An Approach to Comparative Analysis of Chromatographic Fingerprints for Assuring the Quality of Botanical Drugs
Author:
Affiliation:
1. College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310027, China
2. Center for Toxicoinformatics, National Center for Toxicological Research (NCTR), The U.S. Food and Drug Administration (FDA), Jefferson, Arkansas 72079
Publisher
American Chemical Society (ACS)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ci034034c
Reference16 articles.
1. Pharmaceutical Fingerprinting: Evaluation of Neural Networks and Chemometric Techniques for Distinguishing among Same-Product Manufacturers
2. Preprocessing of HPLC Trace Impurity Patterns by Wavelet Packets for Pharmaceutical Fingerprinting Using Artificial Neural Networks
3. Pharmaceutical Fingerprinting in Phase Space. 1. Construction of Phase Fingerprints
4. Genetic algorithm for fuel spill identification
5. Method development for the determination of anthocyanins in red wines by high-performance liquid chromatography and classification of German red wines by means of multivariate statistical methods
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