| 光谱学与光谱分析 |
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| Application of Spectral Imaging Analysis in the Sibship Discussion of Folium Uncariae |
| MENG Qing-xia1，PANG Qi-chang1*，MA Ji2，ZHANG Hong-wei2, ZHAO Jing1, 3 |
1. Department of Physics, Department of Optoelectronic Engineering, Jinan University, Guangzhou 510630, China
2. College of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China
3. Department of Applied Physics, South China Agricultural University, Guangzhou 510640, China |
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Abstract In the present paper, using designed liquid crystal spectral imaging device, the transmission spectra of leaves of uncaria were detected and analysed under different environmental situations. The characteristic curve was drawn and the imaging characteristic spectrum was constructed and cluster analysis was performed. The results showed the similarity of imaging characteristic spectrum of uncaria leaves and the results of determining genetic relationship in cluster analysis were consistent with the results of the identification of plant taxonomy. Spectral imaging analysis techniques can be applied to discuss the genetic relationship of uncaria. The liquid crystal spectral imaging system can detect traditional Chinese medicine rapidly and nondestructively. The same sample can be used to repeat several experiments. Experimental operation is simple and quick. It can provide a new detection method for Chinese medicine.
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Received: 2010-05-10
Accepted: 2010-08-20
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Corresponding Authors:
PANG Qi-chang
E-mail: tpqch@jnu.edu.cn; majilx@yahoo.com.cn
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[1] Pharmacopoeia Committee of the Ministry of Health. The People’s Republic of China Pharmacopoeia. Volume Beijing: Chemical Industry Press，2005. 180.
[2] Flora of China Editorial Committee of Chinese Academy of Sciences. “Flora of China”((Volume 70). Beijing: Science Press, 1999. 247.
[3] Wu Telin Editor. Guangdong Flora(Volume 6). Guangzhou: Guangdong Science and Technology Press, 2005. 155.
[4] ZHANG Yu, ZHAO Yuan, WU Xiao-min, et al(张 宇，赵 远，吴晓敏, 等). Laser Technology(激光技术), 2007, 31(2): 189.
[5] SUN Bo, YANG Wei-ping, HOU De-dong, et al(孙 波，杨卫平，侯德东, 等). Journal of Yunnan Normal University(云南师范大学学报), 2008, 28(2): 32.
[6] FAN Shi-fu, XIAO Song-shan, ZHAO You-quan, et al(范世福，肖松山，赵友全, 等). Modern Scientific Instruments(现代科学仪器), 2005, (1): 60.
[7] ZHAO Jing, PANG Qi-chang, MA Ji, et al(赵 静, 庞其昌, 马 骥, 等). Acta Photonica Sinica(光子学报)，2008, 37: 758.
[8] ZHONG Yun, FENG Rui-zhi(仲 耘, 冯瑞芝). Bulletin of Botanical Research(植物研究), 1996，16(1): 67.
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