ArticleNature communications2022
A facile way to construct sensor array library via supramolecular chemistry for discriminating complex systems.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The Rise and Promise of Macrocyclic Hosts in Biomedicine.ACS central science · 2025Review
- Functional Nanomaterials for Advanced Bioelectrode Interfaces: Recent Advances in Disease Detection and Metabolic Monitoring.Sensors (Basel, Switzerland) · 2025Review
- Facile calixarene-based sensor array strategy for quality evaluation of Yinxing Mihuan oral solution.RSC advances · 2025Article
- Supramolecular discrimination and diagnosis-guided treatment of intracellular bacteria.Nature communications · 2025Article
- Mixed host co-assembled systems for broad-scope analyte sensing.Chemical science · 2024Article
- Nanotechnology improves the detection of bacteria: Recent advances and future perspectives.Heliyon · 2024Review
- Calixarene-Based Supramolecular Sensor Array for Pesticide Discrimination.Sensors (Basel, Switzerland) · 2024Article
- Food for Thought: Optical Sensor Arrays and Machine Learning for the Food and Beverage Industry.ACS sensors · 2024Review
- Dual hypoxia-responsive supramolecular complex for cancer target therapy.Nature communications · 2023Article
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Authors and funding
8 authors.
Funding
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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.
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