Simulation and Optimization of Artificial Neural Network Modeling for Prediction of Sorption Efficiency of Nanocellulose Fibers for Removal of Cd (II) Ions from Aqueous System


  • Abhishek KARDAM Amity Institute of Advanced Research Studies, Amity University, Noida
  • Kumar Rohit RAJ Department of Chemistry, Faculty of Science, Dayalbagh Educational Institute
  • Jyoti Kumar ARORA Department of Mathematics, Technical College, Dayalbagh Educational Institute, Agra
  • Shalini SRIVASTAVA Department of Chemistry, Faculty of Science, Dayalbagh Educational Institute


Artificial neural network, Biosorption, simulation and optimization, nanocellulose fibers, cadmium removal


Simulation and optimization of an Artificial Neural Network (ANN) for modeling biosorption studies of cadmium removal using nanocellulose fibers (NCFs) was carried out. Experimental studies led to the standardization of the optimum conditions for the removal of cadmium ions i.e. biomass dosage (0.5 g), test volume (200 ml), metal concentration (25 mg/l), pH (6.5) and contact time (40 min). A Single layer ANN model was developed to simulate the process and to predict the sorption efficiency of Cd (II) ions using NCFs. Different NN architectures were tested by varying network topology, resulting in excellent agreement between experiment outputs and ANN outputs. The findings indicated that ANN provided reasonable predictive performance for training, cross validation and testing data sets (R2 = 0.998, 0.995, 0.992). A sensitivity analysis was carried out to assess the influence of different independent parameters on the biosorption efficiency, and pH > biomass dosage > metal concentration > contact time > test volume were found to be the most significant factors. Simulations based on the developed ANN model can estimate the behavior of the biosorption phenomenon process under different experimental conditions.



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Author Biography

Abhishek KARDAM, Amity Institute of Advanced Research Studies, Amity University, Noida

Assistant Professor

Amity Institute of Advanced Research Studies (Materials & Devices), Amity University, Noida, India


MD Mashitah, YY Azila and S Bhatia. Biosorption of Cadmium (II) Ions by Immobilized Cells of Pycnoporus sanguineus from Aqueous Solution. Bioresour. Technol. 2008; 99, 4742-8.

R Hajdu, JP Pinheiro, J Galceran and VI Slaveykova. Modeling of Cd uptake and efflux kinetics in metal-resistant bacterium Cupriavidus metallidurans. Environ. Sci. Technol. 2010; 44, 4597-602.

DHK Reddy, DKV Ramana, K Seshaiah and AVR Reddy. Biosorption of Ni (II) from aqueous phase by Moringa oleifera bark, a low cost biosorbent. Desalination 2011; 268, 150-7.

F Zan, S Huo, B Xi and X Zhao. Biosorption of Cd2+ and Cu2+ on Immobilized Saccharomyces cerevisiae. Front. Environ. Sci. Eng. 2012; 6, 51-8.

KY Foo and BH Hameed. Insights into the modeling of adsorption isotherm systems. Chem. Eng. J. 2010, 156, 2-10.

GX Li, CZ Yan, DD Zhang, C Zhang and GY Chen. Cadmium(II) biosorption from aqueous solutions using Hydrilla verticillata. Can. J. Chem. Eng. 2013; 91, 1022-30.

HK Alluri, SR Ronda, VS Settalluri, JS Bondili, V Suryanarayana and P Venkateshwar. Biosorption: An eco-friendly alternative for heavy metal removal. Afr. J. Biotechnol. 2007; 25, 2924-31.

J Theron, JA Walker and TE Cloete. Nanotechnology and water treatment: applications and emerging opportunities. Crit. Rev. Microbiol. 2008; 34, 43-69.

KT Dhermendra, J Behari and S Prasenjit. Application of nanoparticles in waste water treatment. World Appl. Sci. J. 2008; 3, 417-33.

WX Zhang. Nanoscale iron particles for environmental remediation: an overview. J. Nanopart. Res. 2003; 5, 323-32.

VL Colvin. The potential environmental impact of engineered nanomaterials. Nat. Biotechnol. 2003; 10, 1166-70.

MS Diallo, S Christie, P Swaminathan, JH Johnson and WA Goddard. Dendrimer enhanced ultra-filtration recovery of Cu (II) from aqueous solutions using Gx-NH2-PAMAM dendrimers with ethylene diamine core. Environ. Sci. Technol. 2005; 39, 1366-77.

MA Samir, F Alloin and A Dufresne. Review of recent research into cellulosic whiskers, their properties and their application in nanocomposites field. Biomacromol. 2005; 6, 612-26.

PM Visakh and S Thomas. Preparation of bionanomaterials and their polymer nanocomposites from waste and biomass. Waste Biomass Valor. 2010; 1, 121-34.

H Ma, C Burger, BS Hsiao and B Chu. Ultra-fine cellulose nanofibers: new nanoscale materials for water purification. J. Mater. Chem. 2011; 21, 7507-10.

H Ma, BS Hsiao and B Chu. Ultrafine cellulose nanofibers as efficient adsorbents for removal of UO2 in water. ACS Macro Letters 2012; 1, 213-6.

DS Rajawat, A Kardam, S Srivastava and SP Satsangi. Nanocellulosic fibers-modified carbon paste electrode for ultra trace determination of Cd (II) and Pb (II) in aqueous solution. Environ. Sci. Pollut. Res. 2013; 20, 3068-76.

J Febrianto, AN Kosasih, J Sunarso, YH Jua, N Indraswati and S Ismadji. Equilibrium and kinetic studies in adsorption of heavy metals using biosorbent: A summary of recent studies. J. Hazard. Mater. 2009; 162, 616-45.

GR Shetty and S Chellam. Predicting membrane fouling during municipal drinking water nanofiltration using artificial neural networks. J. Membr. Sci. 2003; 217, 69-86.

YS Park, TS Chon, IS Kwak and S Lek. Hierarchical community classification and assessment of aquatic ecosystems using artificial neural networks. Sci. Total Environ. 2004; 327, 105-22.

KR Raj, A Kardam, JK Arora and S Srivastava. Artificial Neural Network (ANN) design for Hg-Se interactions and their effect on reduction of Hg uptake by radish plant. J. Radioanal. Nucl. Chem. 2010; 283, 797-801.

A Kardam, KR Raj, JK Arora and S Srivastava. Neural network prediction of the effect of selenium on the reduction of plant uptake of cadmium. Natl. Acad. Sci. Lett. 2010; 33, 83-7.

A Kardam, P Goyal, JK Arora, K R Raj and S Srivastava. Novel biopolymeric material: synthesis and characterization for decontamination of cadmium from wastewater. Natl. Acad. Sci. Lett. 2009; 32, 179-81.

A Kardam, KR Raj, JK Arora and S Srivastava. Artificial neural network modeling for sorption of cadmium from aqueous system by shelled Moringa Oleifera seed powder as an agricultural waste. J. Water Resource Protect. 2010; 2, 339-44.

A Kardam, KR Raj, JK Arora and S Srivastava. ANN modeling on predictions of biosorption efficiency of zea mays for the removal of Cr (III) and Cr (VI) from waste water. Int. J. Math. Trends Tech. 2011; 2, 23-9.

A Kardam, KR Raj and S Srivastava. Novel nano cellulosic fibers for remediation of heavy metals from synthetic water. Int. J. Nano Dimension 2012; 3, 155-62.

M Iqbal, A Saeed and N Akhtar. Petiolar felt shealth of palm, a new biosorbent for the removal of heavy metals from contaminated water. Bioresource Technol. 2002; 81, 151-3.

M Ajmal, AKR Rao, A Rais and J Ahmad. Adsorption studies on rice husk: removal and recovery of Cd (II) from wastewater. Bioresource Technol. 2003; 86, 147-9.

P Goyal, P Sharma, S Srivastava, MM Srivastava. Saraca indica leaf powder for decontamination of lead: removal, recovery, adsorbent characterization and equilibrium modeling. Int. J. Environ. Sci. Tech. 2008; 5, 27-34.




How to Cite

KARDAM, A., RAJ, K. R., ARORA, J. K., & SRIVASTAVA, S. (2013). Simulation and Optimization of Artificial Neural Network Modeling for Prediction of Sorption Efficiency of Nanocellulose Fibers for Removal of Cd (II) Ions from Aqueous System. Walailak Journal of Science and Technology (WJST), 11(6), 497–508. Retrieved from