ReviewNanomaterials (Basel, Switzerland)2021
Carbon-Based Nanocomposite Smart Sensors for the Rapid Detection of Mycotoxins.
Review in Nanomaterials (Basel, Switzerland), 2021. 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, 26 citations in OpenAlex.
- One Health perspective on mycotoxins in poultry production: Ecology, toxicological effects, occupational and environmental exposure, food safety risks, and mitigation strategies (2020-2025).Veterinary world · 2026Review
- Application of Molecularly Imprinted Polymers as Separation Tools for Determination of Aflatoxins in Food.Journal of food science · 2025Review
- Carbon Nanomaterial Fluorescent Probes and Their Biological Applications.Chemical reviews · 2024Review
- Nanoscale Materials Applying for the Detection of Mycotoxins in Foods.Foods (Basel, Switzerland) · 2023Review
- Recent Advances in Recognition Receptors for Electrochemical Biosensing of Mycotoxins-A Review.Biosensors · 2023Review
- Recent trends in analysis of mycotoxins in food using carbon-based nanomaterials.Journal of food and drug analysis · 2022Review
- Construction of Electrochemical Sensors for Antibiotic Detection Based on Carbon Nanocomposites.Nanomaterials (Basel, Switzerland) · 2022Review
- Recent Advances of Nanomaterials-Based Molecularly Imprinted Electrochemical Sensors.Nanomaterials (Basel, Switzerland) · 2022Review
- How the Physicochemical Properties of Manufactured Nanomaterials Affect Their Performance in Dispersion and Their Applications in Biomedicine: A Review.Nanomaterials (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Carbon-based nanomaterials have become the subject of intensive interest because their intriguing physical and chemical properties are different from those of their bulk counterparts, leading to novel applications in smart sensors. Mycotoxins are secondary metabolites with different structures and toxic effects produced by fungi. Mycotoxins have low molecular weights and highly diverse molecular structures, which can induce a spectrum of biological effects in humans and animals even at low concentrations. A tremendous amount of biosensor platforms based on various carbon nanocomposites have been developed for the determination of mycotoxins. Therefore, the contents of this review are based on a balanced combination of our own studies and selected research studies performed by academic groups worldwide. We first address the vital preparation methods of biorecognition unit (antibodies, aptamers, molecularly imprinted polymers)-functionalized carbon-based nanomaterials for sensing mycotoxins. Then, we summarize various types of smart sensors for the detection of mycotoxins. We expect future research on smart sensors to show a significant impact on the detection of mycotoxins in food products.
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.