نوع مقاله : مقاله پژوهشی
نویسندگان
1 مرکز تحقیقات حلال جمهوری اسلامی ایران، سازمان غذا و دارو، وزارت بهداشت، درمان و آموزش پزشکی، تهران،
2 دپارتمان بهداشت و ایمنی مواد غذایی، دانشکده بهداشت، دانشگاه علوم پزشکی زنجان، زنجان، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
The aim of this study was to investigate the feasibility of rapid prediction of physicochemical properties in honey using Raman spectroscopy and chemometrics models. In this research, 51 honey samples were collected from different regions of Iran, and each sample was analyzed by Raman spectroscopy (in the range of 100–3500 cm⁻¹). The investigated properties included reducing sugars before hydrolysis, sucrose, moisture, and hydroxymethylfurfural (HMF), which were measured using standard laboratory methods. The spectral data, after mean-centering preprocessing, were correlated with the laboratory values of the physicochemical properties, and four independent models based on Partial Least Squares (PLS) regression were developed. The models were validated using the Kennard–Stone algorithm for splitting the data into calibration and test sets, cross-validation with the Leave-One-Out method to optimize the number of latent variables, and indices such as RMSEP, %REP, and RMSECV. The results showed that the predictive models for reducing sugars before hydrolysis and moisture performed excellently with low relative errors (1.64% and 5.30%, respectively). The sucrose model, with a relative error of about 11.95%, was acceptable, while the HMF model showed lower accuracy with a relative error of 25.8%. Overall, combining Raman spectroscopy with PLS models provides a rapid, non-destructive, cost-effective, and environmentally friendly approach for honey quality control, which can play a significant role in monitoring authenticity, distribution, and economic development of this product.
کلیدواژهها [English]
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