Occurrence and characterization of Arcobacter spp. from ready-to-eat vegetables produced in Southern Italy.

Given that the number of foodborne illness outbreaks linked to the consumption of ready-to-eat vegetables has been widely documented and considering that data on the occurrence of Arcobacter spp. in such foodstuffs are lacking, the aim of the present study was to evaluate the presence of Arcobacter spp. and the occurrence of virulence factors as well as to genotype Arcobacter spp. in ready-to-eat (RTE) vegetable samples, using cultural and biomolecular assays. Arcobacter spp. was detected in 16/110 (14.5%) samples, with A. butzleri being detected in 15/16 and A. cryaerophilus in 1/16 isolates. PCRs aimed at the nine putative virulence genes demonstrated widespread distribution of such genes among A. butzleri and A. cryaerophilus isolates. In addition, multilocus sequence type (MLST) analysis revealed a low genetic diversity within the arcobacters isolates. The results underline the need to develop an appropriate surveillance system based on biomolecular characterization for an integrated microbiological risk assessment of ready-toeat vegetables, and consequently of composite foods.

Classification of bovine carcasses: New biometric remote sensing tools.

Slaughtering plants approved by the European Union have specific processes to guarantee that beef carcasses or halfcarcasses, of no less than eight months of age, are provided with health mark and then classified and identified according to the EU carcass classification grid. This classification is based on three criteria: i) Category, ii) Conformation (SEUROP) and iii) Fat Cover (FC). At the end of the classification process each carcass is given a code, consisting of two letters and a number: this operation is called Identification. The aim of our study was to evaluate how the European beef carcass quality classification is determined according to the experience of the personnel involved, then comparing the results with those yielded by the Android platform application. West Systems, through its West- Zootech division, has developed an Android platform application (SEUROP APP) that allows SEUROP and FC classification with a smart-phone. The photo taken with the smart-phone will yield the necessary angular parameters to determine the conformation class depending on the animal's muscular mass and based on the convexity of some areas on the half-carcass. It also evaluates the ratio between surface of lean tissue and total carcass surface in order to determine the fat cover and complete the classification. The SEUROP APP was able to obtain objective measurements for as much as 84% of the assessments made during the research and development phase.

Occurrence of antibiotic residues in Apulian honey: potential risk of environmental pollution by antibiotics.

The presence of antibiotic residues in honey is widely documented and is attributed almost exclusively to improper beekeeping practices, due to the frequent use of drugs for the treatment of beehive diseases. Therefore, the aim of our research was to evaluate the presence of antibiotics in honeycomb using the Anti-Microbial Array II (AM II) and IV (AM IV) method and to assess the relationship between environmental context and antibiotic residues in honey. The results show the presence of antibiotic residues in 26/50 honey from brood nests samples, confirming the impact of environmental contamination on the health quality of this food product. In addition, subsequent analyses conducted on positive samples reveal the instability over time of antimicrobial molecules in honey. These results highlight the need for further studies in order to understand all likely sources of contamination and to implement a comprehensive safety management plan for honey.

Simultaneous Quantitative Detection of Six Families of Antibiotics in Honey Using A Biochip Multi-Array Technology.

Chemical residues of veterinary drugs such as streptomycin, chloramphenicol, macrolides, sulphonamides, tetracyclines, quinolones and aminoglycosides and other contaminants such as pesticides and heavy metals have been found in honey, leading to concerns for human health. Indeed, there is a growing interest in their presence and persistence in the environment because low levels of antibiotics may favour the proliferation of antibiotic-resistant bacteria. Moreover, antibiotics present in honey may produce residues in foodstuffs, causing adverse effects on humans such as allergic reactions, toxic effects and damage to the central nervous systems. For food and health/safety reasons, antibiotic drugs are not authorized for the treatment of honey bees in the EU, even though these antimicrobial drugs have been approved in many third-party countries. For this reason, contaminated honey products can still be found in European markets. Therefore, there is a need to develop a precise, accurate and sensitive analytical method that may be used to simply and rapidly detect these compounds in honey. The aim of our study was to detect the presence of antibiotics in Apulian honey using the Anti-Microbial array II (AM II) as an innovative screening method to test the health quality of honey and honey products.