This contribution aims to design and validate a new green, cheap, and fast approach for determining the anti-GERD drug pantoprazole in different matrices. New S and N-doped carbon nanomaterials (S,N-CNMs) have been prepared via microwave irradiation of a mixture of widely available household sources. Remarkably, the utilization of a blend of carbamide and thiocarbamide with table sugar yields S,N-CNMs exhibiting the utmost quantum yield (54 %), hydrophilicity, as well as stable, homogeneous, and diminutive particle size distribution. Fourier transform infrared spectroscopy, transmission electron microscopy, spectrophotometry, and fluorescence spectroscopy were applied to characterize the S,N-CNMs. The S,N-CNMs have been used as a turn-off fluorescence probe to determine pantoprazole via a synergism of the inner filter effect and static quenching mechanisms. The fluorescence quenching is linearly correlated to pantoprazole concentration over the range of 1.0-25.0 µg/mL with a detection limit of 0.16 µg/mL. The developed probe exhibited good selectivity for pantoprazole in the presence of variability of substances. Therefore, it was applied for quality control of pantoprazole in pharmaceutical tablets and vials with an average recovery % of 100.10 ± 0.77 % and 100.33 ± 0.92 %, respectively. Moreover, it was successfully implemented to examine the content uniformity of pantoprazole in tablets. Furthermore, the prepared S,N-CNMs have been successfully used for the analysis of pantoprazole in human plasma after a simple protein precipitation step with a recovery % of 97.88 ± 5.72 %. The greenness and blueness of the developed method have been positively assessed by recent tools showing the eco-friendliness and applicability of the developed method.

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Due to their susceptibility to degradation, vitamin levels in food formulations may differ from those found in the finished product. Vitamin levels can be impacted by processing and storage. In this work, the ingredients of Strong B50 ® film-coated tablets were estimated simultaneously using simple efficient stability indicating HPLC method. Strong B50 ® film-coated tablets contain thiamine (VB1), riboflavin (VB2), calcium pantothenate (VB5), pyridoxine (VB6), vitamin C (VC), folic acid (FA), biotin (BT), inositol (IS), niacin (NC), para-aminobenzoic acid (PB), cyanocobalamine (B12), choline bitartarate, and iron gluconate. Hypersil BDS C18 column was used for achieving reasonable separation. Mobile phases (A) and (B) were utilized, the mobile phase (A) consisted of 0.015 M Hexane sulfonic acid sodium salt + 0.1 % Triethylamine and orthophosphoric acid was used to adjust the pH to (2.9) while (B) system consisted of acetonitrile. Validation of the method was assessed using International Conference of Harmonization (ICH) parameters, where linearity, accuracy, selectivity, and robustness of the method were investigated. Correlations were above 0.99, accuracy results ranged from 97.6 to 102.8 % and limits for detection and quantitation (LOD and LOQ) values were determined for each vitamin in μg/mL except for FA and BT in ng/mL. LOD values were between 0.006 and 15.08 μg/mL while LOQ values ranged from 0.031 to 49.77 μg/mL. Stability studies were conducted under stressed conditions and degradation percentages were computed. Where, VB5, VB6, FA and PB, VC, and NC were the most degradable vitamins. Whiteness evaluation using the modern RGB 12 algorithm compared our method and the old reported one by Sasaki et al., 2020. The comparison favored our newly developed method in terms of analytical performance, practical applicability and greenness. Besides, AGREE and GAPI soft wares were used to assess the greenness of the method. It was clear that the results of colored pictograms confirm low hazardous impact and that the new method is greener with AGREE score of 0.66. Furthermore, the functionality and applicability of the novel HPLC approach were concluded via the Blue Applicability Grade Index (BAGI) tool with a final score of 82.5.

The global increase in non-communicable diseases (NCDs) presents a critical public health concern. Emerging evidence suggests that exposure to natural environments may reduce the risk of developing NCDs through multiple pathways. The present systematic review aims to synthesize and evaluate the observational evidence regarding associations between exposure to green and blue spaces and hospital admissions related to NCDs. A comprehensive literature search strategy was conducted in Embase (Ovid), PubMed, and Web of Science. The risk of bias and quality of the evidence were assessed using The Navigation Guide methodology, an approach specifically designed for environmental health research. Of 3060 search results, 17 articles were included. Notably, the majority of the studies (n = 14; 82.4%) were published from 2020 onwards. Most studies were conducted in the United States (n = 6; 35.3%) and China (n = 4; 23.5%). Exposure to green spaces was assessed through all studies, while only three included blue spaces. In terms of study design, cohort design was employed in nearly half of the studies (n = 8; 47.1%), followed by case-crossover design (n = 3, 17.6%). Over 75% of the included studies (n = 13) had a high or probably high rating in the risk of bias assessment. The studies encompassed diverse NCD outcome domains; cardiovascular diseases (CVDs) (n = 10), respiratory diseases (RSDs) (n = 2), heat-related diseases (n = 1), metabolic diseases (n = 2), cancer (n = 1), neurodegenerative diseases (NDDs) (n = 2), and mental health disorders (n = 2). The present review suggests that a clear link between blue space exposure and NCD hospital admissions is not evident. However, exposure to green spaces appears to predominantly have a protective effect, although the direction of the association varies across different outcome domains. The heterogeneity among the outcome domains together with the limited number of studies, emphasizes the need for more robust evidence.