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Background: In the United States, 12 million short tons of chlorine are manufactured and transported each year. Due to the volume of this volatile chemical, large- and small-scale chemical exposures occur frequently. To diagnose and treat potentially exposed individuals, reference range values for confirmatory biomarkers are required to differentiate between normal and abnormal exposure levels.
Methods: Serum surplus samples (n = 1780) from the National Health and Nutrition Examination Survey (NHANES) 2015-2016 were measured for 2 chlorine biomarkers, 3-chlorotyrosine (Cl-Tyr) and 3,5-dichlorotyrosine (Cl2-Tyr), by liquid chromatography coupled to a triple quadrupole mass spectrometer. We evaluated demographic factors associated with elevated biomarker levels.
Results: Participant samples were analyzed for the chlorine biomarkers Cl-Tyr and Cl2-Tyr. In the unweighted analysis of these samples, 1349 (75.8%) were under the limit of detection (< LOD) of 2.50 ng/mL for Cl-Tyr and 1773 (99.6%) were < LOD for Cl2-Tyr. Samples within the method reportable range were 2.50 to 35.6 ng/mL for Cl-Tyr and 2.69 to 11.2 ng/mL for Cl2-Tyr. Since only 7 of the 1780 participants had detectable Cl2-Tyr, statistical analysis was limited to Cl-Tyr. Of the demographic characteristics examined, age, body mass index (BMI), estimated glomerular filtration rate (eGFR), and sex exhibited statistically significant differences in the weighted prevalence of detectable Cl-Tyr.
Conclusions: This is the first reported set of Cl-Tyr and Cl2-Tyr population values for the United States. This population range coupled with NHANES demographic information could help healthcare professionals distinguish between normal and abnormal chlorine biomarker levels in an emergency. With this information, an inference could be made when determining acute chlorine exposure in individuals.
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http://dx.doi.org/10.1093/jalm/jfad114 | DOI Listing |
Am J Emerg Med
September 2025
University of Toronto, Rotman School of Management, Canada.
Study Objective: Accurately predicting which Emergency Department (ED) patients are at high risk of leaving without being seen (LWBS) could enable targeted interventions aimed at reducing LWBS rates. Machine Learning (ML) models that dynamically update these risk predictions as patients experience more time waiting were developed and validated, in order to improve the prediction accuracy and correctly identify more patients who LWBS.
Methods: The study was deemed quality improvement by the institutional review board, and collected all patient visits to the ED of a large academic medical campus over 24 months.
Arch Gerontol Geriatr
August 2025
Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing 100049, China. Electronic address:
Background: Frailty is a dynamic condition that may affect mental health. This study aimed to investigate the associations of frailty and its changes with the risks of depressive symptoms across multiple regions in aging populations.
Methods: Data were drawn from five cohort studies in the United States, England, Europe, China, and Mexico.
Environ Sci Technol
September 2025
School of the Environment, The University of Queensland, Brisbane, Queensland 4072, Australia.
As the global urban heat island (UHI) effect intensifies, understanding how UHI intensity responds to its influencing factors changes is critical for designing effective mitigation strategies. We focused on global megacities, shifted the UHI intensity assessment from physical indicators to human-related parameters, and then evaluated how human-centered UHI intensity responded to influencing factor change. We verified a significant discrepancy between traditional UHI intensity and human-centered UHI intensity worldwide, an average absolute difference of 1.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
The Steve Sanghi College of Engineering, Mechanical Engineering, Northern Arizona University, Flagstaff, Arizona 86011, United States.
This study investigates the HO and CO sorption behavior of two chemically distinct polystyrene-divinylbenzene-based ion exchange sorbents: a primary amine and a permanently charged strong base quaternary ammonium (QA) group with (bi)carbonate counter anions. We compare their distinct interactions with HO and CO through simultaneous thermal gravimetric, calorimetric, gas analysis, and molecular modeling approaches to evaluate their performance for dilute CO separations like direct air capture. Thermal and hybrid (heat + low-temperature hydration) desorption experiments demonstrate that the QA-based sorbent binds both water and CO more strongly than the amine counterparts but undergoes degradation at moderate temperatures, limiting its compatibility with thermal swing regeneration.
View Article and Find Full Text PDFAnal Chem
September 2025
Department of Chemistry, The University of Akron, Akron, Ohio 44325, United States.
Tires are complex polymeric materials composed of rubber elastomers (both natural and synthetic), fillers, steel wire, textiles, and a range of antioxidant and curing systems. These constituents are distributed differently among the various tire parts, which are classified based on their function and proximity to the rim. This study presents a rapid and sensitive approach for the characterization of tire components using mild thermal desorption/pyrolysis (TDPy) coupled to direct analysis in real-time mass spectrometry (DART-MS).
View Article and Find Full Text PDF