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There is an increasing need for comparable and harmonized retention times () in liquid chromatography (LC) among different laboratories, to provide supplementary evidence for the identity of compounds in high-resolution mass spectrometry (HRMS)-based suspect and nontarget screening investigations. In this study, a rigorously tested, flexible, and less system-dependent unified retention time index (RTI) approach for LC is presented, based on the calibration of the elution pattern. Two sets of 18 calibrants were selected for each of ESI+ and ESI-based on the maximum overlap with the retention times and chemical similarity indices from a total set of 2123 compounds. The resulting calibration set, with RTI set to range between 1 and 1000, was proposed as the most appropriate RTI system after rigorous evaluation, coordinated by the NORMAN network. The validation of the proposed RTI system was done externally on different instrumentation and LC conditions. The RTI can also be used to check the reproducibility and quality of LC conditions. Two quantitative structure-retention relationship (QSRR)-based models were built based on the developed RTI systems, which assist in the removal of false-positive annotations. The applicability domains of the QSRR models allowed completing the identification process with higher confidence for substances within the domain, while indicating those substances for which results should be treated with caution. The proposed RTI system was used to improve confidence in suspect and nontarget screening and increase the comparability between laboratories as demonstrated for two examples. All RTI-related calculations can be performed online at http://rti.chem.uoa.gr/.
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http://dx.doi.org/10.1021/acs.analchem.1c02348 | DOI Listing |
Environ Sci Technol
September 2025
Oregon State University, Department of Biological & Ecological Engineering, Corvallis, Oregon 97331-4501, United States.
Chemical forensics aims to identify major contamination sources, but existing workflows often rely on predefined targets and known sources, introducing bias. Here, we present a data-driven workflow that reduces this bias by applying an unsupervised machine learning technique. We applied both nonmetric multidimensional scaling (NMDS) and non-negative matrix factorization (NMF) on the same nontargeted chemical data set to compare their different interpretations of environmental sources.
View Article and Find Full Text PDFACS Omega
August 2025
Department of Chemical and Biomolecular Engineering, Plasma Research Laboratory, Clarkson University, 8 Clarkson Avenue, Potsdam, New York 13699, United States.
Electrical discharge plasmas rapidly degrade short-chain (SC) per- and polyfluoroalkyl substances (PFAS) in the presence of sacrificial surfactants. These surfactants facilitate the transport of PFAS to the plasma-liquid interface through electrostatic and hydrophobic interactions, where PFAS and surfactants are ultimately degraded. This study investigates the degradation of perfluorobutanesulfonate (PFBS) by nonthermal plasma, both in the absence and presence of quaternary alkyl trimethylammonium surfactants: octyl-, dodecyl-, and hexadecyl trimethylammonium bromide (C8TAB, C12TAB, and C16TAB, respectively).
View Article and Find Full Text PDFAnal Bioanal Chem
September 2025
Environmental Forensics and Metabolomics Laboratory, Department of Environmental and Resource Engineering, Technical University of Denmark, Bygningstorvet, Building 115, Kongens Lyngby, 2800, Hovedstaden, Denmark.
In this study, we develop and present an open-access LC-electrospray-HRMS/MS forward in silico fragmentation spectral library, based on the NORMAN Suspect List Exchange containing 120,514 chemicals, that can be used for level 3 annotations to support elucidation of the dark molecular features detected in environmental, exposomic, food safety, and forensic investigations. Using these forward generated in silico spectral libraries, several pollutants previously unreported in non-targeted workflows were discovered in groundwater for the first time through retrospective non-targeted screening analysis. Among these are xenobiotics such as hexafluoroacetone, hexazinone metabolites A, B, and C, and transformation products of triflusulfuron, fluazifop-butyl, triallate, and propiconazole.
View Article and Find Full Text PDFJ Chromatogr A
October 2025
State Key Laboratory of Advanced Environmental Technology, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou, 510640, China. Electronic address:
Preservatives are widely used in cosmetic and personal care products to prevent microbial contamination and prolong products' shelf lives. However, concerns about human exposure to these chemicals are increasing due to their confirmed and/or potential negative effects on human health. In this study, we developed a nontarget and suspect screening strategy to identify 5 emerging preservatives and their metabolites in human urine using ultra-high performance liquid chromatography coupled with a high-resolution mass spectrometer (UHPLC-Q-Orbitrap HRMS).
View Article and Find Full Text PDFEnviron Sci Technol
September 2025
Department of Marine Science and Convergence Technology, Hanyang University, Ansan 15588, Republic of Korea.
Despite their widespread use as high-performance chemicals, the occurrence and environmental behavior of neutral per- and polyfluoroalkyl substances (PFAS) remain poorly characterized. In this study, air, sediment, and wastewater samples were collected from fluorochemical-related industries, such as textiles, paper materials, and semiconductor manufacturing. Gas chromatograph-based targeted and class-based suspect analyses were employed to characterize both known and novel neutral PFAS (nPFAS).
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