Gallardo Jordi, Alegret Salvador, Del Valle Manuel
Sensors and Biosensors Group, Department of Chemistry, Universitat Autònoma de Barcelona, Edifici Cn, 08193 Bellaterra, Spain.
Talanta. 2005 Jun 15;66(5):1303-9. doi: 10.1016/j.talanta.2005.01.049. Epub 2005 Feb 24.
This paper reports on the application of a potentiometric sensor array to the food analysis field, in order to distinguish simple tastes and to classify food samples. This array is formed by a set of non-specific all-solid-state potentiometric sensors and has been used in combination with principal component analysis (PCA) for the classification of food samples in batch and in flow injection mode. First attempt was to classify synthetic samples prepared with controlled variability. Once this ability is proven, satisfactory classification results are presented for commercial waters, orange-based drinks and tea samples. An interesting correlation is achieved between the natural juice content and its first calculated component, which allows for a very simple tool for screening purposes.
本文报道了电位传感器阵列在食品分析领域的应用，用于区分简单味道和对食品样品进行分类。该阵列由一组非特异性全固态电位传感器组成，并已与主成分分析（PCA）结合使用，以批处理和流动注射模式对食品样品进行分类。首次尝试是对具有可控变异性的合成样品进行分类。一旦证明了这种能力，就给出了商业用水、橙汁饮料和茶样品的令人满意的分类结果。在天然果汁含量与其第一个计算成分之间实现了有趣的相关性，这为筛选目的提供了一个非常简单的工具。
