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2019 | 69 | 2 |

Tytuł artykułu

Nutritional quality, potential health promoting properties and sensory perception of an improved gluten-free bread formulation containing inulin, rice protein and bioactive compounds extracted from coffee byproducts

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
The aim of this study was to develop models based on Linear Discriminant Analysis (LDA), Classi cation and Regression Trees (C&RT), and Arti cial 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 multi oral) 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 (T g ) of the honey samples were determined. The rst 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 classi cation of honeys according to their botanical origin.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

69

Numer

2

Opis fizyczny

p.157-166,fig.,ref.

Twórcy

  • Department of Agricultural, Forest and Food Sciences (DiSAFA), University of Turin, Grugliasco, Torino,10095, Italy
  • Department of Food Analysis and Bioactivity, Institute of Food Science Research (CIAL, CSIC-UAM), C/ Nicolas Cabrera 9, Campus de la Universidad Autonoma de Madrid, Madrid 28049, Spain
autor
  • Department of Agricultural, Forest and Food Sciences (DiSAFA), University of Turin, Grugliasco, Torino,10095, Italy
  • Department of Food Analysis and Bioactivity, Institute of Food Science Research (CIAL, CSIC-UAM), C/ Nicolas Cabrera 9, Campus de la Universidad Autonoma de Madrid, Madrid 28049, Spain

Bibliografia

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Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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