This research concentrated on soybean paste fermented with Tetragenococcus halophilus, employing peptidomics and machine learning methodologies to screen for novel umami peptides. Taste characteristics of umami peptides were evaluated through sensory evaluation and electronic tongue analysis. The mechanism of taste presentation of the umami peptides was investigated through T1R1/T1R3 molecular docking techniques. Four peptides were identified: LLYGKVVKKT, DKKVSVGT, TRKQALLN, and QKNSHQ, with umami thresholds ranging from 0.02 to 0.14 mmol/L. Hydrogen bonds and electrostatic interactions are the key forces between umami peptides and receptors, and the length of hydrogen bonds is between 2.94 and 3.30 Å. Molecular docking analyses revealed that electrostatic and hydrogen bonding interactions are crucial, with ARG 248 and ALA 282 serving as key binding sites on T1R1 and T1R3 receptors, significantly influencing umami intensity. These findings aid in further understanding the flavor properties of umami peptides in soybean paste.
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http://dx.doi.org/10.1016/j.foodchem.2025.143621 | DOI Listing |
Food Funct
March 2025
Key Laboratory for Food Microbial Technology of Zhejiang Province, College of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, Zhejiang 310018, People's Republic of China.
Umami and bitter peptides generated by microbial metabolism are essential to the taste of low-salt fish sauce. However, the uncertain taste mechanisms of peptides hinder the efficient identification of high-intensity taste peptides in fish sauce. Our study investigated the taste mechanisms of umami or bitter peptides from low-salt fish sauce fermented with .
View Article and Find Full Text PDFFood Chem
March 2025
Food Microbiology Key Laboratory of Sichuan Province, Chongqing Key Laboratory of Speciality Food Co-Built by Sichuan and Chongqing, Xihua University, No.999 Guangchang Road, Chengdu 610039, China. Electronic address:
Pixian Doubanjiang (PXDB)'s distinctive umami profile is primarily attributed to its unique peptides; however, their structural characteristics, sensory mechanisms, and biosynthetic pathways during aging remain poorly understood. This study employed a machine learning-based approach to investigate umami peptides in 1-2 year aged PXDB. We identified 117 peptides, predicting 69 with umami potential.
View Article and Find Full Text PDFFood Chem
March 2025
National R&D Center for Marine Fish Processing, Zhejiang Key Laboratory of Food Microbiology and Nutritional Health, Institute of Seafood, Zhejiang Gongshang University, Hangzhou 310018, China. Electronic address:
In this study, the preliminary exploration of cross-modal correspondence between visual information and umami taste was performed. To investigate the relationship between color and perception of umami, the hydrolysates of salmon head was identified as a case study. Nine novel umami peptides were identified and screened from 833 peptides by using UPLC-MS/MS combined with iUmami-SCM and UMPred-FRL protocols.
View Article and Find Full Text PDFBiosens Bioelectron
March 2025
Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, 200240, China; School of Food Science and Engineering, Ningxia University, Yinchuan, 750021, China. Electronic address:
Synergistic effect is one of the main properties of umami substances, as a new natural umami agent, umami peptide synergy has not been systematically explored. Presently, conventional methods relying on human sensory evaluation and intelligent instrument analysis pose challenges due to their time-consuming and lack of high throughput. This research provides a detailed molecular-level understanding of multiple umami peptides interact with T1R1-VFT simultaneous, revealing that multiple umami peptides promotes stronger binding affinity and more effective receptor activation (from -7.
View Article and Find Full Text PDFFood Chem
February 2025
College of Food Science, Shenyang Agricultural University, Shenyang 110866, PR China; Liaoning Provincial Engineering Research Center of Food Fermentation Technology, Shenyang 110866, PR China.
This research concentrated on soybean paste fermented with Tetragenococcus halophilus, employing peptidomics and machine learning methodologies to screen for novel umami peptides. Taste characteristics of umami peptides were evaluated through sensory evaluation and electronic tongue analysis. The mechanism of taste presentation of the umami peptides was investigated through T1R1/T1R3 molecular docking techniques.
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