Separation of organic acid compounds from biological samples by zinc oxide nanoparticles-chitosan using genetic algorithm based on response surface methodology and artificial neural network

Journal of Chemometrics

Volumn 28, Issue 7, 2014, Pages 539-547

  Khajeh, Mostafa ^a   Gharan, Mohsen ^a  

^a UNIVERSITY OF ZABOL   (Iran)

Author keywords

Artificial neural network; Genetic algorithm; Organic acids; Response surface methodology; Zinc oxide nanoparticles

Indexed keywords

CHITOSAN; EXTRACTION; GENETIC ALGORITHMS; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; II-VI SEMICONDUCTORS; OXALIC ACID; PHASE SEPARATION; SURFACE PROPERTIES; ZNO NANOPARTICLES;

BIOLOGICAL SAMPLES; GENERALISATION; HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY; MODEL RESPONSE; PREDICTIVE CAPABILITIES; PREDICTIVE MODELS; RESPONSE-SURFACE METHODOLOGY; SIMULATION AND OPTIMIZATION; SOLID-PHASE EXTRACTION; ZINC OXIDE NANOPARTICLES;

NEURAL NETWORKS;

EID: 84904383741     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.2613     Document Type: Article

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