IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4757-3466-9_18.html
   My bibliography  Save this book chapter

Evaluation of the Decimal Reduction Time of a Sterilization Process in Pharmaceutical Production

In: Applied Statistics in the Pharmaceutical Industry

Author

Listed:
  • Jeffrey Eisele

    (Novartis Pharma AG, Department of Biostatistics)

  • Amy Racine

    (Novartis Pharma AG, Department of Biostatistics)

  • Mauro Gasparini

    (Politecnico di Torino, Dipartimento di Matematica)

Abstract

Consider measuring the effectiveness of sterilization during the production of a pharmaceutical substance. The decimal reduction time, D-value, of a steriliza­tion process is defined to be the time required to reduce the number of microor­ganisms present by a factor of 10. Because the issue of concern is the rate of bacterial death this process is often referred to as “Death Kinetics.” Different methods for sterilization are possible depending on the nature of the pharmaceu­tical product, for example, heat treatment. Since the D-value depends to a large extent on environmental conditions, it is necessary to determine experimentally the substance specific D-value for each substance that is sterilized by means of moist heat. If the D-value of the substance is the same as that of a reference substance, typically water, the sterilization process is deemed successful.

Suggested Citation

  • Jeffrey Eisele & Amy Racine & Mauro Gasparini, 2001. "Evaluation of the Decimal Reduction Time of a Sterilization Process in Pharmaceutical Production," Springer Books, in: Steven P. Millard & Andreas Krause (ed.), Applied Statistics in the Pharmaceutical Industry, chapter 18, pages 457-474, Springer.
  • Handle: RePEc:spr:sprchp:978-1-4757-3466-9_18
    DOI: 10.1007/978-1-4757-3466-9_18
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-1-4757-3466-9_18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.