Levothyroxine Variations by Process Analytical Technology.

Area of Science:

• Pharmaceutical Sciences
• Analytical Chemistry
• Spectroscopy

Background:

• Drug quality and consistency are critical for patient safety and therapeutic efficacy.
• Variability in drug products can arise from manufacturing processes and raw material sourcing.
• The Drug Quality Study (DQS) aims to assess drug quality using advanced analytical techniques.

Purpose of the Study:

• To investigate intra-lot and inter-lot variability in levothyroxine drug products.
• To identify potential discrepancies in levothyroxine material using spectral analysis.
• To evaluate the effectiveness of Fourier transform near-infrared spectrometry (FTNIR) in detecting drug quality variations.

Main Methods:

• Utilized Fourier transform near-infrared spectrometry (FTNIR) for spectral analysis of levothyroxine samples.
• Analyzed spectra from multiple vials across different lots to assess variability.
• Employed statistical methods to identify outliers and distinct spectral clusters.

Main Results:

• Detected significant intra-lot and inter-lot variability in levothyroxine spectra.
• Identified two levothyroxine vials from lot AFN102 as statistical outliers (9.1 and 10.1 SDs).
• Spectral data from 108 vials across six lots clustered into two distinct groups (p=0.02), indicating different material compositions.

Conclusions:

• FTNIR is a sensitive method for detecting variability in levothyroxine drug products.
• The observed spectral variations suggest potential differences in material quality between levothyroxine lots.
• Further investigation is warranted to determine the clinical significance of these findings and ensure drug product consistency.