Investigation of potato peel-based bio-sorbent efficiency in reactive dye removal: Artificial neural network modeling and genetic algorithms optimization

Journal Title: Journal of Advances in Environmental Health Research (JAEHR) - Year 2013, Vol 1, Issue 1

Abstract

Over the last few years, a number of investigations have been conducted to explore the low cost sorbents for the decontamination of toxic materials. Undoubtedly, agricultural waste mass is presently one of the most challenging topics, which has been gaining attention during the past several decades. Wastes are very cheap and easily available material in production of sorbent. Therefore, the Reactive Red 198 (RR198) removal efficiency from aqueous solutions by potato peel powder based sorbent (PP) was examined in this study. The Taguchi method was used in combination with full factorial methods to design the experiments. Based on the design of experiment outputs, 18 experimental sets were designed and the experiments were done in accordance with the experimental design. The sorption handmade batch reactor consists of a 200 ml beaker, 100 RPM magnetic stirrer, and a sampling port. Then, the experimental data were collected under desired conditions. In each sample sorbent was separated using a centrifuge (3000 rpm and 5 minutes). Then, dye concentrations were determined based on Beer’s law and calibration plots using a UV-visible spectrophotometer. The wavelength resolution and the bandwidth were, respectively, 1 and 0.4 nm. The length of the optical path in glass cell was 1 cm. The maximum absorption wavelength was determined in each run to compensate the matrix effects. The results revealed that PP is effective for the sorption of RR198 from aqueous solutions. The maximum sorption of PP from RR198 solution was determined as 93 mg/g. Artificial neural network (ANN) model of dye removal efficiency (DR%) was developed based on the experimental data sets. The ANN model was strongly validated using statistical tests. The R2 and RMSE of the test set were 0.98 and 4.3, respectively. The results demonstrate that PP can be successfully used as sorbent for RR198 removal from aqueous solutions. The results revealed that experimental parameters strongly influence the DR% and different experimental conditions cause different DR% (from 0 to 93).

Authors and Affiliations

Keywords

Related Articles

Chromium bioremediation by Alcaligenes sp. strain newly isolated from chromite mine of Sabzevar

In this work, CKCr-6A strain was found to be highly resistant to some toxic heavy metals such as Cr+6, Cr+3, Cu+2, Co+2, Cd+2, Pb+2, Hg+2, U+6, tellurium, and selenite. Herein, high chromate tolerance of an isolated stra...

Mobility of zinc and copper in contaminated clay soil influenced by Actinidia deliciosa and incubation times

s a low cost byproduct, Actinidia deliciosa shell can be made into sorbent materials which are used in heavy metals immobilization. It has been investigated as a replacement for currently expensive methods of heavy metal...

Removal of nickel and total chromium using Escherichia coli biofilm supported on clinoptilolite

Biofilm is communities of microorganisms attached to the surface and is able to concentrate metal species within their cell structure. Therefore, the aim of this study was to produce Escherichia coli biofilm on zeolite (...

Daily visual display terminal use and musculoskeletal disorders among Iranian bank tellers

Visual display terminals (VDTs) as one of the most important and useful equipment are used in offices and workplaces that may be created some health hazards, including work-related musculoskeletal disorders (WMSDs). The...

Indoor particulate concentration during biomass burning in central India

Indoor air particulate (PM) exposure is several folds more dangerous than outdoor air owing to burning of different materials. Burning biomass emits toxic fumes that are found to be associated with numerous health pro...

Download PDF file
  • EP ID EP415135
  • DOI 10.22102/JAEHR.2013.40121
  • Views 191
  • Downloads 0

How To Cite

(2013). Investigation of potato peel-based bio-sorbent efficiency in reactive dye removal: Artificial neural network modeling and genetic algorithms optimization. Journal of Advances in Environmental Health Research (JAEHR), 1(1), 21-28. https://europub.co.uk/articles/-A-415135