Skip to main content

Data Reconciliation of Release Mechanism Research of LDH-Based Drug

  • Conference paper
Advances in Swarm Intelligence (ICSI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7929))

Included in the following conference series:

  • 2808 Accesses

Abstract

Sebacate pillared layered double hydroxides (LDH) was prepared via co-precipitation method. And then the drug 10-hydroxy-camptothecin (10-HC) was intercalated into the gallery of LDH to form the drug–LDH composites. Three types of dissolution- diffusion kinetics models were used to make clear the drug release mechanism of the LDH composites. For the first time data reconciliation was used to make clear the drug release kinetics mechanism of the LDH composites, which was carried out by using a data filter algorithm based on first-order delay filter and time-delay principle to diminish random experimental errors resulting from the factors including stirring speed, solid content, and so on. Simulation results indicated that the data reconciliation adequately degraded the interactions between drug release rates at different times and made the data satisfy the kinetics models for the drug release mechanism more accurately.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ping, Y.H., Lee, H.C., Lee, J.Y., et al.: Oncol. Rep. 15, 1273–1279 (2006)

    Google Scholar 

  2. Cavani, F., Trifiro, A., Vaccari, C.: Today 11, 173–301 (1991)

    Article  Google Scholar 

  3. Hou, W.G., Su, Y.L., Sun, D.J., et al.: Langmuir 17, 1885–1888 (2001)

    Article  Google Scholar 

  4. Bhaskar, R., Murthy, S.R.S., Miglani, B.D., et al.: Int. J. Pharm. 28, 59–66 (1986)

    Article  Google Scholar 

  5. Yang, J.H., Han, Y.S., Park, M., et al.: Chem. Mater. 19, 2679 (2007)

    Article  Google Scholar 

  6. Kodama, T., Harada, Y., Ueda, M., et al.: Langmuir 17, 4881 (2001)

    Article  Google Scholar 

  7. Nie, S.L., Wen, J.D., Li, Y.P., et al.: Optimization and Engineering (2001), doi:10. 1007/ s11081-011-9147-1

    Google Scholar 

  8. Cervantes, J., López, A., García, F., Trueba, A.: A Fast SVM Training Algorithm Based on a Decision Tree Data Filter. In: Batyrshin, I., Sidorov, G. (eds.) MICAI 2011, Part I. LNCS, vol. 7094, pp. 187–197. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  9. Zhong, R.X., Yang, Z.: Asian J. of Control 8(1), 36–44 (2006)

    Article  MathSciNet  Google Scholar 

  10. Gao, L., Liu, X.M., Gu, X.S.: J. of Qingdao Technological University 31(3), 88–93 (2010) (in Chinese)

    Google Scholar 

  11. Tyner, K.M., Schiffman, S.R., Giannelis, E.P.: J. Control. Release 95, 501–514 (2004)

    Article  Google Scholar 

  12. Lun, D., Yan, L., Hou, W.G., Liu, S.J.: J. Solid State Chemistry 183, 1811–1816 (2010)

    Article  Google Scholar 

  13. Yang, J.H., Han, Y.S., Park, M., et al.: Chem. Mater. 19, 2679 (2007)

    Article  Google Scholar 

  14. Panda, H.S., Srivastava, R., Bahadur, D.: J. Phys. Chem. 113, 15090–15100 (2009)

    Google Scholar 

  15. Pan, D.K., Zhang, H., Zhang, T., et al.: Chemical Engineering Science 65, 3762–3771 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, X. (2013). Data Reconciliation of Release Mechanism Research of LDH-Based Drug. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_63

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38715-9_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38714-2

  • Online ISBN: 978-3-642-38715-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics