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Fast HPLC-DAD quantification of nine polyphenols in honey by using second-order calibration method based on trilinear
Xiao-Hua Zhang1, Hai-Long Wu, Jian-Yao Wang
1State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
Food Chemistry
|December 26, 2012
Summary
This study introduces a new HPLC-DAD method using second-order calibration to quantify polyphenols in honey. The advanced method accurately identifies honey types by analyzing polyphenol content, offering a rapid and reliable approach.
Area of Science:
- Analytical Chemistry
- Food Chemistry
- Spectroscopy
Background:
- Polyphenols are key compounds in honey, influencing its quality and origin.
- Accurate quantification of polyphenols is essential for honey authentication.
- Traditional methods for polyphenol analysis in honey can be complex and time-consuming.
Purpose of the Study:
- To develop and validate a rapid and accurate High-Performance Liquid Chromatography-Diode Array Detection (HPLC-DAD) method for quantifying nine polyphenols in honey.
- To simplify sample preparation procedures for honey analysis.
- To utilize second-order calibration and alternating trilinear decomposition (ATLD) to overcome challenges like baseline drift and accurately distinguish honey types.
Main Methods:
- Development of an HPLC-DAD method incorporating second-order calibration.
- Application of alternating trilinear decomposition (ATLD) to analyze complex honey samples.
- Simplification of traditional sample treatment protocols.
- Mathematical modeling to account for baseline drift during analysis.
Main Results:
- The developed method achieved excellent linearity (r > 0.99) and accuracy.
- Rapid analysis time was achieved (t < 7.60 min).
- The ATLD method successfully differentiated between five types of honey based on their polyphenol profiles.
- Baseline drift was effectively managed within the mathematical model.
Conclusions:
- The novel HPLC-DAD method with second-order calibration and ATLD is a highly effective strategy for polyphenol identification and quantification in complex matrices like honey.
- The method offers a promising solution for routine honey analysis, authentication, and quality control.
- Simplified sample preparation enhances the practicality of the method for widespread adoption.