Gutés A, Céspedes F, Alegret S, Del Valle M
Sensors and Biosensors Group, Department of Chemistry, Autonomous University of Barcelona, Edifici Cn, 08193 Bellaterra, Barcelona, Catalonia, Spain.
Talanta. 2005 Jun 15;66(5):1187-96. doi: 10.1016/j.talanta.2005.01.022.
A sequential injection analysis (SIA) system was developed with the aim of obtaining an automatic and versatile way to prepare standards needed in the study of systems with higher dimensional sensor signals. To illustrate this, different analytical techniques were used in determinations of several analytes. Automated potentiometric calibrations of different potentiometric sensors, with and without interference, were carried out. Useful determinations of selectivity coefficients with two degrees of freedom were obtained. Simultaneous voltammetric determinations have also been done. Firstly, simultaneous determinations of lead and cadmium, using epoxy-graphite composite as the working electrode, have enabled a separate calibration for each metal to be obtained. Next, a voltammetric electronic tongue was designed and applied to the determination of oxidizable species. The use of artificial neural networks has solved the overlapped signal of ascorbic acid, 4-aminophenol and 4-acetamidophenol (paracetamol). A set of 63 data points was prepared automatically and has facilitated the training of an electronic tongue for these three analytes. Accurate predictions of test solutions, in the range of 12-410muM for ascorbic acid, 17-530muM for 4-aminophenol and 10-420muM for paracetamol, have been achieved with RMSEs lower than 0.10muM.
开发了一种顺序注射分析（SIA）系统，目的是获得一种自动且通用的方法，以制备具有更高维传感器信号的系统研究中所需的标准品。为了说明这一点，在几种分析物的测定中使用了不同的分析技术。对不同的电位传感器进行了有无干扰情况下的自动电位校准。获得了具有两个自由度的选择性系数的有用测定结果。还进行了同时伏安测定。首先，使用环氧石墨复合材料作为工作电极，同时测定铅和镉，能够对每种金属进行单独校准。接下来，设计了一种伏安电子舌并将其应用于可氧化物质的测定。人工神经网络的使用解决了抗坏血酸、4-氨基苯酚和4-乙酰氨基酚（扑热息痛）的信号重叠问题。自动制备了一组63个数据点，便于对这三种分析物的电子舌进行训练。对于抗坏血酸在12 - 410μM范围内、4-氨基苯酚在17 - 530μM范围内以及扑热息痛在10 - 420μM范围内的测试溶液，均实现了准确预测，均方根误差低于0.10μM。
