Metal ion contamination has serious impacts on environmental and biological health, so it is crucial to effectively monitor the levels of these metal ions. With the continuous progression of optoelectronic nanotechnology and biometrics, the emerging electrochemiluminescence (ECL) biosensing technology has not only proven its simplicity, but also showcased its utility and remarkable sensitivity in engineered monitoring of residual heavy metal contaminants. This comprehensive review begins by introducing the composition, advantages, and detection principles of ECL biosensors, and delving into the engineered aspects. Furthermore, it explores two signal amplification methods: biometric element-based strategies (e.g., HCR, RCA, EDC, and CRISPR/Cas) and nanomaterial (NM)-based amplification, including quantum dots, metal nanoclusters, carbon-based nanomaterials, and porous nanomaterials. Ultimately, this review envisions future research trends and engineered technological enhancements of ECL biosensors to meet the surging demand for metal ion monitoring.

The development of cost-effective, rapid-response, and user-friendly biosensing platforms has become paramount importance for achieving precise biomarker quantification in early disease detection. Implementing timely diagnostic interventions through accurate biomarker analysis not only significantly improves treatment outcomes but also enables effective disease management strategies, ultimately leading to substantial reductions in patient mortality rates. These clinical imperatives have consequently driven the innovation of portable point-of-care (POC) diagnostic systems. Electrochemical biosensors are attractive in the early diagnosis of diseases due to their low cost, simple operation, and high sensitivity. This review examines prevalent material innovations in electrode functionalization for electrochemical biosensing platforms, with specific emphasis on their translational applications in early-stage disease detection. The analysis included three important early diagnostic biomarker types: proteins, nucleic acids, and small molecule metabolites. Furthermore, the work proposes novel research trajectories for next-generation biosensor development, advocating the synergistic integration of artificial intelligence-driven analytics, Internet of Medical Things (IoMT)-enabled diagnostic networks, and advanced micro/nanofabrication techniques.

Cyclodextrins (CDs), cyclic oligosaccharides formed by α-1,4-glycosidic-bonded D-glucopyranose units, feature unique hydrophobic cavities and hydrophilic exteriors that enable molecular encapsulation via host–guest interactions. CDs form supramolecular host–guest complexes with diverse molecular entities, establishing their fundamental role in supramolecular chemistry. This review examines fabrication strategies for CD-based supramolecular hydrogels and their applications in tissue engineering and regenerative medicine, with focused analysis on wound healing, corneal regeneration, and bone repair. We critically analyze CD–guest molecular interaction mechanisms and innovative therapeutic implementations, highlighting the significant potential of CD hydrogels for tissue regeneration while addressing clinical translation challenges and future directions.

Biosensing technology serves as a cornerstone in biomedical diagnostics, environmental monitoring, personalized medicine, and wearable devices, playing an indispensable role in precise detection and real–time monitoring. Compared with traditional sensing platforms, functional nanomaterials—by virtue of their ultra–large specific surface area, exceptional optoelectronic properties, and superior catalytic activity—significantly enhance the sensitivity, selectivity, and response speed of biosensors. This has enabled ultrasensitive, rapid, and even in situ detection of disease biomarkers, pollutants, and pathogens. This review summarizes recent advances in five key categories of functional nanomaterials—metallic, semiconductor, carbon–based, two–dimensional, and stimulus–responsive materials—for advanced biosensing applications. It elucidates the structure–property relationships governing sensing performance, such as the surface plasmon resonance of gold nanoparticles and the high carrier mobility of graphene, and analyzes the core mechanisms behind optical sensing, electrochemical sensing, and emerging multimodal sensing strategies. With a focus on medical diagnostics, wearable health monitoring, and environmental and food safety surveillance, the review highlights the application value of functional nanomaterials across diverse scenarios. Current research is progressively moving beyond single–performance optimization toward intelligent design, multifunctional integration, and real–world deployment, though challenges related to industrial application remain. Finally, the review outlines existing issues in the development of functional nanomaterial–based biosensors and offers perspectives on the integration of nanomaterials with cutting–edge technologies and the construction of novel sensing systems. This work aims to provide insights for the rational design of functional nanomaterials and the cross–disciplinary translation of biosensing technologies.

Lung cancer remains one of the most common and deadly malignancies worldwide. Current diagnosis and staging primarily rely on biopsy techniques, which fail to comprehensively characterize the molecular profiles and tumor microenvironment. Current studies demonstrate the promising performance (AUC = 82%) of miRNA-based predictive models, but exclusive reliance on miRNA signatures is limited by incomplete capture of tumor heterogeneity. Integrating imaging and genomic data can further enhance model accuracy, with functional nanomaterials serving as core advanced biosensing platforms to bridge miRNA sensing and radiomic fusion. Consequently, integrating imaging and genomic data can further enhance model accuracy. Recent research employing DenseNet architecture for the multimodal fusion of miRNA and radiomic features achieved an AUC of 0.98 with 85.7% sensitivity. This review summarizes advances in miRNA biomarkers, deep learning-driven radiogenomics, and critical roles of functional nanomaterials in biosensing-enabled multimodal integration, along with challenges and future directions for clinical translation.