食品科学2026，Vol.47Issue(2)：347-356,10.DOI:10.7506/spkx1002-6630-20250722-181
机器学习在酱卤肉制品质量控制中的研究与应用
Research and Application of Machine Learning in the Quality Control of Soy Sauce and Pot-Roast Meat Products
摘要
Abstract
The growing food industry has led to the continuous expansion of the market of soy sauce and pot-roast meat products.However,traditional quality control methods have inherent limitations such as strong subjectivity,low efficiency,and poor predictability in areas including raw material selection,processing techniques,and flavor analysis,which severely restrict the high-quality development of the soy sauce and pot-roasted meat products industry.Machine learning,as an advanced data analysis and modeling technique,offers new solutions to these challenges.Against this background,this review discusses the application of machine learning in the quality control of soy sauce and pot-roast meat products,focusing on the assessment of raw meat freshness,analysis of processing suitability,selection and blending of spices,optimization of processing techniques,standardization of flavor prediction,quality grading based on data fusion,and shelf-life prediction.It also explores the current challenges and future trends in order to provide a technical reference for the quality control of soy sauce and pot-roast meat products.关键词
机器学习/酱卤肉制品/质量/风味/预测/控制Key words
machine learning/soy sauce and pot-roast meat products/quality/flavor/prediction/control分类
轻工纺织引用本文复制引用
李青,李宛玲,刘思露,孙健,徐幸莲,王虎虎..机器学习在酱卤肉制品质量控制中的研究与应用[J].食品科学,2026,47(2):347-356,10.基金项目
新疆特色烤卤鸡工业转换技术研发与产业化示范项目(2023B02033) （2023B02033）
马肉马脂高附加值产品研发及品质提升项目(2024B02013-3-2-2) （2024B02013-3-2-2）
