GC-FID Residual Solvent Analytical Method Development Service

Technical Insights

July 16, 2025

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A High-Efficiency Alternative to GC-MS for Commercial-Scale Product Testing

GC-MS is commonly used in early-stage development of pharmaceuticals and biotech products due to its high sensitivity and selectivity, particularly for limited, complex samples requiring structural identification. However, as the product moves into commercial-scale production, the high cost and operational complexity of GC-MS become burdensome for routine quality control.

Amaran Biotech successfully assisted clients in converting their GC-MS method for residual solvent analysis to a more efficient and stable GC-FID method. Three Key Advantages of GC-FID Implementation:
🔹 Enhanced Efficiency: Ideal for situations requiring a large number of repeated analyses, routine quality control or large-scale testing
🔹 Cost Optimization: Significantly lower instrument and maintenance costs compared to GC-MS
🔹 Reliable Quality: Excellent linearity and reproducibility, fully compliant with pharmacopeial and regulatory standards

Case Study: One Injection, Four Solvents Quantified
Based on client needs, Amaran Biotech developed a GC-FID method capable of analyzing four common solvents simultaneously, achieving the following:
✔ Optimized mixed standards and separation conditions
✔ Established calibration curves and quantification ranges
✔ Evaluated system suitability (SST), linearity, and reproducibility
✔ Achieved simultaneous quantification of four solvents in a single injection, maximizing efficiency

Applicable Industries and Use Cases
Residual solvent testing in pharmaceuticals and APIs
Volatile compound analysis in food, flavors, and cosmetics
VOCs detection in petrochemical and environmental samples

We are more than just method developers — we are your strategic partner in analytical science, supporting your transition from development to commercial production. Amaran Biotech provides scalable, regulatory-ready solutions that simplify and accelerate large-batch testing in routine production workflows.