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Biosensors
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Microelectronics and MEMS-Based Biosensors for Healthcare Application
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Microelectronics and MEMS-Based Biosensors for Healthcare Application

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".

Deadline for manuscript submissions: closed (31 January 2025) | Viewed by 5087

Special Issue Editors

Prof. Dr. Chengjun Huang

E-Mail Website
Guest Editor
e-Health Electronics Center, Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China
Interests: MEMS, micro/nano sensors, actuators, and systems; microfluidics and lab on a chip, biomedical microdevices and systems; BT-IT; semiconductor chips for life science and healthcare
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Zhen Zhu

E-Mail Website
Guest Editor
School of Integrated Circuits, Key Laboratory of MEMS of Ministry of Education, Southeast University, Wuxi 214082, China
Interests: biosensors; BioMEMS; microfluidics; Lab-on-a-Chip; microfabrication; electrical impedance spectroscopy; wearable devices
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The main topic of this Special Issue concerns microelectronics and MEMS (Micro-Electro-Mechanical-System) devices and technologies for healthcare applications. In this context, this Special Issue aims to gather original articles and reviews demonstrating research advances, innovative applications, new challenges, and future perspectives of the electronic, MEMS-based biosensors in important areas, such as healthcare, biomedicine, and environmental fields, etc.

The research and application of microelectronics in biomedicine and healthcare represent a fast-growing field in the “More Than Moore’s Law” era. Various microelectronic devices and chips, new MEMS mechanisms, and structures have been used for the detection and analysis of vital signs, bio-electronic signals, bio-molecule markers, etc. The emergence of BT (Bio-Technology) and IT (Information Technology) have brought a new and interdisciplinary field.

Prof. Dr. Chengjun Huang
Prof. Dr. Zhen Zhu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biosensors is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • bio-FET (field-effect transistor) biosensors
  • electrical impedance and other electrical-based biosensors
  • 2D materials for biosensing
  • bio-MEMS, bio-MOEMS
  • wearable and flexible devices for healthcare
  • bioelectronics and BT-IT

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

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15 pages, 6513 KiB  
Article
A Wide-Range, Highly Stable Intelligent Flexible Pressure Sensor Based on Micro-Wrinkled SWCNT/rGO-PDMS with Efficient Thermal Shrinkage
by Lei Fan, Zhaoxin Wang, Tao Yang, Qiang Zhao, Zhixin Wu, Yijie Wang, Xue Qi and Lei Zhang
Biosensors 2025, 15(2), 122; https://doi.org/10.3390/bios15020122 - 19 Feb 2025
Cited by 1 | Viewed by 715
Abstract
Flexible pressure sensors have drawn growing attention in areas like human physiological signal monitoring and human–computer interaction. Nevertheless, it still remains a significant challenge to guarantee their long-term stability while attaining a wide detection range, a minute pressure testing limit, and high sensitivity. [...] Read more.
Flexible pressure sensors have drawn growing attention in areas like human physiological signal monitoring and human–computer interaction. Nevertheless, it still remains a significant challenge to guarantee their long-term stability while attaining a wide detection range, a minute pressure testing limit, and high sensitivity. Inspired by the wrinkles on animal skins, this paper introduces a flexible pressure sensor with wrinkled microstructures. This sensor is composed of a composite of reduced graphene oxide (rGO), single-walled carbon nanotubes (SWCNTs), and polydimethylsiloxane (PDMS). After optimizing the proportion of the composite materials, the flexible pressure sensor was manufactured using highly efficient heat-shrinkable films. It has a sensitivity as high as 15.364 kPa−1. Owing to the wrinkled microstructures, the sensor can achieve an ultra-wide pressure detection range, with the maximum reaching 1150 kPa, and is capable of detecting water wave vibrations at the minimum level. Moreover, the wrinkled microstructures were locked by PDMS. The sensor acquired waterproof performance and its mechanical stability was enhanced. Even after 18,000 cycles of repeated loading and unloading, its performance remained unchanged. By combining with an artificial neural network, high-precision recognition of different sounds and postures when grasping different objects was realized, with the accuracies reaching 98.3333% and 99.1111%, respectively. Through the integration of flexible WIFI, real-time wireless transmission of sensing data was made possible. In general, the studied sensor can facilitate the application of flexible pressure sensors in fields such as drowning monitoring, remote traditional Chinese medicine, and intelligent voice. Full article
(This article belongs to the Special Issue Microelectronics and MEMS-Based Biosensors for Healthcare Application)
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18 pages, 13256 KiB  
Article
Equivalent Circuit Modeling and Analysis for Microfluidic Electrical Impedance Monitoring of Single-Cell Growth
by Yingying Wang, Haoran Wu, Yulu Geng, Zhao Zhang, Jiaming Fu, Jia Ouyang and Zhen Zhu
Biosensors 2025, 15(2), 113; https://doi.org/10.3390/bios15020113 - 14 Feb 2025
Viewed by 783
Abstract
Microfluidics has significantly advanced the field of single-cell analysis, particularly in studies related to cell growth, division, and heterogeneity. Electrical impedance spectroscopy (EIS), a label-free and non-invasive biosensing technique, has been integrated into microfluidic devices for high-throughput and long-term monitoring of single budding [...] Read more.
Microfluidics has significantly advanced the field of single-cell analysis, particularly in studies related to cell growth, division, and heterogeneity. Electrical impedance spectroscopy (EIS), a label-free and non-invasive biosensing technique, has been integrated into microfluidic devices for high-throughput and long-term monitoring of single budding yeast cells. Accurate interpretation of EIS measurements of cell growth dynamics necessitates the establishment of theoretical equivalent circuit models for the single-cell sensing system. Here, we report on the development of equivalent circuit models of an in situ EIS sensing system to elucidate cell growth. Firstly, finite element modeling and simulation of an EIS measurement of cell growth in the EIS sensing unit were performed, guiding the fittings of electrical components for an established equivalent circuit model (ECM). From the ECM, we extracted an equivalent volume fraction applicable to various cell and sensing unit geometries to describe the geometry-dependent sensing characteristics corresponding to the electrical response in the model. Then, EIS measurements of an immobilized cell in a microfluidic device were conducted via peripheral circuits. A lumped parameter model for the entire EIS measurement system was established, with electrical components determined by fitting to experimental data. The rationality of the proposed theoretical model was validated through the long-term impedance variation induced by cell growth in experiments, demonstrating its feasibility in linking EIS data with the bio-physics underlying the experimental phenomenon. Full article
(This article belongs to the Special Issue Microelectronics and MEMS-Based Biosensors for Healthcare Application)
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Review

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54 pages, 9948 KiB  
Review
The Versatility of Biological Field-Effect Transistor-Based Biosensors (BioFETs) in Point-of-Care Diagnostics: Applications and Future Directions for Peritoneal Dialysis Monitoring
by Quan Wang, Zi-An Zhao, Ke-Yu Yao, Yuk-Lun Cheng, Dexter Siu-Hong Wong, Duo Wai-Chi Wong and James Chung-Wai Cheung
Biosensors 2025, 15(3), 193; https://doi.org/10.3390/bios15030193 - 18 Mar 2025
Viewed by 744
Abstract
Peritoneal dialysis (PD) is a vital treatment for end-stage renal disease patients, but its efficacy is often compromised by complications such as infections and peritoneal fibrosis. Biological field-effect transistors (BioFETs) present a promising solution for rapid, sensitive, and non-invasive detection of indicators and [...] Read more.
Peritoneal dialysis (PD) is a vital treatment for end-stage renal disease patients, but its efficacy is often compromised by complications such as infections and peritoneal fibrosis. Biological field-effect transistors (BioFETs) present a promising solution for rapid, sensitive, and non-invasive detection of indicators and biomarkers associated with these complications, potentially enabling early intervention. However, BioFETs are yet to be adopted for PD monitoring. This review presents a forward-looking analysis of the capacity and potential integration of BioFETs into PD management systems, highlighting their capacity to monitor both routine indicators of dialysis efficiency and metabolic status, as well as specific biomarkers for complications such as inflammation and fibrosis. We examine the challenges in adapting BioFETs for PD applications, focusing on key areas for improvement, including sensitivity, specificity, stability, reusability, and clinical integration. Furthermore, we discuss various approaches to address these challenges, which are crucial for developing point-of-care (PoC) and multiplexed wearable devices. These advancements could facilitate continuous, precise, and user-friendly monitoring, potentially revolutionizing PD complication management and enhancing patient care. Full article
(This article belongs to the Special Issue Microelectronics and MEMS-Based Biosensors for Healthcare Application)
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