食品科学2026，Vol.47Issue(9)：360-369,10.DOI:10.7506/spkx1002-6630-20251031-238
光谱智能分析技术在白酒生产中的应用研究进展
Research Progress on the Application of Intelligent Spectroscopic Techniques in Baijiu Production
摘要
Abstract
Spectroscopic techniques have been widely applied in the field of microbial fermentation owing to their rapidity,non-invasiveness,and real-time monitoring capability.As a representative fermented beverage,Baijiu requires the accurate quantification of critical components throughout its brewing process,which is crucial for quality assurance and the optimization of production parameters.Recent rapid advancements in artificial intelligence(AI)have provided powerful computational tools for enhancing spectroscopic data processing.This review systematically outlines the fundamental principles and application scenarios of spectroscopic techniques,with a specific focus on the application of machine learning and deep learning algorithms for spectral interpretation.Furthermore,it synthesizes recent developments in integrated AI-driven multi-spectral analysis for the dynamic monitoring of the Baijiu fermentation process,the assessment of microbial metabolic activity,the quality control of fermentation products,and the vintage traceability of Baijiu.Recent studies have covered the detection of key links in the production of Baijiu such as raw materials,Jiuqu(starter culture),pit mud,fermented grains,and finished products,thereby establishing a systematic framework for the application of intelligent spectroscopic techniques in Baijiu fermentation and providing scientific support for the intelligent development of the Baijiu industry.关键词
光谱分析/人工智能算法/白酒生产/质量控制/过程监测Key words
spectroscopic analysis/artificial intelligence algorithms/Baijiu production/quality control/process monitoring分类
轻工纺织引用本文复制引用
陈泽燕,贾俊杰,杨阳,沈希,李姝,黄敏,李思璇,陈峙霖,王松涛,周嘉裕..光谱智能分析技术在白酒生产中的应用研究进展[J].食品科学,2026,47(9):360-369,10.基金项目
中国博士后科学基金资助项目(2022M721448) （2022M721448）
泸州市科技计划项目(2024RQN218) （2024RQN218）
