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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [2]
合肥物质科学研究院 [2]
金属研究所 [1]
地球环境研究所 [1]
采集方式
OAI收割 [6]
内容类型
期刊论文 [4]
会议论文 [2]
发表日期
2021 [2]
2011 [1]
2010 [1]
2006 [1]
2003 [1]
学科主题
Geology [1]
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Reflectance Spectroscopy with Multivariate Methods for Non-Destructive Discrimination of Edible Oil Adulteration
期刊论文
OAI收割
BIOSENSORS-BASEL, 2021, 卷号: 11
作者:
Su, Ning
;
Weng, Shizhuang
;
Wang, Liusan
;
Xu, Taosheng
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/02/14
oil adulteration
Vis-NIR
reflectance spectroscopy
multivariate analysis
CARS
Rapid Detection of Fatty Acids in Edible Oils Using Vis-NIR Reflectance Spectroscopy with Multivariate Methods
期刊论文
OAI收割
BIOSENSORS-BASEL, 2021, 卷号: 11
作者:
Su, Ning
;
Pan, Fangfang
;
Wang, Liusan
;
Weng, Shizhuang
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/11/01
Vis-NIR reflectance spectroscopy
multivariate analysis
fatty acid
edible oil
quality detection
The Evaluation of Hydrocarbon Potential Generation for Source Rocks by Near-Infrared Diffuse Reflection Spectra
期刊论文
OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 卷号: 31, 期号: 4, 页码: 955-959
作者:
Zhang Yujia
;
Xu Xiaoxuan
;
Song Ning
;
Wu Zhongchen
;
Zhou Xiang
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/02/02
ORTHOGONAL SIGNAL CORRECTION
SPECTROSCOPY
COAL
Source rocks
Hydrocarbon potential generation
Diffuse reflectance
NIR
Qualitative determination of the components of textile products using near infrared spectroscopy (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photonics and Optoelectronics, SOPO 2010, June 19, 2010 - June 21, 2010, Chengdu, China
作者:
Chen X.
;
Chen X.
;
Chen X.
;
Wang D.
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2013/03/25
In the paper
A total of 40 pure or two-mixed textile weaves were prepared and classification of these samples was introduced using near infrared spectroscopy (NIRS)
all textile samples are selected among four classes
which are Cotton-Terylene
Cotton-Polyurethane
Cotton and Terylene
according to theirs components. Near infrared diffuse reflectance spectra of the samples were collected
Mahalanobis distance was used to discriminate the samples coupled with principle components analysis (PCA)
the results showed that near infrared spectroscopy could determine which class one textile weave belongs to easily comparing with traditional methods. In addition
the expectation of the further research on qualitative determination of textile products by NIR technology was discussed in the end of this paper. 2010 IEEE.
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:27/0
  |  
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.
Determining magnetic susceptibility in loess-paleosol sections by near-infrared reflectance spectroscopy
期刊论文
OAI收割
GEOPHYSICAL RESEARCH LETTERS, 2003, 卷号: 30, 期号: 10
作者:
Jin, L
;
Ji, JF
;
Balsam, W
;
Chen, Y
;
Chen, J
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/05/28
loess
magnetic susceptibility
NIR reflectance spectroscopy