Machine learning-driven GC-MS analysis for assessing the contribution of amino acids in the flavor of cheese maturing at high temperature.
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| Title: | Machine learning-driven GC-MS analysis for assessing the contribution of amino acids in the flavor of cheese maturing at high temperature. |
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| Authors: | Hao X; College of Food Science and Engineering, Ocean University of China, Qingdao, 266000, China., Zou J; College of Food Science and Engineering, Ocean University of China, Qingdao, 266000, China., Zeng J; College of Food Science and Engineering, Ocean University of China, Qingdao, 266000, China., He J; Inner Mongolia National Center of Technology Innovation for Dairy, Hohhot, 150100, China., Li B; Inner Mongolia National Center of Technology Innovation for Dairy, Hohhot, 150100, China., Lin K; College of Food Science and Engineering, Ocean University of China, Qingdao, 266000, China., Yi H; College of Food Science and Engineering, Ocean University of China, Qingdao, 266000, China., Zhang L; College of Food Science and Engineering, Ocean University of China, Qingdao, 266000, China; Inner Mongolia National Center of Technology Innovation for Dairy, Hohhot, 150100, China. Electronic address: zhanglanwei@ouc.edu.cn., Gong P; College of Food Science and Engineering, Ocean University of China, Qingdao, 266000, China; Inner Mongolia National Center of Technology Innovation for Dairy, Hohhot, 150100, China. Electronic address: gongpimin@ouc.edu.cn. |
| Source: | International journal of food microbiology [Int J Food Microbiol] 2026 Mar 02; Vol. 448, pp. 111581. Date of Electronic Publication: 2025 Dec 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Science Publishers Country of Publication: Netherlands NLM ID: 8412849 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3460 (Electronic) Linking ISSN: 01681605 NLM ISO Abbreviation: Int J Food Microbiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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