ReviewJournal of advanced research2022
Guarding food safety with conventional and up-conversion near-infrared fluorescent sensors.
Review in Journal of advanced research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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.
- Research Progress on the Application of Upconversion Nanoparticles in Heavy Metal Detection in Foodstuff.Foods (Basel, Switzerland) · 2025Review
- A Switchable Fluorescent Sensor Based on NHJournal of fluorescence · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcknowledged by the World Health Organisation (WHO), over 200 diseases ranging from mild to fatal are linked to the consumption of food products subjected to physical, chemical, or biological contamination. Nevertheless, conventional methods commonly used for the identification of health hazards in foodstuffs have problems coping with the sensitivity requirements imposed by latest-hour regulations in the field. Additionally, their use and availability is wildly limited by aspects such as instrument dimension, prohibitive costs, detection complexity and required operational knowledge. AIM OF REVIEW: This review provides an overview of recent efforts that have focused on the assesment of food contamination based on near infrared (NIR) photoluminescent sensors. Important endeavors that have targeted the precise detection of various inorganic and organic contaminants, including hydrogen sulfide, cyanide anions, mycotoxins, antibiotic residues, etc., are presented and relevant challenges that lie en route as stumbling blocks for such sensors to reach the next level of maturity and to become more available, are systematically discussed and enunciated. KEY SCIENTIFIC CONCEPTS OF REVIEW: Ingenious food contamination sensors that rely on conventional or up-conversion photoluminescence in the NIR region represent an emerging topic. To date, such sensors have been demonstrated as promising detection candidates, possessing important advantages such as: high efficiency, facile implementation, and convenient flexibility, thereby promising significant contributions to expand the current state of the art in food security.
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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.