Measuring Aztreonam Variations by Process Analytical Technology

Area of Science:

• Pharmaceutical Sciences
• Analytical Chemistry
• Process Analytical Technology (PAT)

Background:

• Aztreonam for injection is a critical antibiotic for treating Gram-negative infections.
• Ensuring the homogeneity of lyophilized drug products is essential for consistent clinical performance.
• Complex lyophilized matrices present challenges in maintaining uniform physical and chemical properties.

Purpose of the Study:

• To investigate the physical and chemical homogeneity of commercially available aztreonam for injection.
• To identify and characterize inconsistencies within and between manufacturing lots using advanced analytical techniques.
• To assess the impact of these inconsistencies on process control and product quality.

Main Methods:

• Near-infrared (NIR) spectrometric screening of aztreonam for injection vials.
• High-dimensional principal component analysis (PCA) for analyzing spectral data.
• Statistical evaluation including FSOB algorithm and quantile-quantile (QQ) plots for subpopulation validation.

Main Results:

• Significant intra-lot variability observed, with spectral data exhibiting toroidal patterns indicative of oscillatory dynamics.
• Extreme multidimensional outliers (up to 5.6 standard deviations) suggest multiple independent instability drivers.
• Inter-lot analysis confirmed systemic inconsistencies, dividing the spectral library into two distinct subpopulations.
• Specific manufacturing lots showed batch-level structural deviations, potentially linked to moisture and aliphatic fluctuations.
• Mathematical validation confirmed the presence of distinct subpopulations, with high correlation coefficients (r_tn=0.99, r_ts=0.88) and statistical significance (p=0.02).

Conclusions:

• The manufacturing process for aztreonam for injection is subject to multiple, independent sources of instability.
• Intermittent lapses in process control are suggested by asymmetric outlier distributions.
• Product homogeneity is compromised by systemic physical and chemical inconsistencies.
• Operations may intermittently fall outside a strict state of control, necessitating process optimization.