Enhanced Metabolite Profiling from Bark of Alangium Salviifolium Using LC/MS and GC/Q-TOF Techniques

Version 1

    Application Note

    Metabolomics

     

    Abstract

    Traditional herbal remedies are used as alternative medicines for a number of diseases. Alangium salviifolium is one such plant, used as traditional medicinal plant. Several investigations have been performed using this plant extract to demonstrate its therapeutic value. However, very few attempts have been made to identify the extensive metabolite composition of this plant. In this Application Note, we performed metabolite profi ling and identifi cation from the bark of A. salviifolium by extracting the sample in organic and aqueous solvents. The organic and aqueous extracts were fractioncollected using the Agilent 1260 Analytical Scale Fraction Collection System. Each of the fractions was analyzed by LC/MS and GC/Q-TOF techniques. The LC/MS/MS analyses were performed using HILIC chromatography, as well as three separate, orthogonal reverse phase columns. Data were collected using AJS source in both positive and negative ionization modes, followed by METLIN database or MS/MS library searches. Compounds from Alangium that could not be identifi ed by database or library matching were subsequently searched against the ChemSpider (http://www.chemspider. com/) database of over 30 million structures using Agilent MSC software. To identify compounds generated by GC/Q-TOF, the data were searched against the Agilent-Fiehn GC/MS Metabolomics Library and Wiley/NIST libraries. The results of the combined GC libraries searches identifi ed 62 compounds with a matching score > 70. Using both techniques, a total of 1,016 compounds were detected, of which 511 were identifi ed. A literature search revealed 81 out of 511 compounds had therapeutic properties against traditionally reported diseases such as cancer, microbial infections, and so forth. Our study suggests that the use of fraction collection for metabolite enrichment, biphasic solvent extraction, and orthogonal column chemistries for metabolite separation, as well as complementary LC/MS and GC/MS detection, leads to greater metabolite detection coverage in medicinal plants.

     

    Publication number: 5991-4663EN.pdf

    Publication Date: June 1, 2014

     

    http://www.agilent.com/cs/library/applications/5991-4663EN.pdf