2026-10-13T12:07:23Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33699122 2026-09-13T13:03:43Z category_1 category_4 category_146 category_7 category_13 category_21 category_873 category_734 portal_63 item_type_2 month_year_09_2026

A Photocurable Conductive Hydrogel with Synergistic Electron and Ion Transport for Long-Term, High-Fidelity Electroencephalography Acquisition Runyi Han (17081737) Fan Wang (135182) Guanwen Ding (17745033) Boyuan Zhang (3134313) Jie Li (15030) Chenbo Gong (17081734) Lin Shi (65217) Dong Wen (4570795) Zhaopeng Xu (2908994) Biophysics Biochemistry Space Science Medicine Genetics Biotechnology Chemical Sciences not elsewhere classified Biological Sciences not elsewhere classified stable hydrated interface photocurable gelatin methacryloyl optimized hydrogel exhibits progressive water loss photocurable conductive hydrogel initial water content conductive hydrogels suffer conductive hydrogel based linked gelma network increasing interfacial impedance 10 hz ), enhanced water retention stable electrical conductivity water retention gelma ), conductive pathways electrical conductivity interfacial conformity work demonstrates thereby establishing synergistic regulation synergistic electron state eeg retains 88 promising platform prolonged use paper reports noise ratio mechanical networks mechanical compliance ion transport ion migration general strategy environmental stability electron transport covalently cross continuous wear compressive strength ambient conditions 72 h 501 kω 12 h 1 kpa 05 db Long-term, high-fidelity electroencephalography acquisition requires bioelectronic interfaces that simultaneously exhibit low skin–electrode impedance, stable electrical conductivity, mechanical compliance, and environmental stability. However, most conductive hydrogels suffer from progressive water loss, disruption of conductive pathways, and increasing interfacial impedance during prolonged use, resulting in signal degradation and limiting their application in wearable brain–computer interfaces. This paper reports a conductive hydrogel based on photocurable gelatin methacryloyl (GelMA), which integrates a covalently cross-linked GelMA network, an MXene electronic conductive network, an NaCl-mediated ion transport network, and a glycerol–water hydrogen bond network, thereby establishing a synergistic electronic–ionic conductive interface with enhanced water retention and long-term stability. The rationally engineered multiscale network simultaneously improves mechanical robustness, electrical conductivity, and interfacial conformity while effectively suppressing conductivity decay induced by dehydration. The optimized hydrogel exhibits a compressive strength of 680.1 kPa, an electrical conductivity of 0.304 S m^–1 (10 Hz), a low skin–electrode impedance of 6.501 kΩ, and retains 88.35% of its initial water content after 72 h under ambient conditions. Benefiting from the synergistic electron–ion transport mechanism and stable hydrated interface, the hydrogel electrode enables reliable acquisition of resting-state EEG and steady-state visual evoked potential signals, achieving a signal-to-noise ratio of 15.05 dB and maintaining stable electrophysiological performance after 12 h of continuous wear. This work demonstrates a general strategy for constructing long-term stable bioelectronic interfaces through the synergistic regulation of mechanical networks, electron transport, ion migration, and water retention, providing a promising platform for next-generation wearable EEG electrodes and continuous brain–computer interface applications. 2026-09-13T00:00:00Z Dataset Media 10.1021/acsapm.6c03341.s003 https://figshare.com/articles/media/A_Photocurable_Conductive_Hydrogel_with_Synergistic_Electron_and_Ion_Transport_for_Long-Term_High-Fidelity_Electroencephalography_Acquisition/33699122 CC BY-NC 4.0