ArticleFood chemistry: X2025
Honey adulteration detection using the HS-SPME-IMS technique combined with chemometric analysis.
Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Flavonoid constituents contribute to the low diastase activity ofFood chemistry: X · 2026Article
- HS-SPME-GC-MS Coupled with Chemometrics for Detecting HFCS and Invert Sugar Adulteration in Coriander Honey.Foods (Basel, Switzerland) · 2026Article
- Commonly Used Analytical Tools and Methods for the Discrimination of Honey Types Based on Volatile Organic Compound Profiles.Molecules (Basel, Switzerland) · 2026Review
- Honey Botanical Origin Authentication Using HS-SPME-GC-MS Volatile Profiling and Advanced Machine Learning Models (Random Forest, XGBoost, and Neural Network).Foods (Basel, Switzerland) · 2026Article
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Authors and funding
4 authors.
Funding
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Abstract
Honey, a valued natural sweetener with nutritional and therapeutic benefits, is often subject to adulteration, compromising its authenticity. This study introduces a novel method combining headspace solid-phase microextraction (HS-SPME), ion mobility spectrometry (IMS), and chemometric analysis to detect honey adulteration. Authentic coriander honey was mixed with invert sugar and high fructose corn syrup (HFCS) at 5-50% concentrations, alongside sugar-fed honey, simulating direct and indirect adulteration. Volatile compounds were extracted via HS-SPME and analyzed using IMS, with data processed through Principal Component Aanalysis (PCA), Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), and Decision Tree (DT) models. PCA revealed clear clustering while SVM achieved the highest accuracy (99 %), followed by DT (98 %) and LDA (97 %). This rapid, sensitive, and cost-effective method effectively addresses the drawbacks of traditional approaches, facilitating precise discrimination between authentic and adulterated honey, and thus significantly advancing honey authentication and quality control in the food industry.
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