id	sid	tid	token	lemma	pos
cet-1012	1	1	chemical	chemical	NOUN
cet-1012	1	2	engineering	engineering	NOUN
cet-1012	1	3	transactions	transaction	NOUN
cet-1012	1	4	vol	vol	NOUN
cet-1012	1	5	.	.	PROPN
cet-1012	2	1	62	62	NUM
cet-1012	2	2	,	,	PUNCT
cet-1012	2	3	2017	2017	NUM
cet-1012	2	4	a	a	DET
cet-1012	2	5	publication	publication	NOUN
cet-1012	2	6	of	of	ADP
cet-1012	2	7	the	the	DET
cet-1012	2	8	italian	italian	ADJ
cet-1012	2	9	association	association	NOUN
cet-1012	2	10	of	of	ADP
cet-1012	2	11	chemical	chemical	PROPN
cet-1012	2	12	engineering	engineering	NOUN
cet-1012	2	13	online	online	ADV
cet-1012	2	14	at	at	ADP
cet-1012	2	15	www.aidic.it/cet	www.aidic.it/cet	PROPN
cet-1012	2	16	guest	guest	PROPN
cet-1012	2	17	editors	editor	NOUN
cet-1012	2	18	:	:	PUNCT
cet-1012	2	19	fei	fei	PROPN
cet-1012	2	20	song	song	PROPN
cet-1012	2	21	,	,	PUNCT
cet-1012	2	22	haibo	haibo	PROPN
cet-1012	2	23	wang	wang	PROPN
cet-1012	2	24	,	,	PUNCT
cet-1012	2	25	fang	fang	PROPN
cet-1012	2	26	he	he	PRON
cet-1012	2	27	copyright	copyright	NOUN
cet-1012	2	28	©	©	PROPN
cet-1012	2	29	2017	2017	NUM
cet-1012	2	30	,	,	PUNCT
cet-1012	2	31	aidic	aidic	ADJ
cet-1012	2	32	servizi	servizi	PROPN
cet-1012	2	33	s.r.l	s.r.l	PROPN
cet-1012	2	34	.	.	PUNCT
cet-1012	3	1	isbn	isbn	ADJ
cet-1012	3	2	978	978	NUM
cet-1012	3	3	-	-	SYM
cet-1012	3	4	88	88	NUM
cet-1012	3	5	-	-	PUNCT
cet-1012	3	6	9560860	9560860	NUM
cet-1012	3	7	-	-	SYM
cet-1012	3	8	0	0	NUM
cet-1012	3	9	;	;	PUNCT
cet-1012	3	10	issn	issn	PROPN
cet-1012	3	11	2283	2283	NUM
cet-1012	3	12	-	-	SYM
cet-1012	3	13	9216	9216	NUM
cet-1012	3	14	research	research	NOUN
cet-1012	3	15	on	on	ADP
cet-1012	3	16	infrared	infrared	ADJ
cet-1012	3	17	spectrum	spectrum	NOUN
cet-1012	3	18	food	food	NOUN
cet-1012	3	19	detection	detection	NOUN
cet-1012	3	20	technology	technology	NOUN
cet-1012	3	21	based	base	VERB
cet-1012	3	22	on	on	ADP
cet-1012	3	23	markov	markov	NOUN
cet-1012	3	24	distance	distance	NOUN
cet-1012	3	25	singular	singular	NOUN
cet-1012	3	26	point	point	NOUN
cet-1012	3	27	identification	identification	NOUN
cet-1012	3	28	method	method	NOUN
cet-1012	3	29	ling	ling	PROPN
cet-1012	3	30	yang*a	yang*a	NUM
cet-1012	3	31	,	,	PUNCT
cet-1012	3	32	ting	ting	PROPN
cet-1012	3	33	wua	wua	PROPN
cet-1012	3	34	,	,	PUNCT
cet-1012	3	35	juan	juan	PROPN
cet-1012	3	36	zoua	zoua	PROPN
cet-1012	3	37	,	,	PUNCT
cet-1012	3	38	yunmao	yunmao	PROPN
cet-1012	3	39	huangb	huangb	NOUN
cet-1012	3	40	,	,	PUNCT
cet-1012	3	41	sarath	sarath	PROPN
cet-1012	3	42	babu	babu	PROPN
cet-1012	3	43	vb	vb	PROPN
cet-1012	3	44	,	,	PUNCT
cet-1012	3	45	li	li	PROPN
cet-1012	3	46	lin*b	lin*b	PROPN
cet-1012	3	47	aschool	aschool	NOUN
cet-1012	3	48	of	of	ADP
cet-1012	3	49	information	information	NOUN
cet-1012	3	50	science	science	NOUN
cet-1012	3	51	and	and	CCONJ
cet-1012	3	52	technology，zhongkai	technology，zhongkai	NOUN
cet-1012	3	53	university	university	NOUN
cet-1012	3	54	of	of	ADP
cet-1012	3	55	agriculture	agriculture	NOUN
cet-1012	3	56	and	and	CCONJ
cet-1012	3	57	engineering	engineering	NOUN
cet-1012	3	58	,	,	PUNCT
cet-1012	3	59	guangzhou	guangzhou	PROPN
cet-1012	3	60	510225	510225	NUM
cet-1012	3	61	,	,	PUNCT
cet-1012	3	62	china	china	PROPN
cet-1012	3	63	bguangzhou	bguangzhou	PROPN
cet-1012	3	64	key	key	PROPN
cet-1012	3	65	laboratory	laboratory	NOUN
cet-1012	3	66	of	of	ADP
cet-1012	3	67	aquatic	aquatic	ADJ
cet-1012	3	68	animal	animal	NOUN
cet-1012	3	69	diseases	disease	NOUN
cet-1012	3	70	and	and	CCONJ
cet-1012	3	71	waterfowl	waterfowl	NOUN
cet-1012	3	72	breeding	breeding	NOUN
cet-1012	3	73	,	,	PUNCT
cet-1012	3	74	guangdong	guangdong	PROPN
cet-1012	3	75	provincial	provincial	ADJ
cet-1012	3	76	key	key	ADJ
cet-1012	3	77	laboratory	laboratory	NOUN
cet-1012	3	78	of	of	ADP
cet-1012	3	79	waterfowl	waterfowl	PROPN
cet-1012	3	80	healthy	healthy	ADJ
cet-1012	3	81	breeding	breeding	NOUN
cet-1012	3	82	,	,	PUNCT
cet-1012	3	83	college	college	NOUN
cet-1012	3	84	of	of	ADP
cet-1012	3	85	animal	animal	NOUN
cet-1012	3	86	sciences	science	NOUN
cet-1012	3	87	and	and	CCONJ
cet-1012	3	88	technology	technology	NOUN
cet-1012	3	89	,	,	PUNCT
cet-1012	3	90	zhongkai	zhongkai	PROPN
cet-1012	3	91	university	university	PROPN
cet-1012	3	92	of	of	ADP
cet-1012	3	93	agriculture	agriculture	PROPN
cet-1012	3	94	and	and	CCONJ
cet-1012	3	95	engineering	engineering	NOUN
cet-1012	3	96	,	,	PUNCT
cet-1012	3	97	guangzhou	guangzhou	PROPN
cet-1012	3	98	,	,	PUNCT
cet-1012	3	99	guangdong	guangdong	PROPN
cet-1012	3	100	510225	510225	NUM
cet-1012	3	101	,	,	PUNCT
cet-1012	3	102	china	china	PROPN
cet-1012	3	103	yang98613@163.com	yang98613@163.com	X
cet-1012	3	104	food	food	NOUN
cet-1012	3	105	safety	safety	NOUN
cet-1012	3	106	is	be	AUX
cet-1012	3	107	one	one	NUM
cet-1012	3	108	of	of	ADP
cet-1012	3	109	the	the	DET
cet-1012	3	110	important	important	ADJ
cet-1012	3	111	problems	problem	NOUN
cet-1012	3	112	in	in	ADP
cet-1012	3	113	the	the	DET
cet-1012	3	114	development	development	NOUN
cet-1012	3	115	of	of	ADP
cet-1012	3	116	society	society	NOUN
cet-1012	3	117	.	.	PUNCT
cet-1012	4	1	conventional	conventional	ADJ
cet-1012	4	2	polymerase	polymerase	NOUN
cet-1012	4	3	chain	chain	NOUN
cet-1012	4	4	reaction	reaction	NOUN
cet-1012	4	5	and	and	CCONJ
cet-1012	4	6	other	other	ADJ
cet-1012	4	7	detection	detection	NOUN
cet-1012	4	8	methods	method	NOUN
cet-1012	4	9	were	be	AUX
cet-1012	4	10	costly	costly	ADJ
cet-1012	4	11	and	and	CCONJ
cet-1012	4	12	complicated	complicated	ADJ
cet-1012	4	13	.	.	PUNCT
cet-1012	5	1	the	the	DET
cet-1012	5	2	paper	paper	NOUN
cet-1012	5	3	presented	present	VERB
cet-1012	5	4	a	a	DET
cet-1012	5	5	method	method	NOUN
cet-1012	5	6	for	for	ADP
cet-1012	5	7	the	the	DET
cet-1012	5	8	infrared	infrared	ADJ
cet-1012	5	9	spectroscopy	spectroscopy	NOUN
cet-1012	5	10	identification	identification	NOUN
cet-1012	5	11	for	for	ADP
cet-1012	5	12	food	food	NOUN
cet-1012	5	13	(	(	PUNCT
cet-1012	5	14	chicken	chicken	NOUN
cet-1012	5	15	,	,	PUNCT
cet-1012	5	16	beef	beef	NOUN
cet-1012	5	17	,	,	PUNCT
cet-1012	5	18	mutton	mutton	NOUN
cet-1012	5	19	as	as	ADP
cet-1012	5	20	examples	example	NOUN
cet-1012	5	21	)	)	PUNCT
cet-1012	5	22	.	.	PUNCT
cet-1012	6	1	in	in	ADP
cet-1012	6	2	the	the	DET
cet-1012	6	3	paper	paper	NOUN
cet-1012	6	4	,	,	PUNCT
cet-1012	6	5	we	we	PRON
cet-1012	6	6	used	use	VERB
cet-1012	6	7	the	the	DET
cet-1012	6	8	markov	markov	NOUN
cet-1012	6	9	distance	distance	NOUN
cet-1012	6	10	singular	singular	NOUN
cet-1012	6	11	point	point	NOUN
cet-1012	6	12	identification	identification	NOUN
cet-1012	6	13	method	method	NOUN
cet-1012	6	14	to	to	PART
cet-1012	6	15	remove	remove	VERB
cet-1012	6	16	the	the	DET
cet-1012	6	17	singular	singular	ADJ
cet-1012	6	18	samples	sample	NOUN
cet-1012	6	19	of	of	ADP
cet-1012	6	20	meat	meat	NOUN
cet-1012	6	21	,	,	PUNCT
cet-1012	6	22	and	and	CCONJ
cet-1012	6	23	improved	improve	VERB
cet-1012	6	24	the	the	DET
cet-1012	6	25	accuracy	accuracy	NOUN
cet-1012	6	26	and	and	CCONJ
cet-1012	6	27	robustness	robustness	NOUN
cet-1012	6	28	of	of	ADP
cet-1012	6	29	the	the	DET
cet-1012	6	30	model	model	NOUN
cet-1012	6	31	.	.	PUNCT
cet-1012	7	1	six	six	NUM
cet-1012	7	2	kinds	kind	NOUN
cet-1012	7	3	of	of	ADP
cet-1012	7	4	pretreatment	pretreatment	NOUN
cet-1012	7	5	methods	method	NOUN
cet-1012	7	6	were	be	AUX
cet-1012	7	7	used	use	VERB
cet-1012	7	8	to	to	PART
cet-1012	7	9	exclude	exclude	VERB
cet-1012	7	10	spectral	spectral	ADJ
cet-1012	7	11	noise	noise	NOUN
cet-1012	7	12	,	,	PUNCT
cet-1012	7	13	distortion	distortion	NOUN
cet-1012	7	14	and	and	CCONJ
cet-1012	7	15	eliminate	eliminate	VERB
cet-1012	7	16	sample	sample	NOUN
cet-1012	7	17	production	production	NOUN
cet-1012	7	18	.	.	PUNCT
cet-1012	8	1	in	in	ADP
cet-1012	8	2	the	the	DET
cet-1012	8	3	process	process	NOUN
cet-1012	8	4	of	of	ADP
cet-1012	8	5	modeling	modeling	NOUN
cet-1012	8	6	,	,	PUNCT
cet-1012	8	7	the	the	DET
cet-1012	8	8	paper	paper	NOUN
cet-1012	8	9	used	use	VERB
cet-1012	8	10	partial	partial	ADJ
cet-1012	8	11	least	least	ADJ
cet-1012	8	12	squares	square	NOUN
cet-1012	8	13	discriminant	discriminant	ADJ
cet-1012	8	14	analysis	analysis	NOUN
cet-1012	8	15	and	and	CCONJ
cet-1012	8	16	bp	bp	PROPN
cet-1012	8	17	neural	neural	ADJ
cet-1012	8	18	network	network	NOUN
cet-1012	8	19	.	.	PUNCT
cet-1012	9	1	the	the	DET
cet-1012	9	2	optimal	optimal	ADJ
cet-1012	9	3	modeling	modeling	NOUN
cet-1012	9	4	method	method	NOUN
cet-1012	9	5	was	be	AUX
cet-1012	9	6	determined	determine	VERB
cet-1012	9	7	by	by	ADP
cet-1012	9	8	comparing	compare	VERB
cet-1012	9	9	decision	decision	NOUN
cet-1012	9	10	coefficient	coefficient	NOUN
cet-1012	9	11	and	and	CCONJ
cet-1012	9	12	the	the	DET
cet-1012	9	13	root	root	NOUN
cet-1012	9	14	mean	mean	VERB
cet-1012	9	15	square	square	ADJ
cet-1012	9	16	error	error	NOUN
cet-1012	9	17	of	of	ADP
cet-1012	9	18	the	the	DET
cet-1012	9	19	correction	correction	NOUN
cet-1012	9	20	set	set	VERB
cet-1012	9	21	and	and	CCONJ
cet-1012	9	22	the	the	DET
cet-1012	9	23	detection	detection	NOUN
cet-1012	9	24	set	set	VERB
cet-1012	9	25	.	.	PUNCT
cet-1012	10	1	the	the	DET
cet-1012	10	2	results	result	NOUN
cet-1012	10	3	showed	show	VERB
cet-1012	10	4	that	that	SCONJ
cet-1012	10	5	the	the	DET
cet-1012	10	6	mahalanobis	mahalanobis	ADJ
cet-1012	10	7	distance	distance	NOUN
cet-1012	10	8	identification	identification	NOUN
cet-1012	10	9	method	method	NOUN
cet-1012	10	10	can	can	AUX
cet-1012	10	11	effectively	effectively	ADV
cet-1012	10	12	eliminate	eliminate	VERB
cet-1012	10	13	the	the	DET
cet-1012	10	14	singular	singular	ADJ
cet-1012	10	15	points	point	NOUN
cet-1012	10	16	,	,	PUNCT
cet-1012	10	17	improve	improve	VERB
cet-1012	10	18	the	the	DET
cet-1012	10	19	model	model	NOUN
cet-1012	10	20	correlation	correlation	NOUN
cet-1012	10	21	coefficient	coefficient	NOUN
cet-1012	10	22	and	and	CCONJ
cet-1012	10	23	reduce	reduce	VERB
cet-1012	10	24	the	the	DET
cet-1012	10	25	error	error	NOUN
cet-1012	10	26	.	.	PUNCT
cet-1012	11	1	the	the	DET
cet-1012	11	2	effect	effect	NOUN
cet-1012	11	3	of	of	ADP
cet-1012	11	4	normalized	normalize	VERB
cet-1012	11	5	pretreatment	pretreatment	NOUN
cet-1012	11	6	was	be	AUX
cet-1012	11	7	the	the	DET
cet-1012	11	8	best	good	ADJ
cet-1012	11	9	.	.	PUNCT
cet-1012	12	1	when	when	SCONJ
cet-1012	12	2	the	the	DET
cet-1012	12	3	number	number	NOUN
cet-1012	12	4	of	of	ADP
cet-1012	12	5	principal	principal	ADJ
cet-1012	12	6	components	component	NOUN
cet-1012	12	7	was	be	AUX
cet-1012	12	8	7	7	NUM
cet-1012	12	9	,	,	PUNCT
cet-1012	12	10	both	both	DET
cet-1012	12	11	pls	pls	NOUN
cet-1012	12	12	-	-	PUNCT
cet-1012	12	13	da	da	NOUN
cet-1012	12	14	and	and	CCONJ
cet-1012	12	15	bp	bp	PROPN
cet-1012	12	16	neural	neural	ADJ
cet-1012	12	17	network	network	NOUN
cet-1012	12	18	can	can	AUX
cet-1012	12	19	effectively	effectively	ADV
cet-1012	12	20	identify	identify	VERB
cet-1012	12	21	three	three	NUM
cet-1012	12	22	kinds	kind	NOUN
cet-1012	12	23	,	,	PUNCT
cet-1012	12	24	and	and	CCONJ
cet-1012	12	25	the	the	DET
cet-1012	12	26	prediction	prediction	NOUN
cet-1012	12	27	accuracy	accuracy	NOUN
cet-1012	12	28	of	of	ADP
cet-1012	12	29	the	the	DET
cet-1012	12	30	detection	detection	NOUN
cet-1012	12	31	set	set	VERB
cet-1012	12	32	was	be	AUX
cet-1012	12	33	100	100	NUM
cet-1012	12	34	%	%	NOUN
cet-1012	12	35	.	.	PUNCT
cet-1012	13	1	the	the	DET
cet-1012	13	2	correction	correction	NOUN
cet-1012	13	3	set	set	VERB
cet-1012	13	4	and	and	CCONJ
cet-1012	13	5	detection	detection	NOUN
cet-1012	13	6	set	set	VERB
cet-1012	13	7	decision	decision	NOUN
cet-1012	13	8	coefficient	coefficient	NOUN
cet-1012	13	9	of	of	ADP
cet-1012	13	10	the	the	DET
cet-1012	13	11	pls	pls	PROPN
cet-1012	13	12	-	-	PUNCT
cet-1012	13	13	da	da	ADJ
cet-1012	13	14	modeling	modeling	NOUN
cet-1012	13	15	method	method	NOUN
cet-1012	13	16	was	be	AUX
cet-1012	13	17	up	up	ADP
cet-1012	13	18	to	to	ADP
cet-1012	13	19	0.99	0.99	NUM
cet-1012	13	20	.	.	PUNCT
cet-1012	14	1	rmsec	rmsec	ADJ
cet-1012	14	2	,	,	PUNCT
cet-1012	14	3	rmsecv	rmsecv	ADJ
cet-1012	14	4	and	and	CCONJ
cet-1012	14	5	rmsep	rmsep	NOUN
cet-1012	14	6	were	be	AUX
cet-1012	14	7	0.06	0.06	NUM
cet-1012	14	8	,	,	PUNCT
cet-1012	14	9	0.08	0.08	NUM
cet-1012	14	10	and	and	CCONJ
cet-1012	14	11	0.08	0.08	NUM
cet-1012	14	12	.	.	PUNCT
cet-1012	15	1	the	the	DET
cet-1012	15	2	model	model	NOUN
cet-1012	15	3	performance	performance	NOUN
cet-1012	15	4	was	be	AUX
cet-1012	15	5	superior	superior	ADJ
cet-1012	15	6	to	to	ADP
cet-1012	15	7	bp	bp	PROPN
cet-1012	15	8	neural	neural	ADJ
cet-1012	15	9	network	network	NOUN
cet-1012	15	10	modeling	modeling	NOUN
cet-1012	15	11	method	method	NOUN
cet-1012	15	12	.	.	PUNCT
cet-1012	16	1	the	the	DET
cet-1012	16	2	infrared	infrared	PROPN
cet-1012	16	3	spectrum	spectrum	NOUN
cet-1012	16	4	detection	detection	NOUN
cet-1012	16	5	technique	technique	NOUN
cet-1012	16	6	,	,	PUNCT
cet-1012	16	7	including	include	VERB
cet-1012	16	8	pls	pls	NOUN
cet-1012	16	9	-	-	PUNCT
cet-1012	16	10	da	da	VERB
cet-1012	16	11	modeling	modeling	NOUN
cet-1012	16	12	method	method	NOUN
cet-1012	16	13	and	and	CCONJ
cet-1012	16	14	markov	markov	NOUN
cet-1012	16	15	distance	distance	NOUN
cet-1012	16	16	singular	singular	NOUN
cet-1012	16	17	point	point	NOUN
cet-1012	16	18	discrimination	discrimination	NOUN
cet-1012	16	19	method	method	NOUN
cet-1012	16	20	,	,	PUNCT
cet-1012	16	21	solved	solve	VERB
cet-1012	16	22	effectively	effectively	ADV
cet-1012	16	23	the	the	DET
cet-1012	16	24	adulteration	adulteration	NOUN
cet-1012	16	25	problem	problem	NOUN
cet-1012	16	26	of	of	ADP
cet-1012	16	27	common	common	ADJ
cet-1012	16	28	livestock	livestock	NOUN
cet-1012	16	29	meat	meat	NOUN
cet-1012	16	30	.	.	PUNCT
cet-1012	17	1	key	key	ADJ
cet-1012	17	2	words	word	NOUN
cet-1012	17	3	:	:	PUNCT
cet-1012	17	4	infrared	infrared	ADJ
cet-1012	17	5	spectroscopy	spectroscopy	NOUN
cet-1012	17	6	,	,	PUNCT
cet-1012	17	7	meat	meat	NOUN
cet-1012	17	8	detection	detection	NOUN
cet-1012	17	9	,	,	PUNCT
cet-1012	17	10	partial	partial	ADJ
cet-1012	17	11	least	least	ADJ
cet-1012	17	12	squares	square	NOUN
cet-1012	17	13	discriminant	discriminant	ADJ
cet-1012	17	14	analysis	analysis	NOUN
cet-1012	17	15	,	,	PUNCT
cet-1012	17	16	bp	bp	PROPN
cet-1012	17	17	neural	neural	ADJ
cet-1012	17	18	network	network	PROPN
cet-1012	17	19	1	1	NUM
cet-1012	17	20	.	.	PUNCT
cet-1012	18	1	introduction	introduction	NOUN
cet-1012	18	2	food	food	NOUN
cet-1012	18	3	safety	safety	NOUN
cet-1012	18	4	is	be	AUX
cet-1012	18	5	one	one	NUM
cet-1012	18	6	of	of	ADP
cet-1012	18	7	the	the	DET
cet-1012	18	8	important	important	ADJ
cet-1012	18	9	problems	problem	NOUN
cet-1012	18	10	in	in	ADP
cet-1012	18	11	the	the	DET
cet-1012	18	12	development	development	NOUN
cet-1012	18	13	of	of	ADP
cet-1012	18	14	society	society	NOUN
cet-1012	18	15	today	today	NOUN
cet-1012	18	16	,	,	PUNCT
cet-1012	18	17	such	such	ADJ
cet-1012	18	18	as	as	ADP
cet-1012	18	19	meat	meat	NOUN
cet-1012	18	20	adulteration	adulteration	NOUN
cet-1012	18	21	and	and	CCONJ
cet-1012	18	22	so	so	ADV
cet-1012	18	23	on.traditional	on.traditional	ADJ
cet-1012	18	24	food	food	NOUN
cet-1012	18	25	identification	identification	NOUN
cet-1012	18	26	methods	method	NOUN
cet-1012	18	27	include	include	VERB
cet-1012	18	28	bioassay	bioassay	NOUN
cet-1012	18	29	methods	method	NOUN
cet-1012	18	30	,	,	PUNCT
cet-1012	18	31	such	such	ADJ
cet-1012	18	32	as	as	ADP
cet-1012	18	33	polymerase	polymerase	NOUN
cet-1012	18	34	chain	chain	NOUN
cet-1012	18	35	reaction	reaction	NOUN
cet-1012	18	36	(	(	PUNCT
cet-1012	18	37	pcr	pcr	PROPN
cet-1012	18	38	)	)	PUNCT
cet-1012	18	39	(	(	PUNCT
cet-1012	18	40	safar	safar	ADV
cet-1012	18	41	et	et	PROPN
cet-1012	18	42	al	al	PROPN
cet-1012	18	43	.	.	PROPN
cet-1012	18	44	,	,	PUNCT
cet-1012	18	45	2014	2014	NUM
cet-1012	18	46	)	)	PUNCT
cet-1012	18	47	,	,	PUNCT
cet-1012	18	48	enzyme	enzyme	NOUN
cet-1012	18	49	-	-	PUNCT
cet-1012	18	50	linked	link	VERB
cet-1012	18	51	immunosorbent	immunosorbent	NOUN
cet-1012	18	52	assay	assay	PROPN
cet-1012	18	53	(	(	PUNCT
cet-1012	18	54	elisa	elisa	NOUN
cet-1012	18	55	)	)	PUNCT
cet-1012	18	56	(	(	PUNCT
cet-1012	18	57	li	li	PROPN
cet-1012	18	58	et	et	PROPN
cet-1012	18	59	al	al	PROPN
cet-1012	18	60	.	.	PROPN
cet-1012	18	61	,	,	PUNCT
cet-1012	18	62	2013	2013	NUM
cet-1012	18	63	)	)	PUNCT
cet-1012	18	64	and	and	CCONJ
cet-1012	18	65	so	so	ADV
cet-1012	18	66	on	on	ADV
cet-1012	18	67	.	.	PUNCT
cet-1012	19	1	although	although	SCONJ
cet-1012	19	2	the	the	DET
cet-1012	19	3	detection	detection	NOUN
cet-1012	19	4	method	method	NOUN
cet-1012	19	5	is	be	AUX
cet-1012	19	6	very	very	ADV
cet-1012	19	7	high	high	ADJ
cet-1012	19	8	accuracy	accuracy	NOUN
cet-1012	19	9	,	,	PUNCT
cet-1012	19	10	it	it	PRON
cet-1012	19	11	has	have	VERB
cet-1012	19	12	the	the	DET
cet-1012	19	13	complicated	complicate	VERB
cet-1012	19	14	process	process	NOUN
cet-1012	19	15	,	,	PUNCT
cet-1012	19	16	high	high	ADJ
cet-1012	19	17	cost	cost	NOUN
cet-1012	19	18	,	,	PUNCT
cet-1012	19	19	long	long	ADJ
cet-1012	19	20	detection	detection	NOUN
cet-1012	19	21	time	time	NOUN
cet-1012	19	22	and	and	CCONJ
cet-1012	19	23	other	other	ADJ
cet-1012	19	24	shortcomings	shortcoming	NOUN
cet-1012	19	25	.	.	PUNCT
cet-1012	20	1	infrared	infrared	ADJ
cet-1012	20	2	spectroscopy	spectroscopy	NOUN
cet-1012	20	3	is	be	AUX
cet-1012	20	4	a	a	DET
cet-1012	20	5	technique	technique	NOUN
cet-1012	20	6	,	,	PUNCT
cet-1012	20	7	in	in	ADP
cet-1012	20	8	accordance	accordance	NOUN
cet-1012	20	9	with	with	ADP
cet-1012	20	10	different	different	ADJ
cet-1012	20	11	absorption	absorption	NOUN
cet-1012	20	12	characteristics	characteristic	NOUN
cet-1012	20	13	of	of	ADP
cet-1012	20	14	the	the	DET
cet-1012	20	15	object	object	NOUN
cet-1012	20	16	internal	internal	ADJ
cet-1012	20	17	atomic	atomic	NOUN
cet-1012	20	18	,	,	PUNCT
cet-1012	20	19	molecular	molecular	ADJ
cet-1012	20	20	and	and	CCONJ
cet-1012	20	21	other	other	ADJ
cet-1012	20	22	specific	specific	ADJ
cet-1012	20	23	structures	structure	NOUN
cet-1012	20	24	to	to	ADP
cet-1012	20	25	electromagnetic	electromagnetic	ADJ
cet-1012	20	26	wave	wave	NOUN
cet-1012	20	27	,	,	PUNCT
cet-1012	20	28	which	which	PRON
cet-1012	20	29	analyzes	analyze	VERB
cet-1012	20	30	qualitative	qualitative	NOUN
cet-1012	20	31	and	and	CCONJ
cet-1012	20	32	quantitative	quantitative	ADJ
cet-1012	20	33	of	of	ADP
cet-1012	20	34	object	object	NOUN
cet-1012	20	35	specific	specific	ADJ
cet-1012	20	36	components	component	NOUN
cet-1012	20	37	.	.	PUNCT
cet-1012	21	1	because	because	SCONJ
cet-1012	21	2	of	of	ADP
cet-1012	21	3	its	its	PRON
cet-1012	21	4	fast	fast	ADJ
cet-1012	21	5	,	,	PUNCT
cet-1012	21	6	lossless	lossless	PROPN
cet-1012	21	7	,	,	PUNCT
cet-1012	21	8	simple	simple	ADJ
cet-1012	21	9	and	and	CCONJ
cet-1012	21	10	so	so	ADV
cet-1012	21	11	on	on	ADV
cet-1012	21	12	,	,	PUNCT
cet-1012	21	13	it	it	PRON
cet-1012	21	14	is	be	AUX
cet-1012	21	15	used	use	VERB
cet-1012	21	16	quickly	quickly	ADV
cet-1012	21	17	in	in	ADP
cet-1012	21	18	agricultural	agricultural	ADJ
cet-1012	21	19	product	product	NOUN
cet-1012	21	20	testing	testing	NOUN
cet-1012	21	21	(	(	PUNCT
cet-1012	21	22	yang	yang	PROPN
cet-1012	21	23	et	et	PROPN
cet-1012	21	24	al	al	PROPN
cet-1012	21	25	.	.	PROPN
cet-1012	21	26	,	,	PUNCT
cet-1012	21	27	2016	2016	NUM
cet-1012	21	28	)	)	PUNCT
cet-1012	21	29	,	,	PUNCT
cet-1012	21	30	,	,	PUNCT
cet-1012	21	31	such	such	ADJ
cet-1012	21	32	as	as	ADP
cet-1012	21	33	,	,	PUNCT
cet-1012	21	34	tea	tea	NOUN
cet-1012	21	35	,	,	PUNCT
cet-1012	21	36	honey	honey	NOUN
cet-1012	21	37	,	,	PUNCT
cet-1012	21	38	wine	wine	NOUN
cet-1012	21	39	,	,	PUNCT
cet-1012	21	40	rice	rice	NOUN
cet-1012	21	41	,	,	PUNCT
cet-1012	21	42	olive	olive	ADJ
cet-1012	21	43	oil	oil	NOUN
cet-1012	21	44	,	,	PUNCT
cet-1012	21	45	meat	meat	NOUN
cet-1012	21	46	products	product	NOUN
cet-1012	21	47	(	(	PUNCT
cet-1012	21	48	huang	huang	PROPN
cet-1012	21	49	et	et	PROPN
cet-1012	21	50	al	al	PROPN
cet-1012	21	51	.	.	PROPN
cet-1012	21	52	,	,	PUNCT
cet-1012	21	53	2015	2015	NUM
cet-1012	21	54	,	,	PUNCT
cet-1012	21	55	kamruzzaman	kamruzzaman	NOUN
cet-1012	21	56	et	et	PROPN
cet-1012	21	57	al	al	PROPN
cet-1012	21	58	.	.	PROPN
cet-1012	21	59	,	,	PUNCT
cet-1012	21	60	2015	2015	NUM
cet-1012	21	61	)	)	PUNCT
cet-1012	21	62	and	and	CCONJ
cet-1012	21	63	so	so	ADV
cet-1012	21	64	on	on	ADV
cet-1012	21	65	.	.	PUNCT
cet-1012	22	1	in	in	ADP
cet-1012	22	2	the	the	DET
cet-1012	22	3	paper	paper	NOUN
cet-1012	22	4	,	,	PUNCT
cet-1012	22	5	we	we	PRON
cet-1012	22	6	carried	carry	VERB
cet-1012	22	7	out	out	ADP
cet-1012	22	8	research	research	NOUN
cet-1012	22	9	on	on	ADP
cet-1012	22	10	infrared	infrared	ADJ
cet-1012	22	11	spectroscopy	spectroscopy	NOUN
cet-1012	22	12	food	food	NOUN
cet-1012	22	13	detection	detection	NOUN
cet-1012	22	14	technology	technology	NOUN
cet-1012	22	15	,	,	PUNCT
cet-1012	22	16	based	base	VERB
cet-1012	22	17	on	on	ADP
cet-1012	22	18	markov	markov	NOUN
cet-1012	22	19	distance	distance	NOUN
cet-1012	22	20	singular	singular	NOUN
cet-1012	22	21	points	point	NOUN
cet-1012	22	22	identification	identification	NOUN
cet-1012	22	23	and	and	CCONJ
cet-1012	22	24	pls	pls	NOUN
cet-1012	22	25	-	-	PUNCT
cet-1012	22	26	da	da	VERB
cet-1012	22	27	modeling	modeling	NOUN
cet-1012	22	28	method	method	NOUN
cet-1012	22	29	,	,	PUNCT
cet-1012	22	30	and	and	CCONJ
cet-1012	22	31	took	take	VERB
cet-1012	22	32	chicken	chicken	NOUN
cet-1012	22	33	,	,	PUNCT
cet-1012	22	34	beef	beef	NOUN
cet-1012	22	35	and	and	CCONJ
cet-1012	22	36	mutton	mutton	NOUN
cet-1012	22	37	as	as	ADP
cet-1012	22	38	examples	example	NOUN
cet-1012	22	39	.	.	PUNCT
cet-1012	23	1	doi	doi	NOUN
cet-1012	23	2	:	:	PUNCT
cet-1012	23	3	10.3303	10.3303	NUM
cet-1012	23	4	/	/	SYM
cet-1012	23	5	cet1762214	cet1762214	ADJ
cet-1012	23	6	please	please	INTJ
cet-1012	23	7	cite	cite	VERB
cet-1012	23	8	this	this	DET
cet-1012	23	9	article	article	NOUN
cet-1012	23	10	as	as	ADP
cet-1012	23	11	:	:	PUNCT
cet-1012	23	12	ling	ling	PROPN
cet-1012	23	13	yang	yang	PROPN
cet-1012	23	14	,	,	PUNCT
cet-1012	23	15	ting	ting	PROPN
cet-1012	23	16	wu	wu	PROPN
cet-1012	23	17	,	,	PUNCT
cet-1012	23	18	juan	juan	PROPN
cet-1012	23	19	zou	zou	PROPN
cet-1012	23	20	,	,	PUNCT
cet-1012	23	21	yunmao	yunmao	PROPN
cet-1012	23	22	huang	huang	PROPN
cet-1012	23	23	,	,	PUNCT
cet-1012	23	24	sarath	sarath	PROPN
cet-1012	23	25	babu	babu	PROPN
cet-1012	23	26	v	v	PROPN
cet-1012	23	27	,	,	PUNCT
cet-1012	23	28	li	li	PROPN
cet-1012	23	29	lin	lin	PROPN
cet-1012	23	30	,	,	PUNCT
cet-1012	23	31	2017	2017	NUM
cet-1012	23	32	,	,	PUNCT
cet-1012	23	33	research	research	NOUN
cet-1012	23	34	on	on	ADP
cet-1012	23	35	infrared	infrared	PROPN
cet-1012	23	36	spectrum	spectrum	NOUN
cet-1012	23	37	food	food	NOUN
cet-1012	23	38	detection	detection	NOUN
cet-1012	23	39	technology	technology	NOUN
cet-1012	23	40	based	base	VERB
cet-1012	23	41	on	on	ADP
cet-1012	23	42	markov	markov	NOUN
cet-1012	23	43	distance	distance	NOUN
cet-1012	23	44	singular	singular	NOUN
cet-1012	23	45	point	point	NOUN
cet-1012	23	46	identification	identification	NOUN
cet-1012	23	47	method	method	NOUN
cet-1012	23	48	,	,	PUNCT
cet-1012	23	49	chemical	chemical	ADJ
cet-1012	23	50	engineering	engineering	NOUN
cet-1012	23	51	transactions	transaction	NOUN
cet-1012	23	52	,	,	PUNCT
cet-1012	23	53	62	62	NUM
cet-1012	23	54	,	,	PUNCT
cet-1012	23	55	1279	1279	NUM
cet-1012	23	56	-	-	SYM
cet-1012	23	57	1284	1284	NUM
cet-1012	23	58	doi:10.3303	doi:10.3303	NOUN
cet-1012	23	59	/	/	SYM
cet-1012	23	60	cet1762214	cet1762214	ADJ
cet-1012	23	61	1279	1279	NUM
cet-1012	23	62	2	2	NUM
cet-1012	23	63	.	.	PUNCT
cet-1012	24	1	materials	material	NOUN
cet-1012	24	2	and	and	CCONJ
cet-1012	24	3	methods	method	NOUN
cet-1012	24	4	2.1	2.1	NUM
cet-1012	24	5	materials	material	NOUN
cet-1012	24	6	the	the	DET
cet-1012	24	7	experiment	experiment	NOUN
cet-1012	24	8	collected	collect	VERB
cet-1012	24	9	respectively	respectively	ADV
cet-1012	24	10	60	60	NUM
cet-1012	24	11	pieces	piece	NOUN
cet-1012	24	12	of	of	ADP
cet-1012	24	13	chicken	chicken	NOUN
cet-1012	24	14	,	,	PUNCT
cet-1012	24	15	beef	beef	NOUN
cet-1012	24	16	and	and	CCONJ
cet-1012	24	17	mutton	mutton	NOUN
cet-1012	24	18	,	,	PUNCT
cet-1012	24	19	which	which	PRON
cet-1012	24	20	collected	collect	VERB
cet-1012	24	21	from	from	ADP
cet-1012	24	22	meat	meat	NOUN
cet-1012	24	23	shops	shop	NOUN
cet-1012	24	24	and	and	CCONJ
cet-1012	24	25	supermarkets	supermarket	NOUN
cet-1012	24	26	in	in	ADP
cet-1012	24	27	2015	2015	NUM
cet-1012	24	28	,	,	PUNCT
cet-1012	24	29	11	11	NUM
cet-1012	24	30	.	.	PUNCT
cet-1012	24	31	put	put	VERB
cet-1012	24	32	them	they	PRON
cet-1012	24	33	to	to	ADP
cet-1012	24	34	the	the	DET
cet-1012	24	35	refrigerator	refrigerator	NOUN
cet-1012	24	36	,	,	PUNCT
cet-1012	24	37	cut	cut	VERB
cet-1012	24	38	them	they	PRON
cet-1012	24	39	into	into	ADP
cet-1012	24	40	thin	thin	ADJ
cet-1012	24	41	slices	slice	NOUN
cet-1012	24	42	,	,	PUNCT
cet-1012	24	43	put	put	VERB
cet-1012	24	44	them	they	PRON
cet-1012	24	45	in	in	ADP
cet-1012	24	46	the	the	DET
cet-1012	24	47	45	45	NUM
cet-1012	24	48	incubator	incubator	NOUN
cet-1012	24	49	for	for	ADP
cet-1012	24	50	48	48	NUM
cet-1012	24	51	hours	hour	NOUN
cet-1012	24	52	,	,	PUNCT
cet-1012	24	53	grind	grind	VERB
cet-1012	24	54	into	into	ADP
cet-1012	24	55	powder	powder	NOUN
cet-1012	24	56	and	and	CCONJ
cet-1012	24	57	store	store	NOUN
cet-1012	24	58	in	in	ADP
cet-1012	24	59	a	a	DET
cet-1012	24	60	dry	dry	ADJ
cet-1012	24	61	plastic	plastic	NOUN
cet-1012	24	62	wrap	wrap	NOUN
cet-1012	24	63	,	,	PUNCT
cet-1012	24	64	before	before	ADP
cet-1012	24	65	spectral	spectral	ADJ
cet-1012	24	66	scanning	scanning	NOUN
cet-1012	24	67	.	.	PUNCT
cet-1012	25	1	2.2	2.2	NUM
cet-1012	25	2	instrument	instrument	NOUN
cet-1012	25	3	and	and	CCONJ
cet-1012	25	4	spectral	spectral	ADJ
cet-1012	25	5	acquisition	acquisition	NOUN
cet-1012	25	6	use	use	VERB
cet-1012	25	7	fourier	fourier	NOUN
cet-1012	25	8	transform	transform	NOUN
cet-1012	25	9	infrared	infrared	ADJ
cet-1012	25	10	spectroscopy	spectroscopy	NOUN
cet-1012	25	11	(	(	PUNCT
cet-1012	25	12	ftir	ftir	PROPN
cet-1012	25	13	)	)	PUNCT
cet-1012	25	14	to	to	PART
cet-1012	25	15	carry	carry	VERB
cet-1012	25	16	out	out	ADP
cet-1012	25	17	the	the	DET
cet-1012	25	18	transmission	transmission	NOUN
cet-1012	25	19	spectra	spectra	NOUN
cet-1012	25	20	acquisition	acquisition	NOUN
cet-1012	25	21	.	.	PUNCT
cet-1012	26	1	spectrum	spectrum	NOUN
cet-1012	26	2	analyzer	analyzer	NOUN
cet-1012	26	3	wave	wave	NOUN
cet-1012	26	4	number	number	NOUN
cet-1012	26	5	range	range	NOUN
cet-1012	26	6	was	be	AUX
cet-1012	26	7	4000	4000	NUM
cet-1012	26	8	-	-	SYM
cet-1012	26	9	450cm-1	450cm-1	NUM
cet-1012	26	10	,	,	PUNCT
cet-1012	26	11	resolution	resolution	NOUN
cet-1012	26	12	was	be	AUX
cet-1012	26	13	0.4cm-1	0.4cm-1	NUM
cet-1012	26	14	,	,	PUNCT
cet-1012	26	15	scanning	scan	VERB
cet-1012	26	16	ambient	ambient	ADJ
cet-1012	26	17	temperature	temperature	NOUN
cet-1012	26	18	was	be	AUX
cet-1012	26	19	25	25	NUM
cet-1012	26	20	�	�	NOUN
cet-1012	26	21	,	,	PUNCT
cet-1012	26	22	and	and	CCONJ
cet-1012	26	23	humidity	humidity	NOUN
cet-1012	26	24	was	be	AUX
cet-1012	26	25	30	30	NUM
cet-1012	26	26	±	±	NUM
cet-1012	26	27	5	5	NUM
cet-1012	26	28	%	%	NOUN
cet-1012	26	29	.	.	PUNCT
cet-1012	27	1	each	each	DET
cet-1012	27	2	sample	sample	NOUN
cet-1012	27	3	was	be	AUX
cet-1012	27	4	scanned	scan	VERB
cet-1012	27	5	three	three	NUM
cet-1012	27	6	times	time	NOUN
cet-1012	27	7	to	to	PART
cet-1012	27	8	gain	gain	VERB
cet-1012	27	9	the	the	DET
cet-1012	27	10	original	original	ADJ
cet-1012	27	11	spectral	spectral	ADJ
cet-1012	27	12	data	datum	NOUN
cet-1012	27	13	.	.	PUNCT
cet-1012	28	1	during	during	ADP
cet-1012	28	2	the	the	DET
cet-1012	28	3	test	test	NOUN
cet-1012	28	4	,	,	PUNCT
cet-1012	28	5	the	the	DET
cet-1012	28	6	environment	environment	NOUN
cet-1012	28	7	was	be	AUX
cet-1012	28	8	consistent	consistent	ADJ
cet-1012	28	9	and	and	CCONJ
cet-1012	28	10	the	the	DET
cet-1012	28	11	background	background	NOUN
cet-1012	28	12	spectrum	spectrum	NOUN
cet-1012	28	13	was	be	AUX
cet-1012	28	14	measured	measure	VERB
cet-1012	28	15	every	every	DET
cet-1012	28	16	2	2	NUM
cet-1012	28	17	hours	hour	NOUN
cet-1012	28	18	.	.	PUNCT
cet-1012	29	1	2.3	2.3	NUM
cet-1012	29	2	methods	method	NOUN
cet-1012	29	3	2.3.1	2.3.1	NUM
cet-1012	29	4	markov	markov	NOUN
cet-1012	29	5	distance	distance	NOUN
cet-1012	29	6	method	method	NOUN
cet-1012	29	7	to	to	PART
cet-1012	29	8	exclude	exclude	VERB
cet-1012	29	9	singular	singular	ADJ
cet-1012	29	10	points	point	NOUN
cet-1012	29	11	because	because	SCONJ
cet-1012	29	12	of	of	ADP
cet-1012	29	13	the	the	DET
cet-1012	29	14	pollution	pollution	NOUN
cet-1012	29	15	during	during	ADP
cet-1012	29	16	the	the	DET
cet-1012	29	17	process	process	NOUN
cet-1012	29	18	of	of	ADP
cet-1012	29	19	sample	sample	NOUN
cet-1012	29	20	preparation	preparation	NOUN
cet-1012	29	21	or	or	CCONJ
cet-1012	29	22	the	the	DET
cet-1012	29	23	influence	influence	NOUN
cet-1012	29	24	of	of	ADP
cet-1012	29	25	equipment	equipment	NOUN
cet-1012	29	26	and	and	CCONJ
cet-1012	29	27	environment	environment	NOUN
cet-1012	29	28	during	during	ADP
cet-1012	29	29	the	the	DET
cet-1012	29	30	process	process	NOUN
cet-1012	29	31	of	of	ADP
cet-1012	29	32	spectral	spectral	ADJ
cet-1012	29	33	acquisition	acquisition	NOUN
cet-1012	29	34	,	,	PUNCT
cet-1012	29	35	there	there	PRON
cet-1012	29	36	mought	mought	VERB
cet-1012	29	37	be	be	AUX
cet-1012	29	38	individual	individual	ADJ
cet-1012	29	39	singular	singular	ADJ
cet-1012	29	40	points	point	NOUN
cet-1012	29	41	.	.	PUNCT
cet-1012	30	1	they	they	PRON
cet-1012	30	2	had	have	VERB
cet-1012	30	3	a	a	DET
cet-1012	30	4	great	great	ADJ
cet-1012	30	5	influence	influence	NOUN
cet-1012	30	6	on	on	ADP
cet-1012	30	7	the	the	DET
cet-1012	30	8	robustness	robustness	NOUN
cet-1012	30	9	and	and	CCONJ
cet-1012	30	10	precision	precision	NOUN
cet-1012	30	11	,	,	PUNCT
cet-1012	30	12	so	so	SCONJ
cet-1012	30	13	they	they	PRON
cet-1012	30	14	need	need	VERB
cet-1012	30	15	to	to	PART
cet-1012	30	16	be	be	AUX
cet-1012	30	17	eliminated	eliminate	VERB
cet-1012	30	18	.	.	PUNCT
cet-1012	31	1	in	in	ADP
cet-1012	31	2	the	the	DET
cet-1012	31	3	paper	paper	NOUN
cet-1012	31	4	,	,	PUNCT
cet-1012	31	5	we	we	PRON
cet-1012	31	6	used	use	VERB
cet-1012	31	7	markov	markov	NOUN
cet-1012	31	8	distance	distance	NOUN
cet-1012	31	9	method	method	NOUN
cet-1012	31	10	to	to	PART
cet-1012	31	11	exclude	exclude	VERB
cet-1012	31	12	singular	singular	ADJ
cet-1012	31	13	points	point	NOUN
cet-1012	31	14	.	.	PUNCT
cet-1012	32	1	as	as	SCONJ
cet-1012	32	2	was	be	AUX
cet-1012	32	3	shown	show	VERB
cet-1012	32	4	to	to	PART
cet-1012	32	5	be	be	AUX
cet-1012	32	6	:	:	PUNCT
cet-1012	32	7	1	1	NUM
cet-1012	32	8	(	(	PUNCT
cet-1012	32	9	)	)	PUNCT
cet-1012	32	10	(	(	PUNCT
cet-1012	32	11	)	)	PUNCT
cet-1012	32	12	(	(	PUNCT
cet-1012	32	13	)	)	PUNCT
cet-1012	32	14	t	t	NOUN
cet-1012	32	15	i	i	PRON
cet-1012	33	1	i	i	PRON
cet-1012	33	2	i	i	VERB
cet-1012	33	3	d	d	NOUN
cet-1012	33	4	x	x	PUNCT
cet-1012	33	5	x	x	PUNCT
cet-1012	33	6	x	x	X
cet-1012	33	7	s	s	NOUN
cet-1012	33	8	x	x	NOUN
cet-1012	33	9	x−=	x−=	NOUN
cet-1012	34	1	−	−	PROPN
cet-1012	35	1	−	−	PROPN
cet-1012	36	1	(	(	PUNCT
cet-1012	36	2	1	1	NUM
cet-1012	36	3	)	)	PUNCT
cet-1012	36	4	where	where	SCONJ
cet-1012	36	5	xi	xi	PROPN
cet-1012	36	6	was	be	AUX
cet-1012	36	7	the	the	DET
cet-1012	36	8	ith	ith	PROPN
cet-1012	36	9	spectral	spectral	PROPN
cet-1012	36	10	vector	vector	PROPN
cet-1012	36	11	,	,	PUNCT
cet-1012	36	12	x	x	PRON
cet-1012	36	13	was	be	AUX
cet-1012	36	14	the	the	DET
cet-1012	36	15	average	average	ADJ
cet-1012	36	16	spectrum	spectrum	NOUN
cet-1012	36	17	of	of	ADP
cet-1012	36	18	the	the	DET
cet-1012	36	19	spectral	spectral	ADJ
cet-1012	36	20	vector	vector	NOUN
cet-1012	36	21	,	,	PUNCT
cet-1012	36	22	s	s	PART
cet-1012	36	23	was	be	AUX
cet-1012	36	24	the	the	DET
cet-1012	36	25	covariance	covariance	NOUN
cet-1012	36	26	matrix	matrix	NOUN
cet-1012	36	27	,	,	PUNCT
cet-1012	36	28	and	and	CCONJ
cet-1012	36	29	d	d	X
cet-1012	36	30	(	(	PUNCT
cet-1012	36	31	xi	xi	PROPN
cet-1012	36	32	)	)	PUNCT
cet-1012	36	33	was	be	AUX
cet-1012	36	34	the	the	DET
cet-1012	36	35	markov	markov	NOUN
cet-1012	36	36	distance	distance	NOUN
cet-1012	36	37	from	from	ADP
cet-1012	36	38	the	the	DET
cet-1012	36	39	sample	sample	NOUN
cet-1012	36	40	vector	vector	NOUN
cet-1012	36	41	xi	xi	X
cet-1012	36	42	to	to	ADP
cet-1012	36	43	the	the	DET
cet-1012	36	44	average	average	ADJ
cet-1012	36	45	spectrum	spectrum	NOUN
cet-1012	36	46	.	.	PUNCT
cet-1012	37	1	since	since	SCONJ
cet-1012	37	2	the	the	DET
cet-1012	37	3	60	60	NUM
cet-1012	37	4	samples	sample	NOUN
cet-1012	37	5	collected	collect	VERB
cet-1012	37	6	from	from	ADP
cet-1012	37	7	the	the	DET
cet-1012	37	8	same	same	ADJ
cet-1012	37	9	meat	meat	NOUN
cet-1012	37	10	were	be	AUX
cet-1012	37	11	similar	similar	ADJ
cet-1012	37	12	,	,	PUNCT
cet-1012	37	13	a	a	DET
cet-1012	37	14	certain	certain	ADJ
cet-1012	37	15	mahalanobis	mahalanobis	ADJ
cet-1012	37	16	distance	distance	NOUN
cet-1012	37	17	threshold	threshold	NOUN
cet-1012	37	18	can	can	AUX
cet-1012	37	19	be	be	AUX
cet-1012	37	20	set	set	VERB
cet-1012	37	21	to	to	PART
cet-1012	37	22	exclude	exclude	VERB
cet-1012	37	23	the	the	DET
cet-1012	37	24	abnormal	abnormal	ADJ
cet-1012	37	25	sample	sample	NOUN
cet-1012	37	26	.	.	PUNCT
cet-1012	38	1	as	as	SCONJ
cet-1012	38	2	was	be	AUX
cet-1012	38	3	shown	show	VERB
cet-1012	38	4	in	in	ADP
cet-1012	38	5	equation	equation	NOUN
cet-1012	38	6	(	(	PUNCT
cet-1012	38	7	2	2	NUM
cet-1012	38	8	)	)	PUNCT
cet-1012	38	9	,	,	PUNCT
cet-1012	38	10	t	t	PROPN
cet-1012	38	11	was	be	AUX
cet-1012	38	12	the	the	DET
cet-1012	38	13	threshold	threshold	NOUN
cet-1012	38	14	,	,	PUNCT
cet-1012	38	15	d	d	PROPN
cet-1012	38	16	was	be	AUX
cet-1012	38	17	the	the	DET
cet-1012	38	18	average	average	ADJ
cet-1012	38	19	spectrum	spectrum	NOUN
cet-1012	38	20	,	,	PUNCT
cet-1012	38	21	δ	δ	PROPN
cet-1012	38	22	was	be	AUX
cet-1012	38	23	the	the	DET
cet-1012	38	24	adjustment	adjustment	NOUN
cet-1012	38	25	parameter	parameter	NOUN
cet-1012	38	26	,	,	PUNCT
cet-1012	38	27	σd	σd	PROPN
cet-1012	38	28	was	be	AUX
cet-1012	38	29	the	the	DET
cet-1012	38	30	markov	markov	NOUN
cet-1012	38	31	distance	distance	NOUN
cet-1012	38	32	standard	standard	ADJ
cet-1012	38	33	deviation	deviation	NOUN
cet-1012	38	34	.	.	PUNCT
cet-1012	39	1	dt	dt	PUNCT
cet-1012	40	1	d	d	X
cet-1012	40	2	δ	δ	X
cet-1012	40	3	σ=	σ=	NOUN
cet-1012	40	4	+	+	CCONJ
cet-1012	40	5	×	×	PROPN
cet-1012	40	6	(	(	PUNCT
cet-1012	40	7	2	2	NUM
cet-1012	40	8	)	)	PUNCT
cet-1012	40	9	in	in	ADP
cet-1012	40	10	the	the	DET
cet-1012	40	11	paper	paper	NOUN
cet-1012	40	12	,	,	PUNCT
cet-1012	40	13	ensure	ensure	VERB
cet-1012	40	14	δ	δ	NOUN
cet-1012	40	15	=	=	SYM
cet-1012	40	16	3	3	NUM
cet-1012	41	1	[	[	X
cet-1012	41	2	6	6	NUM
cet-1012	41	3	]	]	PUNCT
cet-1012	41	4	to	to	PART
cet-1012	41	5	determine	determine	VERB
cet-1012	41	6	the	the	DET
cet-1012	41	7	mahalanha	mahalanha	NOUN
cet-1012	41	8	distance	distance	NOUN
cet-1012	41	9	threshold	threshold	NOUN
cet-1012	41	10	.	.	PUNCT
cet-1012	42	1	when	when	SCONJ
cet-1012	42	2	d	d	X
cet-1012	42	3	(	(	PUNCT
cet-1012	42	4	xi	xi	PROPN
cet-1012	42	5	)	)	PUNCT
cet-1012	42	6	was	be	AUX
cet-1012	42	7	greater	great	ADJ
cet-1012	42	8	than	than	ADP
cet-1012	42	9	t	t	PROPN
cet-1012	42	10	,	,	PUNCT
cet-1012	42	11	it	it	PRON
cet-1012	42	12	can	can	AUX
cet-1012	42	13	be	be	AUX
cet-1012	42	14	considered	consider	VERB
cet-1012	42	15	as	as	ADP
cet-1012	42	16	a	a	DET
cet-1012	42	17	singular	singular	ADJ
cet-1012	42	18	point	point	NOUN
cet-1012	42	19	and	and	CCONJ
cet-1012	42	20	excluded	exclude	VERB
cet-1012	42	21	.	.	PUNCT
cet-1012	43	1	2.3.2	2.3.2	NUM
cet-1012	43	2	partial	partial	ADJ
cet-1012	43	3	least	least	ADJ
cet-1012	43	4	squares	square	NOUN
cet-1012	43	5	discriminant	discriminant	ADJ
cet-1012	43	6	analysis	analysis	NOUN
cet-1012	43	7	partial	partial	ADJ
cet-1012	43	8	least	least	ADJ
cet-1012	43	9	squares	square	NOUN
cet-1012	43	10	(	(	PUNCT
cet-1012	43	11	pls	pls	INTJ
cet-1012	43	12	)	)	PUNCT
cet-1012	43	13	is	be	AUX
cet-1012	43	14	a	a	DET
cet-1012	43	15	common	common	ADJ
cet-1012	43	16	multivariate	multivariate	NOUN
cet-1012	43	17	statistical	statistical	ADJ
cet-1012	43	18	method	method	NOUN
cet-1012	43	19	,	,	PUNCT
cet-1012	43	20	and	and	CCONJ
cet-1012	43	21	widely	widely	ADV
cet-1012	43	22	used	use	VERB
cet-1012	43	23	to	to	ADP
cet-1012	43	24	the	the	DET
cet-1012	43	25	establishment	establishment	NOUN
cet-1012	43	26	of	of	ADP
cet-1012	43	27	spectral	spectral	ADJ
cet-1012	43	28	models	model	NOUN
cet-1012	43	29	now	now	ADV
cet-1012	43	30	.	.	PUNCT
cet-1012	44	1	this	this	DET
cet-1012	44	2	algorithm	algorithm	NOUN
cet-1012	44	3	combines	combine	VERB
cet-1012	44	4	factor	factor	NOUN
cet-1012	44	5	analysis	analysis	NOUN
cet-1012	44	6	and	and	CCONJ
cet-1012	44	7	regression	regression	NOUN
cet-1012	44	8	analysis	analysis	NOUN
cet-1012	44	9	,	,	PUNCT
cet-1012	44	10	spectral	spectral	ADJ
cet-1012	44	11	matrix	matrix	NOUN
cet-1012	44	12	x	x	PUNCT
cet-1012	44	13	and	and	CCONJ
cet-1012	44	14	the	the	DET
cet-1012	44	15	concentration	concentration	NOUN
cet-1012	44	16	matrix	matrix	NOUN
cet-1012	44	17	y	y	PROPN
cet-1012	44	18	in	in	ADP
cet-1012	44	19	the	the	DET
cet-1012	44	20	spectrum	spectrum	NOUN
cet-1012	44	21	are	be	AUX
cet-1012	44	22	decomposed	decompose	VERB
cet-1012	44	23	at	at	ADP
cet-1012	44	24	the	the	DET
cet-1012	44	25	same	same	ADJ
cet-1012	44	26	time	time	NOUN
cet-1012	44	27	,	,	PUNCT
cet-1012	44	28	and	and	CCONJ
cet-1012	44	29	find	find	VERB
cet-1012	44	30	its	its	PRON
cet-1012	44	31	potential	potential	ADJ
cet-1012	44	32	scalar	scalar	NOUN
cet-1012	44	33	.	.	PUNCT
cet-1012	45	1	partial	partial	ADJ
cet-1012	45	2	least	least	ADJ
cet-1012	45	3	squares	square	NOUN
cet-1012	45	4	are	be	AUX
cet-1012	45	5	always	always	ADV
cet-1012	45	6	used	use	VERB
cet-1012	45	7	for	for	ADP
cet-1012	45	8	quantitative	quantitative	ADJ
cet-1012	45	9	analysis	analysis	NOUN
cet-1012	45	10	.	.	PUNCT
cet-1012	46	1	in	in	ADP
cet-1012	46	2	qualitative	qualitative	ADJ
cet-1012	46	3	analysis	analysis	NOUN
cet-1012	46	4	,	,	PUNCT
cet-1012	46	5	since	since	SCONJ
cet-1012	46	6	it	it	PRON
cet-1012	46	7	has	have	VERB
cet-1012	46	8	not	not	PART
cet-1012	46	9	concentration	concentration	NOUN
cet-1012	46	10	matrix	matrix	NOUN
cet-1012	46	11	y	y	NOUN
cet-1012	46	12	,	,	PUNCT
cet-1012	46	13	it	it	PRON
cet-1012	46	14	is	be	AUX
cet-1012	46	15	necessary	necessary	ADJ
cet-1012	46	16	to	to	PART
cet-1012	46	17	manually	manually	ADV
cet-1012	46	18	assign	assign	VERB
cet-1012	46	19	y	y	PROPN
cet-1012	46	20	,	,	PUNCT
cet-1012	46	21	and	and	CCONJ
cet-1012	46	22	then	then	ADV
cet-1012	46	23	use	use	VERB
cet-1012	46	24	the	the	DET
cet-1012	46	25	partial	partial	ADJ
cet-1012	46	26	least	least	ADJ
cet-1012	46	27	squares	square	NOUN
cet-1012	46	28	method	method	VERB
cet-1012	46	29	to	to	PART
cet-1012	46	30	convert	convert	VERB
cet-1012	46	31	to	to	ADP
cet-1012	46	32	quantitative	quantitative	ADJ
cet-1012	46	33	analysis	analysis	NOUN
cet-1012	46	34	.	.	PUNCT
cet-1012	47	1	in	in	ADP
cet-1012	47	2	this	this	DET
cet-1012	47	3	study	study	NOUN
cet-1012	47	4	,	,	PUNCT
cet-1012	47	5	we	we	PRON
cet-1012	47	6	used	use	VERB
cet-1012	47	7	the	the	DET
cet-1012	47	8	cross	cross	NOUN
cet-1012	47	9	validation	validation	NOUN
cet-1012	47	10	method	method	NOUN
cet-1012	47	11	to	to	PART
cet-1012	47	12	calculate	calculate	VERB
cet-1012	47	13	the	the	DET
cet-1012	47	14	sum	sum	NOUN
cet-1012	47	15	of	of	ADP
cet-1012	47	16	squares	square	NOUN
cet-1012	47	17	of	of	ADP
cet-1012	47	18	predicted	predict	VERB
cet-1012	47	19	residuals	residual	NOUN
cet-1012	47	20	in	in	ADP
cet-1012	47	21	the	the	DET
cet-1012	47	22	modeling	modeling	NOUN
cet-1012	47	23	process	process	NOUN
cet-1012	47	24	,	,	PUNCT
cet-1012	47	25	fought	fight	VERB
cet-1012	47	26	the	the	DET
cet-1012	47	27	number	number	NOUN
cet-1012	47	28	of	of	ADP
cet-1012	47	29	the	the	DET
cet-1012	47	30	best	good	ADJ
cet-1012	47	31	potential	potential	ADJ
cet-1012	47	32	variables	variable	NOUN
cet-1012	47	33	,	,	PUNCT
cet-1012	47	34	and	and	CCONJ
cet-1012	47	35	established	establish	VERB
cet-1012	47	36	a	a	DET
cet-1012	47	37	linear	linear	ADJ
cet-1012	47	38	regression	regression	NOUN
cet-1012	47	39	model	model	NOUN
cet-1012	47	40	.	.	PUNCT
cet-1012	48	1	2.4	2.4	NUM
cet-1012	48	2	spectral	spectral	ADJ
cet-1012	48	3	analysis	analysis	NOUN
cet-1012	48	4	use	use	VERB
cet-1012	48	5	unscrambler	unscrambler	NOUN
cet-1012	48	6	x	x	PUNCT
cet-1012	48	7	10.3	10.3	NUM
cet-1012	48	8	and	and	CCONJ
cet-1012	48	9	tq	tq	ADP
cet-1012	48	10	analyst	analyst	NOUN
cet-1012	48	11	8.0	8.0	NUM
cet-1012	48	12	to	to	PART
cet-1012	48	13	pretreat	pretreat	VERB
cet-1012	48	14	original	original	ADJ
cet-1012	48	15	spectral	spectral	ADJ
cet-1012	48	16	information	information	NOUN
cet-1012	48	17	and	and	CCONJ
cet-1012	48	18	do	do	AUX
cet-1012	48	19	pls	pls	NOUN
cet-1012	48	20	-	-	PUNCT
cet-1012	48	21	da	da	VERB
cet-1012	48	22	analysis	analysis	NOUN
cet-1012	48	23	.	.	PUNCT
cet-1012	49	1	the	the	DET
cet-1012	49	2	mahalay	mahalay	NOUN
cet-1012	49	3	distance	distance	NOUN
cet-1012	49	4	calculation	calculation	NOUN
cet-1012	49	5	and	and	CCONJ
cet-1012	49	6	bp	bp	PROPN
cet-1012	49	7	neural	neural	ADJ
cet-1012	49	8	network	network	NOUN
cet-1012	49	9	analysis	analysis	NOUN
cet-1012	49	10	were	be	AUX
cet-1012	49	11	carried	carry	VERB
cet-1012	49	12	out	out	ADP
cet-1012	49	13	by	by	ADP
cet-1012	49	14	matlab	matlab	PROPN
cet-1012	49	15	.	.	PUNCT
cet-1012	50	1	2.5	2.5	NUM
cet-1012	50	2	establish	establish	VERB
cet-1012	50	3	pls	pls	PROPN
cet-1012	50	4	-	-	PUNCT
cet-1012	50	5	da	da	PROPN
cet-1012	50	6	and	and	CCONJ
cet-1012	50	7	bp	bp	PROPN
cet-1012	50	8	neural	neural	ADJ
cet-1012	50	9	network	network	NOUN
cet-1012	50	10	models	model	NOUN
cet-1012	50	11	in	in	ADP
cet-1012	50	12	the	the	DET
cet-1012	50	13	paper	paper	NOUN
cet-1012	50	14	,	,	PUNCT
cet-1012	50	15	pls	pls	INTJ
cet-1012	50	16	-	-	PUNCT
cet-1012	50	17	da	da	PROPN
cet-1012	50	18	and	and	CCONJ
cet-1012	50	19	bp	bp	PROPN
cet-1012	50	20	neural	neural	ADJ
cet-1012	50	21	network	network	NOUN
cet-1012	50	22	were	be	AUX
cet-1012	50	23	used	use	VERB
cet-1012	50	24	to	to	PART
cet-1012	50	25	establish	establish	VERB
cet-1012	50	26	the	the	DET
cet-1012	50	27	identification	identification	NOUN
cet-1012	50	28	model	model	NOUN
cet-1012	50	29	of	of	ADP
cet-1012	50	30	chicken	chicken	NOUN
cet-1012	50	31	,	,	PUNCT
cet-1012	50	32	cattle	cattle	NOUN
cet-1012	50	33	and	and	CCONJ
cet-1012	50	34	mutton	mutton	NOUN
cet-1012	50	35	,	,	PUNCT
cet-1012	50	36	compare	compare	VERB
cet-1012	50	37	the	the	DET
cet-1012	50	38	advantages	advantage	NOUN
cet-1012	50	39	and	and	CCONJ
cet-1012	50	40	disadvantages	disadvantage	NOUN
cet-1012	50	41	of	of	ADP
cet-1012	50	42	the	the	DET
cet-1012	50	43	two	two	NUM
cet-1012	50	44	methods	method	NOUN
cet-1012	50	45	,	,	PUNCT
cet-1012	50	46	and	and	CCONJ
cet-1012	50	47	find	find	VERB
cet-1012	50	48	the	the	DET
cet-1012	50	49	most	most	ADV
cet-1012	50	50	appropriate	appropriate	ADJ
cet-1012	50	51	identification	identification	NOUN
cet-1012	50	52	model	model	NOUN
cet-1012	50	53	.	.	PUNCT
cet-1012	51	1	in	in	ADP
cet-1012	51	2	the	the	DET
cet-1012	51	3	modeling	modeling	NOUN
cet-1012	51	4	process	process	NOUN
cet-1012	51	5	,	,	PUNCT
cet-1012	51	6	the	the	DET
cet-1012	51	7	test	test	NOUN
cet-1012	51	8	samples	sample	NOUN
cet-1012	51	9	were	be	AUX
cet-1012	51	10	divided	divide	VERB
cet-1012	51	11	into	into	ADP
cet-1012	51	12	calibration	calibration	NOUN
cet-1012	51	13	sets	set	NOUN
cet-1012	51	14	and	and	CCONJ
cet-1012	51	15	detection	detection	NOUN
cet-1012	51	16	sets	set	NOUN
cet-1012	51	17	.	.	PUNCT
cet-1012	52	1	in	in	ADP
cet-1012	52	2	the	the	DET
cet-1012	52	3	paper	paper	NOUN
cet-1012	52	4	,	,	PUNCT
cet-1012	52	5	38,39,39	38,39,39	NUM
cet-1012	52	6	samples	sample	NOUN
cet-1012	52	7	of	of	ADP
cet-1012	52	8	chicken	chicken	NOUN
cet-1012	52	9	,	,	PUNCT
cet-1012	52	10	cattle	cattle	NOUN
cet-1012	52	11	and	and	CCONJ
cet-1012	52	12	sheep	sheep	NOUN
cet-1012	52	13	were	be	AUX
cet-1012	52	14	randomly	randomly	ADV
cet-1012	52	15	selected	select	VERB
cet-1012	52	16	as	as	ADP
cet-1012	52	17	the	the	DET
cet-1012	52	18	calibration	calibration	NOUN
cet-1012	52	19	set	set	NOUN
cet-1012	52	20	,	,	PUNCT
cet-1012	52	21	and	and	CCONJ
cet-1012	52	22	the	the	DET
cet-1012	52	23	remaining	remain	VERB
cet-1012	52	24	20,20,20	20,20,20	NUM
cet-1012	52	25	samples	sample	NOUN
cet-1012	52	26	were	be	AUX
cet-1012	52	27	used	use	VERB
cet-1012	52	28	as	as	ADP
cet-1012	52	29	the	the	DET
cet-1012	52	30	test	test	NOUN
cet-1012	52	31	set	set	NOUN
cet-1012	52	32	,	,	PUNCT
cet-1012	52	33	to	to	PART
cet-1012	52	34	establish	establish	VERB
cet-1012	52	35	the	the	DET
cet-1012	52	36	model	model	NOUN
cet-1012	52	37	.	.	PUNCT
cet-1012	53	1	1280	1280	NUM
cet-1012	53	2	3	3	NUM
cet-1012	53	3	.	.	NOUN
cet-1012	53	4	results	result	NOUN
cet-1012	53	5	and	and	CCONJ
cet-1012	53	6	analysis	analysis	NOUN
cet-1012	53	7	3.1	3.1	NUM
cet-1012	53	8	the	the	DET
cet-1012	53	9	original	original	ADJ
cet-1012	53	10	spectral	spectral	ADJ
cet-1012	53	11	curve	curve	NOUN
cet-1012	53	12	the	the	DET
cet-1012	53	13	original	original	ADJ
cet-1012	53	14	spectrum	spectrum	NOUN
cet-1012	53	15	of	of	ADP
cet-1012	53	16	the	the	DET
cet-1012	53	17	collected	collect	VERB
cet-1012	53	18	chicken	chicken	NOUN
cet-1012	53	19	,	,	PUNCT
cet-1012	53	20	beef	beef	NOUN
cet-1012	53	21	,	,	PUNCT
cet-1012	53	22	and	and	CCONJ
cet-1012	53	23	lamb	lamb	PROPN
cet-1012	53	24	was	be	AUX
cet-1012	53	25	shown	show	VERB
cet-1012	53	26	in	in	ADP
cet-1012	53	27	figure	figure	NOUN
cet-1012	53	28	1	1	NUM
cet-1012	53	29	.	.	PUNCT
cet-1012	54	1	in	in	ADP
cet-1012	54	2	order	order	NOUN
cet-1012	54	3	to	to	PART
cet-1012	54	4	judge	judge	VERB
cet-1012	54	5	the	the	DET
cet-1012	54	6	differences	difference	NOUN
cet-1012	54	7	between	between	ADP
cet-1012	54	8	different	different	ADJ
cet-1012	54	9	meat	meat	NOUN
cet-1012	54	10	,	,	PUNCT
cet-1012	54	11	three	three	NUM
cet-1012	54	12	kinds	kind	NOUN
cet-1012	54	13	of	of	ADP
cet-1012	54	14	meat	meat	NOUN
cet-1012	54	15	were	be	AUX
cet-1012	54	16	averaged	average	VERB
cet-1012	54	17	.	.	PUNCT
cet-1012	55	1	as	as	SCONJ
cet-1012	55	2	was	be	AUX
cet-1012	55	3	shown	show	VERB
cet-1012	55	4	in	in	ADP
cet-1012	55	5	figure	figure	NOUN
cet-1012	55	6	2	2	NUM
cet-1012	55	7	,	,	PUNCT
cet-1012	55	8	three	three	NUM
cet-1012	55	9	kinds	kind	NOUN
cet-1012	55	10	in	in	ADP
cet-1012	55	11	the	the	DET
cet-1012	55	12	2922	2922	NUM
cet-1012	55	13	cm-1	cm-1	NOUN
cet-1012	55	14	,	,	PUNCT
cet-1012	55	15	1742	1742	NUM
cet-1012	55	16	cm-1	cm-1	PROPN
cet-1012	55	17	,	,	PUNCT
cet-1012	55	18	1653	1653	NUM
cet-1012	55	19	cm-1	cm-1	NOUN
cet-1012	55	20	,	,	PUNCT
cet-1012	55	21	1546	1546	NUM
cet-1012	55	22	cm-1	cm-1	NOUN
cet-1012	55	23	and	and	CCONJ
cet-1012	55	24	other	other	ADJ
cet-1012	55	25	bands	band	NOUN
cet-1012	55	26	had	have	VERB
cet-1012	55	27	a	a	DET
cet-1012	55	28	strong	strong	ADJ
cet-1012	55	29	absorption	absorption	NOUN
cet-1012	55	30	peak	peak	NOUN
cet-1012	55	31	.	.	PUNCT
cet-1012	56	1	that	that	PRON
cet-1012	56	2	was	be	AUX
cet-1012	56	3	absorption	absorption	NOUN
cet-1012	56	4	,	,	PUNCT
cet-1012	56	5	from	from	ADP
cet-1012	56	6	hydrocarbon	hydrocarbon	NOUN
cet-1012	56	7	group	group	NOUN
cet-1012	56	8	,	,	PUNCT
cet-1012	56	9	carbonate	carbonate	NOUN
cet-1012	56	10	,	,	PUNCT
cet-1012	56	11	and	and	CCONJ
cet-1012	56	12	fatty	fatty	NOUN
cet-1012	56	13	acid	acid	NOUN
cet-1012	56	14	ester	ester	NOUN
cet-1012	56	15	of	of	ADP
cet-1012	56	16	meat	meat	NOUN
cet-1012	56	17	.	.	PUNCT
cet-1012	57	1	it	it	PRON
cet-1012	57	2	could	could	AUX
cet-1012	57	3	be	be	AUX
cet-1012	57	4	seen	see	VERB
cet-1012	57	5	from	from	ADP
cet-1012	57	6	figure	figure	NOUN
cet-1012	57	7	2	2	NUM
cet-1012	57	8	that	that	SCONJ
cet-1012	57	9	the	the	DET
cet-1012	57	10	absorbance	absorbance	NOUN
cet-1012	57	11	of	of	ADP
cet-1012	57	12	the	the	DET
cet-1012	57	13	spectrum	spectrum	NOUN
cet-1012	57	14	of	of	ADP
cet-1012	57	15	beef	beef	NOUN
cet-1012	57	16	was	be	AUX
cet-1012	57	17	stronger	strong	ADJ
cet-1012	57	18	.	.	PUNCT
cet-1012	58	1	but	but	CCONJ
cet-1012	58	2	when	when	SCONJ
cet-1012	58	3	the	the	DET
cet-1012	58	4	three	three	NUM
cet-1012	58	5	kinds	kind	NOUN
cet-1012	58	6	of	of	ADP
cet-1012	58	7	spectra	spectra	NOUN
cet-1012	58	8	were	be	AUX
cet-1012	58	9	normalized	normalize	VERB
cet-1012	58	10	,	,	PUNCT
cet-1012	58	11	the	the	DET
cet-1012	58	12	spectral	spectral	ADJ
cet-1012	58	13	absorption	absorption	NOUN
cet-1012	58	14	bands	band	NOUN
cet-1012	58	15	were	be	AUX
cet-1012	58	16	similar	similar	ADJ
cet-1012	58	17	and	and	CCONJ
cet-1012	58	18	the	the	DET
cet-1012	58	19	difference	difference	NOUN
cet-1012	58	20	was	be	AUX
cet-1012	58	21	not	not	PART
cet-1012	58	22	obviously	obviously	ADV
cet-1012	58	23	.	.	PUNCT
cet-1012	59	1	figure	figure	VERB
cet-1012	59	2	1	1	NUM
cet-1012	59	3	:	:	PUNCT
cet-1012	59	4	the	the	DET
cet-1012	59	5	original	original	ADJ
cet-1012	59	6	spectrum	spectrum	NOUN
cet-1012	59	7	of	of	ADP
cet-1012	59	8	chicken	chicken	NOUN
cet-1012	59	9	,	,	PUNCT
cet-1012	59	10	beef	beef	NOUN
cet-1012	59	11	,	,	PUNCT
cet-1012	59	12	lamb	lamb	PROPN
cet-1012	59	13	figure	figure	NOUN
cet-1012	59	14	2	2	NUM
cet-1012	59	15	:	:	PUNCT
cet-1012	59	16	the	the	DET
cet-1012	59	17	average	average	ADJ
cet-1012	59	18	spectrums	spectrum	NOUN
cet-1012	59	19	3.2	3.2	NUM
cet-1012	59	20	markov	markov	NOUN
cet-1012	59	21	distance	distance	NOUN
cet-1012	59	22	exclusion	exclusion	NOUN
cet-1012	59	23	singular	singular	NOUN
cet-1012	59	24	points	point	VERB
cet-1012	59	25	respectively	respectively	ADV
cet-1012	59	26	,	,	PUNCT
cet-1012	59	27	use	use	VERB
cet-1012	59	28	the	the	DET
cet-1012	59	29	formula	formula	NOUN
cet-1012	59	30	(	(	PUNCT
cet-1012	59	31	1	1	NUM
cet-1012	59	32	)	)	PUNCT
cet-1012	59	33	(	(	PUNCT
cet-1012	59	34	2	2	X
cet-1012	59	35	)	)	PUNCT
cet-1012	59	36	for	for	ADP
cet-1012	59	37	the	the	DET
cet-1012	59	38	mahalanobis	mahalanobis	ADJ
cet-1012	59	39	distance	distance	NOUN
cet-1012	59	40	between	between	ADP
cet-1012	59	41	samples	sample	NOUN
cet-1012	59	42	and	and	CCONJ
cet-1012	59	43	the	the	DET
cet-1012	59	44	average	average	ADJ
cet-1012	59	45	spectrum	spectrum	NOUN
cet-1012	59	46	,	,	PUNCT
cet-1012	59	47	and	and	CCONJ
cet-1012	59	48	the	the	DET
cet-1012	59	49	adjustment	adjustment	NOUN
cet-1012	59	50	parameter	parameter	PROPN
cet-1012	59	51	δ	δ	PROPN
cet-1012	59	52	was	be	AUX
cet-1012	59	53	3	3	NUM
cet-1012	59	54	,	,	PUNCT
cet-1012	59	55	singular	singular	ADJ
cet-1012	59	56	points	point	NOUN
cet-1012	59	57	was	be	AUX
cet-1012	59	58	shown	show	VERB
cet-1012	59	59	in	in	ADP
cet-1012	59	60	figure	figure	NOUN
cet-1012	59	61	3	3	NUM
cet-1012	59	62	:	:	PUNCT
cet-1012	59	63	(	(	PUNCT
cet-1012	59	64	a	a	X
cet-1012	59	65	)	)	PUNCT
cet-1012	59	66	beef	beef	NOUN
cet-1012	59	67	(	(	PUNCT
cet-1012	59	68	b	b	NOUN
cet-1012	59	69	)	)	PUNCT
cet-1012	59	70	chicken	chicken	NOUN
cet-1012	59	71	(	(	PUNCT
cet-1012	59	72	c	c	NOUN
cet-1012	59	73	)	)	PUNCT
cet-1012	59	74	mutton	mutton	NOUN
cet-1012	59	75	figure	figure	NOUN
cet-1012	59	76	3	3	NUM
cet-1012	59	77	:	:	PUNCT
cet-1012	59	78	the	the	DET
cet-1012	59	79	singular	singular	PROPN
cet-1012	59	80	points	point	VERB
cet-1012	59	81	recognition	recognition	NOUN
cet-1012	59	82	of	of	ADP
cet-1012	59	83	chicken	chicken	NOUN
cet-1012	59	84	,	,	PUNCT
cet-1012	59	85	cattle	cattle	NOUN
cet-1012	59	86	,	,	PUNCT
cet-1012	59	87	sheep	sheep	NOUN
cet-1012	59	88	samples	sample	NOUN
cet-1012	59	89	1281	1281	NUM
cet-1012	59	90	in	in	ADP
cet-1012	59	91	the	the	DET
cet-1012	59	92	beef	beef	NOUN
cet-1012	59	93	sample	sample	NOUN
cet-1012	59	94	,	,	PUNCT
cet-1012	59	95	the	the	DET
cet-1012	59	96	mahalanobis	mahalanobis	ADJ
cet-1012	59	97	distance	distance	NOUN
cet-1012	59	98	of	of	ADP
cet-1012	59	99	53th	53th	PROPN
cet-1012	59	100	sample	sample	NOUN
cet-1012	59	101	was	be	AUX
cet-1012	59	102	18.55	18.55	NUM
cet-1012	59	103	,	,	PUNCT
cet-1012	59	104	far	far	ADV
cet-1012	59	105	higher	high	ADJ
cet-1012	59	106	than	than	ADP
cet-1012	59	107	8.74(the	8.74(the	DET
cet-1012	59	108	set	set	VERB
cet-1012	59	109	threshold	threshold	NOUN
cet-1012	59	110	)	)	PUNCT
cet-1012	59	111	,	,	PUNCT
cet-1012	59	112	so	so	CCONJ
cet-1012	59	113	it	it	PRON
cet-1012	59	114	was	be	AUX
cet-1012	59	115	excluded	exclude	VERB
cet-1012	59	116	.	.	PUNCT
cet-1012	60	1	in	in	ADP
cet-1012	60	2	the	the	DET
cet-1012	60	3	chicken	chicken	NOUN
cet-1012	60	4	samples	sample	NOUN
cet-1012	60	5	,	,	PUNCT
cet-1012	60	6	the	the	DET
cet-1012	60	7	markov	markov	NOUN
cet-1012	60	8	distances	distance	NOUN
cet-1012	60	9	of	of	ADP
cet-1012	60	10	the	the	DET
cet-1012	60	11	first	first	ADJ
cet-1012	60	12	and	and	CCONJ
cet-1012	60	13	the	the	DET
cet-1012	60	14	53th	53th	NOUN
cet-1012	60	15	samples	sample	NOUN
cet-1012	60	16	were	be	AUX
cet-1012	60	17	11.44	11.44	NUM
cet-1012	60	18	and	and	CCONJ
cet-1012	60	19	10.14	10.14	NUM
cet-1012	60	20	,	,	PUNCT
cet-1012	60	21	respectively	respectively	ADV
cet-1012	60	22	,	,	PUNCT
cet-1012	60	23	far	far	ADV
cet-1012	60	24	higher	high	ADJ
cet-1012	60	25	than	than	ADP
cet-1012	60	26	7.66	7.66	NUM
cet-1012	60	27	(	(	PUNCT
cet-1012	60	28	the	the	DET
cet-1012	60	29	set	set	NOUN
cet-1012	60	30	threshold	threshold	NOUN
cet-1012	60	31	)	)	PUNCT
cet-1012	60	32	,	,	PUNCT
cet-1012	60	33	so	so	CCONJ
cet-1012	60	34	it	it	PRON
cet-1012	60	35	was	be	AUX
cet-1012	60	36	excluded	exclude	VERB
cet-1012	60	37	.	.	PUNCT
cet-1012	61	1	similarly	similarly	ADV
cet-1012	61	2	,	,	PUNCT
cet-1012	61	3	the	the	DET
cet-1012	61	4	20th	20th	ADJ
cet-1012	61	5	sample	sample	NOUN
cet-1012	61	6	in	in	ADP
cet-1012	61	7	the	the	DET
cet-1012	61	8	mutton	mutton	NOUN
cet-1012	61	9	sample	sample	NOUN
cet-1012	61	10	was	be	AUX
cet-1012	61	11	excluded	exclude	VERB
cet-1012	61	12	.	.	PUNCT
cet-1012	62	1	the	the	DET
cet-1012	62	2	performance	performance	NOUN
cet-1012	62	3	of	of	ADP
cet-1012	62	4	the	the	DET
cet-1012	62	5	model	model	NOUN
cet-1012	62	6	before	before	ADP
cet-1012	62	7	and	and	CCONJ
cet-1012	62	8	after	after	ADP
cet-1012	62	9	the	the	DET
cet-1012	62	10	removal	removal	NOUN
cet-1012	62	11	of	of	ADP
cet-1012	62	12	the	the	DET
cet-1012	62	13	singular	singular	ADJ
cet-1012	62	14	points	point	NOUN
cet-1012	62	15	was	be	AUX
cet-1012	62	16	shown	show	VERB
cet-1012	62	17	in	in	ADP
cet-1012	62	18	table	table	NOUN
cet-1012	62	19	1	1	NUM
cet-1012	62	20	.	.	PUNCT
cet-1012	63	1	it	it	PRON
cet-1012	63	2	could	could	AUX
cet-1012	63	3	be	be	AUX
cet-1012	63	4	seen	see	VERB
cet-1012	63	5	that	that	SCONJ
cet-1012	63	6	the	the	DET
cet-1012	63	7	decision	decision	NOUN
cet-1012	63	8	coefficient	coefficient	NOUN
cet-1012	63	9	of	of	ADP
cet-1012	63	10	the	the	DET
cet-1012	63	11	model	model	NOUN
cet-1012	63	12	calibration	calibration	NOUN
cet-1012	63	13	set	set	VERB
cet-1012	63	14	and	and	CCONJ
cet-1012	63	15	the	the	DET
cet-1012	63	16	detection	detection	NOUN
cet-1012	63	17	set	set	NOUN
cet-1012	63	18	,	,	PUNCT
cet-1012	63	19	mean	mean	ADJ
cet-1012	63	20	square	square	ADJ
cet-1012	63	21	error	error	NOUN
cet-1012	63	22	and	and	CCONJ
cet-1012	63	23	the	the	DET
cet-1012	63	24	cross	cross	ADJ
cet-1012	63	25	-	-	ADJ
cet-1012	63	26	validation	validation	ADJ
cet-1012	63	27	variance	variance	NOUN
cet-1012	63	28	of	of	ADP
cet-1012	63	29	the	the	DET
cet-1012	63	30	corrected	correct	VERB
cet-1012	63	31	set	set	NOUN
cet-1012	63	32	were	be	AUX
cet-1012	63	33	improved	improve	VERB
cet-1012	63	34	.	.	PUNCT
cet-1012	64	1	the	the	DET
cet-1012	64	2	singular	singular	PROPN
cet-1012	64	3	points	point	NOUN
cet-1012	64	4	had	have	VERB
cet-1012	64	5	a	a	DET
cet-1012	64	6	great	great	ADJ
cet-1012	64	7	influence	influence	NOUN
cet-1012	64	8	on	on	ADP
cet-1012	64	9	the	the	DET
cet-1012	64	10	model	model	NOUN
cet-1012	64	11	,	,	PUNCT
cet-1012	64	12	and	and	CCONJ
cet-1012	64	13	the	the	DET
cet-1012	64	14	model	model	NOUN
cet-1012	64	15	performance	performance	NOUN
cet-1012	64	16	was	be	AUX
cet-1012	64	17	obviously	obviously	ADV
cet-1012	64	18	optimized	optimize	VERB
cet-1012	64	19	after	after	SCONJ
cet-1012	64	20	the	the	DET
cet-1012	64	21	singular	singular	ADJ
cet-1012	64	22	point	point	NOUN
cet-1012	64	23	excluded	exclude	VERB
cet-1012	64	24	.	.	PUNCT
cet-1012	65	1	table	table	NOUN
cet-1012	65	2	1	1	NUM
cet-1012	65	3	:	:	PUNCT
cet-1012	65	4	the	the	DET
cet-1012	65	5	performance	performance	NOUN
cet-1012	65	6	of	of	ADP
cet-1012	65	7	the	the	DET
cet-1012	65	8	model	model	NOUN
cet-1012	65	9	before	before	ADP
cet-1012	65	10	and	and	CCONJ
cet-1012	65	11	after	after	ADP
cet-1012	65	12	the	the	DET
cet-1012	65	13	removal	removal	NOUN
cet-1012	65	14	of	of	ADP
cet-1012	65	15	the	the	DET
cet-1012	65	16	singular	singular	ADJ
cet-1012	65	17	point	point	NOUN
cet-1012	65	18	sample	sample	NOUN
cet-1012	65	19	r2	r2	PROPN
cet-1012	65	20	cal	cal	X
cet-1012	66	1	rmsec	rmsec	PROPN
cet-1012	66	2	r2	r2	PROPN
cet-1012	66	3	val	val	PROPN
cet-1012	66	4	rmsecv	rmsecv	ADJ
cet-1012	66	5	before	before	ADP
cet-1012	66	6	thremoval	thremoval	NOUN
cet-1012	66	7	0.96	0.96	NUM
cet-1012	66	8	0.17	0.17	NUM
cet-1012	66	9	0.93	0.93	NUM
cet-1012	66	10	0.21	0.21	NUM
cet-1012	66	11	after	after	ADP
cet-1012	66	12	the	the	DET
cet-1012	66	13	removal	removal	NOUN
cet-1012	66	14	0.98	0.98	NUM
cet-1012	66	15	0.09	0.09	NUM
cet-1012	66	16	0.99	0.99	NUM
cet-1012	66	17	0.11	0.11	NUM
cet-1012	66	18	3.3	3.3	NUM
cet-1012	66	19	spectral	spectral	ADJ
cet-1012	66	20	pretreatment	pretreatment	NOUN
cet-1012	66	21	in	in	ADP
cet-1012	66	22	the	the	DET
cet-1012	66	23	original	original	ADJ
cet-1012	66	24	spectrum	spectrum	NOUN
cet-1012	66	25	acquisition	acquisition	NOUN
cet-1012	66	26	process	process	NOUN
cet-1012	66	27	,	,	PUNCT
cet-1012	66	28	in	in	ADP
cet-1012	66	29	order	order	NOUN
cet-1012	66	30	to	to	PART
cet-1012	66	31	exclude	exclude	VERB
cet-1012	66	32	affection	affection	NOUN
cet-1012	66	33	caused	cause	VERB
cet-1012	66	34	by	by	ADP
cet-1012	66	35	the	the	DET
cet-1012	66	36	equipment	equipment	NOUN
cet-1012	66	37	,	,	PUNCT
cet-1012	66	38	environment	environment	NOUN
cet-1012	66	39	,	,	PUNCT
cet-1012	66	40	sample	sample	NOUN
cet-1012	66	41	production	production	NOUN
cet-1012	66	42	and	and	CCONJ
cet-1012	66	43	other	other	ADJ
cet-1012	66	44	factors	factor	NOUN
cet-1012	66	45	,	,	PUNCT
cet-1012	66	46	the	the	DET
cet-1012	66	47	original	original	ADJ
cet-1012	66	48	spectral	spectral	ADJ
cet-1012	66	49	analysis	analysis	NOUN
cet-1012	66	50	was	be	AUX
cet-1012	66	51	carried	carry	VERB
cet-1012	66	52	out	out	ADP
cet-1012	66	53	by	by	ADP
cet-1012	66	54	six	six	NUM
cet-1012	66	55	preprocessing	preprocessing	NOUN
cet-1012	66	56	methods	method	NOUN
cet-1012	66	57	,	,	PUNCT
cet-1012	66	58	including	include	VERB
cet-1012	66	59	multiple	multiple	ADJ
cet-1012	66	60	scattering	scatter	VERB
cet-1012	66	61	correction	correction	NOUN
cet-1012	66	62	(	(	PUNCT
cet-1012	66	63	msc	msc	PROPN
cet-1012	66	64	)	)	PUNCT
cet-1012	66	65	,	,	PUNCT
cet-1012	66	66	standard	standard	ADJ
cet-1012	66	67	normal	normal	ADJ
cet-1012	66	68	transform	transform	NOUN
cet-1012	66	69	(	(	PUNCT
cet-1012	66	70	snv	snv	PROPN
cet-1012	66	71	)	)	PUNCT
cet-1012	66	72	,	,	PUNCT
cet-1012	66	73	first	first	ADJ
cet-1012	66	74	order	order	NOUN
cet-1012	66	75	derivation	derivation	NOUN
cet-1012	66	76	,	,	PUNCT
cet-1012	66	77	second	second	ADJ
cet-1012	66	78	order	order	NOUN
cet-1012	66	79	derivation	derivation	NOUN
cet-1012	66	80	,	,	PUNCT
cet-1012	66	81	savitzky	savitzky	NOUN
cet-1012	66	82	-	-	PUNCT
cet-1012	66	83	golay	golay	NOUN
cet-1012	66	84	smoothing	smoothing	NOUN
cet-1012	66	85	,	,	PUNCT
cet-1012	66	86	normalization	normalization	NOUN
cet-1012	66	87	.	.	PUNCT
cet-1012	67	1	as	as	SCONJ
cet-1012	67	2	is	be	AUX
cet-1012	67	3	shown	show	VERB
cet-1012	67	4	in	in	ADP
cet-1012	67	5	table	table	NOUN
cet-1012	67	6	2	2	NUM
cet-1012	67	7	:	:	PUNCT
cet-1012	67	8	table	table	NOUN
cet-1012	67	9	2	2	NUM
cet-1012	67	10	:	:	PUNCT
cet-1012	67	11	effects	effect	NOUN
cet-1012	67	12	of	of	ADP
cet-1012	67	13	six	six	NUM
cet-1012	67	14	pretreatment	pretreatment	NOUN
cet-1012	67	15	methods	method	NOUN
cet-1012	67	16	on	on	ADP
cet-1012	67	17	the	the	DET
cet-1012	67	18	identification	identification	NOUN
cet-1012	67	19	model	model	NOUN
cet-1012	67	20	pretreatment	pretreatment	NOUN
cet-1012	67	21	methods	method	NOUN
cet-1012	67	22	r2	r2	PROPN
cet-1012	67	23	cal	cal	X
cet-1012	67	24	rmsec	rmsec	PROPN
cet-1012	67	25	r2	r2	PROPN
cet-1012	67	26	val	val	PROPN
cet-1012	67	27	rmsecv	rmsecv	PROPN
cet-1012	67	28	prediction	prediction	NOUN
cet-1012	67	29	accuracy	accuracy	NOUN
cet-1012	67	30	of	of	ADP
cet-1012	67	31	detection	detection	NOUN
cet-1012	67	32	set	set	VERB
cet-1012	67	33	/%	/%	PRON
cet-1012	67	34	original	original	ADJ
cet-1012	67	35	spectrum	spectrum	NOUN
cet-1012	67	36	0.98	0.98	NUM
cet-1012	67	37	0.09	0.09	NUM
cet-1012	67	38	0.99	0.99	NUM
cet-1012	67	39	0.11	0.11	NUM
cet-1012	67	40	91.7	91.7	NUM
cet-1012	67	41	second	second	ADJ
cet-1012	67	42	order	order	NOUN
cet-1012	67	43	derivative	derivative	NOUN
cet-1012	67	44	0.94	0.94	NUM
cet-1012	67	45	0.03	0.03	NUM
cet-1012	67	46	0.99	0.99	NUM
cet-1012	67	47	0.2	0.2	NUM
cet-1012	67	48	3	3	NUM
cet-1012	67	49	first	first	ADJ
cet-1012	67	50	order	order	NOUN
cet-1012	67	51	derivative	derivative	NOUN
cet-1012	67	52	0.97	0.97	NUM
cet-1012	67	53	0.03	0.03	NUM
cet-1012	67	54	0.99	0.99	NUM
cet-1012	67	55	0.16	0.16	NUM
cet-1012	67	56	33	33	NUM
cet-1012	67	57	normalization	normalization	NOUN
cet-1012	67	58	0.99	0.99	NUM
cet-1012	67	59	0.06	0.06	NUM
cet-1012	67	60	0.99	0.99	NUM
cet-1012	67	61	0.08	0.08	NUM
cet-1012	67	62	100	100	NUM
cet-1012	67	63	savitzky	savitzky	NOUN
cet-1012	67	64	-	-	PUNCT
cet-1012	67	65	golay	golay	NOUN
cet-1012	67	66	0.98	0.98	NUM
cet-1012	67	67	0.09	0.09	NUM
cet-1012	67	68	0.99	0.99	NUM
cet-1012	67	69	0.11	0.11	NUM
cet-1012	67	70	90	90	NUM
cet-1012	67	71	msc	msc	PROPN
cet-1012	67	72	0.97	0.97	NUM
cet-1012	67	73	0.12	0.12	NUM
cet-1012	67	74	0.98	0.98	NUM
cet-1012	67	75	0.14	0.14	NUM
cet-1012	67	76	98.3	98.3	NUM
cet-1012	67	77	snv	snv	NOUN
cet-1012	67	78	0.97	0.97	NUM
cet-1012	67	79	0.11	0.11	NUM
cet-1012	67	80	0.98	0.98	NUM
cet-1012	67	81	0.13	0.13	NUM
cet-1012	67	82	98.3	98.3	NUM
cet-1012	67	83	the	the	DET
cet-1012	67	84	first	first	ADJ
cet-1012	67	85	-	-	PUNCT
cet-1012	67	86	order	order	NOUN
cet-1012	67	87	derivation	derivation	NOUN
cet-1012	67	88	and	and	CCONJ
cet-1012	67	89	second	second	ADJ
cet-1012	67	90	-	-	PUNCT
cet-1012	67	91	order	order	NOUN
cet-1012	67	92	derivation	derivation	NOUN
cet-1012	67	93	amplified	amplify	VERB
cet-1012	67	94	the	the	DET
cet-1012	67	95	characteristic	characteristic	ADJ
cet-1012	67	96	absorption	absorption	NOUN
cet-1012	67	97	band	band	NOUN
cet-1012	67	98	and	and	CCONJ
cet-1012	67	99	the	the	DET
cet-1012	67	100	noise	noise	NOUN
cet-1012	67	101	,	,	PUNCT
cet-1012	67	102	which	which	PRON
cet-1012	67	103	reduced	reduce	VERB
cet-1012	67	104	performance	performance	NOUN
cet-1012	67	105	and	and	CCONJ
cet-1012	67	106	accuracy	accuracy	NOUN
cet-1012	67	107	.	.	PUNCT
cet-1012	68	1	the	the	DET
cet-1012	68	2	normalization	normalization	NOUN
cet-1012	68	3	was	be	AUX
cet-1012	68	4	able	able	ADJ
cet-1012	68	5	to	to	PART
cet-1012	68	6	exclude	exclude	VERB
cet-1012	68	7	thickness	thickness	NOUN
cet-1012	68	8	and	and	CCONJ
cet-1012	68	9	transmittance	transmittance	NOUN
cet-1012	68	10	of	of	ADP
cet-1012	68	11	different	different	ADJ
cet-1012	68	12	sample	sample	NOUN
cet-1012	68	13	,	,	PUNCT
cet-1012	68	14	and	and	CCONJ
cet-1012	68	15	it	it	PRON
cet-1012	68	16	could	could	AUX
cet-1012	68	17	effectively	effectively	ADV
cet-1012	68	18	eliminate	eliminate	VERB
cet-1012	68	19	the	the	DET
cet-1012	68	20	difference	difference	NOUN
cet-1012	68	21	between	between	ADP
cet-1012	68	22	the	the	DET
cet-1012	68	23	same	same	ADJ
cet-1012	68	24	kinds	kind	NOUN
cet-1012	68	25	,	,	PUNCT
cet-1012	68	26	so	so	SCONJ
cet-1012	68	27	the	the	DET
cet-1012	68	28	effect	effect	NOUN
cet-1012	68	29	was	be	AUX
cet-1012	68	30	best	good	ADJ
cet-1012	68	31	.	.	PUNCT
cet-1012	69	1	it	it	PRON
cet-1012	69	2	could	could	AUX
cet-1012	69	3	be	be	AUX
cet-1012	69	4	seen	see	VERB
cet-1012	69	5	that	that	SCONJ
cet-1012	69	6	the	the	DET
cet-1012	69	7	decision	decision	NOUN
cet-1012	69	8	co	co	NOUN
cet-1012	69	9	-	-	NOUN
cet-1012	69	10	efficiency	efficiency	NOUN
cet-1012	69	11	of	of	ADP
cet-1012	69	12	correction	correction	NOUN
cet-1012	69	13	set	set	VERB
cet-1012	69	14	and	and	CCONJ
cet-1012	69	15	the	the	DET
cet-1012	69	16	detection	detection	NOUN
cet-1012	69	17	set	set	VERB
cet-1012	69	18	was	be	AUX
cet-1012	69	19	both	both	PRON
cet-1012	69	20	0.99	0.99	NUM
cet-1012	69	21	,	,	PUNCT
cet-1012	69	22	rmsec	rmsec	ADJ
cet-1012	69	23	and	and	CCONJ
cet-1012	69	24	rmsecv	rmsecv	ADJ
cet-1012	69	25	was	be	AUX
cet-1012	69	26	0.06	0.06	NUM
cet-1012	69	27	and	and	CCONJ
cet-1012	69	28	0.08	0.08	NUM
cet-1012	69	29	.	.	PUNCT
cet-1012	70	1	the	the	DET
cet-1012	70	2	model	model	NOUN
cet-1012	70	3	performance	performance	NOUN
cet-1012	70	4	was	be	AUX
cet-1012	70	5	excellent	excellent	ADJ
cet-1012	70	6	.	.	PUNCT
cet-1012	71	1	the	the	DET
cet-1012	71	2	accuracy	accuracy	NOUN
cet-1012	71	3	of	of	ADP
cet-1012	71	4	20	20	NUM
cet-1012	71	5	samples	sample	NOUN
cet-1012	71	6	was	be	AUX
cet-1012	71	7	100	100	NUM
cet-1012	71	8	%	%	NOUN
cet-1012	71	9	.	.	PUNCT
cet-1012	72	1	3.4	3.4	NUM
cet-1012	72	2	the	the	DET
cet-1012	72	3	analysis	analysis	NOUN
cet-1012	72	4	of	of	ADP
cet-1012	72	5	results	result	NOUN
cet-1012	72	6	in	in	ADP
cet-1012	72	7	the	the	DET
cet-1012	72	8	establishment	establishment	NOUN
cet-1012	72	9	of	of	ADP
cet-1012	72	10	pls	pls	PROPN
cet-1012	72	11	-	-	PUNCT
cet-1012	72	12	da	da	NOUN
cet-1012	72	13	model	model	NOUN
cet-1012	72	14	,	,	PUNCT
cet-1012	72	15	cattle	cattle	NOUN
cet-1012	72	16	,	,	PUNCT
cet-1012	72	17	chicken	chicken	NOUN
cet-1012	72	18	,	,	PUNCT
cet-1012	72	19	sheep	sheep	NOUN
cet-1012	72	20	were	be	AUX
cet-1012	72	21	given	give	VERB
cet-1012	72	22	-1	-1	PROPN
cet-1012	72	23	,	,	PUNCT
cet-1012	72	24	0	0	NUM
cet-1012	72	25	,	,	PUNCT
cet-1012	72	26	1	1	NUM
cet-1012	72	27	in	in	ADP
cet-1012	72	28	the	the	DET
cet-1012	72	29	paper	paper	NOUN
cet-1012	72	30	.	.	PUNCT
cet-1012	73	1	after	after	SCONJ
cet-1012	73	2	the	the	DET
cet-1012	73	3	model	model	NOUN
cet-1012	73	4	established	establish	VERB
cet-1012	73	5	,	,	PUNCT
cet-1012	73	6	the	the	DET
cet-1012	73	7	difference	difference	NOUN
cet-1012	73	8	between	between	ADP
cet-1012	73	9	the	the	DET
cet-1012	73	10	predicted	predict	VERB
cet-1012	73	11	value	value	NOUN
cet-1012	73	12	and	and	CCONJ
cet-1012	73	13	the	the	DET
cet-1012	73	14	reference	reference	NOUN
cet-1012	73	15	value	value	NOUN
cet-1012	73	16	was	be	AUX
cet-1012	73	17	used	use	VERB
cet-1012	73	18	to	to	PART
cet-1012	73	19	determine	determine	VERB
cet-1012	73	20	the	the	DET
cet-1012	73	21	model	model	NOUN
cet-1012	73	22	accuracy	accuracy	NOUN
cet-1012	73	23	.	.	PUNCT
cet-1012	74	1	as	as	SCONJ
cet-1012	74	2	was	be	AUX
cet-1012	74	3	shown	show	VERB
cet-1012	74	4	in	in	ADP
cet-1012	74	5	figure	figure	NOUN
cet-1012	74	6	4	4	NUM
cet-1012	74	7	:	:	PUNCT
cet-1012	74	8	it	it	PRON
cet-1012	74	9	could	could	AUX
cet-1012	74	10	be	be	AUX
cet-1012	74	11	seen	see	VERB
cet-1012	74	12	that	that	SCONJ
cet-1012	74	13	after	after	ADP
cet-1012	74	14	the	the	DET
cet-1012	74	15	normalized	normalize	VERB
cet-1012	74	16	pretreatment	pretreatment	NOUN
cet-1012	74	17	method	method	NOUN
cet-1012	74	18	,	,	PUNCT
cet-1012	74	19	the	the	DET
cet-1012	74	20	predicted	predict	VERB
cet-1012	74	21	values	value	NOUN
cet-1012	74	22	of	of	ADP
cet-1012	74	23	beef	beef	NOUN
cet-1012	74	24	,	,	PUNCT
cet-1012	74	25	chicken	chicken	NOUN
cet-1012	74	26	and	and	CCONJ
cet-1012	74	27	mutton	mutton	NOUN
cet-1012	74	28	located	locate	VERB
cet-1012	74	29	at	at	ADP
cet-1012	74	30	true	true	ADJ
cet-1012	74	31	value	value	NOUN
cet-1012	74	32	-1	-1	NOUN
cet-1012	74	33	,	,	PUNCT
cet-1012	74	34	0	0	NUM
cet-1012	74	35	,	,	PUNCT
cet-1012	74	36	1	1	NUM
cet-1012	74	37	.	.	X
cet-1012	75	1	rmsec	rmsec	PROPN
cet-1012	75	2	and	and	CCONJ
cet-1012	75	3	rmsecv	rmsecv	ADJ
cet-1012	75	4	were	be	AUX
cet-1012	75	5	0.06	0.06	NUM
cet-1012	75	6	and	and	CCONJ
cet-1012	75	7	0.08	0.08	NUM
cet-1012	75	8	,	,	PUNCT
cet-1012	75	9	respectively	respectively	ADV
cet-1012	75	10	.	.	PUNCT
cet-1012	76	1	the	the	DET
cet-1012	76	2	decision	decision	NOUN
cet-1012	76	3	coefficient	coefficient	NOUN
cet-1012	76	4	was	be	AUX
cet-1012	76	5	0.99	0.99	NUM
cet-1012	76	6	.	.	PUNCT
cet-1012	77	1	the	the	DET
cet-1012	77	2	model	model	NOUN
cet-1012	77	3	performance	performance	NOUN
cet-1012	77	4	was	be	AUX
cet-1012	77	5	excellent	excellent	ADJ
cet-1012	77	6	.	.	PUNCT
cet-1012	78	1	use	use	VERB
cet-1012	78	2	it	it	PRON
cet-1012	78	3	to	to	PART
cet-1012	78	4	predict	predict	VERB
cet-1012	78	5	the	the	DET
cet-1012	78	6	20	20	NUM
cet-1012	78	7	samples	sample	NOUN
cet-1012	78	8	,	,	PUNCT
cet-1012	78	9	as	as	SCONJ
cet-1012	78	10	was	be	AUX
cet-1012	78	11	shown	show	VERB
cet-1012	78	12	in	in	ADP
cet-1012	78	13	figure	figure	NOUN
cet-1012	78	14	5	5	NUM
cet-1012	78	15	:	:	PUNCT
cet-1012	78	16	in	in	ADP
cet-1012	78	17	the	the	DET
cet-1012	78	18	paper	paper	NOUN
cet-1012	78	19	,	,	PUNCT
cet-1012	78	20	a	a	DET
cet-1012	78	21	reference	reference	NOUN
cet-1012	78	22	rang	ring	VERB
cet-1012	78	23	,	,	PUNCT
cet-1012	78	24	±0.5	±0.5	PROPN
cet-1012	78	25	,	,	PUNCT
cet-1012	78	26	was	be	AUX
cet-1012	78	27	taken	take	VERB
cet-1012	78	28	to	to	PART
cet-1012	78	29	determine	determine	VERB
cet-1012	78	30	the	the	DET
cet-1012	78	31	accuracy	accuracy	NOUN
cet-1012	78	32	of	of	ADP
cet-1012	78	33	the	the	DET
cet-1012	78	34	model	model	NOUN
cet-1012	78	35	prediction	prediction	NOUN
cet-1012	78	36	.	.	PUNCT
cet-1012	79	1	it	it	PRON
cet-1012	79	2	was	be	AUX
cet-1012	79	3	observed	observe	VERB
cet-1012	79	4	that	that	SCONJ
cet-1012	79	5	the	the	DET
cet-1012	79	6	predictive	predictive	ADJ
cet-1012	79	7	value	value	NOUN
cet-1012	79	8	of	of	ADP
cet-1012	79	9	beef	beef	NOUN
cet-1012	79	10	was	be	AUX
cet-1012	79	11	between	between	ADP
cet-1012	79	12	-1.09	-1.09	NOUN
cet-1012	79	13	and	and	CCONJ
cet-1012	79	14	-0.92	-0.92	NOUN
cet-1012	79	15	,	,	PUNCT
cet-1012	79	16	the	the	DET
cet-1012	79	17	chicken	chicken	NOUN
cet-1012	79	18	was	be	AUX
cet-1012	79	19	between	between	ADP
cet-1012	79	20	-0.05	-0.05	NUM
cet-1012	79	21	and	and	CCONJ
cet-1012	79	22	0.18	0.18	NUM
cet-1012	79	23	,	,	PUNCT
cet-1012	79	24	and	and	CCONJ
cet-1012	79	25	the	the	DET
cet-1012	79	26	mutton	mutton	NOUN
cet-1012	79	27	was	be	AUX
cet-1012	79	28	between	between	ADP
cet-1012	79	29	0.70	0.70	NUM
cet-1012	79	30	and	and	CCONJ
cet-1012	79	31	1.08	1.08	NUM
cet-1012	79	32	.	.	PUNCT
cet-1012	80	1	three	three	NUM
cet-1012	80	2	kinds	kind	NOUN
cet-1012	80	3	of	of	ADP
cet-1012	80	4	meat	meat	NOUN
cet-1012	80	5	predictions	prediction	NOUN
cet-1012	80	6	were	be	AUX
cet-1012	80	7	in	in	ADP
cet-1012	80	8	the	the	DET
cet-1012	80	9	1282	1282	NUM
cet-1012	80	10	corresponding	corresponding	ADJ
cet-1012	80	11	reference	reference	NOUN
cet-1012	80	12	range	range	NOUN
cet-1012	80	13	,	,	PUNCT
cet-1012	80	14	and	and	CCONJ
cet-1012	80	15	the	the	DET
cet-1012	80	16	prediction	prediction	NOUN
cet-1012	80	17	accuracy	accuracy	NOUN
cet-1012	80	18	was	be	AUX
cet-1012	80	19	100	100	NUM
cet-1012	80	20	%	%	NOUN
cet-1012	80	21	.	.	PUNCT
cet-1012	81	1	at	at	ADP
cet-1012	81	2	the	the	DET
cet-1012	81	3	same	same	ADJ
cet-1012	81	4	time	time	NOUN
cet-1012	81	5	,	,	PUNCT
cet-1012	81	6	three	three	NUM
cet-1012	81	7	kinds	kind	NOUN
cet-1012	81	8	of	of	ADP
cet-1012	81	9	meat	meat	NOUN
cet-1012	81	10	identification	identification	NOUN
cet-1012	81	11	models	model	NOUN
cet-1012	81	12	were	be	AUX
cet-1012	81	13	established	establish	VERB
cet-1012	81	14	by	by	ADP
cet-1012	81	15	bp	bp	PROPN
cet-1012	81	16	neural	neural	ADJ
cet-1012	81	17	network	network	PROPN
cet-1012	81	18	modeling	modeling	NOUN
cet-1012	81	19	method	method	NOUN
cet-1012	81	20	.	.	PUNCT
cet-1012	82	1	compare	compare	VERB
cet-1012	82	2	the	the	DET
cet-1012	82	3	performance	performance	NOUN
cet-1012	82	4	of	of	ADP
cet-1012	82	5	the	the	DET
cet-1012	82	6	pls	pls	PROPN
cet-1012	82	7	-	-	PUNCT
cet-1012	82	8	da	da	ADJ
cet-1012	82	9	model	model	NOUN
cet-1012	82	10	with	with	ADP
cet-1012	82	11	the	the	DET
cet-1012	82	12	bp	bp	PROPN
cet-1012	82	13	neural	neural	ADJ
cet-1012	82	14	network	network	NOUN
cet-1012	82	15	.	.	PUNCT
cet-1012	83	1	as	as	SCONJ
cet-1012	83	2	was	be	AUX
cet-1012	83	3	shown	show	VERB
cet-1012	83	4	in	in	ADP
cet-1012	83	5	table	table	NOUN
cet-1012	83	6	3	3	NUM
cet-1012	83	7	:	:	PUNCT
cet-1012	83	8	figure	figure	VERB
cet-1012	83	9	4	4	NUM
cet-1012	83	10	:	:	PUNCT
cet-1012	83	11	the	the	DET
cet-1012	83	12	distribution	distribution	NOUN
cet-1012	83	13	of	of	ADP
cet-1012	83	14	pls	pls	PROPN
cet-1012	83	15	-	-	PUNCT
cet-1012	83	16	da	da	PROPN
cet-1012	83	17	model	model	NOUN
cet-1012	83	18	correction	correction	NOUN
cet-1012	83	19	set	set	VERB
cet-1012	83	20	predictive	predictive	ADJ
cet-1012	83	21	value	value	NOUN
cet-1012	83	22	and	and	CCONJ
cet-1012	83	23	true	true	ADJ
cet-1012	83	24	value	value	NOUN
cet-1012	83	25	figure	figure	NOUN
cet-1012	83	26	5	5	NUM
cet-1012	83	27	:	:	PUNCT
cet-1012	83	28	the	the	DET
cet-1012	83	29	distribution	distribution	NOUN
cet-1012	83	30	of	of	ADP
cet-1012	83	31	pls	pls	PROPN
cet-1012	83	32	-	-	PUNCT
cet-1012	83	33	da	da	NOUN
cet-1012	83	34	model	model	NOUN
cet-1012	83	35	detection	detection	NOUN
cet-1012	83	36	set	set	VERB
cet-1012	83	37	predictive	predictive	ADJ
cet-1012	83	38	value	value	NOUN
cet-1012	83	39	and	and	CCONJ
cet-1012	83	40	true	true	ADJ
cet-1012	83	41	value	value	NOUN
cet-1012	83	42	table	table	NOUN
cet-1012	83	43	3	3	NUM
cet-1012	83	44	:	:	PUNCT
cet-1012	83	45	the	the	DET
cet-1012	83	46	comparison	comparison	NOUN
cet-1012	83	47	between	between	ADP
cet-1012	83	48	pls	pls	PROPN
cet-1012	83	49	-	-	PUNCT
cet-1012	83	50	da	da	PROPN
cet-1012	83	51	and	and	CCONJ
cet-1012	83	52	bp	bp	PROPN
cet-1012	83	53	neural	neural	ADJ
cet-1012	83	54	network	network	NOUN
cet-1012	83	55	model	model	NOUN
cet-1012	83	56	performance	performance	NOUN
cet-1012	83	57	the	the	DET
cet-1012	83	58	modeling	modeling	NOUN
cet-1012	83	59	method	method	NOUN
cet-1012	83	60	r2	r2	PROPN
cet-1012	83	61	cal	cal	X
cet-1012	83	62	rmsec	rmsec	PROPN
cet-1012	83	63	r2	r2	PROPN
cet-1012	83	64	val	val	PROPN
cet-1012	84	1	rmsecv	rmsecv	PROPN
cet-1012	84	2	rmsep	rmsep	PROPN
cet-1012	84	3	prediction	prediction	NOUN
cet-1012	84	4	accuracy	accuracy	NOUN
cet-1012	84	5	of	of	ADP
cet-1012	84	6	detection	detection	NOUN
cet-1012	84	7	set	set	VERB
cet-1012	84	8	/%	/%	PUNCT
cet-1012	85	1	pls	pls	INTJ
cet-1012	85	2	-	-	PUNCT
cet-1012	85	3	da	da	NOUN
cet-1012	85	4	0.99	0.99	NUM
cet-1012	85	5	0.06	0.06	NUM
cet-1012	85	6	0.99	0.99	NUM
cet-1012	85	7	0.08	0.08	NUM
cet-1012	85	8	0.08	0.08	NUM
cet-1012	85	9	100	100	NUM
cet-1012	85	10	bp	bp	PROPN
cet-1012	85	11	neural	neural	ADJ
cet-1012	85	12	network	network	NOUN
cet-1012	85	13	0.96	0.96	NUM
cet-1012	85	14	0.17	0.17	NUM
cet-1012	85	15	0.95	0.95	NUM
cet-1012	85	16	0.19	0.19	NUM
cet-1012	85	17	0.26	0.26	NUM
cet-1012	85	18	99	99	NUM
cet-1012	85	19	the	the	DET
cet-1012	85	20	accuracy	accuracy	NOUN
cet-1012	85	21	rate	rate	NOUN
cet-1012	85	22	of	of	ADP
cet-1012	85	23	detection	detection	NOUN
cet-1012	85	24	set	set	VERB
cet-1012	85	25	prediction	prediction	NOUN
cet-1012	85	26	of	of	ADP
cet-1012	85	27	pls	pls	PROPN
cet-1012	85	28	-	-	PUNCT
cet-1012	85	29	da	da	NOUN
cet-1012	85	30	method	method	NOUN
cet-1012	85	31	had	have	AUX
cet-1012	85	32	reached	reach	VERB
cet-1012	85	33	100	100	NUM
cet-1012	85	34	%	%	NOUN
cet-1012	85	35	,	,	PUNCT
cet-1012	85	36	and	and	CCONJ
cet-1012	85	37	bp	bp	PROPN
cet-1012	85	38	neural	neural	PROPN
cet-1012	85	39	network	network	NOUN
cet-1012	85	40	had	have	AUX
cet-1012	85	41	reached	reach	VERB
cet-1012	85	42	99	99	NUM
cet-1012	85	43	%	%	NOUN
cet-1012	85	44	.	.	PUNCT
cet-1012	86	1	the	the	DET
cet-1012	86	2	predicted	predict	VERB
cet-1012	86	3	root	root	NOUN
cet-1012	86	4	mean	mean	VERB
cet-1012	86	5	square	square	ADJ
cet-1012	86	6	error	error	NOUN
cet-1012	86	7	of	of	ADP
cet-1012	86	8	them	they	PRON
cet-1012	86	9	was	be	AUX
cet-1012	86	10	above	above	ADP
cet-1012	86	11	0.26	0.26	NUM
cet-1012	86	12	.	.	PUNCT
cet-1012	87	1	they	they	PRON
cet-1012	87	2	had	have	VERB
cet-1012	87	3	good	good	ADJ
cet-1012	87	4	performance	performance	NOUN
cet-1012	87	5	.	.	PUNCT
cet-1012	88	1	while	while	SCONJ
cet-1012	88	2	comparing	compare	VERB
cet-1012	88	3	the	the	DET
cet-1012	88	4	advantages	advantage	NOUN
cet-1012	88	5	and	and	CCONJ
cet-1012	88	6	disadvantages	disadvantage	NOUN
cet-1012	88	7	of	of	ADP
cet-1012	88	8	the	the	DET
cet-1012	88	9	two	two	NUM
cet-1012	88	10	methods	method	NOUN
cet-1012	88	11	,	,	PUNCT
cet-1012	88	12	decision	decision	NOUN
cet-1012	88	13	coefficient	coefficient	NOUN
cet-1012	88	14	of	of	ADP
cet-1012	88	15	the	the	DET
cet-1012	88	16	calibration	calibration	NOUN
cet-1012	88	17	set	set	VERB
cet-1012	88	18	and	and	CCONJ
cet-1012	88	19	the	the	DET
cet-1012	88	20	detection	detection	NOUN
cet-1012	88	21	set	set	VERB
cet-1012	88	22	of	of	ADP
cet-1012	88	23	pls	pls	PROPN
cet-1012	88	24	-	-	PUNCT
cet-1012	88	25	da	da	NOUN
cet-1012	88	26	method	method	NOUN
cet-1012	88	27	of	of	ADP
cet-1012	88	28	had	have	AUX
cet-1012	88	29	reached	reach	VERB
cet-1012	88	30	0.99	0.99	NUM
cet-1012	88	31	,	,	PUNCT
cet-1012	88	32	higher	high	ADJ
cet-1012	88	33	than	than	ADP
cet-1012	88	34	bp	bp	PROPN
cet-1012	88	35	neural	neural	ADJ
cet-1012	88	36	network	network	NOUN
cet-1012	88	37	.	.	PUNCT
cet-1012	89	1	the	the	DET
cet-1012	89	2	mean	mean	ADJ
cet-1012	89	3	square	square	ADJ
cet-1012	89	4	error	error	NOUN
cet-1012	89	5	of	of	ADP
cet-1012	89	6	the	the	DET
cet-1012	89	7	correction	correction	NOUN
cet-1012	89	8	set	set	VERB
cet-1012	89	9	of	of	ADP
cet-1012	89	10	the	the	DET
cet-1012	89	11	pls	pls	PROPN
cet-1012	89	12	-	-	PUNCT
cet-1012	89	13	da	da	NOUN
cet-1012	89	14	method	method	NOUN
cet-1012	89	15	,	,	PUNCT
cet-1012	89	16	the	the	DET
cet-1012	89	17	mean	mean	ADJ
cet-1012	89	18	square	square	ADJ
cet-1012	89	19	error	error	NOUN
cet-1012	89	20	of	of	ADP
cet-1012	89	21	the	the	DET
cet-1012	89	22	prediction	prediction	NOUN
cet-1012	89	23	set	set	NOUN
cet-1012	89	24	,	,	PUNCT
cet-1012	89	25	and	and	CCONJ
cet-1012	89	26	the	the	DET
cet-1012	89	27	cross	cross	NOUN
cet-1012	89	28	validation	validation	NOUN
cet-1012	89	29	root	root	NOUN
cet-1012	89	30	mean	mean	VERB
cet-1012	89	31	square	square	ADJ
cet-1012	89	32	error	error	NOUN
cet-1012	89	33	were	be	AUX
cet-1012	89	34	both	both	PRON
cet-1012	89	35	below	below	ADP
cet-1012	89	36	0.08	0.08	NUM
cet-1012	89	37	,	,	PUNCT
cet-1012	89	38	lower	low	ADJ
cet-1012	89	39	than	than	ADP
cet-1012	89	40	bp	bp	PROPN
cet-1012	89	41	neural	neural	ADJ
cet-1012	89	42	network	network	NOUN
cet-1012	89	43	.	.	PUNCT
cet-1012	90	1	therefore	therefore	ADV
cet-1012	90	2	,	,	PUNCT
cet-1012	90	3	pls	pls	INTJ
cet-1012	90	4	-	-	PUNCT
cet-1012	90	5	da	da	PROPN
cet-1012	90	6	method	method	NOUN
cet-1012	90	7	was	be	AUX
cet-1012	90	8	the	the	DET
cet-1012	90	9	best	good	ADJ
cet-1012	90	10	model	model	NOUN
cet-1012	90	11	,	,	PUNCT
cet-1012	90	12	to	to	PART
cet-1012	90	13	detect	detect	VERB
cet-1012	90	14	chicken	chicken	NOUN
cet-1012	90	15	,	,	PUNCT
cet-1012	90	16	beef	beef	NOUN
cet-1012	90	17	and	and	CCONJ
cet-1012	90	18	mutton	mutton	NOUN
cet-1012	90	19	.	.	PUNCT
cet-1012	91	1	4	4	X
cet-1012	91	2	.	.	X
cet-1012	91	3	discussion	discussion	NOUN
cet-1012	91	4	comparing	compare	VERB
cet-1012	91	5	pls	pls	PROPN
cet-1012	91	6	-	-	PUNCT
cet-1012	91	7	da	da	PROPN
cet-1012	91	8	and	and	CCONJ
cet-1012	91	9	bp	bp	PROPN
cet-1012	91	10	neural	neural	ADJ
cet-1012	91	11	networks	network	NOUN
cet-1012	91	12	,	,	PUNCT
cet-1012	91	13	the	the	DET
cet-1012	91	14	rmsec	rmsec	NOUN
cet-1012	91	15	and	and	CCONJ
cet-1012	91	16	rmsep	rmsep	NOUN
cet-1012	91	17	of	of	ADP
cet-1012	91	18	bp	bp	PROPN
cet-1012	91	19	neural	neural	PROPN
cet-1012	91	20	network	network	NOUN
cet-1012	91	21	had	have	AUX
cet-1012	91	22	reached	reach	VERB
cet-1012	91	23	0.17	0.17	NUM
cet-1012	91	24	and	and	CCONJ
cet-1012	91	25	0.26	0.26	NUM
cet-1012	91	26	,	,	PUNCT
cet-1012	91	27	far	far	ADV
cet-1012	91	28	higher	high	ADJ
cet-1012	91	29	than	than	ADP
cet-1012	91	30	plsr	plsr	PROPN
cet-1012	91	31	0.06	0.06	NUM
cet-1012	91	32	and	and	CCONJ
cet-1012	91	33	0.08	0.08	NUM
cet-1012	91	34	.	.	PUNCT
cet-1012	92	1	bp	bp	PROPN
cet-1012	92	2	neural	neural	PROPN
cet-1012	92	3	network	network	PROPN
cet-1012	92	4	had	have	VERB
cet-1012	92	5	a	a	DET
cet-1012	92	6	certain	certain	ADJ
cet-1012	92	7	over	over	ADP
cet-1012	92	8	-	-	PUNCT
cet-1012	92	9	fitting	fit	VERB
cet-1012	92	10	phenomenon	phenomenon	NOUN
cet-1012	92	11	.	.	PUNCT
cet-1012	93	1	the	the	DET
cet-1012	93	2	bp	bp	PROPN
cet-1012	93	3	neural	neural	PROPN
cet-1012	93	4	network	network	PROPN
cet-1012	93	5	used	use	VERB
cet-1012	93	6	neuron	neuron	NOUN
cet-1012	93	7	weight	weight	NOUN
cet-1012	93	8	iterative	iterative	NOUN
cet-1012	93	9	algorithm	algorithm	NOUN
cet-1012	93	10	,	,	PUNCT
cet-1012	93	11	filtered	filter	VERB
cet-1012	93	12	out	out	ADP
cet-1012	93	13	the	the	DET
cet-1012	93	14	noise	noise	NOUN
cet-1012	93	15	effects	effect	NOUN
cet-1012	93	16	,	,	PUNCT
cet-1012	93	17	and	and	CCONJ
cet-1012	93	18	built	build	VERB
cet-1012	93	19	a	a	DET
cet-1012	93	20	better	well	ADJ
cet-1012	93	21	nonlinear	nonlinear	ADJ
cet-1012	93	22	response	response	NOUN
cet-1012	93	23	.	.	PUNCT
cet-1012	94	1	but	but	CCONJ
cet-1012	94	2	the	the	DET
cet-1012	94	3	training	training	NOUN
cet-1012	94	4	model	model	NOUN
cet-1012	94	5	of	of	ADP
cet-1012	94	6	bp	bp	PROPN
cet-1012	94	7	neural	neural	PROPN
cet-1012	94	8	network	network	NOUN
cet-1012	94	9	used	use	VERB
cet-1012	94	10	the	the	DET
cet-1012	94	11	back	back	ADJ
cet-1012	94	12	propagation	propagation	NOUN
cet-1012	94	13	mechanism	mechanism	NOUN
cet-1012	94	14	,	,	PUNCT
cet-1012	94	15	so	so	CCONJ
cet-1012	94	16	its	its	PRON
cet-1012	94	17	initial	initial	ADJ
cet-1012	94	18	value	value	NOUN
cet-1012	94	19	was	be	AUX
cet-1012	94	20	set	set	VERB
cet-1012	94	21	by	by	ADP
cet-1012	94	22	random	random	ADJ
cet-1012	94	23	setting	setting	NOUN
cet-1012	94	24	,	,	PUNCT
cet-1012	94	25	which	which	PRON
cet-1012	94	26	was	be	AUX
cet-1012	94	27	easy	easy	ADJ
cet-1012	94	28	to	to	PART
cet-1012	94	29	fall	fall	VERB
cet-1012	94	30	into	into	ADP
cet-1012	94	31	the	the	DET
cet-1012	94	32	problem	problem	NOUN
cet-1012	94	33	of	of	ADP
cet-1012	94	34	local	local	ADJ
cet-1012	94	35	optimal	optimal	ADJ
cet-1012	94	36	and	and	CCONJ
cet-1012	94	37	gradient	gradient	ADJ
cet-1012	94	38	diffusion	diffusion	NOUN
cet-1012	94	39	.	.	PUNCT
cet-1012	95	1	so	so	ADV
cet-1012	95	2	it	it	PRON
cet-1012	95	3	needs	need	VERB
cet-1012	95	4	artificial	artificial	ADJ
cet-1012	95	5	adjustment	adjustment	NOUN
cet-1012	95	6	parameters	parameter	NOUN
cet-1012	95	7	.	.	PUNCT
cet-1012	96	1	so	so	ADV
cet-1012	96	2	in	in	ADP
cet-1012	96	3	future	future	NOUN
cet-1012	96	4	,	,	PUNCT
cet-1012	96	5	solve	solve	VERB
cet-1012	96	6	the	the	DET
cet-1012	96	7	local	local	ADJ
cet-1012	96	8	optimal	optimal	ADJ
cet-1012	96	9	problem	problem	NOUN
cet-1012	96	10	of	of	ADP
cet-1012	96	11	bp	bp	PROPN
cet-1012	96	12	neural	neural	ADJ
cet-1012	96	13	network	network	NOUN
cet-1012	96	14	by	by	ADP
cet-1012	96	15	introducing	introduce	VERB
cet-1012	96	16	the	the	DET
cet-1012	96	17	depth	depth	NOUN
cet-1012	96	18	learning	learn	VERB
cet-1012	96	19	algorithm	algorithm	NOUN
cet-1012	96	20	and	and	CCONJ
cet-1012	96	21	training	train	VERB
cet-1012	96	22	the	the	DET
cet-1012	96	23	optimal	optimal	ADJ
cet-1012	96	24	eigenvalue	eigenvalue	NOUN
cet-1012	96	25	.	.	PUNCT
cet-1012	96	26	1283	1283	NUM
cet-1012	96	27	5	5	NUM
cet-1012	96	28	.	.	PUNCT
cet-1012	96	29	conclusion	conclusion	NOUN
cet-1012	96	30	in	in	ADP
cet-1012	96	31	the	the	DET
cet-1012	96	32	paper	paper	NOUN
cet-1012	96	33	,	,	PUNCT
cet-1012	96	34	use	use	VERB
cet-1012	96	35	infrared	infrared	ADJ
cet-1012	96	36	spectroscopy	spectroscopy	NOUN
cet-1012	96	37	technology	technology	NOUN
cet-1012	96	38	to	to	PART
cet-1012	96	39	identify	identify	VERB
cet-1012	96	40	adulterated	adulterate	VERB
cet-1012	96	41	meat	meat	NOUN
cet-1012	96	42	of	of	ADP
cet-1012	96	43	chicken	chicken	NOUN
cet-1012	96	44	,	,	PUNCT
cet-1012	96	45	beef	beef	NOUN
cet-1012	96	46	and	and	CCONJ
cet-1012	96	47	mutton	mutton	NOUN
cet-1012	96	48	on	on	ADP
cet-1012	96	49	the	the	DET
cet-1012	96	50	market	market	NOUN
cet-1012	96	51	,	,	PUNCT
cet-1012	96	52	apply	apply	VERB
cet-1012	96	53	the	the	DET
cet-1012	96	54	markov	markov	NOUN
cet-1012	96	55	distance	distance	NOUN
cet-1012	96	56	to	to	PART
cet-1012	96	57	eliminate	eliminate	VERB
cet-1012	96	58	singular	singular	ADJ
cet-1012	96	59	point	point	NOUN
cet-1012	96	60	,	,	PUNCT
cet-1012	96	61	and	and	CCONJ
cet-1012	96	62	eliminate	eliminate	VERB
cet-1012	96	63	the	the	DET
cet-1012	96	64	thickness	thickness	NOUN
cet-1012	96	65	of	of	ADP
cet-1012	96	66	the	the	DET
cet-1012	96	67	test	test	NOUN
cet-1012	96	68	sample	sample	NOUN
cet-1012	96	69	by	by	ADP
cet-1012	96	70	the	the	DET
cet-1012	96	71	normalized	normalize	VERB
cet-1012	96	72	pretreatment	pretreatment	NOUN
cet-1012	96	73	method	method	NOUN
cet-1012	96	74	.	.	PUNCT
cet-1012	97	1	in	in	ADP
cet-1012	97	2	the	the	DET
cet-1012	97	3	paper	paper	NOUN
cet-1012	97	4	,	,	PUNCT
cet-1012	97	5	three	three	NUM
cet-1012	97	6	kinds	kind	NOUN
cet-1012	97	7	of	of	ADP
cet-1012	97	8	meat	meat	NOUN
cet-1012	97	9	detection	detection	NOUN
cet-1012	97	10	models	model	NOUN
cet-1012	97	11	were	be	AUX
cet-1012	97	12	established	establish	VERB
cet-1012	97	13	by	by	ADP
cet-1012	97	14	pls	pls	NOUN
cet-1012	97	15	-	-	PUNCT
cet-1012	97	16	da	da	PROPN
cet-1012	97	17	and	and	CCONJ
cet-1012	97	18	bp	bp	PROPN
cet-1012	97	19	neural	neural	ADJ
cet-1012	97	20	network	network	NOUN
cet-1012	97	21	modeling	modeling	NOUN
cet-1012	97	22	methods	method	NOUN
cet-1012	97	23	.	.	PUNCT
cet-1012	98	1	by	by	ADP
cet-1012	98	2	comparing	compare	VERB
cet-1012	98	3	,	,	PUNCT
cet-1012	98	4	the	the	DET
cet-1012	98	5	r2cal	r2cal	ADJ
cet-1012	98	6	and	and	CCONJ
cet-1012	98	7	r2val	r2val	NUM
cet-1012	98	8	of	of	ADP
cet-1012	98	9	the	the	DET
cet-1012	98	10	pls	pls	PROPN
cet-1012	98	11	-	-	PUNCT
cet-1012	98	12	da	da	NOUN
cet-1012	98	13	method	method	NOUN
cet-1012	98	14	were	be	AUX
cet-1012	98	15	0.99	0.99	NUM
cet-1012	98	16	,	,	PUNCT
cet-1012	98	17	rmsec	rmsec	PROPN
cet-1012	98	18	was	be	AUX
cet-1012	98	19	0.06	0.06	NUM
cet-1012	98	20	,	,	PUNCT
cet-1012	98	21	rmsecv	rmsecv	ADJ
cet-1012	98	22	and	and	CCONJ
cet-1012	98	23	rmsep	rmsep	NOUN
cet-1012	98	24	were	be	AUX
cet-1012	98	25	both	both	PRON
cet-1012	98	26	0.08	0.08	NUM
cet-1012	98	27	,	,	PUNCT
cet-1012	98	28	and	and	CCONJ
cet-1012	98	29	the	the	DET
cet-1012	98	30	prediction	prediction	NOUN
cet-1012	98	31	accuracy	accuracy	NOUN
cet-1012	98	32	was	be	AUX
cet-1012	98	33	100	100	NUM
cet-1012	98	34	%	%	NOUN
cet-1012	98	35	.	.	PUNCT
cet-1012	99	1	the	the	DET
cet-1012	99	2	model	model	NOUN
cet-1012	99	3	performance	performance	NOUN
cet-1012	99	4	is	be	AUX
cet-1012	99	5	better	well	ADJ
cet-1012	99	6	than	than	ADP
cet-1012	99	7	bp	bp	PROPN
cet-1012	99	8	neural	neural	ADJ
cet-1012	99	9	network	network	NOUN
cet-1012	99	10	.	.	PUNCT
cet-1012	100	1	therefore	therefore	ADV
cet-1012	100	2	,	,	PUNCT
cet-1012	100	3	based	base	VERB
cet-1012	100	4	on	on	ADP
cet-1012	100	5	pls	pls	PROPN
cet-1012	100	6	-	-	PUNCT
cet-1012	100	7	da	da	NOUN
cet-1012	100	8	method	method	NOUN
cet-1012	100	9	,	,	PUNCT
cet-1012	100	10	the	the	DET
cet-1012	100	11	infrared	infrared	ADJ
cet-1012	100	12	spectrum	spectrum	NOUN
cet-1012	100	13	detection	detection	NOUN
cet-1012	100	14	technology	technology	NOUN
cet-1012	100	15	can	can	AUX
cet-1012	100	16	accurately	accurately	ADV
cet-1012	100	17	identify	identify	VERB
cet-1012	100	18	different	different	ADJ
cet-1012	100	19	meat	meat	NOUN
cet-1012	100	20	,	,	PUNCT
cet-1012	100	21	and	and	CCONJ
cet-1012	100	22	it	it	PRON
cet-1012	100	23	has	have	VERB
cet-1012	100	24	certain	certain	ADJ
cet-1012	100	25	practical	practical	ADJ
cet-1012	100	26	value	value	NOUN
cet-1012	100	27	.	.	PUNCT
cet-1012	101	1	acknowledgments	acknowledgment	NOUN
cet-1012	101	2	this	this	DET
cet-1012	101	3	study	study	NOUN
cet-1012	101	4	was	be	AUX
cet-1012	101	5	jointly	jointly	ADV
cet-1012	101	6	supported	support	VERB
cet-1012	101	7	by	by	ADP
cet-1012	101	8	national	national	ADJ
cet-1012	101	9	natural	natural	ADJ
cet-1012	101	10	science	science	NOUN
cet-1012	101	11	fund	fund	NOUN
cet-1012	101	12	(	(	PUNCT
cet-1012	101	13	61501531	61501531	NUM
cet-1012	101	14	)	)	PUNCT
cet-1012	101	15	;	;	PUNCT
cet-1012	101	16	fund	fund	NOUN
cet-1012	101	17	for	for	ADP
cet-1012	101	18	science	science	NOUN
cet-1012	101	19	and	and	CCONJ
cet-1012	101	20	technology	technology	NOUN
cet-1012	101	21	from	from	ADP
cet-1012	101	22	guangdong	guangdong	PROPN
cet-1012	101	23	province	province	PROPN
cet-1012	101	24	(	(	PUNCT
cet-1012	101	25	2015a020209173	2015a020209173	PROPN
cet-1012	101	26	)	)	PUNCT
cet-1012	101	27	;	;	PUNCT
cet-1012	101	28	fund	fund	NOUN
cet-1012	101	29	from	from	ADP
cet-1012	101	30	guangzhou	guangzhou	PROPN
cet-1012	101	31	science	science	PROPN
cet-1012	101	32	and	and	CCONJ
cet-1012	101	33	technology	technology	PROPN
cet-1012	101	34	bureau	bureau	NOUN
cet-1012	101	35	(	(	PUNCT
cet-1012	101	36	201704020030	201704020030	NUM
cet-1012	101	37	)	)	PUNCT
cet-1012	101	38	and	and	CCONJ
cet-1012	101	39	“	"	PUNCT
cet-1012	101	40	innovation	innovation	NOUN
cet-1012	101	41	and	and	CCONJ
cet-1012	101	42	strong	strong	ADJ
cet-1012	101	43	universities	university	NOUN
cet-1012	101	44	”	"	PUNCT
cet-1012	101	45	special	special	ADJ
cet-1012	101	46	funds	fund	NOUN
cet-1012	101	47	(	(	PUNCT
cet-1012	101	48	ka170500	ka170500	NOUN
cet-1012	101	49	g	g	NOUN
cet-1012	101	50	)	)	PUNCT
cet-1012	101	51	from	from	ADP
cet-1012	101	52	the	the	DET
cet-1012	101	53	department	department	NOUN
cet-1012	101	54	of	of	ADP
cet-1012	101	55	education	education	NOUN
cet-1012	101	56	of	of	ADP
cet-1012	101	57	guangdong	guangdong	PROPN
cet-1012	101	58	province	province	PROPN
cet-1012	101	59	.	.	PUNCT
cet-1012	102	1	reference	reference	PROPN
cet-1012	102	2	huang	huang	PROPN
cet-1012	102	3	y.	y.	PROPN
cet-1012	102	4	,	,	PUNCT
cet-1012	102	5	andueza	andueza	PROPN
cet-1012	102	6	d.	d.	PROPN
cet-1012	102	7	,	,	PUNCT
cet-1012	102	8	de	de	PROPN
cet-1012	102	9	oliveira	oliveira	PROPN
cet-1012	102	10	l.	l.	PROPN
cet-1012	102	11	,	,	PUNCT
cet-1012	102	12	zawadzki	zawadzki	PROPN
cet-1012	102	13	f.	f.	PROPN
cet-1012	102	14	,	,	PUNCT
cet-1012	102	15	prache	prache	PROPN
cet-1012	102	16	s.	s.	PROPN
cet-1012	102	17	,	,	PUNCT
cet-1012	102	18	2015	2015	NUM
cet-1012	102	19	,	,	PUNCT
cet-1012	102	20	comparison	comparison	NOUN
cet-1012	102	21	of	of	ADP
cet-1012	102	22	visible	visible	ADJ
cet-1012	102	23	and	and	CCONJ
cet-1012	102	24	near	near	ADP
cet-1012	102	25	infrared	infrared	ADJ
cet-1012	102	26	reflectance	reflectance	NOUN
cet-1012	102	27	spectroscopy	spectroscopy	NOUN
cet-1012	102	28	on	on	ADP
cet-1012	102	29	fat	fat	NOUN
cet-1012	102	30	to	to	PART
cet-1012	102	31	authenticate	authenticate	VERB
cet-1012	102	32	dietary	dietary	ADJ
cet-1012	102	33	history	history	NOUN
cet-1012	102	34	of	of	ADP
cet-1012	102	35	lambs	lamb	NOUN
cet-1012	102	36	,	,	PUNCT
cet-1012	102	37	animal	animal	NOUN
cet-1012	102	38	,	,	PUNCT
cet-1012	102	39	9	9	NUM
cet-1012	102	40	,	,	PUNCT
cet-1012	102	41	1912	1912	NUM
cet-1012	102	42	-	-	SYM
cet-1012	102	43	1920	1920	NUM
cet-1012	102	44	,	,	PUNCT
cet-1012	102	45	doi	doi	NOUN
cet-1012	102	46	:	:	PUNCT
cet-1012	102	47	10.1017	10.1017	NUM
cet-1012	102	48	/	/	SYM
cet-1012	102	49	s1751731115001172	s1751731115001172	PROPN
cet-1012	102	50	kamruzzaman	kamruzzaman	PROPN
cet-1012	102	51	m.	m.	NOUN
cet-1012	102	52	,	,	PUNCT
cet-1012	102	53	makino	makino	PROPN
cet-1012	102	54	y.	y.	PROPN
cet-1012	102	55	,	,	PUNCT
cet-1012	102	56	oshita	oshita	PROPN
cet-1012	102	57	s.	s.	PROPN
cet-1012	102	58	,	,	PUNCT
cet-1012	102	59	liu	liu	PROPN
cet-1012	102	60	s.	s.	PROPN
cet-1012	102	61	,	,	PUNCT
cet-1012	102	62	2015	2015	NUM
cet-1012	102	63	,	,	PUNCT
cet-1012	102	64	assessment	assessment	NOUN
cet-1012	102	65	of	of	ADP
cet-1012	102	66	visible	visible	ADJ
cet-1012	102	67	near	near	ADV
cet-1012	102	68	-	-	PUNCT
cet-1012	102	69	infrared	infrared	ADJ
cet-1012	102	70	hyperspectral	hyperspectral	ADJ
cet-1012	102	71	imaging	imaging	NOUN
cet-1012	102	72	as	as	ADP
cet-1012	102	73	a	a	DET
cet-1012	102	74	tool	tool	NOUN
cet-1012	102	75	for	for	ADP
cet-1012	102	76	detection	detection	NOUN
cet-1012	102	77	of	of	ADP
cet-1012	102	78	horsemeat	horsemeat	NOUN
cet-1012	102	79	adulteration	adulteration	NOUN
cet-1012	102	80	in	in	ADP
cet-1012	102	81	minced	mince	VERB
cet-1012	102	82	beef.food	beef.food	NOUN
cet-1012	102	83	and	and	CCONJ
cet-1012	102	84	bioprocess	bioprocess	NOUN
cet-1012	102	85	technology	technology	NOUN
cet-1012	102	86	,	,	PUNCT
cet-1012	102	87	8	8	NUM
cet-1012	102	88	,	,	PUNCT
cet-1012	102	89	1054	1054	NUM
cet-1012	102	90	-	-	SYM
cet-1012	102	91	1062	1062	NUM
cet-1012	102	92	,	,	PUNCT
cet-1012	102	93	doi	doi	NOUN
cet-1012	102	94	:	:	PUNCT
cet-1012	102	95	10.1007	10.1007	NUM
cet-1012	102	96	/	/	SYM
cet-1012	102	97	s11947	s11947	PROPN
cet-1012	102	98	-	-	PUNCT
cet-1012	102	99	015	015	NUM
cet-1012	102	100	-	-	PUNCT
cet-1012	102	101	1470	1470	NUM
cet-1012	102	102	-	-	SYM
cet-1012	102	103	7	7	NUM
cet-1012	102	104	li	li	PROPN
cet-1012	102	105	t.	t.	PROPN
cet-1012	102	106	,	,	PUNCT
cet-1012	102	107	yin	yin	PROPN
cet-1012	102	108	y.	y.	PROPN
cet-1012	102	109	,	,	PUNCT
cet-1012	102	110	wang	wang	PROPN
cet-1012	102	111	h.	h.	PROPN
cet-1012	102	112	,	,	PUNCT
cet-1012	102	113	2013	2013	NUM
cet-1012	102	114	,	,	PUNCT
cet-1012	102	115	quick	quick	ADJ
cet-1012	102	116	identification	identification	NOUN
cet-1012	102	117	of	of	ADP
cet-1012	102	118	five	five	NUM
cet-1012	102	119	species	specie	NOUN
cet-1012	102	120	of	of	ADP
cet-1012	102	121	meat	meat	NOUN
cet-1012	102	122	by	by	ADP
cet-1012	102	123	pcr	pcr	PROPN
cet-1012	102	124	assay	assay	NOUN
cet-1012	102	125	,	,	PUNCT
cet-1012	102	126	food	food	NOUN
cet-1012	102	127	science	science	NOUN
cet-1012	102	128	,	,	PUNCT
cet-1012	102	129	34	34	NUM
cet-1012	102	130	,	,	PUNCT
cet-1012	102	131	249	249	NUM
cet-1012	102	132	-	-	SYM
cet-1012	102	133	252	252	NUM
cet-1012	102	134	,	,	PUNCT
cet-1012	102	135	doi	doi	NOUN
cet-1012	102	136	:	:	PUNCT
cet-1012	102	137	10.7506	10.7506	NUM
cet-1012	102	138	/	/	SYM
cet-1012	102	139	spkx1002	spkx1002	NOUN
cet-1012	102	140	-	-	PUNCT
cet-1012	102	141	6630	6630	NUM
cet-1012	102	142	-	-	PUNCT
cet-1012	102	143	201308054	201308054	NUM
cet-1012	102	144	safar	safar	ADJ
cet-1012	102	145	m.	m.	NOUN
cet-1012	102	146	,	,	PUNCT
cet-1012	102	147	janejo	janejo	PROPN
cet-1012	102	148	y.	y.	PROPN
cet-1012	102	149	,	,	PUNCT
cet-1012	102	150	arman	arman	PROPN
cet-1012	102	151	k.	k.	PROPN
cet-1012	102	152	,	,	PUNCT
cet-1012	102	153	2014	2014	NUM
cet-1012	102	154	,	,	PUNCT
cet-1012	102	155	a	a	DET
cet-1012	102	156	highly	highly	ADV
cet-1012	102	157	sensitive	sensitive	ADJ
cet-1012	102	158	and	and	CCONJ
cet-1012	102	159	specific	specific	ADJ
cet-1012	102	160	tetraplex	tetraplex	ADJ
cet-1012	102	161	pcr	pcr	NOUN
cet-1012	102	162	assay	assay	NOUN
cet-1012	102	163	for	for	ADP
cet-1012	102	164	soybean	soybean	NOUN
cet-1012	102	165	,	,	PUNCT
cet-1012	102	166	poultry	poultry	NOUN
cet-1012	102	167	,	,	PUNCT
cet-1012	102	168	horse	horse	NOUN
cet-1012	102	169	and	and	CCONJ
cet-1012	102	170	pork	pork	NOUN
cet-1012	102	171	species	specie	NOUN
cet-1012	102	172	identification	identification	NOUN
cet-1012	102	173	in	in	ADP
cet-1012	102	174	sausages	sausage	NOUN
cet-1012	102	175	:	:	PUNCT
cet-1012	102	176	development	development	NOUN
cet-1012	102	177	and	and	CCONJ
cet-1012	102	178	validation	validation	NOUN
cet-1012	102	179	,	,	PUNCT
cet-1012	102	180	meat	meat	NOUN
cet-1012	102	181	science	science	NOUN
cet-1012	102	182	,	,	PUNCT
cet-1012	102	183	98	98	NUM
cet-1012	102	184	,	,	PUNCT
cet-1012	102	185	296300	296300	NUM
cet-1012	102	186	,	,	PUNCT
cet-1012	102	187	doi	doi	NOUN
cet-1012	102	188	:	:	PUNCT
cet-1012	102	189	10.1016	10.1016	NUM
cet-1012	102	190	/	/	SYM
cet-1012	102	191	j.meatsci.2014.06.006	j.meatsci.2014.06.006	PROPN
cet-1012	102	192	yang	yang	PROPN
cet-1012	102	193	l.	l.	PROPN
cet-1012	102	194	,	,	PUNCT
cet-1012	102	195	wu	wu	PROPN
cet-1012	102	196	t.	t.	PROPN
cet-1012	102	197	,	,	PUNCT
cet-1012	102	198	cai	cai	PROPN
cet-1012	102	199	x	x	PROPN
cet-1012	102	200	c.	c.	PROPN
cet-1012	102	201	,	,	PUNCT
cet-1012	102	202	2016	2016	NUM
cet-1012	102	203	,	,	PUNCT
cet-1012	102	204	application	application	NOUN
cet-1012	102	205	and	and	CCONJ
cet-1012	102	206	research	research	NOUN
cet-1012	102	207	progress	progress	NOUN
cet-1012	102	208	of	of	ADP
cet-1012	102	209	spectroscopy	spectroscopy	NOUN
cet-1012	102	210	in	in	ADP
cet-1012	102	211	meat	meat	NOUN
cet-1012	102	212	detection	detection	NOUN
cet-1012	102	213	,	,	PUNCT
cet-1012	102	214	journal	journal	NOUN
cet-1012	102	215	of	of	ADP
cet-1012	102	216	food	food	NOUN
cet-1012	102	217	safety	safety	NOUN
cet-1012	102	218	and	and	CCONJ
cet-1012	102	219	quality	quality	NOUN
cet-1012	102	220	,	,	PUNCT
cet-1012	102	221	guangdong	guangdong	PROPN
cet-1012	102	222	agricultural	agricultural	PROPN
cet-1012	102	223	sciences	sciences	PROPN
cet-1012	102	224	,	,	PUNCT
cet-1012	102	225	43	43	NUM
cet-1012	102	226	,	,	PUNCT
cet-1012	102	227	162	162	NUM
cet-1012	102	228	-	-	SYM
cet-1012	102	229	168	168	NUM
cet-1012	102	230	,	,	PUNCT
cet-1012	102	231	doi	doi	NOUN
cet-1012	102	232	:	:	PUNCT
cet-1012	102	233	10.16768	10.16768	NUM
cet-1012	102	234	/	/	SYM
cet-1012	102	235	j.issn.1004874x.2016.05.031	j.issn.1004874x.2016.05.031	NUM
cet-1012	102	236	1284	1284	NUM