Quality in Pharma Industry : Analytical Method Validation

Explore why unethical analytical test methods are developed and validated in the pharmaceutical industry, and how validation supports quality across drug development phases under ICH and FDA guidelines.

Identify and categorize the four USP-based unethical analytical test methods for bulk drug substances, impurities, performance characteristics, and identification tests in finished products.

Describe the description test for drug substances, defining a qualitative statement of color and appearance as white solid powder and establishing specifications to monitor shelf life, with changes prompting investigation.

Identify drug substances by using identification tests that discriminate closely related structures, combining two methods such as UV, HPLC-MS, or GC-MS to ensure specific, reliable identification.

Explore impurity classifications in drug substances, including organic, inorganic, and residual solvents, and distinguish process from degradation impurities with identification and limit guidance under three a and three b guidelines.

Explains description analysis for drug products, detailing qualitative dosage form descriptions—size, shape, and color—and sets visual acceptance criteria for tablets, with actions for changes during manufacture or storage.

Learn how identification testing establishes the identity of drug substances and products, discriminates closely related structures, and uses two methods, such as HPLC and GC-MS, for content uniformity and assay.

Compare assay and content uniformity analyses for drug substance amounts. Assay uses multiple units; content uniformity tests a dosage form for equal content, with a validated stability-indicating method before release.

Explore the ICH guideline scope for analytical test methods, detailing four guideline areas, quality, safety, efficacy, and multidisciplinary, and how they cover stability testing, impurity thresholds, and regulatory information transfer.

Learn analytical method validation parameters, including specificity, accuracy, precision (intermediate precision and repeatability), detection and quantitation limits, linearity, and working range, plus robustness and revalidation.

Define specificity as the method's ability to measure analyte in presence of excipients, placebo, degradation products, and impurities, with active and impurity peaks separated, demonstrated by analytical method validation studies.

Assess specificity in chromatography methods by comparing blank, placebo, and test samples for interferences in drug substances within drug products, using degradation checks and diode array detector wavelengths.

Define accuracy as the closeness between true and practical values (trueness) and assess it by spiking known drug into placebo powders, measuring percent recovery with three samples per level.

Explore how to select working range and set minimum, optimum, and maximum accuracy levels for analytical method validation, including assay, cleaning residual, and related substance analyses.

Assess dissolution analyses for immediate, controlled, and delayed release tablets to validate solution characteristics and establish accuracy parameters via percent recovery against known added amounts.

Assess precision in analytical method validation by preparing homogeneous samples, performing multiple measurements, and evaluating closeness of results, distinguishing precision from accuracy and noting repeatability, intermediate precision, and reproducibility.

Assess repeatability in analytical method validation by measuring six samples at 100% test concentration to keep standard deviation under 2%, including spiked impurities for related substances and residual solvents.

Explain intermediate precision as within-lab method sensitivity to minor equipment and operator changes, using two analysts on different days with different equipment to confirm results within 3% mean difference.

Understand reproducibility as inter-laboratory precision that builds on repeatability and intermediate precision, assessing method sensitivity across labs, with emphasis on equipment, variation, standardized methodology, and a 3% mean-value criterion.

This lecture covers system precision, repeatability, intermediate precision, and reproducibility, emphasizing sampling procedures, sample preparation, and how instrument, time, and different laboratories influence precision.

Explore detection limit and quantitation limit within analytical method validation, using signal-to-noise ratios of three and ten to define the lowest detectable and quantifiable analyte for impurities and degradation products.