Decoding the neural mechanisms of salty peptide perception via electroencephalography and machine learning.

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Title: Decoding the neural mechanisms of salty peptide perception via electroencephalography and machine learning.
Authors: Feng X; School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China; Shaanxi Agricultural Products Processing Technology Research Institute, Xi'an 710021, Shaanxi, China., Li H; School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China. Electronic address: hongbo715@163.com., Dai Q; Shaanxi Agricultural Products Processing Technology Research Institute, Xi'an 710021, Shaanxi, China; China Rural Technology Development Center, Beijing 100045, China., Li N; School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China; Engineering Research Center of Personalized Anti-aging Health Product Development and Transformation of Shaanxi Higher Education Institutes, Applied Research Institute of Life Sciences, Xi'an International University, Xi'an 710077, China., Zhao L; School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China., Liu Z; School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China; Shaanxi Agricultural Products Processing Technology Research Institute, Xi'an 710021, Shaanxi, China., Zhang J; School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China., Mo H; School of Food Science and Engineering, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, China.
Source: Food chemistry [Food Chem] 2026 Jul 15; Vol. 517, pp. 149460. Date of Electronic Publication: 2026 May 03.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 7702639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7072 (Electronic) Linking ISSN: 03088146 NLM ISO Abbreviation: Food Chem Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-7072
DOI:10.1016/j.foodchem.2026.149460