Bioelectronic systems integrated with artificial intelligence (AI) are transforming neurochemical diagnostics, enabling intelligent, real-time decoding of brain chemistry. Here, we present an AI-driven biomimetic electrochemical chip with intestine-inspired wrinkled MoS2 electrodes, enabling dynamic in vivo dopamine monitoring and neuromodulation. This wrinkled structural design promotes efficient molecular capture and alleviates laminar flow limitations, achieving a 23-fold enhancement in dopamine sensitivity over planar electrodes, with detection limits as low as 37 nM in 4.1 μL of biofluid. Moreover, coupled with an AI-assisted decision module, the platform translates neurochemical fluctuations into adaptive modulation, enabling real-time closed-loop neuromodulation. In vivo studies in rats demonstrate autonomous regulation of endogenous dopamine transients, directly linking electrode architecture to functional neural outcomes. This work highlights how bioinspired electrode design, integrated with intelligent signal interpretation, establishes a scalable pathway toward next-generation neurodiagnostics and adaptive bioelectronic interfaces.
Multiplexed and sensitive detection of foodborne pathogens is important and necessary to control foodborne diseases. Mesophilic Clostridium butyricum Argonaute (CbAgo) exhibits endonuclease activity, enabling precise guide DNA (gDNA)-directed target cleavage without sequence constraints, thus holding potential for multiplexed foodborne pathogen detection. The intrinsic activity constraints of CbAgo could be addressed by engineered modification of its gDNA in combination with synergistically enzymatic mechanisms, potentially generating highly efficient cooperative cleavage activity. In this study, the gDNA was engineered to incorporate a DNAzyme-functionalized fragment (designated as cDNA) for substrate strand cleavage, followed by systematic investigation of terminal modification group preferences. The synergistic integration of these dual enzymatic activities ultimately enhanced signal amplification efficacy. Furthermore, we developed a DNAzyme-CbAgo synergistic fluorescence aptamer biosensor, enabling multiplexed detection of three pathogenic bacteria with a detection limit down to 69 CFU mL-1. This work provides a potential platform for the simultaneous detection of multiplex foodborne pathogenic bacteria without DNA extraction and amplification.
The pervasive issue of nitrogen dioxide (NO2) as a hazardous air pollutant requires the development of high-performance gas sensors with high sensitivity, long-term stability, and low-temperature operation. While metal oxide semiconductors (MOS), such as In2O3 and ZnO, have been extensively investigated for this purpose, their practical application is often limited by the requirement for high operating temperatures and insufficient sensitivity to parts-per-billion (ppb) concentrations. Herein, we report a hierarchical ternary hybrid material, In2O3@ZnO@PPy, specifically designed for near-room temperature and light-assisted NO2 detection. The collective synergistic effects arising from the hierarchical architecture, inter-semiconductor heterojunctions, and conductive polymer integration enable the In2O3@ZnO@PPy sensor to exhibit exceptional sensitivity to NO2 at a low operating temperature of only 70 °C under blue-light excitation. The response value to 10 ppm NO2 is as high as 221.4. The optimized sensor demonstrates an ultralow limit of detection of 50 ppb. More importantly, the hybrid exhibits remarkable humidity tolerance, maintaining high sensing performance even at 80% relative humidity. Surface wettability analysis suggests that PPy incorporation modulates the interfacial interaction with water molecules, which helps alleviate humidity-induced interference during NO2 detection. The device further exhibits excellent repeatability, long-term stability, and strong selectivity against common interferents. These findings establish a light-assisted strategy for ppb-level gas sensing and provide a generalizable route for designing multifunctional hybrid materials for environmental monitoring and health diagnostics.
Ethylene glycol (C2H6O2) is a widely used yet toxic compound, requiring energy-efficient detection methods beyond prevalent high-temperature sensors. Here, an imine covalent organic framework (COF-TPC) was synthesized at room temperature (RT) using 2,4,6-trihydroxy-benzene-1,3,5-tricarbaldehyde (Tp) and 2,5-dichlorobenzene-1,4-diamine (Pa-Cl) as ligands, with acetic acid as a catalyst. The structure-property relationship was investigated by controlling Schiff base reaction time (1-70 h), yielding four sensors (COF-T-30, COF-T-40, COF-T-50, and COF-T-60) for testing. Gas sensing data revealed that the COF-T-50 sensor exhibited a response of 6107% to 500 ppm C2H6O2, significantly outperforming the other sensors. It also exhibited outstanding selectivity toward C2H6O2 among 13 gases, along with excellent repeatability and moisture resistance. DFT calculations elucidated the adsorption mechanism and the origin of its exceptional selectivity. This work provides a new approach for rapid, stable C2H6O2 detection using COFs, expanding their application scope.

