Kumar, S and Gopinathan, R and Chandra, GK and Umapathy, S and Saini, DK (2020) Rapid detection of bacterial infection and viability assessment with high specificity and sensitivity using Raman microspectroscopy. In: Analytical and Bioanalytical Chemistry, 412 (11). pp. 2505-2516.
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Abstract
Infectious diseases caused by bacteria still pose major diagnostic challenges in spite of the availability of various molecular approaches. Irrespective of the type of infection, rapid identification of the causative pathogen with a high degree of sensitivity and specificity is essential for initiating appropriate treatment. While existing methods like PCR possess high sensitivity, they are incapable of identifying the viability status of the pathogen and those which can, like culturing, are inherently slow. To overcome these limitations, we developed a diagnostic platform based on Raman microspectroscopy, capable of detecting biochemical signatures from a single bacterium for identification as well as viability assessment. The study also establishes a decontamination protocol for handling live pathogenic bacteria which does not affect identification and viability testing, showing applicability in the analysis of sputum samples containing pathogenic mycobacterial strains. The minimal sample processing along with multivariate analysis of spectroscopic signatures provides an interface for automatic classification, allowing the prediction of unknown samples by mapping signatures onto available datasets. Also, the novelty of the current work is the demonstration of simultaneous identification and viability assessment at a single bacterial level for pathogenic bacteria. [Figure not available: see fulltext.]
| Item Type: | Journal Article |
|---|---|
| Publication: | Analytical and Bioanalytical Chemistry |
| Publisher: | Springer |
| Additional Information: | The copyright for this article belongs to the Springer. |
| Keywords: | Classification (of information); Diagnosis; Multivariant analysis; Raman spectroscopy; Spectroscopic analysis, Automatic classification; Degree of sensitivity; Multi variate analysis; Mycobacterium tuberculosis; Raman microspectroscopy; Simultaneous identification; Spectroscopic signatures; Viability assessment, Bacteria, bacterial infection; bacterium; chemistry; human; isolation and purification; procedures; Raman spectrometry; sensitivity and specificity; time factor, Bacteria; Bacterial Infections; Humans; Sensitivity and Specificity; Spectrum Analysis, Raman; Time Factors |
| Department/Centre: | Division of Biological Sciences > Molecular Reproduction, Development & Genetics Division of Biological Sciences > Centre for Infectious Disease Research Division of Chemical Sciences > Inorganic & Physical Chemistry Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics |
| Date Deposited: | 01 Feb 2023 08:44 |
| Last Modified: | 01 Feb 2023 08:44 |
| URI: | https://eprints.iisc.ac.in/id/eprint/79670 |
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