Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties
The aim of this study was to develop models based on Linear Discriminant Analysis (LDA), Classification and Regression Trees (C&RT), and Artificial Neural Network (ANN) for the prediction of the botanical origin of honeys using their physicochemical parameters as well as their antioxidative and...
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Institute of Animal Reproduction and Food Research of the Polish Academy of Sciences
2019-05-01
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| Series: | Polish Journal of Food and Nutrition Sciences |
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| Online Access: | http://www.journalssystem.com/pjfns/Predicting-the-botanical-origin-of-honey-with-chemometric-analysis-according-to-their,108526,0,2.html |
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| author | Anna Maria Kaczmarek Małgorzata Muzolf-Panek Jolanta Tomaszewska-Gras Piotr Konieczny |
| author_facet | Anna Maria Kaczmarek Małgorzata Muzolf-Panek Jolanta Tomaszewska-Gras Piotr Konieczny |
| author_sort | Anna Maria Kaczmarek |
| collection | DOAJ |
| description | The aim of this study was to develop models based on Linear Discriminant Analysis (LDA), Classification and Regression Trees (C&RT), and Artificial Neural Network (ANN) for the prediction of the botanical origin of honeys using their physicochemical parameters as well as their antioxidative and thermal properties. Also Principal Component Analysis (PCA) and Cluster Analysis (CA) were performed as initial steps of data mining. The datasets consisted of 72 honey samples (false acacia, rape, buckwheat, honeydew, linden, nectar-honeydew and multifloral) obtained from different regions of Poland and collected between April 2014 and November 2016. Ash content, pH, free acidity, colorimetric coordinates in the CIELAB space (L*, a*, b*, h*, C*), total phenolics content, antioxidant activity, and glass transition temperatures (Tg) of the honey samples were determined. The first four principal components accounted for about 85% of the total variance. PC1 was highly correlated with colour intensity, the hue angle (h*), and total phenolics content, whereas PC2 was dominated by chroma (C*) value and glass transition temperatures (Tg). The CA dendrogram displays two clusters: one with light coloured honey samples and second with dark coloured honey samples. On the basis of the LDA analysis, the colour parameters possessed the highest discrimination power according to the botanical origin of honey samples. The models based on ANN and C&RT algorithms were characterized by 100% accuracy. Study results demonstrate that the chemometric approach enables high-accuracy classification of honeys according to their botanical origin. |
| format | Article |
| id | doaj-art-9e32631ec1ee4e8fb19c8199a4d5a425 |
| institution | Kabale University |
| issn | 2083-6007 |
| language | English |
| publishDate | 2019-05-01 |
| publisher | Institute of Animal Reproduction and Food Research of the Polish Academy of Sciences |
| record_format | Article |
| series | Polish Journal of Food and Nutrition Sciences |
| spelling | doaj-art-9e32631ec1ee4e8fb19c8199a4d5a4252025-02-02T07:32:37ZengInstitute of Animal Reproduction and Food Research of the Polish Academy of SciencesPolish Journal of Food and Nutrition Sciences2083-60072019-05-0169219120110.31883/pjfns/108526108526Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical PropertiesAnna Maria Kaczmarek0Małgorzata Muzolf-Panek1Jolanta Tomaszewska-Gras2Piotr Konieczny3Department of Food Quality and Safety Management, Faculty of Food Science and Nutrition, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 PolandDepartment of Food Quality and Safety Management, Faculty of Food Science and Nutrition, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 PolandDepartment of Food Quality and Safety Management, Faculty of Food Science and Nutrition, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 PolandDepartment of Food Quality and Safety Management, Faculty of Food Science and Nutrition, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 PolandThe aim of this study was to develop models based on Linear Discriminant Analysis (LDA), Classification and Regression Trees (C&RT), and Artificial Neural Network (ANN) for the prediction of the botanical origin of honeys using their physicochemical parameters as well as their antioxidative and thermal properties. Also Principal Component Analysis (PCA) and Cluster Analysis (CA) were performed as initial steps of data mining. The datasets consisted of 72 honey samples (false acacia, rape, buckwheat, honeydew, linden, nectar-honeydew and multifloral) obtained from different regions of Poland and collected between April 2014 and November 2016. Ash content, pH, free acidity, colorimetric coordinates in the CIELAB space (L*, a*, b*, h*, C*), total phenolics content, antioxidant activity, and glass transition temperatures (Tg) of the honey samples were determined. The first four principal components accounted for about 85% of the total variance. PC1 was highly correlated with colour intensity, the hue angle (h*), and total phenolics content, whereas PC2 was dominated by chroma (C*) value and glass transition temperatures (Tg). The CA dendrogram displays two clusters: one with light coloured honey samples and second with dark coloured honey samples. On the basis of the LDA analysis, the colour parameters possessed the highest discrimination power according to the botanical origin of honey samples. The models based on ANN and C&RT algorithms were characterized by 100% accuracy. Study results demonstrate that the chemometric approach enables high-accuracy classification of honeys according to their botanical origin.http://www.journalssystem.com/pjfns/Predicting-the-botanical-origin-of-honey-with-chemometric-analysis-according-to-their,108526,0,2.htmlhoneybotanical originphysicochemical analyses |
| spellingShingle | Anna Maria Kaczmarek Małgorzata Muzolf-Panek Jolanta Tomaszewska-Gras Piotr Konieczny Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties Polish Journal of Food and Nutrition Sciences honey botanical origin physicochemical analyses |
| title | Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties |
| title_full | Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties |
| title_fullStr | Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties |
| title_full_unstemmed | Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties |
| title_short | Predicting the Botanical Origin of Honeys with Chemometric Analysis According to Their Antioxidant and Physicochemical Properties |
| title_sort | predicting the botanical origin of honeys with chemometric analysis according to their antioxidant and physicochemical properties |
| topic | honey botanical origin physicochemical analyses |
| url | http://www.journalssystem.com/pjfns/Predicting-the-botanical-origin-of-honey-with-chemometric-analysis-according-to-their,108526,0,2.html |
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