Chemometric evaluation of pharmaceutical properties of antipyrine granules by near-infrared spectroscopy

被引:0
|
作者
Makoto Otsuka
Yoshifumi Mouri
Yoshihisa Matsuda
机构
[1] Kobe Pharmaceutical University,Department of Pharmaceutical Technology
关键词
agitating granulating; physical properties; near-infrared spectroscopy; chemomemetrics; principle component regression analysis;
D O I
10.1208/pt040347
中图分类号
学科分类号
摘要
The purpose of this research was to apply near-infrared (NIR) spectroscopy with chemometrics to predict the change of pharmaceutical properties of antipyrine granules during granulation by regulation of the amount of water added. The various kinds of granules (mean particle size, 70–750 μm) were obtained from the powder mixture (1 g of antipyrine, 6 g of hydroxypropylcellulose, 140 g of lactose, and 60 g of potato starch) by regulation of the added water amount (11–19 wt/wt%) in a high-speed mixer. The granules were characterized by mean particle size, angle of repose, compressibility, tablet porosity, and tablet hardness as parameters of pharmaceutical properties. To predict the pharmaceutical properties, NIR spectra of the granules were measured and analyzed by principal component regression, (PCR) analysis. The mean particle size of the granules increased from 81 μm to 650 μm with an increase in the amount of water, and it was possible to make larger spherical granules with narrow particle size distribution using a high-speed mixer. Angle of repose, compressibility, and porosity of the tablets decreased with an increase of added water, but tablet hardness increased. The independent calibration models to evaluate particle size, angle of repose, and tablet porosity and hardness were established by using PCR based on NIR spectra of granules, respectively. The correlation coefficient constants of calibration curves for prediction of mean particle size, angle of repose, tablet porosity, and tablet hardness were 0.9109, 0.8912, 0.7437, and 0.8064, respectively. It is possible that the pharmaceutical properties of the granule, such as mean particle size, angle of repose, tablet porosity, and tablet hardness, could be predicted by an NIR-chemometric method.
引用
收藏
相关论文
共 50 条
  • [21] Near-infrared spectroscopy and chemometric modelling for rapid diagnosis of kidney disease
    Mengli Fan
    Xiuwei Liu
    Xiaoming Yu
    Xiaoyu Cui
    Wensheng Cai
    Xueguang Shao
    Science China Chemistry, 2017, 60 : 299 - 304
  • [22] Predictive Evaluation of Pharmaceutical Properties of Ulinastatin-Containing Vaginal Suppositories as a Hospital Preparation by Near-Infrared Spectroscopy
    Kishino, Tohru
    Inoue, Yoshihiro
    Inoue, Kayoko
    Saito, Kenichi
    Kondo, Masami
    Otsuka, Kuniko
    Terukina, Takayuki
    Hattori, Yusuke
    Otsuka, Makoto
    CHEMICAL & PHARMACEUTICAL BULLETIN, 2018, 66 (06) : 589 - 595
  • [23] NEAR-INFRARED OXIMETRY AND NEAR-INFRARED SPECTROSCOPY
    OWENREECE, H
    ELWELL, CE
    FALLON, P
    GOLDSTONE, J
    SMITH, M
    ANAESTHESIA, 1994, 49 (12) : 1102 - 1103
  • [24] Near-infrared spectroscopy and imaging: Basic principles and pharmaceutical applications
    Reich, G
    ADVANCED DRUG DELIVERY REVIEWS, 2005, 57 (08) : 1109 - 1143
  • [25] Application of near-infrared spectroscopy in the pharmaceutical solid dosage form
    Guo, JH
    Skinner, GW
    Harcum, WW
    Malone, JP
    Weyer, LG
    DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY, 1999, 25 (12) : 1267 - 1270
  • [26] A near-infrared spectroscopy method to determine aminoglycosides in pharmaceutical formulations
    Sarraguca, Mafalda Cruz
    Soares, Sandra Oliveira
    Lopes, Joao Almeida
    VIBRATIONAL SPECTROSCOPY, 2011, 56 (02) : 184 - 192
  • [27] Near-Infrared Spectroscopy for the Evaluation of Anesthetic Depth
    Hernandez-Meza, Gabriela
    Izzetoglu, Meltem
    Osbakken, Mary
    Green, Michael
    Izzetoglu, Kurtulus
    BIOMED RESEARCH INTERNATIONAL, 2015, 2015
  • [28] Clinical evaluation of near-infrared spectroscopy - Reply
    Taillefer, MC
    Denault, A
    CANADIAN JOURNAL OF ANAESTHESIA-JOURNAL CANADIEN D ANESTHESIE, 2006, 53 (03): : 324 - 324
  • [29] Micro-analysis by near-infrared diffuse reflectance spectroscopy with chemometric methods
    Liu, Yan
    Ning, Yu
    Cai, Wensheng
    Shao, Xueguang
    ANALYST, 2013, 138 (21) : 6617 - 6622
  • [30] Experimental and Chemometric Optimization to Enhance the Performance of Near-infrared Diffuse Reflectance Spectroscopy
    Wang, Cuicui
    Cai, Wensheng
    Shao, Xueguang
    ANALYTICAL LETTERS, 2018, 51 (04) : 537 - 546