ReviewFood chemistry: X2026
Emerging enzymatic modifications and AI-driven strategies for smart tailoring of taste characteristics in food-derived peptides: A review.
Review in Food chemistry: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Comprehensive metabolite profiling in fruits of differentFood chemistry: X · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food-derived peptides hold promise for food applications but are often limited by bitterness. Emerging enzymatic modification offers a novel strategy to improve sensory properties. This review aims to summarize the structural characteristics and taste-active properties of peptides and further highlights recent advances in enzymatic approaches for reducing bitterness and enhancing umami, saltiness and kokumi, combined with AI-assisted prediction and enzyme engineering. Peptide taste is governed by amino-acid composition, molecular conformation, and environmental factors; enzymatic modification alters composition and spatial structure to improve solubility and receptor interactions, thereby mitigating bitterness and enhancing umami, saltiness, and kokumi. Despite limitations in enzyme availability, efficiency, and scalability, advances in enzyme discovery and engineering support precise taste modulation for food application. The integration of AI and computer-assisted technologies has significantly advanced the smart tailoring and industrial application of taste-active peptides. This review provides a theoretical reference for enzymatic modifications and smart tailoring of taste-active peptides.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.