Near infrared spectroscopic (NIRS) analysis of drug-loading rate and particle size of risperidone microspheres by improved chemometric model

Jia Song, Jing Xie, Chenliang Li, Jia Hui Lu, Qing Fan Meng, Zhaogang Yang, Robert J. Lee, Di Wang, Le Sheng Teng

Research output: Contribution to journalArticle

28 Scopus citations

Abstract

Microspheres have been developed as drug carriers in controlled drug delivery systems for years. In our present study, near infrared spectroscopy (NIRS) is applied to analyze the particle size and drug loading rate in risperidone poly(d,l-lactide-co-glycolide) (PLGA) microspheres. Various batches of risperidone PLGA microspheres were designed and prepared successfully. The particle size and drug-loading rate of all the samples were determined by a laser diffraction particle size analyzer and high performance liquid chromatography (HPLC) system. Monte Carlo algorithm combined with partial least squares (MCPLS) method was applied to identify the outliers and choose the numbers of calibration set. Furthermore, a series of preprocessing methods were performed to remove signal noise in NIR spectra. Moving window PLS and radical basis function neural network (RBFNN) methods were employed to establish calibration model. Our data demonstrated that PLS-developed model was only suitable for drug loading analysis in risperidone PLGA microspheres. Comparatively, RBFNN-based predictive models possess better fitting quality, predictive effect, and stability for both drug loading rate and particle size analysis. The correlation coefficients of calibration set (Rc 2) were 0.935 and 0.880, respectively. The performance of optimum RBFNN models was confirmed by independent verification test with 15 samples. Collectively, our method is successfully performed to monitor drug-loading rate and particle size during risperidone PLGA microspheres preparation.

Original languageEnglish (US)
Pages (from-to)296-303
Number of pages8
JournalInternational Journal of Pharmaceutics
Volume472
Issue number1-2
DOIs
StatePublished - Sep 10 2014
Externally publishedYes

Keywords

  • Microspheres
  • Near infrared spectroscopy
  • Partial least squares
  • Radical basis function neural network
  • Risperidone

ASJC Scopus subject areas

  • Pharmaceutical Science

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