In order to develop a rapid inexpensive test for cadmium in rice, we identified an antibody specific for cadmium-EDTA complexes; this antibody binds to cadmium-EDTA with a Kd of approximately 10(-8) M. Although the antibody's cross reactivity to magnesium was minimal (Kd approximately 10(-5) M), the high toxicity of cadmium coupled with the high natural occurrence of magnesium in rice resulted in a situation where magnesium interfered with cadmium determination and resulted in falsely elevated estimates of cadmium. Fortunately, the formation constant of EDTA for cadmium is approximately 5 x 10(7) times higher (at pH 7) than the formation constant of EDTA for magnesium, and we were able to eliminate the magnesium interference by judicious selection of the EDTA concentration used in the assay. The resulting equilibria are complex, but we show that a relatively simple two-step model in which cadmium and magnesium compete for EDTA followed by cadmium-EDTA and magnesium-EDTA competing for antibody provided a good fit to the measured data. These analyses enabled appropriate selection of the optimum EDTA concentration for an immunoassay with improved selectivity.
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http://dx.doi.org/10.1021/jf8011147 | DOI Listing |
PLoS One
January 2025
Transfers, Interfaces and Processes, Université libre de Bruxelles, Brussels, Belgium.
In this paper, we present a new computational framework for the simulation of airway resistance, the fraction of exhaled nitric oxide, and the diffusion capacity for nitric oxide in healthy and unhealthy lungs. Our approach is firstly based on a realistic representation of the geometry of healthy lungs as a function of body mass, which compares well with data from the literature, particularly in terms of lung volume and alveolar surface area. The original way in which this geometry is created, including an individual definition of the airways in the first seven generations of the lungs, makes it possible to consider the heterogeneous nature of the lungs in terms of perfusion and ventilation.
View Article and Find Full Text PDFBiochemistry
January 2025
School of Biology, Biomedical Sciences Research Complex, University of St Andrews, St Andrews KY16 9ST, United Kingdom.
The enzyme 4-oxo-l-proline reductase (BDH2) has recently been identified in humans. BDH2, previously thought to be a cytosolic ()-3-hydroxybutyrate dehydrogenase, actually catalyzes the NADH-dependent reduction of 4-oxo-l-proline to -4-hydroxy-l-proline, a compound with known anticancer activity. Here we provide an initial mechanistic characterization of the BDH2-catalyzed reaction.
View Article and Find Full Text PDFJ Epidemiol Glob Health
January 2025
Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, No.7, Chung Shan S. Rd., Zhongzheng District, Taipei City, 100225, Taiwan.
Background: Lipids are known to be involved in carcinogenesis, but the associations between lipid profiles and different lung cancer histological classifications remain unknown.
Methods: Individuals who participated in national adult health surveillance from 2012 to 2018 were included. For patients who developed lung cancer during follow-up, a 1:2 control group of nonlung cancer participants was selected after matching.
J Mol Model
January 2025
School of Chemistry and Chemical Engineering, Xian Yang Normal University, Xian Yang, China.
Context: This study investigates the reaction mechanism of luteolin with selenium dioxide in ethanol. Through a detailed search for transition states and thermodynamic energy calculations, it was found that the reaction proceeds via two possible pathways, leading to the formation of products P1 and P2, respectively. A common feature of both pathways is that the first elementary step results in the formation of the intermediate INT1.
View Article and Find Full Text PDFJ Mol Model
January 2025
College of Chemical Engineering, Fuzhou University, Fuzhou, 350116, People's Republic of China.
Context: The rotating arc plasma technique for the synthesis of nitrogen-doped graphene capitalizes on the distinctive attributes of plasma, presenting a straightforward, efficient, and catalyst-free strategy for the production of nitrogen-doped graphene. However, experimental outcomes generally fail to elucidate the atomic-level mechanism behind this process. Our research utilizes molecular dynamics simulations to explore theoretically the formation of radicals during the plasma-driven reaction between methane (CH₄) and nitrogen (N₂).
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