ReviewBiosensors2026
Application of Metal-Organic Framework-Based Electrochemiluminescence Sensors for Mycotoxin Detection in Food.
Review in Biosensors, 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
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Abstract
Mycotoxins are toxic secondary metabolites produced by filamentous fungi, which extensively contaminate agricultural products such as grains and nuts. Common mycotoxins, including aflatoxin B1, ochratoxin A, and deoxynivalenol, can induce liver cancer, kidney damage, neural tube defects, and immune suppression, necessitating highly sensitive detection methods to ensure food safety. Conventional techniques are limited by complex procedures and insufficient sensitivity. Electrochemiluminescence (ECL), owing to its high sensitivity, low background signal, and rapid response, has emerged as a promising strategy for mycotoxin analysis. In this context, metal-organic frameworks (MOFs), with their high surface area and tunable structures, have been widely employed in ECL sensors to improve sensing performance. This review summarizes the construction strategies of MOF-based ECL sensors, the diverse functional roles of MOFs in ECL sensing, the associated sensing mechanisms, and the applications of these sensors for the detection of mycotoxins in food. Current challenges, including material stability, sensor reproducibility, and practical applicability, are discussed, and future directions are outlined. Particular emphasis is placed on the development of stable MOF materials, their integration into portable and intelligent ECL sensing platforms, and the establishment of standardized and scalable production methods to enable practical food safety monitoring.
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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.