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Foods
Special Issues
Rapid Detection of GMOs and Foodborne Pathogens
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Rapid Detection of GMOs and Foodborne Pathogens

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

Deadline for manuscript submissions: closed (10 February 2021) | Viewed by 4474

Special Issue Editors

Prof. Dr. Hae-Yeong Kim

E-Mail Website
Guest Editor
Department of Food Science and Biotechnology, College of Life Sciences, Kyung Hee University, Yongin, Korea
Interests: foodborne pathogens; food safety; probiotics; food authenticity; molecular detection
Special Issues, Collections and Topics in MDPI journals
Dr. Si Hong Park

E-Mail Website
Guest Editor
Department of Food Science and Technology, College of Agricultural Sciences, Oregon State University, Corvallis, Oregon, USA
Interests: Metagenomics, bioinformatics, microbiome, foodborne pathogens, food microbiology

Special Issue Information

Dear Colleagues,

Development of rapid detection and identification methods is important to prevent foodborne disease dissemination and enhance food safety and quality in the food industry. To complement food shortage and increase food production worldwide, genetically modified organisms (GMO) have been developed and cultivated in many countries. Rapid and accurate identification of GMO in foods is needed to prevent unintentional adulteration of GMO as well as provide reliable and safe foods to consumers. In recent years, development and commercialization of next-generation sequencing (NGS) has allowed scientists to have a better insight into the complex microbiota in a certain ecosystem (gut, environment, food, etc.) by DNA amplicon sequencing. In addition, whole genome sequencing (WGS) is providing an accurate identification of organisms along with characterization of genome. In this Special Issue, we aim to publish innovative research achievement for the detection and identification of foodborne pathogens (bacteria, virus, and parasites) and GMO from farm to fork phase using “omics” technologies. 

Prof. Dr. Hae-Yeong Kim
Dr. Si Hong Park
Guest Editors

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

  • Foodborne pathogens
  • Genetically modified organisms (GMO)
  • Metagenomics
  • Rapid detection
  • Whole genome sequencing
  • Detection and identification
  • Food safety and quality

Published Papers (2 papers)

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Research

12 pages, 3224 KiB  
Article
An Event-Specific Real-Time PCR Method for Measuring Transgenic Lysozyme Goat Content in Trace Samples
by Wenting Xu, Jinjie Cui, Biao Liu and Litao Yang
Foods 2021, 10(5), 925; https://0-doi-org.brum.beds.ac.uk/10.3390/foods10050925 - 23 Apr 2021
Cited by 2 | Viewed by 2137
Abstract
Lysozymes are used in sterilisation, antisepsis, dairy additives, inflammation, and cancer. One transgenic goat line expressing high levels of human lysozyme (hLZ) in goat milk has been developed in China. Herein, we established an event-specific real-time polymerase chain reaction (real-time PCR) method to [...] Read more.
Lysozymes are used in sterilisation, antisepsis, dairy additives, inflammation, and cancer. One transgenic goat line expressing high levels of human lysozyme (hLZ) in goat milk has been developed in China. Herein, we established an event-specific real-time polymerase chain reaction (real-time PCR) method to detect the transgenic hLZ goat line. The developed method has high specificity, sensitivity and accuracy, and a wide quantitative dynamic range. The limit of detection and limit of quantification was 5 and 10 copies per reaction, respectively. The practical sample analysis results showed that the method could identify and quantify transgenic lysozyme content in trace samples in routine lab analyses. Furthermore, the potential applicability in risk assessment, such as molecular characterisation and gene horizontal transfer, was confirmed. We believe that this method is suitable for the detection of transgenic hLZ goat line and its derivate. Full article
(This article belongs to the Special Issue Rapid Detection of GMOs and Foodborne Pathogens)
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11 pages, 840 KiB  
Article
Development of a Systematic qPCR Array for Screening GM Soybeans
by Saet-Byul Park, Ji-Yeong Kim, Do-Geun Lee, Jae-Hwan Kim, Min-Ki Shin and Hae-Yeong Kim
Foods 2021, 10(3), 610; https://0-doi-org.brum.beds.ac.uk/10.3390/foods10030610 - 13 Mar 2021
Cited by 12 | Viewed by 1937
Abstract
A screening method using the 35S promoter and nos terminator for genetically modified organisms (GMOs) is not sufficient to cover all GM soybean events. In this study, a real-time polymerase chain reaction (also known as quantitative polymerase chain reaction, qPCR) array targeting eight [...] Read more.
A screening method using the 35S promoter and nos terminator for genetically modified organisms (GMOs) is not sufficient to cover all GM soybean events. In this study, a real-time polymerase chain reaction (also known as quantitative polymerase chain reaction, qPCR) array targeting eight screening assays combined with a prediction system was developed for the rapid tracking of GM soybeans. Each assay’s specificity was tested and confirmed using 17 GM soybean events that have been approved in Korea. The sensitivity of each assay was determined to range from 0.01% to 0.05% using DNA mixtures with different GM ratios, and it was validated by the results of three experimenters. The applicability of this study was tested by monitoring 23 processed foods containing soybeans. It was figured out that 13 of the 23 samples included GM soybeans. The prediction system combined with screening results will be helpful to trace the absence/presence of GM soybean events. This new qPCR array and prediction system for GM soybean detection provides rapid, convenient and reliable results to users. Full article
(This article belongs to the Special Issue Rapid Detection of GMOs and Foodborne Pathogens)
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