Multidimensional Engineering of Single-Atom Iron Nanozymes for Machine Learning-Assisted Multiplexed Sensing
Abstract
/F nanozymes, we developed a cross-reactive sensor array. Coupled with machine learning algorithms, the sensor platform could achieve the intelligent pattern recognition of four homologous tetracycline (TC) antibiotics with about 80% classification accuracy. Moreover, integrating this sensing array with a smartphone-based paper analytical device could enable the rapid and instrument-free quantification of TCs in real environmental water samples. The present study highlights the significance of dimensionality engineering and establishes a multifunctional paradigm for environmental monitoring.
Fields of Study & Subjects
Advanced Nanomaterials in Catalysis
Nanocluster Synthesis and Applications
Biosensors and Analytical Detection
Publication details
- Journal / source
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Volume
- 98
- Issue
- 18
- Pages
- 13915–13924
- Publication date
- 29 April 2026
- Language
- EN