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αAstree 电子舌新规程,可根据 ICH Q2 进行全面性能验证。

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

机构信息

Institute of Pharmaceutics and Biopharmaceutics, Heinrich-Heine University Duesseldorf, Universitaetsstr. 1, 40225 Duesseldorf, Germany.

出版信息

J Pharm Biomed Anal. 2013 Sep;83:157-63. doi: 10.1016/j.jpba.2013.05.005. Epub 2013 May 16.

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.

摘要

性能资格(PQ)的味觉感测系统是强制性的,他们在制药行业中的使用。根据 ICH Q2(R1)和最近的味觉感测系统的适应,非特异性,对数线性关系之间的浓度分析物和传感器信号以及重复性相对标准偏差(RSD)值<4%被定义为通过 PQ 的基本要求。在目前的工作中,αAstree 味觉感测系统通过使用最近的传感器批次进行药物应用(传感器集 #2)和修改后的测量协议,成功地进行了 PQ 程序。对数线性关系之间的浓度和响应的每个传感器进行了不同的苦味活性药物成分(APIs)的研究。使用新的协议,在重复性研究中获得了 RSD 值<2.1%。应用视觉评估方法,可以确定每个传感器的柠檬酸咖啡因的检测限和定量限(LOD 0.05-0.5 mM,LOQ:0.1-0.5 mM)。此外,为食品应用销售的传感器集(传感器集 #5)被证明在盐酸奎宁的浓度和传感器信号之间的对数线性关系方面显示出有益的效果。通过使用我们提出的协议,有可能实现αAstree 味觉感测系统作为一种工具,以确保在制药行业的质量控制。

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