首页|期刊导航|未来食品学报(英文)|Machine learning combined with sensory evaluation and multi-sensor technology to evaluate the overall quality of commercial soybean paste in China

Machine learning combined with sensory evaluation and multi-sensor technology to evaluate the overall quality of commercial soybean paste in ChinaOA

Machine learning combined with sensory evaluation and multi-sensor technology to evaluate the overall quality of commercial soybean paste in China

Jinhui Jiang;Shuaiqi Ji;Guoyang Pan;Xinyu Tao;Feiyu An;Qu Liu;Junrui Wu;Rina Wu

College of Food Science,Shenyang Agricultural University,Shenyang 110866,China||Engineering Research Center of Food Fermentation Technology,Shenyang 110161,ChinaCollege of Food Science,Shenyang Agricultural University,Shenyang 110866,China||Engineering Research Center of Food Fermentation Technology,Shenyang 110161,ChinaCollege of Food Science,Shenyang Agricultural University,Shenyang 110866,China||Engineering Research Center of Food Fermentation Technology,Shenyang 110161,ChinaCollege of Food Science,Shenyang Agricultural University,Shenyang 110866,China||Engineering Research Center of Food Fermentation Technology,Shenyang 110161,ChinaCollege of Food Science,Shenyang Agricultural University,Shenyang 110866,China||Engineering Research Center of Food Fermentation Technology,Shenyang 110161,ChinaCollege of Food Science,Shenyang Agricultural University,Shenyang 110866,China||Engineering Research Center of Food Fermentation Technology,Shenyang 110161,ChinaCollege of Food Science,Shenyang Agricultural University,Shenyang 110866,China||Key Laboratory of Microbial Fermentation Technology Innovation,Shenyang 110866,ChinaCollege of Food Science,Shenyang Agricultural University,Shenyang 110866,China||Engineering Research Center of Food Fermentation Technology,Shenyang 110161,China

Soybean pasteSensory evaluationColorAromaTasteSensor detectionMachine learning

Soybean pasteSensory evaluationColorAromaTasteSensor detectionMachine learning

《未来食品学报(英文)》 2026 (4)

554-564,11

This work was supported by the National Natural Science Foundation of China(32572526),Liaoning Revitalization Talents Program(XLYC2402005XLYC2213026),Introduction of Talents(high-level)Research Start-up Fund Project of Shenyang Agricultural University(2023YJRC002),and the Shenyang Science and Technology Innovation Platform Project(21-103-0-1421-104-0-28).

10.1016/j.jfutfo.2025.04.015

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