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Foods
Special Issues
Food Safety Detection Analysis and Sensors
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Food Safety Detection Analysis and Sensors

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Analytical Methods".

Deadline for manuscript submissions: 30 December 2024 | Viewed by 642

Special Issue Editor

Dr. Xiangmei Li

E-Mail Website
Guest Editor
College of Food Science, South China Agricultural University, Guangzhou 510642, China
Interests: food analysis; immunoassay; antibody engineering; hapten design; biosensor; food safety; nanomaterials
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Food safety is an important interdisciplinary field that studies the processes of food processing, storage, and sales to ensure food hygiene and safety, reduce disease risks, and prevent food poisoning. Food safety detection is the last line of defense to ensure food safety. Food safety is influenced by various factors, including environmental factors, chemical factors, and biological factors. It is very important to establish fast food safety detection sensors to address these influencing factors. Among them are sensors based on biological or chemical core components such as antibodies, nucleic acid aptamers, and molecularly imprinted polymers, combined with various new nanomaterials such as MOFs, MXenes, aggregation-induced luminescent materials, etc. Establishing sensitive and rapid sensors for various chemical or biological pollutants such as pesticides, veterinary drugs, mycotoxins, illegal additives, harmful heavy metals, foodborne pathogenic microorganisms, etc., integrating them with portable intelligent quantitative detection equipment, and applying them to the rapid determination of food safety are currently hot topics of research.

Dr. Xiangmei Li
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Foods is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • food safety
  • rapid detection
  • sensor
  • immunoassay
  • nanomaterials
  • veterinary medicine
  • pesticide
  • mycotoxins
  • heavy metal
  • foodborne microorganisms
  • illegal additives

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Published Papers (1 paper)

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Research

18 pages, 3374 KiB  
Article
Prussian-Blue-Nanozyme-Enhanced Simultaneous Immunochromatographic Control of Two Relevant Bacterial Pathogens in Milk
by Olga D. Hendrickson, Nadezhda A. Byzova, Boris B. Dzantiev and Anatoly V. Zherdev
Foods 2024, 13(19), 3032; https://doi.org/10.3390/foods13193032 - 24 Sep 2024
Viewed by 446
Abstract
Salmonella typhimurium and Listeria monocytogenes are relevant foodborne bacterial pathogens which may cause serious intoxications and infectious diseases in humans. In this study, a sensitive immunochromatographic analysis (ICA) for the simultaneous detection of these two pathogens was developed. For this, test strips containing [...] Read more.
Salmonella typhimurium and Listeria monocytogenes are relevant foodborne bacterial pathogens which may cause serious intoxications and infectious diseases in humans. In this study, a sensitive immunochromatographic analysis (ICA) for the simultaneous detection of these two pathogens was developed. For this, test strips containing two test zones with specific monoclonal antibodies (MAb) against lipopolysaccharides of S. typhimurium and L. monocytogenes and one control zone with secondary antibodies were designed, and the double-assay conditions were optimized to ensure high analytical parameters. Prussian blue nanoparticles (PBNPs) were used as nanozyme labels and were conjugated with specific MAbs to perform a sandwich format of the ICA. Peroxidase-mimic properties of PBNPs allowed for the catalytic amplification of the colorimetric signal on test strips, enhancing the assay sensitivity. The limits of detection (LODs) of Salmonella and Listeria cells were 2 × 102 and 7 × 103 cells/mL, respectively. LODs were 100-fold less than those achieved due to the ICA based on the traditional gold label. The developed double ICA was approbated for the detection of bacteria in cow milk samples, which were processed by simple dilution by buffer before the assay. For S. typhimurium and L. monocytogenes, the recoveries from milk were 86.3 ± 9.8 and 118.2 ± 10.5% and correlated well with those estimated by the enzyme-linked immunosorbent assay as a reference method. The proposed approach was characterized by high specificity: no cross-reactivity with other bacteria strains was observed. The assay satisfies the requirements for rapid tests: a full cycle from sample acquisition to result assessment in less than half an hour. The developed ICA has a high application potential for the multiplex detection of other foodborne pathogens. Full article
(This article belongs to the Special Issue Food Safety Detection Analysis and Sensors)
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