ArticleNPJ science of food2024
A multiplex microarray lateral flow immunoassay device for simultaneous determination of five mycotoxins in rice.
Article in NPJ science of food, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Engineering a High-Affinity Monoclonal Antibody for Thiram Immunoassays and Protection.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Uncovering Analytical Patterns for Hazardous Components in Agricultural Production Systems.Foods (Basel, Switzerland) · 2025Review
- Development of a Multiplex Lateral Flow Immunoassay for the Detection of Antibiotics in Milk Utilizing Lyophilized Gold Nanoparticle Conjugates.Biosensors · 2025Article
- Dual-Mode Microfluidic Workstation for Rapid Detection of Multiple Mycotoxins on Chip.Foods (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Co-occurrence of multiple mycotoxins is a growing global food safety concern due to their harmful effects on humans and animals. This study developed an eco-friendly sample preparation method and an innovative multiplex microarray-based lateral flow immunoassay, using a novel portable reader for on-site simultaneous determination of five regulated mycotoxins-aflatoxin B
Identifiers
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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.