Zhang Chun-ni, Wang Ying-zi, Sun Xin-guang, Zhao Yang, Zheng Wei, Li Wen-hua, Long Zhen, Ma Bai-ping
Yao Xue Xue Bao. 2017 Mar;52(3):456-61.
A new method was developed for the chromatographic fingerprint analysis of Toosendan Fructus by HPLC coupled with the charged aerosol detector (CAD) in the present study. Samples were well separated on an Agilent ZOBAX SB C18 column (4.6 mm × 250 mm, 5 μm) by gradient elution using acetonitrile and water containing 0.1 % formic acid (v/v) at the flow rate of 1.0 mL·min−1. The column temperature was 30 ℃ and the injection volume was 5 μL. The nitrogen inlet pressure of the charged aerosol detector (CAD) was 35 psi, and the nebulizer chamber temperature was 35 ℃. In addition, the method of the chromatographic fingerprints combined with multivariate statistical analysis was effective and reasonable lead to an accurate classification of 20 batches of samples from different locations. The results showed that 28 common peaks were observed in the fingerprint and the samples were classified into three clusters. The established method was well validated, and showed high precision, good repeatability, and satisfactory stability. It may serve in the quality control and evaluation of Toosendan Fructus.
本研究开发了一种采用高效液相色谱(HPLC)联用带电气溶胶检测器(CAD)对川楝子进行色谱指纹图谱分析的新方法。样品在Agilent ZOBAX SB C18柱(4.6 mm×250 mm,5μm)上通过梯度洗脱实现良好分离,流动相为含0.1%甲酸(v/v)的乙腈和水,流速为1.0 mL·min−1。柱温为30℃,进样量为5μL。带电气溶胶检测器(CAD)的氮气入口压力为35 psi,雾化室温度为35℃。此外,色谱指纹图谱结合多元统计分析的方法有效且合理,能够对来自不同产地的20批样品进行准确分类。结果表明,指纹图谱中观察到28个共有峰,样品被分为三类。所建立的方法经过了充分验证,具有高精密性、良好的重复性和令人满意的稳定性。该方法可用于川楝子的质量控制和评价。