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Abstract Cannabis is a multifaceted plant with numerous therapeutic properties on one hand, and controversial psychotropic activities on the other hand, which are modulated by CB1 endocannabinoid receptors. Δ9-Tetrahydrocannabinol (Δ9-THC) has been identified as the main component responsible for the psychotropic effects, while its constitutional isomer cannabidiol (CBD) has shown completely different pharmacological properties. Due to its reported beneficial effects, Cannabis has gained global popularity and is openly sold in shops and online. To circumvent legal restrictions, semi-synthetic derivatives of CBD are now frequently added to cannabis products, producing "high" effects similar to those induced by Δ9-THC. The first semi-synthetic cannabinoid to appear in the EU was obtained through cyclization and hydrogenation of CBD, and is known as hexahydrocannabinol (HHC). Currently, there is limited knowledge regarding HHC, its pharmacological properties, and its prevalence, as it is not commonly investigated in routine toxicological assays. In this study, synthetic strategies were explored to obtain an excess of the active epimer of HHC. Furthermore, the two epimers were purified and individually tested for their cannabinomimetic activity. Lastly, a simple and rapid chromatographic method employing a UV detector and a high-resolution mass spectrometer was applied to identify and quantify up to ten major phytocannabinoids, as well as the HHC epimers, in commercial cannabis samples.

Background: Bulk milk samples from 69 dairy buffalo farms of the Campania Region, Italy were drawn for the determination of 20 selected elements by ICP-MS. The main goal was to ascertain how the agricultural soil geo-chemistry could influence the milk pattern with respect to feeding practices. Methods: Local forages (N = 207) and groundwater (N = 486) were analyzed too to recover the feeding-to-milk carry-over rates (COR) of selected elements and identify the main contributors to milk contamination. Left censored data >10% limited to 11 elements (Mn, As, Se, Sr, Zn, Cr, Fe, Co, Ni, Cu, and V) the multivariate system approach based on cluster and factor analysis. Results: We identified 8/11 elements - Sr, Mn, Zn, Co, Se, Cr, Fe, and V - explaining the main quote of variation observed among farms milk pattern. In particular, Co resulted as discriminant for specific villages of the Salerno Province. On median values, cereals (34%) and feed supplement (31%) represented the main contributors to Cr intake; for V, hay (46%) and water (42%); for Fe, water (46%); for Se, Co and Zn, mineral supplements (67; 73; 82%); for Sr, hay (71%), for Mn, mineral supplements (36%) and water (30%). Median CORs rates (%) were the following: Se and Cr: 40; V: 13; Mn: 5.2; Sr: 4.7; Zn: 3.7; Co: 3.4; Fe: 1.6; respectively. Conclusion: The factor analysis could trace the geographical origin of buffalo milk at farm level, according to similar management practices, partially irrespective of the municipality/province level.

The aim of this study was to evaluate the concentrations of polycyclic aromatic hydrocarbons (PAHs) in 1168 groundwater samples of the Campania Plain (Southern Italy), taken using a municipal environmental pressure index (MIEP), and to analyze the distribution of these compounds to determine source PAHs using ratios of isomers diagnostic. Lastly, this study also aimed to estimate the potential health cancer risk in groundwaters. The data indicated that the highest concentration of PAHs was found in groundwater from Caserta Province and the contents of BghiP, Phe, and Nap were detected in the samples. The spatial distribution of these pollutants was evaluated using the Jenks method; moreover, the data indicated that incremental lifetime cancer risk ILCRingestion ranged from 7.31 × 10−20 to 4.96 × 10−19, while ILCRdermal ranged from 4.32 × 10−11 to 2.93 × 10−10. These research findings may provide information about the Campania Plain’s groundwater quality and aid in the development of preventative measures to lessen PAH contamination in groundwater.

Honeybees and hive products have long been recognized as excellent bio-indicators, as they provide valuable information on the state of the environments concerned. As yet, however, no tool is capable of contextually assessing the level of pollution of different environmental matrices in order to create maps of areas in which to place hives. In this paper, a possible method of creating a regional map to support the implementation of targeted monitoring plans on beekeeping is described. We obtained and identified related-activity pressure factors, which were subsequently combined by means of a multi-criteria approach through the analytic hierarchy process method (AHP). The different levels used were drawn up by first attributing qualitative values; these were converted into quantitative values through scoring elaborations and pair comparisons and then elaborated and standardized by means of different techniques in order to create an index with a spatial distribution of five risk classes throughout the region. To verify the correct execution of the procedure, a consistency ratio method was implemented on this index and validated the reliability of the application as the main source of information for sampling activities on beekeeping products. Creation of the specific environmental risk index enabled us to construct a map displaying the areas of greatest impact on beekeeping activities and a representation of the cumulative effects generated by the different pollutants in the air, water, soil and subsoil compartments. This index may, therefore, constitute an essential tool to support beekeepers in choosing sites for their apiaries.

The aim of the present study is to assess saliva as a reliable specimen for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection by real-time reverse transcription-PCR (RT-PCR), especially in community mass screening programs. The performance analysis considered 1,221 total samples [nasopharyngeal (NP) swabs and corresponding saliva], tested by means of a reference diagnostic real-time RT-PCR assay. Conflicting results were further investigated with a second, more sensitive, reference assay. Analysis of agreement showed a good concordance (95.82%), with a k coefficient value of.74 (p < 0.001); moreover, a follow-up analysis revealed the presence of viral gene targets in saliva samples at the time point the corresponding NP swabs turned negative. Data obtained prove the reliability of this alternative biofluid for SARS-CoV-2 detection in real-time RT-PCR. Considering the role of saliva in the coronavirus disease 2019 (COVID-19) transmission and pathogenesis, and the advantages in the use of salivary diagnostics, the present validation supports the use of saliva as an optimal choice in large-scale population screening and monitoring of the SARS-CoV-2 virus.

SARS-CoV-2, the causative agent of the COVID-19 pandemic, has rarely been associated with transmission from humans to animals (reverse zoonotic transmission). In this retrospective study, the authors reviewed data obtained from 236 animals, including buffaloes, goats/sheep, horses, carrier pigeons, rabbits, hens, snakes, pigs and cows that were screened for SARS-CoV-2 infection because they had been in contact with their SARS-CoV-2-positive breeder for at least 2 weeks. None of the tested animals were found to be positive. The authors' findings suggest that the risk of reverse zoonotic transmission among bred animals and SARS-CoV-2-positive breeders is very low or nonexistent. Additional studies are warranted.

The onset of the new SARS-CoV-2 coronavirus encouraged the development of new serologic tests that could be additional and complementary to real-time RT-PCR-based assays. In such a context, the study of performances of available tests is urgently needed, as their use has just been initiated for seroprevalence assessment. The aim of this study was to compare four chemiluminescence immunoassays and one immunochromatography test for SARS-Cov-2 antibodies for the evaluation of the degree of diffusion of SARS-CoV-2 infection in Salerno Province (Campania Region, Italy). A total of 3,185 specimens from citizens were tested for anti-SARS-CoV-2 antibodies as part of a screening program. Four automated immunoassays (Abbott and Liaison SARS-CoV-2 CLIA IgG and Roche and Siemens SARS-CoV-2 CLIA IgM/IgG/IgA assays) and one lateral flow immunoassay (LFIA Technogenetics IgG–IgM COVID-19) were used. Seroprevalence in the entire cohort was 2.41, 2.10, 1.82, and 1.85% according to the Liaison IgG, Abbott IgG, Siemens, and Roche total Ig tests, respectively. When we explored the agreement among the rapid tests and the serologic assays, we reported good agreement for Abbott, Siemens, and Roche (Cohen's Kappa coefficient 0.69, 0.67, and 0.67, respectively), whereas we found moderate agreement for Liaison (Cohen's kappa coefficient 0.58). Our study showed that Abbott and Liaison SARS-CoV-2 CLIA IgG, Roche and Siemens SARS-CoV-2 CLIA IgM/IgG/IgA assays, and LFIA Technogenetics IgG-IgM COVID-19 have good agreement in seroprevalence assessment. In addition, our findings indicate that the prevalence of IgG and total Ig antibodies against SARS-CoV-2 at the time of the study was as low as around 3%, likely explaining the amplitude of the current second wave.