Pein Miriam, Kirsanov Dmitry, Ciosek Patrycja, del Valle Manel, Yaroshenko Irina, Wesoły Małgorzata, Zabadaj Marcin, Gonzalez-Calabuig Andreu, Wróblewski Wojciech, Legin Andrey
Institute of Pharmaceutics and Biopharmaceutics, Heinrich-Heine University Duesseldorf, Universitaetsstr. 1, 40225 Duesseldorf, Germany.
Institute of Chemistry, St. Petersburg State University, Universitetskaya nab. 7/9, 199034 St. Petersburg, Russia; Laboratory of Artificial Sensory Systems, ITMO University, Kronverskiy pr. 49, 197101 St. Petersburg, Russia.
J Pharm Biomed Anal. 2015 Oct 10;114:321-9. doi: 10.1016/j.jpba.2015.05.026. Epub 2015 Jun 3.
Electronic tongue technology based on arrays of cross-sensitive chemical sensors and chemometric data processing has attracted a lot of researchers' attention through the last years. Several so far reported applications dealing with pharmaceutical related tasks employed different e-tongue systems to address different objectives. In this situation, it is hard to judge on the benefits and drawbacks of particular e-tongue implementations for R&D in pharmaceutics. The objective of this study was to compare the performance of six different e-tongues applied to the same set of pharmaceutical samples. For this purpose, two commercially available systems (from Insent and AlphaMOS) and four laboratory prototype systems (two potentiometric systems from Warsaw operating in flow and static modes, one potentiometric system from St. Petersburg, one voltammetric system from Barcelona) were employed. The sample set addressed in the study comprised nine different formulations based on caffeine citrate, lactose monohydrate, maltodextrine, saccharin sodium and citric acid in various combinations. To provide for the fair and unbiased comparison, samples were evaluated under blind conditions and data processing from all the systems was performed in a uniform way. Different mathematical methods were applied to judge on similarity of the e-tongues response from the samples. These were principal component analysis (PCA), RV' matrix correlation coefficients and Tuckeŕs congruency coefficients.
近年来,基于交叉敏感化学传感器阵列和化学计量数据处理的电子舌技术吸引了众多研究人员的关注。迄今为止,已有多项涉及制药相关任务的应用报道,这些应用采用了不同的电子舌系统来实现不同的目标。在这种情况下,很难评判特定电子舌在制药研发中的优缺点。本研究的目的是比较六种不同电子舌对同一组药物样品的性能。为此,使用了两种市售系统(来自Insent和AlphaMOS)和四种实验室原型系统(两个来自华沙的电位滴定系统,分别以流动和静态模式运行,一个来自圣彼得堡的电位滴定系统,一个来自巴塞罗那的伏安系统)。本研究中的样品集包括九种基于柠檬酸咖啡因、一水乳糖、麦芽糊精、糖精钠和柠檬酸的不同组合配方。为了进行公平且无偏的比较,在盲测条件下对样品进行评估,并以统一的方式对所有系统的数据进行处理。应用了不同的数学方法来判断电子舌对样品响应的相似性。这些方法包括主成分分析(PCA)、RV'矩阵相关系数和塔克一致性系数。