中文摘要:本文的研究目标是采用可见/近红外高光谱成像和显微拉曼光谱技术进行农药(草甘膦、丁草胺)种类的无损识别。这两种方法主要是通过观察农药施用后蛋白核小球藻内部元素或特征变化并进行农药识别。本文采用连续投影算法确定出七个最有效的波长,应用线性判别分析模型确立农药品种分类,建立了SPA-LDA模型,该模型的分辨正确率高达100%。使用显微拉曼光谱技术确立最佳处理方法。结果显示,可见/近红外高光谱成像和显微拉曼光谱技术均可以间接有效地进行农药种类识别,连续投影算法是进行波长提取的有效方法,敏感波长有助于识别不同的农药。
外文摘要:The main goal of this research is to examine the feasibility of applying Visible/Near-infrared hyper spectral imaging (Vis/NIR-HSI) and Raman microspectroscopy technology for non-destructive identification of pesticide varieties (glyphosate and butachlor). Both mentioned technologies were explored to investigate how internal elements or characteristics of Chlorella pyrenoidosa change when pesticides are applied, and in the meantime, to identify varieties of the pesticides during this procedure. Successive projections algorithm (SPA) was introduced to our study to identify seven most effective wavelengths. With those wavelengths suggested by SPA, a model of the linear discriminant analysis (LDA) was established to classify the pesticide varieties, and the correct classification rate of the SPA-LDA model reached as high as 100%. For the Raman technique, a few partial least squares discriminant analysis models were established with different preprocessing methods from which we also identified one processing approach that achieved the most optimal result. The sensitive wavelengths (SWs) which are related to algae's pigment were chosen, and a model of LDA was established with the correct identification reached a high level of 90.0%. The results showed that both Vis/NIR-HSI and Raman micro spectroscopy techniques are capable to identify pesticide varieties in an indirect but effective way, and SPA is an effective wavelength extracting method. The SWs corresponding to microalgae pigments, which were influenced by pesticides, could also help to characterize different pesticide varieties and benefit the variety identification. (C) 2016 Elsevier Ltd. All rights reserved.
外文关键词:Visible/Near-infrared hyperspectral imaging, Raman microspectroscopy, Pesticide varieties, Successive projections algorithm, Linear discriminant analysis
作者:Shao, Yongni; Li, Yuan; Jiang, Linjun; Pan, Jian; He, Yong; Dou, Xiaoming
作者单位:Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou 310058, Zhejiang, Peoples R China.
期刊名称:WATER RESEARCH
期刊影响因子:5.991
出版年份:2016
出版刊次:11
点击下载:采用可见/近红外高光谱成像和显微拉曼光谱技术进行农药种类鉴定