ReviewJournal of fungi (Basel, Switzerland)2025
Silent Saboteurs: Decoding Mycotoxins-From Chemistry and Prevalence to Health Risks, Detection, Management and Emerging Frontiers.
Review in Journal of fungi (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sustainable smart sensing and AI-driven platforms for real-time detection and monitoring of mycotoxins across the food supply chain.Mycotoxin research · 2026Pooled it
- Aflatoxin exposure and health impacts: global burden and advances in detection technologies.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Mycotoxins, toxic secondary metabolites produced by filamentous fungi, pose significant threats to global food safety, public health, and agricultural sustainability. This review summarizes the classification, biosynthesis, chemistry, and mechanisms of action of these compounds, and highlights their global prevalence and the serious health consequences of both acute and chronic exposure. Despite decades of research, substantial gaps remain in effective surveillance, prevention, and risk management. Traditional control and detection strategies, although valuable, are often limited by their sensitivity, high costs, and inadequate field applicability. Addressing these gaps, this review emphasizes the potential of emerging technologies, particularly the integration of artificial intelligence (AI) and machine learning (ML) with advanced sensing platforms, to revolutionize mycotoxin detection. These innovations offer enhanced precision, real-time monitoring, and predictive modelling capabilities, paving the way for proactive food safety systems. By critically evaluating current knowledge and exploring future-oriented solutions, this review highlights the urgent need for interdisciplinary approaches that integrate molecular insights, biotechnological advancements, and digital technologies. Finally, we emphasize that adopting these novel strategies is essential to overcoming the silent yet profound global impact of mycotoxins.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.