Abstract
A modular least-squares method is used for multivariate calibration in order to determine the parameters of a suspension of dispersed particles from small-angle light scattering spectra. Prior to using this method, transfer to new variables is accomplished using a discrete Fourier transformation. The mean square error for predicting the size of particles and their polydispersion using this method does not exceed 30%.
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References
A. D. Levin, Izmer. Tekh., No. 1, 57 (2006).
K. Asbensen, Analysis of Multidimensional Data [Russian translation], Barnaul (2003).
L. A. Gribov, V. I. Baranov, and M. E. Élyashberg, Standardless Molecular Spectral Analysis. Theoretical Bases [in Russian], Éditorial URSS, Moscow (2002).
A. Yu. Menshikova et al., Polymer, 46, No. 4, 1417 (2005).
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Translated from Izmeritel’naya Tekhnika, No. 9, pp. 34–36, September, 2006.
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Levin, A.D. Model of multivariate calibration in order to determine parameters of dispersed particles from small-angle scattering spectra. Meas Tech 49, 894–898 (2006). https://doi.org/10.1007/s11018-006-0208-3
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DOI: https://doi.org/10.1007/s11018-006-0208-3