Identification of fine wool and cashmere by using Vis/NIR spectroscopy technology

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 28, Issue 6, 2008, Pages 1260-1263

  Wu, Gui Fang ^a,b   Zhu, Deng Sheng ^c   He, Yong ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b INNER MONGOLIA AGRICULTURAL UNIVERSITY   (China)

^c Jinhua College of Profession and Technology   (China)

Author keywords

BP neural networks; Cashmere; Fine wool; Principal component analysis(PCA); Vis NIR spectroscopy

Indexed keywords

AGRICULTURAL PRODUCTS; ARSENIC COMPOUNDS; BACKPROPAGATION; EXPERIMENTS; FIBER OPTICS; FINANCIAL DATA PROCESSING; FORECASTING; IMAGE CLASSIFICATION; INFRARED SPECTROSCOPY; LAW ENFORCEMENT; NEURAL NETWORKS; QUALITY CONTROL; SPECTROSCOPIC ANALYSIS; SPECTRUM ANALYSIS; STANDARDS; WOOL; WOOL FIBERS; YARN;

ARTIFICIAL NEURAL NETWORK (ANNS); AUTOMATIC RECOGNITION; BACK PROPAGATION (BP); CHALLENGING TASK; FINE WOOL; NEAR INFRA-RED (NIR); NON DESTRUCTIVE; PRE TREATMENT METHODS; PRE TREATMENTS; PRINCIPAL COMPONENT ANALYSIS (PCA); PRINCIPAL COMPONENTS; QUALITATIVE ANALYSIS MODEL; SAVITZKY GOLAY; SCATTER CORRECTIONS; SPECTRA (CO); SPECTRAL DATA; STANDARD NORMAL VARIATE (SNV); VIS/NIR SPECTROSCOPY;

PRINCIPAL COMPONENT ANALYSIS;

ARSENIC COMPOUNDS; DATA PROCESSING; EXPERIMENTATION; FIBER OPTICS; FORECASTS; NEURAL NETWORKS; QUALITY CONTROL; SPECTROCHEMICAL ANALYSIS; STANDARDS; WOOL; YARN;

ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; GOAT; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; SHEEP; WOOL;

ANIMALS; GOATS; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS; SHEEP; SPECTROSCOPY, NEAR-INFRARED; WOOL;

EID: 47049105107     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. PENG Wei-liang, JIANG Yao-xing. Research and Exploration in Laboratory, 2005 24(4): 28.
2. DENG Li-li, JIANG Feng-qin. Journal of Dalian Institute of Light Industry, 2003, 22(3): 203.
3. LIU Qi-guo, HOU Xiu-liang. Journal of Nantong Institute of Technology, 1999, 15(4): 25.
4. PENG Wei-liang, JIANG Yao-xing, YUAN Chang-tai. Shanghai Textile Science and Technology, 2005, 33(11): 11.
5. QIN Shi-zhong. Inspection and Quarantine, 2005, 15(6): 58.
6. Alan M L, Moon S K, Chen Y R, et al. Computers and Electronics in Agriculture, 2006, 54(1): 22.
7. Baye T M, Pearson T C, Settles A M. Journal of Cereal Science, 2006, 43(2): 236.
8. WANG Duo-jia, ZHONG Jiao-e, HU Xiang-na, et al. Chinese Journal of Analytical Chemistry, 2003, 31(7): 892.
9. WANG Duo-jia, ZHOU Xiang-yang, JIN Tong-ming, et al. Spectroscopy and Spectral Analysis, 2004, 24(4): 447.
10. Andersen C M, World J P, Mortensen G. International Diary Journal, 2006, 16: 1483.
11. Lachenmeier D W. Food Chemistry, 2007 101: 825.
12. Carlomagno G, Capozzo L, Attolico G Distante. Infrared Physics and Technology, 2004, 46: 23.
13. Seregély Z, Farkas J, Tuboly E, et al. Chemometrics and Intelligent Laboratory Systems, 2006, 82(1): 115.
14. CHEN Da, WANG Fang, SHAO Xue-guang, et al. Spectroscopy and Spectral Analysis, 2004, 24(6): 672.
15. CHU Xiao-li, YUAN Hong-fu, LU Wan-zhen. Analytical Instrumentation, 2006, (2): 1.
16. TIAN Li-rong, TANG Zhen, LIU Fu-qiang, et al. Analytical Laboratory, 2001, 20(1): 79.
17. HE Yong, LI Xiao-li, SHAO Yong-ni. Spectroscopy and Spectral Analysis, 2006, 26(5): 850.
18. JI Hai-yan, YAN Yan-lu. Journal of Instrumental Analysis, 1999, 18(3): 12.
19. HE Yong, LI Xiao-li. Journal of Infrared and Millimeter Waves, 2006, 25(3): 192.
20. CHU Xiao-li, YUAN Hong-fu, LU Wan-zhen. Progress in Chemistry, 2004, 16(4): 528.