Insights into Detection and Identification of Foodborne Pathogens

2017 ◽  
pp. 153-201 ◽  
Author(s):  
Jodi Woan-Fei Law ◽  
Vengadesh Letchumanan ◽  
Kok-Gan Chan ◽  
Bey-Hing Goh ◽  
Learn-Han Lee
Keyword(s):  
Foodborne Pathogens ◽  
Detection And Identification

scholarly journals Applications of Nanotechnology in Sensor-Based Detection of Foodborne Pathogens

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1966 ◽  
Author(s):  
Harsh Kumar ◽  
Kamil Kuča ◽  
Shashi Kant Bhatia ◽  
Kritika Saini ◽  
Ankur Kaushal ◽  
...  
Keyword(s):  
Foodborne Pathogens ◽  
Pathogen Detection ◽  
Foodborne Pathogen ◽  
Health Issues ◽  
Detection And Identification ◽  
Specificity And Sensitivity ◽  
Food Borne ◽  
Contaminated Food ◽  
Working Principle ◽  
Effective Use

The intake of microbial-contaminated food poses severe health issues due to the outbreaks of stern food-borne diseases. Therefore, there is a need for precise detection and identification of pathogenic microbes and toxins in food to prevent these concerns. Thus, understanding the concept of biosensing has enabled researchers to develop nanobiosensors with different nanomaterials and composites to improve the sensitivity as well as the specificity of pathogen detection. The application of nanomaterials has enabled researchers to use advanced technologies in biosensors for the transfer of signals to enhance their efficiency and sensitivity. Nanomaterials like carbon nanotubes, magnetic and gold, dendrimers, graphene nanomaterials and quantum dots are predominantly used for developing biosensors with improved specificity and sensitivity of detection due to their exclusive chemical, magnetic, mechanical, optical and physical properties. All nanoparticles and new composites used in biosensors need to be classified and categorized for their enhanced performance, quick detection, and unobtrusive and effective use in foodborne analysis. Hence, this review intends to summarize the different sensing methods used in foodborne pathogen detection, their design, working principle and advances in sensing systems.

scholarly journals Near-Complete Genome Sequence of a Human Norovirus GII.1[Pg] Strain Associated with Acute Gastroenteritis, Determined Using Long-Read Sequencing

2021 ◽  
Vol 10 (28) ◽  
Author(s):  
Zhihui Yang ◽  
Mark Mammel ◽  
Samantha Q. Wales
Keyword(s):  
Foodborne Pathogens ◽  
High Throughput Sequencing ◽  
Read Length ◽  
Human Norovirus ◽  
Short Read ◽  
Fast Detection ◽  
Short Read Sequencing ◽  
Detection And Identification ◽  
Long Read ◽  
Norovirus Gii

High-throughput sequencing is one of the approaches used for the detection of foodborne pathogens such as noroviruses. Long-read sequencing has advantages over short-read sequencing in speed, read length, and lower fragmentation bias, which makes it a potential powerful tool for the fast detection and identification of viruses.

scholarly journals Development of Simple Multiplex Real-Time PCR Assays for Foodborne Pathogens Detection and Identification On Lightcycler

2017 ◽  
Vol 40 (1) ◽  
pp. 53-58 ◽  
Author(s):  
Avo Karus ◽  
Fabrizio Ceciliani ◽  
Armand Sanches Bonastre ◽  
Virge Karus
Keyword(s):  
Real Time ◽  
Foodborne Pathogens ◽  
Real Time Pcr ◽  
Simultaneous Detection ◽  
Melting Curve ◽  
Food Contamination ◽  
Shigella Boydii ◽  
Food Borne Pathogens ◽  
Detection And Identification ◽  
Food Borne

Abstract Most acute intestinal diseases are caused by food-borne pathogens. A fast and simple real-time PCR-based procedure for simultaneous detection of food contamination by any of the five food-borne pathogens: Campylobacter jejuni, Mycobacterium bovis, Enterobacter sakazaki, Shigella boydii, Clostridium perfrigens using multiplex EvaGreen real-time PCR for LightCycler was developed and evaluated. Real-time qPCR showed excellent sensitivity. Tm calling and Melting Curve Genotyping (MCG) were used for analysis of PCR product melting curves. The Melting Curve Genotyping option showed good performance for discrimination of positive samples containing DNA of single pathogen or pathogen mixtures from negative samples.

scholarly journals The Use of Biosensor and Microarray Techniques in the Rapid Detection and Identification of Salmonellae

2006 ◽  
Vol 89 (2) ◽  
pp. 530-537 ◽  
Author(s):  
Millicent C Goldschmidt
Keyword(s):  
Quantum Dots ◽  
Foodborne Pathogens ◽  
Rapid Detection ◽  
Sensitive Assay ◽  
Biosensor Technology ◽  
Detection And Identification ◽  
Assay Methods

Abstract The ever-present need for rapid and sensitive assay methods to detect foodborne pathogens, particularly the salmonellae, has led to increased incorporation of biosensor technology into microarray and other platforms. The use ofmimetics and aptamers has been added to these procedures. Nanoparticles, particularly incorporating fluorophores and quantum dots into various procedures, have decreased the size of instrumentation while increasing automation, sensitivity, and rapidity of results. This article will deal mainly with assays involving the salmonellae.

PROMISING DIRECTIONS IN FOOD MICROBIOLOGY. METHODS OF DETECTION AND IDENTIFICATION OF MICROORGANISMS

2021 ◽  
Vol 1 (4) ◽  
pp. 370-379
Author(s):  
Madinat N. Kurbanova ◽  
◽  
Artem V. Samoylov ◽  
Keyword(s):  
Foodborne Pathogens ◽  
Food Microbiology ◽  
Quality And Safety ◽  
Technology Research ◽  
Microbial Detection ◽  
Advantages And Disadvantages ◽  
Detection And Identification ◽  
Food Quality And Safety ◽  
Available Technology ◽  
Sophisticated Technology

Foodborne pathogens pose a serious problem for human health. Fast and accurate analytical methods are needed to ensure food quality and safety. This article analyzes promising methods for the detection and identification of microorganisms in food microbiology. The choice of analytical method depends on the available technology, the pathogens detected, the complexity of sampling and sample averaging, the urgency of the test, and the expected microbial load. Having analyzed the various methods of microbial detection and identification in food microbiology, it can be concluded that all methods have both advantages and disadvantages and, therefore, the gap between sophisticated technology, research advances and the specific application of developed methods in routine analysis needs to be filled. The creation of a fast, cheap and non-labor-intensive method will serve as a breakthrough in food microbiology and will allow laboratories to quickly and qualitatively conduct research to ensure food safety

Rapid response biosensor for detection and identification of common foodborne pathogens

1995 ◽  
Author(s):  
Nile F. Hartman ◽  
J. Craig Wyvill ◽  
Daniel P. Campbell ◽  
Paul Edmonds
Keyword(s):  
Foodborne Pathogens ◽  
Rapid Response ◽  
Detection And Identification

A Review of Recent Taxonomic Changes in Seven Genera of Bacteria Commonly Found in Foods

2003 ◽  
Vol 66 (7) ◽  
pp. 1304-1309 ◽  
Author(s):  
J. M. JAY
Keyword(s):  
Foodborne Pathogens ◽  
Food Microbiology ◽  
New Genera ◽  
Food Spoilage ◽  
Sequence Comparisons ◽  
Laboratory Methods ◽  
Identification Methods ◽  
Current Trends ◽  
Detection And Identification ◽  
Taxonomic Changes

The purpose of this review is to call attention to the new approaches now in use that classify bacteria primarily on the basis of phylogenetic criteria. The primary laboratory methods for ascertaining phylogenetic relationships entail the use of 16S rRNA and DNA sequence comparisons. These methods have been applied to some long-established genera of bacteria of importance in foods, and seven genera (Bacillus, Clostridium, Flavobacterium, Micrococcus, Pseudomonas, Staphylococcus, and Xanthomonas) are summarized in this review. Some 121 species and strains from these seven genera were recently transferred to 36 newly created genera. The new genera consist of general environmental contaminants and some food spoilage species. To date, significant taxonomic changes have not been reported for foodborne pathogens. These taxonomic shifts need to be examined with respect to the utility of widely used microscopic, cultural, and serologic methods for future use in food microbiology. Phylogeny-based detection and identification methods for foodborne bacteria must be further developed for larger numbers of foodborne genera in order to keep up with the current trends in taxonomy.

Fluorescence sensor arrays for identification of foodborne pathogens

2015 ◽  
Vol 7 (18) ◽  
pp. 7431-7435 ◽  
Author(s):  
Radeemada Mungkarndee ◽  
Gamolwan Tumcharern ◽  
Raweewan Thiramanus ◽  
Ittipon Techakriengkrai ◽  
Mongkol Sukwattanasinitt
Keyword(s):  
Foodborne Pathogens ◽  
Pathogen Detection ◽  
Sensor Array ◽  
Foodborne Pathogen ◽  
Sensor Arrays ◽  
Fluorescence Sensor ◽  
Detection And Identification ◽  
Foodborne Pathogen Detection

A fluorescence sensor array containing polyelectrolyte fluorophores has been developed for foodborne pathogen detection and identification.

Identification of hepatitis a virus in cell cultures by solid phase immune electron microscopy

1986 ◽  
Vol 44 ◽  
pp. 238-239
Author(s):  
C.D. Humphrey ◽  
T.L. Cromeans ◽  
E.H. Cook ◽  
D.W. Bradley
Keyword(s):  
Electron Microscopy ◽  
Liquid Phase ◽  
Cell Cultures ◽  
Rapid Detection ◽  
Hepatitis A ◽  
Hepatitis A Virus ◽  
Solid Phase ◽  
Immune Electron Microscopy ◽  
Detection And Identification

There is a variety of methods available for the rapid detection and identification of viruses by electron microscopy as described in several reviews. The predominant techniques are classified as direct electron microscopy (DEM), immune electron microscopy (IEM), liquid phase immune electron microscopy (LPIEM) and solid phase immune electron microscopy (SPIEM). Each technique has inherent strengths and weaknesses. However, in recent years, the most progress for identifying viruses has been realized by the utilization of SPIEM.

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