Characterization of honeys from Hatay Region by their physicochemical properties combined with chemometrics

Yücel, Yasin; ̆lu, Pınar Sultanog

doi:10.1016/j.fbio.2013.02.001

Cited by 81 publications

(69 citation statements)

References 19 publications

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“…En esteúltimo sector Velásquez (2013) reportaron valores de humedad similares entre 17, 12 y 19,75 %. Dado que algunos autores indican que el contenido de humedad de la miel depende del contenido de agua del néctar de la planta, el nivel de maduración alcanzado en la colmena, las condiciones de procesamiento y almacenamiento, el periodo estacional ( Yücel & Sultanoǧlu, 2013;Nanda, et al, 2003) y la diversidad de los lugares de procedencia de las muestras de miel analizadas, es factible que las pequeñas diferencias encontradas puedan ser explicadas por la variación en estos factores.…”

Section: Análisis Fisicoquímicounclassified

“…Los bajos valores de cenizas y conductividad eléctrica, relacionados entre sí, indican que las mieles del Oriente y Suroeste de Antioquia analizadas son de origen floral y que posiblemente ninguna de las muestras fue adulterada con melazas (Mendes, et al, 1998). En particular, las mieles estudiadas provenientes del Suroeste (promedio = 0.53 mS/cm; solo una estuvo por encima de normatividad colombiana: <0.8 mS/cm) presentaron mayores valores de la conductividad eléctrica que las mieles del Oriente (promedio = 0.48 mS/cm), lo cual posiblemente este asociado no solo al contenido de cenizas sino también al mayor contenido de acidez encontrado en ellas; pues la conductividad eléctrica en mieles revela no solo la presencia de iones y proteínas sino también la presencia deácidos orgánicos ( Yücel & Sultanoǧlu, 2013).…”

Section: Análisis Fisicoquímicounclassified

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Análisis Palinológico Y Fisicoquímico De Miel De Abejas (Apis Mellifera L.) Procedente Del Oriente Y Suroeste De Antioquia (Colombia)

Velásquez-Ruiz

Gil²,

Urrego³

et al. 2016

Rev. Fac. Cienc.

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Con el fin de determinar la calidad de la miel de Apis mellifera variedad scutellata, procedentes de las subregiones del Suroeste y Oriente Antioqueño, producidas durante los años 2013 y 2014, se realizó un estudio fIsicoquímico y palinológico de 18 muestras. El análisis fIsicoquímico reveló que todos los parámetros analizados se encontraban dentro de los valores establecidos por la normatividad Colombiana, con muy pocas excepciones. En general todas las mieles analizadas fueron de buena calidad y las variaciones en los parámetros analizados, fueron relacionadas con el origen botánico y geográfico de las mismas o errores en el proceso de manipulación. Desde el punto de vista palinológico se observó que la mayoría de mieles del Suroeste fueron uniflorales y las del oriente multiflorales; la riqueza total de polen de las muestras fue muy variable en ambas regiones, oscilando desde muy pobres a muy ricas. En oriente el taxón más común fue Asteraceae, seguido de Fabaceae, Solanaceae, Myrtaceae (principalmente Eucalyptus), Hypochaeris, Borreria y Hedyosmum y en el Suroeste fueron Coffea arabica y Cecropia agustifolia seguidos de Mimosa, Fabaceae, Cordia, Mangifera indica y Acalypha.

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Section: Análisis Fisicoquímicounclassified

Análisis Palinológico Y Fisicoquímico De Miel De Abejas (Apis Mellifera L.) Procedente Del Oriente Y Suroeste De Antioquia (Colombia)

Velásquez-Ruiz

Gil²,

Urrego³

et al. 2016

Rev. Fac. Cienc.

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“…For instance, a dark colour could be not only a sign of the botanical or geographical origin of a honey but also a sign of the storage conditions or a sign of heat treatment practised in the pure honey to inhibit or retard the crystallisation process or to block the development and growth of microorganisms (Gámbaro et al ., ; Vaikousi et al ., ). Similarly, 5‐Hydroxymethylfurfural (5‐HMF) content, formed by the decomposition of monosaccharides or the Maillard reaction, could be used as indicative of honey deterioration due to heating or storage for a long time in unfavourable conditions or as a sign of falsification by adding inverted syrup (Capuano & Fogliano, ; Yücel & Sultanoglu, ). However, this compound cannot be used alone to determine the severity of the heat treatment, because some other factors such as the sugar profile, presence of organic acids, pH, moisture content, water activity and floral source may affect its formation as well.…”

Section: Introductionmentioning

confidence: 99%

Real‐time quality authentication of honey using atmospheric pressure chemical ionisation mass spectrometry (APCI‐MS)

ElMasry

Morsy

Al-Rejaie

et al. 2019

Int J of Food Sci Tech

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Summary The aim of this study was to use gas chromatography‐mass spectrometry (GC‐MS) and APCI‐MS techniques to detect adulteration in honey. The key volatile compounds in the headspace of the adulterated honey were marked by GC‐MS and their representative fragment ions were utilised in scanning honey samples using the real‐time APCI‐MS system. The PLS models validated using independent data sets resulted in coefficient of the determination (Rp2) of 0.97 and 0.96 and root mean square error in prediction (RMSEP) of 2.62 and 2.45 for the GC‐MS and APCI‐MS data sets respectively. The most efficient volatiles from GC‐MS analysis and their corresponding fragment ions m/z from APCI‐MS data analysis were then identified and used to develop new PLS models to predict the level of adulteration. The best PLS model gave Rp2 of 0.95 and RMEP of 2.60% in the independent validation set indicating that the model was very accurate in predicting the level of adulteration.

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“…Chemometric methods (also known as multivariate statistical techniques) are being increasingly used, because they are capable of identifying a natural clustering pattern and group variables on the basis of similarities between the samples . These methods involve the use of mathematical models and statistical techniques to analyze and extract information from a data set . Application of chemometric methods helps to reduce the complexity of large data sets and offers better interpretation and understanding of these data sets .…”

Section: Introductionmentioning

confidence: 99%

“…These methods involve the use of mathematical models and statistical techniques to analyze and extract information from a data set . Application of chemometric methods helps to reduce the complexity of large data sets and offers better interpretation and understanding of these data sets . The most commonly used ones are principal component analysis (PCA) , cluster analysis and linear discriminant analysis (LDA) .…”

Section: Introductionmentioning

confidence: 99%

A chemometric approach: characterization of quality and authenticity of artisanal honeys from Argentina

Ríos

Sánchez

Lobo

et al. 2014

Journal of Chemometrics

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The demand of honey with defined quality has increased around the world; therefore, an adequate description of the traceability and authenticity of honeys is necessary. The pollen and physicochemical characteristics of 58 honey samples collected from five different environmental units (EUs) of the Jujuy province (Argentine) were determined, in order to differentiate them by geographical origin through the application of chemometric methods. A qualitative pollen analysis was performed by microscopy. The physicochemical characteristics were determined by Association of Official Analytical Chemists methods. Correspondence analysis (CA), principal component analysis (PCA) and linear discriminant analysis (LDA) were performed. Forty‐five per cent of honeys were monofloral; nearly half of them correspond to native species—among which, Salix humboldtiana, Baccharis sp. and Ziziphus mistol stood out. Physicochemical and microbiological analysis showed acceptable quality for honeys. CA characterized significantly honeys from four different EUs using all pollen data. While forward stepwise coupled to LDA identified 14 significant variables to build a discriminatory model with three significant discriminant functions, a cumulative variance of 94% was reached. Thus, 86% of the samples were correctly classified. PCA and LDA applied to physicochemical data allowed to distinguish three different groups with a significant function (p < 0.01) that explained 90% of the total variability. Honey corresponding to EU III Subandean Hills of Santa Bárbara was the most accurately classified by pollen and physicochemical data. The application of chemometric methods to pollen data and physicochemical parameters may be a useful tool to determine honey geographical origin. Copyright © 2014 John Wiley & Sons, Ltd.

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Characterization of honeys from Hatay Region by their physicochemical properties combined with chemometrics

Cited by 81 publications

References 19 publications

Análisis Palinológico Y Fisicoquímico De Miel De Abejas (Apis Mellifera L.) Procedente Del Oriente Y Suroeste De Antioquia (Colombia)

Análisis Palinológico Y Fisicoquímico De Miel De Abejas (Apis Mellifera L.) Procedente Del Oriente Y Suroeste De Antioquia (Colombia)

Real‐time quality authentication of honey using atmospheric pressure chemical ionisation mass spectrometry (APCI‐MS)

A chemometric approach: characterization of quality and authenticity of artisanal honeys from Argentina

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