PH Sensor-Embedded Magnetically Driven Capsule for H. pylori Infection Diagnosis

Heesu An, Jihun Lee, Hyeonwoo Kee, Sukho Park

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The Campylobacter-like organism (CLO) test is the most commonly employed test for diagnosing Helicobacter pylori (H. pylori) infection in the stomach. Since the CLO test is an invasive method, minimally invasive methods have been proposed. However, the proposed methods exhibit relatively low specificity and sensitivity. In this letter, a novel H. pylori infection diagnosis method that uses a pH sensor-embedded magnetically driven capsule is proposed. The proposed method adopts the principle of the CLO test to diagnose H. pylori infection minimally invasively. The capsule comprises two chambers to sample gastric juice, and a pH sensor is embedded inside each chamber. Therefore, H. pylori infection can be diagnosed using the urea hydrolysis property of H. pylori and a pH sensor embedded in the chambers of the capsule. In addition, the capsule can be magnetically actuated using an external magnetic field owing to its neodymium-magnet. The performance of the proposed capsule was evaluated in several aspects. First, the sensing ability of the fabricated pH sensor was verified using a pH buffer solution. Second, the magnetic actuation capacity of the capsule was evaluated using a 6-coil electromagnetic actuation (EMA) system. Third, the gastric juice sampling and pH-sensing capabilities of the assembled capsule were evaluated using a phantom test. Finally, the ability to diagnose H. pylori infection was validated using an ex vivo test. Consequently, this letter highlights the potential feasibility of establishing an H. pylori infection diagnosis method using a pH sensor-embedded magnetically driven capsule.

Original languageEnglish
Pages (from-to)9067-9074
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume7
Issue number4
DOIs
StatePublished - 1 Oct 2022

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Medical robots and systems
  • development and prototyping
  • micro/nano robots
  • product design

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