TY - JOUR
T1 - Effect of data preprocessing methods in near-infrared diffuse reflectance spectroscopy for the determination of the active compound in a pharmaceutical preparation
AU - Blanco, M.
AU - Coello, J.
AU - Iturriaga, H.
AU - Maspoch, S.
AU - De La Pezuela, C.
PY - 1997/1/1
Y1 - 1997/1/1
N2 - Near-infrared diffuse reflectance spectroscopy (NIRS) with a fiber-optic probe was used for the determination of the active compound in a commercial pharmaceutical preparation. In order to reduce the strong scatter in the spectra and prevent scatter-induced changes in measurements from prevailing over concentration-induced changes, several data preprocessing methods were tested: normalization, derivatives, multiplicative scatter correction, standard normal variate, and detrending. The effectiveness for reducing the scattering of each data preprocessing was assessed, and the best results were obtained with the use of the second derivative. The effect of the treatments on the quantitation of the active compound by partial least-squares regression (PLSR) was studied, similar results being obtained in all cases, with a relative standard error of prediction lower than 1.55%.
AB - Near-infrared diffuse reflectance spectroscopy (NIRS) with a fiber-optic probe was used for the determination of the active compound in a commercial pharmaceutical preparation. In order to reduce the strong scatter in the spectra and prevent scatter-induced changes in measurements from prevailing over concentration-induced changes, several data preprocessing methods were tested: normalization, derivatives, multiplicative scatter correction, standard normal variate, and detrending. The effectiveness for reducing the scattering of each data preprocessing was assessed, and the best results were obtained with the use of the second derivative. The effect of the treatments on the quantitation of the active compound by partial least-squares regression (PLSR) was studied, similar results being obtained in all cases, with a relative standard error of prediction lower than 1.55%.
KW - Data preprocessing
KW - Near-infrared spectroscopy
KW - Partial least-squares regression
KW - Scatter correction
U2 - 10.1366/0003702971939947
DO - 10.1366/0003702971939947
M3 - Article
VL - 51
SP - 240
EP - 246
JO - Applied Spectroscopy
JF - Applied Spectroscopy
SN - 0003-7028
IS - 2
ER -