Author(s): C C Camarasu
Two static headspace selective methods for residual solvents belonging to Class I, II and III have been developed, optimized and validated for drug products, which are insoluble in water. The methods give very good sensitivities (detection limits under 10 ppm) and precision (under 5.5% RSD) for all solvents. The detection limit for benzene was 0.1 ppm, in concordance with Pharmacopoeia requirements. During method optimization we found that sample volume and water content have a critical influence on the sensitivity. From our data, it is beneficial to choose low sample volume. If sample solubility in the organic solvent allows it, the optimum sample volume is between 0.1 and 0.3 mL. For drug products with water content greater than 7%, the increase in sensitivity produced by water presence should be taken into consideration, otherwise inconsistent recovery data and underestimation of residual solvent content will happen.