Citation: JIANG Jian-Lan, DING Hong-Tao, SU Xin, YUAN Ying-Jin. Identification of Anti-tumor Ingredients in Curcuma Volatile Oil Based on Composition-Activity Relationship[J]. Chinese Journal of Analytical Chemistry, ;2012, 40(10): 1488-1493. doi: 10.3724/SP.J.1096.2012.11387 shu

Identification of Anti-tumor Ingredients in Curcuma Volatile Oil Based on Composition-Activity Relationship

1.
Key Laboratory of Systems Bioengineering, Ministry of Education; Tianjin Key Laboratory of Biological and Pharmaceutical Engineering; Department of Pharmaceutical Engineering, School of Chemical Engineering and Technology, Tianjin University; Tianjin 300072, China

Corresponding author: JIANG Jian-Lan,
Received Date: 8 December 2011
Available Online: 18 April 2012
Fund Project: 本文系国家自然科学基金青年基金资助项目(No.81102900) (No.81102900)

The Composition-activity relationship (CAR) model of curcuma volatile oil based on GC-MS analysis was established to recognize the active compounds. 31 batches of curcuma volatile oil were prepared using steam distillation with the extraction rate ranging from 1.63% to 4.52%, and quantitatively analyzed by GC-MS. Anti-tumor activity was investigated by MTT assays on Hela cell line. The orthogonal partial least squares (OPLS) and bivariate correlation analysis was respectively performed on SIMCA-P 11.5 and SPSS 18.0 software to construct the CAR model of curcuma volatile oil. The results showed that 9 peaks including Peaks 11, 15, 7, 19, 3, 6, 12, 14 and 9 were significantly related to anti-tumor activity according to scores plot, variable importance in projection (VIP) values in OPLS and Pearson correlation coefficient in bivariate correlation analysis; Peaks 11, 15, 7, 3, 6, 12, 14 and 9 were identified as ar-tumerone, β-tumerone, zingiberene, β-elemene, α-curcumene, α-tumerone, germacrone, β-sesquiphellandrene, respectively.
- Curcuma,
- Volatile oil,
- Gas chromatography-mass spectrometry,
- Orthogonal partial least squares,
- Composition-activity relationship
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