scholarly journals Quantum dot biosensor combined with antibody and aptamer for tracing food-borne pathogens

2021 ◽  
Vol 5 ◽  
Author(s):  
Feifei Sun ◽  
Jing Zhang ◽  
Qingli Yang ◽  
Wei Wu
Keyword(s):  
Quantum Dots ◽  
Pathogen Detection ◽  
High Sensitivity ◽  
High Specificity ◽  
Detection Methods ◽  
Food Borne Pathogens ◽  
Food Borne ◽  
Recognition Elements ◽  
Different Characteristics ◽  
And Control

Abstract Due to the increasing number of food-borne diseases, more attention is being paid to food safety. Food-borne pathogens are the main cause of food-borne diseases, which seriously endanger human health, so it is necessary to detect and control them. Traditional detection methods cannot meet the requirements of rapid detection of food due to many shortcomings, such as being time-consuming, laborious or requiring expensive instrumentation. Quantum dots have become a promising nanotechnology in pathogens tracking and detection because of their excellent optical properties. New biosensor detection methods based on quantum dots are have been gradually developed due to their high sensitivity and high specificity. In this review, we summarize the different characteristics of quantum dots synthesized by carbon, heavy metals and composite materials firstly. Then, attention is paid to the principles, advantages and limitations of the quantum dots biosensor with antibodies and aptamers as recognition elements for recognition and capture of food-borne pathogens. Finally, the great potential of quantum dots in pathogen detection is summarized.

scholarly journals Review of Electrochemical DNA Biosensors for Detecting Food Borne Pathogens

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4916 ◽  
Author(s):  
Qiaoyun Wu ◽  
Yunzhe Zhang ◽  
Qian Yang ◽  
Ning Yuan ◽  
Wei Zhang
Keyword(s):  
Pathogen Detection ◽  
Low Cost ◽  
Electrochemical Techniques ◽  
Ease Of Use ◽  
Detection Methods ◽  
Future Research ◽  
Dna Biosensors ◽  
Food Borne Pathogens ◽  
Chip Technology ◽  
Food Borne

The vital importance of rapid and accurate detection of food borne pathogens has driven the development of biosensor to prevent food borne illness outbreaks. Electrochemical DNA biosensors offer such merits as rapid response, high sensitivity, low cost, and ease of use. This review covers the following three aspects: food borne pathogens and conventional detection methods, the design and fabrication of electrochemical DNA biosensors and several techniques for improving sensitivity of biosensors. We highlight the main bioreceptors and immobilizing methods on sensing interface, electrochemical techniques, electrochemical indicators, nanotechnology, and nucleic acid-based amplification. Finally, in view of the existing shortcomings of electrochemical DNA biosensors in the field of food borne pathogen detection, we also predict and prospect future research focuses from the following five aspects: specific bioreceptors (improving specificity), nanomaterials (enhancing sensitivity), microfluidic chip technology (realizing automate operation), paper-based biosensors (reducing detection cost), and smartphones or other mobile devices (simplifying signal reading devices).

Factors Involved in the Emergence and Persistence of Food-Borne Diseases†

1995 ◽  
Vol 58 (6) ◽  
pp. 696-708 ◽  
Author(s):  
JAMES L. SMITH ◽  
PINA M. FRATAMICO
Keyword(s):  
Distribution Systems ◽  
Pathogen Detection ◽  
Eating Habits ◽  
Disease Outbreaks ◽  
Detection Methods ◽  
Genetic Changes ◽  
Food Borne Pathogens ◽  
Food Borne ◽  
Production And Distribution ◽  
Health Significance

In recent years, a number of bacteria, viruses, and parasites have emerged as food-borne pathogens and resulted in numerous food-borne disease outbreaks. These outbreaks have had a major impact in terms of loss of human lives and economic costs. Genetic changes in microorganisms resulting in increased virulence, changes in social attitudes and eating habits, changes in food production and distribution systems, an increase in the number of immunocompromised individuals, and improved pathogen-detection methods are some of the factors that have contributed to the emergence/recognition and persistence of food-borne pathogens. The causes leading to the emergence of new food-borne pathogens or the reemergence of pathogens involve the interaction of several factors. This review discusses in detail factors involved in the emergence/recognition and persistence of several bacterial, parasitic, viral, and virus-like agents associated with food-borne diseases of public-health significance.

New bioluminescence pyrophosphate assay for high‐sensitivity detection of food‐borne pathogens

Luminescence ◽  
2020 ◽  
Vol 35 (3) ◽  
pp. 355-364
Author(s):  
Zhongjie Fei ◽  
Dongrui Zhou ◽  
Na Li ◽  
Pengfeng Xiao
Keyword(s):  
High Sensitivity ◽  
Food Borne Pathogens ◽  
Food Borne ◽  
High Sensitivity Detection ◽  
Sensitivity Detection

scholarly journals Yersinia enterocoliticaandYersinia pseudotuberculosisDetection in Foods

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
H. Fukushima ◽  
S. Shimizu ◽  
Y. Inatsu
Keyword(s):  
Food Safety ◽  
Detection Methods ◽  
Culture Methods ◽  
Selective Media ◽  
Conventional Culture ◽  
Food Borne Pathogens ◽  
Food Borne ◽  
Isolation Methods ◽  
Pcr Assays ◽  
Virulence Properties

Yersinia enterocoliticaandY. pseudotuberculosiswhich can cause yersiniosis in humans and animals are thought to be significant food-borne pathogens and be important as hygiene indicator in food safety. The pathogenicY. enterocoliticaserotypes/biotypes are O:3/4 and 3 variant VP negative, O:5, 27/2, O:8/1b, and O:9/2, have been reported worldwide.Y. pseudotuberculosisis distributed less widely thanY. enterocolitica. Isolation methods usually involve selective and recovery enrichment of the food sample followed by plating onto selective media, confirmation of typical colonies and testing for virulence properties of isolated strains. Recently, DNA-based methods, such as PCR assays, have been developed to detect pathogenicY. enterocoliticaandY. pseudotuberculosisin foods more rapidly, and sensitivity than can be achieved by conventional culture methods. This paper reviews commercially available conventional and PCR-based procedures for the detection of pathogenicYersiniain food. These methods are effective as the isolation and detection methods to target pathogenicY. enterocoliticaandY. pseudotuberculosisin foods.

scholarly journals Long Noncoding RNAs as Novel Biomarkers Have a Promising Future in Cancer Diagnostics

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Ting Shi ◽  
Ge Gao ◽  
Yingli Cao
Keyword(s):  
Noncoding Rnas ◽  
High Sensitivity ◽  
High Specificity ◽  
Body Fluids ◽  
Cancer Diagnostics ◽  
Long Noncoding Rnas ◽  
Detection Methods ◽  
Tumor Biomarkers ◽  
Biological Functions ◽  
Sample Collection

Cancers have a high mortality rate due to lack of suitable specific early diagnosis tumor biomarkers. Emerging evidence is accumulating that lncRNAs (long noncoding RNAs) are involved in tumorigenesis, tumor cells proliferation, invasion, migration, apoptosis, and angiogenesis. Furthermore, extracellular lncRNAs can circulate in body fluids; they can be detected and strongly resist RNases. Many researchers have found that lncRNAs could be good candidates for tumor biomarkers and possessed high specificity, high sensitivity, and noninvasive characteristics. In this review, we summarize the detection methods and possible sources of circulating lncRNAs and outline the biological functions and expression level of the most significant lncRNAs in tissues, cell lines, and body fluids (whole blood, plasma, urine, gastric juice, and saliva) of different kinds of tumors. We evaluate the diagnostic performance of lncRNAs as tumor biomarkers. However, the biological functions and the mechanisms of circulating lncRNAs secretion have not been fully understood. The uniform normalization protocol of sample collection, lncRNAs extraction, endogenous control selection, quality assessment, and quantitative data analysis has not been established. Therefore, we put forward some recommendations that might be investigated in the future if we want to adopt lncRNAs in clinical practice.

scholarly journals Snipe: highly sensitive pathogen detection from metagenomic sequencing data

2021 ◽  
Author(s):  
Lihong Huang ◽  
Bin Hong ◽  
Wenxian Yang ◽  
Liansheng Wang ◽  
Rongshan Yu
Keyword(s):  
Foodborne Pathogens ◽  
Pathogen Detection ◽  
High Sensitivity ◽  
High Specificity ◽  
Correction Method ◽  
Food Samples ◽  
Metagenomic Sequencing ◽  
Sequencing Data ◽  
Metagenomics Data ◽  
Species Specific

Abstract Metagenomics data provide rich information for the detection of foodborne pathogens from food and environmental samples that are mixed with complex background bacteria strains. While pathogen detection from metagenomic sequencing data has become an activity of increasing interest, shotgun sequencing of uncultured food samples typically produces data that contain reads from many different organisms, making accurate strain typing a challenging task. Particularly, as many pathogens may contain a common set of genes that are highly similar to those from normal bacteria in food samples, traditional strain-level abundance profiling approaches do not perform well at detecting pathogens of very low abundance levels. To overcome this limitation, we propose an abundance correction method based on species-specific genomic regions to achieve high sensitivity and high specificity in target pathogen detection at low abundance.

scholarly journals Recent advances of fluorescent biosensors based on cyclic signal amplification technology in biomedical detection

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Hongke Qu ◽  
Chunmei Fan ◽  
Mingjian Chen ◽  
Xiangyan Zhang ◽  
Qijia Yan ◽  
...  
Keyword(s):  
Signal Amplification ◽  
Low Cost ◽  
Rolling Circle Amplification ◽  
High Sensitivity ◽  
High Specificity ◽  
Detection Methods ◽  
Research Progress ◽  
Rolling Circle ◽  
Displacement Reactions ◽  
Short Time

AbstractThe cyclic signal amplification technology has been widely applied for the ultrasensitive detection of many important biomolecules, such as nucleic acids, proteins, enzymes, adenosine triphosphate (ATP), metal ions, exosome, etc. Due to their low content in the complex biological samples, traditional detection methods are insufficient to satisfy the requirements for monitoring those biomolecules. Therefore, effective and sensitive biosensors based on cyclic signal amplification technology are of great significance for the quick and simple diagnosis and treatment of diseases. Fluorescent biosensor based on cyclic signal amplification technology has become a research hotspot due to its simple operation, low cost, short time, high sensitivity and high specificity. This paper introduces several cyclic amplification methods, such as rolling circle amplification (RCA), strand displacement reactions (SDR) and enzyme-assisted amplification (EAA), and summarizes the research progress of using this technology in the detection of different biomolecules in recent years, in order to provide help for the research of more efficient and sensitive detection methods. Graphical Abstract

scholarly journals Snipe: Highly sensitive pathogen detection from metagenomic sequencing data

2020 ◽  
Author(s):  
Lihong Huang ◽  
Bin Hong ◽  
Wenxian Yang ◽  
Liansheng Wang ◽  
Rongshan Yu
Keyword(s):  
Foodborne Pathogens ◽  
Pathogen Detection ◽  
High Sensitivity ◽  
High Specificity ◽  
Correction Method ◽  
Food Samples ◽  
Metagenomic Sequencing ◽  
Sequencing Data ◽  
Metagenomics Data ◽  
Species Specific

Metagenomics data provides rich information for the detection of foodborne pathogens from food and environmental samples that are mixed with complex background bacteria strains. While pathogen detection from metagenomic sequencing data has become an activity of increasing interest, shotgun sequencing of uncultured food samples typically produces data that contains reads from many different organisms, making accurate strain typing a challenging task. Particularly, as many pathogens may contain a common set of genes that are highly similar to those from normal bacteria in food samples, traditional strain-level abundance profiling approaches do not perform well at detecting pathogens of very low abundance levels. To overcome this limitation, we propose an abundance correction method based on species-specific genomic regions to achieve high sensitivity and high specificity in target pathogen detection at low abundance.

Microarray Analysis Reveals the Actual Specificity of Enrichment Media Used for Food Safety Assessment

2011 ◽  
Vol 74 (6) ◽  
pp. 1030-1034 ◽  
Author(s):  
TANJA KOSTIĆ ◽  
BEATRIX STESSL ◽  
MARTIN WAGNER ◽  
ANGELA SESSITSCH
Keyword(s):  
Food Safety ◽  
Food Analysis ◽  
Safety Assessment ◽  
Marker Gene ◽  
Simultaneous Detection ◽  
High Sensitivity ◽  
High Specificity ◽  
Microarray Platform ◽  
Detection Methods ◽  
Indicator Organisms

Microbial diagnostic microarrays are tools for simultaneous detection and identification of microorganisms in food, clinical, and environmental samples. In comparison to classic methods, microarray-based systems have the potential for high throughput, parallelism, and miniaturization. High specificity and high sensitivity of detection have been demonstrated. A microbial diagnostic microarray for the detection of the most relevant bacterial food- and waterborne pathogens and indicator organisms was developed and thoroughly validated. The microarray platform based on sequence-specific end labeling of oligonucleotides and the phylogenetically robust gyrB marker gene allowed a highly specific (resolution on genus and/or species level) and sensitive (0.1% relative and 104 CFU absolute sensitivity) detection of the target pathogens. In initial challenge studies of the applicability of microarray-based food analysis, we obtained results demonstrating the questionable specificity of standardized culture-dependent microbiological detection methods. Taking into consideration the importance of reliable food safety assessment methods, comprehensive performance assessment is essential. Results demonstrate the potential of this new pathogen diagnostic microarray to evaluate culture-based standard methods in microbiological food analysis.

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