Study on the echinococcosis blood serum detection based on Raman spectroscopy combined with neural network
CSTR:
Author:
Affiliation:

1. School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China;2. School of Electrical Engineering, Tianjin University of Technology, Tianjin 300384, China;3. Xinjiang Key Laboratory of Echinococcosis, Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830000,China;4. Physics and Chemistry Detecting Center, Xinjiang University, Urumqi 830046, China;5. Institute of Health and Environmental Medicine, Academy of Military Medical Science, Tianjin 300050, China

  • Article
  • | |
  • Metrics
  • |
  • Reference [18]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    A Raman spectroscopy method combined with neural network is used for the invasive and rapid detection of echinococcosis. The Raman spectroscopy measurements are performed on two groups of blood serum samples, which are from 28 echinococcosis patients and 38 healthy persons, respectively. The normalized Raman reflection spectra show that the reflectivity of the echinococcosis blood serum is higher than that of the normal human blood serum in the wavelength ranges of 101—175 nm and 1 801—2 701 nm. Then the principal component analysis (PCA) and back propagation neural network (BPNN) model are used to obtain the diagnosis results. The diagnosis rates for healthy persons and echinococcosis persons are 93.333 3% and 90.909 1%, respectively, so the average final diagnosis rate is 92.121 2%. The results demonstrate that the Raman spectroscopy analysis of blood serum combined with PCA-BPNN has considerable potential for the non-invasive and rapid detection of echinococcosis.

    Reference
    [1] W. Kratzer, B. Gruener, T. E. Kaltenbach, S. Ansari-Bitzenberger, P. Kern, M. Fuchs, R. A. Mason, T. F. Barth, M. M. Haenle, A. Hillenbrand, S. Oeztuerk and T. Graeter, World Journal of Gastroenterology 21, 12392 (2015).
    [2] M. Bulakci, M. Ilhan, S. Bademler, E. Yilmaz, M. Gulluoglu, A. Bayraktar, M. Asik and R. Guloglu, Parasite 23, 19 (2016).
    [3] Carita P., Verdecchia M., Ferro G., Buccheri D., Corrado E., Novo S. and Pontone G., International Journal of Cardiology 221, 468 (2016).
    [4] Sascha Kahlfu?, Robert Rainer Flieger, Torsten Kai Roepke and Kadir Yilmaz, Heart 102, 1348 (2016).
    [5] Daniela Pagnozzi, Maria Filippa Addis, Grazia Biosa, Anna Maria Roggio, Vittorio Tedde, Mara Mariconti, Francesca Tamarozzi, Valeria Meroni, Gabriella Masu, Giovanna Masala, Enrico Brunetti and Sergio Uzzau, Plos Neglected Tropical Diseases 10, e0004585 (2016).
    [6] Swinson B., Jerjes W., El-Maaytah W., Norris P. and Hopper C., Oral Oncology 42, 221 (2006).
    [7] Anna Perrone, Luisa Tesoriere, Anna Maria Pintaudi, Alessandro Attanzio, Paolo Rigano, Aurelio Maggio and Maria Antonietta Livrea, Thalassemia Reports 4, 38 (2014).
    [8] Lin Jin-yong, Zeng Yong-yi, Lin Ju-qiang, Wang Jing, Li Ling, Huang Zu-fang, Li Bu-hong, Zeng Hai-shan and Chen Rong, Applied Physics Letters 104, 104102 (2014).
    [9] Narahara Chari Dingari, Ishan Barman, Anushree Saha, Sasha McGee, Luis H. Galindo, Wendy Liu, Donna Plecha, Nina Klein, Ramachandra Rao Dasari and Maryann Fitzmaurice, Journal of Biophotonics 6, 371 (2013).
    [10] Li Shao-xin, Chen Gong, Zhang Yan-jiao, Guo Zhou-yi, Liu Zhi-ming, Xu Jun-fa, Li Xue-qiang and Lin Lin, Optics Express 22, 25895 (2014).
    [11] Huang Shao-hua, Wang Lan, Chen Wei-sheng, Feng Shang-yuan, Lin Ju-qiang, Huang Zu-fang, Chen Guan-nan, Li Bu-hong and Chen Rong, Laser Physics Letters 11, 115604 (2014).
    [12] Peng Yi-jie, Liu Mu-hua, Zhao Jin-hui, Yuan Hai-chao, Hong Qian and Li Yao, Journal of Optoelectronics.Laser 26, 740 (2015). (in Chinese)
    [13] Li Xiao-feng, Jia Xiu-ping, Wang Li-guo and Zhao Kai, IEEE Transactions on Geoscience & Remote Sensing 53, 4985 (2015).
    [14] Jermyn M., Desroches J. and Mercier J., Journal of Biomedical Optics 21, 094002 (2016).
    [15] Martin S. and Choi C., IEEE Transactions on Magnetics 52, 1 (2015).
    [16] Huang Xing-yi, Xu Hai-xia, Wu Lei, Dai Huang, Yao Liya and Han Fang-kai, Analytical Methods 8, 2929(2016).
    [17] Bai Peng-li, Zhang Zhong-hu, Yin Hua-cai and Gao Jing, Chinese Journal of Light Scattering 28, 164 (2016). (in Chinese)
    [18] Tianzhen, Hao Xu, Jingang Han, Elhoussin Elbouchikhi and Mohamed El Hachemi Benbouzid, IEEE Transactions on Power Electronics 30, 7006 (2015).
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

CHENG Jin-ying, XU Liang, Lü Guo-dong, TANG Jun, MO Jia-qing, Lü Xiao-yi, GAO Zhi-xian. Study on the echinococcosis blood serum detection based on Raman spectroscopy combined with neural network[J]. Optoelectronics Letters,2017,13(1):77-78

Copy
Share
Article Metrics
  • Abstract:3880
  • PDF: 0
  • HTML: 0
  • Cited by: 0
History
  • Received:November 29,2016
  • Online: January 11,2017
Article QR Code