Determination of hesperidin content in guogongjiu medicinal wine based on NIR spectrometry and least squares support vector machines

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

Volumn 29, Issue 9, 2009, Pages 2471-2474

  Zhu, Xiang Rong ^a,c   Shan, Yang ^a   Li, Gao Yang ^a   Fan, Qiang ^b   Shi, Xin Yuan ^b   Qiao, Yan Jiang ^b   Zhang, Zhuo Yong ^c  

^a Hunan Provincial Research Institute of Agricultural Product Processing   (China)

^b BEIJING UNIVERSITY OF CHINESE MEDICINE   (China)

^c CAPITAL NORMAL UNIVERSITY   (China)

Author keywords

Guogongjiu medical wine; Hesperidin; Least squares support vector machines; Near infrared spectroscopy

Indexed keywords

CROSS VALIDATION; FIRST DERIVATIVE; GUOGONGJIU MEDICAL WINE; HESPERIDIN; LEAST SQUARES SUPPORT VECTOR MACHINES; NIR SPECTROMETRY; NIR SPECTRUM; NON DESTRUCTIVE; PARTIAL LEAST SQUARES; PRE-TREATMENT; PRETREATMENT METHODS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RELATIVE DEVIATIONS; ROOT MEAN SQUARE ERRORS; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; SECOND DERIVATIVES; TRAINING SETS;

BLOCK CODES; IMAGE RETRIEVAL; INFRARED DEVICES; MEAN SQUARE ERROR; MULTILAYER NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SPECTROSCOPIC ANALYSIS; SUPPORT VECTOR MACHINES; TEXTILES; TWO PHASE FLOW; VECTORS; WINE;

INFRARED SPECTROSCOPY;

HESPERIDIN;

ALGORITHM; ANALYSIS; ARTIFICIAL NEURAL NETWORK; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE; WINE;

ALGORITHMS; HESPERIDIN; LEAST-SQUARES ANALYSIS; NEURAL NETWORKS (COMPUTER); SPECTROSCOPY, NEAR-INFRARED; SUPPORT VECTOR MACHINES; WINE;

EID: 70249133741     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: 10.3964/j.issn.1000-0593(2009)09-2471-04     Document Type: Article

References (21)

1. PAN Yong-feng. Chinese Traditional Patent Medicine, 1995, 17 (4): 7.
2. FAN Guo-qiang, BIAN Mu-tang, LIU Zhen-hua. Chinese Traditional Patent Medicine, 1992, 14 (7): 14.
3. ZHANG Shao-lai, ZHANG Wei-jun, XIA Rong. Chinese Journal of Experimental Traditional Medical Formulae, 2000, 6 (3): 12.
4. WEI Hong-qing, LIU Er-bao, JI Hai-bin. Journal of Shijiazhuang University, 2005, 7 (3): 1.
5. Pharmacopoeia Committe of Ministry of Health, the People's Republic of China. Pharmacopoeia of the People's Republic of China (Volume 1). Beijing: Chemical Industry Press, 2005.
6. Chan C O, Chu C C, Daniel K W M, et al. Analytica Chimica Acta, 2007, 592: 121.
7. YU Ke, HU Chu-chu, CHENG Yi-yu. Chinese Pharmaceutical Journal, 2006, 41 (3): 226.
8. YE Zheng-liang, YU Ke, CHENG Yi-yu. Chemical Journal of Chinese Universities, 2007, 28 (3): 441.
9. Suykens J A K, Vandewalle J. Neural Processing Letters, 1999, 9 (3): 293.
10. Van Gestel T, Suykens J A K, Baesens B, et al. Machine Learning, 2004, 54 (1): 5.
11. Caballero J, Fernández L, Garriga M, et al. Journal of Molecular Graphics and Modeling, 2007, 26 (1): 166.
12. Ali N, Saeed J B, Davood N S. Journal of Hazardous Materials, 2008, 151 (2-3): 603.
13. Polat K, Gunes S. Applied Mathematics and Computation, 2007, 190: 1574.
14. Polat K, Gunes S. Applied Mathematics and Computation, 2007, 186: 898.
15. Zhu D Z, Ji B P, Meng C Y. Chemometrics and Intelligent Laboratory Systems, 2008, 90: 108.
16. Liu F, He Y, Wang L. Analytica Chimica Acta, 2008, 615 (1): 10.
17. Liu F, He Y, Wang L. Analytica Chimica Acta, 2008, 610 (2): 196.
18. Li C H, Zhu X J, Cao G Y, et al. Journal of Power Sources, 2008, 175 (1): 303.
19. Kang Y W, Li J, Cao G Y, et al. Journal of Power Sources, 2008, 179 (2): 683.
20. Kennard R W, Stone L A. Technometrics, 1969, 11 (1): 137.
21. Nörgaard L, Saudland A, Wagner J. Applied Spectroscopy, 2000, 54: 413.