Classification and identification of Vietnamese honey using chemometrics based on 1H-NMR data

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The Anh Nguyen Truong Giang Vu Thi Lan Nguyen Quang Trung Pham Thi Thao Ta

Abstract

Honey is a natural, sweet, and syrupy fluid which has been used in Vietnam in a variety of ways; as a food supplement, beauty product, and natural drug. However, quality control and characterization of honey are blind problems. Consumers, and even market management committees, must believe in the producer’s quality standards without using any special techniques to evaluate the botanical origins of honey in the Vietnamese market. The chemical composition and physical properties of natural honey vary per plant species of which the honey bees scrounged. Longan flower-honey has a high price and is commercially produced in Yen Bai, Bac Giang, and the more well-known Hung Yen Province in Vietnam, and now is being confused with original flower honey. In this work, a total of 57 honey samples (longan and non-longan) from different geographic and botanical origins have been analysed in terms of 1H-NMR spectroscopy, coupled also with multivariate statistical analysis methods. Principal component analysis followed by icoshift algorithm analysis comes about as a proficient device in recognising 1H-NMR spectra of longan honey samples.

Article Details

How to Cite
NGUYEN, The Anh et al. Classification and identification of Vietnamese honey using chemometrics based on 1H-NMR data. Vietnam Journal of Science, Technology and Engineering, [S.l.], v. 59, n. 2, p. 14-21, june 2017. ISSN 2525-2461. Available at: <http://vietnamscience.vn/index.php/vistech/article/view/36>. Date accessed: 22 oct. 2017.
Section
PHYSICAL SCIENCES