Novel Quality Control Methods in Conjunction with Chemometrics (Multivariate Analysis) for Detecting Honey Authenticity

The importance of honey has been recently upgraded because of its nutrient and therapeutic effect. The adulteration of honey increased exponentially in terms of both geographic and/or botanical origin. Therefore, the need has arisen for more effective quality control methods aiming at detecting adul...

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Bibliographic Details
Published in:Critical reviews in food science and nutrition 2005-04, Vol.45 (3), p.193-203
Main Authors: Arvanitoyannis, I. S., Chalhoub, C., Gotsiou, P., Lydakis-Simantiris, N., Kefalas, P.
Format: Article
Language:English
Subjects:
adulteration
Amino Acids - analysis
Analysis of Variance
Biological and medical sciences
Carbohydrates - analysis
Chemical Phenomena
Chemistry, Physical
chemometrics
Confectionery products and chocolate industries, honey
Food Contamination - analysis
Food industries
Fundamental and applied biological sciences. Psychology
General aspects
honey
Honey - analysis
Honey - classification
HPLC
Methods of analysis, processing and quality control, regulation, standards
Minerals - analysis
multivariate analysis
NIR
NMR
novel detection methods
Pollen - chemistry
Proteins - analysis
Quality Control
Trace Elements - analysis
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Summary:The importance of honey has been recently upgraded because of its nutrient and therapeutic effect. The adulteration of honey increased exponentially in terms of both geographic and/or botanical origin. Therefore, the need has arisen for more effective quality control methods aiming at detecting adulteration. Various novel, fast, and accurate methods like AAS, HPLC, GC-MS, ES-MS, TLC, HPAED-PAD, NMR, FT-Raman, and NIR have enriched the arsenal of analytical chemist in this direction. However, apart from these novel methods, the application of multivariate analysis and, in particular, PCA, CLA, and CA, proved to be extremely useful for grouping and detecting honey of various origins. Mineral and trace element analysis were repeatedly shown to be a very effective means for the classification purposes of honey of various origins (geographical and botanical).
ISSN:1040-8398
1549-7852
DOI:10.1080/10408690590956369