Effect of storage time on metabolite profile and alpha-glucosidase inhibitory activity of Cosmos caudatus leaves – GCMS based metabolomics approach

Journal of Food and Drug Analysis

Sanimah Simoh¹  Neda Javadi²  Faridah Abas²  Ahmed Mediani²  Azizah Abd Hamid²  Alfi Khatib³  Khozirah Shaari⁴ 

[1] Biotechnology Research Centre, MARDI Headquarters, Serdang, P.O. Box 12301, 50744, Kuala Lumpur, Malaysia;Department of Food Science, Faculty of Food Science and Technology, University Putra Malaysia, 43400 Serdang, Malaysia;Department of Pharmaceutical Chemistry, Faculty of Pharmacy, International Islamic University Malaysia, 25200 Kuantan, Malaysia;Laboratory of Natural Products, Institute of Bioscience, University Putra Malaysia, 43400 Serdang, Malaysia;

关键词: Cosmos caudatus;    GC-MS;    MVDA;    OPLS;    storage;   

DOI  :  10.1016/j.jfda.2015.01.005

来源: DOAJ

【 摘 要 】

Cosmos caudatus, which is a commonly consumed vegetable in Malaysia, is locally known as “Ulam Raja”. It is a local Malaysian herb traditionally used as a food and medicinal herb to treat several maladies. Its bioactive or nutritional constituents consist of a wide range of metabolites, including glucosinolates, phenolics, amino acids, organic acids, and sugars. However, many of these metabolites are not stable and easily degraded or modified during storage. In order to investigate the metabolomics changes occurring during post-harvest storage, C. caudatus samples were subjected to seven different storage times (0 hours, 2 hours, 4 hours, 6 hours, 8 hours, 10 hours, and 12 hours) at room temperature. As the model experiment, the metabolites identified by gas chromatography-mass spectrometry (GC-MS) were correlated with α-glucosidase inhibitory activity analyzed with multivariate data analysis (MVDA) to find out the variation among samples and metabolites contributing to the activity. Orthogonal partial least squares (OPLS) analysis was applied to investigate the metabolomics changes. A profound chemical alteration, both in primary and secondary metabolites, was observed. The α-tocopherol, catechin, cyclohexen-1-carboxylic acid, benzoic acid, myo-inositol, stigmasterol, and lycopene compounds were found to be the discriminating metabolites at early storage; however, sugars such as sucrose, α-d-galactopyranose, and turanose were detected, which was attributed to the discriminating metabolites for late storage. The result shows that the MVDA method is a promising technique to identify biomarker compounds relative to storage at different times.

【 授权许可】

Unknown