English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/205228
Share/Impact:
Statistics
logo share SHARE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

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

AuthorsPérez Gálvez, Antonio ; Viera Alcaide, Isabel ; Roca, María
Issue Date2020
PublisherSpringer
CitationMethods in molecular biology (Clifton, N.J.) 2083: 135- 144 (2020)
AbstractAccurate 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.
DescriptionPérez-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
Publisher version (URL)http://dx.doi.org/10.1007/978-1-4939-9952-1_10
URIhttp://hdl.handle.net/10261/205228
Identifiersdoi: 10.1007/978-1-4939-9952-1_10
issn: 1940-6029
isbn: 978-1-4939-9951-4
Appears in Collections:(IG) Libros y partes de libros
Files in This Item:
File Description SizeFormat 
PostP_2020_MMB_V2083_P135.pdf Embargoed until November 20, 2021554,34 kBAdobe PDFThumbnail
View/Open    Request a copy
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.