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CAS IR Grid
机构
上海药物研究所 [3]
力学研究所 [1]
长春光学精密机械与物... [1]
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昆明植物研究所 [1]
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OAI收割 [7]
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期刊论文 [5]
会议论文 [2]
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2021 [1]
2015 [1]
2012 [1]
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Agricultur... [1]
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Quantitative and fingerprint analysis of proanthocyanidins and phenylpropanoids in Cinnamomum verum bark, Cinnamomum cassia bark, and Cassia twig by UPLC combined with chemometrics
期刊论文
OAI收割
EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2021, 页码: 12
作者:
Liu, Chen
;
Long, Huali
;
Wu, Xingdong
;
Hou, Jinjun
;
Gao, Lei
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2021/11/04
Cinnamomum verum bark
Cinnamomum cassia bark
Cassia twig
Fingerprints
Two internal standards for determination of multiple components
Chemometric
Advance in Studies on Synchronized Release of Multiple Components from Sustained-release Preparations of Chinese Materia Medica for Oral Administration
期刊论文
OAI收割
Chinese Journal of Experimental Traditional Medical Formulae, 2015, 卷号: 21, 期号: 3, 页码: 213-216
作者:
Zhao Chunbao
;
Jiang Weixin
;
Cheng Bin
;
Li Zhixiong
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/01/08
Chinese materia medica
oral administration
sustained-release preparations
release synchronicity of multiple components
evaluation methods
Statistical Analysis of Leaf Water Use Efficiency and Physiology Traits of Winter Wheat Under Drought Condition
期刊论文
OAI收割
JOURNAL OF INTEGRATIVE AGRICULTURE, 2012, 卷号: 11, 期号: 1, 页码: 82-89
Wu Xiao-li
;
Bao Wei-kai
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2013/07/03
leaf water use efficiency
multiple linear regression
path analysis
principal components
simple correlation
stepwise regression
wheat genotype
DPD simulation of multiphase flow at small scales
会议论文
OAI收割
2nd International Conference on Computer and Automation Engineering, ICCAE 2010, Singapore, Singapore, February 26, 2010 - February 28, 2010
作者:
Liu MB(刘谋斌)
;
Chang JZ(常建忠)
;
Liu HT
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2017/06/20
Complex geometries
Dissipative particle dynamics
Gas phasis
Grid-based
Lagrangian particle method
Mesoscale
Micro-scale
Micro-scales
Moving interface
Multi-phase fluid flow
Multiphase fluid motion
Multiple components
Numerical example
Particle-particle interactions
Single components
Small scale
Two-component
Viscosity contrast
Weight functions
Multidimensional spatial triangular area as an index for the evaluation of the release-absorption correlation of multiple component traditional Chinese medicines
期刊论文
OAI收割
Acta Pharmaceutica Sinica, 2010, 卷号: 45, 期号: 7, 页码: 895-900
作者:
Li Haiyan
;
Gu Jingkai
;
Guo Zhen
;
Shi Senlin
;
Zhang Jiwen
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/01/08
traditional Chinese medicine
multiple components release
multiple components absorption
in vitro-in vivo correlation
Climatic envelope of evergreen sclerophyllous oaks and their present distribution in the eastern Himalaya and Hengduan Mountains
期刊论文
OAI收割
JOURNAL OF SYSTEMATICS AND EVOLUTION, 2009, 卷号: 47, 期号: 3, 页码: 183-190
作者:
Yang, Qing-Song
;
Chen, Wen-Yun
;
Xia, Ke
;
Zhou, Zhe-Kun
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2012/07/25
climatic indices
distribution limits
multiple regression analysis
principal components analysis
Quercus section Heterobalanus
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:37/0
  |  
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.