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CAS IR Grid
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长春光学精密机械与物... [5]
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OAI收割 [5]
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会议论文 [5]
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2011 [1]
2010 [1]
2006 [3]
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Design of programmable near infrared cold light source (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Electronics and Optoelectronics, ICEOE 2011, July 29, 2011 - July 31, 2011, Dalian, China
作者:
Fu Q.
;
Wang B.
;
Wang B.
;
Wang R.
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2013/03/25
In the near infrared spectroscopy
detector of Charge-coupled Device requires very high stability for light source. We design the cold light source in the measurement of near infrared spectroscopy. Cold light source consists of high-power op amp OPA549 high current constant current source and proportion integral differential (PID) control algorithm. As is shown in the experimental results
the method is better
the overshoot is very small
the stability is excellent in the process of soft-start. While light intensity was able to meet the requirements of near-infrared instruments to measure. 2011 IEEE.
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.
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  |  
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.
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.
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  |  
浏览/下载:36/0
  |  
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.
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.
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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.
The study on the temperature influence of the grain near infrared spectrum analysis (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:
Zhang J.
;
Chen X.
;
Chen X.
;
Chen X.
;
Zhang J.
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  |  
浏览/下载:24/0
  |  
提交时间:2013/03/25
Near-infrared spectroscopy was used to examine unmodified wheat powder at temperatures of 14-65C. A self-regulating diffuse reflected assembly was used to permit collection of spectra of powder samples. Changes to the shape and peak location of the 1400-1500nm and 1900-1950nm water absorption bands
2000-2050
2070-2110 and 2250-2300nm bands were measured as temperature varied. Results indicated that temperature changes resulted in slight changes to the water absorption bands in 1400-1500nm and 1900-1950nm regions. From 14-65C
the 1400-1500nm and 2050-2150nm band shifted approximately 10nm and 16nm toward shorter wavelengths
and 2000-2050nm band shifted approximately 14nm toward longer wavelengths. In addition few numbers of samples cannot constitute good temperature insensitive calibration model even though the spectra were obtained at wide temperature condition.