Spectroscopy and chemometric-based method for sugar profiling in high-fructose syrup
• ATR-FTIR spectroscopy combined with chemometrics enables rapid sugar profiling in HFS. • The HFS-Cal method with PCR offers superior prediction accuracy for sugar content. • The developed method accurately quantifies fructose, glucose, and sucrose in HFS. • Non-linear SVM models, particularly polynomial 3, enhance predictive performance. • Validated ATR-FTIR method is a viable alternative to HPLC for sugar analysis. High-fructose syrup (HFS) is widely used as an alternative sweetener in the food and beverage industries. Due to its high cost, it is often susceptible to adulteration with cheaper ingredients such as sucrose, making the accurate determination of fructose, glucose, and sucrose concentrations critical. This study developed a method for the simultaneous determination of these sugars in HFS using ATR-FTIR spectroscopy combined with chemometrics. Two calibration approaches were compared: (1) the STD-Cal method, which utilized a calibration set prepared from standard sugar mixtures, and (2) the HFS-Cal method, which used a calibration set derived from HFS samples. Each approach was evaluated using principal component regression (PCR), partial least squares (PLS), and support vector machine-regression (SVR). The HFS-Cal method, when combined with PCR, yielded excellent predictive accuracy with low RMSEC values (fructose: 0.014; glucose: 0.009; sucrose: 0.004) and RMSEP values (fructose: 0.071; glucose: 0.041; sucrose: 0.002), along with high coefficients of determination (R² values between 0.9200 and 0.9996). Statistical analysis using the t -test confirmed that the sugar concentrations determined by this method were consistent with those obtained from the reference method (HPLC-RID). The developed method provides a rapid and reliable alternative for the determination of fructose, glucose, and sucrose concentrations in HFS, making it suitable for routine surveillance and quality control purposes.
Authors
- Widiastuti Setyaningsih (ORCID: https://orcid.org/0000-0002-4316-8888)
- Miguel Palma (ORCID: https://orcid.org/0000-0001-8509-4226)
- Dita Ayu Erinawati
Institutions
- Universitas Gadjah Mada (ID)
- Universidad de Cádiz (ES)
- Ministry of Finance (GR)
Publication Details
- Journal
- Applied Food Research
- Published
- 2025-04-06
- DOI
- https://doi.org/10.1016/j.afres.2025.100872
- Citations
- 4
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 3.01