Real-time pathogen monitoring during enrichment: a novel nanotechnology-based approach to food safety testing

2015 ◽  
Vol 198 ◽  
pp. 19-27 ◽  
Author(s):  
Kristin Weidemaier ◽  
Erin Carruthers ◽  
Adam Curry ◽  
Melody Kuroda ◽  
Eric Fallows ◽  
...  
Keyword(s):  
F1000Research ◽  
2016 ◽  
Vol 4 ◽  
pp. 1422 ◽  
Author(s):  
Kevin McKernan ◽  
Jessica Spangler ◽  
Lei Zhang ◽  
Vasisht Tadigotla ◽  
Yvonne Helbert ◽  
...  

The Center for Disease Control estimates 128,000 people in the U.S. are hospitalized annually due to food borne illnesses. This has created a demand for food safety testing targeting the detection of pathogenic mold and bacteria on agricultural products. This risk extends to medicalCannabisand is of particular concern with inhaled, vaporized and even concentratedCannabisproducts.As a result, third party microbial testing has become a regulatory requirement in the medical and recreationalCannabismarkets, yet knowledge of theCannabismicrobiome is limited. Here we describe the first next generation sequencing survey of the fungal communities found in dispensary basedCannabisflowers by ITS2 sequencing, and demonstrate the sensitive detection of several toxigenicPenicilliumandAspergillusspecies, includingP. citrinum and P. paxilli,that were not detected by one or more culture-based methods currently in use for safety testing.


2021 ◽  
Vol 233 ◽  
pp. 02029
Author(s):  
Xindi Zhang

Economic development has not only led to the steady development of the gross national economy, but also provided a fundamental guarantee for the life of the residents at this stage. However, with the rapid development of economy, people’s attention to hidden safety problems has gradually shifted from big problems to “small details” of food safety. At the same time, in order to reduce the health problems of consumers in the process of eating products, we should start from the source of food, and use microbial technology in the current food safety testing, so as to fundamentally improve the quality of food safety. At present, PCR, impedance, ATP bioluminescence, lamp and enzyme-linked immunosorbent assay are widely used. In this paper, the role of microbial detection technology was described, and the application of microbial detection technology in food safety detection was analyzed in depth, hoping to provide a reference for ensuring food safety through the promotion of microbial detection technology.


2019 ◽  
Vol 10 (1) ◽  
pp. 20190046 ◽  
Author(s):  
Alison Stout ◽  
Anna Van Stelten-Carlson ◽  
Hélène Marquis ◽  
Michael Ballou ◽  
Brian Reilly ◽  
...  

Listeriosis is a clinically severe foodborne disease caused by Listeria monocytogenes (Lm). However, approximately 45% of Lm isolates in food carry a virulence-attenuating single-nucleotide polymorphism in inlA , which normally facilitates crossing the intestinal barrier during the initial stages of infection. We hypothesized that (i) natural exposure to virulence-attenuated (vA) Lm strains through food can confer protective immunity against listeriosis attributable to fully virulent (fV) strains and (ii) current food safety measures to minimize exposure to both Lm strains may have adverse population-level outcomes. To test these hypotheses, we evaluated the host response to Lm in a mouse infection model and through mathematical modelling in a human population. After oral immunization with a murinized vA Lm strain, we demonstrated the elicitation of a CD8+ T-cell response and protection against subsequent challenge with an fV strain. A two-strain compartmental mathematical model of human exposure to Lm with cross-protective immunity was also developed. If food safety testing strategies preferentially identify and remove food contaminated by vA strains (potentially due to their common occurrence in foods and higher concentration in food compared to fV strains), the model predicted minimal public health benefit to potentially adverse effects. For example, reducing vA exposures by half, while maintaining fV exposures results in an approximately 6% rise in annual incidence.


Toxins ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 757
Author(s):  
Sara Franco Ortega ◽  
Ilenia Siciliano ◽  
Simona Prencipe ◽  
Maria Lodovica Gullino ◽  
Davide Spadaro

Aspergillus flavus and A. parasiticus are two species able to produce aflatoxins in foodstuffs, and in particular in hazelnuts, at harvest and during postharvest phase. As not all the strains of these species are aflatoxin producers, it is necessary to develop techniques that can detect aflatoxigenic from not aflatoxigenic strains. Two assays, a LAMP (loop-mediated isothermal amplification) and a real time PCR with TaqMan® probe were designed and validated in terms of specificity, sensitivity, reproducibility, and repeatability. The capability of the strains to produce aflatoxins was measured in vitro and both assays showed to be specific for the aflatoxigenic strains of A. flavus and A. parasiticus. The limit of detection of the LAMP assay was 100–999 picograms of DNA, while the qPCR detected 160 femtograms of DNA in hazelnuts. Both techniques were validated using artificially inoculated hazelnuts and naturally infected hazelnuts. The qPCR was able to detect as few as eight cells of aflatoxigenic Aspergillus in naturally infected hazelnut. The combination of the LAMP assay, which can be performed in less than an hour, as screening method, with the high sensitivity of the qPCR, as confirmation assay, is able to detect aflatoxigenic strains already in field, helping to preserve the food safety of hazelnuts.


2013 ◽  
Vol 96 (5) ◽  
pp. 998-1005 ◽  
Author(s):  
Ambroos Stals ◽  
Mieke Uyttendaele ◽  
Els Van Coillie

Abstract Noroviruses (NoV) have been recognized worldwide as a leading cause of foodborne gastroenteritis over the last decade. A broad range of foods—shellfish, fresh produce, and ready-to-eat/catered foods—has been implicated in NoV foodborne outbreaks. The recognition of NoV as an important food pathogen has been aided by the development of sensitive molecular methods for detection of the NoV genome. However, despite advances, NoV detection is still hampered by several limitations. First, NoV detection can often only be implemented by expert laboratories due to the complexity of the virus extraction step, which in most protocols is cumbersome and labor-intensive. Moreover, a very wide selection of automated methods for virus extraction from foods is available, so selection of an adequate method is not straightforward. On the other hand, automated systems have been made available or the RNA purification and real-time RT-PCR (RT-qPCR) is considered the gold standard for detection of NoV. Second, correct interpretation of real-time PCR results is often difficult. From a technical point of view, the interpretation of the often nonsigmoidal amplification curves remains difficult, even for experts. From a food safety perspective, interpretation of very high Cq (or Ct) values—and thus, of low viral genomic copy numbers—is not straightforward, as RT-(q)PCR merely detects the presence of viral genomic material that is not necessarily linked to the presence of infectious viral particles. Despite efforts, both limitations have not completely resolved thus far. Harmonization may be a first step to comprehend and deal with these limitations. The current review provides an overview of a number of validated methods that have been published by food safety and other authorities.


2021 ◽  
Vol 292 ◽  
pp. 02052
Author(s):  
Kai Chen ◽  
Heng Tao ◽  
Jie Yu ◽  
Miao Hao ◽  
Hong Yang ◽  
...  

Food safety is a matter of national importance, and it is important to establish and improve a whole process food safety supervision system with high standard. Along with the advent of the era of big data, to achieve this goal requires not only the reform and optimization of the old regulatory approach needs to establish the idea of information-based supervision, and actively apply big data technology to food safety testing. In this paper, we introduce the current situation of food safety in society, analyse the shortcomings of current food safety supervision and the challenges faced in the era of big data, discuss the feasibility of using big data for food safety testing with big data technology as the core, and give the design idea of establishing a corresponding food safety subject database. This paper takes food safety testing as the foothold and innovatively combines big data with food safety testing, with a view to providing reference for food safety regulatory authorities and promoting the healthy development of the food industry.


F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 1422 ◽  
Author(s):  
Kevin McKernan ◽  
Jessica Spangler ◽  
Lei Zhang ◽  
Vasisht Tadigotla ◽  
Yvonne Helbert ◽  
...  

The Center for Disease Control estimates 128,000 people in the U.S. are hospitalized annually due to food borne illnesses. This has created a demand for food safety testing targeting the detection of pathogenic mold and bacteria on agricultural products. This risk extends to medicalCannabisand is of particular concern with inhaled, vaporized and even concentratedCannabisproducts.As a result, third party microbial testing has become a regulatory requirement in the medical and recreationalCannabismarkets, yet knowledge of theCannabismicrobiome is limited. Here we describe the first next generation sequencing survey of the microbial communities found in dispensary basedCannabisflowers and demonstrate the limitations in the culture-based regulations that are being superimposed from the food industry.


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