Based on my understanding, it appears that you are interested in curve-fitting triplicate data using MATLAB.
To successfully accomplish this, it would be beneficial to have a basic understanding of creating functions in MATLAB and utilizing the built-in curve fitting functions such as “lsqcurvefit()”. Please refer to the below step-by-step procedure for curve-fitting triplicate data using “lsqcurevefit”:
- Define the equation as a function that takes parameters “x” and “T”. This would involve utilizing exponential functions and mathematical operations to create the desired equation.
- Load the time array (“T”) and concentration ratio array (“C1_C0”) into MATLAB. These arrays would contain the triplicate data you wish to fit.
- Create an initial guess array with the initial values for “k1” and “k2”. These values will serve as starting points for the curve-fitting process.
- Utilize the “lsqcurvefit” function to estimate the values of “k1” and “k2”. This requires providing the equation function, initial guess array, “T”, and “C1_C0” as input arguments. The output will be the estimated values for “k1” and “k2”.
I recommend you refer to the following documentation page to know more about “lsqcurvefit” function: Solve nonlinear curve-fitting (data-fitting) problems in least-squares sense - MATLAB lsqcurvefit - MathWorks India
I hope by following these steps, you would be able to curve-fit triplicate data.
