The aim is to develop a molecularly imprinted sensor for the detection of oxytetracycline.
Utilized DFT-guided design for sensor development.
Integrated the sensor with a smartphone for portable visual detection.
Incorporated theoretical simulations in the sensor's construction.
The sensor effectively detects oxytetracycline with dual-mode capabilities (fluorescence and visualization).
Integration with a smartphone allows for portable and easy detection.
Abstract
), while its integration with a smartphone further enabled portable visual detection, demonstrating the synergy of theoretical simulation and structural engineering in advanced material construction.