Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.4
5.2
Journals
Foods
Special Issues
Novel Approaches for Detecting Foodborne Pathogens
share announcement

Novel Approaches for Detecting Foodborne Pathogens

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

Deadline for manuscript submissions: closed (15 July 2023) | Viewed by 8282

Special Issue Editors

Prof. Dr. Yujun Jiang

E-Mail Website
Guest Editor
Key Laboratory of Dairy Science, Ministry of Education, Department of Food Science, Northeast Agricultural University, Harbin, China
Interests: foodborne pathogens; rapid detection; isothermal amplification; aptamer; powdered infant formula; lateral flow dipstick; traceability; Cronobacter spp.; DIVERSITY; TOLERANCE
Dr. Hengyi Xu

E-Mail Website
Guest Editor
State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
Interests: food safety; foodborne pathogens; molecular techniques; biosensor; magnetic separation techniques for pathogens
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of food products, the issue of food safety has attracted widespread attention from both the food industry and consumers. Food products can be contaminated at any stage in their production, processing, storage and distribution. Foodborne pathogens are a global issue, causing food poisoning that can be fatal to humans in some cases and lead to various other diseases. Although tremendous efforts have been made to ensure the safety of food products, various foodborne disease outbreaks and recalls occur annually. Therefore, the timely and accurate detection of foodborne pathogens is crucial for the safety of food products. Currently, traditional methods for the culture-based detection and characterization of microorganisms are time-consuming and labor-intensive, and thus are not suitable for application in current (or future) production and processing realities. In this Special Issue (SI), we aim to publish innovative research work and review papers on the latest detection methods for foodborne pathogens. This SI may provide new ideas for detecting foodborne pathogens in food products, thereby ensuring food safety.

Prof. Dr. Yujun Jiang
Dr. Hengyi Xu
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
  • food safety
  • detection methods
  • food microbiology
  • microbial risk assessment

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 2935 KiB  
Article
A Method to Directly Identify Cronobacter sakazakii in Liquid Medium by MALDI-TOF MS
by Danliangmin Song, Qunchao Su, Ai Jia, Shiqian Fu, Xiaoming Ma, Tiantian Li, Chaoxin Man, Xinyan Yang and Yujun Jiang
Foods 2023, 12(10), 1981; https://doi.org/10.3390/foods12101981 - 12 May 2023
Viewed by 1331
Abstract
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry has been widely used as an emerging technology for the rapid identification of microorganisms. Cronobacter sakazakii (C. sakazakii) is a food-borne pathogen of particular importance to the powdered infant formula (PIF) processing environment due to its [...] Read more.
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry has been widely used as an emerging technology for the rapid identification of microorganisms. Cronobacter sakazakii (C. sakazakii) is a food-borne pathogen of particular importance to the powdered infant formula (PIF) processing environment due to its high lethality in infants. However, the traditional solid spotting detection method of pretreating samples for MALDI-TOF MS leads only to qualitative detection of C. sakazakii. We developed a new, low-cost, robust liquid spotting pretreatment method and used a response surface methodology to optimize its parameters. The applicability, accuracy, and quantitative potential were measured for different types of samples. The optimal parameters of this method were as follows: a volume of 70% formic acid of 25 μL, treatment with ultrasound at 350 W for 3 min, and a volume of acetonitrile added of 75 μL. These conditions led to the highest identification score for C. sakazakii (1926.42 ± 48.497). This method was found to detect bacteria accurately and reproducibly. When 70 strains of C. sakazakii isolates were analyzed with this method, the identification accuracy was 100%. The detection limit of C. sakazakii in environmental and PIF samples was 4.1 × 101 cfu/mL and 2.72 × 103 cfu/mL, respectively. Full article
(This article belongs to the Special Issue Novel Approaches for Detecting Foodborne Pathogens)
►▼ Show Figures

Figure 1

22 pages, 1301 KiB  
Article
Metagenomics to Detect and Characterize Viruses in Food Samples at Genome Level? Lessons Learnt from a Norovirus Study
by Florence E. Buytaers, Bavo Verhaegen, Mathieu Gand, Jolien D’aes, Kevin Vanneste, Nancy H. C. Roosens, Kathleen Marchal, Sarah Denayer and Sigrid C. J. De Keersmaecker
Foods 2022, 11(21), 3348; https://doi.org/10.3390/foods11213348 - 25 Oct 2022
Cited by 4 | Viewed by 2070
Abstract
In this proof-of-concept study on food contaminated with norovirus, we investigated the feasibility of metagenomics as a new method to obtain the whole genome sequence of the virus and perform strain level characterization but also relate to human cases in order to resolve [...] Read more.
In this proof-of-concept study on food contaminated with norovirus, we investigated the feasibility of metagenomics as a new method to obtain the whole genome sequence of the virus and perform strain level characterization but also relate to human cases in order to resolve foodborne outbreaks. We tested several preparation methods to determine if a more open sequencing approach, i.e., shotgun metagenomics, or a more targeted approach, including hybrid capture, was the most appropriate. The genetic material was sequenced using Oxford Nanopore technologies with or without adaptive sampling, and the data were analyzed with an in-house bioinformatics workflow. We showed that a viral genome sequence could be obtained for phylogenetic analysis with shotgun metagenomics if the contamination load was sufficiently high or after hybrid capture for lower contamination. Relatedness to human cases goes well beyond the results obtained with the current qPCR methods. This workflow was also tested on a publicly available dataset of food spiked with norovirus and hepatitis A virus. This allowed us to prove that we could detect even fewer genome copies and two viruses present in a sample using shotgun metagenomics. We share the lessons learnt on the satisfactory and unsatisfactory results in an attempt to advance the field. Full article
(This article belongs to the Special Issue Novel Approaches for Detecting Foodborne Pathogens)
►▼ Show Figures

Figure 1

10 pages, 2393 KiB  
Article
A Combination of Novel Nucleic Acid Cross-Linking Dye and Recombinase-Aided Amplification for the Rapid Detection of Viable Salmonella in Milk
by Xiaoyan Feng, Donggen Zhou, Bei Gan, Guoyang Xie and Hengyi Xu
Foods 2022, 11(15), 2375; https://doi.org/10.3390/foods11152375 - 8 Aug 2022
Cited by 4 | Viewed by 2141
Abstract
Salmonella, as an important foodborne pathogen, can cause various diseases, such as severe enteritis. In recent years, various types of nucleicacid-intercalating dyes have been utilized to detect viable Salmonella. However, in principle, the performance of existing nucleic acid dyes is limited [...] Read more.
Salmonella, as an important foodborne pathogen, can cause various diseases, such as severe enteritis. In recent years, various types of nucleicacid-intercalating dyes have been utilized to detect viable Salmonella. However, in principle, the performance of existing nucleic acid dyes is limited because they depend on the integrity of cell membrane. Herein, based on the metabolic activity of bacteria, a novel DNA dye called thiazole orange monoazide (TOMA) was introduced to block the DNA from dead bacteria. Recombinase-aided amplification (RAA) was then performed to detect viable Salmonella in samples. In this study, the permeability of TOMA to the cell membrane of Salmonella was evaluated via confocal laser scanning microscopy and fluorescence emission spectrometry. The limit of detection (LOD) of the TOMA–RAA method was 2.0 × 104 CFU/mL in pure culture. The feasibility of the TOMA–RAA method in detecting Salmonella was assessed in spiked milk. The LOD for Salmonella was 3.5 × 102 CFU/mL after 3 h of enrichment and 3.5 × 100 CFU/mL after 5 h of enrichment. The proposed TOMA–RAA assay has great potential to be applied to accurately detect and monitor foodborne pathogens in milk and its byproducts. Full article
(This article belongs to the Special Issue Novel Approaches for Detecting Foodborne Pathogens)
►▼ Show Figures

Figure 1

11 pages, 3166 KiB  
Article
Sensitive Detection of Staphylococcus aureus by a Colorimetric Biosensor Based on Magnetic Separation and Rolling Circle Amplification
by Yutong Wang, Zhengzheng Wang, Zhongxu Zhan, Leina Yan, Lijun Wang and Hengyi Xu
Foods 2022, 11(13), 1852; https://doi.org/10.3390/foods11131852 - 23 Jun 2022
Cited by 5 | Viewed by 2085
Abstract
Staphylococcus aureus (S. aureus) is a common foodborne pathogen that causes fever, vomiting, and other intestinal symptoms, and seriously affects human health and social safety. As a result, a reliable and sensitive detection technique for S. aureus must be developed. In [...] Read more.
Staphylococcus aureus (S. aureus) is a common foodborne pathogen that causes fever, vomiting, and other intestinal symptoms, and seriously affects human health and social safety. As a result, a reliable and sensitive detection technique for S. aureus must be developed. In this work, we proposed a sandwich assay on vancomycin functionalized magnetic beads (Van-MNPs) for S. aureus detection based on the specific binding between IgG and targets. The Van-MNPs were used as a tool for the separation of target bacteria. The biotin-modified IgG mediates binding between DNA nanoflowers (DNFs) and the target bacteria via interacting with streptavidin. The DNFs prepared by rolling circle amplification (RCA) were employed as a nano-container to enhance the capacity of biotins, and the streptavidin-horseradish peroxidase (SA-HRP) was loaded onto DNFs to catalyze the color change of TMB. Therefore, a colorimetric biosensor based on magnetic separation and rolling circle amplification was developed. The proposed methods for S. aureus detection showed a limit of detection (LOD) of 3.3 × 103 CFU/mL and excellent specificity. The biosensor has a certain reference value for the detection of S. aureus in juice. Full article
(This article belongs to the Special Issue Novel Approaches for Detecting Foodborne Pathogens)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop