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

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 tr...

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Veröffentlicht in:Talanta (Oxford) 2020-07, Vol.214, p.120855-120855, Article 120855
Hauptverfasser: Musio, Biagia, Ragone, Rosa, Todisco, Stefano, Rizzuti, Antonino, Latronico, Mario, Mastrorilli, Piero, Pontrelli, Stefania, Intini, Nicola, Scapicchio, Pasquale, Triggiani, Maurizio, Di Noia, Tommaso, Acquotti, Domenico, Airoldi, Cristina, Assfalg, Michael, Barge, Alessandro, Bateman, Lorraine, Benevelli, Francesca, Bertelli, Davide, Bertocchi, Fabio, Bieliauskas, Aurimas, Borioni, Anna, Caligiani, Augusta, Callone, Emanuela, Čamra, Ales, Cesare Marincola, Flaminia, Chalasani, Dinesh, Consonni, Roberto, Dambruoso, Paolo, Davalli, Silvia, David, Taylor, Diehl, Bernd, Donarski, James, Gil, Ana M., Gobetto, Roberto, Goldoni, Luca, Hamon, Erwann, Harwood, John S., Kobrlová, Andrea, Longobardi, Francesco, Luisi, Renzo, Mallamace, Domenico, Mammi, Stefano, Martin-Biran, Magali, Mazzei, Pierluigi, Mele, Andrea, Milone, Salvatore, Molero Vilchez, Dolores, Mulder, Roger J., Napoli, Claudia, Ragno, Daniele, Randazzo, Antonio, Rossi, Maria Cecilia, Rotondo, Archimede, Šačkus, Algirdas, Sáez Barajas, Elena, Schievano, Elisabetta, Sitaram, Bhavaraju, Stevanato, Livio, Takis, Panteleimon G., Teipel, Jan, Thomas, Freddy, Torregiani, Elisabetta, Valensin, Daniela, Veronesi, Marina, Warren, John, Wist, Julien, Zailer-Hafer, Elina, Zuccaccia, Cristiano, Gallo, Vito
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container_title Talanta (Oxford)
container_volume 214
creator Musio, Biagia
Ragone, Rosa
Todisco, Stefano
Rizzuti, Antonino
Latronico, Mario
Mastrorilli, Piero
Pontrelli, Stefania
Intini, Nicola
Scapicchio, Pasquale
Triggiani, Maurizio
Di Noia, Tommaso
Acquotti, Domenico
Airoldi, Cristina
Assfalg, Michael
Barge, Alessandro
Bateman, Lorraine
Benevelli, Francesca
Bertelli, Davide
Bertocchi, Fabio
Bieliauskas, Aurimas
Borioni, Anna
Caligiani, Augusta
Callone, Emanuela
Čamra, Ales
Cesare Marincola, Flaminia
Chalasani, Dinesh
Consonni, Roberto
Dambruoso, Paolo
Davalli, Silvia
David, Taylor
Diehl, Bernd
Donarski, James
Gil, Ana M.
Gobetto, Roberto
Goldoni, Luca
Hamon, Erwann
Harwood, John S.
Kobrlová, Andrea
Longobardi, Francesco
Luisi, Renzo
Mallamace, Domenico
Mammi, Stefano
Martin-Biran, Magali
Mazzei, Pierluigi
Mele, Andrea
Milone, Salvatore
Molero Vilchez, Dolores
Mulder, Roger J.
Napoli, Claudia
Ragno, Daniele
Randazzo, Antonio
Rossi, Maria Cecilia
Rotondo, Archimede
Šačkus, Algirdas
Sáez Barajas, Elena
Schievano, Elisabetta
Sitaram, Bhavaraju
Stevanato, Livio
Takis, Panteleimon G.
Teipel, Jan
Thomas, Freddy
Torregiani, Elisabetta
Valensin, Daniela
Veronesi, Marina
Warren, John
Wist, Julien
Zailer-Hafer, Elina
Zuccaccia, Cristiano
Gallo, Vito
description 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. [Display omitted] •Multiple regression analysis of NMR data produced by 65 different spectrometers.•Quality assurance pipeline to select well performing NMR spectrometers.•Community-built calibration system for quantification of metabolites by qNMR.•Reproducible metabolite quantification by statistically equivalent NMR signals.•Open interlaboratory comparison based on community-built calibration system.
doi_str_mv 10.1016/j.talanta.2020.120855
format Article
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[Display omitted] •Multiple regression analysis of NMR data produced by 65 different spectrometers.•Quality assurance pipeline to select well performing NMR spectrometers.•Community-built calibration system for quantification of metabolites by qNMR.•Reproducible metabolite quantification by statistically equivalent NMR signals.•Open interlaboratory comparison based on community-built calibration system.</description><subject>Calibration</subject><subject>Food quality control</subject><subject>Interlaboratory comparison</subject><subject>Multiple 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Cristiano</creatorcontrib><creatorcontrib>Gallo, Vito</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Talanta (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Musio, Biagia</au><au>Ragone, Rosa</au><au>Todisco, Stefano</au><au>Rizzuti, Antonino</au><au>Latronico, Mario</au><au>Mastrorilli, Piero</au><au>Pontrelli, Stefania</au><au>Intini, Nicola</au><au>Scapicchio, Pasquale</au><au>Triggiani, Maurizio</au><au>Di Noia, Tommaso</au><au>Acquotti, Domenico</au><au>Airoldi, Cristina</au><au>Assfalg, Michael</au><au>Barge, Alessandro</au><au>Bateman, Lorraine</au><au>Benevelli, Francesca</au><au>Bertelli, Davide</au><au>Bertocchi, Fabio</au><au>Bieliauskas, Aurimas</au><au>Borioni, Anna</au><au>Caligiani, Augusta</au><au>Callone, Emanuela</au><au>Čamra, Ales</au><au>Cesare Marincola, Flaminia</au><au>Chalasani, Dinesh</au><au>Consonni, Roberto</au><au>Dambruoso, Paolo</au><au>Davalli, Silvia</au><au>David, Taylor</au><au>Diehl, Bernd</au><au>Donarski, James</au><au>Gil, Ana M.</au><au>Gobetto, Roberto</au><au>Goldoni, Luca</au><au>Hamon, Erwann</au><au>Harwood, John S.</au><au>Kobrlová, Andrea</au><au>Longobardi, Francesco</au><au>Luisi, Renzo</au><au>Mallamace, Domenico</au><au>Mammi, Stefano</au><au>Martin-Biran, Magali</au><au>Mazzei, Pierluigi</au><au>Mele, Andrea</au><au>Milone, Salvatore</au><au>Molero Vilchez, Dolores</au><au>Mulder, Roger J.</au><au>Napoli, Claudia</au><au>Ragno, Daniele</au><au>Randazzo, Antonio</au><au>Rossi, Maria Cecilia</au><au>Rotondo, Archimede</au><au>Šačkus, Algirdas</au><au>Sáez Barajas, Elena</au><au>Schievano, Elisabetta</au><au>Sitaram, Bhavaraju</au><au>Stevanato, Livio</au><au>Takis, Panteleimon G.</au><au>Teipel, Jan</au><au>Thomas, Freddy</au><au>Torregiani, Elisabetta</au><au>Valensin, Daniela</au><au>Veronesi, Marina</au><au>Warren, John</au><au>Wist, Julien</au><au>Zailer-Hafer, Elina</au><au>Zuccaccia, Cristiano</au><au>Gallo, Vito</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A community-built calibration system: The case study of quantification of metabolites in grape juice by qNMR spectroscopy</atitle><jtitle>Talanta (Oxford)</jtitle><addtitle>Talanta</addtitle><date>2020-07-01</date><risdate>2020</risdate><volume>214</volume><spage>120855</spage><epage>120855</epage><pages>120855-120855</pages><artnum>120855</artnum><issn>0039-9140</issn><eissn>1873-3573</eissn><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. [Display omitted] •Multiple regression analysis of NMR data produced by 65 different spectrometers.•Quality assurance pipeline to select well performing NMR spectrometers.•Community-built calibration system for quantification of metabolites by qNMR.•Reproducible metabolite quantification by statistically equivalent NMR signals.•Open interlaboratory comparison based on community-built calibration system.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>32278434</pmid><doi>10.1016/j.talanta.2020.120855</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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issn 0039-9140
1873-3573
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subjects Calibration
Food quality control
Interlaboratory comparison
Multiple regression
qNMR
Validation
title A community-built calibration system: The case study of quantification of metabolites in grape juice by qNMR spectroscopy
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