Xuecheng Zhu, Jing Su, Yuzhen Wang, Dianwei Zhang, Huilin Liu
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引用次数: 0
Abstract
Introduction
The 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.
Objectives
The 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.
Methods
Histidine-rich short peptides were coordinated to Zn2+via noncovalent interactions to form blue-emitting PSA (B-PSA). Its fluorescence response to BA was investigated, revealing the mechanism of photo-induced electron transfer quenching. To enhance visualization, B-PSAs were co-encapsulated with red-emitting carbon dots in a stimuli-responsive hydrogel to generate white HDS. The semi-micro Kjeldahl method was applied as a control and validated by real-time monitoring using environmentally stored shrimp samples.
Results
B-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).
Conclusion
This 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.
期刊介绍:
Journal of Advanced Research (J. Adv. Res.) is an applied/natural sciences, peer-reviewed journal that focuses on interdisciplinary research. The journal aims to contribute to applied research and knowledge worldwide through the publication of original and high-quality research articles in the fields of Medicine, Pharmaceutical Sciences, Dentistry, Physical Therapy, Veterinary Medicine, and Basic and Biological Sciences.
The following abstracting and indexing services cover the Journal of Advanced Research: PubMed/Medline, Essential Science Indicators, Web of Science, Scopus, PubMed Central, PubMed, Science Citation Index Expanded, Directory of Open Access Journals (DOAJ), and INSPEC.