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Chemical fingerprinting to characterize the occurrence state and abundance of organic and inorganic constituents within fine particulate matter (PM2.5) is useful in evaluating the associated health risks and tracing pollution sources. Herein, an analytical strategy for the rapid analysis of metal and organic constituents in PM2.5 was developed employing a combination of sequential chemical extraction coupled with mass spectrometry detection. HO, CHOH, EDTA-2Na, electrochemical oxidation, and electrochemical reduction were sequentially utilized to extract the chemical constituents in PM2.5 samples on a homemade device employing simultaneous online detection using two linear trap quadrupole mass spectrometers (LTQ-MS) with electrospray ionization (ESI) in positive and negative modes. After a single analytical procedure, dozens of metals (e.g., Pb, Cr, and Cu), organic compounds (e.g., amines, polycyclic aromatic hydrocarbons, and aliphatic acids), and negative ions (e.g., NO, NO, and Cl) were comprehensively detected in the water-soluble, liposoluble, insoluble, oxidizable, and reducible fractions of PM2.5 samples, and their physical and chemical relationships were established.
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http://dx.doi.org/10.1021/acs.est.4c01682 | DOI Listing |
Anal Methods
September 2025
Department of Pharmacy, Kunshan Hospital of Integrated Traditional Chinese and Western Medicine, Suzhou, 215332, China.
(GR) is primarily produced in Laiyang and Chifeng. It is a functional food with therapeutic and health-promoting effects due to its antioxidant and anti-inflammatory properties. However, the current standards only stipulate authentication criteria, without establishing a comprehensive evaluation framework to systematically enhance the quality control of GR.
View Article and Find Full Text PDFEnviron Res
September 2025
Department of Environment and Energy, Sejong University, Seoul 05006, South Korea. Electronic address:
Identifying the sources of sedimentary organic matter (OM) is essential for understanding pollution dynamics and guiding effective management in estuarine environments. This study proposes a novel and transferable source tracking framework that integrates Fourier transform infrared (FTIR) and fluorescence spectroscopy with a principal component analysis-absolute principal component score-multiple linear regression (PCA-APCS-MLR) receptor model to apportion OM sources in surface sediments across four South Korean estuaries with contrasting land use. Five new infrared-based indices (IRIs), developed from diagnostic FTIR absorbance features of water-extractable organic matter (WEOM), were designed to capture source-specific functional group compositions linked to terrestrial, synthetic, and petroleum-derived OM.
View Article and Find Full Text PDFPlant Biol (Stuttg)
September 2025
Department of Botany and Center for Biotechnology, Plant Physiology Laboratory, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Erythrina velutina is a tree that thrives in the shallow rocky soils of the dry and hot Caatinga, a unique Brazilian biome. It is rich in specialized metabolites with medicinal properties. Indeed, alkaloids and flavonoids are phytochemical markers of the genus.
View Article and Find Full Text PDFChem Res Toxicol
September 2025
Maseeh Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, Austin, Texas 78712, United States.
Exposure to air pollution plays a significant role in human health. Current methods of measuring human exposure are often limited to outdoor measurements, are time intensive, or are unable to accurately measure certain classes of compounds. This study proposes human hair as a promising indicator of pollution exposure.
View Article and Find Full Text PDFJ Pharm Anal
August 2025
College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
P-glycoprotein (P-gp) is a transmembrane protein widely involved in the absorption, distribution, metabolism, excretion, and toxicity (ADMET) of drugs within the human body. Accurate prediction of P-gp inhibitors and substrates is crucial for drug discovery and toxicological assessment. However, existing models rely on limited molecular information, leading to suboptimal model performance for predicting P-gp inhibitors and substrates.
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