Literature DB >> 34251940

Recent developments in Raman spectral analysis of microbial single cells: Techniques and applications.

Heera Jayan1,2,3, Hongbin Pu1,2,3, Da-Wen Sun1,2,3,4.   

Abstract

The conventional microbial cell analyses are mostly population-averaged methods that conceal the characteristics of single-cell in the community. Single-cell analysis can provide information on the functional and structural variation of each cell, resulting in the elimination of long and tedious microbial cultivation techniques. Raman spectroscopy is a label-free, noninvasive, and in-vivo method ideal for single-cell measurement to obtain spatially resolved chemical information. In the current review, recent developments in Raman spectroscopic techniques for microbial characterization at the single-cell level are presented, focusing on Raman imaging of single cells to study the intracellular distribution of different components. The review also discusses the limitation and challenges of each technique and put forward some future outlook for improving Raman spectroscopy-based techniques for single-cell analysis. Raman spectroscopic methods at the single-cell level have potential in precision measurements, metabolic analysis, antibiotic susceptibility testing, resuscitation capability, and correlating phenotypic information to genomics for cells, the integration of Raman spectroscopy with other techniques such as microfluidics, stable isotope probing (SIP), and atomic force microscope can further improve the resolution and provide extensive information. Future focuses should be given to advance algorithms for data analysis, standardized reference libraries, and automated cell isolation techniques in future.

Entities:  

Keywords:  Raman spectroscopy; Single-cell analysis; atomic force microscope; microfluidics; microorganisms; stable isotope probing

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Substances:

Year:  2021        PMID: 34251940     DOI: 10.1080/10408398.2021.1945534

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  3 in total

1.  Detection of Bioactive Metabolites in Escherichia Coli Cultures Using Surface-Enhanced Raman Spectroscopy.

Authors:  Heera Jayan; Hongbin Pu; Da-Wen Sun
Journal:  Appl Spectrosc       Date:  2022-03-25       Impact factor: 3.588

Review 2.  Machine Learning-Driven Multiobjective Optimization: An Opportunity of Microfluidic Platforms Applied in Cancer Research.

Authors:  Yi Liu; Sijing Li; Yaling Liu
Journal:  Cells       Date:  2022-03-05       Impact factor: 6.600

Review 3.  Living Sample Viability Measurement Methods from Traditional Assays to Nanomotion.

Authors:  Hamzah Al-Madani; Hui Du; Junlie Yao; Hao Peng; Chenyang Yao; Bo Jiang; Aiguo Wu; Fang Yang
Journal:  Biosensors (Basel)       Date:  2022-06-24
  3 in total

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