Functionalization of nanocrystalline cellulose for decontamination of Cr(III) and Cr(VI) from aqueous system: Computational modeling approach

Clean Technologies and Environmental Policy

Volumn 16, Issue 6, 2014, Pages 1179-1191

  Singh, Kiran ^a   Arora, Jyoti Kumar ^a   Sinha, T Jai Mangal ^b   Srivastava, Shalini ^a  

^a DAYALBAGH EDUCATIONAL INSTITUTE   (India)

^b Research and Development Lab Sigachi Industries Pvt Ltd   (India)

Author keywords

Adsorption isotherms; Artificial neural networks; Chromium removal; Functionalization; Kinetics

Indexed keywords

ADSORPTION; ADSORPTION ISOTHERMS; AMINES; BACKPROPAGATION; BIOMASS; CELLULOSE; CELLULOSE DERIVATIVES; EFFICIENCY; ENZYME KINETICS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; MEAN SQUARE ERROR; METAL NANOPARTICLES; NANOCELLULOSE; NANOCRYSTALS; NETWORK ARCHITECTURE; NEURAL NETWORKS; SOIL POLLUTION CONTROL; STATISTICAL TESTS;

CHROMIUM REMOVAL; FOURIER TRANSFORM INFRARED SPECTROMETRY; FREUNDLICH AND LANGMUIR ISOTHERMS; FUNCTIONALIZATIONS; MINIMUM MEAN SQUARED ERROR; MOLECULAR MODIFICATION; NANOCRYSTALLINE CELLULOSE; NANOCRYSTALLINE CELLULOSE(NCC);

CHROMIUM COMPOUNDS;

ADSORPTION; AMINES; BIOMASS; CELLULOSE DERIVATIVES; CHROMIUM; FOURIER ANALYSIS; INFRARED SPECTROSCOPY; ISOTHERMS; NEURAL NETWORKS;

EID: 84905279532     PISSN: 1618954X     EISSN: 16189558     Source Type: Journal    
DOI: 10.1007/s10098-014-0717-8     Document Type: Article

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