Does Oenococcus oeni produce histamine?

The presence of histamine in wine and other fermented foods may pose a toxicological risk for consumers. Production of histamine by Oenococcus oeni, which is the main agent of malolactic fermentation in wine and thus very important for the wine industry, has been extensively analyzed with contradictory results. If histamine production by O. oeni strains is a widespread trait, enological practices will be affected and the use of non-producing commercial O. oeni starters should be strongly recommended to avoid histamine production during winemaking. However, a review of published data showed that most evidence strongly supports the view that O. oeni is not responsible for histamine production in wine. We therefore propose the adoption of common analytical methods and the introduction of publicly-available validated histamine-producing O. oeni reference strains as a common positive control in assays to resolve this important issue.     

Why does smoking so often produce dependence? A somewhat different view

The usual explanation for why smoking produces dependence focuses on the effects of nicotine on dopamine and other neurobiological explanations. This review offers four somewhat different explanations: (1) nicotine can offer several psychopharmacological benefits at the age when such benefits are especially needed; (2) cigarettes provide for a rapid, frequent, reliable and easy-to-obtain reward; (3) nicotine is not intoxicating, allowing chronic intake; and (4) the long duration of the nicotine withdrawal syndrome effectively undermines cessation. This article reviews the evidence for the above views and the tobacco control activities these views suggest.     

Combining protein micro-phase separation and protein–polysaccharide segregative phase separation to produce gel structures

The ability of protein micro-phase separation and protein–polysaccharide segregative phase separation to generate a range of gel structures and textures was evaluated. Whey protein isolate/κ-carrageenan mixed gels were prepared with 13% (w/v) whey protein isolate, 0–0.6% (w/w) κ-carrageenan and 50, 100 or 250 mM NaCl. The microstructure of gels, determined by confocal laser scanning microscopy, varied from homogenous to protein continuous, bicontinuous, coarse stranded or κ-carrageenan continuous, depending on the κ-carrageenan concentration. Microstructure also varied from stranded to particulate (micro-phase separated) depending on the salt concentration. The rheological behavior of mixed gels corresponded to the shift in the continuous phase from protein to κ-carrageenan. At small concentrations of κ-carrageenan, where carrageenan-rich droplets were dispersed in a continuous protein-rich matrix, gel strength (fracture stress) and firmness (G′) increased due to increased local concentration of proteins caused by phase separation. At higher κ-carrageenan concentrations, gels were substantially less firm, weaker and less deformable (fracture strain). The change in the continuous phase from protein continuous to carrageenan continuous explained the major change in mechanical properties and water-holding properties. The shift in microstructure occurred at lower concentrations of κ-carrageenan when whey proteins were under micro-phase separation conditions. The results demonstrated how the combined mechanisms of ion-induced micro-phase separation of proteins and protein–polysaccharide phase separation and inversion can be used to alter gel structure and texture.     

Review: norovirus prevalence in Belgian, Canadian and French fresh produce: a threat to human health?

Foodborne viruses, especially noroviruses (NoV), are increasingly reported as the cause of foodborne outbreaks. NoV outbreaks have been reported linked to fresh soft red fruits and leafy greens. Belgium, Canada and France were the first countries to provide data about the prevalence of NoV on fresh produce. In total, 867 samples of leafy greens, 180 samples of fresh soft red fruits and 57 samples of other types of fresh produce (tomatoes, cucumber and fruit salads) were analyzed. Firstly, the NoV detection methodology, including virus and RNA extraction, real-time RT-PCR and quality controls were compared among the three countries. In addition, confirmation and genotyping of the NoV strains was attempted for a subset of NoV positive samples using conventional RT-PCR targeting an alternative region followed by sequencing. Analysis of the process control showed that 653, 179 and 18 samples of the leafy greens, soft red fruits and other fresh produce types were valid for analysis based on the recovery of the process control. NoV was detected by real-time RT-PCR in 28.2% (N = 641), 33.3% (N = 6) and 50% (N = 6) of leafy greens tested in Canada, Belgium and France, respectively. Soft red fruits were found positive by real-time RT-PCR in 34.5% (N = 29) and 6.7% (N = 150) of the samples tested in Belgium and France, respectively. 55.5% (N = 18) of the other fresh produce types, analyzed in Belgium, were found NoV positive by real-time RT-PCR. Conventional RT-PCR resulted in an amplicon of the expected size in 19.5% (52/266) of the NoV positive samples where this assay was attempted. Subsequent sequencing was only successful in 34.6% (18/52) of the suspected amplicons obtained by conventional RT-PCR. From this study, using the described methodology, NoV genomes were frequently detected in fresh produce however sequence confirmation was not successful for the majority of the samples tested. Infection or outbreaks were rarely or not known to be related to the NoV positive samples. With the increase in sensitivity of the detection methodology, there is an increasing concern about the interpretation of positive NoV results by real-time amplification. Strategies to confirm the results by real-time RT-PCR should be developed in analogy with the detection of microbial pathogens in foods. Detection might indicate contact with NoV in the fresh produce chain. Consequently, a potential risk for infection cannot be excluded but the actual risk from RT-PCR NoV positive produce is still unknown. Studies should be designed determining the probability of infection related to the presence or levels of NoV genomic copies.     

Factors affecting radiation D-values (D₁₀) of an Escherichia coli cocktail and Salmonella Typhimurium LT2 inoculated in fresh produce

Abstract: This study evaluated the effect of produce type, resuspension medium, dose uniformity ratio (DUR), and sample preparation conditions (tissue exposure, MAP, anoxia) on the D₁₀‐value of an Escherichia coli cocktail (BAA‐1427, BAA‐1428, and BAA‐1430) and Salmonella Typhimurium LT2 inoculated on the surfaces of tomato, cantaloupe, romaine lettuce, and baby spinach. Produce at room temperature were irradiated using a 1.35 MeV Van de Graaf electron beam accelerator at 0.2 to 0.9 kGy. The D₁₀‐values for E. coli and Salmonella were 0.20 ± 0.01 kGy and 0.14 ± 0.01 kGy, respectively. Bacterial inactivation was not affected by produce type as long as the samples were irradiated in unsealed bags, the bacteria were suspended in broth, and the sample tissue was exposed. Sample location in front of the e‐beam source during exposure is crucial. A 20% increase in DUR yielded a 53% change in the D_10‐values. Variations in sample preparation, microbiological methods and irradiation set‐up, result in variable D₁₀‐values for different microorganisms on fresh produce. Practical Applications: Most irradiation studies disregard the effect of sample handling and processing parameters on the determination of the D₁₀‐value of different microorganisms in fresh and fresh‐cut produce. This study shows the importance of exposure of sample, resuspension medium, available oxygen, and dose uniformity ratio. D₁₀‐values can differ by 35% to 53% based on these factors, leading to considerable under‐ or over‐estimation of the irradiation treatment. Results from this study will help to lay firm groundwork for future studies on D₁₀‐values determination for different pathogens on fruits and vegetables.