Estimation of primary pH measurement uncertainty using Monte Carlo simulation

pH is a widely used control parameter for several industrial processes. Thus, its correct determination and uncertainty estimation are extremely important. The Guide to the Expression of Uncertainty in Measurement (ISO-GUM) has been extensively used for pH uncertainty estimation. This work uses Monte Carlo simulation to estimate pH uncertainty in a primary pH system for the measurements of a regional comparison (SIM 8.11P-1) in which INMETRO has participated. The results are compared with the ISO-GUM analytical estimation approach and good agreement was found.