Evaluation of the effects of residual carbon content matrix on the determination of pharmaceutically regulated elemental impurities by ICP-MS
Accurate elemental impurity analysis by ICP-MS can be complicated by residual carbon within pharmaceutical sample matrices. In this case study, Andrei Izmer, Analytical Technical Leader, examines how residual carbon content can influence the determination of regulated elemental impurities, with particular focus on arsenic and selenium. The study compares external calibration, matrix-matched standards and standard addition, demonstrating how the right calibration approach can help minimise matrix effects and deliver more accurate, robust analytical results.
Read the case study to explore how Almac approaches complex matrix effects to support accurate elemental impurity analysis by ICP-MS.