Analyzing the Methods to Remove Artifacts Encountered in the Development of a NIR Quantitative Model for Powder MedicinesZhen Ni1,2, Yan-Chun Feng1 and Chang-Qin Hu1*
- *Corresponding Author:
- Dr. Chang-Qin Hu
National Key Technologies R&D Program
Foundation of China, China
Received date: October 10, 2010; Accepted date: December 23, 2010; Published date: December 29, 2010
Citation: Ni Z, Feng YC, Hu CQ (2010) Analyzing the Methods to Remove Artifacts Encountered in the Development of a NIR Quantitative Model for Powder Medicines. J Anal Bioanal Tech 1:114 doi: 10.4172/2155-9872.1000114
Copyright: © 2010 Ni Z, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The wrapper composition, particle size and crystallinity of powder drugs all affect their NIR spectra. To remove these effects, one must apply proper spectral preprocessing methods and good algorithms before developing a NIR quantitative model. Though different spectral preprocessing methods possess different functions aimed at removing different effects, we have found that use of the first derivative+vector normalization (FD+VN) removes the effects of packaging bottle and particle size in the NIR spectra. The effect of crystallinity cannot be removed with spectral preprocessing methods, but it can be reduced by choosing a proper calibration set, choosing a specific principal component, and applying partial least squares fitting.