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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]
物理研究所 [1]
地理科学与资源研究所 [1]
上海药物研究所 [1]
烟台海岸带研究所 [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
2023 [1]
2022 [1]
2018 [1]
2010 [2]
2006 [1]
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Comprehensive quality evaluation of processed Scrophulariae Radix from different regions of China using HPLC coupled with chemometrics methods
期刊论文
OAI收割
PHYTOCHEMICAL ANALYSIS, 2023, 页码: 14
作者:
Zhang, Mina
;
Chen, Kaixian
;
Wang, Pan
;
Zhang, Liuqiang
;
Li, Yiming
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2023/04/10
chemometrics methods
HPLC-DAD
multiple simultaneous determination
processing methods
Scrophulariae Radix
Criteria for assessing carbon emissions peaks at provincial level in China
期刊论文
OAI收割
ADVANCES IN CLIMATE CHANGE RESEARCH, 2022, 卷号: 13, 期号: 1, 页码: 131-137
作者:
Wang, Min
;
Wang, Peng
;
Wu, Liang
;
Yang, Ru -Pu
;
Feng, Xiang-Zhao
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/09/21
Carbon emission peak (CEP)
Influencing factors
Determination methods
Stage classification
Provincial level
Determination of iron in seawater: From the laboratory to in situ measurements
期刊论文
OAI收割
TALANTA, 2018, 卷号: 188, 页码: 135-144
作者:
Lin, Mingyue
;
Hu, Xueping
;
Pan, Dawei
;
Han, Haitao
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/07/08
Iron
Determination methods
In situ
Seawater
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:28/0
  |  
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.
Direct methods beyond small-molecule crystallography
期刊论文
OAI收割
PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE, 2010, 卷号: 207, 期号: 12, 页码: 2621
Fan, HF
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2013/09/17
RESOLUTION ELECTRON-MICROSCOPY
ANOMALOUS SCATTERING DATA
SINGLE ISOMORPHOUS REPLACEMENT
COMBINING DIRECT-METHODS
INCOMMENSURATE MODULATED STRUCTURES
X-RAY-ANALYSIS
JOINT PROBABILITY-DISTRIBUTION
CRYSTAL-STRUCTURE SOLUTION
PHASE DETERMINATION
STRUCTURE REFINEMENT
The study on the near infrared spectrum technology of sauce component analysis (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Li S.
;
Wang C.
;
Chen X.
;
Chen X.
;
Chen X.
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2013/03/25
The author
Shangyu Li
engages in supervising and inspecting the quality of products. In soy sauce manufacturing
quality control of intermediate and final products by many components such as total nitrogen
saltless soluble solids
nitrogen of amino acids and total acid is demanded. Wet chemistry analytical methods need much labor and time for these analyses. In order to compensate for this problem
we used near infrared spectroscopy technology to measure the chemical-composition of soy sauce. In the course of the work
a certain amount of soy sauce was collected and was analyzed by wet chemistry analytical methods. The soy sauce was scanned by two kinds of the spectrometer
the Fourier Transform near infrared spectrometer (FT-NIR spectrometer) and the filter near infrared spectroscopy analyzer. The near infrared spectroscopy of soy sauce was calibrated with the components of wet chemistry methods by partial least squares regression and stepwise multiple linear regression. The contents of saltless soluble solids
total nitrogen
total acid and nitrogen of amino acids were predicted by cross validation. The results are compared with the wet chemistry analytical methods. The correlation coefficient and root-mean-square error of prediction (RMSEP) in the better prediction run were found to be 0.961 and 0.206 for total nitrogen
0.913 and 1.215 for saltless soluble solids
0.855 and 0.199 nitrogen of amino acids
0.966 and 0.231 for total acid
respectively. The results presented here demonstrate that the NIR spectroscopy technology is promising for fast and reliable determination of major components of soy sauce.