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Bioimpedance Measurements and Microelectrodes

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: 25 January 2026 | Viewed by 4167

Special Issue Editors


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Guest Editor
Instituto de Microelectronica de Sevilla (US/IMSE), Universidad de Sevilla, 41004 Sevilla, Spain
Interests: biomedical circuits and systems; bio-sensors; laboratory on-a-chip (LoC); bioimpedance; microelectrode; design for test
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Instituto de Microelectronica de Sevilla (US/IMSE), Universidad de Sevilla, 41004 Sevilla, Spain
Interests: bioimpedance; biomedical circuits and systems; analog integrated circuit design; wearable devices; biosensors; stem cells electro-stimulation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
Seville Institute of Microelectronics, Seville, Spain
Interests: bioimpedance

Special Issue Information

Dear Colleagues,

Bioimpedance measurements are an essential technique in the field of biomedicine, used to analyze the electrical properties of biological tissues, cells and other biological samples. By applying a small electrical current and measuring the resulting voltage, bioimpedance can provide valuable information about tissue composition, cellular health, and physiological processes. This Special Issue delves into the latest advancements and applications of bioimpedance measurements, with a particular emphasis on the role of microelectrodes.

Microelectrodes have become pivotal in enhancing the precision and effectiveness of bioimpedance measurements. Due to their small size, they allow for high-resolution recordings and can access regions that are difficult to measure with traditional electrodes. This makes them ideal for minimally invasive procedures, providing detailed data while reducing patient discomfort and risk.

The articles in this issue should explore various facets of bioimpedance and microelectrode technology. Topics of interest include innovations in microelectrode design, improvements in bioimpedance measurement techniques, and the integration of these technologies in clinical and research settings. Applications range from cardiac monitoring and neural activity recording to cancer detection, cellular analysis, and tissue engineering.

By bringing together cutting-edge research and practical applications, this Special Issue aims to highlight the transformative potential of bioimpedance measurements and microelectrode technology in modern medicine.

The topic of bioimpedance measurements and microelectrode technology aligns perfectly with the scope of Sensors for several reasons:

  1. Innovative sensor technology: Bioimpedance measurement systems and microelectrodes are at the forefront of sensor innovation. Microelectrodes, as highly sensitive and miniaturized sensors, provide critical advancements in the ability to measure electrical properties of biological entities with high precision and resolution.
  2. Biomedical applications: The application of bioimpedance sensors in medical diagnostics and research exemplifies the use of sensor technology to address complex biomedical challenges. This includes applications such as cardiac monitoring, neural activity recording, cancer detection, and tissue engineering, which are all within the interest of the readership of Sensors.
  3. Integration and systems development: The integration of bioimpedance sensors and microelectrodes into complex systems for real-time monitoring and diagnostics represents significant progress in sensor system development. This includes the design, optimization, and deployment of sensor networks and systems in healthcare settings.
  4. Technological advancements: Advances in microelectrode design, materials, and fabrication techniques are pivotal for the development of next-generation sensors. These technological advancements contribute to the broader field of sensor technology, aligning with the journal's emphasis on cutting-edge research and innovation.
  5. Multidisciplinary approach: Bioimpedance and microelectrode research is inherently multidisciplinary, encompassing fields such as biomedical engineering, materials science, electrical engineering, and physiology. This multidisciplinary nature is a key aspect of Sensors, which encourages contributions that span across different scientific and engineering disciplines.
  6. Impact on sensor development: Research on bioimpedance and microelectrodes impacts the development of sensors for various applications beyond biomedicine, including environmental monitoring, food safety, and industrial applications. This broad impact is relevant to the diverse topics covered by Sensors.

By focusing on these aspects, the topic of bioimpedance measurements and microelectrode technology fits seamlessly within the scope of Sensors, contributing to the advancement of sensor technology and its application in a wide range of fields.

Prof. Dr. Gloria Huertas
Dr. Alberto Yufera
Guest Editors

Dr. Santiago Fernández Scagliusi
Guest Editor Assistant

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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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

  • bioimpedance
  • microelectrodes
  • biomedical diagnostics
  • electrical properties of biological samples
  • cellular health
  • high-resolution measurements
  • minimally invasive techniques
  • microelectrode design
  • bioimpedance systems
  • tissue characterization
  • cellular analysis
  • clinical applications
  • electrophysiology
  • tissue engineering
  • cancer detection
  • neural recording
  • physiological processes

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Published Papers (4 papers)

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Research

16 pages, 3900 KiB  
Article
Classifying Storage Temperature for Mandarin (Citrus reticulata L.) Using Bioimpedance and Diameter Measurements with Machine Learning
by Daesik Son, Siun Lee, Sehyeon Jeon, Jae Joon Kim and Soo Chung
Sensors 2025, 25(8), 2627; https://doi.org/10.3390/s25082627 - 21 Apr 2025
Viewed by 214
Abstract
Mandarin (Citrus reticulata L.) is consumed worldwide. Improper storage temperatures cause flavor loss and shorten shelf lives, reducing marketability. Mandarins’ quality is difficult to assess visually, as they show no apparent changes during storage. Therefore, a simple, non-destructive method is needed to [...] Read more.
Mandarin (Citrus reticulata L.) is consumed worldwide. Improper storage temperatures cause flavor loss and shorten shelf lives, reducing marketability. Mandarins’ quality is difficult to assess visually, as they show no apparent changes during storage. Therefore, a simple, non-destructive method is needed to assess their freshness as affected by temperature. This work utilized non-invasive bioimpedance spectroscopy (BIS) on mandarins stored at different temperatures. Eight machine learning (ML) models were trained with bioimpedance data to classify storage temperature. Also, we confirmed whether integrating diameter and time-series changes into the bioimpedance could improve the ML models’ accuracies by minimizing sample variations. Additionally, we evaluated the effectiveness of equivalent circuit (EC) parameters derived from bioimpedance data for ML training. Although slightly less accurate than using raw bioimpedance data, EC parameters can efficiently reduce data dimensionality. Among all models, the SVM model trained with changes in bioimpedance integrated with diameter data achieved the highest accuracy of 0.92. It was a significant improvement compared to the accuracy of 0.76 achieved when using only the raw bioimpedance data. Thus, this study suggests a novel method of integrating diameter and bioimpedance changes to assess the storage temperature of mandarins. This approach can also be applied to other fruits when utilizing BIS. Full article
(This article belongs to the Special Issue Bioimpedance Measurements and Microelectrodes)
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19 pages, 3343 KiB  
Article
Bioimpedance Analysis of Cucumber Plants Exposed to Different Nitrogen Doses Under Greenhouse Conditions
by Flórián Kovács, Katalin Juhos, Zoltán Vizvári, Péter Odry, Ingrid M. Gyalai, Peter Sarcevic and Ákos Odry
Sensors 2025, 25(8), 2486; https://doi.org/10.3390/s25082486 - 15 Apr 2025
Viewed by 214
Abstract
Nitrogen (N) availability is critical for cucumber (Cucumis sativus L.) growth and yield in greenhouse production. In this study, we investigated the effects of different N doses on the bioimpedance spectroscopy (BIS) parameters of cucumber plants (ES.22.17 F1 genotype), focusing on extracellular [...] Read more.
Nitrogen (N) availability is critical for cucumber (Cucumis sativus L.) growth and yield in greenhouse production. In this study, we investigated the effects of different N doses on the bioimpedance spectroscopy (BIS) parameters of cucumber plants (ES.22.17 F1 genotype), focusing on extracellular fluid resistance (R1), intracellular fluid resistance (R2), vacuole fluid resistance (R4), and cell membrane capacitances (Cm, Ct). The results showed that low N supply significantly increased R1 and reduced Cm in the leaves, indicative of decreased nitrate (NO3) concentration and impaired membrane fluidity. Higher N supply lowered resistance and increased cell membrane capacitance, reflecting improved ion transport and storage efficiency. A strong positive correlation was observed between total N and NO3 content (r = 0.9), while NO3 content negatively correlated with extracellular fluid resistance (R1, r = −0.8) and vacuole fluid resistance (R4, r = −0.9). The optimal N supply for cucumber plants was associated with R1 values of 47,121.07–52,953.93 Ω, R4 values of 0.348–0.529 Ω, and Cm values of 3.149 × 10⁻10–3.781 × 10⁻10 F. These BIS parameters showed high sensitivity to plant N status, highlighting BIS as a promising, minimally invasive technique for real-time nutrient monitoring. By integrating BIS data and horticultural best practices, growers can refine N fertilization strategies for better resource efficiency and potentially higher yields and fruit quality. Full article
(This article belongs to the Special Issue Bioimpedance Measurements and Microelectrodes)
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12 pages, 655 KiB  
Article
High-Sensitivity Electrical Admittance Sensor with Regression Analysis for Measuring Mixed Electrolyte Concentrations
by Chun-Chi Chen, Chih-Hung Hung, Han-Xiang Zhu and Ji-Zun Chen
Sensors 2024, 24(22), 7379; https://doi.org/10.3390/s24227379 - 19 Nov 2024
Viewed by 700
Abstract
Electrolyte balance is essential for the proper functioning of the body, and imbalances can lead to various health issues, some of which may be life-threatening. Therefore, measuring electrolyte concentrations is becoming increasingly important, particularly for athletes engaged in high-intensity and prolonged physical activity. [...] Read more.
Electrolyte balance is essential for the proper functioning of the body, and imbalances can lead to various health issues, some of which may be life-threatening. Therefore, measuring electrolyte concentrations is becoming increasingly important, particularly for athletes engaged in high-intensity and prolonged physical activity. In this project, we developed a highly sensitive sensing device capable of accurately and rapidly measuring electrolyte concentrations in mixed solutions, providing precise analysis of trace electrolyte levels. The sensor device requires no complex operational procedures and can quickly complete measurements, making it well-suited for point-of-care applications. Integration of regression models further enhances the device’s ability to estimate concentrations in mixed electrolyte solutions. The test results demonstrate that the device can detect subtle concentration variations, with a precision as low as 0.5 mM. This proposed sensing device offers a cost-effective and efficient solution for real-time monitoring of electrolyte levels in healthcare. Full article
(This article belongs to the Special Issue Bioimpedance Measurements and Microelectrodes)
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33 pages, 1969 KiB  
Article
Bioelectrical Impedance Vector Analysis (BIVA) for Assessment of Hydration Status: A Comparison between Endurance and Strength University Athletes
by Maria Abdelnour, Rédina Berkachy, Lara Nasreddine and Elie-Jacques Fares
Sensors 2024, 24(18), 6024; https://doi.org/10.3390/s24186024 - 18 Sep 2024
Cited by 2 | Viewed by 2285
Abstract
Introduction: Athletic performance is greatly impacted by hydration status. The combination of several techniques is recommended to accurately measure water losses and gains. Aim: The aim of this study is to assess the validity of bioelectrical impedance vector analysis (BIVA) as a tool [...] Read more.
Introduction: Athletic performance is greatly impacted by hydration status. The combination of several techniques is recommended to accurately measure water losses and gains. Aim: The aim of this study is to assess the validity of bioelectrical impedance vector analysis (BIVA) as a tool for measuring hydration status in endurance and strength athletes. Methods: A total of 148 athletes were evaluated on one experimental day, pre- and post-training. Urine samples were collected and analyzed for color and specific gravity. Body weight changes were measured, sweat rate was calculated, and BIVA was performed. Reference ellipses were plotted using data of 200 healthy non-athletic individuals. Results: A moderate significant agreement was noted between raw bioelectrical values and urine specific gravity (USG) (p > 0.05). The sensitivity of classic BIVA in detecting minor changes in hydration status is confirmed both graphically and statistically. R/h and Z statistically significantly decreased post-training. Male athletes exhibited a specific BIA vector distribution compared to the reference population and were slightly more hydrated than female athletes. Conclusions: BIVA validation may be an essential step to allow its use among university students to assess dehydration in a non-invasive, practical, and inexpensive way. Full article
(This article belongs to the Special Issue Bioimpedance Measurements and Microelectrodes)
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