Novel Micromachine Systems Enabled Tissue Characterization and Physiological Monitoring

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B:Biology and Biomedicine".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 1688

Special Issue Editor


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Guest Editor
Department of Nanoengineering, University of California San Diego, La Jolla, CA 92093, USA
Interests: soft electronics; tissue characterization; ultrasound imaging; healthcare
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Special Issue Information

Dear Colleagues,

Emerging micromachine technology is paving the way for advancements in tissue characterization and physiological monitoring. However, transitioning these advances to solve clinical challenges remains unresolved—where reducing motion artifacts, improved sensitivity, and multiplexed sensing are paramount. Thus, there is an urgent need for advanced micromachine systems and sensor designs for healthcare applications.

This Special Issue aims to explore the latest advancements and innovations in micromachine systems designed for tissue characterization and physiological monitoring. We invite original research articles, reviews, and case studies that cover a broad range of topics, including but not limited to, the following:

  • Development of micromachine systems for non-invasive tissue characterization;
  • Innovative sensors and actuators for tissue characterization;
  • Integration of micromachines with biomedical devices;
  • Miniaturization and fabrication technologies for micromachines;
  • Novel materials and their applications in micromachine systems;
  • Wireless and implantable micromachine systems for physiological monitoring;
  • Challenges and future directions in micromachine-enabled medical technologies.

Dr. Muyang Lin
Guest Editor

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Keywords

  • micromachine system
  • tissue characterization
  • ultrasound
  • healthcare
  • wearable sensor

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Published Papers (1 paper)

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Research

14 pages, 2641 KiB  
Article
Vacuum Filtration-Coated Silver Electrodes Coupled with Stacked Conductive Multi-Walled Carbon Nanotubes/Mulberry Paper Sensing Layers for a Highly Sensitive and Wide-Range Flexible Pressure Sensor
by Guanhai Yan, Dongrui Dang, Sheng Chang, Xuefeng Zhang, Jinhua Zhang and Zhengdong Wang
Micromachines 2024, 15(11), 1306; https://doi.org/10.3390/mi15111306 - 28 Oct 2024
Cited by 1 | Viewed by 1265
Abstract
Flexible pressure sensors based on paper have attracted considerable attention owing to their good performance, low cost, and environmental friendliness. However, effectively expanding the detection range of paper-based sensors with high sensitivities is still a challenge. Herein, we present a paper-based resistive pressure [...] Read more.
Flexible pressure sensors based on paper have attracted considerable attention owing to their good performance, low cost, and environmental friendliness. However, effectively expanding the detection range of paper-based sensors with high sensitivities is still a challenge. Herein, we present a paper-based resistive pressure sensor with a sandwich structure consisting of two electrodes and three sensing layers. The silver nanowires were dispersed deposited on a filter paper substrate using the vacuum filtration coating method to prepare the electrode. And the sensing layer was fabricated by coating carbon nanotubes onto a mulberry paper substrate. Waterborne polyurethane was introduced in the process of preparing the sensing layers to enhance the strength of the interface between the carbon nanotubes and the mulberry paper substrate. Therefore, the designed sensor exhibits a good sensing performance by virtue of the rational structure design and proper material selection. Specifically, the rough surfaces of the sensing layers, porous conductive network of silver nanowires on the electrodes, and the multilayer stacked structure of the sensor collaboratively increase the change in the surface contact area under a pressure load, which improves the sensitivity and extends the sensing range simultaneously. Consequently, the designed sensor exhibits a high sensitivity (up to 6.26 kPa−1), wide measurement range (1000 kPa), low detection limit (~1 Pa), and excellent stability (1000 cycles). All these advantages guarantee that the sensor has potential for applications in smart wearable devices and the Internet of Things. Full article
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