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How can in vitro studies support biowaiver strategies?
Comparative dissolution, permeability, and formulation characterization can support biowaiver planning, bridging strategies, and early development decisions.
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Why are discriminating in vitro methods important for complex products?
They help identify meaningful formulation and performance differences before pivotal studies or submission.
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Why do nasal spray and inhalation products require multiple in vitro tests?
OINDPs require multi-attribute evaluation, including dose delivery, spray characteristics, and aerodynamic performance, to support IVBE and comparative assessment.
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What is the difference between extractables and leachables in pharmaceutical packaging testing?
Extractables are compounds that can be pulled from packaging materials under aggressive laboratory conditions. Leachables are compounds that actually migrate into the drug product under normal storage or use conditions. In practice, extractables studies define potential risk, while leachables studies confirm real product exposure.
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What is included in your extractables and leachables testing database?
Our proprietary database contains over 1000 known packaging extractables with their chemical structures, analytical detection methods, and toxicological data. This enables rapid identification of detected compounds and streamlines the toxicological risk assessment process.
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How long does a pharmaceutical packaging E&L study usually take?
A typical pharmaceutical packaging extractables and leachables (E&L) study takes about 8 to 16 weeks, depending on the packaging configuration, material complexity, study design, analytical method requirements, and toxicological risk assessment scope.
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What is the difference between deterministic and probabilistic container closure integrity testing (CCIT)?
Deterministic container closure integrity testing (CCIT) methods such as vacuum decay, pressure decay, and helium leak detection produce quantitative, reproducible results with defined sensitivity limits. Probabilistic methods such as microbial challenge and dye ingress produce pass/fail outcomes with greater statistical variability. USP <1207> generally prefers deterministic methods for stronger scientific assurance.
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