1. 浙江经济职业技术学院，浙江 杭州 310018
2. 福建农林大学机电工程学院，福建 福州 350002
3. Department of Bioproducts and Biosystems Engineering, University of Minnestota, Saint Paul, MN 55108, USA
4. 浙江大学生物系统工程与食品科学学院，浙江 杭州 310058
Non-Destructive Determination of Growth Quality Indicators of Spirulina sp. Using Vis/NIR Spectroscopy
JIANG Lu-lu1, WEI Xuan2, XIE Chuan-qi3*, HE Yong4*
1. Zhejiang Technology Institute of Economy, Hangzhou 310018, China
2. College of Mechanical and Electronic Engineering，Fujian Agriculture and Forestry University，Fuzhou 350002, China
3. Department of Bioproducts and Biosystems Engineering, University of Minnestota, Saint Paul, MN 55108, USA
4. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
Abstract：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.
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