Ministry of Education Key Laboratory of Analysis and Detection for Food Safety, Department of Chemistry, Fuzhou University, Fuzhou 350002, Fujian, China.
Analyst. 2012 Apr 7;137(7):1723-9. doi: 10.1039/c2an16313f. Epub 2012 Feb 23.
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%.
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。