Extraction Efficiency and HPLC Determination of Imidacloprid in Soil

作者
Nasrin Sabour Moghaddam,Mohamad Pauzi Zakaria,Dzolkhifli Omar,Kamaruzaman Sijam
出处
期刊:Soil and Sediment Contamination: An International Journal [Taylor & Francis]
卷期号:21 (8): 985-995 被引量:23
标识
DOI:10.1080/15320383.2012.712071
摘要

Abstract Two extraction methods were successfully applied to study the extraction of imidacloprid from soil. The first method, using a mix of acetone and hexane, was based on Soxhlet extraction, and the second method, using acetonitrile, methanol, and water, was a modified version of a liquid extraction method. Quantification was performed by reversed-phase High Performance Liquid Chromatography (HPLC) with Diode Array Detection (DAD) at 270 nm using 40:60 (v/v) acetonitrile/water as a mobile phase. The mean recoveries for imidacloprid from soil ranged from 82.6 to 109%, with a relative standard deviation between 1.9 and 5.6% for both extraction methods. The detector linearity and the reproducibility of the method proved to be very precise. The limits of detection were 0.08 and 0.06 mg kg−1 for liquid extraction and Soxhlet extraction, respectively. Overall, the efficiency of the Soxhlet extraction at lower concentrations was better than at higher concentrations, while liquid extraction proved efficient for all spiked levels. Liquid extraction performed better at higher concentrations compared to Soxhlet extraction. Taken together, our study suggests that the analysis of imidacloprid in soil can be performed with the modified liquid extraction method with a higher recovery and a lower RSD than Soxhlet extraction. Keywords: ImidaclopridextractionSoxhletcentrifuge Acknowledgements The authors are very appreciative of the Graduate Research Fellowship (GRF) and of the outstanding colleagues in the microbiology and toxicology lab (Faculty of Agriculture-UPM) and the forensic lab (Faculty of Environmental Studies-UPM) for their support.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研雾完成签到,获得积分10
刚刚
刚刚
1秒前
明亮的草丛完成签到,获得积分10
1秒前
1秒前
2秒前
2秒前
Daphne完成签到,获得积分20
3秒前
3秒前
4秒前
LZY发布了新的文献求助10
5秒前
无极微光应助田田田田采纳,获得20
5秒前
kd1412发布了新的文献求助10
5秒前
ii发布了新的文献求助10
6秒前
yanyang完成签到,获得积分20
6秒前
上官若男应助云霓采纳,获得10
6秒前
Duke_ethan完成签到,获得积分10
6秒前
2526发布了新的文献求助10
7秒前
dx发布了新的文献求助10
7秒前
7秒前
WYW发布了新的文献求助10
8秒前
9秒前
科研通AI2S应助活泼的妙梦采纳,获得10
9秒前
jinyuqian完成签到,获得积分10
9秒前
9秒前
9秒前
阿飞完成签到,获得积分10
10秒前
11秒前
11秒前
12秒前
ii完成签到,获得积分10
12秒前
lsblb发布了新的文献求助10
12秒前
壮观梦之发布了新的文献求助10
13秒前
jinyuqian发布了新的文献求助10
14秒前
王木木发布了新的文献求助10
14秒前
14秒前
14秒前
hylqj123发布了新的文献求助10
15秒前
dangpengyichuan完成签到,获得积分10
15秒前
SSSSSS应助白米合采纳,获得10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7395225
求助须知:如何正确求助?哪些是违规求助? 9001279
关于积分的说明 19158199
捐赠科研通 7031056
什么是DOI,文献DOI怎么找? 3229845
关于科研通互助平台的介绍 2392305
邀请新用户注册赠送积分活动 2211395