ReviewBiosensors2023
Recent Progress in Electrochemical Nano-Biosensors for Detection of Pesticides and Mycotoxins in Foods.
Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Recent advances in multidimensionally regulated nanozyme-integrated biosensors for rapid and ultrasensitive foodborne mycotoxin detection.Archives of toxicology · 2026Review
- Nanotechnological applications of marine algae derived neurotoxins spanning harmful algal blooms and therapeutic innovations.Discover nano · 2026Review
- Nanotechnology in aflatoxin management: emerging tools for rapid detection and post-harvest control in grains.World journal of microbiology & biotechnology · 2026Review
- Aptamer discovery via GO-SELEX and GrNP-SELEX for monocrotophos and its comparative analysis.Mikrochimica acta · 2026Article
- Phosphorene based nano-sensors for mycotoxins in food products: a review.Mycotoxin research · 2026Review
- The Application of Nanomaterials in the Detection of Liver Cancer Biomarkers.International journal of nanomedicine · 2026Review
- Portable Thiocholine-Based Sensor for Monitoring Blood Cholinesterase Activity and Detecting Organophosphate and Carbamate Pesticides Using Personal Glucose Meters.Foods (Basel, Switzerland) · 2025Article
- Pesticide biosensors: trends and progresses.Analytical and bioanalytical chemistry · 2023Review
- Multivariate Optimization of Electrochemical Biosensors for the Determination of Compounds Related to Food Safety-A Review.Biosensors · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Pesticide and mycotoxin residues in food are concerning as they are harmful to human health. Traditional methods, such as high-performance liquid chromatography (HPLC) for such detection lack sensitivity and operation convenience. Efficient, accurate detection approaches are needed. With the recent development of nanotechnology, electrochemical biosensors based on nanomaterials have shown solid ability to detect trace pesticides and mycotoxins quickly and accurately. In this review, English articles about electrochemical biosensors in the past 11 years (2011-2022) were collected from PubMed database, and various nanomaterials are discussed, including noble metal nanomaterials, magnetic metal nanoparticles, metal-organic frameworks, carbon nanotubes, as well as graphene and its derivatives. Three main roles of such nanomaterials in the detection process are summarized, including biomolecule immobilization, signal generation, and signal amplification. The detection targets involve two types of pesticides (organophosphorus and carbamate) and six types of mycotoxins (aflatoxin, deoxynivalenol, zearalenone, fumonisin, ochratoxin A, and patulin). Although significant achievements have been made in the evolution of electrochemical nano-biosensors, many challenges remain to be overcome.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.