CHEMICAL ENGINEERING TRANSACTIONS  
 

VOL. 57, 2017 

A publication of 

 
The Italian Association 

of Chemical Engineering 
Online at www.aidic.it/cet 

Guest Editors: Sauro Pierucci, Jiří Jaromír Klemeš, Laura Piazza, Serafim Bakalis 
Copyright © 2017, AIDIC Servizi S.r.l. 

ISBN 978-88-95608- 48-8; ISSN 2283-9216 

Fast Analysis of PAH in Complex Organic Carbon Mixtures by 
Reconstruction of UV-Visible Spectra 

Antonio Tregrossi*, Barbara Apicella, Anna Ciajolo, Carmela Russo 
Istituto di Ricerche sulla Combustione, C.N.R, Naples, Italy  
a.tregrossi@irc.cnr.it 

Polycyclic aromatic hydrocarbons (PAH) are components of complex organic mixtures featuring liquid and 
solid fossil fuels as well as tars derived from combustion and/or pyrolysis of coal and hydrocarbon fuels. PAH 
can also be detected at the exhaust of combustion systems, often associated to carbon particulate matter 
emissions. Due to their high toxicological potential the concentration levels of PAH detection should be very 
low (order of ppm) to meet the limits provided by the regulation on combustion emissions and atmosphere 
quality control. The PAH detection is mainly achieved by conventional, mainly chromatographic, analytical 
techniques applied to the fuel or to the organic carbon extracted from carbon particulate matter. Preliminary 
extraction, purification and pre-separation methods are the time-consuming methods necessary to isolate the 
PAH-rich mixtures from whichever organic matrix for further analysis with liquid or gas-chromatography. 
In this paper an alternative method based on the UV-Visible spectroscopic technique has been used for the 
qualification of PAH into the organic carbon associated to particulate matter sampled in fuel-rich sooting 
flames. In particular, a computing methodology able to solve nonlinearly constrained problems has been 
implemented on the UV-Visible absorption spectra of the organic material sampled in the soot-forming region 
of a laminar premixed rich ethylene-oxygen flame. The procedure allowed the good fitting of measured spectra 
with the spectra reconstructed by a suitable composition of PAH spectra. The methodology considers and 
evaluates the contribution of individual PAH which altogether better reproduces the fine structure overcoming 
the absorption background typically observed in the UV-Visible spectra of complex organic mixtures. 

1. Introduction 

Polycyclic Aromatic Hydrocarbons (PAH) constitute a class of organic species featuring liquid and solid fossil 
fuels, tars derived from combustion and/or pyrolysis of gas, aerosol produced and emitted from combustion 
sources. PAH from two- to seven-rings are the individual species recognized as environmental pollutants 
dangerous for human health (Freudenthal and Jones, 1976) which have customarily been identified by means 
of condensation and/or filtration of the combustion effluents followed by laborious analytical procedures. 
Generally, extraction, purification and pre-separation are the preliminary time-consuming methods necessary 
to isolate the PAH-rich mixtures from whichever organic matrix for further analysis with liquid- or gas-
chromatography. 
Alternatively, methods based on absorption and fluorescence spectroscopy are promising as fast methods for 
in-situ and real-time identification of PAH, due to the specific light absorption and fluorescence properties of 
PAH. The set up of such methods requires the knowledge of the PAH composition and spectroscopic 
behaviour for the interpretation of complex spectra that are the result of the overlapping of many spectra of 
individual PAH molecules. In the meanwhile, the study of the spectroscopic behaviour of PAH-loaded mixtures 
is also useful for getting information about the aromatic nature of that significant fraction of these matrices 
which usually remains unidentified because constituted of high molecular weight aromatic species not 
amenable to be analyzed by conventional chromatographic techniques (Ciajolo et al., 1996).To this regard, it 
is noteworthy that such high molecular weight (unidentified) material could have both a pollutant effect as high 
or even higher than that of PAH, and could be important in soot formation. In fact, in previous work, the trend 
of the concentration profiles of these species and of their UV-Visible (UV-Vis) absorptivity indicated a 
relationship with soot inception in premixed fuel-rich flames (Ciajolo et al., 1996). 

                               
 
 

 

 
   

                                                  
DOI: 10.3303/CET1757242

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Please cite this article as: Tregrossi A., Apicella B., Ciajolo A., Russo C., 2017, Fast analysis of pah in complex organic carbon mixtures by 
reconstruction of uv-visible spectra, Chemical Engineering Transactions, 57, 1447-1452  DOI: 10.3303/CET1757242 

1447



In this framework, the methodology presented in this work is useful for both the evaluation of single PAH as 
well as for the discrimination of the PAH contribution to the background absorption in the complex UV-Visible 
(UV-Vis) absorption spectra of PAH-loaded mixtures sampled in sooting flames 

2. Methods and Procedures 

2.1 Sample preparation 

In order to check the reliability of the method developed in this work a dichloromethane (DCM) solution with a 
mixture of a dozen of standard PAH was prepared by weighting the single species. The list of PAH constituting 
the mixture is reported in Table 1. 
The sample of flame formed PAH-loaded mixture was obtained by isokinetic sampling in the soot-forming 
region of an ethylene-oxygen atmospheric premixed laminar flame (C/O=0.8 and cold gas velocity, vo=4cm/s) 
and by selecting only the  DCM-soluble part of the sampled material (Ciajolo et al., 1996). 

2.2 Spectra reconstruction of PAH mixtures 

The measured UV- spectrum of PAH mixtures can be reconstructed by a linear combination of the single PAH 
spectra, measured one by one, weighted by the single PAH mass contribution in the mixture according to 
Eq(1): 

𝑚𝑖𝑥 =  ∑ 𝑖 () ∙ 𝑥𝑖
𝑤

𝑛𝑃𝐴𝐻

𝑖=1

 (1) 

where mix() is the mass specific absorptivity (l cm
-1 g-1) of the mixture at wavelength , i() is the mass 

specific absorptivity of the PAH i at wavelength , xi
w is the mass fraction of the PAH i and nPAH is the total 

number of PAH in the mixture. This reconstruction works quite well when carried out on a synthetic PAH 
standard mixture by adding the UV-Vis spectra of individual PAH scaled by their weight fraction.  

2.3 Spectra reconstruction of PAH-loaded flame formed mixtures 

The reconstruction procedure described in previous paragraph failed when applied to PAH-loaded mixtures 
collected in rich premixed ethylene flames and the reconstructed PAH spectrum resulted to contribute partially 
to the measured spectrum (Ciajolo et al., 1996). This was attributed to the absorption of an unidentified high 
molecular weight fraction whose presence was confirmed by the fact that the gaschromatographically-
measured PAH contribute only partially to the total weight of the mixture.  
The PAH fraction, separated  as a single class from the rest of the mixture by liquid chromatography, showed 
a very structured absorption spectrum with a main large peak located in the UV. and a relevant number of 
minor peaks located in the visible portion of the spectrum. On the contrary, the absorption spectrum of the 
unidentified rest presented a broader shape peaked in the UV. without the presence of a fine structure in the 
visible region (Ciajolo et al., 1998). 
On the basis of this information, the reconstruction of the UV-Vis spectrum of PAH-loaded mixtures, here 
reported, has been done assuming the additivity of the components absorptivities taking into account for the 
weight contribution of the analyzed PAH and considering the unidentified rest as a single component. 
Moreover, the absorption of this component has been described by a power law, according to the dispersion 
exponent equation (𝜀() = 𝑎 ∙ −𝑛, Millikan, 1961) and its weight contribution is the difference between the 
total weight and the weight of the identified PAH.  
Summing up, the total absorptivity can be considered as the sum of two contributions: the first one due to 
identified PAH absorption and the second one due to background absorption. 
On this basis the Eq(1) was modified to the Eq(2): 

𝑚𝑖𝑥 = 𝑦𝑝𝑎ℎ ∙ ∑ 𝑖 () ∙ 𝑥𝑖
𝑤 + (1 −

𝑛𝑃𝐴𝐻

𝑖=1

𝑦𝑝𝑎ℎ ) ∙ 𝑎 ∙ 
−𝑛 (2) 

where ypah is the total weight fraction of identified PAH, a and n are a constant and the dispersion exponent, 
respectively. 

3. Results and Discussion 

As regards the reconstruction of the spectrum of the PAH synthetic mixture, the output of the computing 
procedure, according to Eq(1), was the set of xi

w. Table 1 reports the mass fractions used for preparing the 12 
PAHs mixture components in comparison with the mass fractions as come out from the computing procedure. 

1448



Table 1:  Measured and computed mass fraction of PAH species in the standard mixture. 

PAH Species  xi
w, measured xi

w, computed abs, % 
Acenaphthylene 0.303 0.314 3.8 
Benzo(a)pyrene 0.012 0.013 7.3 
Benzo(e)pyrene 0.012 0.012 0.9 
Benzo(g,h,i)perylene 0.030 0.014 15.3 
Ciclopenta(d,e,f)phenantrene 0.061 0.027 12.4 
Ciclopenta(cd)pyrene 0.012 0.064 4.9 
Coronene 0.303 0.012 0.9 
Fluoranthene 0.061 0.063 3.5 
Indeno(1,2,3,-cd)pyrene 0.012 0.013 4.6 
Naphthalene 0.303 0.304 0.3 
Phenanthrene 0.061 0.055 9.2 
Pyrene 0.121 0.110 9.4 
 
Table 1 also reports the absolute percentage difference between the measured and computed values. The 
UV-Vis absorption spectrum of a two-, seven- ring PAH syntetic mixture (12 standard PAH) can be 
reconstructed by the computer methodology above described as shown in Fig.1 where the measured and the 
computed specific absorptivity coefficients are reported in the 250-400 nm wavelength range. 
The computed PAH spectrum fits very well the measured one (Fig.1) and the set of the mass fraction 
evaluated by the computing procedure shows a satisfactory agreement with the measured ones, allowing to 
assess the described procedure as a good semi-quantitative method for the measurement of the PAH content 
of a mixture. To compute the PAH contribution in PAH-loaded mixtures collected in rich premixed ethylene 
flames, the UV-Vis spectra of the twenty-six predominant PAH detected in these mixtures (Tregrossi et al., 
1999, Allouis et al., 2002) were measured on PAH standards, or recovered from open literature (Clar, 1964, 
Karcher et al., 1983, Karcher, 1988). All of these spectra were digitized and stored in a database. 
 

 

Figure 1: Measured and computed UV-Vis spectra of a synthetic mixture of PAH. 

1449



 

Figure 2: Measured and computed UV-Vis spectra of a PAH-loaded flame formed mixture. The computed 

spectra of the PAH fraction and of the unidentified high molecular weight fraction are also reported. 

Table 2:  Measured and computed mass fraction of PAH species in the PAH-loaded flame formed mixture. 

PAH Species  xi
w, measured xi

w, computed 
2-phenyl-naphthalene 0.000 0.000 
Acenaphthene 0.006 0.006 
Acenaphthylene 0.206 0.183 
Acephenantrylene 0.039 0.060 
Anthracene 0.012 0.016 
Benzo(a)anthracene 0.005 0.004 
Benzo(a)pyrene 0.020 0.019 
Benzo(b)fluoranthene 0.006 0.007 
Benzo(e)pyrene 0.011 0.003 
Benzo(g,h,i)Fluoranthene 0.042 0.087 
Benzo(g,h,i)perylene 0.031 0.013 
Benzo(k)fluoranthene 0.008 0.017 
Biphenyle 0.010 0.011 
Biphenylene 0.042 0.018 
Ciclopenta(d,e,f)phenantrene 0.028 0.048 
Ciclopenta(cd)pyrene 0.094 0.024 
Coronene 0.006 0.015 
Crisene 0.006 0.006 
Dibenz(a,h)anthracene 0.000 0.000 
Fluoranthene 0.047 0.030 
Fluorene 0.032 0.043 
Indeno(1,2,3,-cd)pyrene 0.020 0.003 
Naphthalene 0.168 0.241 
Phenanthrene 0.050 0.067 
Phenol 0.000 0.003 
Pyrene 0.054 0.074 

1450



 

Figure 3: Measured and computed (according to Eq(1)) UV-Vis spectra of a PAH-loaded flame formed 

mixture. 

The PAH composition, as measured by gas-chromatography, was also inserted in the program as starting set 
of PAH weight fractions. The output of the reconstruction procedure, accordingly to the Eq(2), were the set of 
xi

w, the PAH fraction ypah, and the two parameters of the power dispersion law, a and n. It is noteworthy that 
the value of n was about 1.9 that is a typical value for these materials (D’Alessio et al., 1973). 
The absorption spectrum of a PAH-loaded mixture collected in a premixed rich ethylene flame is partially 
justified by the computed spectrum of identified PAH even though the fine structure of the spectra of computed 
PAH reproduces quite well the fine structure of the measured spectrum. Consequently, a background 
contribution has been added (Eq. (2)) to recompose the measured spectrum as shown in Fig.2 where the 
measured and computed absorption profiles of a typical PAH-loaded mixture are reported together with the 
relative contributions of identified PAH and background. 
Table 2 reports the set of mass fractions of the PAH species as results from the calculations for the PAH-
loaded flame formed mixture. The value of the total weight fraction of identified PAH, ypah , was around 0.5, in 
agreement with gas-chromatography measurements (Ciajolo et al., 1998).It is evident that the absorption 
profile, computed taking into account the presence of a background absorption, fits quite well the measured 
absorption profile whereas an attempt of reconstructing the measured spectrum by considering only the 
identified PAH contribution did not perfectly reproduce the fine structure of the spectrum. This is shown in 
Fig.3 where the measured absorption spectrum and the spectrum computed considering, according to Eq(1), 
only PAH as absorbing species are reported. More importantly, the reconstruction by using only the absorption 
of identified PAH has to be discarded because the program gave out a set of PAH weight fractions too 
different from that measured by gas-chromatographic analysis. 

4. Conclusions 

A computing methodology solving nonlinearly constrained problems has been used to reconstruct UV-Vis 
absorption spectra of PAH-loaded mixtures sampled along a laminar premixed rich ethylene-oxygen flame. 
This procedure allowed to discriminate between the various contributions to the total absorption, quantifying 
the weight concentration of predominant PAH present in a synthetic PAH-loaded mixture. A calibration 
performed on a mixture of a dozen of PAH has demonstrated that the program well reconstructs the UV-Vis 
absorption spectrum of the mixture, by introducing small variations to the set of initial weight fractions, allowing 

1451



to assess the described procedure as a good semi-quantitative method for the measurement of the PAH 
content of a mixture. 
The same computer methodology, applied to a flame-derived PAH-loaded mixture, showed the need of adding 
a background contribution in order to give a good reconstruction of the UV-Vis spectrum. This supports the 
hypothesis of the contribution of heavier aromatic species not identifiable by conventional techniques 
accompanying the formation/emission of PAH from combustion processes. 

Acknowledgments  

The authors accomplish this work with funding of the Ricerca di Sistema Elettrico MSE-CNR project. 

References  

Allouis C., Apicella B., Barbella R., Tregrossi A., Beretta F., Ciajolo A.; 2002, Soot and PAH formation in the 
rapeseed oil spray combustion; Clean Air, 3, 53-68. 

Ciajolo, A., D'Anna, A., Barbella, R., Tregrossi, A. and Violi, A., 1996, The Effect of Temperature on Soot 
Inception in Premixed Ethylene Flames, Twenty-Sixth Symposium (International) on Combustion/The 
Combustion Institute, 2327–2333. 

Ciajolo, A., Barbella, R., Tregrossi, A. and  Bonfanti, L., 1998, Spectroscopic and Compositional Signatures of 
PAH-loaded mixtures in the soot inception region of a premixed ethylene flame, Twenty-Seventh 
Symposium (International) on Combustion/The Combustion Institute, 1481–1487. 

Clar, E., 1964, Polycyclic Hydrocarbons, Academic Press Inc. 
D'Alessio, A.,  Di Lorenzo, A.,  Beretta, F.,  Venitozzi, C., 1973, Optical and chemical investigations on fuel-

rich methane-oxygen premixed flames at atmospheric pressure, 14, 1, 941-953. 
Freudenthal, R.I., Jones, P.W., Eds., 1976, Polynuclear aromatic hydrocarbons: Chemistry, metabolism, and 

carcinogenesis. New York: Raven Press.  
Karcher, W., Fordham, R.J., Dubois, J.J., Glaude, P.G.J.M. and Lighart, J.A.M., 1983, Spectral Atlas of 

Polycyclic Aromatic Compounds, vol.1, D.Reidel Publishing Company. 
Karcher, W.,1988, Spectral Atlas of Polycyclic Aromatic Compounds, vol.2, Kluwer Academic Publishers. 
Millikan, R.C., 1961, Optical Properties of Soot, Journal of the Optical Society of America, 51, 6, 698-699.  
Tregrossi, A., Ciajolo, A., Barbella, R., 1999, The combustion of benzene in rich premixed flames at 

atmospheric pressure, Combustion and Flame, 117, 553–561.  
 
   
 

1452