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...
Saved in:
| Main Authors: | Anna Maria Kaczmarek, Małgorzata Muzolf-Panek, Jolanta Tomaszewska-Gras, Piotr Konieczny |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Animal Reproduction and Food Research of the Polish Academy of Sciences
2019-05-01
|
| Series: | Polish Journal of Food and Nutrition Sciences |
| Subjects: | |
| Online Access: | http://www.journalssystem.com/pjfns/Predicting-the-botanical-origin-of-honey-with-chemometric-analysis-according-to-their,108526,0,2.html |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Honey: Inorganic Composition as Possible Marker for Botanical and Geological Assignment
by: Paolo Inaudi, et al.
Published: (2025-03-01) -
Portable NIR Spectroscopy to Simultaneously Trace Honey Botanical and Geographical Origins and Detect Syrup Adulteration
by: Marco Caredda, et al.
Published: (2024-09-01) -
Investigation of Physicochemical Properties of Some Monofloral Honeys in South Western Anatolia
by: Sukru Karatas, et al.
Published: (2019-10-01) -
HS-SPME-GC-MS Analysis of the Volatile Composition of Italian Honey for Its Characterization and Authentication Using the Genetic Algorithm
by: Carlotta Breschi, et al.
Published: (2024-09-01) -
Unveiling the Mineral and Sugar Richness of Moroccan Honeys: A Study of Botanical Origins and Quality Indicators
by: Azzedine Abeslami, et al.
Published: (2025-01-01)