Publications by authors named "Nathalie Gnanou Besse"

Listeria monocytogenes (Lm) is a pathogenic bacteria able to grow at refrigerated temperatures, widely distributed in the environment. This bacteria is susceptible to contaminate various food products of which refrigerated ready-to-eat foods (RTEF) may pose a risk for public health. In Europe, food business operators (FBOs) shall ensure that foodstuffs comply with the relevant microbiological criteria set out in the Regulation (EC) N°2073/2005.

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Article Synopsis
  • * European regulations (Regulation 2073/2005) outline safety criteria for L. monocytogenes in food and allow for alternative certified detection methods beyond the standard EN ISO 11290-1.
  • * A study conducted by the European Union Reference Laboratory in 2022 compared various alternative detection methods for L. monocytogenes, noting that each method has its pros and cons, and the best choice depends on the specific needs and goals of a laboratory.
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Listeria monocytogenes can grow under stressful conditions and contaminate various food categories. Progresss in DNA sequencing-based identification methods, such as multi-locus sequence typing (MLST) now allow for more accurate characterization of pathogens. L.

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Species identification and growth rates for a collection of Cronobacter strains from clinical and non-clinical sources have been previously reported. However, advancements in DNA sequencing-based identification methods now allow for more accurate identification. Here we report the sequence types (STs) for 24 strains of Cronobacter sakazakii and examine any possible correlation between sequence type and growth rate, which could influence risk through greater pathogen multiplication and reach of infectious doses during time between formula preparation and feeding.

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The reference method for the detection and enumeration of L. monocytogenes in food (Standards EN ISO 11290-1&2) have been validated by inter-laboratory studies in the frame of the Mandate M381 from European Commission to CEN. In this paper, the inter-laboratory studies led in 2013 on 5 matrices (cold-smoked salmon, milk powdered infant food formula, vegetables, environment, and cheese) to validate Standard EN ISO 11290-2 are reported.

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The new version of the ISO standard method for detection of Cronobacter spp. (EN ISO 22964:2017) was validated in the frame of the European Commission Mandate M381 to CEN. Seventeen laboratories from nine countries participated in the interlaboratory studies to determine the performance characteristics of the method.

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The reference method for the detection and enumeration of L. monocytogenes in food (Standards EN ISO 11290-1&2) has been validated by inter-laboratory studies in the frame of the Mandate M381 from European Commission to CEN. In this paper, the collaborative studies led in 2013 on 5 matrices (cold-smoked salmon, milk powdered infant food formula, vegetables, environment, and cheese) to validate the recently revised Standard EN ISO 11290-Part 1 are reported.

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During the past six years, new species of the genus Listeria have been isolated from foods and other environmental niches worldwide. The Standard method EN ISO 11290-1 that is currently under revision will include in its scope all Listeria species in addition to L. monocytogenes.

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A stochastic model describing the growth of Listeria monocytogenes during enrichment in half Fraser was developed for the purpose of estimating the effects of modifications to the first enrichment step of the EN ISO 11290-1 detection method. Information pertaining to the variability of growth rates, physiological state of the cell, and the behavior of individual cells contaminating the food were obtained from previously published studies. We used this model to investigate the impact of pooling enrichment broths (wet pooling) on the performance of the standard method.

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The EN ISO 11290-1 method for the isolation of Listeria monocytogenes from food is carried out using a double enrichment in Fraser broths. While the method is effective it is also quite long requiring 4-7 days to process a contaminated food, and may be adversely affected by inter-strain and/or inter-species competition in samples containing mixed Listeria populations. Currently, we have little information on the impact of competition on food testing under routine conditions.

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Listeria monocytogenes is recognised as a serious foodborne pathogen in humans. However, food products are usually contaminated at low levels (i.e.

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For the enumeration of Listeria monocytogenes (L. monocytogenes) in food, a sensitive enumeration method has been recently developed. This method is based on a membrane filtration of the food suspension followed by transfer of the filter on a selective medium to enumerate L.

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Cells of six strains of Cronobacter were subjected to dry stress and stored for 2.5 months at ambient temperature. The individual cell lag time distributions of recovered cells were characterized at 25 °C and 37 °C in non-selective broth.

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A stochastic modelling approach was developed to describe the distribution of Listeria monocytogenes contamination in foods throughout their shelf life. This model was designed to include the main sources of variability leading to a scattering of natural contaminations observed in food portions: the variability of the initial contamination, the variability of the biological parameters such as cardinal values and growth parameters, the variability of individual cell behaviours, the variability of pH and water activity of food as well as portion size, and the variability of storage temperatures. Simulated distributions of contamination were compared to observed distributions obtained on 5 day-old and 11 day-old cheese curd surfaces artificially contaminated with between 10 and 80 stressed cells and stored at 14°C, to a distribution observed in cold smoked salmon artificially contaminated with approximately 13 stressed cells and stored at 8°C, and to contaminations observed in naturally contaminated batches of smoked salmon processed by 10 manufacturers and stored for 10 days a 4°C and then for 20 days at 8°C.

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Enterobacter sakazakii has been identified as the causative agent of serious neonatal infections, associated with high mortality rate. In many cases, powdered infant formula (PIF) has been identified as the source of infection. Recently, E.

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Enterobacter sakazakii has been identified as the causative agent of serious neonatal infections, associated with high mortality rates. In most cases, powdered infant formula (PIF) has been identified as the source of infection. Recently, strains commonly referred to as E.

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Article Synopsis
  • - The isolation of Listeria monocytogenes from food often faces challenges due to its potential overgrowth by other Listeria species during double enrichment, which can lead to false negatives in testing.
  • - Experimental analysis revealed that L. monocytogenes can be outgrown by Listeria innocua during the late exponential growth phase due to interactions, while a dominant L. monocytogenes strain can also suppress Listeria welshimeri’s growth rate.
  • - Despite testing various factors in the ISO 11290-1 methodology, no single determinant was found for the overgrowth, but adding agar to the broth significantly reduced overgrowth in mixed strain experiments, indicating competition for nutrients plays a key role
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For the enumeration of Listeria monocytogenes in cold-smoked salmon, a sensitive enumeration method, based on membrane filtration followed by transfer of the filter on a selective medium has been recently developed (Gnanou Besse et al., 2004, A contribution to the improvement of L. monocytogenes enumeration in cold-smoked salmon.

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As a result of the growing recognition of Enterobacter sakazakii as an emergent pathogen, the International Dairy Federation (IDF) and the International Organization for Standardization (ISO) have standardized a reference method for the detection of E. sakazakii in milk powder products and powdered infant food formulas (IFF). The objectives of this study were to assess the applicability of the ISO-IDF draft standard, and to compare several chromogenic selective media for E.

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Obtaining quantitative data concerning the relative impact of various factors that may influence bacterial growth is of great importance for microbial risk assessment and predictive microbiology. The objective of this work was to investigate the effect of the initial Listeria monocytogenes density on all the growth parameters of this pathogen (lag phase duration, growth rate and maximum population density attained) on a sterile solid model system mimicking smoked fishery products, and in real cold-smoked salmon, a product likely to be contaminated with L. monocytogenes.

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The isolation of Listeria monocytogenes from food is carried out using a double enrichment. It is believed that the double enrichment can allow the overgrowth of Listeria innocua in samples where both species are present. In this study, we have evaluated the impact of overgrowth between Listeria species and strains during each step of the enrichment process.

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For the enumeration of Listeria monocytogenes in food, a sensitive enumeration method based on membrane filtration followed by transfer of the filter to a selective medium has been developed. This study was carried out with cold-smoked salmon, a product likely to be contaminated with L. monocytogenes.

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Various predictive models of microbial behavior have been created and extensive data collection has been done by numerous private or public laboratories. However, significant differences between predicted and observed values in foods have been observed and need to be stressed, understood and explained as much as possible. In this paper, we present a software tool (currently at the level of a prototype) able: (i) to store in a database all relevant information expressed on one hand as qualitative or quantitative data and on the other hand as precise or imprecise data; (ii) to retrieve the more relevant information from the database using queries where criteria may be expressed as fuzzy values in order to enhance the flexibility of the search: (iii) to compute, in addition to the nearest data, an estimation of searched values using statistical models.

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