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Rapid Determination of Compound Rifampicin Tablets Using Near Infrared Spectroscopy with Artificial Neural Network

  • Conference paper
Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3980))

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Abstract

This paper has investigated the application of near infrared (NIR) spectroscopy with artificial neural network (ANN) for synchronous and rapid determination of rifampicin, isoniazid and pyrazinamide in compound rifampicin tablets. We have developed Back-Propagation (BP) Networks which adopted Levenberg-Marquardt training algorithm and Log-sigmoid transfer function basing on NIR spectra of samples and contents of rifampicin, isoniazid and pyrazinamide. The degree of approximation, a new evaluation criterion of the network was employed, which proved the accuracy of the predicted results. The BP Networks have been optimized by selecting suitable topologic structure parameters and the best numbers of training. Using these BP Networks for predicting the amounts of rifampicin, isoniazid and pyrazinamide in prediction set, the root mean square error of prediction (RMSEP) are 0.00668, 0.00508 and 0.00680. These results demonstrate that this method is feasible. This method is convenient, rapid, has no pretreatment and no pollution.

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Author information

Authors and Affiliations

  1. College of Life Science, Jilin University, Changchun, 130012, China

    Weiliang Guo, Qingfan Meng, Jiahui Lu, Chaojun Jiang & Lirong Teng

  2. College of Computer Science, Jilin University, Changchun, 130012, China

    Yanchun Liang

Authors
  1. Weiliang Guo
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  2. Qingfan Meng
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  3. Jiahui Lu
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  4. Chaojun Jiang
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  5. Yanchun Liang
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  6. Lirong Teng
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Guo, W., Meng, Q., Lu, J., Jiang, C., Liang, Y., Teng, L. (2006). Rapid Determination of Compound Rifampicin Tablets Using Near Infrared Spectroscopy with Artificial Neural Network. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751540_102

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  • DOI: https://doi.org/10.1007/11751540_102

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34070-6

  • Online ISBN: 978-3-540-34071-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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