title: Statistical optimization and artificial neural network modeling for acridine orange dye degradation using in-situ synthesized polymer capped ZnO nanoparticles.
abstract: ZnO NPs were synthesized by a prudent green chemistry approach in presence of polyacrylamide grafted guar gum polymer (pAAm-g-GG) to ensure uniform morphology, and functionality and appraised for their ability to degrade photocatalytically Acridine Orange (AO) dye. These ZnO@pAAm-g-GG NPs were thoroughly characterized by various spectroscopic, XRD and electron microscopic techniques. The relative quantity of ZnO NPs in polymeric matrix has been estimated by spectro-analytical procedure; AAS and TGA analysis. The impact of process parameters viz. NP's dose, contact time and AO dye concentration on percentage photocatalytic degradation of AO dyes were evaluated using multivariate optimizing tools, Response Surface Methodology (RSM) involving Box-Behnken Design (BBD) and Artificial Neural Network (ANN). Congruity of the BBD statistical model was implied by R2value 0.9786 and F-value 35.48. At RSM predicted optimal condition viz. ZnO@pAAm-g-GG NP's dose of 0.2g/L, contact time of 210min and AO dye concentration 10mg/L, a maximum of 98% dye degradation was obtained. ANOVA indicated appropriateness of the model for dye degradation owing to "Prob.>F" less than 0.05 for variable parameters. We further, employed three layers feed forward ANN model for validating the BBD process parameters and suitability of our chosen model. The evaluation of Levenberg-Marquardt algorithm (ANN1) and Gradient Descent with adaptive learning rate (ANN2) model employed to scrutinize the best method and found experimental values of AO dye degradation were in close to those with predicated value of ANN 2 modeling with minimum error.
authors.affiliation: Water Analysis Laboratory, Nanotherapeutics & Nanomaterial Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-Indian Institute of Toxicology Research Campus, Lucknow 226001, Uttar Pradesh, India.
authors.forename: Nitesh
authors.initials: N
authors.lastname: Dhiman
authors.affiliation: Department of Civil Engineering, Institute of Engineering & Technology, Lucknow 226021 Uttar Pradesh, India; Environmental Monitoring Laboratory, Environmental Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India.
authors.lastname: Markandeya
authors.affiliation: Water Analysis Laboratory, Nanotherapeutics & Nanomaterial Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India.
authors.forename: Amrita
authors.initials: A
authors.lastname: Singh
authors.affiliation: Water Analysis Laboratory, Nanotherapeutics & Nanomaterial Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; BBD University, School of Dental Sciences, Faizabad Road, Lucknow 226028, Uttar Pradesh, India.
authors.forename: Neeraj K
authors.initials: NK
authors.lastname: Verma
authors.affiliation: Advanced Imaging Facility, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India.
authors.forename: Nidhi
authors.initials: N
authors.lastname: Ajaria
authors.affiliation: Water Analysis Laboratory, Nanotherapeutics & Nanomaterial Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-Indian Institute of Toxicology Research Campus, Lucknow 226001, Uttar Pradesh, India. Electronic address: satyakampatnaik@iitr.res.in.
authors.forename: Satyakam
authors.initials: S
authors.lastname: Patnaik
mesh_terms: D000165:Acridine Orange / Q000737:chemistry*; D000465:Algorithms; D053758:Nanoparticles / Q000737:chemistry*; D016571:Neural Networks, Computer; D011108:Polymers / Q000737:chemistry*; D015034:Zinc Oxide / Q000737:chemistry*
chemical_list: D011108:Polymers; D000165:Acridine Orange; D015034:Zinc Oxide
keywords: Acridine orange; Artificial Neural Network; Box-Behnken Design; Guar gum; Response surface methodology; ZnO nanoparticles