IDENTIFICACIÓN DE ADULTERANTES SOYA, FRÍJOL Y CEBADA EN CAFÉ TOSTADO Y MOLIDO UTILIZANDO EFA-IRTF
Detection and quantification of adulterants in processed coffee is very important, because some sensorial characteristics and grain size are readily reproducible with products as cereals, legumes, seeds, roots and bad quality coffee after roast and ground. In this work, spectral characteristics of m...
Ausführliche Beschreibung
Autor*in: |
Fernando Gordillo-Delgado [verfasserIn] Ángela J. García-Salcedo [verfasserIn] Claudia Mejía-Morales [verfasserIn] |
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E-Artikel |
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Spanisch |
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2012 |
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Übergeordnetes Werk: |
In: Temas Agrarios - Universidad de Córdoba, 2019, 17(2012), 1, Seite 52-59 |
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Übergeordnetes Werk: |
volume:17 ; year:2012 ; number:1 ; pages:52-59 |
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Katalog-ID: |
DOAJ027634485 |
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(DE-627)DOAJ027634485 (DE-599)DOAJ191c6a0788734b8ea69fe590ab4bf5d1 DE-627 ger DE-627 rakwb spa Fernando Gordillo-Delgado verfasserin aut IDENTIFICACIÓN DE ADULTERANTES SOYA, FRÍJOL Y CEBADA EN CAFÉ TOSTADO Y MOLIDO UTILIZANDO EFA-IRTF 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Detection and quantification of adulterants in processed coffee is very important, because some sensorial characteristics and grain size are readily reproducible with products as cereals, legumes, seeds, roots and bad quality coffee after roast and ground. In this work, spectral characteristics of medium-roasted coffee powder that was blended to different concentrations with barley, bean and soy, are defined. This was done using infrared photoacoustic (PA) spectroscopy with Fourier transform. The samples were placed into a PA cell, which was adapted to a spectrophotometer as accessory for measuring. Principal Component Analysis (PCA) was applied on the spectra derivatives in order to estimate the effect of each adulterant. It was noted from the spectra behavior and PCA, that some characteristics of coffee, related to lipids and carbohydrates content, are modified in a different way when it is blended with the adulterants in different proportions. This analysis strengthens the definition of criteria that can be used for discriminating roasted and ground coffee, according to the degree of purity. coffee adulterants infrared photoacoustic spectroscopy Agriculture S Ángela J. García-Salcedo verfasserin aut Claudia Mejía-Morales verfasserin aut In Temas Agrarios Universidad de Córdoba, 2019 17(2012), 1, Seite 52-59 (DE-627)786152788 (DE-600)2771573-5 23899182 nnns volume:17 year:2012 number:1 pages:52-59 https://doaj.org/article/191c6a0788734b8ea69fe590ab4bf5d1 kostenfrei http://www.unicordoba.edu.co/revistas/rta/documentos/17-1/5%20IDENTIFICACION%20DEL%20CAFE.pdf kostenfrei https://doaj.org/toc/0122-7610 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 17 2012 1 52-59 |
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(DE-627)DOAJ027634485 (DE-599)DOAJ191c6a0788734b8ea69fe590ab4bf5d1 DE-627 ger DE-627 rakwb spa Fernando Gordillo-Delgado verfasserin aut IDENTIFICACIÓN DE ADULTERANTES SOYA, FRÍJOL Y CEBADA EN CAFÉ TOSTADO Y MOLIDO UTILIZANDO EFA-IRTF 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Detection and quantification of adulterants in processed coffee is very important, because some sensorial characteristics and grain size are readily reproducible with products as cereals, legumes, seeds, roots and bad quality coffee after roast and ground. In this work, spectral characteristics of medium-roasted coffee powder that was blended to different concentrations with barley, bean and soy, are defined. This was done using infrared photoacoustic (PA) spectroscopy with Fourier transform. The samples were placed into a PA cell, which was adapted to a spectrophotometer as accessory for measuring. Principal Component Analysis (PCA) was applied on the spectra derivatives in order to estimate the effect of each adulterant. It was noted from the spectra behavior and PCA, that some characteristics of coffee, related to lipids and carbohydrates content, are modified in a different way when it is blended with the adulterants in different proportions. This analysis strengthens the definition of criteria that can be used for discriminating roasted and ground coffee, according to the degree of purity. coffee adulterants infrared photoacoustic spectroscopy Agriculture S Ángela J. García-Salcedo verfasserin aut Claudia Mejía-Morales verfasserin aut In Temas Agrarios Universidad de Córdoba, 2019 17(2012), 1, Seite 52-59 (DE-627)786152788 (DE-600)2771573-5 23899182 nnns volume:17 year:2012 number:1 pages:52-59 https://doaj.org/article/191c6a0788734b8ea69fe590ab4bf5d1 kostenfrei http://www.unicordoba.edu.co/revistas/rta/documentos/17-1/5%20IDENTIFICACION%20DEL%20CAFE.pdf kostenfrei https://doaj.org/toc/0122-7610 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 17 2012 1 52-59 |
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(DE-627)DOAJ027634485 (DE-599)DOAJ191c6a0788734b8ea69fe590ab4bf5d1 DE-627 ger DE-627 rakwb spa Fernando Gordillo-Delgado verfasserin aut IDENTIFICACIÓN DE ADULTERANTES SOYA, FRÍJOL Y CEBADA EN CAFÉ TOSTADO Y MOLIDO UTILIZANDO EFA-IRTF 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Detection and quantification of adulterants in processed coffee is very important, because some sensorial characteristics and grain size are readily reproducible with products as cereals, legumes, seeds, roots and bad quality coffee after roast and ground. In this work, spectral characteristics of medium-roasted coffee powder that was blended to different concentrations with barley, bean and soy, are defined. This was done using infrared photoacoustic (PA) spectroscopy with Fourier transform. The samples were placed into a PA cell, which was adapted to a spectrophotometer as accessory for measuring. Principal Component Analysis (PCA) was applied on the spectra derivatives in order to estimate the effect of each adulterant. It was noted from the spectra behavior and PCA, that some characteristics of coffee, related to lipids and carbohydrates content, are modified in a different way when it is blended with the adulterants in different proportions. This analysis strengthens the definition of criteria that can be used for discriminating roasted and ground coffee, according to the degree of purity. coffee adulterants infrared photoacoustic spectroscopy Agriculture S Ángela J. García-Salcedo verfasserin aut Claudia Mejía-Morales verfasserin aut In Temas Agrarios Universidad de Córdoba, 2019 17(2012), 1, Seite 52-59 (DE-627)786152788 (DE-600)2771573-5 23899182 nnns volume:17 year:2012 number:1 pages:52-59 https://doaj.org/article/191c6a0788734b8ea69fe590ab4bf5d1 kostenfrei http://www.unicordoba.edu.co/revistas/rta/documentos/17-1/5%20IDENTIFICACION%20DEL%20CAFE.pdf kostenfrei https://doaj.org/toc/0122-7610 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 17 2012 1 52-59 |
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IDENTIFICACIÓN DE ADULTERANTES SOYA, FRÍJOL Y CEBADA EN CAFÉ TOSTADO Y MOLIDO UTILIZANDO EFA-IRTF coffee adulterants infrared photoacoustic spectroscopy |
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IDENTIFICACIÓN DE ADULTERANTES SOYA, FRÍJOL Y CEBADA EN CAFÉ TOSTADO Y MOLIDO UTILIZANDO EFA-IRTF |
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IDENTIFICACIÓN DE ADULTERANTES SOYA, FRÍJOL Y CEBADA EN CAFÉ TOSTADO Y MOLIDO UTILIZANDO EFA-IRTF |
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identificación de adulterantes soya, fríjol y cebada en café tostado y molido utilizando efa-irtf |
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IDENTIFICACIÓN DE ADULTERANTES SOYA, FRÍJOL Y CEBADA EN CAFÉ TOSTADO Y MOLIDO UTILIZANDO EFA-IRTF |
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Detection and quantification of adulterants in processed coffee is very important, because some sensorial characteristics and grain size are readily reproducible with products as cereals, legumes, seeds, roots and bad quality coffee after roast and ground. In this work, spectral characteristics of medium-roasted coffee powder that was blended to different concentrations with barley, bean and soy, are defined. This was done using infrared photoacoustic (PA) spectroscopy with Fourier transform. The samples were placed into a PA cell, which was adapted to a spectrophotometer as accessory for measuring. Principal Component Analysis (PCA) was applied on the spectra derivatives in order to estimate the effect of each adulterant. It was noted from the spectra behavior and PCA, that some characteristics of coffee, related to lipids and carbohydrates content, are modified in a different way when it is blended with the adulterants in different proportions. This analysis strengthens the definition of criteria that can be used for discriminating roasted and ground coffee, according to the degree of purity. |
abstractGer |
Detection and quantification of adulterants in processed coffee is very important, because some sensorial characteristics and grain size are readily reproducible with products as cereals, legumes, seeds, roots and bad quality coffee after roast and ground. In this work, spectral characteristics of medium-roasted coffee powder that was blended to different concentrations with barley, bean and soy, are defined. This was done using infrared photoacoustic (PA) spectroscopy with Fourier transform. The samples were placed into a PA cell, which was adapted to a spectrophotometer as accessory for measuring. Principal Component Analysis (PCA) was applied on the spectra derivatives in order to estimate the effect of each adulterant. It was noted from the spectra behavior and PCA, that some characteristics of coffee, related to lipids and carbohydrates content, are modified in a different way when it is blended with the adulterants in different proportions. This analysis strengthens the definition of criteria that can be used for discriminating roasted and ground coffee, according to the degree of purity. |
abstract_unstemmed |
Detection and quantification of adulterants in processed coffee is very important, because some sensorial characteristics and grain size are readily reproducible with products as cereals, legumes, seeds, roots and bad quality coffee after roast and ground. In this work, spectral characteristics of medium-roasted coffee powder that was blended to different concentrations with barley, bean and soy, are defined. This was done using infrared photoacoustic (PA) spectroscopy with Fourier transform. The samples were placed into a PA cell, which was adapted to a spectrophotometer as accessory for measuring. Principal Component Analysis (PCA) was applied on the spectra derivatives in order to estimate the effect of each adulterant. It was noted from the spectra behavior and PCA, that some characteristics of coffee, related to lipids and carbohydrates content, are modified in a different way when it is blended with the adulterants in different proportions. This analysis strengthens the definition of criteria that can be used for discriminating roasted and ground coffee, according to the degree of purity. |
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IDENTIFICACIÓN DE ADULTERANTES SOYA, FRÍJOL Y CEBADA EN CAFÉ TOSTADO Y MOLIDO UTILIZANDO EFA-IRTF |
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|
score |
7.4004955 |