Sensors and Biosensors Group, Chemistry Department, Universitat Autònoma de Barcelona, Edifici Cn, 08193 Bellaterra, Barcelona, Spain.
Talanta. 2010 Jan 15;80(3):1428-35. doi: 10.1016/j.talanta.2009.09.048.
Simultaneous quantification of Cd(2+) and Pb(2+) in solution has been correctly targeted using the kinetic information from a single non-specific potentiometric sensor. Dual quantification was accomplished from the complex information in the transient response of an electrode used in a Sequential Injection Analysis (SIA) system and recorded after step injection of sample. Data was firstly preprocessed with the Discrete Wavelet Transform (DWT) to extract significant features and then fed into an Artificial Neural Network (ANN) for building the calibration model. DWT stage was optimized regarding the wavelet function and decomposition level, while the ANN stage was optimized on its structure. To simultaneously corroborate the effectiveness of the approach, two different potentiometric sensors were used as study case, one using a glass selective to Cd(2+) and another a PVC membrane selective to Pb(2+).
利用单个非特异性电位传感器的动力学信息，成功实现了溶液中 Cd(2+)和 Pb(2+)的同时定量。通过顺序注射分析（SIA）系统中使用的电极的瞬态响应中的复杂信息，并在样品阶跃注入后进行记录，完成了双重定量。首先使用离散小波变换（DWT）对数据进行预处理，以提取重要特征，然后将其输入到人工神经网络（ANN）中，以构建校准模型。针对小波函数和分解级别对 DWT 阶段进行了优化，而针对结构对 ANN 阶段进行了优化。为了同时验证该方法的有效性，使用了两个不同的电位传感器作为研究案例，一个使用对 Cd(2+)具有选择性的玻璃，另一个使用对 Pb(2+)具有选择性的 PVC 膜。
