ArticleScience advances2023
Ultrasensitive and robust mechanoluminescent living composites.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The trial behind it
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Who cites it
15 citing papers in PubMed, 46 citations in OpenAlex.
- Emergent piezoelectricity as the driving force for mechanoluminescence in crystals of atomically precise copper nanoclusters.Nature communications · 2026Article
- Light-based 3D printing of mechanoluminescent living gels loaded with dinoflagellates.Science advances · 2026Article
- Chemical stimulation sustains bioluminescence of living light materials.Science advances · 2026Article
- Bimodal Mechanoluminescence Enables Multicolor Luminescent Tailing for Ultra-Accurate Loading Speed Visualization and Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Mechanoluminescence from amorphous solids of heteroleptic copper complexes and common luminophores induced by non-destructive mechanical stimuli and fabrication of flexible mechanoluminescent films.Chemical science · 2025Article
- A long-term self-driven metronomic photodynamic system for cancer therapy.Nature communications · 2025Article
- Review
- 3D Printing of Auxetic Self-powered Mechanoluminescent Photonic Skins for Underwater Communication and Safety Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Multi-stimulated far-UVC luminescence for solar-blind imaging.Nature communications · 2025Article
- Solving Challenges in Microalgae-Based Living Materials.ACS synthetic biology · 2025Article
- Dual-Modal Sensing Skin Adaptive to Daylight, Darkness, and Ultraviolet Light for Simultaneous Full-Field Deformation Measurement and Mechanoluminescence Responses.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Self-powered visualized tactile-acoustic sensor for accurate artificial perception with high brightness and record-low detection limit.Science advances · 2024Article
- Unlocking 3D printing technology for microalgal production and application.Advanced biotechnology · 2024Review
- Fabrication of Living Entangled Network Composites Enabled by Mycelium.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Bio-Hybrid Magnetic Robots: From Bioengineering to Targeted Therapy.Bioengineering (Basel, Switzerland) · 2024Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mechanosensing, the transduction of extracellular mechanical stimuli into intracellular biochemical signals, is a fundamental property of living cells. However, endowing synthetic materials with mechanosensing capabilities comparable to biological levels is challenging. Here, we developed ultrasensitive and robust mechanoluminescent living composites using hydrogels embedded with dinoflagellates, unicellular microalgae with a near-instantaneous and ultrasensitive bioluminescent response to mechanical stress. Not only did embedded dinoflagellates retain their intrinsic mechanoluminescence, but with hydrophobic coatings, living composites had a lifetime of ~5 months under harsh conditions with minimal maintenance. We 3D-printed living composites into large-scale mechanoluminescent structures with high spatial resolution, and we also enhanced their mechanical properties with double-network hydrogels. We propose a counterpart mathematical model that captured experimental mechanoluminescent observations to predict mechanoluminescence based on deformation and applied stress. We also demonstrated the use of the mechanosensing composites for biomimetic soft actuators that emitted colored light upon magnetic actuation. These mechanosensing composites have substantial potential in biohybrid sensors and robotics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.