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Advanced Research on Rapid and Multiplex Detection Methods in Food...
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Advanced Research on Rapid and Multiplex Detection Methods in Food Safety

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

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 3155

Special Issue Editor

Prof. Dr. Marek Sikorski

E-Mail Website
Guest Editor
Faculty of Chemistry, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8, 61-614 Poznań, Poland
Interests: study of photophysics and electronic structure of isoalloxazines; flavins and alloxazines; systems of practical importance (such as beers, edible oils, olive oils, kraft pulps, etc.)

Special Issue Information

Dear Colleagues,

Food products are vulnerable to various factors that can introduce physical, chemical, and biological hazards. Alongside unintentional contamination, deliberate adulteration for economic gain has become a pressing issue. The ramifications of food adulteration are not only limited to consumer deception, but also encompass potential health hazards. Various novel techniques have been implemented to guarantee food safety and quality at different production stages. Novel methods for analyzing food products are being actively pursued to effectively detect contaminants or adulterations. Instrumental methods play an essential role in contemporary food analysis. These methods harness various physical or physicochemical phenomena to extract signals from the analyte. Methods rooted in biological sciences, notably metabolomics, genomics, transcriptomics, and proteomics, also hold a significant place. By integrating these sophisticated methodologies, the assurance of food safety and quality can be fortified, ensuring that consumers are protected from potential hazards and deceptive practices. New methods are constantly being sought, especially those that are sensitive, easy to apply, rapid and inexpensive. This Special Issue warmly welcomes both original research papers and reviews encompassing all the aspects mentioned above or similar topics.

Prof. Dr. Marek Sikorski
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

  • non-targeted methods
  • targeted methods
  • spectroscopy
  • fluorescence
  • mass spectrometry
  • chromatography
  • sensors
  • foodomics
  • metabolomics
  • multivariate and multiway data analysis
  • food quality and safety
  • authenticity
  • adulteration
  • bioactive foods components

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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19 pages, 1727 KiB  
Article
Adaptation of a Commercial Qualitative BAX® Real-Time PCR Assay to Quantify Campylobacter spp. in Whole Bird Carcass Rinses
by Aaron R. Bodie, Dana K. Dittoe, Savannah F. Applegate, Tyler P. Stephens and Steven C. Ricke
Foods 2024, 13(1), 56; https://doi.org/10.3390/foods13010056 - 22 Dec 2023
Cited by 1 | Viewed by 1524
Abstract
Poultry is the primary reservoir of Campylobacter, a leading cause of gastroenteritis in the United States. Currently, the selective plating methodology using selective agars, Campy Cefex and Modified Charcoal Cefoperazone Deoxycholate agar, is preferentially used for the quantification of Campylobacter spp. among [...] Read more.
Poultry is the primary reservoir of Campylobacter, a leading cause of gastroenteritis in the United States. Currently, the selective plating methodology using selective agars, Campy Cefex and Modified Charcoal Cefoperazone Deoxycholate agar, is preferentially used for the quantification of Campylobacter spp. among poultry products. Due to the specific nature of Campylobacter, this methodology is not sensitive, which can lead to skewed detection and quantification results. Therefore, Campylobacter detection and quantification methods are urgently needed. The objective was to develop a shortened enrichment-based quantification method for Campylobacter (CampyQuant™) in post-chill poultry rinsates using the BAX® System Real-Time PCR assay for Campylobacter. The specificity and sensitivity for the detection of C. jejuni, C. coli, and C. lari in pure culture were determined. The BAX® System Real-Time PCR assay consistently detected and identified each species 100% of the time with an enumeration range of 4.00 to 9.00 Log10 CFU/mL. Enrichment time parameters for low-level concentrations (0.00, 1.00, and 2.00 Log10 CFU/mL) of Campylobacter using the BAX® System Real-Time PCR assay were elucidated. It was determined that an enrichment time of 20 h was needed to detect at least 1.00 Log10 CFU/mL of Campylobacter spp. Using the BAX® System Real-Time PCR assay for Campylobacter. As a result, time of detection, detection limits, and enrichment parameters were used to develop the CampyQuant™ linear standard curve using the detected samples from the BAX® System Real-Time PCR assay to quantify the levels in post-chill poultry rinsates. A linear fit equation was generated for each Campylobacter species using the cycle threshold from the BAX® System Real-Time PCR assay to estimate a pre-enrichment of 1.00 to 4.00 Log10 CFU/mL of rinsates detected. The statistical analyses of each equation yielded an R2 of 0.93, 0.76, and 0.94 with a Log10 RMSE of 0.64, 1.09, and 0.81 from C. jejuni, C. coli, and C. lari, respectively. The study suggests that the BAX® System Real-Time PCR assay for Campylobacter is a more rapid, accurate, and efficient alternative method for Campylobacter enumeration. Full article
(This article belongs to the Special Issue Advanced Research on Rapid and Multiplex Detection Methods in Food Safety)
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11 pages, 1008 KiB  
Article
An LC–MS/MS Method for the Simultaneous Analysis of 380 Pesticides in Soybeans, Kidney Beans, Black Soybeans, and Mung Beans: The Effect of Bean Grinding on Incurred Residues and Partitioning
by Xiu Yuan, Chang Jo Kim and Hyun Ho Noh
Foods 2023, 12(24), 4477; https://doi.org/10.3390/foods12244477 - 14 Dec 2023
Viewed by 1368
Abstract
The significance of sample grinding is frequently disregarded during the development of analytical methods, which are often validated with spiked samples that may not accurately reflect incurred residues. This study investigated the particle size of ground beans as a key factor in optimizing [...] Read more.
The significance of sample grinding is frequently disregarded during the development of analytical methods, which are often validated with spiked samples that may not accurately reflect incurred residues. This study investigated the particle size of ground beans as a key factor in optimizing extraction efficiency in order to develop a simple quick, easy, cheap, effective, rugged, and safe (QuEChERS)-based modified method for identifying 380 pesticides in beans using liquid chromatography–tandem mass spectrometry. The efficacy of pesticide extraction was found to be significantly affected by particle size. With small particle sizes (>40 mesh), no supernatant was recovered after QuEChERS partitioning. Therefore, a simple modification was performed before partitioning. The modified method was validated for selective extraction of pesticides, limits of quantification, linearity, accuracy, and precision. This method is simple to implement and, therefore, useful for the analysis of pesticide residues in beans. Full article
(This article belongs to the Special Issue Advanced Research on Rapid and Multiplex Detection Methods in Food Safety)
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