A Raman-microfluidic system for single bacterium identification, and sorting, and its application in bacterial properties analysis

We built a Raman-Microfluidic system that can realize high-quality single bacterium identification and sorting. The Raman spectrum of a single bacterium can be detected stably and with high quality on the move. And a Raman spectral database of several bacterial species was preliminary established, which laid the foundation for the rapid bacterial identification. The establishment of our systems and databases is of great significance for rapid diagnosis of diseases and dynamic research on drug resistance.

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Publication Details

Journal
Analytica Chimica Acta
Published
2025-08-11
DOI
https://doi.org/10.1016/j.aca.2025.344530
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00

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article

A Raman-microfluidic system for single bacterium identification, and sorting, and its application in bacterial properties analysis

Weigang Ma, Yujing Bi, Xiang‐Qian Liu, Fengyi Li et al.
Analytica Chimica Acta
Bacterial Identification and Susceptibility Testing
article

A Raman-microfluidic system for single bacterium identification, and sorting, and its application in bacterial properties analysis

Weigang Ma, Yujing Bi, Xiang‐Qian Liu, Fengyi Li, Aoran Fan, Xing Zhang, Xiaoyu Zhang, Zixin Shu
article en

Abstract

We built a Raman-Microfluidic system that can realize high-quality single bacterium identification and sorting. The Raman spectrum of a single bacterium can be detected stably and with high quality on the move. And a Raman spectral database of several bacterial species was preliminary established, which laid the foundation for the rapid bacterial identification. The establishment of our systems and databases is of great significance for rapid diagnosis of diseases and dynamic research on drug resistance.

Analytica Chimica ActaVol. 1374
Academy of Military Medical Sciences (CN), Tsinghua University (CN)
China Association for Science and Technology, National Natural Science Foundation of China, Tsinghua University
Openalex Percentile: Top 76%
Bacterial Identification and Susceptibility Testing
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