Journal
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
Volume 276, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2022.121217
Keywords
Raman spectroscopy; Single-cell bacterium; Metabolic activity; Carbon sources; Deuterium-labelling
Categories
Funding
- National Natural Science Foundation of China [3217161084]
- Guangzhou Key Laboratory for Intelligent Sensing and Quality Control of Agricultural Products [2020A1414010160]
- Guangdong Provincial Science and Technology Plan Projects [2020A1515010936]
- Guangdong Basic and Applied Basic Research Foundation [2019A050519001]
- Contemporary International Collaborative Research Centre of Guang-dong Province on Food Innovative Processing and Intelligent Control [2021KJ145]
- Common Technical Innovation Team of Guangdong Province on Preservation and Logistics of Agricultural Products [202102100009]
- China Scholarship Council [2018GXZ013425]
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In this study, Raman spectroscopy combined with deuterium labelling was used to analyze the metabolic activity of Escherichia coli cells. The method could semi-quantitatively determine total metabolic activity, macromolecule specific identification, and lipid and protein metabolism in a single cell.
Metabolic dynamics of bacterial cells is needed for understanding the correlation between changes in environmental conditions and cell metabolic activity. In this study, Raman spectroscopy combined with deuterium labelling was used to analyze the metabolic activity of a single Escherichia coli O157:H7 cell. The incorporation of deuterium from heavy water into cellular biomolecules resulted in the formation of carbon-deuterium (CD) peaks in the Raman spectra, indicating the cell metabolic activity. The broad vibrational peaks corresponding to CD and CH peaks encompassed different specific shifts of macromolecules such as protein, lipids, and nucleic acid. The utilization of tryptophan and oleic acid by the cell as the sole carbon source led to changes in cell lipid composition, as indicated by new peaks in the second derivative spectra. Thus, the proposed method could semi-quantitatively determine total metabolic activity, macromolecule specific identification, and lipid and protein metabolism in a single cell.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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