中药材辛夷挥发油GC-MS指纹图谱的建立

Quality Control of Volatile Oil of Magnolia. by GC-MS

通过对12个产地辛夷挥发油进行气相色谱-质谱联用分析，建立不同产地、不同采收期辛夷药材质量控制方法。通过计算机谱库检索，其主要成分为1.8-桉叶素、芳樟醇、α-松油醇、石竹烯、α-依兰油烯、西柏三烯、异合金欢醇，不同批次药材成分含量有一定的差别，不同产地及不同采收期样品间有较大差异。通过色谱峰的相对保留值α和量化的面积归一化值Ci两个参数实现了从图谱形式到数字形式的转换，其重叠率除5、6号较低外（小于75％），其余都较高，在75％～90％之间，从指纹图谱中提取13强峰、特征指纹等信息，方法重复性RSD小于1．05％，样品在48h内稳定。

An analytical method for Magnolia. was established based on gas chromatographymass spectrometry（GC -MS） and 12 batches of Magnolia. from different sources and/or collection time were analysed. The main components were eucalyptol, linalool, α-terpineol, caryophyllene, α-muurolene, duvatrien and farnesol isomer. There were some differences in constituents and contents among those samples. The chromatogram was transformed into chromatograph fingerprints by two parameters, the chromatographic peak relative retention value a and the area normalization value Ci. Overlapping rate were between 75% -90% , except No. 5 and No. 6, the first 13 strong peaks and feature fingerprint were obtained from the chromatographic fingerprints, RSD of reproducibility was less than 1.05% and the sample was stable for 48 h.