title: Ruggedness study of HPLC peptide mapping for the identity of a drug compound: a chemometrics approach.
abstract: A statistically more reliable approach than the traditional visual inspection of peptide maps to identify a drug compound is to generate a set of reference standards from a designed experiment that incorporates many possible factors that affect variation of peptide mapping. In fact, the experiment can be done for a ruggedness study as part of a high-performance liquid chromatography (HPLC) method validation. Once the ruggedness is proved with the study, those articles in the experiment may form a set of reference standards, and future articles can be compared to the set later to prove identity. A quantitative analysis of the ruggedness study can be done using a chemometrics approach, principal component analysis (PCA). The analysis is used to reduce the many channels of peptide maps to a few manageable dimensions. The scores projected onto the reduced dimensions are used to test factor effects of the ruggedness study. As a by-product, the analysis provides visual inspection of the set of articles in the experiment for any outliers and anomalies.
authors.affiliation: Statistical Sciences Department, SmithKline Beecham Pharmaceuticals, King of Prussia, PA 19406, USA.
authors.forename: K R
authors.initials: KR
authors.lastname: Lee
authors.forename: J
authors.initials: J
authors.lastname: Bongers
authors.forename: B H
authors.initials: BH
authors.lastname: Jones
authors.forename: S
authors.initials: S
authors.lastname: Burman
mesh_terms: D000911:Antibodies, Monoclonal; D002851:Chromatography, High Pressure Liquid; D007074:Immunoglobulin G / Q000032:analysis; D015999:Multivariate Analysis; D010449:Peptide Mapping / Q000379:methods*; D004364:Pharmaceutical Preparations / Q000032:analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D000911:Antibodies, Monoclonal; D007074:Immunoglobulin G; D004364:Pharmaceutical Preparations