Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Near Infrared Spectroscopy
  • Vol. 23,
  • Issue 3,
  • pp. 189-196
  • (2015)

Predictive Evaluation of Heat Treatment Effect on Theophylline Release of Spray-Dried Pre-Gelatinised Glutinous Rice Starch Particles by near Infrared Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

Starch is a natural polymeric with high chemical stability and no toxicity, so it is used widely as an additive in pharmaceutical manufacturing and the food industry. In this study, the effect of heat treatment on the controlled theophylline (TH) release rate of spray-dried pre-gelatinised glutinous rice starch (pGRS) was evaluated predictively by near infrared (NIR) spectroscopy. Spray-dried particles (SGRS) were obtained by spray-drying of TH ethanolic aqueous solution (TH: pGRS = 1: 1). The obtained SGRS was heat-treated to control drug release by chemical modification at 40–100°C. TH release test of the SGRS was performed to evaluate the drug release rate constant (KH) in water at 37°C – body temperature. NIR spectra of heat-treated SGRS were recorded by diffuse reflectance NIR spectroscopy. The best calibration model consisted of five latent variables to predict KH and was determined by partial least squares (PLS) regression. Since the drug release profiles of TH from SGRS followed a Higuchi-type plot (diffusion-controlled sustained drug release), it was indicated that the rate-determining step of TH release is diffusion in polymeric matrices of SGRS. The KH of SGRS was evaluated based on Higuchi plots. It decreased with increasing temperature. X-ray diffraction and NIR results of SGRS suggested that TH recrystallised in SGRS after heat treatment. The relationship between actual and predicted KH values by our best PLS model based on NIR spectra gave a straight line with r2 = 0.990, with the slopes being close to 1. The KH of SGRS could be controlled by heat treatment. The KH could be predicted from NIR spectra and a chemometric method.

© 2015 The Author(s)

PDF Article
More Like This
Temperature-dependent diffuse reflectance spectroscopy of plasma-sprayed Cr-doped α-alumina using supercontinuum laser illumination and CO2 laser heating

Michael C. Brupbacher, Dajie Zhang, William M. Buchta, Marc B. Airola, David M. Brown, Michael E. Thomas, and James B. Spicer
Appl. Opt. 56(27) 7618-7628 (2017)

Effect of heat treatments on the performance of polymer optical fiber sensor

Nianbing Zhong, Mingfu Zhao, Qiang Liao, Xun Zhu, Yishan Li, and Zhonggang Xiong
Opt. Express 24(12) 13394-13409 (2016)

Prediction of heavy metal Cd and stress on minerals in rice by analysis of LIBS spectra

Gangrong Fu, Zhongxiu Li, Jiang Xu, Weiping Xie, Ping Yang, Yuan Xu, and Mingyin Yao
Appl. Opt. 61(10) 2536-2541 (2022)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.