Planta Med 2018; 84(06/07): 457-464
DOI: 10.1055/s-0044-100723
Natural Product Chemistry and Analytical Studies
Original Papers
Georg Thieme Verlag KG Stuttgart · New York

Green Quantification Strategy Combined with Chemometric Analysis for Triglycerides in Seeds Used in Traditional Chinese Medicine

Jin-Jun Hou*
1   Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Shanghai, China
,
Ji-ling Guo*
2   School of Pharmaceutical Sciences, Changchun University of Chinese Medicine, Changchun, China
,
Chun-Mei Cao
3   Nano Science and Technology Institute, University of Science and Technology of China, Suzhou, China
,
Shuai Yao
1   Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Shanghai, China
,
Hua-li Long
1   Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Shanghai, China
,
Lu-Ying Cai
1   Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Shanghai, China
,
Juan Da
1   Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Shanghai, China
,
Wan-Ying Wu
1   Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Shanghai, China
,
De-An Guo
1   Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Science, Shanghai, China
› Author Affiliations
Further Information

Publication History

received 29 May 2017
revised 26 December 2017

accepted 03 January 2018

Publication Date:
31 January 2018 (online)

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Abstract

Triglycerides are the primary constituents of some seed kernels used in traditional Chinese medicine. Quality control of seed kernels containing multiple components with an environmentally friendly method is indispensable for establishing their quality standards (called monographs) in pharmacopeia. Using coix seeds (Semen Coicis) as an example, a green quantification strategy was proposed by combining C8 core-shell particles with single standard to determine multicomponent technologies to quantify seven triglycerides simultaneously. A core-shell column, namely, Halo C8 (3.0 × 100 mm, 2.7 µm), was used. Methanol was used as the mobile phase at a flow rate of 0.3 mL/min, enabling UV detection of the elutes. Seven triglycerides were well separated in 20 min, and simultaneously quantified using triolein as a single standard. The conversion factor for each standard was set as 1.0 on ELSD, while for the conversion factors at 203 nm, the values increased with the reduction of linoleate. The recovery values were all in the range of 97 – 107% (RSD < 3.0%). The RSD values of precision, including intraday and intermediate precision, were < 3.0% when the total content of triglycerides was calculated. The linearity reached r ≥ 0.9990, and the limit of quantitation reached 40 – 70 ng. Forty-nine batches of coix seeds from four different places of origins and eight batches of adulterants were evaluated and differentiated using principal component analysis. In addition, the validated method was used successfully to quantity seven triglycerides in Semen Persicae, Semen Armeniacae Amarum, and Semen Pruni.

* These two authors contributed equally to this work.


Supporting Information