Biodegradation of two Azo dyes usingDietziasp. PD1: process optimization using Response Surface Methodology and Artificial Neural Network
出版年份 2015 全文链接
标题
Biodegradation of two Azo dyes usingDietziasp. PD1: process optimization using Response Surface Methodology and Artificial Neural Network
作者
关键词
-
出版物
Desalination and Water Treatment
Volume 57, Issue 16, Pages 7293-7301
出版商
Informa UK Limited
发表日期
2015-02-25
DOI
10.1080/19443994.2015.1013993
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Response surface Optimization for Biodegradation of Textile Azo dyes using isolated bacterial strain Pseudomonas sp.
- (2013) Shanmugam Senthilkumar et al. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
- Biosorption of Congo red and Indigo carmine by nonviable biomass of a newDietziastrain isolated from the effluent of a textile industry
- (2013) Papita Das Saha et al. Desalination and Water Treatment
- A review on toxic cadmium biosorption from contaminated wastewater
- (2013) Debranjan Ghosh et al. Desalination and Water Treatment
- Simultaneous co-metabolic decolourisation of azo dye mixtures and bio-electricity generation under thermophillic (50°C) and saline conditions by an adapted anaerobic mixed culture in microbial fuel cells
- (2012) Eustace Fernando et al. BIORESOURCE TECHNOLOGY
- Optimization of copper adsorption by chemically modified fly ash using response surface methodology modeling
- (2012) Arpita Ghosh et al. Desalination and Water Treatment
- Artificial neural network (ANN) modeling of adsorption of methylene blue by NaOH-modified rice husk in a fixed-bed column system
- (2012) Shamik Chowdhury et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Response surface optimization of a dynamic dye adsorption process: a case study of crystal violet adsorption onto NaOH-modified rice husk
- (2012) Shamik Chowdhury et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Modeling adsorption of sodium dodecyl benzene sulfonate (SDBS) onto polyaniline (PANI) by using multi linear regression and artificial neural networks
- (2011) Utkan Özdemir et al. CHEMICAL ENGINEERING JOURNAL
- Thomas and artificial neural network models for the fixed-bed adsorption of methylene blue by a beach waste Posidonia oceanica (L.) dead leaves
- (2011) Levent Cavas et al. CHEMICAL ENGINEERING JOURNAL
- Modelling of lead adsorption from industrial sludge leachate on red mud by using RSM and ANN
- (2011) Feza Geyikçi et al. CHEMICAL ENGINEERING JOURNAL
- Artificial neural network modeling in competitive adsorption of phenol and resorcinol from water environment using some carbonaceous adsorbents
- (2011) R.M. Aghav et al. JOURNAL OF HAZARDOUS MATERIALS
- Investigation of Cr(VI) adsorption onto chemically treated Helianthus annuus: Optimization using Response Surface Methodology
- (2010) Monika Jain et al. BIORESOURCE TECHNOLOGY
- Utilization of agro-industrial and municipal waste materials as potential adsorbents for water treatment—A review
- (2010) Amit Bhatnagar et al. CHEMICAL ENGINEERING JOURNAL
- Ecofriendly degradation of sulfonated diazo dye C.I. Reactive Green 19A using Micrococcus glutamicus NCIM-2168
- (2009) R.G. Saratale et al. BIORESOURCE TECHNOLOGY
- Application of response surface methodology for optimization of cadmium biosorption in an aqueous solution by Saccharomyces cerevisiae
- (2008) Farshid Ghorbani et al. CHEMICAL ENGINEERING JOURNAL
- Kinetic study and equilibrium isotherm analysis of Congo Red adsorption by clay materials
- (2008) Vipasiri Vimonses et al. CHEMICAL ENGINEERING JOURNAL
- Photocatalytic degradation of indigo carmine in aqueous solution by TiO2-coated non-woven fibres
- (2007) N. Barka et al. JOURNAL OF HAZARDOUS MATERIALS
- Application of response surface methodology for optimization of lead biosorption in an aqueous solution by Aspergillus niger
- (2007) Malihe Amini et al. JOURNAL OF HAZARDOUS MATERIALS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started