PT  - JOURNAL ARTICLE
AU  - Hilario, Eric C
AU  - Stern, Alan
AU  - Wang, Charlie H
AU  - Webb Vargas, Yenny
AU  - Morgan, Charles J
AU  - Swartz, Trevor E
AU  - Patapoff, Thomas W
TI  - An Improved Method of Predicting Extinction Coefficients for the Determination of Protein Concentration
AID  - 10.5731/pdajpst.2016.007120
DP  - 2016 Jan 01
TA  - PDA Journal of Pharmaceutical Science and Technology
PG  - pdajpst.2016.007120
4099  - http://journal.pda.org/content/early/2016/10/21/pdajpst.2016.007120.short
4100  - http://journal.pda.org/content/early/2016/10/21/pdajpst.2016.007120.full
AB  - Concentration determination is an important method of protein characterization required in the development of protein therapeutics. There are many known methods for determining the concentration of a protein solution, but the easiest to implement in a manufacturing setting is absorption spectroscopy in the ultraviolet region. For typical proteins composed of the standard amino acids, absorption at wavelengths near 280 nm is due to the three amino acid chromophores tryptophan, tyrosine, and phenylalanine in addition to a contribution from disulfide bonds. According to the Beer-Lambert law, absorbance is proportional to concentration and path length with the proportionality constant being the extinction coefficient. Typically the extinction coefficient of proteins is experimentally determined by measuring a solution absorbance then experimentally determining the concentration, a measurement with some inherent variability depending on the method used. In this study, extinction coefficients were calculated based on the measured absorbance of model compounds of the four amino acid chromophores. These calculated values for an unfolded protein were then compared with an experimental concentration determination based on enzymatic digestion of proteins. The experimentally determined extinction coefficient for the native proteins was consistently found to be 1.05 times the calculated value for the unfolded proteins for a wide range of proteins with good accuracy and precision under well-controlled experimental conditions. The value of 1.05 times the calculated value was termed the predicted extinction coefficient. Statistical analysis shows that the differences between predicted and experimentally determined coefficients are scattered randomly indicating no systematic bias between the values among the proteins measured. The predicted extinction coefficient was found to be accurate and not subject to the inherent variability of experimental methods. We propose the use of a predicted extinction coefficient for determining the protein concentration of therapeutic proteins starting from early development through the lifecycle of the product.