1,721,194 research outputs found
Novel food trends and climate changes: Impact on emerging food-borne bacterial pathogens
No full textRates of infection with foodborne bacterial pathogens and their attendant economic burden remain high in industrialized and developing countries, despite persistent efforts to increase the safety of the food supply from farm to fork. New pathogens, like non-O157 Shiga toxin-producing Escherichia coli (STEC) and Arcobacter butzleri have been isolated during outbreaks; others, like Helicobacter pullorum, are emerging as foodborne human pathogens. Large consumption of fresh produce in healthy diets, increasing worldwide trade in food products and raw materials and climate changes are all among the key factors contributing to shifts in the traditional association of foodborne pathogens from foods of animal origin to other commodities and to the emergence or re-emergence of known and new pathogens
Training in quantitative microbial risk assessment of Listeria monocytogenes in processing chains: Quantification of biofilm‐cells transfer integrating virulence and persistence factors
Full text linkFood safety is a global challenge, with nearly 1 in 10 people worldwide falling ill each year from consuming contaminated food. The risk is particularly high in ready-to-eat (RTE) products, which are consumed without further cooking to eliminate harmful microorganisms. To address this, the University of Cordoba and the University of Bologna, in the framework of the EU-FORA programme, developed a training programme focused on quantitative microbial risk assessment (QMRA) for Listeria monocytogenes in RTE food processing chains, a significant public health concern due to its association with severe foodborne illnesses. The programme aimed to train the fellow in advanced food microbiology techniques, predictive modelling and comprehensive QMRA methodologies. The fellow gained hands-on experience with predictive microbiology models applied to real-world scenarios, particularly RTE meat and fish products. Activities included developing predictive models for microbial growth and conducting challenge tests to evaluate Listeria behaviour in various foods. Emphasising data collection and statistical analysis, the fellowship explores the dynamics of Listeria within the food supply chain. A case study on sliced cooked ham demonstrates QMRA's application, using Monte Carlo simulations to estimate Listeria concentrations at consumption, ultimately informing risk management strategies. This initiative aimed to increase the number of food safety risk assessment experts in Europe, thereby enhancing public health outcomes related to foodborne diseases
Proposal of sampling protocols to verify possible performance objectives for Campylobacter species control in Italian broiler batches
Full text linkCampylobacteriosis represents the most important food-borne illness in the EU. Broilers, as well as poultry meat, spread the majority of strains responsible for human cases. The main aims of this study were to suggest an approach for the definition of performance objectives (POs) based on prevalence and concentration of Campylobacter species (spp.) in broiler carcasses; moreover, sampling plans to determine the acceptability of broiler batches at the slaughterhouses in relation to such POs were formulated. The dataset used in this study was the one regarding Italy composed during the European Food Safety Authority baseline survey which was performed in the EU in 2008. A total of 393 carcasses obtained from 393 different batches collected from 48 Italian slaughterhouses were included in the analysis. Uncertainty in prevalence and concentration of Campylobacter spp. on carcasses was quantified assuming a beta and log normal distribution. Statistical analysis and distribution fitting were performed in ModelRisk v4.3 (Monte Carlo simulation with 10,000 iterations). By taking the 50th percentile of prevalence distribution as safety limit, sampling plans were subsequently calculated basing on the binomial approach. Final values of number of samples were equal to 4 or 5 to test with qualitative analysis. Considering a limit of quantification of 10 colony forming units/g, a higher number of samples (i.e. 10-13) would be necessary to test using enumeration. An increase of the sensibility of the analytical technique should be necessary to achieve realistic and useful sampling plans based on concentration data
Evaluation of Real-Time PCR to complement ISO 6579:2004 method for the detection of Salmonella in pork cuts
Full text linkAccording to Commission Regulation (EC) No 2073/2005 of 15 November 2005 on microbiological crite-ria for foodstuff , the analytical reference method for the detection of Salmonella in food is ISO 6579:2004. However this long and labor-intensive method is not in line with the short production times of the food industry. In the last years, Real-Time PCR is used more and more by scientists for the relia-ble, fast and specific detection of bacterial pathogens in food. The aim of the present study was to eval-uate the Salmonella detection capability of a validated Real-Time PCR assay on naturally contaminated pork cuts in comparison with the reference method ISO 6579:2004. Three sampling were performed and included 16 pork cut packaging. From each packaging, three aliquots of 10 g each were tested separate-ly by ISO 6579:2004 method and by Real-Time PCR. In particular this molecular method was applied on DNA samples extracted from pre-enrichment broth after 1 and 18 hours of incubation. Within the three sampling periods, Real-Time PCR detected Salmonella in 81%, 100% e 62,5% of pork cut samples respectively, whereas the corresponding percentages of detection of the reference method were 56%, 81% e 62,5% respectively. In conclusion the Real-Time PCR assay used in the present study might be a reliable tool for a fast detection of Salmonella on pork cuts, especially when large number of samples needs to be tested. The reference method might be applied only on positive samples for isolation purpos-es mandatory in epidemiological investigations
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota
Full text linkIn this paper we compared taxonomic results obtained by metataxonomics (16S rRNA gene sequencing) and metagenomics (whole shotgun metagenomic sequencing) to investigate their reliability for bacteria profiling, studying the chicken gut as a model system. The experimental conditions included two compartments of gastrointestinal tracts and two sampling times. We compared the relative abundance distributions obtained with the two sequencing strategies and then tested their capability to distinguish the experimental conditions. The results showed that 16S rRNA gene sequencing detects only part of the gut microbiota community revealed by shotgun sequencing. Specifically, when a sufficient number of reads is available, Shotgun sequencing has more power to identify less abundant taxa than 16S sequencing. Finally, we showed that the less abundant genera detected only by shotgun sequencing are biologically meaningful, being able to discriminate between the experimental conditions as much as the more abundant genera detected by both sequencing strategies
Microbiological and Modeling Approach to Derive Performance Objectives for Bacillus cereus Group in Ready-to-Eat Salads
No full textIn this article, the performance objectives (POs) for Bacillus cereus group (BC) in celery, cheese, and spelt added as ingredients in a ready-to-eat mixed spelt salad, packaged under modified atmosphere, were calculated using a Bayesian approach. In order to derive the POs, BC detection and enumeration were performed in nine lots of naturally contaminated ingredients and final product. Moreover, the impact of specific production steps on the BC contamination was quantified. Finally, a sampling plan to verify the ingredient lots' compliance with each PO value at a 95% confidence level (CL) was defined. To calculate the POs, detection results as well as results above the limit of detection but below the limit of quantification (i.e., censored data) were analyzed. The most probable distribution of the censored data was determined and two-dimensional (2D) Monte Carlo simulations were performed. The PO values were calculated to meet a food safety objective of 4 log10 cfu of BC for g of spelt salad at the time of consumption. When BC grows during storage between 0.90 and 1.90 log10 cfu/g, the POs for BC in celery, cheese, and spelt ranged between 1.21 log10 cfu/g for celery and 2.45 log10 cfu/g for spelt. This article represents the first attempt to manage the concept of PO and 2D Monte Carlo simulation in the flow chart of a complex food matrix, including raw and cooked ingredients
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