Literature DB >> 17506509

Utilization of a modified special-cubic design and an electronic tongue for bitterness masking formulation optimization.

Lianli Li1, Venkatesh Naini, Salah U Ahmed.   

Abstract

A unique modification of simplex design was applied to an electronic tongue (E-Tongue) analysis in bitterness masking formulation optimization. Three formulation variables were evaluated in the simplex design, i.e. concentrations of two taste masking polymers, Amberlite and Carbopol, and pH of the granulating fluid. Response of the design was a bitterness distance measured using an E-Tongue by applying a principle component analysis, which represents taste masking efficiency of the formulation. The smaller the distance, the better the bitterness masking effect. Contour plots and polynomial equations of the bitterness distance response were generated as a function of formulation composition and pH. It was found that interactions between polymer and pH reduced the bitterness of the formulation, attributed to pH-dependent ionization and complexation properties of the ionic polymers, thus keeping the drug out of solution and unavailable to bitterness perception. At pH 4.9 and an Amberlite/Carbopol ratio of 1.4:1 (w/w), the optimal taste masking formulation was achieved and in agreement with human gustatory sensation study results. Therefore, adopting a modified simplex experimental design on response measured using an E-Tongue provided an efficient approach to taste masking formulation optimization using ionic binding polymers. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17506509     DOI: 10.1002/jps.20900

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  5 in total

1.  An electronic tongue: evaluation of the masking efficacy of sweetening and/or flavoring agents on the bitter taste of epinephrine.

Authors:  Ousama Rachid; F Estelle R Simons; Mutasem Rawas-Qalaji; Keith J Simons
Journal:  AAPS PharmSciTech       Date:  2010-03-30       Impact factor: 3.246

2.  Bitterness intensity prediction of berberine hydrochloride using an electronic tongue and a GA-BP neural network.

Authors:  Ruixin Liu; Xiaodong Zhang; Lu Zhang; Xiaojie Gao; Huiling Li; Junhan Shi; Xuelin Li
Journal:  Exp Ther Med       Date:  2014-03-11       Impact factor: 2.447

3.  Optimization and validation of the protocol used to analyze the taste of traditional Chinese medicines using an electronic tongue.

Authors:  Xuelin Li; Xiaojie Gao; Ruixin Liu; Junming Wang; Zidan Wu; Lu Zhang; Huiling Li; Xinjing Gui; Bingya Kang; Junhan Shi
Journal:  Exp Ther Med       Date:  2016-09-20       Impact factor: 2.447

4.  Study on Masking the Bitterness of Chinese Medicine Decoction-Mate.

Authors:  Fuguo Hou; Yan Miao; Xiangxiang Wu; Xinjing Gui; Yanli Wang; Haiyang Li; Junhan Shi; Lu Zhang; Jing Yao; Xuelin Li; Ruixin Liu
Journal:  Evid Based Complement Alternat Med       Date:  2022-09-09       Impact factor: 2.650

5.  Evaluation of the Bitterness of Traditional Chinese Medicines using an E-Tongue Coupled with a Robust Partial Least Squares Regression Method.

Authors:  Zhaozhou Lin; Qiao Zhang; Ruixin Liu; Xiaojie Gao; Lu Zhang; Bingya Kang; Junhan Shi; Zidan Wu; Xinjing Gui; Xuelin Li
Journal:  Sensors (Basel)       Date:  2016-01-25       Impact factor: 3.576

  5 in total

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