Literature DB >> 15127800

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

Limin Zhu1, Randal A Seburg, Eric Tsai, Sophie Puech, Jean-Christophe Mifsud.   

Abstract

Flavors are commonly used in pharmaceutical oral solutions and oral suspensions to mask drug bitterness and to make the formulation more palatable. Flavor analysis during product development is typically performed by human organoleptic analysis, which is often expensive and less objective. A novel approach using a metal oxide sensor-based instrument (electronic-nose) for headspace analysis was explored to replace human sensory perception for consistent qualitative and quantitative analysis of flavors in a pharmaceutical formulation. The use of the electronic-nose technique to qualitatively distinguish among six common flavoring agents (raspberry, red berry, strawberry, pineapple, orange, and cherry) in placebo formulations was demonstrated. The instrument was also employed to identify unknown flavors in drug formulation placebos. Raspberry flavor samples from different lots made by the same manufacturer, as well as freshly prepared and aged samples, were also distinguished by electronic-nose. Therefore, the instrument can potentially be used for identity testing of different flavor raw materials and the flavored solution formulations. The electronic-nose was also employed successfully for quantitative analysis of flavors in an oral solution formulation. The quantitative method might be used to assay the flavor concentration during release testing of the oral solution formulation or to monitor flavor shelf-life in the marketed container. It can also be implemented for packaging selection for the formulation in order to ensure the flavor shelf-life. Chemometric methodologies including principal component analysis (PCA), discriminant factorial analysis (DFA), and partial least squares (PLS), were used for data processing and identification.

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Year:  2004        PMID: 15127800     DOI: 10.1016/s0731-7085(03)00651-4

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  7 in total

Review 1.  Advances in electronic-nose technologies developed for biomedical applications.

Authors:  Alphus D Wilson; Manuela Baietto
Journal:  Sensors (Basel)       Date:  2011-01-19       Impact factor: 3.576

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

Authors:  S Altan; M Francois; S Inghelbrecht; A Manola; Y Shen
Journal:  AAPS PharmSciTech       Date:  2014-06-27       Impact factor: 3.246

3.  Bioinspired M-13 bacteriophage-based photonic nose for differential cell recognition.

Authors:  Jong-Sik Moon; Won-Geun Kim; Dong-Myeong Shin; So-Young Lee; Chuntae Kim; Yujin Lee; Jiye Han; Kyujung Kim; So Young Yoo; Jin-Woo Oh
Journal:  Chem Sci       Date:  2016-11-14       Impact factor: 9.825

4.  Species discrimination among three kinds of puffer fish using an electronic nose combined with olfactory sensory evaluation.

Authors:  Meixiu Zhang; Xichang Wang; Yuan Liu; Xinglian Xu; Guanghong Zhou
Journal:  Sensors (Basel)       Date:  2012-09-13       Impact factor: 3.576

5.  Identification of sulfur fumed Pinelliae Rhizoma using an electronic nose.

Authors:  Xia Zhou; Jun Wan; Liang Chu; Wengang Liu; Yafeng Jing; Chunjie Wu
Journal:  Pharmacogn Mag       Date:  2014-01       Impact factor: 1.085

6.  Effects of cooking method and final core-temperature on cooking loss, lipid oxidation, nucleotide-related compounds and aroma volatiles of Hanwoo brisket.

Authors:  Dicky Tri Utama; Ki Ho Baek; Hae Seong Jeong; Seok Ki Yoon; Seon-Tea Joo; Sung Ki Lee
Journal:  Asian-Australas J Anim Sci       Date:  2017-07-06       Impact factor: 2.509

7.  High pressure processing for dark-firm-dry beef: effect on physical properties and oxidative deterioration during refrigerated storage.

Authors:  Dicky Tri Utama; Seung Gyu Lee; Ki Ho Baek; Woon Si Chung; In Ae Chung; Jung Tae Jeon; Sung Ki Lee
Journal:  Asian-Australas J Anim Sci       Date:  2016-06-11       Impact factor: 2.509

  7 in total

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