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Statistical quality control process for traditional Chinese medicine

  • Siu-Keung Tse
  • , Jang-Yang Chang
  • , Wei-Lun Su
  • , Shein-Chung Chow
  • , Chao Hsiung
  • , Qingshu Lu

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Abstract

    The statistical quality control process on raw materials and/or the final product of traditional Chinese medicine (TCM) is examined. We develop a statistical quality control (QC) method to assess a proposed consistency index of raw materials from different sources and/or final products manufactured at different sites. The idea is to construct a 95% confidence interval for a proposed consistency index under a sampling plan. If the constructed 95% confidence lower limit is greater than a prespecified QC lower limit, then we claim that the raw material or final products have passed the QC and hence can be released for further processing or use; otherwise, the raw materials and/or final product should be rejected. For a given component (the most active component if possible), a sampling plan is derived to ensure that there is a desired probability for establishing consistency between sites when there is truly no difference in raw materials or final products between sites. An example concerning the development of a TCM is presented to illustrate the proposed statistical QC method for assessing consistency in raw materials from two sites. Copyright © Taylor & Francis Group, LLC.
    Original languageEnglish
    Pages (from-to)861-874
    JournalJournal of Biopharmaceutical Statistics
    Volume16
    Issue number6
    DOIs
    Publication statusPublished - 1 Dec 2006

    Research Keywords

    • Acceptance criteria
    • Consistency index
    • Sampling plan
    • Test procedure

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