Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology.

In clinical treatment, the analytical quality assessment of the delivery of chemotherapeutic preparations is required to guarantee the patient's safety regarding the dose and most importantly the appropriate anticancer drug. On its own, the development of rapid analytical methods allowing both quali...

Descripción completa

Detalles Bibliográficos
Publicado en:BioMed Research International pp. 1 - 9
Autores principales: El Orche, Aimen, Adade, Casimir Adade, Mefetah, Hafid, Cheikh, Amine, Karrouchi, Khalid, El Karbane, Miloud, Bouatia, Mustapha
Formato: research tables/charts Journal Article
Publicado: Wiley-Blackwell 5/7/2021
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=150204363&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 150204363
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        23146133
        FT2T
      jtl: BioMed Research International
      issn: 23146133
      maglogo: N
    pubinfo:
      dt: 5/7/2021
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        150204363
        150204363
        150204363
        10.1155/2021/5580102
        150204363
      ppf: 1
      ppct: 8
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology.
      aug:
        au:
          El Orche, Aimen
          Adade, Casimir Adade
          Mefetah, Hafid
          Cheikh, Amine
          Karrouchi, Khalid
          El Karbane, Miloud
          Bouatia, Mustapha
        affil: Laboratory of Chemical Processes and Applied Materials, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, Morocco
      sug:
        subj:
          Anthracyclines Analysis
          Spectrum Analysis Methods
          Oncology
          Chemistry, Analytical Methods
          Chemometrics
          Human
          Molecular Structure
          Descriptive Statistics
          Sensitivity and Specificity
          Regression
          High-Throughput Screening Assays
          Ultraviolet Rays
      ab: In clinical treatment, the analytical quality assessment of the delivery of chemotherapeutic preparations is required to guarantee the patient's safety regarding the dose and most importantly the appropriate anticancer drug. On its own, the development of rapid analytical methods allowing both qualitative and quantitative control of the formulation of prepared solutions could significantly enhance the hospital's workflow, reducing costs, and potentially providing optimal patient care. UV-visible spectroscopy is a nondestructive, fast, and economical technique for molecular characterization of samples. A discrimination and quantification study of three chemotherapeutic drugs doxorubicin, daunorubicin, and epirubicin was conducted, using clinically relevant concentration ranges prepared in 0.9% NaCl solutions. The application of the partial least square discriminant analysis PLS-DA method on the UV-visible spectral data shows a perfect discrimination of the three drugs with a sensitivity and specificity of 100%. The use of partial least square regression PLS shows high quantification performance of these molecules in solution represented by the low value of root mean square error of calibration (RMSEC) and root mean square error of cross validation (RMSCECV) on the one hand and the high value of R -square on the other hand. This study demonstrated the viability of UV-visible fingerprinting (routine approach) coupled with chemometric tools for the classification and quantification of chemotherapeutic drugs during clinical preparation.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N