Abstract
In this study, Fourier transform near-infrared (FT-NIR) and infrared (FT-IR) spectroscopy was employed to detect the level of adulteration of Arenga pinnata sugar (AS) with coconut sugar (CS). Various concentrations of CS ranging from 0 to 100% were added to AS, and the absorbance spectra of the resulting mixtures were measured by FT-NIR and FT-IR. The spectra were pre-processed via the normalization, standard normal variate, multiplicative scatter correction, and baseline methods and then analyzed using partial least-squares regression. The best models were obtained by applying the multiplicative scatter correction method to the FT-NIR spectra and the normalization method to the FT-IR spectra. Overall, the FT-IR spectra yielded higher determination coefficients and lower error values compared with the FT-NIR spectra. The results confirm the potential use of FT-IR spectroscopy for detecting CS adulteration in AS.
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Great appreciation is delivered to Faculty of Agricultural Technology Universitas Gadjah Mada for financial support under Hibah Penelitian Inovatif 2019.
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Rudiati Evi Masithoh was involved in conceptualization, analysis, writing—reviewing and editing; Ferini Roosmayanti, Kunti Rismiwindira, Muhammad Fahri Reza Pahlawan helped in spectra measurement, data analysis.
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Masithoh, R.E., Roosmayanti, F., Rismiwandira, K. et al. Detection of Palm Sugar Adulteration by Fourier Transform Near-Infrared (FT-NIR) and Fourier Transform Infrared (FT-IR) Spectroscopy. Sugar Tech 24, 920–929 (2022). https://doi.org/10.1007/s12355-021-01058-3
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DOI: https://doi.org/10.1007/s12355-021-01058-3