Electronics-free soft robotic minitablet for on-demand gastric molecular sensing and diagnostics in vivo.
Real-time biomarker sensing and molecular sampling in the stomach can transform how gastrointestinal disorders are diagnosed and managed-yet integrating both capabilities into a single ingestible platform remains a formidable challenge. Existing devices often struggle with size constraints, limited functionality, and the mechanical mismatch between soft, biocompatible materials and rigid electronics. Here, we present SeroTab, an electronics-free soft robotic minitablet that combines real-time pH sensing with on-demand gastric fluid sampling in vivo. Inspired by the gliding motion of penguins through viscous environments, SeroTab features a magnetically actuated, curvature-adaptive body that enables autonomous navigation through complex anatomical geometries to specific gastric regions. Upon reaching its target, a shape memory polymer actuator-triggered wirelessly via radio frequency heating-draws gastric fluid into an internal reservoir (up to 35 microliters). A pH-sensitive hydrogel within the chamber, embedded with biocompatible metal disks, enables ultrasound-based pH readout across a physiologically relevant range (pH 2 to 7) and preserves the sample for untargeted metabolomic profiling. In vivo studies in animal models demonstrate SeroTab's ability to detect pharmacologically induced pH changes (ΔpH = 4, from 2 to 6) and metabolic shifts (42 detected metabolites) following omeprazole administration. By uniting soft robotics, responsive materials, and wireless actuation, SeroTab paves the way for minimally invasive, outpatient-compatible diagnostics that can advance early screening and streamline clinical decision-making.
Authors
- Venkatasubramanian Kalpathy Venkiteswaran (ORCID: https://orcid.org/0000-0002-8600-6715)
- Xiangzhong Chen (ORCID: https://orcid.org/0000-0002-2294-7487)
- Rui Shi
- Yongfeng Mei (ORCID: https://orcid.org/0000-0002-3314-6108)
- Sarthak Misra (ORCID: https://orcid.org/0000-0003-4961-0144)
- Chen Wang (ORCID: https://orcid.org/0000-0002-1976-6431)
- Zihan Wang (ORCID: https://orcid.org/0000-0001-8606-1733)
- Zongwei Cai
- Thomas Ka-Yam Lam
- Hao Bao
- Anatolii Abalymov
Institutions
- University Medical Center Groningen (NL)
- Hong Kong Baptist University (HK)
- Fudan University (CN)
- Robotics Research (United States) (US)
- Yiwu Science and Technology Research Institute (CN)
- Eastern Institute of Technology, Ningbo
- University of Twente (NL)
Publication Details
- Journal
- PubMed
- Published
- 2026-05-08
- DOI
- https://doi.org/10.1126/sciadv.aea3309
- Primary Topic
- Hydrogels: synthesis, properties, applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00