2007
DOI: 10.1007/s00217-007-0759-9
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Determination of the botanical origin of honey by Fourier-transformed infrared spectroscopy: an approach for routine analysis

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Cited by 52 publications
(23 citation statements)
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“…Chemometric techniques appear to be the most powerful tools for characterizing and classifying honeys by geographical and botanical source. In this way, linear discriminant analysis (LDA) and principal component analysis are commonly employed to distinguish between honeys from different botanical sources (Mateo and Bosch 1998; Terrab and others 2002; Terrab and others 2003; Devillers and others 2004; Marini and others 2004; Soria and others 2004; Terrab and others 2004; González‐Miret and others 2005; Nozal and others 2005; Consonni and Cagliani 2008; Etzold and Lichtenberg 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Chemometric techniques appear to be the most powerful tools for characterizing and classifying honeys by geographical and botanical source. In this way, linear discriminant analysis (LDA) and principal component analysis are commonly employed to distinguish between honeys from different botanical sources (Mateo and Bosch 1998; Terrab and others 2002; Terrab and others 2003; Devillers and others 2004; Marini and others 2004; Soria and others 2004; Terrab and others 2004; González‐Miret and others 2005; Nozal and others 2005; Consonni and Cagliani 2008; Etzold and Lichtenberg 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Among phytochemicals, volatile organic compounds have been proposed as the key markers for differentiating honeys from different geographical origins . Most of the honey samples from rape, false acacia, heather and honeydew, which possess different physical‐chemical and sensorial properties, can be classified correctly by FTIR . NMR approaches have proven successful for the development of classification models specific for different types of polyfloral and unifloral honey samples .…”
Section: Authentication and Adulteration By Food Categorymentioning
confidence: 99%
“…159 Most of the honey samples from rape, false acacia, heather and honeydew, which possess different physical-chemical and sensorial properties, can be classified correctly by FTIR. 160 NMR approaches have proven successful for the development of classification models specific for different types of polyfloral and unifloral honey samples. 161 The high accuracy obtained by the classification models (>91%) suggests that metabolomic tools can be used to discriminate the origin of honey samples.…”
Section: Sweetenersmentioning
confidence: 99%
“…El desarrollo de un método rápido y no destructivo para evaluar los niveles de pureza en las muestras de sílice biogénico antes de la geoquímica / análisis de los isótopos es un objetivo importante, hoy en día, en la mejora de la calidad y la utilización de datos en la investigación ambiental y paleoclimática (tabla 1) [41][42][43][44][45][46]. …”
Section: Impacto En Ciencias Biomédicas Y Otras Aplicacionesunclassified