Measurement of sugar content by multidimensional analysis and mid-infrared spectroscopy

The advent of more and more powerful micro-computers has allowed the introduction of multidimensional analysis in research laboratories. Complex mathematical treatments are now possible within a few seconds. Prediction equations that linked sucrose, fructose, glucose, total sugars and reducing sugars concentrations to the spectral data, were established by regression on the principal components. Very high correlation coefficient values between the first ten axes and the chemical values were obtained. The bias and standard deviation (S.D.) values obtained between reference and predicted values were good. From such aqueous biological samples containing a ternary mixture of sucrose, fructose and glucose it was possible to (i) identify the characteristic IR bands of these different sugars (and their combination: reducing sugars, total sugars)-using spectral pattern; and (ii) to specifically measure their concentrations with good accuracy. (C) 1999 Elsevier Science B.V. All rights reserved.