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FAQ

  • How do I choose the right CCIT method for my product?

    The right CCIT method depends on your package type, product characteristics, required sensitivity, and regulatory expectations. Deterministic methods such as vacuum decay, helium leak detection, and HVLD are often preferred for their reproducibility and sensitivity, while challenge-based methods can support development or correlation studies.

  • Can you validate a CCIT method for my specific packaging?

    Yes. We develop and validate CCIT methods tailored to your specific packaging configuration. Validation includes sensitivity studies (spiked samples with known defect sizes), specificity testing, and correlation to microbial challenge data per USP <1207> recommendations.

  • What is the Maximum Allowable Leakage Limit (MALL)?

    The MALL is the leak rate that corresponds to the maximum leak size that could compromise sterility — typically considered to be approximately 0.1–1.0 μm for most sterile products. Our vacuum decay method (LOD 1 μm) can reliably detect leaks at or below the MALL for most applications.

  • Why is orthogonal particle characterization important?

    Because no single method can fully describe complex particles across all sizes, structures, and sample matrices. Orthogonal methods strengthen confidence in key CQAs such as size distribution, concentration, morphology, and aggregation.

  • How do you choose methods for size and concentration?

    We select methods based on particle type, expected size range, polydispersity, and matrix effects. A typical study may combine screening, separation-based, particle-by-particle, and imaging methods to build a reliable interpretation.

  • What information do you need to start a study?

    We usually need the product modality, concentration range, formulation or buffer details, and intended use such as development, comparability, stability, or release support. If target CQAs or specifications are available, we align the study plan accordingly.

  • What if different methods give different results?

    Differences can result from sample heterogeneity, matrix effects, or the measurement principles of each method. We review preparation, working range, and orthogonal evidence to provide a consistent interpretation and practical next steps.

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