In the present study the photochemical fate of organoiodine compound - amiodarone was performed. The drug turned out to be highly susceptible to UV-Vis irradiation, especially in the presence of humic substances and organic matrix. Qualitative LC-MS analysis revealed formation of twelve - mainly previously unreported - transformation products (TPs). Four major TPs were submitted to the toxicity analysis with the use of D. magna. All of the tested TPs presented higher toxic potential than the parent compound. The phenolic TPs were approximately 100 times more toxic than amiodarone. Toxic properties of the major TPs resulted in steadily increasing toxic potential of the photo-generated mixture over the time of irradiation. Moreover, the experimental toxicity data, concerning the TPs, were compared with results estimated by 6 in silico models with the use of a multivariate chemometric analysis. The results showed that the applied computational methods were able neither to correctly predict toxic properties of the studied compounds, nor the trends in change of their toxic parameters. Additional validation of in silico models ability to predict toxicity of iodinated organic compounds showed that the studied computational methods do not present sufficient prediction ability. Therefore their estimations concerning organoiodines should be verified using experimental tests.
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http://dx.doi.org/10.1016/j.chemosphere.2021.133420 | DOI Listing |
Food Chem
January 2025
Federal University of Bahia, School of Pharmacy, Ondina, 40170-115 Salvador, Bahia, Brazil.
This study investigated the effects of thermal pasteurization, thermal pasteurization with additives, and high-intensity ultrasound techniques on the storage of cocoa honey (Theobroma cacao L.) over a 28-day period. Physicochemical analyses revealed significant differences among the treatments, with thermal pasteurization maintaining stability for up to 14 days, pasteurization with additives for up to 28 days, and ultrasound treatment for up to 21 days.
View Article and Find Full Text PDFAntibiotics (Basel)
January 2025
Department of Food Chemistry and Nutrition, Faculty of Pharmacy, Jagiellonian University Medical College, 31-008 Cracow, Poland.
Background/objectives: Developing antifungal drugs with lower potential for interactions with food may help to optimize treatment and reduce the risk of antimicrobial resistance. Chemometrics uses statistical and mathematical methods to analyze multivariate chemical data, enabling the identification of key correlations and simplifying data interpretation. We used the partial least squares (PLS) approach to explore the correlations between various characteristics of oral antifungal drugs (including antifungal antibiotics) and dietary interventions, aiming to identify patterns that could inform the optimization of antifungal therapy.
View Article and Find Full Text PDFFoods
January 2025
Programa de Pós-Graduação em Ciências Farmacêuticas, Faculdade de Farmácia, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil.
Brazilian stingless bee species produce honey with distinct physicochemical and bioactive properties shaped by environmental factors. This study investigated the effects of the rainy and dry seasons on the physicochemical characteristics, chemical fingerprinting, mineral content, and antioxidant capacity of honey from and . The honey samples were analyzed for their phytochemical properties (official methods), total phenolics (Folin-Ciocalteu method), flavonoid content (aluminum complex formation method), antioxidant capacity (FRAP and ABTS assays), and antioxidant activity (erythrocyte model).
View Article and Find Full Text PDFFood Sci Nutr
January 2025
Nutrition and Bromatology Group, Department of Analytical Chemistry and Food Science, Instituto de Agroecoloxía e Alimentación (IAA) - CITEXVI Universidade de Vigo Vigo Spain.
The Asteraceae family has been of significant concern for ethnobotanical studies, thanks to its health-promoting properties linked to a plethora of bioactive compounds, among which phenolic compounds play a critical role. In this work, a workflow based on computational chemometrics was employed to assess the authenticity and biomarker search of five key Asteraceae species commonly employed in traditional medicine. The UHPLC-DAD-ESI/MS-MS phenolic profile of Asteraceae extracts was combined with the evaluation of several in vitro biological properties.
View Article and Find Full Text PDFFood Chem
January 2025
Laboratory of Viticulture, School of Agriculture, Faculty of Agriculture Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
A non-targeted analytical approach using gas chromatography-mass spectrometry (GC-MS) is proposed for the analysis of the free and bound volatile fractions of three emblematic indigenous Greek white winegrape varieties belonging to Vidiano, Malagousia, and Savvatiano and establish volatile varietal markers using multivariate chemometrics. A total of 89 free and 103 bound volatile compounds were identified, categorized into alcohols, aldehydes, esters, acids, terpenes, norisoprenoids, C6 compounds, phenols, and ketones. A robust Partial Least Squares Discriminant Analysis (PLS-DA) prediction model was developed and validated, and successfully classified the grape samples according to the variety with 100 % accuracy, demonstrating the potential of volatile profiling as a non-targeted fingerprinting approach for varietal discrimination.
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