Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

"Absolute" sterility and "absolute" freedom from particle contamination

J Z Knapp1

  • 1Research & Development Associates, Incorporated, Somerset, N.J., USA.

PDA Journal of Pharmaceutical Science and Technology
|September 30, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Far-field holography of ampule contaminants.

Applied optics·2010
Same author

The effect of validation on non-destructive particle inspection.

PDA journal of pharmaceutical science and technology·2001
Same author

The scientific basis for visible particle inspection.

PDA journal of pharmaceutical science and technology·2001
Same author

Origin, result and measurement of USP "essentially free" inspection for visible contaminating particles.

PDA journal of pharmaceutical science and technology·2000
Same author

Application of the new particle counting model to count accuracy determinations.

PDA journal of pharmaceutical science and technology·1996
Same author

A new coincidence model for single particle counters, part III: realization of single particle counting accuracy.

PDA journal of pharmaceutical science and technology·1996

Product sterility and particle contamination control are now probabilistic, moving beyond absolute terms. This shift enables rational, cost-effective quality assurance in pharmaceutical manufacturing.

Area of Science:

  • Pharmaceutical Manufacturing
  • Quality Control
  • Biophysics

Background:

  • Historically, injectable product sterility was viewed as an absolute state (yes/no).
  • This absolute approach presented challenges in mass production and lacked a unifying theoretical framework.
  • Production line control relied heavily on subjective evaluations.

Purpose of the Study:

  • To introduce a rational, probabilistic framework for controlling product sterility and particle contamination in injectable manufacturing.
  • To establish a common scientific language for evaluating visual particle inspection effectiveness and economic viability.
  • To enable objective analysis, improved control, and reduced costs in pharmaceutical production.

Main Methods:

  • Utilized Pflug's theoretical framework, based on experimental data, to quantify achieved sterility as a probabilistic reduction of initial contamination.

Related Experiment Videos

  • Applied principles from biophysics, illumination engineering, optics, pharmaceutical manufacturing, and statistics to develop statistically replicable measures for particle inspection.
  • Evaluated semi- and fully automated particle inspection systems against human inspection performance using these measures.
  • Main Results:

    • Product sterility is now understood as a probabilistic outcome influenced by pre-sterilization contamination levels and sterilization process parameters.
    • A numerical evaluation system, analogous to Pflug's sterility index, has been developed for assessing particle contamination control.
    • This system allows for the comparison of contamination freedom and economic effectiveness of inspection processes.

    Conclusions:

    • Moving from absolute to probabilistic assessments of sterility and particle contamination enhances scientific analysis and production control.
    • A standardized, scientific language is crucial for harmonizing visual particle inspection results globally.
    • The developed framework supports objective evaluation, leading to improved product quality and economic efficiency in pharmaceutical manufacturing.