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Advisor(s)
Abstract(s)
Ensuring the quality of honey is vital for consumer safety, product authenticity, and maintaining its
market value. Given honey's economic importance, developing a rapid and cost-effective method to
certify its quality is essential. Fourier-transform infrared spectroscopy with Attenuated Total
Reflection (FTIR-ATR) and FT-RAMAN techniques have been extensively used in food analysis,
particularly for honey. This study aims to compare the effectiveness of these two techniques in the
quality control of honey.
Calibration models were performed using Partial Least Squares Regression models for the
parameters of total acidity, reducing sugars, hydroxymethylfurfural (HMF), electrical conductivity,
ash content, proline content, diastase index, total flavonoids and phenolic compounds content.
The calibration models for each parameter demonstrated determination coefficients greater than
0.965 for FTIR-ATR and greater than 0.983 for FT-RAMAN. The residual prediction deviation
(RPD) values were higher than 5.5 for FTIR-ATR and higher than 7.6 for FT-RAMAN. Although
both techniques provided excellent results, it can be concluded that FT-RAMAN is a more accurate
technique compared to FTIR-ATR for the evaluation of the physicochemical characteristics of
honey.
Description
Keywords
FT-Raman quality control chemical composition honey FTIR-ATR