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Background and Objective Co-Crystal of Tramadol–Celecoxib (CTC), in development for the treatment of moderate to severe acute pain, is a first-in-class co-crystal containing a 1:1 molecular ratio of two active pharmaceutical ingredients; rac-tramadol·HCl and celecoxib. This randomised, open-label, crossover study compared the bioavailability of both components after CTC administration under fed and fasting conditions. Methods Healthy adults received single doses of 200 mg CTC under both fed and fasting conditions (separated by a 7-day washout). Each dose of CTC was administered orally as two 100 mg tablets, each containing 44 mg tramadol·HCl and 56 mg celecoxib. In the fed condition, a high-fat, high-calorie meal [in line with recommendations by the US Food and Drug Administration (FDA)] was served 30 min before CTC administration. Tramadol, O -desmethyltramadol and celecoxib plasma concentrations were measured pre- and post-dose up to 48 h. Pharmacokinetic parameters were calculated using non-compartmental analysis. Safety was also assessed. Results Thirty-six subjects (18 female/18 male) received one or both doses of CTC; 33 provided evaluable pharmacokinetic data under fed and fasting conditions. For tramadol and O -desmethyltramadol, fed-to-fasting ratios of geometric least-squares means and corresponding 90% confidence interval (CI) values for maximum plasma concentration ( C max ) and extrapolated area under the plasma concentration–time curve to infinity (AUC ∞ ) were within the pre-defined range for comparative bioavailability (80–125%). For celecoxib, C max and AUC ∞ fed-to-fasting ratios (90% CIs) were outside this range, at 130.91% (116.98–146.49) and 129.34% (121.78–137.38), respectively. The safety profile of CTC was similar in fed and fasting conditions. Conclusions As reported for standard-formulation celecoxib, food increased the bioavailability of celecoxib from single-dose CTC. Food had no effect on tramadol or O -desmethyltramadol bioavailability. Clinical trial registration number 152052 (registered with the Therapeutic Products Directorate of Health Canada)

As a novel approach, polyfloral honey originating from the three regions of the Caribbean Island of the Dominican Republic (D.R.) was analyzed. Using the HPLC-DAD technique, 10 specific flavonoids (FLV) together with 9 phenolic acids (PHA) were identified and compared with Spanish polyflorals (commercial brands, artisanal beekeepers, and experimental apiaries). On average, the total content of FLV and PHA was much higher in Spanish (14.2 and 20.1 mg/kg) than in D.R. (10.8 and 4.5 mg/kg) honeys. Unlike in Dominican honeys, chrysin (in FLV) and vanillic acid (in PHA) had the greatest impact on Spanish honey, with the latter alone accounting for more than 50% of the quantified PHAs. Unsupervised Principal Component Analysis (PCA) showed that the information provided by both FLV and PHA allowed us to differentiate honeys according to their geographical origin, particularly at the country level. Furthermore, a stepwise discriminant-analysis identified the PHA ferulic acid followed by the FLVs apigenin-7-glucoside, chrysin, and naringenin as the most influential compounds for distinguishing among groups of honeys. The resulting model correctly classified 80.3% of the original and 71.2% of the cross-validated cases, indicating acceptable efficiency and robustness. These findings highlight the potential of the analyzed compounds for the geographical authentication of honey, providing the beekeeping sector with valuable tools for ensuring honey provenance.

As in the case of the food industry in general, there is a global concern about safety and quality in complex food matrices, such as honey, which is driving the demand for fast, sensitive and affordable analytical techniques across the honey-packaging industry. Although excellent techniques such as liquid chromatography-tandem mass spectrometry (LC-MS/MS) are available, these are located in centralized laboratories and are still lacking in speed, simplicity and cost-effectiveness. Here, a new approach is presented where a competitive immunoassay is combined with a novel High Fundamental Frequency Quartz Crystal Microbalance with Dissipation (HFF-QCMD) array biosensor for the simultaneous detection of antibiotics and pesticides in honey. Concretely, thiabendazole and sulfathiazole residues were monitored in spiked honey samples. Results revealed that HFF-QCMD arrays provide a complementary and reliable tool to LC-MS/MS for the analysis of contaminants in these kinds of complex matrices, while avoiding elaborate sample pre-treatment. The good sensitivity achieved (I50 values in the 70–720 µg/kg range) and the short analysis time (60 min for 24 individual assays), together with the ability for multiple analyte detection (24 sensor array) and its cost-effectiveness, pave the way for the implementation of a fast on-line, in situ routine control of potentially hazardous chemical residues in honey.