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Calixarene-Based Supramolecular Sensor Array for Pesticide Discrimination.
Yeye Chen1, Jia-Hong Tian1, Han-Wen Tian1
1College of Chemistry, State Key Laboratory of Elemento-Organic Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), Frontiers Science Center for New Organic Matter, Collaborative Innovation Center of Chemical Science and Engineering, Nankai University, Tianjin 300071, China.
A new supramolecular fluorescent sensor array using calixarenes rapidly distinguishes seven pesticides in three minutes. This technology enables on-site visual detection of pesticide concentrations, aiding environmental and human health protection.
Area of Science:
- Analytical Chemistry
- Environmental Science
- Materials Science
Background:
- Accurate pesticide detection is vital for environmental and human health.
- Current methods for pesticide differentiation can be slow and inconvenient.
- Need for rapid, on-site analytical tools for pesticide identification.
Purpose of the Study:
- To develop a rapid and efficient sensor array for differentiating pesticides.
- To create a supramolecular sensing platform for on-site pesticide detection.
- To enable visual quantification of pesticides using smartphone technology.
Main Methods:
- Fabrication of a supramolecular fluorescent sensor array utilizing calixarenes as recognition receptors.
- Testing the sensor array's response to seven different pesticides (herbicides, insecticides, fungicides).
- Utilizing a smartphone color scanning application for real-time visual detection and quantification.
Main Results:
- The sensor array demonstrated distinct fluorescence change patterns for seven tested pesticides.
- Successful discrimination of pesticide types within a three-minute reaction time.
- Real-time, on-site visual detection and quantification of imazalil concentrations achieved using a smartphone.
Conclusions:
- The developed supramolecular sensor array offers a rapid, efficient, and versatile method for pesticide identification and quantification.
- This approach provides a simple platform for on-site visual detection, enhancing environmental and health monitoring.
- The sensing technology is adaptable for recognizing other analytes in various scientific fields.
