Journal: Analytical Chemistry

Article Title: Decoupling Protein Concentration and Aggregate Content Using Diffusion and Water NMR

doi: 10.1021/acs.analchem.3c05875

Figure Lengend Snippet: Plots showing the effect of aggregate percentage on R 2 ( 1 H 2 O) for BSA (A) and mAb (B) solutions over a range of different concentrations. The solid lines represent linear regression fits to individual sample concentrations (as determined in MATLAB 2022a [MathWorks, US]), and the blue-shaded areas represent 95% confidence intervals calculated from average of the standard error of all data points for each protein. The 95% confidence intervals are multiplied by a factor of 5 for visibility. Sample errors were determined by taking the standard error of the arithmetic mean of three sample measurements; values can be found in the Tables S2 and S3 . Error bars are excluded for clarity where the errors are smaller than the symbols used.

Article Snippet: To calculate the aggregate percentage for each mAb sample, the built-in Curve Fitting Tool in MATLAB 2022a (MathWorks, US) was used to generate a Gaussian fit for the protein peaks with multiple components used if required.

Techniques:

Journal: Analytical Chemistry

Article Title: Decoupling Protein Concentration and Aggregate Content Using Diffusion and Water NMR

doi: 10.1021/acs.analchem.3c05875

Figure Lengend Snippet: Plots showing the effect of aggregate percentage on D ( 1 H 2 O) for BSA (A) and mAb (B) solutions over a range of different concentrations. The solid lines represent linear regression fits to individual sample concentrations (as determined in MATLAB 2022a [MathWorks, US]), and the blue-shaded areas represent 95% confidence intervals calculated from average of the standard error of all data points for each protein. Individual data point errors were determined by taking the standard error of the arithmetic mean of three sample measurements; values can be found in Tables S2 and S3 .

Article Snippet: To calculate the aggregate percentage for each mAb sample, the built-in Curve Fitting Tool in MATLAB 2022a (MathWorks, US) was used to generate a Gaussian fit for the protein peaks with multiple components used if required.

Techniques: