Lsqnonlin method for parameter estimation of integrated enzyme kinetics by weighted nonlinear least-squares analysis

A convenient and accurate method for estimating integrated enzyme kinetics parameter was presented using the Isqnonlin function(Matlab software) coupled with weighted nonlinear least-squares analysis. The sum of the squared weighted errors proposed by solving the parameter estimation of Monod model was introduced to solve the similar model-integrated enzyme kinetics model, which establishes the relationship between the sum of the residual square of independent variable and that of dependent variable. The weighted nonlinear least-squares analysis can be conveniently employed with all kinds of nonlinear optimization methods. Combined with the powerful search ability of Isqnonlin method, the parameter estimation of integrated enzyme kinetics model can be resolved. The results based on synthetic data demonstrate the validity of the proposed method.