IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v401y2014icp112-117.html
   My bibliography  Save this article

A multivariate statistical analysis coming from the NMR metabolic profile of cherry tomatoes (The Sicilian Pachino case)

Author

Listed:
  • Mallamace, Domenico
  • Corsaro, Carmelo
  • Salvo, Andrea
  • Cicero, Nicola
  • Macaluso, Andrea
  • Giangrosso, Giuseppe
  • Ferrantelli, Vincenzo
  • Dugo, Giacomo

Abstract

We have studied by means of High Resolution Magic Angle Spinning Nuclear Magnetic Resonance the metabolic profile of the famous Sicilian cherry tomato of Pachino. Thanks to its organoleptic and healthy properties, this particular foodstuff was the first tomato accredited by the European PGI (Protected Geographical Indication) certification of quality. Due to the relatively high price of the final product commercial frauds originated in the Italian and international markets. Hence, there is a growing interest to develop analytical techniques able to predict the origin of a tomato sample, indicating whether or not it originates from the area of Pachino, Sicily (Italy). In this paper we have determined the molar concentration of the metabolites constituent the PGI cherry tomato of Pachino. Furthermore, by means of a multivariate statistical analysis we have identified which metabolites are relevant for sample differentiation.

Suggested Citation

  • Mallamace, Domenico & Corsaro, Carmelo & Salvo, Andrea & Cicero, Nicola & Macaluso, Andrea & Giangrosso, Giuseppe & Ferrantelli, Vincenzo & Dugo, Giacomo, 2014. "A multivariate statistical analysis coming from the NMR metabolic profile of cherry tomatoes (The Sicilian Pachino case)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 112-117.
  • Handle: RePEc:eee:phsmap:v:401:y:2014:i:c:p:112-117
    DOI: 10.1016/j.physa.2013.12.054
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711400048X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2013.12.054?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Unknown, 1996. "Newsletter Fall 1996," Institute on Global Conflict and Cooperation, Working Paper Series qt9dp322p4, Institute on Global Conflict and Cooperation, University of California.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mallamace, Domenico & Longo, Sveva & Corsaro, Carmelo, 2018. "Proton NMR study of extra Virgin Olive Oil with temperature: Freezing and melting kinetics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 20-27.
    2. Mallamace, Domenico & Vasi, Sebastiano & Corsaro, Carmelo & Naccari, Clara & Clodoveo, Maria Lisa & Dugo, Giacomo & Cicero, Nicola, 2017. "Calorimetric analysis points out the physical-chemistry of organic olive oils and reveals the geographical origin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 925-932.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aydin, Necati, 2013. "Redefining Islamic Economics as a New Economic Paradigm," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 21, pages 1-34.
    2. Alex Coad & Julian Frankish & Paul Nightingale & Richard Roberts, 2014. "Business experience and start-up size: Buying more lottery tickets next time around?," Small Business Economics, Springer, vol. 43(3), pages 529-547, October.
    3. A. Kay & A. Rudd & H. Davies & E. Kendon & R. Jones, 2015. "Use of very high resolution climate model data for hydrological modelling: baseline performance and future flood changes," Climatic Change, Springer, vol. 133(2), pages 193-208, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:401:y:2014:i:c:p:112-117. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.