Abstract
Non-invasive near infrared spectroscopy (NIR) in transmittance mode between 1100–2500 nm was employed for the quantitative estimation of dextran, starch, gum and pectin in final molasses one at a time. Partial least square regression analyses was used to develop a calibration model with 40 samples each in 0th, 1st and 2nd derivatives which gave low SEC values. This method was applied for the estimation of unknown concentrations of the four polysaccharides in molasses, which gave low prediction error in the 0th derivative explaining the accuracy of the results with correlation coefficient of 0.98. Stepwise multi linear regression has also been applied and wavelengths have been identified specific to the polysaccharides and a correlation has been tried on the basis of the structure of the polysaccharides. The above results lead to the most promising future use of NIR spectroscopy as on-line processing tool in sugar industry.
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Kaur, S., Kaler, R.S.S. Quantitative estimation of polysaccharides in molasses using Near Infra Red spectroscopy. Sugar Tech 10, 265–268 (2008). https://doi.org/10.1007/s12355-008-0047-4
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DOI: https://doi.org/10.1007/s12355-008-0047-4