植物激素的快速高灵敏检测对研究植物生理活动具有重要意义。困扰液相色谱-质谱(LC-MS)法检测植物激素的最大问题是基质效应和离子化效率低。稳定同位素编码标记（SICD）技术在LC-MS分析复杂基质生物样品方面显示出巨大潜力。借助同位素编码探针能够解决众多中目标分子难以找到合适内标物的难题，从而克服基质效应；质谱增敏探针可以改善分析物的离子化效率，提高分析物的检测灵敏度。本项目以新型含氮杂环为母体开发多功能质谱探针，目标探针具备质谱离子化效率高、具备同位素编码功能、经济适用的特点。利用制备的同位素编码探针，采用柱前衍生技术结合HPLC-MS，建立复杂基质中羧酸类植物激素的快速检测技术平台；通过同位素编码标记技术，实现增加色谱窗口峰容量、降低检测限、拓宽线性范围、改善精密度和准确度，并将构建的方法用于实际样品中植物激素的检测研究。研究成果将对复杂样品中羧酸类植物激素的准确定性定量具有重要意义。

Rapid and sensitive method for determination of phytohormone is of great significance to the study of plant physiological activities. The most difficulty of determination of phytohormone with liquid chromatography mass spectrometry (LC-MS) is the matrix effect and low ionization efficiency. However, technology of stable isotope coded derivatization (SICD) and LC-MS show great potential on the analysis of complex biological matrix. SICD should overcome the deficiency of internal standards for target molecules in complex biological samples not only, but also can remove the difficult quantification derived from the matrix interference and low ionization of target analytes. This project will prepare new light/heavy isotope-coded labeling reagents based on the nitrogen-containing heterocycle. The characteristics of the design SICD probes should be high ionization, simple preparation and economy. Based on the integration of the two technologies of derivatization with prepared SICD reagents and HPLC-MS, a new and rapid analytical method system for determination of phytohormones containing carboxyl in complex matrix will be developed, and the effect on heightening peak capacity, lowing detection limit, widening linearity range, improving precision and accuracy will be discussed comprehensively and thoroughly. The proposed method will be applied for the determination of phytohormones in practical plant sample. Taking advantage of this study, the project could provide information for accurate analysis of phytohormones containing carboxyl with qualitative and quantitative feature, and thus possess great significance of application value.