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Biosensors
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Biophysical Sensors for Biomedical/Health Monitoring Applications (2nd Edition)
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Biophysical Sensors for Biomedical/Health Monitoring Applications (2nd Edition)

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

Deadline for manuscript submissions: 30 September 2026 | Viewed by 12680

Special Issue Editor

Dr. Sang Min Won

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, Sungkyunkwan University, Seoul 16419, Republic of Korea
Interests: biophysical sensors; flexible microsystems; biomedical device; implantable electronics; bio-integrated electronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Engineering control over material forms and structures provides tissue-compliant, flexible, and stretchable classes of biophysical sensors and microsystems that facilitate both fundamental biological research and biomedical diagnosis. Examples of recent advanced systems combine theoretical and experimental efforts in materials (e.g., metals, semiconductors, carbon, and liquid metals) and sensory transduction (e.g., piezoresistance, acoustic waves, optics, and capacitance) for monitoring diverse biophysical signals (e.g., strain, pressure, ultrasound, temperature, and vibration). The complete systems are well configured for a range of applications, such as human health monitoring, robotic prosthesis control, acoustic-based care systems, and measuring activities inside the body. This Special Issue aims to highlight recent advanced biophysical sensors in such biocompatible configurations.

The scope of the Special Issue encompasses the following:

  • Unconventional biophysical sensor geometry and configuration;
  • Novel methodology and concepts for sensing biophysical signals (strain, pressure, ultrasound, temperature, etc.);
  • Theoretical study of sensor mechanics;
  • Biophysical sensors and systems for biomedical applications;
  • Novel methodology to process monitored biophysical datasets.

Dr. Sang Min Won
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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

  • biophysical sensor
  • flexible device
  • biointegrated electronics
  • stretchable microsystem
  • implantable electronics
  • biomedical device
  • health monitoring

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

Published Papers (4 papers)

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Research

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18 pages, 51753 KB  
Article
An LSPR-Active AuNP–Silicone Hydrogel Contact Lens for Continuous Ocular Strain Sensing: From Engineering Design to In Vivo Validation
by Yu Tang, Luhua Meng, Yun Liu and Xiang Ma
Biosensors 2026, 16(5), 296; https://doi.org/10.3390/bios16050296 - 20 May 2026
Abstract
Continuous intraocular pressure (IOP) monitoring is crucial for glaucoma management. Currently, traditional static IOP measurements often fail to detect circadian fluctuations, leading to a clinical dilemma where “normal IOP” is observed despite persistent visual field deterioration. This study presents a wireless, passive localized [...] Read more.
Continuous intraocular pressure (IOP) monitoring is crucial for glaucoma management. Currently, traditional static IOP measurements often fail to detect circadian fluctuations, leading to a clinical dilemma where “normal IOP” is observed despite persistent visual field deterioration. This study presents a wireless, passive localized surface plasmon resonance (LSPR) sensing platform integrated into flexible silicone hydrogel contact lenses. Gold nanoparticles (AuNPs), synthesized via the sodium citrate reduction method, were incorporated into the lens periphery using a “swelling-induced nano-doping” technique to transduce IOP-induced corneal strain into detectable spectral shifts. Ex vivo porcine eye investigations established a physical mapping model, confirming significant LSPR peak wavelength response trends in correlation with IOP variations (10–50 mmHg) and corneal curvature changes. Subsequent 21-day in vivo rabbit studies demonstrated excellent ocular surface biocompatibility; quantitative histopathological analysis (HE, PAS, and Ki67 staining) revealed no significant adverse alterations in corneal endothelial cell density or conjunctival goblet cell function compared to control groups (p > 0.05). Furthermore, the platform maintained high structural integrity and anterior segment tolerance under transient high-IOP conditions. While currently a proof-of-concept, these results indicate that the LSPR-active hybrid system effectively captures dynamic IOP fluctuation patterns as an optical response to acute interventions, providing a foundational engineering path for next-generation, battery-free wearable diagnostics in personalized glaucoma care without the need for built-in electronics. Full article
(This article belongs to the Special Issue Biophysical Sensors for Biomedical/Health Monitoring Applications (2nd Edition))
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20 pages, 3637 KB  
Article
Denoising Non-Invasive Electroespinography Signals by Different Cardiac Artifact Removal Algorithms
by Desirée I. Gracia, Eduardo Iáñez, Mario Ortiz and José M. Azorín
Biosensors 2026, 16(2), 82; https://doi.org/10.3390/bios16020082 - 29 Jan 2026
Viewed by 1077
Abstract
The non-invasive recording of spinal cord neuronal activity, also known as electrospinography (ESG), using high-density surface electromyography (HD-sEMG) is a promising emerging biosensing modality. However, these recordings often contain electrocardiographic (ECG) artifacts that must be removed for accurate analysis. Given the emerging nature [...] Read more.
The non-invasive recording of spinal cord neuronal activity, also known as electrospinography (ESG), using high-density surface electromyography (HD-sEMG) is a promising emerging biosensing modality. However, these recordings often contain electrocardiographic (ECG) artifacts that must be removed for accurate analysis. Given the emerging nature of ESG and the lack of dedicated signal processing methods, this study assesses the performance of seven established EMG denoising algorithms for their ability to preserve the broad spectral bandwidth needed for future ESG characterization: Template Subtraction (TS), Adaptive Template Subtraction (ATS), High-Pass Filtering at 200 Hz (HP200), ATS combined with HP200, Second-Order Extended Kalman Smoother (EKS2), Stationary Wavelet Transform (SWT), and Empirical Mode Decomposition (EMD). Performance was quantified using six metrics: Relative Error (RE), Signal-to-Noise Ratio (SNR), Cross-Correlation (CC), Spectral Distortion (SD), and Kurtosis Ratio (KR2) and its variation (ΔKR2). ESG data were recorded from nine healthy participants at brachial and lumbar plexus sites with various electrode configurations. ATS consistently outperformed all other methods in suppressing cardiac artifacts of varying shapes. Although it did not fully preserve low-frequency content, ATS achieved the best balance between artifact removal and signal integrity. Algorithm performance improved when ECG contamination was lower, especially in brachial plexus recordings with closer reference electrodes. Full article
(This article belongs to the Special Issue Biophysical Sensors for Biomedical/Health Monitoring Applications (2nd Edition))
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13 pages, 1808 KB  
Article
Prediction of Thrombus Formation within an Oxygenator via Bioimpedance Analysis
by Jan Korte, Tobias Lauwigi, Lisa Herzog, Alexander Theißen, Kai Suchorski, Lasse J. Strudthoff, Jannis Focke, Sebastian V. Jansen, Thomas Gries, Rolf Rossaint, Christian Bleilevens and Patrick Winnersbach
Biosensors 2024, 14(10), 511; https://doi.org/10.3390/bios14100511 - 18 Oct 2024
Cited by 2 | Viewed by 2914
Abstract
Blood clot formation inside the membrane oxygenator (MO) remains a risk in extracorporeal membrane oxygenation (ECMO). It is associated with thromboembolic complications and normally detectable only at an advanced stage. Established clinical monitoring techniques lack predictive capabilities, emphasizing the need for refinement in [...] Read more.
Blood clot formation inside the membrane oxygenator (MO) remains a risk in extracorporeal membrane oxygenation (ECMO). It is associated with thromboembolic complications and normally detectable only at an advanced stage. Established clinical monitoring techniques lack predictive capabilities, emphasizing the need for refinement in MO monitoring towards an early warning system. In this study, an MO was modified by integrating four sensor fibers in the middle of the hollow fiber mat bundle, allowing for bioimpedance measurement within the MO. The modified MO was perfused with human blood in an in vitro test circuit until fulminant clot formation. The optical analysis of clot residues on the extracted hollow fibers showed a clot deposition area of 51.88% ± 14.25%. This was detectable via an increased bioimpedance signal with a significant increase 5 min in advance to fulminant clot formation inside the MO, which was monitored by the clinical gold standard (pressure difference across the MO (dp-MO)). This study demonstrates the feasibility of detecting clot growth early and effectively by measuring bioimpedance within an MO using integrated sensor fibers. Thus, bioimpedance may even outperform the clinical gold standard of dp-MO as a monitoring method by providing earlier clot detection. Full article
(This article belongs to the Special Issue Biophysical Sensors for Biomedical/Health Monitoring Applications (2nd Edition))
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Review

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25 pages, 3044 KB  
Review
Heavy Metal–Gut Microbiota Interactions: Probiotics Modulation and Biosensors Detection
by Liliana Anchidin-Norocel, Oana C. Iatcu, Andrei Lobiuc and Mihai Covasa
Biosensors 2025, 15(3), 188; https://doi.org/10.3390/bios15030188 - 14 Mar 2025
Cited by 18 | Viewed by 7879
Abstract
This study provides a comprehensive analysis of the complex interaction between heavy metals (HMs) and the gut microbiota, adopting a bidirectional approach that explores both the influence of HMs on the gut microbiota populations and the potential role of probiotics in modulating these [...] Read more.
This study provides a comprehensive analysis of the complex interaction between heavy metals (HMs) and the gut microbiota, adopting a bidirectional approach that explores both the influence of HMs on the gut microbiota populations and the potential role of probiotics in modulating these changes. By examining these interconnected aspects, the study aims to offer a deeper understanding of how HMs disrupt microbial balance and how probiotic interventions may mitigate or reverse these effects, promoting detoxification processes and overall gut health. In addition, the review highlights innovative tools, such as biosensors, for the rapid, precise, and non-invasive detection of HMs in urine. These advanced technologies enable the real-time monitoring of the effectiveness of probiotic-based interventions, offering critical insights into their role in promoting the elimination of HMs from the body and improving detoxification. Full article
(This article belongs to the Special Issue Biophysical Sensors for Biomedical/Health Monitoring Applications (2nd Edition))
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