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微乳液电动毛细管色谱法与在线大体积样品堆积联用分析植物激素。

Analysis of plant hormones by microemulsion electrokinetic capillary chromatography coupled with on-line large volume sample stacking.

机构信息

Ministry of Education Key Laboratory of Analysis and Detection for Food Safety, Department of Chemistry, Fuzhou University, Fuzhou 350002, Fujian, China.

出版信息

Analyst. 2012 Apr 7;137(7):1723-9. doi: 10.1039/c2an16313f. Epub 2012 Feb 23.

Abstract

A novel method of microemulsion electrokinetic capillary chromatography (MEEKC) coupled with on-line large volume sample stacking was developed for the analysis of six plant hormones including indole-3-acetic acid, indole-3-butyric acid, indole-3-propionic acid, 1-naphthaleneacetic acid, abscisic acid and salicylic acid. Baseline separation of six plant hormones was achieved within 10 min by using the microemulsion background electrolyte containing a 97.2% (w/w) 10 mM borate buffer at pH 9.2, 1.0% (w/w) ethyl acetate as oil droplets, 0.6% (w/w) sodium dodecyl sulphate as surfactant and 1.2% (w/w) 1-butanol as cosurfactant. In addition, an on-line concentration method based on a large volume sample stacking technique and multiple wavelength detection was adopted for improving the detection sensitivity in order to determine trace level hormones in a real sample. The optimal method provided about 50-100 fold increase in detection sensitivity compared with a single MEEKC method, and the detection limits (S/N = 3) were between 0.005 and 0.02 μg mL(-1). The proposed method was simple, rapid and sensitive and could be applied to the determination of six plant hormones in spiked water samples, tobacco leaves and 1-naphthylacetic acid in leaf fertilizer. The recoveries ranged from 76.0% to 119.1%, and good reproducibilities were obtained with relative standard deviations (RSDs) less than 6.6%.

摘要

一种新型的微乳液电动毛细管色谱(MEEKC)与在线大体积样品堆积相结合的方法被开发用于分析包括吲哚-3-乙酸、吲哚-3-丁酸、吲哚-3-丙酸、1-萘乙酸、脱落酸和水杨酸在内的六种植物激素。通过使用含有 97.2%(w/w)10mM 硼酸缓冲液(pH9.2)、1.0%(w/w)乙酸乙酯作为油滴、0.6%(w/w)十二烷基硫酸钠作为表面活性剂和 1.2%(w/w)1-丁醇作为助表面活性剂的微乳液背景电解质,在 10 分钟内实现了六种植物激素的基线分离。此外,采用基于大体积样品堆积技术和多波长检测的在线浓缩方法,以提高检测灵敏度,从而能够在实际样品中测定痕量激素。与单一 MEEKC 方法相比,优化后的方法提供了约 50-100 倍的检测灵敏度提高,检测限(S/N=3)在 0.005 至 0.02μg mL(-1)之间。该方法简单、快速、灵敏,可用于测定加标水样、烟叶和叶肥中 1-萘乙酸中的六种植物激素。回收率在 76.0%至 119.1%之间,相对标准偏差(RSD)小于 6.6%,具有良好的重现性。

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