Evidence map›Paper›PMID 42102190›Full record

ArticleScience advances2026

Electronics-free soft robotic minitablet for on-demand gastric molecular sensing and diagnostics in vivo.

Chen Wang, Rui Shi, Anatolii Abalymov, Hao Bao, Thomas Ka-Yam Lam, Zihan Wang, Yongfeng Mei, Zongwei Cai, Xiang-Zhong Chen, Sarthak Misra and 1 more

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Chen WangSurgical Robotics Lab, Department of Biomaterials and Biomedical Technology, University Medical Center Groningen, University of Groningen, Groningen 9713 AV, Netherlands.ORCID 0000-0002-1976-6431
Rui ShiState Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China.ORCID 0000-0001-6910-106X
Anatolii AbalymovInternational Institute of Intelligent Nanorobots and Nanosystem, College of Intelligent Robotics and, Advanced Manufacturing, Fudan University, Shanghai 200438, China.ORCID 0000-0002-3957-2706
Hao BaoInternational Institute of Intelligent Nanorobots and Nanosystem, College of Intelligent Robotics and, Advanced Manufacturing, Fudan University, Shanghai 200438, China.
Thomas Ka-Yam LamState Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China.ORCID 0000-0002-0728-0266
Zihan WangSurgical Robotics Lab, Department of Biomaterials and Biomedical Technology, University Medical Center Groningen, University of Groningen, Groningen 9713 AV, Netherlands.ORCID 0000-0001-8606-1733
Yongfeng MeiInternational Institute of Intelligent Nanorobots and Nanosystem, College of Intelligent Robotics and, Advanced Manufacturing, Fudan University, Shanghai 200438, China.ORCID 0000-0002-3314-6108
Zongwei CaiState Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China.ORCID 0000-0002-8724-7684
Xiang-Zhong ChenInternational Institute of Intelligent Nanorobots and Nanosystem, College of Intelligent Robotics and, Advanced Manufacturing, Fudan University, Shanghai 200438, China.ORCID 0000-0002-2294-7487
Sarthak MisraSurgical Robotics Lab, Department of Biomaterials and Biomedical Technology, University Medical Center Groningen, University of Groningen, Groningen 9713 AV, Netherlands.ORCID 0000-0003-4961-0144
Venkatasubramanian K VenkiteswaranDepartment of Biomechanical Engineering, University of Twente, Enschede 7522 NB, Netherlands.ORCID 0000-0002-8600-6715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Biosensing TechniquesElectronicsRoboticsStomachAnimalsBiomarkersHumansHydrogen-Ion ConcentrationBiomarkers

Identifiers

PMID42102190
PMCPMC13155308

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.