A facile way to construct sensor array library via supramolecular chemistry for discriminating complex systems

Jia-Hong Tian, Xin-Yue Hu, Zong-Ying Hu, Han-Wen Tian, Juan-Juan Li, Yu-Chen Pan, Hua-Bin Li and Dong-Sheng Guo ()
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Jia-Hong Tian: Nankai University
Xin-Yue Hu: Nankai University
Zong-Ying Hu: Nankai University
Han-Wen Tian: Nankai University
Juan-Juan Li: Nankai University
Yu-Chen Pan: Nankai University
Hua-Bin Li: Nankai University
Dong-Sheng Guo: Nankai University

Nature Communications, 2022, vol. 13, issue 1, 1-12

Abstract: Abstract Differential sensing, which discriminates analytes via pattern recognition by sensor arrays, plays an important role in our understanding of many chemical and biological systems. However, it remains challenging to develop new methods to build a sensor unit library without incurring a high workload of synthesis. Herein, we propose a supramolecular approach to construct a sensor unit library by taking full advantage of recognition and assembly. Ten sensor arrays are developed by replacing the building block combinations, adjusting the ratio between system components, and changing the environment. Using proteins as model analytes, we examine the discriminative abilities of these supramolecular sensor arrays. Then the practical applicability for discriminating complex analytes is further demonstrated using honey as an example. This sensor array construction strategy is simple, tunable, and capable of developing many sensor units with as few syntheses as possible.

Date: 2022
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DOI: 10.1038/s41467-022-31986-x

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