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    block this user Mahendra Kumar Trivedi

    Independent researcher

    Las Vegas Naveda
    Trivedi Global Inc.
    Trivedi Science Research Laboratory Pvt. Ltd

    Metabolite Profiling of Withania somnifera Roots Hydroalcoholic Extract Using LC-MS, GC-MS and NMR Spectroscopy

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    Ashwagandha (Withania somnifera) is a very well-known herbal medicine and it was well studied for its active metabolites throughout the World. Although, nearly 40 withanolides were isolated from W. somnifera root extract, still there is remaining unidentified metabolites due to very low abundance and natural variation. Advanced separation technology with online identification by mass and nuclear magnetic resonance (NMR) are now-a-days used to find out the new compounds in the crude herbal extract. This article described the metabolite profiling of ashwagandha root hydroalcoholic extract using ultra-performance liquid chromatography coupled with a positive ion electrospray ionization tandem mass spectrometry through gas chromatography mass spectrometry (GC-MS) and NMR analysis. A total of 43 possible withanolides was identified and proposed their structures based on the mass of molecular and fragment ions. GC-MS and NMR analysis indicated the presence of several known withanolides including withaferin A, withanolide D, withanoside IV or VI, withanolide sulfoxide, etc. To the best of our knowledge, dihydrowithanolide D at m/z 473 (Rt of 7.86 min) and ixocarpalactone A at m/z 505 (Rt of 8.43 min) were first time identified in the ashwagandha root hydroalcoholic extract. The current study that described the identification of withanolides with summarized literature review might be helpful for designing the experiment to identify of the new chemical constituents in Withania species.

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    Description

    Title : Metabolite Profiling of Withania somnifera Roots Hydroalcoholic Extract Using LC-MS, GC-MS and NMR Spectroscopy
    Author(s) : Mahendra Kumar Trivedi
    Abstract : Ashwagandha (Withania somnifera) is a very well-known herbal medicine and it was well studied for its active metabolites throughout the World. Although, nearly 40 withanolides were isolated from W. somnifera root extract, still there is remaining unidentified metabolites due to very low abundance and natural variation. Advanced separation technology with online identification by mass and nuclear magnetic resonance (NMR) are now-a-days used to find out the new compounds in the crude herbal extract. This article described the metabolite profiling of ashwagandha root hydroalcoholic extract using ultra-performance liquid chromatography coupled with a positive ion electrospray ionization tandem mass spectrometry through gas chromatography mass spectrometry (GC-MS) and NMR analysis. A total of 43 possible withanolides was identified and proposed their structures based on the mass of molecular and fragment ions. GC-MS and NMR analysis indicated the presence of several known withanolides including withaferin A, withanolide D, withanoside IV or VI, withanolide sulfoxide, etc. To the best of our knowledge, dihydrowithanolide D at m/z 473 (Rt of 7.86 min) and ixocarpalactone A at m/z 505 (Rt of 8.43 min) were first time identified in the ashwagandha root hydroalcoholic extract. The current study that described the identification of withanolides with summarized literature review might be helpful for designing the experiment to identify of the new chemical constituents in Withania species.
    Keywords : Mahendra Trivedi, Mahendra Kumar Trivedi, NMR, Withania Somnifera, Ashwagandha Root Extract, GC-MS, Retention Time, Withanolides

    Subject : Chemistry
    Area : Chemistry
    Language : English
    Year : 2016

    Affiliations Trivedi Global Inc.
    Institution : Trivedi Global Inc.
    Journal : Chemistry & Biodiversity
    Url : http://onlinelibrary.wiley.com/wol1/doi/10.1002/cbdv.201600280/abstract
    Doi : 10.1002/cbdv.201600280
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    Mahendra's Peer Evaluation activity

    Downloads 40522
    Views 200
    Following... 21
    • Alejandro Engelmann, Independent researcher, Library, Swedish University of Agricultural Sciences, Uppsala, Sweden.
    • Selma Dorrestein, Student, Master Level, University of Amsterdam.
    • Francisco Herrera, Publisher, UNIVERSITY OF GRANADA.
    • Ralf Steinmetz, Professor, university.
    • Gregory Dudek, Professor, McGill University, School of Computer Science, Montreal, Canada.
    • Umberto Straccia, Senior Research Fellow, ISTI - CNR.
    • Sorin Cotofana, Associate Professor, Deft University of Technology, Faculty of Electrical Engineeting, Mathematics, and Computer Science. Computer Engineering, Delft, The Netherlands.
    • Stefan Trausan-Matu, Professor, Computer Science Department, Politehnica University of Bucharest, Research Institute for Artificial Intelligence.
    • Jean Quisquater, Professor, UCL Crypto Group.
    • Markus Jakobsson, Principal Research Fellow, PayPal, FatSkunk, Indiana University.
    • Michael Elad, Professor, Technion - Israel institute of Technology.
    • Andrew Lumsdaine, Professor, Indiana University.
    • Mikael Nilsson, Student, Ph.D. Level, Royal Institute of Technology, Stockholm, Sweden.
    • Emilie Combet, Lecturer, MVLS, University of Glasgow, Glasgow, Centre for Population and Health Sciences, Life-course Nutrition and Health.
    • Werner Muller, Professor, Faculty of Life Science, University of Manchester, Manchester.
    • Syam Mohan, Senior Research Fellow, Pharmacology, University of Malaya, Malaysia.
    • Ramy K Aziz, Lecturer, Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Cairo, Egypt.
    • Paweł K. Jędrzejko, Associate Professor, Department of American and Canadian Studies of the Institute of English Cultures and Literatures, University of Silesia in Katowice, Poland.
    • Nader Ale Ebrahim, Independent researcher, Research Support Unit, Centre of Research Services, Institute of Research Management and Monitoring (IPPP), University of Malaya, Malaysia.
    • Kelli Barr, Student, Ph.D. Level, Department of Philosophy and Religion Studies, University of North Texas, Denton, TX.
    • Pandelis Perakakis, Post Doctorate, Economics department, Universitet Jaume I, Castellon.

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