食品科学2024，Vol.45Issue(10)：28-37,10.DOI:10.7506/spkx1002-6630-20231123-181
机器学习在食品风味领域的研究进展与未来趋势
Research Progress and Future Trends of Machine Learning in the Field of Food Flavor
摘要
Abstract
With the continuous improvement of living standards,people are concerned about not only whether foods are tasty or not,but also the combination of health elements and good flavor.Food flavor components are not only important factors in sensory quality,but also key indicators of the nutritional level of foods.At present,the traditional methods to evaluate and predict food flavor components are time-consuming and labor-intensive,and unable to handle large amounts of data.In contrast,machine learning(ML),the core of artificial intelligence,has incomparable advantages over traditional analytical techniques in distinguishing differences and finding commonalities,and has found good application in the field of food flavor analysis.In this context,this paper focuses on the current research status of ML in the field of food flavor,and introduces the principles and advantages of commonly used ML methods,as well as their latest applications and prospects in food flavor prediction and regulation.It also focuses on the advantages and future trends of modern intelligent sensory evaluation techniques combined with ML in the field of food flavor analysis,with a view to providing new ideas and theoretical foundations for food flavor analysis and prediction.关键词
机器学习/食品风味/风味分析与预测/智能感官检测技术/研究进展Key words
machine learning/food flavor/flavor analysis and prediction/intelligent sensory evaluation techniques/research progress分类
农业科学引用本文复制引用
陈靓,阳佳红,田星..机器学习在食品风味领域的研究进展与未来趋势[J].食品科学,2024,45(10):28-37,10.基金项目
湖南省自然科学基金面上项目(2023JJ30445) （2023JJ30445）
湖南省教育厅优秀青年项目(22B0378) （22B0378）
湖南省中医药大学"双一流"建设学科"揭榜挂帅"项目(22JB2053) （22JB2053）
湖南省中医药管理局科研项目(B2024012) （B2024012）
