Han Jinsong, Wang Benhua, Bender Markus, Pfisterer Jessica, Huang Wei, Seehafer Kai, Yazdani Mahdieh, Rotello Vincent M, Rotello Caren M, Bunz Uwe H F
Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120 Heidelberg, Germany.
Department of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, Massachusetts 01003, USA.
Polym Chem. 2017;8(17):2723-2732. doi: 10.1039/C7PY00227K. Epub 2017 Mar 31.
We outline an evolution process for tongue elements composed of poly(-aryleneethynylene)s (PAE) and detergents, resulting in a chemical tongue (24 elements) that discerns antibiotics. Cross-breeding of this new tongue with tongue elements that consist of simple poly(-phenyleneethynylene)s (PPE) at different pH-values leads to an enlarged sensor array, composed of 30 elements. This tongue was pruned, employing principal component analysis. We find that a filial tongue featuring three elements from each original array (i.e. a six element tongue) is superior to either of the prior tongues and the composite tongue in the discrimination of structurally different antibiotics. Such a selection process should be general and give an idea how to successfully generate powerful low-selectivity sensor elements and configure them into discriminative chemical tongues.
我们概述了由聚亚芳基乙炔（PAE）和去污剂组成的舌状元件的演化过程，得到了一种能够识别抗生素的化学舌（24个元件）。这种新的舌状元件与由简单聚亚苯基乙炔（PPE）在不同pH值下组成的舌状元件进行杂交，形成了一个由30个元件组成的扩大的传感器阵列。利用主成分分析对该舌状元件进行了筛选。我们发现，在区分结构不同的抗生素方面，一种从每个原始阵列中选取三个元件的子代舌状元件（即六元件舌状元件）优于之前的任何一种舌状元件和复合舌状元件。这样的选择过程应该具有普遍性，并能让人了解如何成功地生成强大的低选择性传感器元件，并将它们配置成具有鉴别能力的化学舌。
