Hybrid Plasmonic Bioresins and dECM-Based Materials for Volumetric Bioprinting of Vascular-Inspired Architectures

Synergizing nanomaterial technology with advanced 3D printing techniques creates new opportunities for developing smart, stimuli-responsive materials suitable for tissue engineering scaffolds. By incorporation of stimuli-responsive nanoparticles into extracellular matrix mimetics, these composites gain functional elements capable of replicating dynamic biological processes in vitro. Herein, we propose combining hybrid multifunctional inorganic–organic materials with the emerging volumetric bioprinting (VBP) technique. We present two hybrid materials, a light stimuli-responsive polymer-based resin and a biocompatible porcine-derived decellularized extracellular matrix (dECM)-based bioresin, thus expanding the library of materials suitable for VBP. Plasmonic nanoparticles are combined with a thermoresponsive polymeric matrix, formulating the stimuli-responsive plasmonic resin, while a dECM-based bioresin with embedded smooth muscle cells (SMCs) is employed to include the biological component in the system. As proof of concept to demonstrate the versatility of the hybrid materials, we investigated the generation of highly complex structures, including multiwalled channels, using sequential VBP. Overall, this study broadens the range of materials compatible with VBP, thereby enabling the use of smart multicomponent materials in the fabrication of dynamic, stimuli-responsive 3D in vitro models.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15813729
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid Plasmonic Bioresins and dECM-Based Materials for Volumetric Bioprinting of Vascular-Inspired Architectures

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Hybrid Plasmonic Bioresins and dECM-Based Materials for Volumetric Bioprinting of Vascular-Inspired Architectures

article en

Abstract

Synergizing nanomaterial technology with advanced 3D printing techniques creates new opportunities for developing smart, stimuli-responsive materials suitable for tissue engineering scaffolds. By incorporation of stimuli-responsive nanoparticles into extracellular matrix mimetics, these composites gain functional elements capable of replicating dynamic biological processes in vitro. Herein, we propose combining hybrid multifunctional inorganic–organic materials with the emerging volumetric bioprinting (VBP) technique. We present two hybrid materials, a light stimuli-responsive polymer-based resin and a biocompatible porcine-derived decellularized extracellular matrix (dECM)-based bioresin, thus expanding the library of materials suitable for VBP. Plasmonic nanoparticles are combined with a thermoresponsive polymeric matrix, formulating the stimuli-responsive plasmonic resin, while a dECM-based bioresin with embedded smooth muscle cells (SMCs) is employed to include the biological component in the system. As proof of concept to demonstrate the versatility of the hybrid materials, we investigated the generation of highly complex structures, including multiwalled channels, using sequential VBP. Overall, this study broadens the range of materials compatible with VBP, thereby enabling the use of smart multicomponent materials in the fabrication of dynamic, stimuli-responsive 3D in vitro models.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Scientific Computing and Data Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.