Literature DB >> 24970586

An application of serially balanced designs for the study of known taste samples with the α-ASTREE electronic tongue.

S Altan1, M Francois, S Inghelbrecht, A Manola, Y Shen.   

Abstract

The α-ASTREE e-Tongue instrument uses seven sensors to characterize taste signals associated with a liquid sample. The instrument was used to study eight test preparations (comprised of a blank, four preparations corresponding to four known tastes and Sodium Topiramate in three concentrations known to have a bitter taste) and eight washes. Serially balanced residual effects designs were used to order the samples to estimate residual and main effects. The design provided for eight repeated measurements per test preparation. The experimental results suggested the following: (1) The seven sensors can be separated into three groups according to the ability to discriminate test preparations, and three of the sensors contributed little or no information. Further investigation suggested the lack of differentiability might be due to the age of the sensors. (2) The sensors discriminated known tastes from blank. The residual effect due to test preparations might appear after repeated usage. (3) Exploratory principal component analysis of the data indicated that nearly 90% of the total variability across the seven sensors could be explained by a single principal component. (4) The four standard taste preparations did not correspond to orthogonal dimensions in the principal component axes. (5) The three Sodium Topiramate test preparations could neither be associated with the corresponding known bitter taste sample nor could the three doses be shown to follow a quantitative dose-response relationship on the e-Tongue measurement scale. The practical interpretation of the results of the statistical analysis indicates only poor discriminative ability of the e-Tongue to distinguish clearly between increasing concentrations of a known bitter compound such as Sodium Topiramate. No apparent linear relationship could be discerned over increasing concentrations that would allow the quantification of bitterness.

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Year:  2014        PMID: 24970586      PMCID: PMC4245430          DOI: 10.1208/s12249-014-0173-0

Source DB:  PubMed          Journal:  AAPS PharmSciTech        ISSN: 1530-9932            Impact factor:   3.246


  5 in total

Review 1.  Electronic tongues and their analytical application.

Authors:  Yuri Vlasov; Andrey Legin; Alisa Rudnitskaya
Journal:  Anal Bioanal Chem       Date:  2002-05-04       Impact factor: 4.142

2.  Flavor analysis in a pharmaceutical oral solution formulation using an electronic-nose.

Authors:  Limin Zhu; Randal A Seburg; Eric Tsai; Sophie Puech; Jean-Christophe Mifsud
Journal:  J Pharm Biomed Anal       Date:  2004-02-18       Impact factor: 3.935

3.  Serially balanced designs for two sets of treatments.

Authors:  Stan Altan
Journal:  J Biopharm Stat       Date:  2005       Impact factor: 1.051

4.  Quantitative prediction of the bitterness suppression of elemental diets by various flavors using a taste sensor.

Authors:  Yohko Miyanaga; Naoko Inoue; Ayako Ohnishi; Emi Fujisawa; Maki Yamaguchi; Takahiro Uchida
Journal:  Pharm Res       Date:  2003-12       Impact factor: 4.200

5.  Evaluation of the bitterness of antibiotics using a taste sensor.

Authors:  Takahiro Uchida; Atsu Tanigake; Yohko Miyanaga; Kenji Matsuyama; Masaru Kunitomo; Yoshikazu Kobayashi; Hidekazu Ikezaki; Akira Taniguchi
Journal:  J Pharm Pharmacol       Date:  2003-11       Impact factor: 3.765

  5 in total
  1 in total

1.  The Taste of Commercially Available Clarithromycin Oral Pharmaceutical Suspensions in the Palestinian Market: Electronic Tongue and In Vivo Evaluation.

Authors:  Nawaf Abu-Khalaf; Abdel Naser Zaid; Nidal Jaradat; Alaaldin AlKilany; Basima Abu Rumaila; Rowa Al Ramahi; Shrouq Shweiki; Safaa Nidal; Nibal Surakhi
Journal:  Sensors (Basel)       Date:  2018-02-03       Impact factor: 3.576

  1 in total

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