APPLICATION OF NONLINEAR REGRESSION MODEL TO DETECTTHE THICKNESS OF PROTEIN LAYER
非线性模型在蛋白质薄膜厚度测定中的应用

The thickness of protein layer was studied by applying nonlinear regression model to fit the reflection spectrum.To reduce the influence of systematic noise, a polystyrene film was spread on the slide surface. The reflection spectrum was normalized to that of bare glass slide substrate to eliminate the light source influence. The results were compared with that of the classical interferometry and enzyme labeled antigen-antibody interactions. Good agreements among these results suggested the proposed method is authentic.