Statistical optimization of arsenic biosorption by microbial enzyme via Ca-alginate beads.

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Statistical optimization of arsenic biosorption by microbial enzyme via Ca-alginate beads.

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2017 nî lūn-bûn

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2017年学术文章

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Statistical optimization of ar ...... enzyme via Ca-alginate beads.

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Statistical optimization of ar ...... enzyme via Ca-alginate beads.

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Statistical optimization of ar ...... enzyme via Ca-alginate beads.

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Statistical optimization of ar ...... enzyme via Ca-alginate beads.

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Statistical optimization of ar ...... enzyme via Ca-alginate beads.

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Statistical optimization of ar ...... enzyme via Ca-alginate beads.

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P1476

Statistical optimization of arsenic biosorption by microbial enzyme via Ca-alginate beads

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P2093

Anindita Banerjee

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P2860

A review of the source, behaviour and distribution of arsenic in natural waters

Microbial heavy-metal resistance.

Distribution of microbial arsenic reduction, oxidation and extrusion genes along a wide range of environmental arsenic concentrations.

Adsorption of arsenic by activated carbon, calcium alginate and their composite beads.

A modular cell-based biosensor using engineered genetic logic circuits to detect and integrate multiple environmental signals.

Adsorption characteristics of arsenic from micro-polluted water by an innovative coal-based mesoporous activated carbon.

Removal of hydroquinone from water by electrocoagulation using flow cell and optimization by response surface methodology.

Optimization of an A(2)/O process for tetracycline removal via response surface methodology coupled with a Box-Behnken design.

Utilization of various agricultural wastes for activated carbon preparation and application for the removal of dyes and metal ions from aqueous solutions.

Arsenic removal by a waste metal (hydr)oxide entrapped into calcium alginate beads.

P304

436-442

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P31

scholarly article

P356

10.1080/10934529.2017.1409009

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P433

http://www.w3.org/2001/XMLSchema#string

P478

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P50

P Sarkar

Suchetana Banerjee

P577

2017-12-26T00:00:00Z

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P698

29278978

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