Foodborne pathogens and their toxins

Martinović, Tamara; Andjelković, Uroš; Gajdošik, Martina Šrajer; Rešetar, Dina; Josić, Djuro

doi:10.1016/j.jprot.2016.04.029

Cited by 149 publications

(80 citation statements)

References 122 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, these do not offer the insight for complexities of the pathogen at the molecular level. Many omics approaches have been used for the detection of pathogenic and non-pathogenic L. monocytogenes (Singh et al, 2011;Beale et al, 2014;Tatituri et al, 2015;Jadhav et al, 2015;Ojima-Kato et al, 2016;Martinović et al, 2016;Cheng et al, 2016). These observations provide information related to pathogen's ability to overcome a diverse range of environmental regimes (e.g., salt concentrations, pH, temperature, etc.…”

Section: Conclusion and Future Prospectsmentioning

confidence: 99%

Biosensor for the detection of Listeria monocytogenes: emerging trends

Soni

Ahmad

Dubey

2018

Critical Reviews in Microbiology

View full text Add to dashboard Cite

The early detection of Listeria monocytogenes (L. monocytogenes) and understanding the disease burden is of paramount interest. The failure to detect pathogenic bacteria in the food industry may have terrible consequences, and poses deleterious effects on human health. Therefore, integration of methods to detect and trace the route of pathogens along the entire food supply network might facilitate elucidation of the main contamination sources. Recent research interest has been oriented towards the development of rapid and affordable pathogen detection tools/techniques. An innovative and new approach like biosensors has been quite promising in revealing the foodborne pathogens. In spite of the existing knowledge, advanced research is still needed to substantiate the expeditious nature and sensitivity of biosensors for rapid and in situ analysis of foodborne pathogens. This review summarizes recent developments in optical, piezoelectric, cell-based, and electrochemical biosensors for Listeria sp. detection in clinical diagnostics, food analysis, and environmental monitoring, and also lists their drawbacks and advantages.

show abstract

Section: Conclusion and Future Prospectsmentioning

confidence: 99%

Biosensor for the detection of Listeria monocytogenes: emerging trends

Soni

Ahmad

Dubey

2018

Critical Reviews in Microbiology

View full text Add to dashboard Cite

show abstract

“…This issue is considered to be a serious human health issue worldwide, particularly for infants. Bacteria, viruses, and parasites are the most common pathogens causing foodborne diseases (Cacciò, Chalmers, Dorny, & Robertson, 2018;Wu et al, 2018) but foodborne maladies from fungi are also known (Martinovi c, Andjelkovi c, Gajdošik, Rešetar, & Josi c, 2016;Wu et al, 2018). It is important to recognize the important role of toxins (exotoxin or endotoxin in the case of bacteria, or mycotoxins in the case of fungi) in induction of foodborne diseases (Martinovi c et al, 2016) because the toxins may survive food processing operations that have killed the original pathogen.…”

Section: Introductionmentioning

confidence: 99%

“…Bacteria, viruses, and parasites are the most common pathogens causing foodborne diseases (Cacciò, Chalmers, Dorny, & Robertson, 2018;Wu et al, 2018) but foodborne maladies from fungi are also known (Martinovi c, Andjelkovi c, Gajdošik, Rešetar, & Josi c, 2016;Wu et al, 2018). It is important to recognize the important role of toxins (exotoxin or endotoxin in the case of bacteria, or mycotoxins in the case of fungi) in induction of foodborne diseases (Martinovi c et al, 2016) because the toxins may survive food processing operations that have killed the original pathogen. Both foodborne pathogens and their toxins can be present in foods such as vegetables, fruits, eggs, dairy products, raw or undercooked/cooked products containing seafood, meat, or poultry (Paramithiotis, Drosinos, & Skansamis, 2017;Yeni, Yavas, Alpas, & Soyer, 2016;Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Single and multiple detections of foodborne pathogens by gold nanoparticle assays

Pissuwan

Gazzana

Mongkolsuk

et al. 2019

WIREs Nanomed Nanobiotechnol

View full text Add to dashboard Cite

A late detection of pathogenic microorganisms in food and drinking water has a high potential to cause adverse health impacts in those who have ingested the pathogens. For this reason there is intense interest in developing precise, rapid and sensitive assays that can detect multiple foodborne pathogens. Such assays would be valuable components in the campaign to minimize foodborne illness. Here, we discuss the emerging types of assays based on gold nanoparticles (GNPs) for rapidly diagnosing single or multiple foodborne pathogen infections. Colorimetric and lateral flow assays based on GNPs may be read by the human eye. Refractometric sensors based on a shift in the position of a plasmon resonance absorption peak can be read by the new generation of inexpensive optical spectrometers. Surface‐enhanced Raman spectroscopy and the quartz microbalance require slightly more sophisticated equipment but can be very sensitive. A wide range of electrochemical techniques are also under development. Given the range of options provided by GNPs, we confidently expect that some, or all, of these technologies will eventually enter routine use for detecting pathogens in food. This article is categorized under: Diagnostic Tools > Biosensing

show abstract

“…It is expected to prevent, minimize or eliminate risks on different stages of the food chain and in the meantime maintain, provide, and distribute high-quality food to meet consumer demands. However, millions of cases of food-borne diseases occur every year worldwide (Martinović et al, 2016). Their global impact on health and food quality assurance is well-known even if the full health effects, the kinds of unsafe food, and the economic costs are often undervalued or miscalculated, as well as the outbreaks of food-borne diseases are often unrecognized, unreported, or not investigated.…”

Section: History and Introductionmentioning

confidence: 99%