Literature DB >> 26216412

The prediction of the palatability of orally disintegrating tablets by an electronic gustatory system.

Hideshi Nakamura1, Shinya Uchida2, Takeshi Sugiura3, Noriyuki Namiki4.   

Abstract

In this study, the human gustatory palatability sensation of taste-masked famotidine and amlodipine orally disintegrating tablets (ODTs) was quantitatively predicted by an electronic gustatory system (α-Astree e-Tongue). Furthermore, its use in formulation design was evaluated. The famotidine- and amlodipine-containing ODTs, which were bitter- and highly bitter-tasting, respectively, were prepared using a physical (granules spray-coated with ethyl cellulose) or organoleptic (the addition of a sweetener and a flavor) masking method and combinations thereof. The taste-masking effects of different masking methods on the ODTs were investigated in a human gustatory sensation test. In the test, volunteers scored the overall palatability using a 100mm visual analog scale (VAS). The electronic gustatory system was evaluated using the Euclidean distance (the distance between each drug-containing ODT and its corresponding placebo) and partial least squares (PLS) regression analysis of the sensor response values. A good linear relationship was observed between each ODT's Euclidean distance analysis, PLS regression analysis, and clinical VAS scores. Cross-validation verification of each analysis confirmed the model's predictive power. This study suggests that the α-Astree can quantitatively evaluate physical and organoleptic taste masking and that the palatability of unknown formulations can be predicted by Euclidean distance and PLS regression data analysis.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  Amlodipine; Electronic gustatory system; Famotidine; Orally disintegrating tablet; Taste-masking; Visual analogue scale

Mesh:

Substances:

Year:  2015        PMID: 26216412     DOI: 10.1016/j.ijpharm.2015.07.056

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


  7 in total

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