Artificial neural network (ANN) modeling of dynamic adsorption of crystal violet from aqueous solution using citric-acid-modified rice (Oryza sativa) straw as adsorbent

Clean Technologies and Environmental Policy

Volumn 15, Issue 2, 2013, Pages 255-264

  Chakraborty, Sagnik ^a   Chowdhury, Shamik ^a   Saha, Papita Das ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Adsorption; Artificial neural network; Citric acid modified rice straw; Crystal violet; Fixed bed column

Indexed keywords

ADSORPTION; AGRICULTURAL ROBOTS; AGRICULTURAL WASTES; CHEMICAL ANALYSIS; CITRIC ACID; CRYSTALS; ERRORS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; GAS ADSORPTION; PORE SIZE; SCANNING ELECTRON MICROSCOPY;

ARTIFICIAL NEURAL NETWORK MODELS; BED DEPTH SERVICE TIME MODEL; BREAKTHROUGH PERFORMANCE; CHEMICAL CHARACTERISTIC; CORRELATION COEFFICIENT; CRYSTAL VIOLET; FIXED BED COLUMNS; RICE STRAWS;

NEURAL NETWORKS;

ORYZA SATIVA;

EID: 84880722015     PISSN: 1618954X     EISSN: 16189558     Source Type: Journal    
DOI: 10.1007/s10098-012-0503-4     Document Type: Article

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