Pharmaceutical Residual Solvent Analysis: A Comparison of GC-FID and SIFT-MS Performance by Mark J. Perkins Colin Hastie Sophia E. Whitlock & Vaughan S. Langford

Pharmaceutical Residual Solvent Analysis: A Comparison of GC-FID and SIFT-MS Performance by Mark J. Perkins Colin Hastie Sophia E. Whitlock & Vaughan S. Langford

Author:Mark J. Perkins, Colin Hastie, Sophia E. Whitlock & Vaughan S. Langford
Format: pdf
Tags: Residual solvents in pharmaceutical excipients, active pharmaceutical ingredients (APIs), and finished products are usually analyzed using gas chromatography (GC)-based techniques according to a pharmacopeial monograph, such as the United States Pharmacopeia’s (USP) chapter <467>. GC analyses are often slow, which limits sample throughput. Selected ion flow tube mass spectrometry (SIFT-MS) removes the rate-limiting chromatographic separation step, potentially offering faster sample analyses. This approach was demonstrated recently with the publication of an alternative SIFT-MS procedure which was successfully validated against the performance criteria in USP chapter <1467>. The present study expands upon the previous work by conducting a head-to-head comparison of GC-flame ionization detection (GC-FID) and SIFT-MS procedures. The results obtained in this cross-platform study demonstrated similar performance for the GC-FID and SIFT-MS procedures for linearity (R2 > 0.94 and 0.97, respectively) and repeatability (<17%RSD and <10%RSD). For accuracy and recovery, acceptance criteria (within 20%) were achieved for most compounds across the two drug products (SIFT-MS suffered fewer failures, possibly due to shorter wait times prior to analysis). Additionally, SIFT-MS analyzed samples over 11-fold faster than GC-FID, increasing daily sample throughput and reducing the time taken to determine the result. This study therefore suggests that residual solvent analysis using SIFT-MS may support workflow improvements for pharmaceutical manufacturers., SIFT-MS; selected ion flow tube mass spectrometry; DIMS; residual solvents; headspace analysis; high-throughput analysis


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