Intelligent Generic High‐Throughput Oscillatory Shear Technology Fabricates Programmable Microrobots for Real‐Time Visual Guidance During Embolization DOI
Xuqi Peng,

Haitian Tang,

Zhenwen Zhao

et al.

Small, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 15, 2024

Abstract Microrobots for endovascular embolization face challenges in precise delivery within dynamic blood vessels. Here, an intelligent generic high‐throughput oscillatory shear technology (iGHOST) is proposed to fabricate diversely programmable, multifunctional microrobots capable of real‐time visual guidance vivo embolization. Leveraging machine learning (ML), key synthesis parameters affecting the success and sphericity are identified. Therefore, ML‐optimized iGHOST enables continuous production uniform with programmable sizes (400−1000 µm) at ultrahigh rate exceeding 240 mL h −1 by segmenting fluid into droplets before ionic cross‐linking, without requiring purification. Particularly, iGHOST‐fabricated magnetically responsive lipiodol‐calcium alginate (MagLiCA) highly distinguishable under X‐ray imaging, which allows navigation flows up 4 min accurate liver kidney vessels, thus addressing current issues. Crucially, MagLiCA possess drug‐loading capabilities, enabling simultaneous site‐specific treatment. The process intelligent, rapid, green manufacturing method, can produce size‐controllable, potential drug treatment imaging across various medical applications.

Language: Английский

Tunable circularly polarized luminescence of hybrid supramolecular nanofibers based on a cinnamic acid gelator and spiropyran by photoisomerization DOI

Qiuya Yang,

Xueli Liu,

Zhichao Xu

et al.

Advanced Composites and Hybrid Materials, Journal Year: 2024, Volume and Issue: 7(4)

Published: July 8, 2024

Language: Английский

Citations

10
Nonaqueous G-Quadruplex Ionogels DOI

Zeyi Wang,

Yuzhen Qian,

Guozhen Wang

et al.

Langmuir, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 2, 2025

Supramolecular ionogels, as an emerging class of materials, utilize the intriguing properties ionic liquids (ILs) and offer a promising method for constructing functional materials in anhydrous solvents. G-Quadruplex, assembled from guanine-rich nucleic acid building blocks, is important structure closely associated with life leads to gelation versatile such electrolytes supercapacitors. Herein, we design fabricate G-quadruplex ionogels using unreported cation. Among metal acetylacetonates under investigation, iron(III) acetylacetonate distinctive its capacity stabilize G-quadruplexes through reaction solvent ethylammonium nitrate (EAN), resulting formation Fe(acac)2+. The ionogel displays high conductivity (6.43 mS·cm-1), wide electrochemical stability window (2.86 V), self-healing properties. supercapacitor based on electrolyte delivers gravimetric capacitance 91.8 F·g-1, energy density 32.6 W h/kg, power 319.8 W/kg at current 0.2A·g-1. Therefore, present findings have implications deepening understanding structures complexes provide approach fabricating high-performance

Language: Английский

Citations

0
Circularly Polarized Room-Temperature Phosphorescence from Marine Polysaccharide-Based Helical Assemblies DOI
Mingjie Wang, Zhaocun Shen, Fang Zhang

et al.

ACS Materials Letters, Journal Year: 2025, Volume and Issue: unknown, P. 1171 - 1178

Published: Feb. 24, 2025

Language: Английский

Citations

0
ChiGNN: Interpretable Algorithm Framework of Molecular Chiral Knowledge-Embedding and Stereosensitive Property Prediction DOI
Jiaxin Yan, Haiyuan Wang, Wensheng Yang

et al.

Journal of Chemical Information and Modeling, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

Molecular chirality-related tasks have remained a notable challenge in materials machine learning (ML) due to the subtle spatial discrepancy between enantiomers. Designing appropriate steric molecular descriptions and embedding chiral knowledge are of great significance for improving accuracy interpretability ML models. In this work, we propose state-of-the-art deep framework, Chiral Graph Neural Network, which can effectively incorporate physicochemical via Trinity stereosensitive Message Aggregation encoding. Combined with quantile regression technique, chromatographic retention time prediction model outperformed existing records. Accounting inherent merits customized Mask Contribution Splitting techniques enable multilevel interpretation model's decision mechanism at atomic, functional group, hierarchy levels. This has both scientific practical implications understanding separation selection stationary phases. Moreover, proposed interpretable together stereomolecular representation, method, technique within it, also provide an extensible template precedent future or tasks.

Language: Английский

Citations

0
Efficient chiral hydrogel template based on supramolecular self-assembly driven by chiral carbon dots for circularly polarized luminescence DOI
Zhiwei Zhang,

Dong Wang,

Xuetao Yan

et al.

Journal of Colloid and Interface Science, Journal Year: 2024, Volume and Issue: 674, P. 576 - 586

Published: June 27, 2024

Language: Английский

Citations

3
Intelligent Generic High‐Throughput Oscillatory Shear Technology Fabricates Programmable Microrobots for Real‐Time Visual Guidance During Embolization DOI
Xuqi Peng,

Haitian Tang,

Zhenwen Zhao

et al.

Small, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 15, 2024

Abstract Microrobots for endovascular embolization face challenges in precise delivery within dynamic blood vessels. Here, an intelligent generic high‐throughput oscillatory shear technology (iGHOST) is proposed to fabricate diversely programmable, multifunctional microrobots capable of real‐time visual guidance vivo embolization. Leveraging machine learning (ML), key synthesis parameters affecting the success and sphericity are identified. Therefore, ML‐optimized iGHOST enables continuous production uniform with programmable sizes (400−1000 µm) at ultrahigh rate exceeding 240 mL h −1 by segmenting fluid into droplets before ionic cross‐linking, without requiring purification. Particularly, iGHOST‐fabricated magnetically responsive lipiodol‐calcium alginate (MagLiCA) highly distinguishable under X‐ray imaging, which allows navigation flows up 4 min accurate liver kidney vessels, thus addressing current issues. Crucially, MagLiCA possess drug‐loading capabilities, enabling simultaneous site‐specific treatment. The process intelligent, rapid, green manufacturing method, can produce size‐controllable, potential drug treatment imaging across various medical applications.

Language: Английский

Citations

0