http://dx.doi.org/10.1016/j.chroma.2013.06.045">
 

Document Type

Journal Article

Department/Unit

School of Chinese Medicine

Title

Characterization and simultaneous determination of immunosuppressive decalins in red yeast rice by ultra-high-performance liquid chromatography hyphenated with mass spectrometry

Language

English

Abstract

Decalins are secondary metabolites of red yeast rice with immunosuppressive effects on human T cell proliferation. In this study, ultra-high-performance liquid chromatography hyphenated with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) was employed for elucidation of the mass fragmentation patterns of decalins by collision-induced dissociation tandem mass spectrometry (CID-MS/MS). Based on the MS/MS fragmentation patterns of the authentic decalin standards as well as high mass accuracy, a new decalin in the crude extract of red yeast rice was further putatively identified. Moreover, a quantitative analysis method of five immunosuppressive decalins by ultra-high-performance liquid chromatography hyphenated with triple quadrupole tandem mass spectrometry (UHPLC-QQQ-MS) under multiple reaction monitoring (MRM) mode was developed and validated. This method exhibits limits of detection from 0.44 to 1.96. mg/kg, and precision variations were less than 3.2%, and the recovery was in the range of 82 and 105% with RSD less than 5.4%. This method was successfully applied in the quantitative analysis of decalins in different types of red yeast rice. The results showed that decalins only exist in functional red yeast rice but not in the common one. The study demonstrated that UHPLC-Q-TOF-MS and UHPLC-QQQ-MS methods described in this paper are powerful and reliable tools for the quality control of red yeast rice. © 2013 Elsevier B.V.

Keywords

Immunosuppressive decalins, MRM, MS/MS fragmentation pattern, Red yeast rice, UHPLC-MS

Publication Date

2013

Source Publication Title

Journal of Chromatography A

Volume

1303

Start Page

54

End Page

61

Publisher

Elsevier

ISSN (print)

00219673

ISSN (electronic)

18733778

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