Nanogold-based membranes is rapid

precise and selective colorimetric sensors for assay of Cr

6+

the variation intensity of color of the membrane can character the concentration of Cr

6+

. To identify the concentration

an identification algorithm based on support vector regression（ SVR） model is proposed

the optimal parameters training model is selected

then use the training model to identify the concentration. Experiments demonstrate that the identification precision of the proposed method is higher than polynomial nonlinear regression and BP neural network

the method can achieve precise concentration of Cr

6+

identification.