The diffuse reflectance spectrum of skin contains rich tissue information, which has been widely used in the detection of physiological parameters. However, due to the complex changes of human physiological parameters and difficulties in optical data collection under various conditions, its development and application in the detection of non-invasive peripheral blood physiological parameters are limited. In view of this, Monte Carlo simulation method is used to simulate the effects of different concentrations of total hemoglobin, oxygenated hemoglobin, deoxyhemoglobin, methemoglobin and other peripheral blood components on skin diffuse reflectance spectrum and skin color, and a chromatographic fusion based analysis method for cyanosis is proposed. The results show that the skin color features can distinguish healthy, jaundice and cyanosis, and the analytical method solves the difficulty of accurately distinguishing the cause of cyanosis by skin color alone.