CHEMICAL ENGINEERING TRANSACTIONS  
 

VOL. 81, 2020 

A publication of 

 

The Italian Association 
of Chemical Engineering 
Online at www.cetjournal.it 

Guest Editors: Petar S. Varbanov, Qiuwang Wang, Min Zeng, Panos Seferlis, Ting Ma, Jiří J. Klemeš 

Copyright © 2020, AIDIC Servizi S.r.l. 

ISBN 978-88-95608-79-2; ISSN 2283-9216 

Optimization of Nitrate Removal from Aqueous Solution by 

Acid-Activated Rice Straw Supported Nano Zero-Valent Iron 

using Response Surface Methodology 

Dalia Amer Alia,*, Nagwa Mahmoud Al-Mansib, Mohamed Amin Sadeka, Ahmad 

Wafiq Abolnasrb 

aDepartment of Chemical Engineering, The British University in Egypt, El-Shorouk City, Cairo 11837, Egypt  
bDepartment of Chemical Engineering, Cairo University, Giza 12613, Egypt 

 Dalia.Amer@bue.edu.eg 

Rice straw is one of the most common agricultural wastes due to its large production amounts. Energy 

valorization of rice straw is a technology used for nitrate removal as the produced ashes used to generate the 

adsorbent by means of an alkali dissolution followed by acid precipitation. The novelty of the proposed 

process is that the production of the nano zero-valent iron supported acid-activated rice straw (AARS-nZVI) 

adsorbent is carried out without the energy valorization process but, through an acid activation for rice straw 

followed by precipitation of nZVI particles on its surface. The new adsorbent synthesis, characterization and 

application were studied. Initial solution pH, initial nitrate concentration, adsorbent dose and contact time 

factors were considered during the investigation of nitrate removal efficiency using Central Composite Design 

(CCD) method. The optimum nitrate removal 91.62 % is obtained at initial pH of 7, initial nitrate concentration 

of 6 mg/L, adsorbent dose of 3 g/L and contact time of 180 min by using numerical optimization. 

1. Introduction 

The removal of nitrate from wastewater has a major concern nowadays. Excessive intake of nitrate by humans 

in drinking water and food can induce methemoglobinemia and stomach cancer (Motamedi et al., 2014). The 

denitrification from aqueous solutions can be achieved by various methods; biological denitrification, ion 

exchange, chemical reduction and reverse osmosis process using semi-permeable membrane (Hwang et al., 

2011). Biological treatment usually requires biomass waste disposal which is produced in sufficient amounts. 

Ion exchange treatment method produces concentrated nitrate rejection and exhausted resins. Reverse 

Osmosis disadvantages are high operating costs, complexity during operation and production of significant 

waste streams (Zhu and Getting, 2012). Nanoparticles of iron have promising advantages that can increase 

environmental remediation because; they have high reactivity due to their high surface area to volume ratio 

(Vilardi, 2018). Supported nZVI composites have been developed to override the agglomeration problem of 

nZVI particles alone which results in decreasing of their catalytic efficiency due to the reduction of their 

effective surface area. A variety of supporting materials which were used to increase the nZVI particle 

immobilization and their catalytic reactivity including carbon materials (eg. Nano-graphenes, exfoliated 

graphite and activated carbon). Nowadays, rice straw is used to remove nitrate from aqueous solution through 

an energy valorization technology where rice straw is burned at high temperature to produce ashes, followed 

by means of an alkali dissolution then by acid precipitation to produce silica gel which is used for nitrate 

reduction process (Moliner et al., 2018). In this research, the rice straw is used as a carbon support for the 

iron nanoparticles where rice straw is acid-activated then used as a support for nZVI particles to produce an 

adsorbent with lower energy consumption than the produced one using energy valorization process. The 

synthesis of this adsorbent not only contributes to the removal of nitrate but also, contributes to decreasing of 

rice straw waste which can increase the environmental remediation. 

 
 
 
 
 
 
 
 
 
 
                                                                                                                                                                 DOI: 10.3303/CET2081028 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Paper Received: 12/02/2020; Revised: 11/03/2020; Accepted: 17/03/2020 
Please cite this article as: Ali D.A., Al-Mansi N.M., Sadek M.A., Abolnasr A.W., 2020, Optimization of Nitrate Removal from Aqueous Solution 
by Acid-Activated Rice Straw Supported Nano Zero-Valent Iron using Response Surface Methodology, Chemical Engineering Transactions, 81, 
163-168  DOI:10.3303/CET2081028 
  

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2. Materials and methods 

2.1 Chemicals 

Raw rice straw was collected from Al-Sharkeya government in Egypt. All chemicals used in this study were 

analytical grade reagents including, FeCl3.6H2O, NaBH4, L-Ascorbic acid, Ethanol (pure 96 % v/v), NaOH, HCl 

and concentrated H2SO4 (98 %), These reagents were purchased from Alahram laboratory chemicals 

Company except FeCl3.6H2O was purchased from Alpha Chemika company. All solutions were prepared 

using double-distilled water. 

2.2 Synthesis of AARS-nZVI adsorbent 

As shown in Figure 1. Dust and heavy particles were removed from rice straw through washing it with distilled 

water followed by drying for 24 h in the sun then grinding to produce a powder rice straw. Acid activation for 

the powdered rice straw was achieved by using concentrated H2SO4 (98 %) in a ratio of (1:1) or (50 g : 50 mL) 

at room temperature followed by washing with distilled water till reaching neutral pH (6.8) then drying in an 

oven at 70 oC for 5 h. The AARS-nZVI was prepared by mixing of 300 mL ethanol and water in a ratio of (30: 

70) (V/V), 0.1 M L-ascorbic acid and 186 mg of the acid activated rice straw (AARS) in a three necked bottle 

for 30 min, followed by addition of 0.1 M FeCl3.6H2O then stirring for another 30 min till all of the FeCl3.6H2O 

dissolved in the solution mixture.  

 

 

Figure 1: Preparation scheme of AARS-nZVI adsorbent  

The insitu-reduction of nZVI particles on the surface of the AARS in the absence of an inert gas was 

performed through addition of 300 mL of 0.16 M NaBH4 dissolved in 0.1 M NaOH to maintain pH at 9 which 

was added drop by drop (1 drop per 2 seconds) into the solution mixture using a rotating speed of 180 rpm for 

3 h under aerobic conditions (Savasari et al., 2015). The synthesized adsorbent was subjected to vacuum 

filtration then washing with ethanol for several times, drying in a vacuum oven for 24 h at 40 oC and finally 

storing it in a vacuum desiccator. 

2.3 Batch experiments 

Batch experiments were performed for nitrate removal using four affecting factors including initial solution pH 

from 2 to 12 which were adjusted by using 0.1 M NaOH and 0.1 M HCl solutions, initial nitrate concentration (6 

mg/L to 40 mg/L), adsorbent dose (2 g/L to 3 g/L) and contact time (5 min to 180 min). Experiments were 

performed in glass conical flasks and they were shaken vigorously at 150 rpm. The concentration of nitrate 

was measured by using a UV/VIS spectrophotometer (UV-5100, Shanghai Metash Instruments Company). 

3. Results and discussion 

3.1 Scanning Electron Microscopy (SEM) and (EDX)  

It could be observed that nZVI spherical particles were well dispersed on the adsorbents in Figure 2a with 

some aggregation for nZVI particles as a chain-like due to its huge magnetic property and interface energy. 

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Formation of thick layers of iron oxides on the adsorbent’s surface after nitrate reduction was observed in 

Figure 2b.  

 

 

Figure 2: SEM for AARS-nZVI adsorbent "a" before nitrate reduction and "b" after nitrate reduction 

Table 1 represented the results of EDX analysis where the iron content of the AARS was Zero % wt, while the 

iron content in AARS-nZVI adsorbent was 28.42 % wt. These results indicated a successful coating for nZVI 

particles was achieved. 

Table 1: EDX analysis for AARS and AARS-nZVI 

 

 

 

 

3.2 X-Ray Diffraction (XRD) 

The XRD pattern of AARS-nZVI before nitrate reduction was shown in Figure 3. The XRD pattern showed 

apparent peaks of nZVI at (2ϴ = 44.76o, 2ϴ = 65.166o) (Zhang et al., 2017). This pattern indicated another 

very weak reflection peaks which corresponding to Fe-O and Fe3O4. 

 

 

Figure 3: XRD analysis for AARS-nZVI adsorbent before nitrate reduction 

3.3 Zeta Potential analysis 

Point of zero charge (pHpzc) determination of the AARS-nZVI adsorbent is of significant importance because 

the adsorption of the desired contaminant was influenced by the electrostatic interaction between particle 

surfaces and the pollutant load. Figure 4 represented the pHpzc of the AARS-nZVI adsorbent to be at a pH of 

6.4 which is lower than the pHpzc of pure nZVI (around 8-9) (Sun et al., 2006).  

Elements (% wt) 

 C K O K S K  Si K  Fe K 

AARS 58.12 30.89 2.61                8.37                  0  

AARS-nZVI 49.5 20.73 1.35 0 28.42  

a) b) 

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Figure 4: Zeta potential analysis of AARS-nZVI adsorbent 

This might be due to the introduction of oxygen-containing functional groups like ethanol during the synthesis 

of the AARS-nZVI adsorbent. The pHpzc of AARS-nZVI adsorbent could propose an advantage for the removal 

of anions under neutral or nearly neutral pH.  

3.4 Regression model equation development 

The response function was developed by using the results of the nitrate removal rate regression model. The 

quadratic model after removal of insignificant terms to increase the model’s accuracy was as shown in the 

following Eq(1): 

Y = +60.92 – 28.97 A – 9.64 B + 3.42 C + 3.49 D – 23.59 A2 + 8.1 D2 (1) 

Where Y represented the nitrate removal rate. A, B, C and D were the pH, initial nitrate concentration, 

adsorbent dose and the contact time. 

3.5 Interactive effect of initial solution pH and contact time 

Figure 5 showed that the nitrate removal rate reached its maximum level 91.62 % when the initial solution pH 

was 7 and the contact time was at 180 min while the other two parameters initial nitrate concentration and 

adsorbent dose were fixed at 6 mg/L and 3 g/L.  

 

 

Figure 5: Response surface for initial solution pH and contact time versus the nitrate removal rate 

As shown in Figure 5; the percentage nitrate removal decreased from 97.8 % to 60 % with increase in the 

initial solution pH from 3 to 10 at different levels of contact time and under these conditions; initial nitrate 

concentration 6 mg/L and adsorbent dose = 3 g/L. When pH decreased, the medium became more acidic 

which decreased significantly the thickness of the iron oxide layer around the nZVI particles. In addition, the 

concentration of protons increased at low pH which led to the increase in the nitrate removal because, nitrate 

ions had negative charge which can be illustrated also, from the results obtained from using (pine cone 

activated carbon/nZVI) PCAC/nZVI at adsorbent dose = 10 g/L and initial nitrate concentration = 100 mg/L, the 

-60

-50

-40

-30

-20

-10

0

10

0 2 4 6 8 10 12 14 16

Z
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ta
 P

o
te

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l 
(m

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pH

pH = 6.4

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percentage nitrate removal decreased from 95 % to 59 % with increasing in the initial solution pH from 3 to 10 

(Sepehri and Nakhjavanimoghaddam, 2018). 

3.6 Interactive effect of initial nitrate concentration and contact time 

Figure 6 showed that the nitrate removal rate reached its maximum level 91.62 % when the initial nitrate 

concentration was at 6 mg/L and the contact time was at 180 min while the other two parameters pH and 

adsorbent dose were fixed at 7 and 3 g/L.  

 

 

Figure 6: Response surface for initial nitrate concentration and contact time versus the nitrate removal rate 

Figure 6 showed that nitrate removal percent decreased from 91.62 % to 60 % with increasing nitrate 

concentration from 6 mg/L to 40 mg/L under these conditions; pH = 7 and adsorbent dose = 3 g/L. The reason 

could be attributed to the decrease of the active sites on the adsorbent while increasing in the nitrate ion 

concentration which can be also illustrated from the results obtained from using of AC/nZVI as an adsorbent 

for nitrate where the nitrate removal rate decreased from 90.75 % to 79.7 % with increasing nitrate 

concentration from 6 mg/L to 40 mg/L under these conditions; pH = 5.4 and adsorbent dose = 5 g/L 

(Yazdanbakhsh et al., 2018). 

3.7 Interactive effect of adsorbent dose and contact time  

Figure 7 showed the nitrate removal rate reached its maximum level 91.62 % when the adsorbent dose was at 

3 g/L and the contact time was at 180 min while the other two parameters pH and initial nitrate concentration 

were fixed at 7 and 6 mg/L.  

 

 

Figure 7: Response surface for the adsorbent dose and contact time versus the nitrate removal rate 

Figure 7 showed that as an increase in the adsorbent dose from 2 g/L to 3 g/L had a positive effect on the 

nitrate removal rate as it increased from 70 % to 91.62 % under these conditions; pH = 7 and initial nitrate 

concentration = 6 mg/L. When the adsorbent dose increased, their specific surface area increased 

simultaneously which led to increasing in the reactive sites availability for nitrate reduction which can be 

illustrated also from the results obtained from using PCAC/nZVI as an adsorbent for nitrate at initial nitrate 

concentration = 100 mg/L and pH = 6, where the nitrate removal rate increased from 63 % to 73 % with 

increasing the adsorbent dose from 2 g/L to 3 g/L (Sepehri and Nakhjavanimoghaddam, 2018). 

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3.8 Optimization process 

Numerical optimization was anticipated in this study to reach the optimum conditions of the nitrate removal 

percentage model response using the Design Expert software. The optimization goals were chosen to reach 

the maximum nitrate removal rate at neutral pH as represented in Table 2.  

Table 2: Optimization constraints used to predict optimum conditions for nitrate removal process 

Factor Goal Lower Limit Upper Limit  Value 

Initial pH of solution target 2.8 12   7  

NO3 initial concentration(mg/L) minimize 6 40 ---  

Contact time (min) maximize 5 180 ---  

Adsorbent dose (g/L) maximize 2 3 ---  

% Nitrate removal  maximize 2.41 91.62 ---  

 

The maximum values for adsorbent dose and contact time were chosen to reach the maximum nitrate removal 

rate as it increased with increasing in adsorbent dose and contact time. The minimum value for initial nitrate 

concentration was chosen because the adsorption process acted effectively at small concentrations. 

4. Conclusion 

Synthesis of the AARS-nZVI adsorbent for nitrate removal was performed with lower energy consumption 

method than the energy valorization process. Also, synthesis of this adsorbent contributed in removal of 

nitrate and decreasing in rice straw waste which can increase the environmental remediation. The effects of 

pH, initial nitrate concentration and adsorbent dose were considered in nitrate removal efficiency. When the 

pH increased from 3 to 10, the nitrate removal efficiency decreased from 97.8 % to 60 % at fixed initial nitrate 

concentration and adsorbent dose of 6 mg/L and 3 g/L. Because a thick layer of iron oxides was formed on the 

adsorbent’s surface. Nitrate removal rate decreased from 91.62 % to 60 % with increasing nitrate 

concentration from 6 mg/L to 40 mg/L at fixed pH and adsorbent dose of 7 and 3 g/L due to the decrease in 

the reactive sites on the AARS-nZVI adsorbent. When adsorbent dose increased from 2 g/L to 3 g/L, the 

nitrate removal efficiency increased from 70 % to 91.62 % at fixed pH and initial nitrate concentration of 7 and 

6 mg/L due to the increase in the specific surface area which led to an increase in the reactive sites available 

for nitrate reduction. Optimization of nitrate removal was performed using CCD method as the optimum nitrate 

removal 91.62 % was achieved at pH of 7, initial nitrate concentration of 6 mg/L, adsorbent dose of 3 g/L and 

at a contact time of 180 min. 

References 

Hwang Y.H., Kim D.G., Shin H.S., 2011, Mechanism study of nitrate reduction by nano zero valent iron, 
Journal of Hazardous Materials, 185(2–3), 1513–1521.  

Moliner C., Teruel-Juanes R., Primaz C.T., Badia J.D., Bosio B., Campíns-Falcó P., Arato E., 2018, Reduction 
of nitrates in waste water through the valorization of rice straw: LIFE LIBERNITRATE project, 
Sustainability (Switzerland), 10(9).  

Motamedi E., Talebi Atouei M., Kassaee M.Z., 2014, Comparison of nitrate removal from water via graphene 
oxide coated Fe, Ni and Co nanoparticles, Materials Research Bulletin, 54, 34–40.  

Savasari M., Emadi M., Bahmanyar M.A., Biparva P., 2015, Optimization of Cd (II) removal from aqueous 
solution by ascorbic acid-stabilized zero valent iron nanoparticles using response surface methodology, 
Journal of Industrial and Engineering Chemistry, 21, 1403–1409.  

Sepehri S., Nakhjavanimoghaddam M.M., 2018, Batch removal of aqueous nitrate Ions using an effective 
Nano-Biocomposite, Global NEST JournalGlobal NEST: The International Journal, 21(3), 265–275.  

Sun Y.P., Li X.Q., Cao J., Zhang W.X., Wang H.P., 2006, Characterization of zero-valent iron nanoparticles, 
Advances in Colloid and Interface Science, 120(1–3), 47–56.  

Vilardi G., 2018, Bimetallic nZVI-induced chemical denitrification modelling using the shrinking core model, 
Chemical Engineering Transactions, 70(2012), 235–240.  

Yazdanbakhsh A., Hashempour Y., Ghaderpouri M., 2018, Performance of granular activated 
carbon/nanoscale zero-valent iron for removal of humic substances from aqueous solution based on 
experimental design and response surface modeling, Global Nest Journal, 20(1), 57–68.  

Zhang Y., Douglas G.B., Pu L., Zhao Q., Tang Y., Xu W., Ye Z., 2017, Zero-valent iron-facilitated reduction of 
nitrate: Chemical kinetics and reaction pathways. Science of the Total Environment, 598, 1140–1150.  

Zhu I., Getting T., 2012, A review of nitrate reduction using inorganic materials, Environmental Technology 
Reviews, 1(1), 46–58.  

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