Your browser doesn't support javascript.
loading
Profiling emerging micropollutants in urban stormwater runoff using suspect and non-target screening via high-resolution mass spectrometry.
Kang, Daeho; Yun, Daeun; Cho, Kyung Hwa; Baek, Sang-Soo; Jeon, Junho.
Afiliación
  • Kang D; Department of Environmental Engineering, Changwon National University, Changwon, Gyeongsangnamdo, 51140, South Korea.
  • Yun D; Civil Urban Earth and Environmental Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Eonyang-eup, Ulju-gun, Ulsan, 44919, South Korea.
  • Cho KH; School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, 02841, South Korea.
  • Baek SS; Department of Environmental Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan-Si, Gyeongbuk, 38541, South Korea.
  • Jeon J; Department of Environmental Engineering, Changwon National University, Changwon, Gyeongsangnamdo, 51140, South Korea; School of Smart and Green Engineering, Changwon National University, Changwon, Gyeongsangnamdo, 51140, South Korea. Electronic address: jjh0208@changwon.ac.kr.
Chemosphere ; 352: 141402, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38346509
ABSTRACT
Urban surface runoff contains chemicals that can negatively affect water quality. Urban runoff studies have determined the transport dynamics of many legacy pollutants. However, less attention has been paid to determining the first-flush effects (FFE) of emerging micropollutants using suspect and non-target screening (SNTS). Therefore, this study employed suspect and non-target analyses using liquid chromatography-high resolution mass spectrometry to detect emerging pollutants in urban receiving waters during stormwater events. Time-interval sampling was used to determine occurrence trends during stormwater events. Suspect screening tentatively identified 65 substances, then, their occurrence trend was grouped using correlation analysis. Non-target peaks were prioritized through hierarchical cluster analysis, focusing on the first flush-concentrated peaks. This approach revealed 38 substances using in silico identification. Simultaneously, substances identified through homologous series observation were evaluated for their observed trends in individual events using network analysis. The results of SNTS were normalized through internal standards to assess the FFE, and the most of tentatively identified substances showed observed FFE. Our findings suggested that diverse pollutants that could not be covered by target screening alone entered urban water through stormwater runoff during the first flush. This study showcases the applicability of the SNTS in evaluating the FFE of urban pollutants, offering insights for first-flush stormwater monitoring and management.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Contaminantes Ambientales Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Chemosphere Año: 2024 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua / Contaminantes Ambientales Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Chemosphere Año: 2024 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Reino Unido