A multiscale approach to assess thermomechanical performance and force generation in nanorobotic microgels

We present a multiscale approach to characterize the performance of photothermally powered, nanorobotic 3D microgels. Optically triggered nanoactuators, consisting of a gold nanorod core and thermoresponsive pNIPMAM shell, are used as building blocks to generate the nanorobotic 3D microgels. We use microfluidic encapsulation to physically embed the nanoactuators in an alginate network, to form the microgel droplets. The nanoactuators respond to near-infrared light owing to the synergistic effects of plasmonic and thermoresponsive components, and the nanorobotic 3D microgels generate compressive force under the same light stimulus. We use a multiscale approach to characterize this behavior for both the nanoactuators and the assembled microgels via dynamic light scattering and fluorescence microscopy, respectively. A thermoresponsive fluorescent molecule, Rhodamine B, is integrated into alginate chains to monitor the temperature of the microgels (22-59 °C) during actuation at laser intensities up to 6.4 μW μm-2. Our findings show that nanoactuators and the microgels exhibit reversible deformation above the lower critical solution temperature of the thermoresponsive polymer at 42 °C. 785 nm laser light triggers the generation of 2D radial strain in nanoactuators at a maximum of 44%, which translates to an average 2D radial strain of 2.1% in the nanorobotic microgels at 26.4 vol% nanoactuator loading. We then use a semi-experimental approach to quantify the photothermally generated forces in the microgels. Finite element modeling coupled with experimental measurements shows that nanorobotic microgels generate up to 8.5 nN of force over encapsulated single cells. Overall, our method provides a comprehensive approach to characterizing the mechanical performance of nanorobotic hydrogel networks.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:16

Enthalten in:

Nanoscale - 16(2024), 10 vom: 07. März, Seite 5222-5231

Sprache:

Englisch

Beteiligte Personen:

Wang, Chen [VerfasserIn]
Harder, Philipp [VerfasserIn]
İyisan, Nergishan [VerfasserIn]
Li, Bolin [VerfasserIn]
Hiendlmeier, Lukas [VerfasserIn]
Wolfrum, Bernhard [VerfasserIn]
Özkale, Berna [VerfasserIn]

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Journal Article

Anmerkungen:

Date Revised 07.03.2024

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1039/d3nr06485a

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368441695