Evidence map›Paper›PMID 41352477›Full record

ArticleJournal of advanced research2026

Aromatic short peptide-metal nanoassemblies in smart hydrogel sensors for real-time food freshness monitoring.

Xuecheng Zhu, Jing Su, Yuzhen Wang, Dianwei Zhang, Huilin Liu

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Article in Journal of advanced research, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xuecheng ZhuKey Laboratory of Digital-Intelligence and Dynamic Perception for Food Quality of China Light Industry, Beijing Technology and Business University, Beijing 100048, PR China.
Jing SuKey Laboratory of Digital-Intelligence and Dynamic Perception for Food Quality of China Light Industry, Beijing Technology and Business University, Beijing 100048, PR China.
Yuzhen WangKey Laboratory of Digital-Intelligence and Dynamic Perception for Food Quality of China Light Industry, Beijing Technology and Business University, Beijing 100048, PR China.
Dianwei ZhangKey Laboratory of Digital-Intelligence and Dynamic Perception for Food Quality of China Light Industry, Beijing Technology and Business University, Beijing 100048, PR China.
Huilin LiuKey Laboratory of Digital-Intelligence and Dynamic Perception for Food Quality of China Light Industry, Beijing Technology and Business University, Beijing 100048, PR China. Electronic address: liuhuilin@btbu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe accumulation of volatile biogenic amines (BAs) during food spoilage constitutes a global economic and public health burden. Conventional BA detection methods based on chromatography and electrochemistry are limited by expensive instrumentation and specialized procedures, making on-site monitoring difficult for supply chain personnel and consumers. The lack of portable, user-friendly sensing technologies for complex food matrices leaves a technological gap for real-time spoilage monitoring.

objectivesThe aim of this study is to develop a hydrogel digital sensor (HDS) based on peptide self-assemblies (PSAs) for visual on-demand BA detection. Quantification of spoilage by smartphone analysis and validation of its efficacy in real-time freshness assessment of meat.

methodsHistidine-rich short peptides were coordinated to Zn

resultsB-PSAs exhibited bright blue fluorescence with quantum yield up to 63 % and selective quenching in the presence of BAs (detection limit: 0.784-3.752 ppm, response time < 60 s). HDS showed a clear white to red fluorescence color transition upon exposure to BAs, enabling quantitative analysis in RGB chromaticity space, with a response range that covered all freshness grades in the national standard. Real-time validation in meat samples confirmed strong correlation with the standard TVBN assay (Pearson coefficient: 0.97).

conclusionThis HDS combines a molecular level design with a user-friendly digital readout to provide a biocompatible, portable, low-cost and rapid spoilage detection platform. The system is expected to improve the efficiency of food supply chain management and provide consumers with a convenient freshness assessment tool.

Indexed as

Biogenic AminesBiosensing TechniquesFood AnalysisHydrogelsPeptidesAnimalsMeatSmartphoneBiogenic AminesHydrogelsPeptidesBiocompatible short peptidesFluorescent nanoprobesFood freshness predictionHydrogel sensorsPortable analysis

Identifiers

PMID41352477
PMCPMC13539324

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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.