Strategies to minimize variability and bias associated with manual pipetting in ligand binding assays to assure data quality of protein therapeutic quantification

Bioanalytical laboratories require accurate and precise pipetting to assure reproducible and accurate results for reliable data. Two areas where pipetting differences among analysts lead to poor reproducibility are long term stability testing and sample dilution. The purpose of this paper is to illustrate the problems with manual pipetting, describe an automation strategy to mitigate risks associated with manual pipetting, and provide recommendations on a control strategy that properly monitors samples requiring dilutions.