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Volumn 16, Issue 3, 2004, Pages 475-485

Studying unidentified impurities in drug substances by the application of multivariate (principal component and cluster) analysis

Author keywords

Chemical and pharmaceutical processes; Cluster analysis; Drug substances; Impurity profile; Principal component analysis

Indexed keywords

CHEMICAL PLANTS; CORRELATION METHODS; DRUG PRODUCTS; EIGENVALUES AND EIGENFUNCTIONS; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; IMPURITIES; MATRIX ALGEBRA; STRUCTURE (COMPOSITION);

EID: 1942436718     PISSN: 08982112     EISSN: None     Source Type: Journal    
DOI: 10.1081/QEN-120027948     Document Type: Article
Times cited : (4)

References (16)
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  • 4
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    • Expert Working Group (Quality) International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use. (1996). ICH Q3A Impurities in New Drug Substances. Rockville, MD: Drug Information Branch, HFD-210, Center for Drug Evaluation and Research (CDER), Food and Drug Administration, 1-9.
    • (1996) ICH Q3A Impurities in New Drug Substances , pp. 1-9
  • 5
    • 0141988661 scopus 로고    scopus 로고
    • 2 control chart and the Mason-Tracy-Young decomposition procedure to the study of the consistency of impurity profiles of drug substances
    • 2 control chart and the Mason-Tracy-Young decomposition procedure to the study of the consistency of impurity profiles of drug substances. Quality Engineering 16(1):127-142.
    • (2003) Quality Engineering , vol.16 , Issue.1 , pp. 127-142
    • Gonzalez-De La Parra, M.1    Rodríguez-Loaiza, P.2
  • 7
    • 0015814461 scopus 로고
    • Strategy in drug design. Cluser analysis as an aid in the selection of substituents
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    • (1973) Journal of Medicinal Chemistry , vol.16 , pp. 1212-1222
    • Hansch, C.1    Unger, S.H.2    Forsythe, A.B.3
  • 9
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    • New York: Marcel Dekker. Inc.
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    • Martin, Y.C.1
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    • Factor analysis and cluster analysis
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    • Chapter 13: Principal components and factor analysis
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    • Tabachnick, B. G., Fidell, L. S. (2001). Chapter 13: principal components and factor analysis. Using Multivariate Statistics, 4th ed. Boston: Allyn and Bacon, 582-652.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.