Article

# Quantitative Determination of Sugar Cane Sucrose by Multidimensional Statistical Analysis of their Mid-Infrared Attenuated Total Reflectance Spectra*

Applied Spectroscopy (Impact Factor: 1.94). 01/1991; 45(2):166-172. DOI: 10.1366/0003702914337470

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**ABSTRACT:**An instrumental method based on a chemometric model of the medium region of the infrared (MIR) was developed to analyse total sugar content and the proportions of glucose, fructose and sucrose. In order to construct the model, a set of 127 standard aqueous solutions of different sugars in the concentration range 0-20% (w/v) were prepared and analysed in the interval 4900-700 cm(-1). The MIR was transformed by normalisation, correction of baseline using the second derivative, and suppression of the signals of water and carbon dioxide. The region between 1150 and 950 cm(-1) showed the highest correlation between signal and concentration. The correlation coefficient for total sugar content was 0.956, whilst those for glucose, fructose and sucrose were 0.982, 0.972 and 0.992, respectively. The method was validated using a set of 28 samples of nectar which had been assayed by chromatographic and refractometric methods. The method shows potential utility for the prediction of nectar sugar components.Phytochemical Analysis 01/2003; 14(5):319-24. · 2.48 Impact Factor - [Show abstract] [Hide abstract]

**ABSTRACT:**Determination of “Pol” value in sugar cane and sugar beet products are important task for the sugarcane and beet industries. Polarimetry is one of the most popular method used for the determination of Pol value but the technique is time consuming and prone to underestimation. A rapid method for accurate determination of Pol value in sugar cane juice by Fourier Transform Infrared (FTIR) spectroscopy is proposed. Sugarcane juice samples were collected from the sugarcane industry during the season and the samples were scanned in the mid-infrared region between 400- 4000 cm-1 and simultaneously analyzed by polarimetric method to obtain the reference Pol value for FTIR analysis. Using Partial Least Square (PLS) analysis the developed calibration model was able to predict the pol content in unknown raw sugarcane juice samples statisfactorily (R2 = 0.998). The present investigation demonstrates the feasibility of the FTIR as a potential method for rapid and cost effective assessment of pol control in raw sugarcane juice.Sugar Tech 01/2003; 5(3):143-148. · 0.50 Impact Factor - [Show abstract] [Hide abstract]

**ABSTRACT:**The Fourier transform infrared (FT–IR) spectra of palm oil samples, in the range between 3025 and 2992 cm−1, were used to compare different multivariate calibration techniques for quantitative iodine value (IV) determination. Forty-two spectra of palm oil with IV ranging between 53 and 65 were used to create calibration models based on partial least squares (PLS) and principle component regression (PCR) methods using different baseline types. The methods were compared with respect to the number of factors, coefficient of determination (R2) and accuracy of estimation. The standard error of prediction (SEP) ratios were calculated to compare the prediction capabilities of these calibration methods. The calibration models generated the number of factors from 3 to 7, R2 of 0.94443 to 0.98853, standard error of estimation (SEE) of 0.32 to 0.69 and SEP ratios of 1.43 to 13.48.Food Chemistry 01/1999; 67(2):193-198. · 3.33 Impact Factor

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