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  LC-MS based global metabolite profiling of grapes: solvent extraction protocol optimisation

Theodoridis, G., Gika, H., Franceschi, P., Caputi, L., Arapitsas, P., Scholz, M., et al. (2012). LC-MS based global metabolite profiling of grapes: solvent extraction protocol optimisation. Metabolomics, 8(2), 175-185. doi:10.1007/s11306-011-0298-z.

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 Creators:
Theodoridis, Georgios1, Author
Gika, Helen1, Author
Franceschi, Pietro1, Author
Caputi, Lorenzo2, Author           
Arapitsas, Panagiotis1, Author
Scholz, Mattias1, Author
Masuero, Domenico1, Author
Wehrens, Ron1, Author
Vrhovsek, Urska1, Author
Mattivi, Fulvio1, Author
Affiliations:
1external, ou_persistent22              
2External Organizations, ou_persistent22              

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Free keywords: HUMAN BLOOD-PLASMA; LIQUID-CHROMATOGRAPHY; SAMPLE PREPARATION; MASS-SPECTROMETRY; NMR; TISSUE; STRATEGIES; SEQUENCE; GENOME; PHASEEndocrinology & Metabolism; Grape metabolome; LC/MS; Sample preparation; Metabolomics; Metabolite profiling; Time of flight mass spectrometer;
 Abstract: Optimal solvent conditions for grape sample preparation were investigated for the purpose of metabolite profiling studies, with the aim of obtaining as many features as possible with the best analytical repeatability. Mixtures of water, methanol and chloroform in different combinations were studied as solvents for the extraction of ground grapes. The experimental design used a two stage study to find the optimum extraction medium. The extracts obtained were further purified using solid phase extraction and analysed using a UPLC full scan TOF MS with both reversed phase and hydrophilic interaction chromatography. The data obtained were processed using data extraction algorithms and advanced statistical software for data mining. The results obtained indicated that a fairly broad optimal area for solvent composition could be identified, containing approximately equal amounts of methanol and chloroform and up to 20% water. Since the water content of the samples was variable, the robustness of the optimal conditions suggests these are appropriate for large scale profiling studies for characterisation of the grape metabolome.

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISI: 000301041800001
DOI: 10.1007/s11306-011-0298-z
Other: EXT804
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Title: Metabolomics
Source Genre: Journal
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Publ. Info: New York : Springer
Pages: - Volume / Issue: 8 (2) Sequence Number: - Start / End Page: 175 - 185 Identifier: ISSN: 1573-3882
CoNE: https://pure.mpg.de/cone/journals/resource/1573-3882