3D fluorescence spectral data interpolation by using IDW

Because measured precision of some spectral instruments such as fluorescence spectrometer HITACHI F-4500 cannot reach the requirement of spectral analytical technique, and measured data is finite, which causes some three-dimensional (3D) fluorescence spectral data missed. The fact of missing data can result in errors in interpretations of 3D fluorescence spectral data. This paper takes ethanol solution (volume percentage phi(beta) = 0.400) 3D fluorescence spectral data for example, applies inverse distance weighting (IDW) to 3D fluorescence spectral data interpolation. The results prove that the more details of 3D fluorescence spectra are expressed well by using IDW in contrast to that of original 3D fluorescence spectra. To evaluate the effectiveness of interpolation by using IDW, this paper compares standard deviation, coefficient of variation. and the mean, median, maximum and minimum values of original ethanol solution (phi(beta) = 0.400) 3D fluorescence spectral data and that of the interpolated. whose results suggest that the interpolation of the 3D fluorescence spectra data by using IDW is exact. (C) 2008 Elsevier B.V. All rights reserved.