A simple, sensitive and specific reverse-phase high-performance liquid chromatography (HPLC) assay for the simultaneous quantitative determination of omeprazole and its three metabolites in human plasma was developed and validated. This method provides excellent chromatographic resolution and peak shape for the four components and the internal standard within a 17 min run time. The simple extraction method results in a clean base line and relatively high extraction efficiency. The method was validated over the range of 2-2000 ng/mL, with 2.0 ng/mL as the lower limit of quantification. Within- and between-day accuracies for five different concentrations ranged from 95 to 102%, and 95 to 114%, respectively. Within- and between-day precision ranged from 1.1 to 6.3% and 0.5 to 6.2%, respectively. Simplicity and high throughput make this method suitable for clinical pharmacokinetic studies.
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http://dx.doi.org/10.1016/j.jchromb.2006.07.047 | DOI Listing |
PLoS One
December 2024
Research Department, Philippine Institute for Development Studies, Quezon City, Metro Manila, Philippines.
In resource-limited areas, where accurate weight-for-height Z-scores are hard to obtain, Mid-Upper Arm Circumference (MUAC) is a simple tool to identify wasted children. MUAC alone, however, may miss identification of many wasted children, leading to untimely intervention and potentially death. Our study aimed to identify the best-performing case definition to detect wasting by Weight-for-Height z-scores (WHZ) in Filipino children aged 6-59 months.
View Article and Find Full Text PDFAppl Microbiol Biotechnol
December 2024
Laboratório de Pesquisa em Malária, Instituto Oswaldo Cruz (IOC), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, Brazil.
Malaria, a parasitic disease caused by Plasmodium spp. and transmitted by Anopheles mosquitoes, remains a major global health issue, with an estimated 249 million cases and 608,000 deaths in 2022. Rapid and accurate diagnosis and treatment are crucial for malaria control and elimination.
View Article and Find Full Text PDFNanomaterials (Basel)
December 2024
Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Portici Research Centre, P.le E. Fermi 1, Portici, 80055 Naples, Italy.
In recent years, the morphology control of semiconductor nanomaterials has been attracting increasing attention toward maximizing their functional properties and reaching their end use in real-world devices. However, the development of easy and cost-effective methods for preparing large-scale patterned semiconductor structures on flexible temperature-sensitive substrates remains ever in demand. In this study, vapor post-treatment (VPT) is investigated as a potential, simple and low-cost post-preparative method to morphologically modify gravure-printed zinc oxide (ZnO) nanoparticulate thin films at low temperatures.
View Article and Find Full Text PDFNanomaterials (Basel)
December 2024
Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, ul. Grudziądzka, 5, 87-100 Toruń, Poland.
In this work, we present an experimental approach for monitoring the temperature of submicrometric, real-time operating electrical circuits using luminescence thermometry. For this purpose, we utilized lanthanide-doped up-converting nanocrystals as nanoscale temperature probes, which, combined with a highly sensitive confocal photoluminescence microscope, enabled temperature monitoring with spatial resolution limited only by the diffraction of light. To validate our concept, we constructed a simple model of an electrical microcircuit based on a single silver nanowire with a diameter of approximately 100 nm and a length of about 50 µm, whose temperature increase was induced by electric current flow.
View Article and Find Full Text PDFJ Cardiovasc Dev Dis
December 2024
Cardiovascular Section, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
: Fatal coronary heart disease (FCHD) affects ~650,000 people yearly in the US. Electrocardiographic artificial intelligence (ECG-AI) models can predict adverse coronary events, yet their application to FCHD is understudied. : The study aimed to develop ECG-AI models predicting FCHD risk from ECGs.
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