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The Asian Regional Conference on 2DCOS(2DCOS-2014)
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《Chinese Chemical Letters》 SCIE CAS CSCD 2015年第2期F0002-F0002,共1页
Sponsored by college of chemistry and molecular engineering, Peking University and Thermo Fisher Scientific, The Asian Regional Conference on 2DCOS (2DCOS-2014) was held (19, April, 2014 - 20, April, 2014) at the ... Sponsored by college of chemistry and molecular engineering, Peking University and Thermo Fisher Scientific, The Asian Regional Conference on 2DCOS (2DCOS-2014) was held (19, April, 2014 - 20, April, 2014) at the beautiful campus of Peking University. Prof. lsao Noda, 展开更多
关键词 The Asian Regional Conference on 2dcos
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二维相关光谱在大米中甲基毒死蜱特征变量优选的应用 被引量:4
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作者 胡潇 黄俊仕 +4 位作者 朱晓宇 刘鹏 吴瑞梅 邱霞 艾施荣 《分析测试学报》 CAS CSCD 北大核心 2019年第8期946-952,共7页
为提高大米中农药残留的表面增强拉曼光谱(SERS)快速检测精度,提出采用二维相关光谱(2DCOS)对大米拉曼光谱进行农药特征变量优选。首先,采用标准正态变量变换(SNV)对原始光谱预处理,再以甲基毒死蜱浓度为外扰,进行二维相关同步光谱和自... 为提高大米中农药残留的表面增强拉曼光谱(SERS)快速检测精度,提出采用二维相关光谱(2DCOS)对大米拉曼光谱进行农药特征变量优选。首先,采用标准正态变量变换(SNV)对原始光谱预处理,再以甲基毒死蜱浓度为外扰,进行二维相关同步光谱和自相关谱解析,筛选出与甲基毒死蜱浓度变化最相关的特征谱峰,建立了大米中甲基毒死蜱残留浓度的支持向量机(SVM)分析模型,并与偏最小二乘(PLS)模型进行性能比较。结果表明,2DCOS方法能很好地筛选出与甲基毒死蜱浓度相关的特征谱峰;利用2DCOS优选出的4个甲基毒死蜱特征谱峰所建立的SVM模型性能优于PLS的实验结果,模型对预测集样本相关系数(RP)为0.96,均方根误差(RMSEP)为5.21,相对分析误差(RPD)为3.66,可用于大米中甲基毒死蜱农药残留的实际估测。研究表明,采用2DCOS优选大米中甲基毒死蜱浓度相关的特征变量是可行的,且能简化模型,提高模型预测精度,从而为拉曼光谱用于食品农产品质量安全的快速检测提供了一种新思路。 展开更多
关键词 表面增强拉曼光谱(SERS) 二维相关光谱(2dcos) 特征变量优选 快速检测 大米 甲基毒死蜱
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Evolution of Two-Dimensional Correlation Spectroscopy
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作者 Isao Noda 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2016年第S1期3-4,共2页
A number of useful techniques associated with two-dimensional correlation spectroscopy(2DCOS)to improve its performance and utility have been developed in the last 30years.Evolution of these 2DCOS techniques,including... A number of useful techniques associated with two-dimensional correlation spectroscopy(2DCOS)to improve its performance and utility have been developed in the last 30years.Evolution of these 2DCOS techniques,including some of the very recent developments,is reviewed with examples.Topics include merged or modified asynchronous 2Dcorrelation spectrum,two-dimensional codistribution spectroscopy(2DCDS),Pareto scaling,and null-space projection treatment of spectral dataset. 展开更多
关键词 Two-dimensional correlation spectroscopy 2dcos 2DCDS Merged 2D Pareto scaling Nullspace projection
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Characterizing PM2.5 in Beijing and Shanxi Province using terahertz radiation
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作者 Ning LI Honglei ZHAN +3 位作者 Kun ZHAO Zhenwei ZHANG Chenyu LI Cunlin ZHANG 《Frontiers of Optoelectronics》 EI CSCD 2016年第4期544-548,共5页
Particles of aerodynamic diameter〈2.5 pm (PM/.5) caused extremely severe and persistent haze pollution is of concern in many cities. In this study, samples of PM2.5 were collected from atmosphere environment of Bei... Particles of aerodynamic diameter〈2.5 pm (PM/.5) caused extremely severe and persistent haze pollution is of concern in many cities. In this study, samples of PM2.5 were collected from atmosphere environment of Beijing and Shanxi Province, and analyzed using terahertz (THz) radiation. The transmission spectrum of PM2.5 in Shanxi Province had two distinct absorption peaks at 6.0 and 6.7 THz, and the curve was increasing on the whole. However, the transmission spectrum of PMa.5 in Beijing had obviously different variation tendency and the absorption peak was studied by monitoring PM2.5 masses in conjunction with two-dimensional correlation spectro- scopy (2DCOS). By comparing the pollutant species and concentrations of Shanxi Province and Beijing over the time of collecting samples, the concentrations of sulfate and ammonium were similar, which contributed to emerge absorption bands in the same position. While the concentrations of organic matter (OM), nitrate, chloride and elemental carbon (EC) were different. Furthermore, dust and some other inorganic ion are unique to Shanxi province, which lead to different variation tendency of the transmission spectrum of PM2.5. These results will be of importance for environmental monitoring and for control- ling PM emissions. According to this research, optical techniques, and especially spectral methods, should be considered for PM2.5 monitoring. 展开更多
关键词 PM2.5 TERAHERTZ two dimensional correlationspectroscopy 2dcos
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