该研究旨在建立一种同时测定中国紫苏不同部位中代谢物含量的分析方法，明确紫苏不同部位中代谢物的种类与含量，为此类物质的高效利用提供一定科学依据。利用溶剂提取结合高效液相色谱技术，分别对紫苏叶、紫苏壳、紫苏杆中19种植物代谢物进行测定分析。结果表明，19种物质在55 min内完全分离，峰型和分离度良好，检出限在0.05~0.40 mg/L之间，标准曲线R2均在0.997 6以上，回收率和精密度分别在61.65%~111.42%和1.02%~17.20%之间。应用该方法对12种紫苏样品进行了检测，发现19种化合物在不同紫苏部位中的含量差异较大，在0.04~24.05 mg/g之间。12个样品中均检出2种酚酸和5种黄酮及黄酮苷。紫苏壳和杆中均检出木犀草素，含量为0.05~0.18 mg/g；紫苏叶中化合物含量顺序为迷迭香酸>野黄芩苷>芹菜素-7-O-葡萄糖苷。此外，在紫苏壳中首次检出HMF和糠醛两种呋喃环衍生物。该方法简单高效，仪器要求低，适用于紫苏及其他植物型样品中代谢物的定量检测。

This study aims to establish an analytical method for the simultaneous detection of metabolites in different parts of Chinese Perilla frutescens. Identification of the types and concentrations of metabolites will provide a scientific basis for efficient utilization of P. frutescens compounds. The 19 plant metabolites in the leaves, seed shells and stems of Chinese perilla (Perilla frutescens) were analyzed by solvent extraction combined with high-performance liquid chromatography technique. Results indicated that the 19 compounds were completely separated within 55 minutes with good peak shape and separation, a limit of detection (0.05~0.40 mg/L), correlation coefficients (R2) over 0.997 6, recoveries of 61.65%~111.42%, and precision of 1.02%~17.20%. This method was used to analyze 12 kinds of perilla samples, and it was found that the contents of 19 compounds in different parts of perilla varied significantly in the range of 0.04~24.05 mg/g. Two phenolic acids and five flavonoids and flavonoid glycosides were detected in the 12 samples. Luteolin was detected in perilla shells and stalks, with the contents with the contents ranging between 0.05 and 0.18 mg/g; the decreasing order of compound content in perilla leaves was rosmarinic acid > scutellarin > apigenin-7-O-glucoside. In addition, two furan ring derivatives, HMF and furfural, were detected for the first time in the perilla shells of this study. The method is simple and efficient, and the instrumental requirement is low, thus, is suitable for quantitative determination of metabolites in Perilla samples and other types of plant samples.

国家自然科学基金青年基金项目（32001817）；山西省高校科技创新计划项目（2020L0298）；晋中市重点研发计划项目（Y212006）；山西省青年科学基金项目（201901D211272）