Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy for the Rapid Determination of the Glutathione Redox Ratio

This work combine Surface Enhanced Raman Spectroscopy(SERS) and Machine learning algorithms for glutathione ratio determination.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-02
DOI
https://doi.org/10.5281/zenodo.12689401
Primary Topic
Sulfur Compounds in Biology
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy for the Rapid Determination of the Glutathione Redox Ratio

Zenodo (CERN European Organization for Nuclear Research)
Sulfur Compounds in Biology
article

Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy for the Rapid Determination of the Glutathione Redox Ratio

article en

Abstract

This work combine Surface Enhanced Raman Spectroscopy(SERS) and Machine learning algorithms for glutathione ratio determination.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 57%
Sulfur Compounds in Biology
DOIOpen Access PDFOpenAlex
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Machine Learning-Assisted Surface-Enhanced Raman Spectroscopy for the Rapid Determination of the Glutathione Redox Ratio · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS