Volume 1 Issue 2, February 2026

Innovative hydrogen sensors, able to achieve parts-per-billion detection limits with sub-second response times, struggle to enter the market because of inadequate standardization frameworks, as existing frameworks primarily address conventional flammable gases. The disconnection between technical readiness and outdated guidelines prevents the effective deployment of complete hydrogen detection systems. Immediate actions are required to develop a risk-informed, performance-based standardization framework that validates sensor reliability under real-world conditions and provides clear guidance for system integration. Bridging these gaps is essential to prevent infrastructure failures that could undermine substantial investments and public confidence in the global energy transition.

Event-driven analog in-memory computing markedly reduces energy consumption and latency, leading to intelligent haptic perception.

A graphene-based quantum sensor uses two decoupled layers to form a quantized 4 × 4 Landau-level checkerboard when exposed to vertical magnetic fields. The resulting fixed δD/B spacing provides a robust signature that could enable precise detection of strong magnetic fields under cryogenic conditions.

Form-fitting arrays of magnetic sensors can track the position and pose of medical devices such as capsules and guidewires inside living animals, pushing this methodology toward practical translation.

This Review highlights how advances in materials, device architectures and integrated platforms are enabling in situ biosensing for real-time physiological monitoring, addressing the limitations of traditional ex situ approaches and supporting translational applications.

Tip-focused radiofrequency perforation enables soft, bloodless implantation of flexible electronic hairs, advancing semi-implantable electrophysiology for prosthetics and human–machine interfaces.

A body-induced electroluminescence device enables three-dimensional finger tracking, providing a versatile platform for human–machine interaction that senses motion both on and above the device surface.

A lock-in hyperspectral imaging framework enables robust, multiparameter biometric sensing under ambient light fluctuations, advancing standoff physiological monitoring.

A neuromorphic sensing system combining a flexible piezoelectric sensor array, event-triggered circuitry and a memristive chip enables energy-efficient, low-latency edge processing of event-based data through analogue in-memory computing.

A large-twist-angle bilayer graphene platform exhibits a quantized ratio of displacement to magnetic field at Landau-level crossings, offering a route to high-resolution cryogenic magnetometry.

A customizable, flexible patch enables accurate three-dimensional in vivo magnetic localization across diverse medical settings and shows reliable performance in vascular and gastrointestinal studies.