Insight into the relationship between similarity and the degree of equilibrium of contaminant release curves through numerical simulations DOI
Yukari Imoto

Journal of Contaminant Hydrology, Год журнала: 2024, Номер 267, С. 104451 - 104451

Опубликована: Окт. 25, 2024

Язык: Английский

Complementary Field and Laboratory Batch Studies to Quantify Generation Rates of Perfluoroalkyl Acids in a Contaminated Agricultural Topsoil with Unknown Precursors DOI Creative Commons
Alexander Arthur Haluska, Klaus Röhler, Joel Fabregat‐Palau

и другие.

Groundwater Monitoring & Remediation, Год журнала: 2024, Номер 44(3), С. 61 - 75

Опубликована: Июнь 1, 2024

Abstract Soil microbiome changes and generation rates of per‐ polyfluoroalkyl substances (PFAS) precursors were studied in a contaminated agricultural field using combination laboratory batch microcosm studies. 16S rRNA gene amplicon sequencing was used to track how microbial community composition changed over time, while perfluoroalkyl acids (PFAA) quantified incubations combined with the direct total oxidizable precursor (dTOP) assay. The study site Brilon‐Scharfenberg, North Rhine‐Westphalia, Germany, has PFAS contamination topsoil (0 30 cm) originating from compost. Generation rate constants these short‐chain PFAA estimated (0.12 0.75 1/year) higher but similar fields (0.05 0.22 1/year). Long‐term mass discharge data (2009 2023) suggest that at least 60 years are needed remove 99.99% their precursors. revealed major impact on biodiversity soil microorganisms, batch‐incubated soils showing richness diversity indexes than control soils. However, most impacts occurred lower taxonomical ranks did not seem have prominent overall structure autochtonous communities where produced accumulated. Overall, our findings demonstrate well‐controlled aerobic test results dTOP assay suitable approach for estimating rates. Additionally, research suggests complete removal will take decades.

Язык: Английский

Процитировано

1

PFΔScreen – An open-source tool for automated PFAS feature prioritization in non-target HRMS data DOI Creative Commons
Jonathan Zweigle, Boris Bugsel, Joel Fabregat‐Palau

и другие.

Опубликована: Сен. 26, 2023

Per- and polyfluoroalkyl substances (PFAS) are a huge group of anthropogenic chemicals with unique properties that used in countless products applications. Due to the high stability their C–F bonds, PFAS or transformation (TPs) persistent environment, leading ubiquitous detection various samples worldwide. Since industrial chemicals, availability authentic reference standards is limited, making non-target screening (NTS) approaches based on high-resolution mass spectrometry (HRMS) necessary for more comprehensive characterization. NTS usually time-consuming process, since only small fraction detected can be identified. Therefore, efficient prioritization relevant HRMS signals one most crucial steps. We developed PFΔScreen, Python-based open-source tool simple graphical user interface (GUI) perform feature by several specific techniques such as highly promising MD/C-m/C approach, Kendrick defect analysis, diagnostic fragments (MS2), fragment differences (MS2) suspect screening. Feature from vendor-independent MS raw data (mzML, data-dependent acquisition) performed via pyOpenMS (or custom lists) subsequent calculations identification both HPLC- GC-HRMS data. The PFΔScreen workflow presented four PFAS-contaminated agricultural soil south-western Germany. Over 15 classes (more than 80 single compounds isomers) could identified, including novel classes, potentially TPs precursors fluorotelomer mercapto alkyl phosphates (FTMAPs). within Python environment easily automatically installable executable Windows. Its source code freely available GitHub (https://github.com/JonZwe/PFAScreen).

Язык: Английский

Процитировано

3

Managing Per- and Polyfluoroalkyl Substance (PFAS) Contamination in Agricultural Soils: Investigating Remediation Approaches in Non-conventional Agriculture DOI
Juan C. Sánchez‐Hernández, R. Pardo, Natividad Isabel Navarro Pacheco

и другие.

˜The œhandbook of environmental chemistry, Год журнала: 2024, Номер unknown, С. 55 - 95

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Occurrence, Composition, Driving Factors, and Risk Assessment of Pfass from Typical Farm Groundwater in the Guangdong-Hong Kong-Macao Greater Bay Area DOI
Kai Liu, Jinrong Qiu,

Zhongen Tang

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Insight into the relationship between similarity and the degree of equilibrium of contaminant release curves through numerical simulations DOI
Yukari Imoto

Journal of Contaminant Hydrology, Год журнала: 2024, Номер 267, С. 104451 - 104451

Опубликована: Окт. 25, 2024

Язык: Английский

Процитировано

0