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

Applied Spectroscopy (Impact Factor: 1.88). 02/1991; 45(2):166-172. DOI: 10.1366/0003702914337470


A fast and accurate method for determining the sucrose content of sugar cane juice has been developed. The application of principal component regression (PCR) has been proposed for the development of a prediction equation of sucrose content by mid-infrared spectroscopy. An attenuated total reflectance (ÀTR) cell is used in place of the more familiar hans-mission cell. PCR involves two steps: (1) the creation of new synthetic variables by principal component analysis (PCA) of spectral data, and (2) multiple linear regression (MLR) with these new variables. Results obtained by this procedure have been compared with those obtained by the conventional application of polarization.

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    • "In particular techniques have had an impact on spectroscopy (Geladi, 2003). Using these resources, methods of development of food products and food analysis are generally simplified, such as control and monitoring processes (Catet et al., 1990; Robert, Bertrand, Devaux, & Grappin, 1987), food classification (Herranz, De La Serna, & Barro, 1990), detection of the adulteration of fruit pulp, honey and oils (Irudayaraj, Xu, & Tewari, 2003; Ozen, Weiss, & Mauer, 2003; Tay, Singh, Khrisnan, & Gore, 2002), sensory evaluation (Dever & Cliff, 1995; Gerbi, Zeppa, Antonelli, & Carnacini, 1997; Hough et al., 1996; Kjolstad, Isaksson, & Rosenfeld, 1990), determination of food fraud (Briandet, Kemsley, & Wilson, 1996) amongst other applications . Thus, chemometrics is effectively combined with multivariate analyses such as principal component analysis (PCA), discriminant analysis (DA) analysis and partial least squares (PLS), which provide the possibility of extracting resource spectra for investigating the spectral properties of samples (Lu, Yuan, Xu, & Qiang, 2000). "
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