Literature DB >> 28577452

Green and efficient biosorptive removal of methylene blue by Abelmoschus esculentus seed: Process optimization and multi-variate modeling.

Ashish Kumar Nayak1, Anjali Pal2.   

Abstract

The present work explores, for the first time, the adsorptive removal of methylene blue (MB) dye from aqueous solution using different parts of abundantly available agricultural product, Abelmoschus esculentus (lady's finger), and the processed seed powder (designated as LFSP) was found as the best. The aforesaid biosorbent was characterized using field emission scanning electron microscopy (FESEM), Fourier transform infrared spectroscopy (FTIR) and pHZPC analyses. The biosorption performance was evaluated using batch studies at 303 K, at varying operating conditions such as solution pH, biosorbent dosage, initial dye concentration and contact time. The pseudo-second order kinetic model was followed during the adsorption, and it was also found that intra-particle diffusion played a prominent role in the rate-controlling step. Langmuir and Temkin isotherms were followed the best, as was evident from the lower % non-linear error values and higher degree of determination coefficients. Thermodynamic investigations revealed that the biosorption processes were spontaneous and endothermic. Using the response surface methodology (RSM), a central composite design was developed, and subsequently applied as an input for the artificial neural network (ANN) approach in order to further analyze the interactive term effects between the significant process parameters, on the maximum biosorption capacity for MB dye removal by LFSP. The non-linear error functions and linear regression coefficients on the RSM model showed its dominance behaviour over ANN model for both data fitting and estimation capabilities. Using the statistical optimization, the maximum uptake capacity was found to be 205.656 mg/g. Experiments were conducted to regenerate the adsorbent and to recover the adsorbed dye using the eluent 0.5 M HCl. Cost analysis showed that, LFSP was 7 times cheaper than commercially available activated carbons.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Artificial neural network (ANN); Biosorption; Lady's finger (Abelmoschus esculentus); Methylene blue; Response surface methodology (RSM)

Mesh:

Substances:

Year:  2017        PMID: 28577452     DOI: 10.1016/j.jenvman.2017.05.045

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  5 in total

1.  Improved phenol sequestration from aqueous solution using silver nanoparticle modified Palm Kernel Shell Activated Carbon.

Authors:  M O Aremu; A O Arinkoola; I A Olowonyo; K K Salam
Journal:  Heliyon       Date:  2020-07-18

2.  Novel approach for effective removal of methylene blue dye from water using fava bean peel waste.

Authors:  Omar S Bayomie; Haitham Kandeel; Tamer Shoeib; Hu Yang; Noha Youssef; Mayyada M H El-Sayed
Journal:  Sci Rep       Date:  2020-05-08       Impact factor: 4.379

3.  Sorption studies of europium on cerium phosphate using Box-Behnken design.

Authors:  Süleyman İnan
Journal:  Turk J Chem       Date:  2020-08-18       Impact factor: 1.239

4.  The Use of High Surface Area Mesoporous-Activated Carbon from Longan Seed Biomass for Increasing Capacity and Kinetics of Methylene Blue Adsorption from Aqueous Solution.

Authors:  Panuwat Lawtae; Chaiyot Tangsathitkulchai
Journal:  Molecules       Date:  2021-10-28       Impact factor: 4.411

5.  A New Porous Hybrid Material Derived From Silica Fume and Alginate for Sustainable Pollutants Reduction.

Authors:  Alessandra Zanoletti; Ivano Vassura; Elisa Venturini; Matteo Monai; Tiziano Montini; Stefania Federici; Annalisa Zacco; Laura Treccani; Elza Bontempi
Journal:  Front Chem       Date:  2018-03-19       Impact factor: 5.221

  5 in total

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