ReviewMycotoxin research2026
Mycotoxin detection in food and feed: bridging conventional analytical methods with emerging sensor-based technologies.
Review in Mycotoxin research, 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mycotoxins, a harmful secondary metabolite released by filamentous fungi, are a major and frequent contaminant of agricultural products. They pose a major threat to food and feed security, public health, and global trade. Major mycotoxins of interest include aflatoxins, ochratoxin A, trichothecenes, fumonisins, zearalenone, patulin, deoxynivalenol, and citrinin, are associated with severe toxicological effects such as hepatocarcinogenicity, nephrotoxicity, immunosuppression, and endocrine disruption. A wide range of analytical methods has been developed for their detection, ranging from conventional chromatographic and spectroscopic techniques to biosensors Although conventional techniques offer high accuracy and sensitivity, their dependence on costly instrumentation, lengthy analysis procedures, and specialized laboratory infrastructure limits their suitability for routine or field-level monitoring. To address these challenges, recent research has increasingly focused on sensor-based technologies, electrochemical, optical, piezoelectric, electronic-nose, and solid-state gas sensors, which offer rapid, portable, and cost-effective alternatives. This review not only synthesizes these advances but also introduces a distinctive emphasis on volatile organic compounds (VOCs) as emerging, non-invasive biomarkers for early fungal contamination detection, a perspective rarely highlighted in existing literature. Together, these developments offer promising pathways toward robust, real-time surveillance tools that strengthen food and feed safety. This review also discussed their applications, limitations, and future perspectives are also discussed.
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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.