We present automated data analysis of high-throughput high-performance liquid chromatography with diode array detection (HPLC-DAD) data using multivariate curve resolution. This technique provides spectra and elution profiles of all UV-Vis active compounds present in the mixture. The specifics of using this method in noninteractive fashion are discussed. A case study on the stability of isoprenoids in grape extracts under two different experimental regimes serves to illustrate the potential of the method: quantitative results clearly show that the addition of triethylamine is beneficial in that carotenoid, chlorophyll, and tocopherol compounds are much more stable and in this way can be kept up to at least 30 days without any sign of degradation.
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Research was supported by ADP 2011 project funded by the Autonomous Province of Trento. The authors wish to thank Anna della Corte, Luca Narduzzi, Panagiotis Arapitsas, and Andrea Angeli for providing the chloroform fractions of the extracted grape samples.
Published in the topical collection Metabolomics and Metabolite Profiling with guest editors Rainer Schuhmacher, Rudolf Krska, Roy Goodacre, and Wolfram Weckwerth.
R. Wehrens and E. Carvalho contributed equally.
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Wehrens, R., Carvalho, E., Masuero, D. et al. High-throughput carotenoid profiling using multivariate curve resolution. Anal Bioanal Chem 405, 5075–5086 (2013). https://doi.org/10.1007/s00216-012-6555-9