The fully automated system of single drop microextraction coupled with capillary electrophoresis (SDME-CE) was developed for in-line preconcentration and determination of muscimol (MUS) and psilocin (PSC) from urine samples. Those two analytes are characteristic active metabolites of and mushrooms, evoking visual and auditory hallucinations. Study analytes were selectively extracted from the donor phase (urine samples, pH 4) into the organic phase (a drop of octanol layer), and re-extracted to the acidic acceptor (background electrolyte, BGE), consisting of 25 mM phosphate buffer (pH 3). The optimized conditions for the extraction procedure of a 200 µL urine sample allowed us to obtain more than a 170-fold enrichment effect. The calibration curves were linear in the range of 0.05-50 mg L, with the correlation coefficients from 0.9911 to 0.9992. The limit of detections was determined by spiking blank urine samples with appropriate standards, i.e., 0.004 mg L for PSC and 0.016 mg L for MUS, respectively. The limits of quantification varied from 0.014 mg L for PSC and 0.045 mg L for MUS. The developed method practically eliminated the sample clean-up step, which was limited only to simple dilution (1:1, /) and pH adjustment.
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http://dx.doi.org/10.3390/molecules25071566 | DOI Listing |
Sci Rep
January 2025
Neglected Tropical Diseases Unit, Anambra State Ministry of Health, Awka, Nigeria.
Over the past decade, Mass Administration of Medicines (MAM) has been a key strategy for controlling schistosomiasis and soil-transmitted helminthiasis (STHs) in Anambra State, Nigeria. This longitudinal study, conducted from 2017 to 2019, evaluated the impact of interventions for controlling schistosomiasis (SCH) and STHs in recipient communities. A total of 1,046 pupils aged 5 to 16 years were enrolled, with Kato-Katz and urine filtration methods used for faecal and urine sample analysis.
View Article and Find Full Text PDFJ Ayurveda Integr Med
January 2025
Center for Clinical Research and Education, The University of Trans-Disciplinary Health Sciences and Technology, Bangalore, India; Internal Medicine - Cardiology, University of Michigan, Ann Arbor, MI, USA. Electronic address:
Background: Obesity is a rising risk factor for various diseases including cardiovascular diseases and Cancer. The limitations of targeted obesity-treatment approaches employed in the clinic presently underscore the importance of developing integrative management strategies for identification of specific biomarkers of obesity.
Objectives: Given the specificity of exosome/extracellular vesicle (EV) biomarkers, we aimed here to identify the EV biomarkers of Ayurveda treatment - Lekhana Basti - for Obesity.
J Pharm Biomed Anal
January 2025
School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, PR China. Electronic address:
In recent years, metabolite identification of chemical constituents of traditional Chinese medicine (TCM) has been extensively studied. However, due to the intricacy of metabolic processes and the low concentration of metabolites, identifying metabolites of TCM in vivo is still a tough work. Meanwhile, credibility of metabolite identification through mass spectrum technology has been called into question by reason of the lack of metabolite standards.
View Article and Find Full Text PDFAnim Reprod Sci
January 2025
Department of Gamete and Embryo Biology, Institute of Animal Reproduction and Food Research, Polish Academy of Science, Olsztyn, Poland.
The quality and quantity of stripped and testicular wild northern pike (Esox lucius) sperm was compared and the effectiveness of short-term storage was assessed. Stripped sperm (SS) was collected using abdominal massage. Next, the fish were decapitated and the testes were removed.
View Article and Find Full Text PDFMikrochim Acta
January 2025
Indian Institute of Technology (BHU), Varanasi, 221005, India.
In the modern age, half of the population is facing various chronic illnesses due to glucose maintenance in the body, major causes of fatality and inefficiency. The early identification of glucose plays a crucial role in medical treatment and the food industry, particularly in diabetes diagnosis. In the past few years, non-enzymatic electrochemical glucose sensors have received a lot of interest for their ability to identify glucose levels accurately.
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