Chio Weng-I Katherine, Peveler William J, Assaf Khaleel I, Moorthy Suresh, Nau Werner M, Parkin Ivan P, Olivo Malini, Lee Tung-Chun
Department of Chemistry, University College London (UCL), London WC1H 0AJ, U.K.
Singapore Bioimaging Consortium (SBIC), Agency for Science Technology and Research (ASTAR), Singapore 138667, Singapore.
J Phys Chem C Nanomater Interfaces. 2019 Jun 27;123(25):15769-15776. doi: 10.1021/acs.jpcc.9b02363. Epub 2019 Apr 23.
We demonstrate that the reproducibility of sensors for nitroaromatics based on surface-enhanced Raman spectroscopy (SERS) can be significantly improved via a hierarchical aqueous self-assembly approach mediated by the multifunctional macrocyclic molecule cucurbit[7]uril (CB[7]). Our approach is enabled by the novel host-guest complexation between CB[7] and an explosive marker 2,4-dinitrotoluene (DNT). Binding studies are performed using experimental and computation techniques to quantify key binding parameters for the first time. This supramolecular complexation allows DNT to be positioned in close proximity to the plasmonic hotspots within aggregates of CB[7] and gold nanoparticles, resulting in significant SERS signals with a detection limit of ∼1 μM. The supramolecular ensemble is selective against a structurally similar nitroaromatics owing to the molecular-recognition nature of the complexation as well as tolerant against the presence of model organic contaminants that bind strongly to the SERS substrates.
我们证明,基于表面增强拉曼光谱(SERS)的硝基芳烃传感器的重现性可通过由多功能大环分子葫芦[7]脲(CB[7])介导的分级水相自组装方法得到显著提高。我们的方法得益于CB[7]与爆炸物标记物2,4-二硝基甲苯(DNT)之间新型的主客体络合作用。首次使用实验和计算技术进行结合研究以量化关键结合参数。这种超分子络合作用使DNT能够定位在CB[7]和金纳米颗粒聚集体内的等离子体热点附近,从而产生显著的SERS信号,检测限约为1 μM。由于络合作用的分子识别性质,该超分子体系对结构相似的硝基芳烃具有选择性,并且能够耐受与SERS底物强烈结合的模型有机污染物的存在。