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Detection of Bioactive Metabolites in Escherichia Coli Cultures Using Surface-Enhanced Raman Spectroscopy.
Jayan, Heera; Pu, Hongbin; Sun, Da-Wen.
Affiliation
  • Jayan H; School of Food Science and Engineering, 26467South China University of Technology, Guangzhou, China.
  • Pu H; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Center, Guangzhou, China.
  • Sun DW; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangz
Appl Spectrosc ; 76(7): 812-822, 2022 Jul.
Article in En | MEDLINE | ID: mdl-35255717
ABSTRACT
Detection of bioactive metabolites produced by bacteria is important for identifying biomarkers for infectious diseases. In this study, a surface-enhanced Raman spectroscopy (SERS)-based technique was developed for the detection of bioactive metabolite indole produced by Escherichia coli (E. coli) in biological media. The use of highly sensitive Au@Ag core-shell nanoparticles resulted in the detection of indole concentration as low as 0.0886 mM in standard solution. The supplementation of growth media with 5 mM of exogenous tryptophan resulted in the production of a maximum yield of indole of 3.139 mM by E. coli O157H7 at 37 °C. The growth of bacterial cells was reduced from 47.73 × 108 to 1.033 × 106 CFU/mL when the cells were grown in 0 and 10 mM exogenous tryptophan, respectively. The amount of indole in the Luria-Bertani (LB) media had an inverse correlation with the growth of cells, which resulted in a three-log reduction in the colony-forming unit when the indole concentration in the media was 20 times higher than normal. This work demonstrates that SERS is an effective and highly sensitive method for rapid detection of bioactive metabolites in biological matrix.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Escherichia coli O157 / Nanoparticles Type of study: Diagnostic_studies Language: En Journal: Appl Spectrosc Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Escherichia coli O157 / Nanoparticles Type of study: Diagnostic_studies Language: En Journal: Appl Spectrosc Year: 2022 Document type: Article Affiliation country: China