Detection of Sugar Syrups in Honey Using Untargeted Liquid Chromatography-Mass Spectrometry and Chemometrics

被引:0
|
作者
Hansen, Jule [1 ]
Kunert, Christof [2 ]
Raezke, Kurt-Peter [2 ]
Seifert, Stephan [1 ]
机构
[1] Univ Hamburg, Inst Food Chem, Hamburg Sch Food Sci, Grindelallee 117, D-20146 Hamburg, Germany
[2] Eurofins Food Integr Control Serv GmbH, Berliner Str 2, D-27721 Ritterhude, Germany
关键词
syrup adulteration; honey; routine analysis; untargeted LC-MS; machine learning; random forest; classification; regression; ECONOMICALLY MOTIVATED ADULTERATION; FOOD; METABOLOMICS; AUTHENTICITY; DISCRIMINATION; ALIGNMENT; QUALITY; FRAUD;
D O I
10.3390/metabo14110633
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background: Honey is one of the most adulterated foods worldwide, and several analytical methods have been developed over the last decade to detect syrup additions to honey. These include approaches based on stable isotopes and the specific detection of individual marker compounds or foreign enzymes. Proton nuclear magnetic resonance (1H-NMR) spectroscopy is applied as a rapid and comprehensive screening method, which also enables the detection of quality parameters and the analysis of the geographical and botanical origin. However, especially for the detection of foreign sugars, 1H-NMR has insufficient sensitivity. Methods: Since untargeted liquid chromatography-mass spectrometry (LC-MS) is more sensitive, we used this approach for the detection of positive and negative ions in combination with a recently developed data processing workflow for routine laboratories based on bucketing and random forest for the detection of rice, beet and high-fructose corn syrup in honey. Results: We show that the distinction between pure and adulterated honey is possible for all three syrups, with classification accuracies ranging from 98 to 100%, while the accuracy of the syrup content estimation depends on the respective syrup. For rice and beet syrup, the deviations from the true proportion were in the single-digit percentage range, while for high-fructose corn syrup they were much higher, in some cases exceeding 20%. Conclusions: The approach presented here is very promising for the robust and sensitive detection of syrup in honey applied in routine laboratories.
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页数:12
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