scholarly journals Microfluidic-Based Approaches for Foodborne Pathogen Detection

2019 ◽  
Vol 7 (10) ◽  
pp. 381 ◽  
Author(s):  
Xihong Zhao ◽  
Mei Li ◽  
Yao Liu
Keyword(s):  
Food Safety ◽  
Foodborne Pathogens ◽  
Pathogen Detection ◽  
Accurate Determination ◽  
Foodborne Pathogen ◽  
Current Status ◽  
Future Research ◽  
Enzyme Linked Immunosorbent Assay ◽  
Human Beings ◽  
Microfluidic Technology

Food safety is of obvious importance, but there are frequent problems caused by foodborne pathogens that threaten the safety and health of human beings worldwide. Although the most classic method for detecting bacteria is the plate counting method, it takes almost three to seven days to get the bacterial results for the detection. Additionally, there are many existing technologies for accurate determination of pathogens, such as polymerase chain reaction (PCR), enzyme linked immunosorbent assay (ELISA), or loop-mediated isothermal amplification (LAMP), but they are not suitable for timely and rapid on-site detection due to time-consuming pretreatment, complex operations and false positive results. Therefore, an urgent goal remains to determine how to quickly and effectively prevent and control the occurrence of foodborne diseases that are harmful to humans. As an alternative, microfluidic devices with miniaturization, portability and low cost have been introduced for pathogen detection. In particular, the use of microfluidic technologies is a promising direction of research for this purpose. Herein, this article systematically reviews the use of microfluidic technology for the rapid and sensitive detection of foodborne pathogens. First, microfluidic technology is introduced, including the basic concepts, background, and the pros and cons of different starting materials for specific applications. Next, the applications and problems of microfluidics for the detection of pathogens are discussed. The current status and different applications of microfluidic-based technologies to distinguish and identify foodborne pathogens are described in detail. Finally, future trends of microfluidics in food safety are discussed to provide the necessary foundation for future research efforts.

Utilizing the Public GenomeTrakr Database for Foodborne Pathogen Traceback v1

2021 ◽  
Author(s):  
Ruth E Timme ◽  
Maria Sanchez ◽  
Marc Allard
Keyword(s):  
Real Time ◽  
Foodborne Pathogens ◽  
Pathogen Detection ◽  
Foodborne Pathogen ◽  
Reference Database ◽  
Surveillance Program ◽  
Environmental Isolates ◽  
The Public ◽  
The World ◽  
The Usa

This protocol outlines the all the steps necessary to become a GenomeTrakr data contributor. GenomeTrakr is an international genomic reference database of mostly food and environmental isolates from foodborne pathogens. The data and analyses are housed at the National Center for Biotechnology Information (NCBI), which is a database freely available to anyone in the world. The Pathogen Detection browser at NCBI computes daily cluster results adding the newly submitted data to the existing phylogenetic clusters of closely related genomes. Contributors to this database can see how their new isolates are related to the real-time foodborne pathogen surveillance program established in the USA and a few other countries, and at the same time adding valuable new data to the reference database. ------ Although originally published as a Chapter in Methods and Protocols, Foodborne Bacterial Pathogens, the protocol has since been adapted and split into four separate protocols all of which are contained in this collection.

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 Precision Food Safety: a Paradigm Shift in Detection and Control of Foodborne Pathogens

mSystems ◽  
2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Jasna Kovac
Keyword(s):  
Food Safety ◽  
Foodborne Pathogens ◽  
Functional Characterization ◽  
Foodborne Pathogen ◽  
Genomic Data ◽  
Metagenomic Data ◽  
Whole Genome ◽  
Pathogenic Potential ◽  
Outbreak Investigations ◽  
Ongoing Surveillance

ABSTRACT The implementation of whole-genome sequencing in food safety has revolutionized foodborne pathogen tracking and outbreak investigations. The vast amounts of genomic data that are being produced through ongoing surveillance efforts continue advancing our understanding of pathogen diversity and genome biology. Produced genomic data are also supporting the use of metagenomics and metatranscriptomics for detection and functional characterization of microbiological hazards in foods and food processing environments. In addition to that, many studies have shown that metabolic and pathogenic potential, antimicrobial resistance, and other phenotypes relevant to food safety can be predicted from whole-genome sequences, omitting the need for multiple laboratory tests. Nevertheless, further work in the area of functional inference is necessary to enable accurate interpretation of functional information inferred from genomic and metagenomic data, as well as real-time detection and tracking of high-risk pathogen subtypes and microbiomes.

A Novel Approach To Enhance Food Safety: Industry-Academia-Government Partnership for Applied Research

2009 ◽  
Vol 72 (7) ◽  
pp. 1509-1512 ◽  
Author(s):  
MICHAEL T. OSTERHOLM ◽  
JULIE OSTROWSKY ◽  
JEFF A. FARRAR ◽  
ROBERT B. GRAVANI ◽  
ROBERT V. TAUXE ◽  
...  
Keyword(s):  
Food Safety ◽  
Foodborne Pathogens ◽  
Applied Research ◽  
Future Research ◽  
Advisory Panel ◽  
Safety Issues ◽  
Leafy Greens ◽  
Safety Research ◽  
Novel Approach ◽  
Entry Points

An independent collaborative approach was developed for stimulating research on high-priority food safety issues. The Fresh Express Produce Safety Research Initiative was launched in 2007 with $2 million in unrestricted funds from industry and independent direction and oversight from a scientific advisory panel consisting of nationally recognized food safety experts from academia and government agencies. The program had two main objectives: (i) to fund rigorous, innovative, and multi-disciplinary research addressing the safety of lettuce, spinach, and other leafy greens and (ii) to share research findings as widely and quickly as possible to support the development of advanced safeguards within the fresh-cut produce industry. Sixty-five proposals were submitted in response to a publicly announced request for proposals and were competitively evaluated. Nine research projects were funded to examine underlying factors involved in Escherichia coli O157:H7 contamination of lettuce, spinach, and other leafy greens and potential strategies for preventing the spread of foodborne pathogens. Results of the studies, published in the Journal of Food Protection, help to identify promising directions for future research into potential sources and entry points of contamination and specific factors associated with harvesting, processing, transporting, and storing produce that allow contaminants to persist and proliferate. The program provides a model for leveraging the strengths of industry, academia, and government to address high-priority issues quickly and directly through applied research. This model can be productively extended to other pathogens and other leafy and nonleafy produce.

scholarly journals A newly developed paper embedded microchip based on LAMP for rapid multiple detections of foodborne pathogens

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mimi Zhang ◽  
Jinfeng Liu ◽  
Zhiqiang Shen ◽  
Yongxin Liu ◽  
Yang Song ◽  
...  
Keyword(s):  
Centrifugal Force ◽  
Foodborne Pathogens ◽  
Pathogen Detection ◽  
Point Of Care ◽  
Foodborne Pathogen ◽  
Cost Effective ◽  
Reaction Chamber ◽  
Salmonella Spp ◽  
Culture Methods ◽  
Detection Technology

Abstract Background Microfluidic chip detection technology is considered a potent tool for many bioanalytic applications. Rapid detection of foodborne pathogens in the early stages is imperative to prevent the outbreak of foodborne diseases, known as a severe threat to human health. Conventional bacterial culture methods for detecting foodborne pathogens are time-consuming, laborious, and lacking in pathogen diagnosis. To overcome this problem, we have created an embedded paper-based microchip based on isothermal loop amplification (LAMP), which can rapidly and sensitively detect foodborne pathogens. Results We embed paper impregnated with LAMP reagent and specific primers in multiple reaction chambers of the microchip. The solution containing the target pathogen was injected into the center chamber and uniformly distributed into the reaction chamber by centrifugal force. The purified DNA of Escherichia coli O157:H7, Salmonella spp., Staphylococcus aureus, and Vibrio parahaemolyticus has been successfully amplified and directly detected on the microchip. The E. coli O157:H7 DNA was identified as low as 0.0134 ng μL− 1. Besides, the potential of this microchip in point-of-care testing was further tested by combining the on-chip sample purification module and using milk spiked with Salmonella spp.. The pyrolyzed milk sample was filtered through a polydopamine-coated paper embedded in the inside of the sample chamber. It was transported to the reaction chamber by centrifugal force for LAMP amplification. Then direct chip detection was performed in the reaction chamber embedded with calcein-soaked paper. The detection limit of Salmonella spp. in the sample measured by the microchip was approximately 12 CFU mL− 1. Conclusion The paper embedded LAMP microchip offers inexpensive, user-friendly, and highly selective pathogen detection capabilities. It is expected to have great potential as a quick, efficient, and cost-effective solution for future foodborne pathogen detection.

scholarly journals Hyperspectral microscope imaging methods for multiplex detection of Campylobacter

2019 ◽  
Author(s):  
Bosoon Park ◽  
Matthew Eady ◽  
Brian Oakley ◽  
Seung-Chul Yoon ◽  
Kurt Lawrence ◽  
...  
Keyword(s):  
Campylobacter Jejuni ◽  
Pathogen Detection ◽  
Shigella Flexneri ◽  
In Situ Hybridisation ◽  
Foodborne Pathogen ◽  
Latex Agglutination ◽  
Molecular Techniques ◽  
Enzyme Linked Immunosorbent Assay ◽  
Fluorescence In Situ Hybridisation ◽  
Microscope Imaging

Campylobacter is an emerging zoonotic bacterial threat in the poultry industry. The current methods for the isolation and detection of Campylobacter are culture-based techniques with several selective agars designed to isolate Campylobacter colonies, which is time-consuming, labour intensive and has low sensitivity. Several immunological and molecular techniques such as enzyme-linked immunosorbent assay (ELISA) and Latex agglutination are commercially available for the detection and identification of Campylobacter. However, these methods demand more advanced instruments as well as specially trained experts. A hyperspectral microscope imaging (HMI) technique with the fluorescence in situ hybridisation (FISH) technique has the potential for multiplex foodborne pathogen detection. Using Alexa488 and Cy3 fluorophores, the HMI (450–800 nm) technique was able to identify Campylobacter jejuni stains with high sensitivity and specificity. In addition, HMI was able to classify six bacteria using scattering intensity from their spectra without a FISH fluorophore. Overall classification accuracy of quadratic discriminant analysis (QDA) method for six bacteria including Bifidobacter longum, Campylobacter jejuni, Clostridium perfringens, Enterobacter cloacae, Lactobacillus salivarius and Shigella flexneri using the HMI technique without fluorescent markers was approximately 88.6 % with pixel-wise classification.

Relationship between Consumer Food Safety Knowledge and Reported Behavior among Students from Health Sciences in One Region of Spain

2005 ◽  
Vol 68 (12) ◽  
pp. 2631-2636 ◽  
Author(s):  
RONCESVALLES GARAYOA ◽  
MARÍA CÓRDOBA ◽  
ISABEL GARCÍA-JALÓN ◽  
ALMUDENA SANCHEZ-VILLEGAS ◽  
ANA ISABEL VITAS
Keyword(s):  
Food Safety ◽  
Foodborne Pathogens ◽  
Storage Temperature ◽  
Foodborne Pathogen ◽  
Health Sciences ◽  
Food Preservation ◽  
Cross Contamination ◽  
Food Handling ◽  
Accurate Knowledge ◽  
Home Based

A survey was conducted to investigate the relationship between knowledge about food safety and actual food handling practices among Spanish university students (mainly from the health sciences disciplines) who usually prepare meals at home. Based on level of education in food safety topics, students were divided in three groups: high, which included students from Food Science and Nutrition; medium, which included students from other health sciences; and low, which included students from non–health-related studies. More than two thirds of the 562 people selected had an accurate knowledge of the eight foodborne pathogens included in the survey, but only 5.2% were able to identify Staphylococcus aureus as a foodborne pathogen. Significant differences in responses were found depending on educational level concerning the food safety topic. For food handling, up to 60% of the responses reflected accurate knowledge of proper storage of prepared meals and washing of hands and materials to avoid cross-contamination. However, with the exception of questions related to storage temperature, there was considerable difference between knowledge and reported behavior. Although 98.6% of the participants recognized the importance of hand washing before and during food preparation, only one quarter (24.4%) affirmed that they washed their hands with soap and water. On questions concerning food practices, more accurate answers were given by the older students. Women answered questions regarding cross-contamination more accurately, whereas men were more accurate in response to questions concerning temperature and food preservation. In general, students with more knowledge of food hygiene had better reported practices, but even these students reported some high-risk behaviors. These results confirm the need to improve educational programs, ensuring that the acquired knowledge actually modifies consumer behavior.

scholarly journals Advances in Nanomaterials-Based Electrochemical Biosensors for Foodborne Pathogen Detection

Nanomaterials ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2700
Author(s):  
Ivan Bobrinetskiy ◽  
Marko Radovic ◽  
Francesco Rizzotto ◽  
Priya Vizzini ◽  
Stefan Jaric ◽  
...  
Keyword(s):  
Quantum Dots ◽  
Foodborne Pathogens ◽  
Pathogen Detection ◽  
Carbon Nanomaterials ◽  
Graphene Quantum Dots ◽  
Foodborne Pathogen ◽  
Electrochemical Biosensors ◽  
Reduced Graphene ◽  
Gold Silver ◽  
2D And 3D Nanostructures

Electrochemical biosensors utilizing nanomaterials have received widespread attention in pathogen detection and monitoring. Here, the potential of different nanomaterials and electrochemical technologies is reviewed for the development of novel diagnostic devices for the detection of foodborne pathogens and their biomarkers. The overview covers basic electrochemical methods and means for electrode functionalization, utilization of nanomaterials that include quantum dots, gold, silver and magnetic nanoparticles, carbon nanomaterials (carbon and graphene quantum dots, carbon nanotubes, graphene and reduced graphene oxide, graphene nanoplatelets, laser-induced graphene), metal oxides (nanoparticles, 2D and 3D nanostructures) and other 2D nanomaterials. Moreover, the current and future landscape of synergic effects of nanocomposites combining different nanomaterials is provided to illustrate how the limitations of traditional technologies can be overcome to design rapid, ultrasensitive, specific and affordable biosensors.

scholarly journals Complex interactions between weather, and microbial and physiochemical water quality impact the likelihood of detecting foodborne pathogens in agricultural water

2020 ◽  
Author(s):  
Daniel Weller ◽  
Natalie Brassill ◽  
Channah Rock ◽  
Renata Ivanek ◽  
Erika Mudrak ◽  
...  
Keyword(s):  
Water Quality ◽  
Food Safety ◽  
Environmental Factors ◽  
Foodborne Pathogens ◽  
Pathogen Detection ◽  
Agricultural Water ◽  
E Coli ◽  
Factors Associated ◽  
Safety Risks ◽  
The Relationship

AbstractAgricultural water is an important source of foodborne pathogens on produce farms. Managing water-associated risks does not lend itself to one-size-fits-all approaches due to the heterogeneous nature of freshwater environments, and because environmental conditions affect the likelihood of pathogen contamination and the relationship between indicator organism levels (e.g., E. coli) and pathogen presence. To improve our ability to develop location-specific risk management practices, a study was conducted in two produce-growing regions to (i) characterize the relationship between E. coli levels and pathogen presence in agricultural water, and (ii) identify environmental factors associated with pathogen detection. Three AZ and six NY waterways were sampled longitudinally using 10-L grab samples (GS) and 24-h Moore swabs (MS). Regression showed that the likelihood of Salmonella detection (Odds Ratio [OR]=2.18), and eaeA-stx codetection (OR=6.49) was significantly greater for MS compared to GS, while the likelihood of detecting L. monocytogenes was not. Regression also showed that eaeA-stx codetection in AZ (OR=50.2) and NY (OR=18.4), and Salmonella detection in AZ (OR=4.4) were significantly associated with E. coli levels, while Salmonella detection in NY was not. Random forest analysis indicated that interactions between environmental factors (e.g., rainfall, temperature, turbidity) (i) were associated with likelihood of pathogen detection and (ii) mediated the relationship between E. coli levels and likelihood of pathogen detection. Our findings suggest that (i) environmental heterogeneity, including interactions between factors, affects microbial water quality, and (ii) E. coli levels alone may not be a suitable indicator of the food safety risks. Instead, targeted methods that utilize environmental and microbial data (e.g., models that use turbidity and E. coli levels to predict when there is a high or low risk of surface water being contaminated by pathogens) are needed to assess and mitigate the food safety risks associated with preharvest water use. By identifying environmental factors associated with an increased likelihood of detecting pathogens in agricultural water, this study provides information that (i) can be used to assess when pathogen contamination of agricultural water is likely to occur, and (ii) facilitate development of targeted interventions for individual water sources, providing an alternative to existing one-size-fits-all approaches.

scholarly journals Prevalence, genotyping and antibiotic resistance of Listeria monocytogenes and Escherichia coli in fresh beef and chicken meats marketed in Zanjan, Iran

2020 ◽  
Author(s):  
Parisa Farhoumand ◽  
Hassan Hassanzadazar ◽  
Mohammad Soleiman Soltanpour ◽  
Majid Aminzare ◽  
Zahra Abbasi
Keyword(s):  
Listeria Monocytogenes ◽  
Antimicrobial Resistance ◽  
Pathogen Detection ◽  
Foodborne Pathogen ◽  
Chicken Meat ◽  
Health Concern ◽  
Current Status ◽  
Multi Drug Resistance ◽  
Contamination Rate ◽  
E Coli

Background and Objectives: The aim of present study was to evaluate the prevalence of Listeria monocytogenes and Esch- erichia coli, characterization and antimicrobial resistance of their serotypes and genotyping profiles in fresh beef and poultry meats marketed in Zanjan, Iran. Materials and Methods: A total of 90 (45 chicken and 45 beef) samples were collected from January to June 2018 focusing on retail meat stores of Zanjan city, Iran. Foodborne pathogen detection and antimicrobial resistance of isolates performed by PCR and disc diffusion methods, respectively. Simplex PCR method was used for screening hly and uidA genes in L. monocytogenes and E. coli isolates, respectively. Results: Findings revealed high contamination in beef and chicken meats with E. coli (68.89% and 88.89%, respectively) and L. monocytogenes (53.33% and 46.67%, respectively). The most likelihood of E. coli isolates belonged to E. coli 13479 serotype. All L. monocytogenes isolates from beef and chicken meat samples had high similarity with serotypes L. monocyto- genes strain NCTC 10357 and strain MF 4545, respectively. Multi drug resistance (MDR) was seen in both L. monocytogenes and E. coli isolates. Conclusion: This study shows an insight of the current status of beef and chicken meat contamination maketed in Zanjan, Iran with E. coli and L. monocytogenes isolates (high contamination rate), their genotypic profile, epidemiological relation- ship and antimicrobial resistance (AMR) that should be considered as a significant public health concern in Zanjan, Iran.

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