Multimaterial Microrobots for pH Sensing Fabricated Using Sequential 3D and 4D Printing with Automated Alignment
Source abstract
Abstract
Abstract Microscale pH sensing is important for the study and control of biological and chemical processes. While current tools for microscale pH measurements have their limitations, microrobots are a promising alternative. In this work, the use of multimaterial microrobots for microscale pH sensing is proposed. The microrobots consist of a hard polymer backbone, enabling transportation using optical trapping, and 4D printed smart material sensing elements. A custom automated alignment program is employed to ensure rapid and accurate alignment of the smart material onto the hard polymer backbone. The potential of the microrobots for pH sensing is demonstrated with visual readout from optical microscopy images. The hydrogel sensing elements exhibit a 32 ± 11% size increase from pH 2.3 to 8.8, most of which occurs between ≈pH 5 and ≈pH 7. The swelling performance shows no significant change after repeated cycling from acidic to neutral pH and storage for up to 2 months. When assessing the mobility of the microrobots, speeds of ≈14 µm s −1 can be reached using optical trapping in a phosphate‐buffered saline solution. The swelling response, reusability, and high mobility of the microrobots make them promising tools for pH sensing in microfluidic devices.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: 3D Printing in Biomedical Research · Micro and Nano Robotics · Nanofabrication and Lithography Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National Centre for Nano Fabrication and Characterization (DTU Nanolab) Technical University of Denmark Ørsted Plads 347 Kongens Lyngby 2800 Denmark
School of Chemistry & AMBER Trinity College Dublin Pearse St. Dublin 2 D02 CP49 Ireland
Funding
Danmarks Frie Forskningsfond · Novo Nordisk Fonden · Science Foundation Ireland · Engineering and Physical Sciences Research Council · H2020 European Research Council
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