Literature DB >> 20869234

Biosorption of Acid Black 172 and Congo Red from aqueous solution by nonviable Penicillium YW 01: kinetic study, equilibrium isotherm and artificial neural network modeling.

Yuyi Yang1, Guan Wang, Bing Wang, Zeli Li, Xiaoming Jia, Qifa Zhou, Yuhua Zhao.   

Abstract

The main objective of this work was to investigate the biosorption performance of nonviable Penicillium YW 01 biomass for removal of Acid Black 172 metal-complex dye (AB) and Congo Red (CR) in solutions. Maximum biosorption capacities of 225.38 and 411.53 mg g(-1) under initial dye concentration of 800 mg L(-1), pH 3.0 and 40 °C conditions were observed for AB and CR, respectively. Biosorption data were successfully described with Langmuir isotherm and the pseudo-second-order kinetic model. The Weber-Morris model analysis indicated that intraparticle diffusion was the limiting step for biosorption of AB and CR onto biosorbent. Analysis based on the artificial neural network and genetic algorithms hybrid model indicated that initial dye concentration and temperature appeared to be the most influential parameters for biosorption process of AB and CR onto biosorbent, respectively. Characterization of the biosorbent and possible dye-biosorbent interaction were confirmed by Fourier transform infrared spectroscopy and scanning electron microscopy. Copyright Â
© 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20869234     DOI: 10.1016/j.biortech.2010.08.125

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  13 in total

1.  Biosorption potential of synthetic dyes by heat-inactivated and live Lentinus edodes CCB-42 immobilized in loofa sponges.

Authors:  Gabriela Gregolin Gimenez; Suelen Pereira Ruiz; Wilker Caetano; Rosane Marina Peralta; Graciette Matioli
Journal:  World J Microbiol Biotechnol       Date:  2014-09-30       Impact factor: 3.312

Review 2.  Adsorptive amputation of hazardous azo dye Congo red from wastewater: a critical review.

Authors:  Nirav P Raval; Prapti U Shah; Nisha K Shah
Journal:  Environ Sci Pollut Res Int       Date:  2016-06-02       Impact factor: 4.223

3.  Artificial neural network (ANN) modeling of adsorption of methylene blue by NaOH-modified rice husk in a fixed-bed column system.

Authors:  Shamik Chowdhury; Papita Das Saha
Journal:  Environ Sci Pollut Res Int       Date:  2012-05-05       Impact factor: 4.223

4.  Computational identification and analysis of the key biosorbent characteristics for the biosorption process of reactive black 5 onto fungal biomass.

Authors:  Yu-Yi Yang; Ze-Li Li; Guan Wang; Xiao-Ping Zhao; David E Crowley; Yu-Hua Zhao
Journal:  PLoS One       Date:  2012-03-19       Impact factor: 3.240

5.  Optimization of biosorptive removal of dye from aqueous system by cone shell of Calabrian pine.

Authors:  Fatih Deniz
Journal:  ScientificWorldJournal       Date:  2014-10-21

6.  Biosorption of methylene blue by de-oiled algal biomass: equilibrium, kinetics and artificial neural network modelling.

Authors:  Rahulkumar Maurya; Tonmoy Ghosh; Chetan Paliwal; Anupama Shrivastav; Kaumeel Chokshi; Imran Pancha; Arup Ghosh; Sandhya Mishra
Journal:  PLoS One       Date:  2014-10-13       Impact factor: 3.240

7.  Immobilisation of bacteria onto magnetic nanoparticles for the decolorisation and degradation of azo dyes.

Authors:  Ayoub Nadi; Damien Boyer; Nicolas Charbonnel; Aïcha Boukhriss; Christiane Forestier; Said Gmouh
Journal:  IET Nanobiotechnol       Date:  2019-04       Impact factor: 1.847

8.  Optimization of Acid Black 172 decolorization by electrocoagulation using response surface methodology.

Authors:  Mahsa Taheri; Mohammad Reza Alavi Moghaddam; Mokhtar Arami
Journal:  Iranian J Environ Health Sci Eng       Date:  2012-12-11

9.  Efficient removal of crystal violet using Fe3O4-coated biochar: the role of the Fe3O4 nanoparticles and modeling study their adsorption behavior.

Authors:  Pengfei Sun; Cai Hui; Rashid Azim Khan; Jingting Du; Qichun Zhang; Yu-Hua Zhao
Journal:  Sci Rep       Date:  2015-07-29       Impact factor: 4.379

10.  Effective Removal of Congo Red by Triarrhena Biochar Loading with TiO2 Nanoparticles.

Authors:  Peng Yu; Tao Hu; Hong Hui Chen; Fangfang Wu; Hui Liu
Journal:  Scanning       Date:  2018-06-04       Impact factor: 1.932

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