Suppr超能文献

用于有机磷农药薄膜微萃取的嵌入Keggin型多金属氧酸盐的聚偏二氟乙烯

Keggin-type polyoxometalate embedded polyvinylidene fluoride for thin film microextraction of organophosphorus pesticides.

作者信息

Darvishnejad Fatemeh, Raoof Jahan Bakhsh, Ghani Milad, Ojani Reza

机构信息

Electroanalytical Chemistry Research Laboratory, Department of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.

Department of Analytical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.

出版信息

Food Chem X. 2023 Sep 3;19:100857. doi: 10.1016/j.fochx.2023.100857. eCollection 2023 Oct 30.

Abstract

The present research is the first report on the application of Keggin-type phosphotungstic acid/polyvinylidene fluoride membrane. This compound as a simple, cost-effective and novel sorbent was used for the extraction and pre-concentration of two organophosphorus pesticides in real samples in the thin film solid-phase microextraction (TFME) method. TFME as one of the sub-branches of solid phase microextraction resolves the problems of SPME methods, including their limited absorption capacity. These extraction methods have a high surface-to-volume ratio, which improves their sensitivity compared to other geometries. Under optimal conditions, the limit of detections (LODs), the limit of quantifications (LOQs), and relative standard deviation (RSD) of this method varied in the ranges of 0.29-0.31 μg L, 0.96-1.0 μg L, and 3.9%-6.2%, respectively. This method showed a linear dynamic range (LDR) of 1.0-500 μg L with a coefficient of determination (r) above 0.9978. This promising method was used to analyze malathion and diazinon.

摘要

本研究是关于Keggin型磷钨酸/聚偏二氟乙烯膜应用的首次报道。该化合物作为一种简单、经济高效且新颖的吸附剂,用于薄膜固相微萃取(TFME)法对实际样品中两种有机磷农药的萃取和预浓缩。TFME作为固相微萃取的一个分支,解决了固相微萃取方法的问题,包括其有限的吸附容量。这些萃取方法具有高的表面积与体积比,与其他几何形状相比提高了它们的灵敏度。在最佳条件下,该方法的检测限(LOD)、定量限(LOQ)和相对标准偏差(RSD)分别在0.29 - 0.31 μg/L、0.96 - 1.0 μg/L和3.9% - 6.2%范围内变化。该方法的线性动态范围(LDR)为1.0 - 500 μg/L,决定系数(r)高于0.9978。这种有前景的方法用于分析马拉硫磷和二嗪农。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4973/10534218/16a74ed0c25f/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验