4.7 Article

Evaluating the Presence and Contents of Phytochemicals in Honey Samples: Phenolic Compounds as Indicators to Identify Their Botanical Origin

期刊

FOODS
卷 10, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/foods10112616

关键词

honey; polyphenols; phenolic profile; total phenolic content; antioxidant activity; liquid chromatography; tandem mass spectrometry; principal components analysis

资金

  1. Xunta de Galicia [GO FEADER 2018/054B, IN607B 2019/13, ED431 2020/06]
  2. Ministry of Science, Innovation and Universities, Spain [RED2018-102522-T]
  3. Division of Analytical Chemistry of the European Chemical Society
  4. FEDER (EU)

向作者/读者索取更多资源

The study aimed to develop a miniaturized and environmentally friendly method to obtain the phenolic profile of Galician honeys, and evaluate their total phenolic content and antioxidant activity. Liquid chromatography-tandem mass spectrometry was used to quantify 41 target phenolic compounds, allowing for classification of different honeys based on their botanical origin.
Honey is a natural product well known for its beneficial properties. It contains phytochemicals, a wide class of nutraceuticals found in plants, including compounds with highly demonstrated antimicrobial and antioxidant capacities as phenolic compounds and flavonoids. The main goal of this work is the development of a miniaturized and environmentally friendly methodology to obtain the phenolic profile of Galician honeys (Northwest Spain) from different varieties such as honeydew, chestnut, eucalyptus, heather, blackberry and multi-floral. The total phenolic content (TPC) and antioxidant activity (AA) were also evaluated. As regards sample preparation, miniaturized vortex (VE) and ultrasound assisted extraction (UAE) employing aqueous-based solvents were performed. Individual quantification of 41 target phenolic compounds was carried out by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Results revealed the presence of 25 phenolic compounds in the 91 analyzed samples, reaching concentrations up to 252 mu g g(-1). Statistical tools such as analysis of variance (ANOVA) and principal component analysis (PCA) were employed to obtain models that allowed classifying the different honeys according to their botanical origin. Obtained results, based on TPC, AA and n-ary sumation phenolic compounds showed that significant differences appeared depending on the honey variety, being several of the identified phenol compounds being responsible of the main differentiation.

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