Literature DB >> 16431048

Taste masking analysis in pharmaceutical formulation development using an electronic tongue.

Jack Y Zheng1, Melissa P Keeney.   

Abstract

The purpose of this study is to assess the feasibility for taste masking and comparison of taste intensity during formulation development using a multichannel taste sensor system (e-Tongue). Seven taste sensors used in the e-Tongue were cross-selective for five basic tastes while having different sensitivity or responsibility for different tastes. Each of the individual sensors concurrently contributes to the detection of most substances in a complicated sample through the different electronic output. Taste-masking efficiency was evaluated using quinine as a bitter model compound and a sweetener, acesulfame K, as a bitterness inhibitor. In a 0.2 mM quinine solution, the group distance obtained from e-Tongue analysis was reduced with increasing concentration of acesulfame K. This result suggests that the sensors could detect the inhibition of bitterness by a sweetener and could be used for optimization of the sweetener level in a liquid formulation. In addition, the bitterness inhibition of quinine by using other known taste-masking excipients including sodium acetate, NaCl, Prosweet flavor, and Debittering powder or soft drinks could be detected by the e-Tongue. These results further suggest that the e-Tongue should be useful in a taste-masking evaluation study on selecting appropriate taste-masking excipients for a solution formulation or a reconstitution vehicle for a drug-in-bottle formulation. In another study, the intensity of the taste for several drug substances known to be bitter was compared using the e-Tongue. It was found that the group distance was 695 for prednisolone and 686 for quinine, which is much higher than that of caffeine (102). These results indicate that the taste of prednisolone and quinine is stronger or more bitter than that of caffeine as expected. Based on the group distance, the relative intensity of bitterness for these compounds could be ranked in the following order: ranitidine HCl>prednisolone Na>quinine HCl approximately phenylthiourea>paracetamol>>sucrose octaacetate>caffeine. In conclusion, the multichannel taste sensor or e-Tongue may be a useful tool to evaluate taste-masking efficiency for solution formulations and to compare bitterness intensity of formulations and drug substances during pharmaceutical product development.

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Year:  2006        PMID: 16431048     DOI: 10.1016/j.ijpharm.2005.11.046

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  15 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.  Preparation, Evaluation and Characterization of Rutin-Chitooligosaccharide Complex.

Authors:  Ruge Cao; Qiuchen Ma; Yu Fu; Zhongkai Zhou; Xiaoyu Zhao
Journal:  Plant Foods Hum Nutr       Date:  2019-09       Impact factor: 3.921

Review 3.  The bad taste of medicines: overview of basic research on bitter taste.

Authors:  Julie A Mennella; Alan C Spector; Danielle R Reed; Susan E Coldwell
Journal:  Clin Ther       Date:  2013-07-22       Impact factor: 3.393

Review 4.  Optimizing oral medications for children.

Authors:  Julie A Mennella; Gary K Beauchamp
Journal:  Clin Ther       Date:  2008-11       Impact factor: 3.393

5.  Development of nanoparticle-based orodispersible palatable pediatric formulations.

Authors:  Yanping Deng; Lian Shen; Yan Yang; Jie Shen
Journal:  Int J Pharm       Date:  2021-01-22       Impact factor: 5.875

6.  Taste Masking Study Based on an Electronic Tongue: the Formulation Design of 3D Printed Levetiracetam Instant-Dissolving Tablets.

Authors:  Zengming Wang; Jingru Li; Xiaoxuan Hong; Xiaolu Han; Boshi Liu; Xianfu Li; Hui Zhang; Jing Gao; Nan Liu; Xiang Gao; Aiping Zheng
Journal:  Pharm Res       Date:  2021-05-11       Impact factor: 4.200

7.  Challenges in using Electronic tongue to study rasa of plants: II. Impact of solvent and concentration on sensor response and taste ranking.

Authors:  Dushyant Kumar; Aruna Singh; Rama Jayasundar
Journal:  J Ayurveda Integr Med       Date:  2021-02-05

8.  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

9.  A High Sensitivity IDC-Electronic Tongue Using Dielectric/Sensing Membranes with Solvatochromic Dyes.

Authors:  Md Rajibur Rahaman Khan; Alireza Khalilian; Shin-Won Kang
Journal:  Sensors (Basel)       Date:  2016-05-10       Impact factor: 3.576

10.  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

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