For the influence of temperature to EGO sensor's output, its nonlinear regression models which include temperature's modifying term be achieved.

Furthermore, the background correction during the oxygen isotope ratio measurement with MAT-CH5 mass spectrometer was chosen as an example.

Results show that influent load, calibrated parameters related to oxygen transfer efficiency and thickening constant of final clarifier have greater effect on optimal design.