Optimization Of Reduction Of Copper Using Stenotrophomonas Maltophilia Pd2 Biomass And Artificial

OPTIMIZATION OF REDUCTION OF COPPER USING Stenotrophomonas maltophilia PD2 BIOMASS AND ARTIFICIAL NEURAL NETWORK MODELING

Autori: Arpita Ghosh
Data aparitiei: Ianuarie / 2014
Revista: Environmental Engineering and Management Journal › Vol. 14 › Nr. 1
ISSN: 1843 - 3707

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Disponibil la Abonament

OPTIMIZATION OF REDUCTION OF COPPER USING
Stenotrophomonas maltophilia PD2 BIOMASS
AND ARTIFICIAL NEURAL NETWORK MODELING

Cuvinte cheie: Artificial Neural Network (ANN) biosorption Copper (II) resistant bacteria optimization Response Surface Methodology (RSM)

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