FT-IR and untargeted chemometric analysis for adulterant detection in chia and sesame oils
Chia (Salvia hispanica L.) and sesame (Sesamum indicum L.) oils are valorized for their health benefits and both are extensively used as ingredients in different food formulations and/or processes. Their retail prices are higher than those of other edible oils and might promote fraudulent adulterati...
| Main Authors: | , , , , |
|---|---|
| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
| Published: |
Elsevier
2019
|
| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/article/pii/S0956713519302336 http://hdl.handle.net/20.500.12123/5224 https://doi.org/10.1016/j.foodcont.2019.05.025 |
| _version_ | 1855035460305289216 |
|---|---|
| author | Rodríguez, Silvio David Gagneten, Maite Farroni, Abel Eduardo Percibaldi, Nora Mabel Buera, María del Pilar |
| author_browse | Buera, María del Pilar Farroni, Abel Eduardo Gagneten, Maite Percibaldi, Nora Mabel Rodríguez, Silvio David |
| author_facet | Rodríguez, Silvio David Gagneten, Maite Farroni, Abel Eduardo Percibaldi, Nora Mabel Buera, María del Pilar |
| author_sort | Rodríguez, Silvio David |
| collection | INTA Digital |
| description | Chia (Salvia hispanica L.) and sesame (Sesamum indicum L.) oils are valorized for their health benefits and both are extensively used as ingredients in different food formulations and/or processes. Their retail prices are higher than those of other edible oils and might promote fraudulent adulterations. Spectroscopic methods associated to untargeted analysis are appropriate and faster than traditional techniques, requiring less time to prepare and run the samples. In the present study Fourier transform infrared spectroscopy was used in combination with one class partial least squares and soft independent modelling by class analogy to detect the presence of four possible adulterants: corn, peanut, soybean and sunflower oils, in four different proportions (pure + adulterant: 90 + 10, 95 + 5, 98 + 2 and 99 + 1, in volume). Untargeted approaches were successful in the detection of adulterated chia and sesame oils with acceptable prediction errors ranging between 1% and 5%. |
| format | info:ar-repo/semantics/artículo |
| id | INTA5224 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA52242019-05-30T15:01:28Z FT-IR and untargeted chemometric analysis for adulterant detection in chia and sesame oils Rodríguez, Silvio David Gagneten, Maite Farroni, Abel Eduardo Percibaldi, Nora Mabel Buera, María del Pilar Calidad de los Alimentos Salvia (género) Aceite de Sésamo Adulteración de Alimentos Análisis Food Quality Salvia Sesame Oil Food Adulteration Analysis Análisis no dirigido Aceite de chía Chia (Salvia hispanica L.) and sesame (Sesamum indicum L.) oils are valorized for their health benefits and both are extensively used as ingredients in different food formulations and/or processes. Their retail prices are higher than those of other edible oils and might promote fraudulent adulterations. Spectroscopic methods associated to untargeted analysis are appropriate and faster than traditional techniques, requiring less time to prepare and run the samples. In the present study Fourier transform infrared spectroscopy was used in combination with one class partial least squares and soft independent modelling by class analogy to detect the presence of four possible adulterants: corn, peanut, soybean and sunflower oils, in four different proportions (pure + adulterant: 90 + 10, 95 + 5, 98 + 2 and 99 + 1, in volume). Untargeted approaches were successful in the detection of adulterated chia and sesame oils with acceptable prediction errors ranging between 1% and 5%. EEA Pergamino Fil: Rodríguez, Silvio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Instituto de Biodiversidad y Biología Experimental y Aplicada (IBBEA); Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Gagneten, Maite. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina, Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Instituto de Alimentos y Procesos Químicos (ITAPROQ); Argentina Fil: Farroni, Abel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio de Calidad de Alimentos, Suelos y Aguas; Argentina Fil: Percibaldi, Nora Mabel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio de Calidad de Alimentos, Suelos y Aguas; Argenina Fil: Buera, María del Pilar. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina, Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Instituto de Alimentos y Procesos Químicos (ITAPROQ); Argentina 2019-05-30T14:52:46Z 2019-05-30T14:52:46Z 2019-05 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.sciencedirect.com/science/article/pii/S0956713519302336 http://hdl.handle.net/20.500.12123/5224 0956-7135 (digital) https://doi.org/10.1016/j.foodcont.2019.05.025 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Food Control 105 : 78-85 (November 2019) |
| spellingShingle | Calidad de los Alimentos Salvia (género) Aceite de Sésamo Adulteración de Alimentos Análisis Food Quality Salvia Sesame Oil Food Adulteration Analysis Análisis no dirigido Aceite de chía Rodríguez, Silvio David Gagneten, Maite Farroni, Abel Eduardo Percibaldi, Nora Mabel Buera, María del Pilar FT-IR and untargeted chemometric analysis for adulterant detection in chia and sesame oils |
| title | FT-IR and untargeted chemometric analysis for adulterant detection in chia and sesame oils |
| title_full | FT-IR and untargeted chemometric analysis for adulterant detection in chia and sesame oils |
| title_fullStr | FT-IR and untargeted chemometric analysis for adulterant detection in chia and sesame oils |
| title_full_unstemmed | FT-IR and untargeted chemometric analysis for adulterant detection in chia and sesame oils |
| title_short | FT-IR and untargeted chemometric analysis for adulterant detection in chia and sesame oils |
| title_sort | ft ir and untargeted chemometric analysis for adulterant detection in chia and sesame oils |
| topic | Calidad de los Alimentos Salvia (género) Aceite de Sésamo Adulteración de Alimentos Análisis Food Quality Salvia Sesame Oil Food Adulteration Analysis Análisis no dirigido Aceite de chía |
| url | https://www.sciencedirect.com/science/article/pii/S0956713519302336 http://hdl.handle.net/20.500.12123/5224 https://doi.org/10.1016/j.foodcont.2019.05.025 |
| work_keys_str_mv | AT rodriguezsilviodavid ftiranduntargetedchemometricanalysisforadulterantdetectioninchiaandsesameoils AT gagnetenmaite ftiranduntargetedchemometricanalysisforadulterantdetectioninchiaandsesameoils AT farroniabeleduardo ftiranduntargetedchemometricanalysisforadulterantdetectioninchiaandsesameoils AT percibaldinoramabel ftiranduntargetedchemometricanalysisforadulterantdetectioninchiaandsesameoils AT bueramariadelpilar ftiranduntargetedchemometricanalysisforadulterantdetectioninchiaandsesameoils |