Literature DB >> 23743155

New protocol for αAstree electronic tongue enabling full performance qualification according to ICH Q2.

Miriam Pein1, Carolin Eckert, Maren Preis, Jörg Breitkreutz.   

Abstract

Performance qualification (PQ) of taste sensing systems is mandatory for their use in pharmaceutical industry. According to ICH Q2 (R1) and a recent adaptation for taste sensing systems, non-specificity, log-linear relationships between the concentration of analytes and the sensor signal as well as a repeatability with relative standard deviation (RSD) values <4% were defined as basic requirements to pass a PQ. In the present work, the αAstree taste sensing system led to a successful PQ procedure by the use of recent sensor batches for pharmaceutical applications (sensor set #2) and a modified measurement protocol. Log-linear relationships between concentration and responses of each sensor were investigated for different bitter tasting active pharmaceutical ingredients (APIs). Using the new protocol, RSD values <2.1% were obtained in the repeatability study. Applying the visual evaluation approach, detection and quantitation limit could be determined for caffeine citrate with every sensor (LOD 0.05-0.5 mM, LOQ: 0.1-0.5 mM). In addition, the sensor set marketed for food applications (sensor set #5) was proven to show beneficial effects regarding the log-linear relationship between the concentration of quinine hydrochloride and the sensor signal. By the use of our proposed protocol, it is possible to implement the αAstree taste sensing system as a tool to assure quality control in the pharmaceutical industry.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23743155     DOI: 10.1016/j.jpba.2013.05.005

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


  1 in total

1.  Influence of Experimental Conditions on Electronic Tongue Results-Case of Valsartan Minitablets Dissolution.

Authors:  Małgorzata Wesoły; Anna Kluk; Małgorzata Sznitowska; Patrycja Ciosek; Wojciech Wróblewski
Journal:  Sensors (Basel)       Date:  2016-08-23       Impact factor: 3.576

  1 in total

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