Raman Spectroscopy and Random Forest for Chinese Baijiu Age Detection

We propose a method combining Raman spectroscopy and random forest for Chinese baijiu age detection, achieving 96% accuracy, highlighting its ability for rapid, non-invasive, and precise assessment of baijiu aging.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_at.2025.aa118_8
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
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article

Raman Spectroscopy and Random Forest for Chinese Baijiu Age Detection

Zhenhao Chen, Zhuangwei Shi, Jianchen Zi, Hai Bi
Spectroscopy and Chemometric Analyses
article

Raman Spectroscopy and Random Forest for Chinese Baijiu Age Detection

Zhenhao Chen, Zhuangwei Shi, Jianchen Zi, Hai Bi
article en

Abstract

We propose a method combining Raman spectroscopy and random forest for Chinese baijiu age detection, achieving 96% accuracy, highlighting its ability for rapid, non-invasive, and precise assessment of baijiu aging.

Openalex Percentile: Top 72%
Spectroscopy and Chemometric Analyses
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Raman Spectroscopy and Random Forest for Chinese Baijiu Age Detection — Zhenhao Chen, Zhuangwei Shi, et al. · (2025) | TGRS Research Map | TGRS