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No. de sistema: 000060304

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008 _ _ 200421m20199999xx^^r^p^o^^^^z0^^^a0eng^d
040 _ _ a| ECO
c| ECO
043 _ _ a| n-mx-ca
044 _ _ a| xx
245 0 0 a| Raman spectroscopy and chemometric modeling to predict physical-chemical honey properties from Campeche, Mexico
506 _ _ a| Acceso en línea sin restricciones
520 1 _ a| In this work, 10 chemometric models based on Raman spectroscopy were constructed to predict the physicochemical properties of honey produced in the state of Campeche, Mexico. The properties of honey studied were pH, moisture, total soluble solids (TSS), free acidity, lactonic acidity, total acidity, electrical conductivity, Redox potential, hydroxymethylfurfural (HMF), and ash content. These proprieties were obtained according to the methods described by the Association of Official Analytical Chemists, Codex Alimentarius, and the International Honey Commission. For the construction of the chemometric models, 189 honey samples were collected and analyzed in triplicate using Raman spectroscopy to generate the matrix data [X], which were correlated with each of the physicochemical properties [Y]. The predictive capacity of each model was determined by cross validation and external validation, using the statistical parameters: standard error of calibration (SEC), standard error of prediction (SEP), coefficient of determination of cross-validation (R2 cal), coefficient of determination for external validation (R2 val), and Student’s t-test. The statistical results indicated that the chemometric models satisfactorily predict the humidity, TSS, free acidity, lactonic acidity, total acidity, and Redox potential. However, the models for electric conductivity and pH presented an acceptable prediction capacity but not adequate to supply the conventional processes, while the models for predicting ash content and HMF were not satisfactory. The developed models represent a low-cost tool to analyze the quality of honey, and contribute significantly to increasing the honey distribution and subsequently the economy of the region.
530 _ _ a| Disponible en línea
533 _ _ a| Reproducción electrónica en formato PDF
538 _ _ a| Adobe Acrobat profesional 6.0 o superior
650 _ 4 a| Miel de abejas
650 _ 4 a| Espectroscopía de Raman
650 _ 4 a| Propiedades físico química de la miel
650 _ 4 a| Control de calidad
651 _ 4 a| Campeche (México)
700 1 _ a| Anguebes Franceschi, Francisco
e| autor
700 1 _ a| Abatal, Mohamed
e| autor
700 1 _ a| Pat Fernández, Lucio Alberto
700 1 _ a| Flores, Aaron
e| autor
700 1 _ a| Córdova Quiroz, Atl Víctor
e| autor
700 1 _ a| Ramírez Elías, Miguel Ángel
e| autor
700 1 _ a| San Pedro, Liliana
e| autora
700 1 _ a| May Tzuc, Oscar
e| auor
700 1 _ a| Bassam, Ali
e| autor
773 0 _
t| Molecules
g| Vol. 24, no. 22, e-4091 (November 2019), p. 1-18
x| 1420-3049
856 4 1 u| https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891675/
z| Artículo electrónico
856 _ _ u| http://aleph.ecosur.mx:8991/F?func=service&doc_library=CFS01&local_base=CFS01&doc_number=000060304&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
y| Artículo electrónico
901 _ _ a| Artículo con arbitraje
902 _ _ a| GOG / MM
904 _ _ a| Abril 2020
905 _ _ a| Artecosur
905 _ _ a| Artfrosur
905 _ _ a| Biblioelectrónica
LNG eng
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Raman spectroscopy and chemometric modeling to predict physical-chemical honey properties from Campeche, Mexico
Anguebes Franceschi, Francisco (autor)
Abatal, Mohamed (autor)
Pat Fernández, Lucio Alberto (autor)
Flores, Aaron (autor)
Córdova Quiroz, Atl Víctor (autor)
Ramírez Elías, Miguel Ángel (autor)
San Pedro, Liliana (autora)
May Tzuc, Oscar (auor)
Bassam, Ali (autor)
Nota: Disponible en línea
Acceso en línea sin restricciones
Contenido en: Molecules. Vol. 24, no. 22, e-4091 (November 2019), p. 1-18. ISSN: 1420-3049
No. de sistema: 60304
Tipo: - Artículo con arbitraje
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"In this work, 10 chemometric models based on Raman spectroscopy were constructed to predict the physicochemical properties of honey produced in the state of Campeche, Mexico. The properties of honey studied were pH, moisture, total soluble solids (TSS), free acidity, lactonic acidity, total acidity, electrical conductivity, Redox potential, hydroxymethylfurfural (HMF), and ash content. These proprieties were obtained according to the methods described by the Association of Official Analytical Chemists, Codex Alimentarius, and the International Honey Commission. For the construction of the chemometric models, 189 honey samples were collected and analyzed in triplicate using Raman spectroscopy to generate the matrix data [X], which were correlated with each of the physicochemical properties [Y]. The predictive capacity of each model was determined by cross validation and external validation, using the statistical parameters: standard error of calibration (SEC), standard error of prediction (SEP), coefficient of determination of cross-validation (R2 cal), coefficient of determination for external validation (R2 val), and Student’s t-test. The statistical results indicated that the chemometric models satisfactorily predict the humidity, TSS, free acidity, lactonic acidity, total acidity, and Redox potential. However, the models for electric conductivity and pH presented an acceptable prediction capacity but not adequate to supply the conventional processes, while the models for predicting ash content and HMF were not satisfactory. The developed models represent a low-cost tool to analyze the quality of honey, and contribute significantly to increasing the honey distribution and subsequently the economy of the region."


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