ReviewComprehensive reviews in food science and food safety2026
Recent Advances in Food Allergens and Emerging Biosensing Technologies.
Review in Comprehensive reviews in food science and food safety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Food allergies have become a worldwide public health issue, highlighting the critical need for rapid, sensitive, and field-deployable detection strategies. While traditional detection methods offer high accuracy, their high cost, operational complexity, and lengthy analysis time limit their applicability for rapid screening purposes. Emerging biosensing technologies offer innovative solutions. This review first outlined the characteristics of food allergens and conventional detection approaches and subsequently provided a systematic summary of recent developments in fluorescence, colorimetric, surface-enhanced Raman scattering, surface plasmon resonance, and electrochemical sensors, classified according to their signal transduction mechanisms. Furthermore, this review examined the underlying principles, signal amplification mechanisms, analytical performance, and practical validation of different sensor platforms in real-sample analysis. Current challenges include matrix interference, limited multiplexing, poor long-term stability, and the high cost of recognition elements. Future development directions encompass antifouling interfaces, high-throughput platforms, self-powered and wearable technologies, standardized evaluation frameworks, and artificial intelligence algorithms. This review aimed to offer both a theoretical framework and directional guidance to inform future studies and practical implementations of rapid food allergen detection technologies.
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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.