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Related Concept Videos

Microbial Growth Measurement: Direct Methods01:23

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Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
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Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome
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In-process microbial testing: statistical properties of a rapid alternative to compendial enumeration methods.

Emil M Friedman1, Mark Warner2, Sam C Shum2

  • 1MannKind Corporation, One Casper Street, Danbury, CT efriedman@mannkindcorp.com.

PDA Journal of Pharmaceutical Science and Technology
|April 15, 2015
PubMed
Summary
This summary is machine-generated.

Multiple rapid microbiological methods can balance the risks of false acceptance and false rejection in manufacturing. A novel graph helps users select sample sizes and acceptance rules to optimize testing costs and accuracy.

Keywords:
Alternative microbial methodBinomial distributionColony-forming units (CFU)False alarm rateMost probable number (MPN)Operating Characteristic (OC) curvePoisson distributionRapid microbiological method (RMM)SensitivitySpecificity

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Area of Science:

  • Microbiology
  • Industrial Manufacturing
  • Quality Control

Background:

  • In-process testing is crucial to prevent costly further processing of materials likely to fail final quality control.
  • Rapid microbiological methods offer faster results than traditional compendial methods, making them attractive for in-process use.
  • A single rapid test often struggles to balance sensitivity (detecting borderline failures) and specificity (avoiding false rejections).

Purpose of the Study:

  • To quantify a strategy for balancing the risks of false acceptance and false rejection using multiple rapid microbiological methods.
  • To introduce a novel graphical tool for end-users to select optimal testing parameters.
  • To account for testing costs (number of tests) when determining an acceptance rule.

Main Methods:

  • Performing multiple rapid microbiological tests on in-process materials.
  • Applying a defined acceptance rule based on the results of the multiple tests.
  • Developing and utilizing a novel graphical method to guide the selection of sample size, number of samples, and acceptance criteria.

Main Results:

  • A method is presented to achieve a better balance between the risk of accepting faulty products and rejecting good products.
  • The proposed graphical tool allows users to determine appropriate sample sizes and acceptance rules.
  • The approach considers the trade-off between testing accuracy and the cost associated with the number of tests performed.

Conclusions:

  • Combining multiple rapid microbiological methods with a suitable acceptance rule improves the reliability of in-process testing.
  • The novel graphical approach provides a practical solution for optimizing testing strategies in industrial settings.
  • This method helps manufacturers make informed decisions to minimize both product failures and unnecessary rejections.