Work

Novel umami peptides from Takifugu rubripes muscle via virtual hydrolysis and screening strategy combined with sensory evaluation and biosensor

Year: 2025

Type: article

Abstract: A non-experimental approach based on protein sequences of Takifugu rubripes (a well-known fish for its umami taste) was initially employed using the Procleave database for virtual endogenous enzyme digestion, aimed at screening and identifying novel umami peptides. The potential umami peptides were screened through a dual-strategy approach combining sequence-based analysis and molecular docking techniques. Consequently, five umami peptides (FAGDDAPR, HEGEQGQEG, AAPHENATLH, ESHQQTLDD, GEVED) were selected, synthesized and subjected to comprehensive sensory evaluation, electronic tongue assessment and kinetic analysis using T1R1-VFT biosensor. Sensory evaluation demonstrated that these peptides exhibited low umami thresholds, ranging from 0.195 mmol/L to 0.281 mmol/L with primary binding sites at Asn150, Ser248, Arg151, Thr154, and Lys155 on the receptor. The kinetic analysis revealed a linear correlation between the kinetic values and peptide concentrations within the range of 10 -15 M-10 -5 M consistent with sensory evaluation results. Therefore, the virtual hydrolysis and screening strategies, designed for the rapid identification of novel umami peptides from Takifugu rubripes , emerges as a practicable and efficient means for rapid acquisition of peptides and the enrichment of umami peptides database.

Source: Journal of Future Foods

DOI: 10.1016/j.jfutfo.2025.01.002

Authors: Shengnan Wang, Chunyu Li, Zhiyong Cui, Wenli Wang, Yuan Liu

Institutions: Shanghai Jiao Tong University, Ningxia University

Language: English

Topic: Biochemical Analysis and Sensing Techniques

Subfield: Nutrition and Dietetics

Field: Nursing

Domain: Health Sciences

Open Access status: diamond

Funder: National Natural Science Foundation of China

Awards: G1343498073, G3246147678