Fine-tuning the Ni/Co ratio to elucidate the coordination structure-activity relationship of MOF-derived bimetallic layered double hydroxides for highly sensitive enzyme-free lactate biosensors.

The development of a reliable, non-enzymatic electrochemical sensor for lactate detection is crucial for real-time monitoring of muscle fatigue and human metabolism. In this work, we present a straightforward and controllable synthesis method for nickel-cobalt bimetallic layered double hydroxides (LDHs) derived from a metal-organic framework (MOF) precursor in an alkaline medium. The Ni/Co ratio was systematically tuned to induce distinct hydroxide phase transformations, where a high Ni content favored the formation of α-phase hydroxide with superior catalytic activity, while a high Co ratio led to the formation of β-phase hydroxide.

High Accuracy Respiration and Heart Rate Detection Based on Artificial Neural Network Regression.

A 24GHz Doppler radar system for accurate contactless monitoring of heart and respiratory rates is demonstrated here. High accuracy predictions are achieved by employing a CNN+LSTM neural network architecture for regression analysis. Detection accuracies of 99% and 98% have been attained for heart rate and respiration rate, respectively.