H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition
- Autores
- Alonso Salces, Rosa Maria; Segebarth, Nicolás; Garmón Lobato, Sergio; Holland, Margaret V.; Moreno Rojas, José M.; Fernández Pierna, Juan A.; Baeten, Vincent; Fuselli, Sandra R.; Gallo, Blanca; Berrueta, Luis Ángel; Reniero, Fabiano; Guillou, Claude; Héberger, Károly
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- H-NMR spectral data and H and C isotope abundances of virgin olive oils (VOOs) and their unsaponifiable fractions were analyzed by pattern recognition techniques, such as principal component analysis (PCA) and partial-least squares discriminant analysis (PLS-DA). The aim was to develop chemical tools for the authentication of VOOs according to their geographical origin or protected designation of origin (PDO), as well as to detect the mislabeling of the provenance of VOOs, at the regional or national level, or the mislabeling of non-PDO oils as PDO VOOs. The relationship between stable isotope abundances of the VOOs and their unsaponifiable fractions and the latitude of the VOO geographical origin was confirmed, but these criteria were not completely discriminant to differentiate VOOs according to their geographical origin. However, δ2H and/or δ13C data provided complementary geographical information to 1H-NMR data in the PLS-DA binary classification models afforded for VOOs from Greece, Spain, Italy, Izmir (Turkey), Crete (Greece), and the PDOs Riviera Ligure (Italy) and Huile d'olive d'Aix−en−Provence (France). 2H/1H and 13C/12C ratios of the unsaponifiable fractions of VOOs are reported here for the first time. The present approach for PDO Riviera Ligure VOOs, based on 1H-NMR data and C isotope abundance of the bulk oil and its unsaponifiable fraction, outperformed the previously reported classification models. Moreover, the PLS-DA models to authenticate VOOs from Greece and detect non-Greek VOOs achieved over 93% of correct predictions. Practical applications: The research can be applied in the protection of consumers and honest producers and retailers, and provides potential tools for antifraud authorities and regulatory bodies, which face the challenge of detecting fraudulent practices that do not comply with EU regulations in the trade of VOOs, such as the mislabeling of VOOs produced in a certain geographical origin [Commission Implementing Regulation (EC) no 29/2012 and Commission Implementing Regulation (EC) no 1335/2013] and/or under specific EU quality schemes, named PDO or PGI [Council Regulation (EC) no 510/2006].
Fil: Alonso Salces, Rosa Maria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Biología; Argentina. Institute of Health and Consumer Protection; Italia
Fil: Segebarth, Nicolás. Institute of Health and Consumer Protection; Italia
Fil: Garmón Lobato, Sergio. Universidad del Pais Vasco; España
Fil: Holland, Margaret V.. Institute of Health and Consumer Protection; Italia
Fil: Moreno Rojas, José M.. Institute of Health and Consumer Protection; Italia
Fil: Fernández Pierna, Juan A.. Walloon Agricultural Research Centre. Valorisation of Agricultural Products Department; Bélgica
Fil: Baeten, Vincent. Walloon Agricultural Research Centre. Valorisation of Agricultural Products Department; Bélgica
Fil: Fuselli, Sandra R.. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Biología; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina
Fil: Gallo, Blanca. Universidad del Pais Vasco; España
Fil: Berrueta, Luis Ángel. Universidad del Pais Vasco; España
Fil: Reniero, Fabiano. Institute of Health and Consumer Protection; Italia
Fil: Guillou, Claude. Institute of Health and Consumer Protection; Italia
Fil: Héberger, Károly. Hungarian Academy of Sciences. Research Centre for Natural Sciences; Hungría - Materia
-
Nuclear Magnetic Resonance
Unsaponifiable Fraction
Olive Oil
Geographical Origin
Chemometrics
Pattern Recognition - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/10932
Ver los metadatos del registro completo
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H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognitionAlonso Salces, Rosa MariaSegebarth, NicolásGarmón Lobato, SergioHolland, Margaret V.Moreno Rojas, José M.Fernández Pierna, Juan A.Baeten, VincentFuselli, Sandra R.Gallo, BlancaBerrueta, Luis ÁngelReniero, FabianoGuillou, ClaudeHéberger, KárolyNuclear Magnetic ResonanceUnsaponifiable FractionOlive OilGeographical OriginChemometricsPattern Recognitionhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1H-NMR spectral data and H and C isotope abundances of virgin olive oils (VOOs) and their unsaponifiable fractions were analyzed by pattern recognition techniques, such as principal component analysis (PCA) and partial-least squares discriminant analysis (PLS-DA). The aim was to develop chemical tools for the authentication of VOOs according to their geographical origin or protected designation of origin (PDO), as well as to detect the mislabeling of the provenance of VOOs, at the regional or national level, or the mislabeling of non-PDO oils as PDO VOOs. The relationship between stable isotope abundances of the VOOs and their unsaponifiable fractions and the latitude of the VOO geographical origin was confirmed, but these criteria were not completely discriminant to differentiate VOOs according to their geographical origin. However, δ2H and/or δ13C data provided complementary geographical information to 1H-NMR data in the PLS-DA binary classification models afforded for VOOs from Greece, Spain, Italy, Izmir (Turkey), Crete (Greece), and the PDOs Riviera Ligure (Italy) and Huile d'olive d'Aix−en−Provence (France). 2H/1H and 13C/12C ratios of the unsaponifiable fractions of VOOs are reported here for the first time. The present approach for PDO Riviera Ligure VOOs, based on 1H-NMR data and C isotope abundance of the bulk oil and its unsaponifiable fraction, outperformed the previously reported classification models. Moreover, the PLS-DA models to authenticate VOOs from Greece and detect non-Greek VOOs achieved over 93% of correct predictions. Practical applications: The research can be applied in the protection of consumers and honest producers and retailers, and provides potential tools for antifraud authorities and regulatory bodies, which face the challenge of detecting fraudulent practices that do not comply with EU regulations in the trade of VOOs, such as the mislabeling of VOOs produced in a certain geographical origin [Commission Implementing Regulation (EC) no 29/2012 and Commission Implementing Regulation (EC) no 1335/2013] and/or under specific EU quality schemes, named PDO or PGI [Council Regulation (EC) no 510/2006].Fil: Alonso Salces, Rosa Maria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Biología; Argentina. Institute of Health and Consumer Protection; ItaliaFil: Segebarth, Nicolás. Institute of Health and Consumer Protection; ItaliaFil: Garmón Lobato, Sergio. Universidad del Pais Vasco; EspañaFil: Holland, Margaret V.. Institute of Health and Consumer Protection; ItaliaFil: Moreno Rojas, José M.. Institute of Health and Consumer Protection; ItaliaFil: Fernández Pierna, Juan A.. Walloon Agricultural Research Centre. Valorisation of Agricultural Products Department; BélgicaFil: Baeten, Vincent. Walloon Agricultural Research Centre. Valorisation of Agricultural Products Department; BélgicaFil: Fuselli, Sandra R.. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Biología; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; ArgentinaFil: Gallo, Blanca. Universidad del Pais Vasco; EspañaFil: Berrueta, Luis Ángel. Universidad del Pais Vasco; EspañaFil: Reniero, Fabiano. Institute of Health and Consumer Protection; ItaliaFil: Guillou, Claude. Institute of Health and Consumer Protection; ItaliaFil: Héberger, Károly. Hungarian Academy of Sciences. Research Centre for Natural Sciences; HungríaWiley Vch Verlag2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/10932Alonso Salces, Rosa Maria; Segebarth, Nicolás; Garmón Lobato, Sergio; Holland, Margaret V.; Moreno Rojas, José M.; et al.; H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition; Wiley Vch Verlag; European Journal Of Lipid Science And Technology; 117; 12; 12-2015; 1991-20061438-76971438-9312enginfo:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1002/ejlt.201400243info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/ejlt.201400243/abstract;jsessionid=EDF34491ADD7DAE18715E3BA38BF2F9F.f03t01info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T11:29:13Zoai:ri.conicet.gov.ar:11336/10932instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-17 11:29:13.943CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition |
| title |
H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition |
| spellingShingle |
H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition Alonso Salces, Rosa Maria Nuclear Magnetic Resonance Unsaponifiable Fraction Olive Oil Geographical Origin Chemometrics Pattern Recognition |
| title_short |
H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition |
| title_full |
H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition |
| title_fullStr |
H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition |
| title_full_unstemmed |
H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition |
| title_sort |
H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition |
| dc.creator.none.fl_str_mv |
Alonso Salces, Rosa Maria Segebarth, Nicolás Garmón Lobato, Sergio Holland, Margaret V. Moreno Rojas, José M. Fernández Pierna, Juan A. Baeten, Vincent Fuselli, Sandra R. Gallo, Blanca Berrueta, Luis Ángel Reniero, Fabiano Guillou, Claude Héberger, Károly |
| author |
Alonso Salces, Rosa Maria |
| author_facet |
Alonso Salces, Rosa Maria Segebarth, Nicolás Garmón Lobato, Sergio Holland, Margaret V. Moreno Rojas, José M. Fernández Pierna, Juan A. Baeten, Vincent Fuselli, Sandra R. Gallo, Blanca Berrueta, Luis Ángel Reniero, Fabiano Guillou, Claude Héberger, Károly |
| author_role |
author |
| author2 |
Segebarth, Nicolás Garmón Lobato, Sergio Holland, Margaret V. Moreno Rojas, José M. Fernández Pierna, Juan A. Baeten, Vincent Fuselli, Sandra R. Gallo, Blanca Berrueta, Luis Ángel Reniero, Fabiano Guillou, Claude Héberger, Károly |
| author2_role |
author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Nuclear Magnetic Resonance Unsaponifiable Fraction Olive Oil Geographical Origin Chemometrics Pattern Recognition |
| topic |
Nuclear Magnetic Resonance Unsaponifiable Fraction Olive Oil Geographical Origin Chemometrics Pattern Recognition |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
H-NMR spectral data and H and C isotope abundances of virgin olive oils (VOOs) and their unsaponifiable fractions were analyzed by pattern recognition techniques, such as principal component analysis (PCA) and partial-least squares discriminant analysis (PLS-DA). The aim was to develop chemical tools for the authentication of VOOs according to their geographical origin or protected designation of origin (PDO), as well as to detect the mislabeling of the provenance of VOOs, at the regional or national level, or the mislabeling of non-PDO oils as PDO VOOs. The relationship between stable isotope abundances of the VOOs and their unsaponifiable fractions and the latitude of the VOO geographical origin was confirmed, but these criteria were not completely discriminant to differentiate VOOs according to their geographical origin. However, δ2H and/or δ13C data provided complementary geographical information to 1H-NMR data in the PLS-DA binary classification models afforded for VOOs from Greece, Spain, Italy, Izmir (Turkey), Crete (Greece), and the PDOs Riviera Ligure (Italy) and Huile d'olive d'Aix−en−Provence (France). 2H/1H and 13C/12C ratios of the unsaponifiable fractions of VOOs are reported here for the first time. The present approach for PDO Riviera Ligure VOOs, based on 1H-NMR data and C isotope abundance of the bulk oil and its unsaponifiable fraction, outperformed the previously reported classification models. Moreover, the PLS-DA models to authenticate VOOs from Greece and detect non-Greek VOOs achieved over 93% of correct predictions. Practical applications: The research can be applied in the protection of consumers and honest producers and retailers, and provides potential tools for antifraud authorities and regulatory bodies, which face the challenge of detecting fraudulent practices that do not comply with EU regulations in the trade of VOOs, such as the mislabeling of VOOs produced in a certain geographical origin [Commission Implementing Regulation (EC) no 29/2012 and Commission Implementing Regulation (EC) no 1335/2013] and/or under specific EU quality schemes, named PDO or PGI [Council Regulation (EC) no 510/2006]. Fil: Alonso Salces, Rosa Maria. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Biología; Argentina. Institute of Health and Consumer Protection; Italia Fil: Segebarth, Nicolás. Institute of Health and Consumer Protection; Italia Fil: Garmón Lobato, Sergio. Universidad del Pais Vasco; España Fil: Holland, Margaret V.. Institute of Health and Consumer Protection; Italia Fil: Moreno Rojas, José M.. Institute of Health and Consumer Protection; Italia Fil: Fernández Pierna, Juan A.. Walloon Agricultural Research Centre. Valorisation of Agricultural Products Department; Bélgica Fil: Baeten, Vincent. Walloon Agricultural Research Centre. Valorisation of Agricultural Products Department; Bélgica Fil: Fuselli, Sandra R.. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Biología; Argentina. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina Fil: Gallo, Blanca. Universidad del Pais Vasco; España Fil: Berrueta, Luis Ángel. Universidad del Pais Vasco; España Fil: Reniero, Fabiano. Institute of Health and Consumer Protection; Italia Fil: Guillou, Claude. Institute of Health and Consumer Protection; Italia Fil: Héberger, Károly. Hungarian Academy of Sciences. Research Centre for Natural Sciences; Hungría |
| description |
H-NMR spectral data and H and C isotope abundances of virgin olive oils (VOOs) and their unsaponifiable fractions were analyzed by pattern recognition techniques, such as principal component analysis (PCA) and partial-least squares discriminant analysis (PLS-DA). The aim was to develop chemical tools for the authentication of VOOs according to their geographical origin or protected designation of origin (PDO), as well as to detect the mislabeling of the provenance of VOOs, at the regional or national level, or the mislabeling of non-PDO oils as PDO VOOs. The relationship between stable isotope abundances of the VOOs and their unsaponifiable fractions and the latitude of the VOO geographical origin was confirmed, but these criteria were not completely discriminant to differentiate VOOs according to their geographical origin. However, δ2H and/or δ13C data provided complementary geographical information to 1H-NMR data in the PLS-DA binary classification models afforded for VOOs from Greece, Spain, Italy, Izmir (Turkey), Crete (Greece), and the PDOs Riviera Ligure (Italy) and Huile d'olive d'Aix−en−Provence (France). 2H/1H and 13C/12C ratios of the unsaponifiable fractions of VOOs are reported here for the first time. The present approach for PDO Riviera Ligure VOOs, based on 1H-NMR data and C isotope abundance of the bulk oil and its unsaponifiable fraction, outperformed the previously reported classification models. Moreover, the PLS-DA models to authenticate VOOs from Greece and detect non-Greek VOOs achieved over 93% of correct predictions. Practical applications: The research can be applied in the protection of consumers and honest producers and retailers, and provides potential tools for antifraud authorities and regulatory bodies, which face the challenge of detecting fraudulent practices that do not comply with EU regulations in the trade of VOOs, such as the mislabeling of VOOs produced in a certain geographical origin [Commission Implementing Regulation (EC) no 29/2012 and Commission Implementing Regulation (EC) no 1335/2013] and/or under specific EU quality schemes, named PDO or PGI [Council Regulation (EC) no 510/2006]. |
| publishDate |
2015 |
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2015-12 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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http://hdl.handle.net/11336/10932 Alonso Salces, Rosa Maria; Segebarth, Nicolás; Garmón Lobato, Sergio; Holland, Margaret V.; Moreno Rojas, José M.; et al.; H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition; Wiley Vch Verlag; European Journal Of Lipid Science And Technology; 117; 12; 12-2015; 1991-2006 1438-7697 1438-9312 |
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http://hdl.handle.net/11336/10932 |
| identifier_str_mv |
Alonso Salces, Rosa Maria; Segebarth, Nicolás; Garmón Lobato, Sergio; Holland, Margaret V.; Moreno Rojas, José M.; et al.; H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition; Wiley Vch Verlag; European Journal Of Lipid Science And Technology; 117; 12; 12-2015; 1991-2006 1438-7697 1438-9312 |
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eng |
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