Glibenclamide, a sulfonylurea derivative (SU) antidiabetic agent was detected in a health food by three different methods: TLC, HPLC, and liquid chromatography-mass spectrometry (LC-MS). For analysis of SU antidiabetics, the sample was extracted with acetone as a sample solution. TLC analysis of the sample solution showed a specific spot that had the same characteristics as those of glibenclamide standard solution. HPLC analysis monitored using a photo-diode array detector showed that the sample solution had a peak with a unique UV spectrum, with coincided with that of standard glibenclamide. In sample solution, LC-MS analysis in positive and negative modes indicated that the (M + H)+ and (M - H)- ions occurred at m/z 494 and m/z 492, respectively. These results indicate that the monoisotopic mass is 493, coincident with that of glibenclamide. Quantitative HPLC analysis showed that the glibenclamide content in the health food was 0.78 mg/capsule (1.55 mg/g of sample contents). Because the initial dosage of glibenclamide for diabetics is 1.25-2.5 mg per day, this health food has sufficient medicinal effect and also has the potential to cause adverse effects.
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http://dx.doi.org/10.1248/yakushi.123.1049 | DOI Listing |
Bioanalysis
January 2025
US FDA, Silver Spring, MD, USA.
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Council for Geoscience, Private Bag X112, Pretoria, 0001, South Africa.
One-step high-pressure and high-temperature direct aqueous mineral carbonation of tailings derived from mining of Platinum Group Metals in South Africa requires a fundamental understanding of the reactivity of the most dominant mineral phases, i.e. pyroxene and plagioclase (66 wt.
View Article and Find Full Text PDFStat Med
February 2025
U.S. Food and Drug Administration, Silver Spring, Maryland.
The recent U.S. Food and Drug Administration guidance on complex innovative trial designs acknowledges the use of Bayesian strategies to incorporate historical information based on clinical expertise and data similarity.
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January 2025
Laboratory of Precision Agriculture (LAP), Department of Biosystems Engineering, "Luiz de Queiroz" College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba 13418-900, São Paulo, Brazil.
Coffee yield exhibits plant-level variability; however, due to operational issues, especially in smaller operations, the scouting and management of coffee yields are often hindered. Thus, a cell-size approach at the field level is proposed as a simple and efficient solution to overcome these constraints. This study aimed to present the feasibility of a cell-size approach to characterize spatio-temporal coffee production based on soil and plant attributes and yield (biennial effects) and to assess strategies for enhanced soil fertilization recommendations and economic results.
View Article and Find Full Text PDFPolymers (Basel)
January 2025
Green Chemistry & Materials Group, Korea Institute of Industrial Technology (KITECH), Cheonan 31056, Republic of Korea.
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