Evidence map›Paper›PMID 42279804›Full record

ArticleFoods (Basel, Switzerland)2026

Investigation on the Screening and Taste Mechanisms of Umami Peptides in Natural and Hydrolyzed Jinhua Ham.

Jing Cao, Yongxin Li, Hongang Tang, Huanhuan Li, Teng Xu, Ke Zhao, Jie Chen

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jing CaoSchool of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China.
Yongxin LiZhejiang Key Laboratory of Intelligent Food Logistic and Processing, Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Hongang TangZhejiang Key Laboratory of Intelligent Food Logistic and Processing, Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Huanhuan LiZhejiang Key Laboratory of Intelligent Food Logistic and Processing, Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Teng XuZhejiang Key Laboratory of Intelligent Food Logistic and Processing, Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Ke ZhaoZhejiang Key Laboratory of Intelligent Food Logistic and Processing, Institute of Food Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Jie ChenSchool of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China.ORCID 0000-0003-4943-6262

Funding

Jinhua Science and Technology Program Project 2023-2-028Team Science and Technology Commissioner Program of Zhejiang Province-Food pro-cessing 2025-2030
6 · The paper itself

Abstract

This study aimed to identify novel umami peptides from both natural and enzymatically hydrolyzed peptides from Jinhua ham, and to characterize their properties. Following LC-MS identification, known flavor sequences were annotated using a curated flavor-peptide database containing 2617 known flavor peptides, and potential novel umami peptides were screened through an integrated approach combining multiple machine learning models and LibDock molecular docking. From over 2000 identified peptides, this integrated virtual screening pipeline precisely yielded 10 candidate umami peptides, which were confirmed to possess distinct umami characteristics by sensory evaluation and electronic tongue analysis. These peptides had umami intensities ranging from 2.87 ± 1.38 to 3.90 ± 1.56 and significantly lower taste thresholds (0.1109-0.2634 mg/mL) than that of monosodium glutamate (MSG, 0.3 mg/mL). Subsequent CDOCKER analysis demonstrated significantly stronger binding affinity and stability of these peptides to the T1R1/T1R3 receptor compared with MSG, with -CDOCKER ENERGY values of 78.45-94.95 and -CDOCKER INTERACTION ENERGY values of 56.67-86.71, both significantly higher than those of MSG (22.27 and 46.58, respectively). Hydrogen bonds were identified as the dominant binding force, accounting for over 66% of total interactions, and HIS145 and ARG247 were confirmed as the key residues maintaining the stability of the peptide-receptor complex. Overall, these findings provide mechanistic insight into the umami properties of Jinhua ham peptides and support their potential application in food processing.

Indexed as

Jinhua hammolecular dockingsensory evaluationT1R1/T1R3umami peptides

Identifiers

PMID42279804
PMCPMC13256520

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