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Application of genetically engineered microbial whole-cell biosensors for combined chemosensing.
He, Wei; Yuan, Sheng; Zhong, Wen-Hui; Siddikee, Md Ashaduzzaman; Dai, Chuan-Chao.
Afiliação
  • He W; College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China.
  • Yuan S; College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China.
  • Zhong WH; College of Geography Sciences, Nanjing Normal University, Nanjing, 210023, China.
  • Siddikee MA; Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, 1207, Bangladesh.
  • Dai CC; College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China. daichuanchao@njnu.edu.cn.
Appl Microbiol Biotechnol ; 100(3): 1109-1119, 2016 Feb.
Article em En | MEDLINE | ID: mdl-26615397
ABSTRACT
The progress of genetically engineered microbial whole-cell biosensors for chemosensing and monitoring has been developed in the last 20 years. Those biosensors respond to target chemicals and produce output signals, which offer a simple and alternative way of assessment approaches. As actual pollution caused by human activities usually contains a combination of different chemical substances, how to employ those biosensors to accurately detect real contaminant samples and evaluate biological effects of the combined chemicals has become a realistic object of environmental researches. In this review, we outlined different types of the recent method of genetically engineered microbial whole-cell biosensors for combined chemical evaluation, epitomized their detection performance, threshold, specificity, and application progress that have been achieved up to now. We also discussed the applicability and limitations of this biosensor technology and analyzed the optimum conditions for their environmental assessment in a combined way.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Técnicas Biossensoriais / Poluentes Ambientais Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Técnicas Biossensoriais / Poluentes Ambientais Idioma: En Ano de publicação: 2016 Tipo de documento: Article