Multidimensional Engineering of Single-Atom Iron Nanozymes for Machine Learning-Assisted Multiplexed Sensing

/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.