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作 者:王睿璇 谭智勇[1,2,3] 曹俊诚 WANG Rui-xuan;TAN Zhi-yong;CAO Jun-cheng(Shanghai Institute of Microsystem and Information Technology,ChineseAcademy of Sciences,Shanghai 200050,China;State Key Laboratory of Materials for Integrated Circuits,Shanghai 200050,China;Center of Materials Science and Optoelectronics Engineering,University ofChinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]中国科学院上海微系统与信息技术研究所,上海200050 [2]集成电路材料全国重点实验室,上海200050 [3]中国科学院大学材料与光电研究中心,北京100049
出 处:《红外》2024年第9期44-52,共9页Infrared
基 金:国家自然科学基金项目(61927813,61991432)。
摘 要:光谱分析是研究太赫兹(THz)辐射与物质相互作用的重要手段。采用全光纤式THz时域光谱(THz Time-Domain Spectroscopy,THz-TDS)系统测试了不同含量甜蜜素样品的透过率光谱,发现甜蜜素的特征吸收峰位置在1.4 THz和1.7 THz附近;采用主成分分析结合支持向量机(PCA-SVM)的方法建立了甜蜜素含量回归模型,然后将其预测结果与遗传算法结合偏最小二乘(GA-PLS)模型进行分析比较,并引入决定系数(R 2)和预测均方根误差(RMSE)来评价建模效果,对以10%含量梯度制作的样品集进行检测。研究结果表明,采用PCA-SVM、SVM和GA-PLS方法建立的预测模型的RMSE分别为1.885%、1.926%和2.432%。因此,PCA-SVM方法的预测效果最优,且预测数据与实际数据均表现出良好的相关性,获得了效果良好的含量回归预测模型,为甜蜜素含量的检测与分析提供了一种有效手段。Spectral analysis is an important means of studying the interaction between THz radiation and matter.The transmittance spectra of samples with different levels of saccharin are tested using an all-fiber THz-TDS system,and it is found that the characteristic absorption peaks of saccharin are located around 1.4 THz and 1.7 THz.PCA-SVM method is used to establish the regression model of saccharin content,and the prediction results are analyzed and compared with the GA-PLS model.Correlation coefficients and RMSE are introduced to evaluate the modeling effect,and the sample set made with a 10%content gradient is tested.The research results show that the RMSE of the prediction models established using PCA-SVM,SVM and GA-PLS methods are 1.885%,1.926%and 2.432%,respectively.Therefore,the PCA-SVM method has the best prediction performance,and the predicted data show a good correlation with the actual data.A content regression prediction model with good performance is obtained,which provides an effective means for the detection and analysis of saccharin content.
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