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  • 标题:Optimization of Endosulfan Biodegradation Using Indigenous Bacterial Isolate Bacillus Aryabhatti Through Response Surface Methodology
  • 本地全文:下载
  • 作者:Geeta Negi ; Pankaj ; Anjana Srivastava
  • 期刊名称:Journal of Industrial Pollution Control
  • 印刷版ISSN:0970-2083
  • 出版年度:2016
  • 卷号:32
  • 期号:2
  • 页码:638-644
  • 语种:English
  • 出版社:Research and Reviews
  • 摘要:Endosulfan, a wide-spectrum organochlorine insecticide, is characterized by its toxicity to invertebrates, especially arthropods and medium persistence in the environment. It is considered a serious environmental pollutant and hazardous to human health. A bacterium (GBA) capable of metabolizing endosulfan was isolated from endosulfan contaminated agriculture field of Uttarakhand, India. The organism was characterized as sp. of Bacillus. 16S rDNA sequencing of GBA showed 99% similarity with Bacillus aryabhatti in the phylogenetic tree. Response Surface Methodology (RSM) was applied to optimize the significant variables for endosulfan degradation. R2 value were 0.9994 and 0.9957 for α and β-endosulfan respectively indicating that approximately 99% of responses 0.9669 were covered by the model. This experimental result explained that optimum degradation (83.7% and 79.8%) of endosulfan isomers (α and β) was observed by Bacillus aryabhatii at 30ºC, pH 7 and 120 rpm in 20days.
  • 关键词:Bacillus aryabhatti; Biodegradation; Endosulfan; RSM
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