Department of Physics, School of Sciences, São Paulo State University (UNESP), Bauru, SP, 17033-360, Brazil.
School of Sciences, POSMAT, São Paulo State University (UNESP), Bauru, SP, 17033-360, Brazil.
J Mol Model. 2021 Jan 7;27(1):17. doi: 10.1007/s00894-020-04632-w.
Conjugated polymers have been considered promising candidates for applications in chemical sensors, mainly due to their high versatility of synthesis, low cost, light weight, and suitable optoelectronic properties. In this context, polythiophene (PT) derivatives have been successfully employed. However, at the same time that the versatility of the synthesis allows the production of varied derivatives, the complexity of interactions with analytes hinders an efficient design of compounds with improved sensing properties. In the present report, electronic structure calculations were employed to identify promising PT derivatives for chemical sensor applications. Structural, optoelectronic, and reactivity properties of a set of branched PT derivatives were evaluated. Adsorption studies considering different gaseous compounds were conducted for selected systems. The results suggest that an appropriate choice of the side groups can lead to derivatives with improved sensorial properties. In particular, PT-CN derivative was identified as the most promising compound for high sensitive chemical sensors towards SO and NH analytes.
共轭聚合物由于其合成的高通用性、低成本、重量轻和合适的光电性能,被认为是在化学传感器应用中有前途的候选材料。在这方面,聚噻吩(PT)衍生物已被成功应用。然而,在合成的通用性允许生产各种衍生物的同时,与分析物相互作用的复杂性阻碍了具有改进传感性能的化合物的有效设计。在本报告中,电子结构计算被用于识别用于化学传感器应用的有前途的 PT 衍生物。评估了一组支化 PT 衍生物的结构、光电和反应性性质。对选定的系统进行了考虑不同气态化合物的吸附研究。结果表明,适当选择侧基可以得到具有改进传感性能的衍生物。特别是,PT-CN 衍生物被确定为对 SO 和 NH 分析物具有高灵敏度的化学传感器的最有前途的化合物。