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A community-built calibration system: The case study of quantification of metabolites in grape juice by qNMR spectroscopy

  • Biagia Musio
  • , Rosa Ragone
  • , Stefano Todisco
  • , Antonino Rizzuti
  • , Mario Latronico
  • , Piero Mastrorilli
  • , Stefania Pontrelli
  • , Nicola Intini
  • , Pasquale Scapicchio
  • , Maurizio Triggiani
  • , Tommaso Di Noia
  • , Domenico Acquotti
  • , Cristina Airoldi
  • , Michael Assfalg
  • , Alessandro Barge
  • , Lorraine Bateman
  • , Francesca Benevelli
  • , Davide Bertelli
  • , Fabio Bertocchi
  • , Aurimas Bieliauskas
  • Anna Borioni, Augusta Caligiani, Emanuela Callone, Ales Čamra, Flaminia Cesare Marincola, Dinesh Chalasani, Roberto Consonni, Paolo Dambruoso, Silvia Davalli, Taylor David, Bernd Diehl, James Donarski, Ana M. Gil, Roberto Gobetto, Luca Goldoni, Erwann Hamon, John S. Harwood, Andrea Kobrlová, Francesco Longobardi, Renzo Luisi, Domenico Mallamace, Stefano Mammi, Magali Martin-Biran, Pierluigi Mazzei, Andrea Mele, Salvatore Milone, Dolores Molero Vilchez, Roger J. Mulder, Claudia Napoli, Daniele Ragno, Antonio Randazzo, Maria Cecilia Rossi, Archimede Rotondo, Algirdas Šačkus, Elena Sáez Barajas, Elisabetta Schievano, Bhavaraju Sitaram, Livio Stevanato, Panteleimon G. Takis, Jan Teipel, Freddy Thomas, Elisabetta Torregiani, Daniela Valensin, Marina Veronesi, John Warren, Julien Wist, Elina Zailer-Hafer, Cristiano Zuccaccia, Vito Gallo
  • Polytechnic University of Bari
  • Agenzia Regionale per la Prevenzione e la Protezione dell'Ambiente
  • SAMER (Special Agency of the Chamber of Commerce of Bari)
  • RETELAB (Italian network of the laboratories of the Chambers of Commerce) and LACHIMER (Special Agency of the Chamber of Commerce of Foggia)
  • University of Parma
  • University of Milan - Bicocca
  • University of Verona
  • University of Turin
  • Bruker Corporation
  • 7C-Consortium for NMR Research in Biotechnology and Material Science
  • University of Modena and Reggio Emilia
  • University of Rome Tor Vergata
  • Kaunas University of Technology
  • Istituto Superiore di Sanita
  • University of Trento
  • General Directorate of Customs
  • University of Cagliari
  • The United States Pharmacopeial Convention
  • National Research Council of Italy
  • Evotec, AG
  • Spectral Service AG
  • The Food and Environment Research Agency
  • University of Aveiro
  • Italian Institute of Technology
  • Aérial
  • Purdue University
  • University of Bari
  • University of Messina
  • University of Padua
  • Ctre Recherche Valorisation Application (CEREVAA)
  • University of Naples Federico II
  • Polytechnic University of Milan
  • Experimental Zooprophylactic Institute of Abruzzo and Molise "G. Caporale"
  • Complutense University
  • CSIRO
  • University of Ferrara
  • Science4life s.r.l.
  • Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine – CERM/CIRMMP
  • Chemical and Veterinary Investigation Agency of East-Westphalia-Lippe
  • Eurofins GSC Lux SARL
  • University of Camerino
  • University of Siena
  • LGC Ltd.
  • Universidad del Valle
  • University of Perugia

Research output: Contribution to journalArticlepeer-review

Abstract

Nuclear Magnetic Resonance (NMR) is an analytical technique extensively used in almost every chemical laboratory for structural identification. This technique provides statistically equivalent signals in spite of using spectrometer with different hardware features and is successfully used for the traceability and quantification of analytes in food samples. Nevertheless, to date only a few internationally agreed guidelines have been reported on the use of NMR for quantitative analysis. The main goal of the present study is to provide a methodological pipeline to assess the reproducibility of NMR data produced for a given matrix by spectrometers from different manufacturers, with different magnetic field strengths, age and hardware configurations. The results have been analyzed through a sequence of chemometric tests to generate a community-built calibration system which was used to verify the performance of the spectrometers and the reproducibility of the predicted sample concentrations.

Original languageEnglish
Article number120855
JournalTalanta
Volume214
DOIs
Publication statusPublished - 1 Jul 2020

Keywords

  • Calibration
  • Food quality control
  • Interlaboratory comparison
  • Multiple regression
  • qNMR
  • Validation

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