Determination of fipronil and its metabolites in environmental water samples by meltblown nonwoven fabric‐based solid‐phase extraction combined with gas chromatography‐electron capture detection

In this study, a new method for the determination of fipronil and its three metabolites in environmental water samples was developed based on meltblown nonwoven fabric solid‐phase extraction combined with gas chromatography‐electron capture detection. As the core material of medical masks, meltblown nonwoven fabric is made of polypropylene superfine fibers which are randomly distributed and bonded together with a relatively large specific surface area and good permeability. Polypropylene as a high molecular hydrocarbon‐based polymer has the characteristics of good hydrophobicity and lipophilicity, which can be applied for the separation and enrichment of hydrophobic substances in food, environment, and biological samples. The meltblown nonwoven fabric is soft and can fill the solid‐phase extraction cartridge tightly. This aspect also makes it suitable to be used as an ideal solid‐phase extraction sorbent. A series of parameters influencing the extraction efficiency were investigated, and under the optimized conditions, fipronil and its three metabolites had a good linear relationship in the range of 0.2–100 μg/L with a correlation coefficient R2 of more than 0.999. The recoveries at three spiked concentrations were in the range of 99.2–107.3% with the relative standard deviations less than 9.8% (intra‐day) and 8.1% (inter‐day). The limit of detection for the four target analytes was in the range of 0.02–0.06 μg/L. Finally, this method was successfully applied in the analysis of fipronil and its three metabolites in various types of environmental water samples..

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:45

Enthalten in:

Journal of Separation Science - 45(2022), 14, Seite 2663-2674

Beteiligte Personen:

Zhao, Qin [VerfasserIn]
Yue, Shi‐Wen [VerfasserIn]
Zhou, Yi‐Lian [VerfasserIn]
Yang, Jin‐Jie [VerfasserIn]

BKL:

35.29

58.11

Anmerkungen:

© 2022 Wiley‐VCH GmbH.

Umfang:

12

doi:

10.1002/jssc.202200008

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

WLY009521054