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Verified CAS / Academic Author2 Decoded Studies

Prof. FANG Liang

School of Chemistry, Sun Yat-sen University

Co-Affiliations:SinoGreenTech Intelligence Archive (affiliated with Chinese Academy of Sciences research institutes)

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3653-2

Transforming Non-Photosensitizing Fluorophores into ROS Photogenerators via Radical-Promoted Intersystem Crossing

Designing photosensitizers with efficient intersystem crossing (ISC) and long-lived triplet excited states is critical for photodynamic therapy (PDT). However, conventional molecular design principles often rely on heavy-atom effects or specific donor-acceptor architectures, limiting generality. Here, we report a facile and rational strategy to convert intrinsically non-photosensitizing fluorophores into effective reactive oxygen species (ROS) generators by introducing guanidinium substituents. The modified photosensitizers exhibit prolonged triplet excited state lifetimes and considerable ROS production, in stark contrast to unmodified fluorophores which show intense fluorescence and negligible ROS generation. Electron paramagnetic resonance spectroscopy and high-resolution mass spectrometry confirm the formation of stable nitrogen-centered radical cations on the guanidinium moiety, stabilized by p-π conjugation. Mechanistic studies indicate that these radicals promote ISC and prolong triplet state lifetimes. In vitro and in vivo experiments demonstrate that guanidinium-modified photosensitizers induce immunogenic cell death (ICD) and elicit potent anti-tumor immunity. This work provides a universal and facile strategy for designing organic photosensitizers through stable radical cation-containing building blocks, expanding the scope of PDT agents.

SCIENCE CHINA Materials2025DOI: 10.1007/s40843-025-3535-8

Efficient Orbit-Torque Driven Spiking Neuromorphic Device Mimicking the Selective Attention Mechanism for Self-Adaptive Recognition

The brain's selective visual attention mechanism (SVAM) enables robust visual recognition in noisy environments through diverse neural action potential peaks acting as filters. Spiking neural networks (SNNs) mimic this paradigm but limited noise immunity and high write current density hinder brain-like efficiency. Hardware implementing SVAM necessitates spiking spintronic devices with noise-resistant and low operation current densities; such devices remain unreported. Here, we report an orbit-torque (OT) actuated ferromagnetic spiking synapse and neuron featuring a tunable peak action potential. These are more akin to biological neurons with varying sensitivities to external sensory stimuli, thereby augmenting the perception aptitude of the system in complex surroundings. Capitalizing on the high-efficiency OT, the ferromagnetic device demands a write current density of 5 × 10^6 A/cm^2, which is an order of magnitude lower than other spiking devices actuated by spin-orbit torque. Leveraging these neuromorphic devices, an all-spin SNN with low current density and tunable action potential peak has been fabricated, successfully mimicking the SVAM. In complex noise environment, the SNN achieves 92% on Cifar-10 and 95% on MNIST dataset, surpassing state-of-the-art spin-based SNNs by 5%. Our work provides a promising avenue for exploring the SVAM-inspired spiking neuromorphic devices, enhancing the bionic performance of the SNNs.