In order to detect the growth quality indicators of Spirulina sp. using a fast and on-destructive method, this study was carried out to predict chlorophyll a and protein content under different red and bule light combinations (100% red light, 90% red light+10% blue light, 70% red light+30% blue light and 50% red light+50% blue light) using Vis/NIR spectroscopy (325～1 075 nm). The chlorophyll a and protein content were predicted using partial least squares (PLS) models. Then successive projections algorithm (SPA) was used to identify effective wavelengths for chlorophyll a and protein, resulting in five (404, 440, 518, 662 and 875 nm) and four (411, 531, 602 and 1 047 nm) wavelengths, respectively. Based on the selected wavelengths, multiple linear regression (MLR) models were established, which obtained the rp of 0.949 and 0.974, RMSEP of 0.018 8 and 0.006 74, respectively. The results demonstrated that Vis/NIR spectroscopy has the potential to be used for determination of chlorophyll a and protein content in Spirulina sp., and the growth condition can be monitored by the MLR equation and the corresponding spectral reflectance information.