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Classification of Polish Natural Bee Honeys Based on Their Chemical Composition.
Pacholczyk-Sienicka, Barbara; Ciepielowski, Grzegorz; Modranka, Jakub; Bartosik, Tomasz; Albrecht, Lukasz.
  • Pacholczyk-Sienicka B; Institute of Organic Chemistry, Faculty of Chemistry, Lodz University of Technology, Zeromskiego 116, 90-924 Lodz, Poland.
  • Ciepielowski G; Institute of Organic Chemistry, Faculty of Chemistry, Lodz University of Technology, Zeromskiego 116, 90-924 Lodz, Poland.
  • Modranka J; Institute of Organic Chemistry, Faculty of Chemistry, Lodz University of Technology, Zeromskiego 116, 90-924 Lodz, Poland.
  • Bartosik T; Institute of Organic Chemistry, Faculty of Chemistry, Lodz University of Technology, Zeromskiego 116, 90-924 Lodz, Poland.
  • Albrecht L; Institute of Organic Chemistry, Faculty of Chemistry, Lodz University of Technology, Zeromskiego 116, 90-924 Lodz, Poland.
Molecules ; 27(15)2022 Jul 28.
Article in English | MEDLINE | ID: covidwho-1994116
ABSTRACT
The targeted quantitative NMR (qNMR) approach is a powerful analytical tool, which can be applied to classify and/or determine the authenticity of honey samples. In our study, this technique was used to determine the chemical profiles of different types of Polish honey samples, featured by variable contents of main sugars, free amino acids, and 5-(hydroxymethyl)furfural. One-way analysis of variance (ANOVA) was performed on concentrations of selected compounds to determine significant differences in their levels between all types of honey. For pattern recognition, principal component analysis (PCA) was conducted and good separations between all honey samples were obtained. The results of present studies allow the differentiation of honey samples based on the content of sucrose, glucose, and fructose, as well as amino acids such as tyrosine, phenylalanine, proline, and alanine. Our results indicated that the combination of qNMR with chemometric analysis may serve as a supplementary tool in specifying honeys.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Honey Limits: Animals Country/Region as subject: Europa Language: English Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Molecules27154844

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Honey Limits: Animals Country/Region as subject: Europa Language: English Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: Molecules27154844