1.杭州电子科技大学 生命信息与仪器工程学院, 浙江 杭州 310018
2.School of Technology and Health, KTH Royal Institute of Technology, Stockholm 999027, Sweden
3.新疆医科大学 附属肿瘤医院经管办, 新疆 乌鲁木齐 830011
Rapid Detection for Toxic Capsules with Chromium Based on Hyperspectral Imaging Technology
1. Hangzhou Dianzi University, College of Life Information Sci & Instrument Eng, Hangzhou, Zhejiang 310018, China
2. School of Technology and Health, KTH Royal Institute of Technology, Stockholm 999027, Sweden
3. Cancer Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830011, China
Abstract：The rapid detection method of chromium content in medicinal capsules based on hyperspectral imaging was studied. Firstly, analysis of medical empty hard gelatin capsule was used as the control group by traditional atomic absorption spectroscopy. Then, the hyperspectral data of 1048 samples were analyzed by dimensionality reduction and qualitative analysis. Finally, the partial least squares discriminant analysis method was used to process the spectral data. If 4 LV are as input features in the partial lease squares discrimination analysis model, the classification accuracy reached 100%, the correlation coefficient of cross validation and sample prediction are 0.923 and 0.972, respectively. Sensitivity and specificity are both 100%.
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2017, Vol. 38 
