The atmospheric dicarboxylic acids (DCAs) have a significant impact on the climate and indirectly affect human health, making them important organic substances. PM bound DCAs were analysed for Jorhat, India, 2019. In addition to the temporal variability, seasonal variation throughout the year and the impact of varying meteorological factors on DCAs concentration have also been studied. It has been noted that precipitation and ambient air temperature considerably impact DCA concentrations, which affect the type of source contribution of DCAs. The average concentration of all DCAs was 107.04 ± 97.54 ng/m, with a higher prevalence of high molecular weight DCAs than low molecular weight DCAs. Correlation analysis, water-soluble inorganic species, EC-OC ratio and diagnostic ratios of DCAs were employed to determine whether DCAs originate from direct emission and/or from photochemical oxidation of biogenic or anthropogenic precursors. DCAs concentration varied seasonally in decreasing order, with the maximum in the monsoon (144.24 ± 101.62 ng/m) followed by winter (138.36 ± 95.11 ng/m), post-monsoon (80.72 ± 37.27 ng/m), and summer (36.64 ± 34.52 ng/m). Air mass back trajectory and concentration-weighted trajectory (CWT) were used to show both short and long-range air mass transport with moderate to high DCAs contribution regions. Photochemical oxidation of diacids precursors predominates during the monsoon season, whereas in winter, direct anthropogenic emissions account for the majority of DCAs.
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http://dx.doi.org/10.1007/s11356-025-35971-x | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, 208016, India.
The atmospheric dicarboxylic acids (DCAs) have a significant impact on the climate and indirectly affect human health, making them important organic substances. PM bound DCAs were analysed for Jorhat, India, 2019. In addition to the temporal variability, seasonal variation throughout the year and the impact of varying meteorological factors on DCAs concentration have also been studied.
View Article and Find Full Text PDFCell Signal
January 2025
Department of Cardiovascular Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China; Future Medical laboratory, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. Electronic address:
Background: Dichloroacetate (DCA) has shown potential in modulating cellular metabolism and inflammation, particularly in cardiac conditions. This study investigates DCA's protective effects in a mouse model of myocardial infarction (MI), focusing on its ability to enhance cardiac function, reduce inflammation, and shift macrophage polarization from the pro-inflammatory M1 to the anti-inflammatory M2 phenotype.
Methods: An acute MI model was created using left anterior descending coronary artery ligation.
Front Oncol
January 2025
Department of Breast and Thyroid Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, China.
Background: Breast conserving surgery (BCS) is a standard treatment for breast cancer. Intraoperative frozen section analysis (FSA) is widely used for margin assessment in BCS. In addition, FSA-assisted excisional biopsy is still commonly practiced in many developing countries.
View Article and Find Full Text PDFLangmuir
January 2025
Department of Mechanical Engineering, Imperial College London, South Kensington Campus, London SW7 2BX, United Kingdom.
Engine deposits can reduce performance and increase emissions, particularly for modern direct-injection fuel delivery systems. Surfactants known as deposit control additives (DCAs) adsorb and self-assemble on the surface of deposit precursors to keep them suspended in the fuel. Here, we show how molecular simulations can be used to virtually screen the ability of surfactants to bind to polyaromatic hydrocarbons, comprising a major class of carbonaceous deposits.
View Article and Find Full Text PDFTransl Cancer Res
December 2024
College of Life Science, North China University of Science and Technology, Tangshan, China.
Background: Esophageal cancer (EC) is one of the most common malignant tumors worldwide, which has severely threatened human health. This study aims to evaluate the prognostic factors and predictors of survival in patients diagnosed with advanced lower third esophageal carcinoma (aLEC). Based on the Surveillance, Epidemiology, and End Results (SEER) database, we developed a model (nomogram) to provide accurate and individualized survival prediction for the patients who have lost the opportunity to undergo radical surgery.
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