Discriminative power of DNA-based, volatilome, near infrared spectroscopy, elements and stable isotopes methods for the origin authentication of typical Italian mountain cheese using sPLS-DA modeling.

Origin authentication methods are pivotal in counteracting frauds and provide evidence for certification systems. For these reasons, geographical origin authentication methods are used to ensure product origin. This study focused on the origin authentication (i.e. at the producer level) of a typical mountain cheese origin using various approaches, including shotgun metagenomics, volatilome, near infrared spectroscopy, stable isotopes, and elemental analyses. DNA-based analysis revealed that viral communities achieved a higher classification accuracy rate (97.4 ± 2.6 %) than bacterial communities (96.1 ± 4.0 %). Non-starter lactic acid bacteria and phages specific to each origin were identified. Volatile organic compounds exhibited potential clusters according to cheese origin, with a classification accuracy rate of 90.0 ± 11.1 %. Near-infrared spectroscopy showed lower discriminative power for cheese authentication, yielding only a 76.0 ± 31.6 % classification accuracy rate. Model performances were influenced by specific regions of the infrared spectrum, possibly associated with fat content, lipid profile and protein characteristics. Furthermore, we analyzed the elemental composition of mountain Caciotta cheese and identified significant differences in elements related to dairy equipment, macronutrients, and rare earth elements among different origins. The combination of elements and isotopes showed a decrease in authentication performance (97.0 ± 3.1 %) compared to the original element models, which were found to achieve the best classification accuracy rate (99.0 ± 0.01 %). Overall, our findings emphasize the potential of multi-omics techniques in cheese origin authentication and highlight the complexity of factors influencing cheese composition and hence typicity.

HEMATOLOGY AND BIOCHEMISTRY REFERENCE INTERVALS FOR REHABILITATED EUROPEAN BADGERS (MELES MELES).

The goal of this study was to establish routine reference intervals (RI) for common laboratory tests for the European badger (Meles meles). Blood samples were collected from 13 female and 11 male adult European badgers in a wildlife rehabilitation facility and used for standard hematology and biochemistry analyses. The established 95% RI (2.5th-97.5th percentile) were determined by either parametric (normally distributed data) or robust (nonnormal data) statistical methods and showed a lower range of variability compared with those reported in previous literature. Sex did not affect any investigated parameters. As the first RI study on free-living European badgers in Italy, these reported hematology and serum chemistry RI provide a set of accurate and reliable laboratory parameters for this species.