Determination of fipronil and its metabolites in edible oil by pollen based solid-phase extraction combined with gas chromatography-electron capture detection
Determination of fipronil and its metabolites in edible oil by pollen based solid-phase extraction combined with gas chromatography-electron capture detection
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花粉固相萃取-气相色谱-电子捕获检测法测定食用油中氟虫腈及其代谢物
DOI:
10.1016/j.foodchem.2021.132021
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发表时间:
2022-01
期刊:
影响因子:
8.8
通讯作者:
Qin Zhao
中科院分区:
文献类型:
--
作者:
Yi-Lian Zhou;Shi-Wen Yue;Bing-Wei Cheng;Qin Zhao
In this study, a convenient and economic method for the determination of fipronil and its three metabolites in edible oil was developed based on pollen grain solid-phase extraction (SPE). As a natural material, pollen grains exhibit well absorption capacity for some polar compounds due to their special functional structures. Their stable composition and appropriate particle size also make them suitable for SPE. In the present study, natural pine pollen grains without broken wall were used as sorbent for selective isolation and enrichment of fipronil and its three metabolites from edible oils based on hydrogen bond interaction. Several parameters influencing the extraction recoveries were investigated. By coupling with gas chromatography-electron capture detection (GC-ECD), a new method for analysis of fipronil and its metabolites in edible oils was established. The linearity range was 2–200 ng/g with correlation coefficient R2more than 0.999. The recoveries in edible oils at three spiked concentrations were in the range of 80.1–96.0% with the RSDs less than 10.6% (intra-day) and 11.5% (inter-day). The limit of detection (LOD) for four target analytes were in the range of 0.2–0.6 ng/g, which was comparable to the previous reported methods. Finally, the established method was successfully applied to detect fipronil and its metabolites in several oil samples with different brands from local market.
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影响因子:
2.9
作者:
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通讯作者:
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影响因子:
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DOI:
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发表时间:
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DOI:
10.1039/d0ay00924e
发表时间:
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期刊:
Analytical methods : advancing methods and applications
影响因子:
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Rafaella Tomazini;G. Grosseli;Diana Nara Ribeiro de Sousa;P. Fadini;Flávia Talarico Saia;A. Langenhoff;B. M. van der Zaan;A. A. Mozeto-A.
影响因子:
3.1
作者:
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