School of Chemistry, The University of Sydney, NSW 2006, Australia.
Analyst. 2018 Dec 17;144(1):230-236. doi: 10.1039/c8an01747f.
Pattern recognition methods such as linear discriminant analysis and principal component analysis are useful tools for the identification of analytes such as metal ions. These typically use a number of distinct molecular probes that exhibit cross-reactivity. Here we report a single molecule that demonstrates varying response in different solvents, therefore enabling the combination of probe and solvent to generate the required array diversity. Seven toxic metal ions were introduced as aqueous samples, and PCA and LDA techniques applied. The array could correctly identify all metals in pure water samples, all metals in doped lake-water samples. Further, we have explored the limit of detection of the system for two metal ions, Cu(ii) and Hg(ii), confirming the promise of the system as a candidate to identify toxic metals in environmental water sources.
模式识别方法,如线性判别分析和主成分分析,是识别分析物(如金属离子)的有用工具。这些方法通常使用许多表现出交叉反应的独特分子探针。在这里,我们报告了一种单一分子,它在不同溶剂中表现出不同的响应,因此可以将探针和溶剂结合起来产生所需的阵列多样性。七种有毒金属离子被引入作为水样,并应用 PCA 和 LDA 技术。该阵列可以正确识别纯水中的所有金属,掺杂湖水样品中的所有金属。此外,我们还探索了该系统对两种金属离子 Cu(ii)和 Hg(ii)的检测限,证实了该系统作为识别环境水源中有毒金属的候选物的潜力。