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Acquisition of Mass Spectrometry Data of Carotenoids: A Focus on Big Data Management

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Plant and Food Carotenoids

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2083))

Abstract

Accurate determination of carotenoid profile in plant tissues and food samples requires the application of hyphenated analytical resources including HPLC with high-resolution hybrid mass spectrometers. The high analytical power of modern MS equipment means the generation of Big Data resulting from the independent and complementary physicochemical properties of the target compounds that requires a complex processing to unravel the results. The present protocol describes a complete pipeline methodology for high-throughput analysis of carotenoids based on mass spectrometry (MS). After an exhaustive extraction, the workflow includes the acquisition of HPLC-hr-MS and MS2 spectra assisted step by step by specific post-processing software.

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Acknowledgments

This work was supported by the Ministerio de Ciencia, Investigación y Universidades, Agencia Estatal de Investigación y Fondo Europeo de Desarrollo Regional (FEDER), project numbers RTI2018-095415-B-I00 and AGL2017-87884-R. Antonio Pérez-Gálvez is a tenured scientist at the Spanish National Research Council (CSIC).

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Authors and Affiliations

  1. Food Phytochemistry Department, Instituto de la Grasa (CSIC), Sevilla, Spain

    Antonio Pérez-Gálvez, Isabel Viera & María Roca

Authors
  1. Antonio Pérez-Gálvez
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  2. Isabel Viera
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  3. María Roca
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Corresponding author

Correspondence to María Roca .

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Editors and Affiliations

  1. CSIC-IRTA-UAB-UB, Centre for Research in Agricultural Genomics (CRAG), Barcelona, Spain

    Manuel Rodríguez-Concepción

  2. Institute for Biology II, University of Freiburg, Freiburg, Germany

    Ralf Welsch

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Pérez-Gálvez, A., Viera, I., Roca, M. (2020). Acquisition of Mass Spectrometry Data of Carotenoids: A Focus on Big Data Management. In: Rodríguez-Concepción, M., Welsch, R. (eds) Plant and Food Carotenoids. Methods in Molecular Biology, vol 2083. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9952-1_10

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  • DOI: https://doi.org/10.1007/978-1-4939-9952-1_10

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-4939-9951-4

  • Online ISBN: 978-1-4939-9952-1

  • eBook Packages: Springer Protocols

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