The ultra-low concentration
dynamic light scattering inversion method based on non-
Gaussian autocorrelation function belongs to the technical field of
nanoparticle size detection. Step 1001, set the fitting target function and the fitting initial value; step 1002, determine the adjustment range of the focusing
waist radius; step 1003, calculate the
root mean square error of the autocorrelation function; step 1004, increase the focusing
waist radius value; step 1005, w0>0.1um, return to step 1003, w0≤0.1um, execute step 1006; step 1006, obtain the minimum value of the
root mean square error of the autocorrelation function; step 1007, obtain the optimal value of the focusing
waist radius to correct the non-
Gaussian autocorrelation
function model; step 1008, reconstruct the kernel matrix; step 1009, invert the
particle size distribution. In this ultra-low concentration
dynamic light scattering inversion method based on non-
Gaussian autocorrelation function, the optimal focusing beam waist radius value is used to correct the non-Gaussian
correlation function theoretical model to obtain a kernel matrix that matches the measured data, which significantly improves the particle size inversion accuracy of ultra-low concentration
dynamic light scattering measurement.