Application of bioelectrical impedance detection techniques: Cells and tissues.

Biosens Bioelectron

College of Mathematical Medicine, Zhejiang Normal University, Jinhua, China; Affiliated Dongyang Hospital of Wenzhou Medical University, Jinhua, China. Electronic address:

Published: January 2025

Pathological conditions in organisms often arise from various cellular or tissue abnormalities, including dysregulation of cell numbers, infections, aberrant differentiation, and tissue pathologies such as lung tumors and skin tumors. Thus, developing methods for analyzing and identifying these biological abnormalities presents a significant challenge. While traditional bioanalytical methods such as flow cytometry and magnetic resonance imaging are well-established, they suffer from inefficiencies, high costs, complexity, and potential hazards. To address these challenges, bioelectrical impedance detection technology, which leverages the electrical properties of biological cells and tissues to extract relevant biomedical information, has garnered considerable attention in the field of biological detection due to its affordability, convenience, non-invasiveness, and label-free nature. This article first provides a brief introduction to the principles of bioelectrical impedance and related detection techniques, as well as the equivalent circuit models and numerical simulation models developed at the cellular and tissue levels. Next, this article delves into the applications of bioelectrical impedance technology at the cellular level, including recent advancements in cell counting, classification, concentration detection, differentiation, and infection, thereby enriching previous literature reviews from a multicellular perspective. In addition, this article highlights the applications of bioelectrical impedance technology in relevant tissues including muscle, skin, lungs, and so on. Finally, the article explores the future opportunities and challenges of bioelectrical impedance detection and analysis technology, focusing on interdisciplinary research areas and data-driven intelligent analysis, offering researchers broader research directions and perspectives.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.bios.2025.117159DOI Listing

Publication Analysis

Top Keywords

bioelectrical impedance
24
impedance detection
16
detection techniques
8
cells tissues
8
cellular tissue
8
challenges bioelectrical
8
applications bioelectrical
8
impedance technology
8
impedance
6
detection
6

Similar Publications

Background: The growth in obesity and rates of abdominal obesity in developing countries is due to the dietary transition, meaning a shift from traditional, fiber-rich diets to Westernized diets high in processed foods, sugars, and unhealthy fats. Environmental changes, such as improving the quality of dietary fat consumed, may be useful in preventing or mitigating the obesity or unhealthy obesity phenotype in individuals with a genetic predisposition, although this has not yet been confirmed. Therefore, in this study, we investigated how dietary fat quality indices with metabolically healthy obesity (MHO) or metabolically unhealthy obesity (MUO) based on the Karelis criterion interact with genetic susceptibility in Iranian female adults.

View Article and Find Full Text PDF

The single crystals of lead-free NaBiTiO were grown using the Czochralski method. The energy gaps determined from X-ray photoelectron spectroscopy (XPS) and optical measurements were approximately 2.92 eV.

View Article and Find Full Text PDF

Application of bioelectrical impedance detection techniques: Cells and tissues.

Biosens Bioelectron

January 2025

College of Mathematical Medicine, Zhejiang Normal University, Jinhua, China; Affiliated Dongyang Hospital of Wenzhou Medical University, Jinhua, China. Electronic address:

Pathological conditions in organisms often arise from various cellular or tissue abnormalities, including dysregulation of cell numbers, infections, aberrant differentiation, and tissue pathologies such as lung tumors and skin tumors. Thus, developing methods for analyzing and identifying these biological abnormalities presents a significant challenge. While traditional bioanalytical methods such as flow cytometry and magnetic resonance imaging are well-established, they suffer from inefficiencies, high costs, complexity, and potential hazards.

View Article and Find Full Text PDF

Comparison of body composition change, measured with bioelectrical impedance analysis, between singleton and twin pregnancy: A prospective cohort study.

Eur J Obstet Gynecol Reprod Biol

January 2025

Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea.

Objectives: To determine the difference of body composition change measured by bioelectrical impedance analysis (BIA) between singleton and twin pregnancy.

Study Design: A prospective study was performed in pregnant women admitted to maternal-fetal intensive care unit in Seoul National University Bundang Hospital from June to August 2023. Twenty one patients were enrolled (9 singleton and 12 twin pregnancies) and underwent BIA at the admission.

View Article and Find Full Text PDF

Can a Cochlear Implant Be Used as an Electrical Impedance Tomography Device?

Int J Numer Method Biomed Eng

January 2025

Bioengineering, Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Gauteng, South Africa.

The imaging of the live cochlea is a challenging task. Regardless of the quality of images obtained from modern clinical imaging techniques, the internal structures of the cochlea mainly remain obscured. Electrical impedance tomography (EIT) is a safe, low-cost alternative medical imaging technique with applications in various clinical scenarios.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!