Selinger Allison J, Krämer Joana, Poarch Eric, Hore Dennis, Biedermann Frank, Hof Fraser
Department of Chemistry, University of Victoria Victoria BC V8P 5C2 Canada
Centre for Advanced Materials and Related Technology (CAMTEC), University of Victoria Victoria BC V8W 2Y2 Canada.
Chem Sci. 2024 Jul 1;15(31):12388-12397. doi: 10.1039/d4sc02788d. eCollection 2024 Aug 7.
Here we report a systems chemistry oriented approach for developing information-rich mixed host chemosensors. We show that co-assembling macrocyclic hosts from different classes, DimerDye sulfonatocalix[4]arenes and cucurbit[]urils, effectively increases the scope of analyte binding interactions and therefore, sensory outputs. This simple dynamic strategy exploits cross-reactive noncovalent host-host complexation interactions while integrating a reporter dye, thereby producing emergent photophysical responses when an analyte interacts with either host. We first demonstrate the advantages of mixed host co-assembled chemosensors through an increased detection range of hydrophobic, cationic, neutral, and anionic drugs. We then implement mixed host sensors in an array-based platform for the differentiation of illicit drugs, including cannabinoids, benzodiazepine analogs, opiates, anesthetics, amphetamine, and common adulterating substances. Finally, the potential of this approach is applied to profiling real-world multi-component illicit street drug samples, proving to be more effective than classical sensor arrays.
在此，我们报告了一种面向系统化学的方法，用于开发信息丰富的混合主体化学传感器。我们表明，将不同类别的大环主体，即二聚体染料磺化杯[4]芳烃和葫芦脲进行共组装，可有效扩大分析物结合相互作用的范围，进而增加传感输出。这种简单的动态策略利用了交叉反应性的非共价主体-主体络合相互作用，同时整合了一种报告染料，从而当分析物与任一主体相互作用时产生新的光物理响应。我们首先通过扩大对疏水、阳离子、中性和阴离子药物的检测范围，证明了混合主体共组装化学传感器的优势。然后，我们将混合主体传感器应用于基于阵列的平台，用于区分包括大麻素、苯二氮䓬类似物、阿片类药物、麻醉剂、安非他命和常见掺杂物在内的非法药物。最后，该方法的潜力被应用于对实际多组分非法街头毒品样本进行分析，结果证明其比传统传感器阵列更有效。
