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Metabolite profiling on apple volatile content based on solid phase microextraction and gas-chromatography time of flight mass spectrometry.
J Chromatogr A. 2011 Jul 15; 1218(28):4517-24.JC

Abstract

A headspace SPME GC-TOF-MS method was developed for the acquisition of metabolite profiles of apple volatiles. As a first step, an experimental design was applied to find out the most appropriate conditions for the extraction of apple volatile compounds by SPME. The selected SPME method was applied in profiling of four different apple varieties by GC-EI-TOF-MS. Full scan GC-MS data were processed by MarkerLynx software for peak picking, normalisation, alignment and feature extraction. Advanced chemometric/statistical techniques (PCA and PLS-DA) were used to explore data and extract useful information. Characteristic markers of each variety were successively identified using the NIST library thus providing useful information for variety classification. The developed HS-SPME sampling method is fully automated and proved useful in obtaining the fingerprint of the volatile content of the fruit. The described analytical protocol can aid in further studies of the apple metabolome.

Authors+Show Affiliations

IASMA Research and Innovation Centre, Fondazione Edmund Mach, Food Quality and Nutrition Area, S. Michele all'Adige (TN), Italy. eugenio.aprea@iasma.itNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

21641602

Citation

Aprea, Eugenio, et al. "Metabolite Profiling On Apple Volatile Content Based On Solid Phase Microextraction and Gas-chromatography Time of Flight Mass Spectrometry." Journal of Chromatography. A, vol. 1218, no. 28, 2011, pp. 4517-24.
Aprea E, Gika H, Carlin S, et al. Metabolite profiling on apple volatile content based on solid phase microextraction and gas-chromatography time of flight mass spectrometry. J Chromatogr A. 2011;1218(28):4517-24.
Aprea, E., Gika, H., Carlin, S., Theodoridis, G., Vrhovsek, U., & Mattivi, F. (2011). Metabolite profiling on apple volatile content based on solid phase microextraction and gas-chromatography time of flight mass spectrometry. Journal of Chromatography. A, 1218(28), 4517-24. https://doi.org/10.1016/j.chroma.2011.05.019
Aprea E, et al. Metabolite Profiling On Apple Volatile Content Based On Solid Phase Microextraction and Gas-chromatography Time of Flight Mass Spectrometry. J Chromatogr A. 2011 Jul 15;1218(28):4517-24. PubMed PMID: 21641602.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Metabolite profiling on apple volatile content based on solid phase microextraction and gas-chromatography time of flight mass spectrometry. AU - Aprea,Eugenio, AU - Gika,Helen, AU - Carlin,Silvia, AU - Theodoridis,Georgios, AU - Vrhovsek,Urska, AU - Mattivi,Fulvio, Y1 - 2011/05/14/ PY - 2010/11/17/received PY - 2011/03/02/revised PY - 2011/05/09/accepted PY - 2011/6/7/entrez PY - 2011/6/7/pubmed PY - 2011/9/17/medline SP - 4517 EP - 24 JF - Journal of chromatography. A JO - J Chromatogr A VL - 1218 IS - 28 N2 - A headspace SPME GC-TOF-MS method was developed for the acquisition of metabolite profiles of apple volatiles. As a first step, an experimental design was applied to find out the most appropriate conditions for the extraction of apple volatile compounds by SPME. The selected SPME method was applied in profiling of four different apple varieties by GC-EI-TOF-MS. Full scan GC-MS data were processed by MarkerLynx software for peak picking, normalisation, alignment and feature extraction. Advanced chemometric/statistical techniques (PCA and PLS-DA) were used to explore data and extract useful information. Characteristic markers of each variety were successively identified using the NIST library thus providing useful information for variety classification. The developed HS-SPME sampling method is fully automated and proved useful in obtaining the fingerprint of the volatile content of the fruit. The described analytical protocol can aid in further studies of the apple metabolome. SN - 1873-3778 UR - https://www.unboundmedicine.com/medline/citation/21641602/Metabolite_profiling_on_apple_volatile_content_based_on_solid_phase_microextraction_and_gas_chromatography_time_of_flight_mass_spectrometry_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0021-9673(11)00647-9 DB - PRIME DP - Unbound Medicine ER -