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	A hybrid study of multiple contributors to per capita household CO2 emissions (HCEs) in China 期刊论文 OAI收割 environmental science and pollution research, 2015, 期号: 12, 页码: dio10.1007/s11356-015-5856-x 作者: Jiansheng Qu（曲建升）; Shanshan Qin（秦珊珊）; Lina Liu（刘莉娜）; Jingjing Zeng（曾静静）; Yue Bian（边悦）收藏 \| 浏览/下载：50/0 \| 提交时间：2015/12/09 Household CO2 emissions (HCEs) Driving factors Correlation analysis (CA) Gray correlation analysis (GCA) Principle component regression (PCR)
	Fast determination of total ginsenosides content in Ginseng powder by near infrared reflectance spectroscopy (EI CONFERENCE) 会议论文 OAI收割 ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China 作者: Chen X.-D.; Chen X.-D. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 Near infrared (NIR) reflectance spectroscopy was used to develop a fast determination method for total ginsenosides in Ginseng (Panax Ginseng) powder. The spectra were analyzed with multiplicative signal correction (MSC) correlation method. The best correlative spectra region with the total ginsenosides content was 1660 nm1880 nm and 2230nm-2380 nm. The NIR calibration models of ginsenosides were built with multiple linear regression (MLR) principle component regression (PCR) and partial least squares (PLS) regression respectively. The results showed that the calibration model built with PLS combined with MSC and the optimal spectrum region was the best one. The correlation coefficient and the root mean square error of correction validation (RMSEC) of the best calibration model were 0.98 and 0.15% respectively. The optimal spectrum region for calibration was 1204nm-2014nm. The result suggested that using NIR to rapidly determinate the total ginsenosides content in ginseng powder were feasible.