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Residual Plots01:07

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A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
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Residual stresses reside in a structure even after removing the original stress inducer. This phenomenon often arises from varied plastic deformations across different parts of a structure. Consider a rod stretched beyond its yield point. It will not regain its original length due to permanent deformation. Even after load removal, the rod does not entirely lose stress because of uneven plastic deformations, resulting in residual stresses. The computation of these stresses in structures is...
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In materials that exhibit elastic and plastic behavior, known as elastoplastic materials, residual stresses can accumulate when these materials experience plastic deformation. This deformation arises from either high levels of shearing stress or significant strains. Residual stresses are internal stresses that persist within a material after removing the external force causing deformation. This phenomenon is demonstrated when observing the behavior of a shaft under torque; notably, the...
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In the study of elastoplastic members subjected to bending moments, understanding the loading and unloading phases is crucial for assessing material behavior and structural integrity. During the loading phase, as the bending moment increases, the material initially responds elastically, adhering to Hooke's Law, where stress is directly proportional to strain. When the load exceeds the yield strength, plastic deformation occurs, resulting in permanent strain and deformation that remains even...
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The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
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Optimized Sealing Process and Real-Time Monitoring of Glass-to-Metal Seal Structures
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Quantifying the Vial Capping Process: Residual Seal Force and Container Closure Integrity.

Robert Ovadia1, Alexander Streubel2, Yenny Webb-Vargas3

  • 1Pharmaceutical Processing and Technology Development, Genentech, CA, USA.

PDA Journal of Pharmaceutical Science and Technology
|June 30, 2018
PubMed
Summary
This summary is machine-generated.

Residual seal force (RSF) in parenteral drug packaging shows significant variability, primarily due to component tolerances, not capping equipment. RSF is a feasible parameter for capping process quantification, enabling consistent capper setup and improved product quality control.

Keywords:
CCIContainer closure integrityCrimp capHelium leakagePrimary packaging componentsRSFResidual seal forceStopperVialVial capping

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Area of Science:

  • Pharmaceutical Packaging
  • Process Engineering
  • Quality Control

Background:

  • Capping ensures parenteral drug product quality through an integral seal.
  • Residual Seal Force (RSF) is a key metric for seal quality but its reliability and relationship with Container Closure Integrity (CCI) are poorly understood.

Purpose of the Study:

  • To investigate the variability of RSF measurements.
  • To identify the root causes of RSF variability in parenteral drug packaging.
  • To correlate RSF with Container Closure Integrity (CCI) and establish safe RSF limits.

Main Methods:

  • Generated a large dataset of RSF values from commercial and laboratory cappers using glass vials and rubber stoppers.
  • Evaluated variability sources including capper, tester, time, and component dimensions.
  • Correlated RSF with CCI using helium leakage testing and differentiated stopper seal functions.
  • Applied statistical analysis to establish RSF limits based on allowable failure rates.

Main Results:

  • Significant RSF variability was observed, with component dimensional tolerances identified as the primary cause.
  • CCI was maintained even at low RSF values due to the dual functionality of the stopper seals (valve and land seals).
  • A methodology was developed to differentiate seal functions, showing the valve seal is critical for maintaining CCI.
  • A statistical approach was proposed for setting safe low RSF limits.

Conclusions:

  • Despite inherent variability, RSF is a feasible parameter for quantifying the capping process.
  • RSF measurement can be utilized for consistent capper setup and process control.
  • Understanding stopper seal mechanics allows for the establishment of robust safety limits for RSF.