Food and Fermentation Industries >

2026 , Vol. 52 >Issue 11: 339 - 345

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.044417

Rapid identification of Qingke liquor based on Bayesian algorithm-optimized transformer combined with bidirectional gated recurrent unit

  • XU Shiyong ,
  • ZHANG Shizhi ,
  • SHI Ting ,
  • ZHANG Mingjin
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  • 1(College of Chemistry and Chemical Engineering, Qinghai Normal University, Xining 810016, China)
    2(School of Chemistry and Materials Science, Qinghai Minzu University, Xining 810007, China)

Received date: 2025-09-03

  Revised date: 2025-10-28

  Online published: 2026-06-24

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Abstract

In response to the phenomenon of adulteration in the market of liquor, the search for rapid, non-destructive and scientific methods for identifying the quality of liquor has become one of the research hotspots in the relevant fields.This study aims to quickly identify the “Chinese Huzhu Qingke Liquor” (CHQL), a product protected by geographical indication in our country.Three types of liquor samples, namely CHQL, other brand Qingke Liquor (OBQL), and non-Qingke based Baijiu (NQBB), were collected.The spectral characteristics of these three types of liquor were studied using UV-near-infrared fusion spectroscopy.An attempt was made to establish a rapid identification method for CHQL.Firstly, the UV spectra and near-infrared spectra of the samples were collected, and the spectra were fused at the data level.Then, four preprocessing methods (standard normal transformation, Savitzky-Golay smoothing, first-order derivative, and second-order derivative) and three classification models (BiGRU, Bayes-BiGRU, Bayes-Transformer-BiGRU) were respectively examined for the identification effect of CHQL.The results show that the data obtained after second-order derivative preprocessing combined with Bayes-Transformer-BiGRU has the best classification recognition effect, with classification accuracy of 94.12%, response time of 492.89 seconds, and PAM of 0.87.This indicates that Bayes-Transformer-BiGRU combined with UV-NIR fusion spectroscopy can quickly, non-destructively and accurately distinguish CHQL.

Key words： Chinese Huzhu Qingke liquor; bidirectional gated recurrent unit(BiGRU); Transformer; bayesian optimization

Cite this article

XU Shiyong , ZHANG Shizhi , SHI Ting , ZHANG Mingjin . Rapid identification of Qingke liquor based on Bayesian algorithm-optimized transformer combined with bidirectional gated recurrent unit[J]. Food and Fermentation Industries, 2026 , 52(11) : 339 -345 . DOI: 10.13995/j.cnki.11-1802/ts.044417

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