Non-destructive methods, such as the ac-impedance technique, have recently been applied to early caries detection and to identify micro-leakage between tooth structure and filling materials. However, in vitro impedance measurements are affected by a number of external factors. The purpose of present study was to investigate the effect of the age of teeth on impedance measurements of human dentine by employing electrical impedance spectroscopy (EIS). Fully hydrated dentine samples were prepared from extracted third molars of 20 and 50 year old patients. Ac-impedance measurements were carried out over a wide frequency range. Impedance measurements showed that there were differences in impedance between young and older dentine. In their circuit models, both resistance and capacitance were found to be significantly different (p < 0.05) for the two age groups. One of the age-related changes in dentine is the formation of peritubular dentine on the inner walls of dentinal tubules and we propose that this is responsible for the differences in impedance. Sample or patient age therefore must be considered when making impedance measurements on any tooth.
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Acta Biomater
January 2025
Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA. Electronic address:
In injured and diseased tissues, changes in molecular and cellular compositions, as well as tissue architecture, lead to alterations in both physiological and physical characteristics. Notably, the electrical properties of tissues, which can be characterized as bioelectrical impedance (bioimpedance), are closely linked to the health and pathological conditions of the tissues. This highlights the significant role of quantitatively characterizing these electrical properties in improving the accuracy and speed of diagnosis and prognosis.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Pulmonary Diseases, Uludag University Faculty of Medicine, Bursa, Turkey.
Background: End-stage renal disease (ESRD) patients frequently experience protein-energy wasting (PEW), which increases their morbidity and mortality rates.
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Materials And Methods: 67 consecutive ESRD patients on maintenance hemodialysis were included in the study.
ACS Sens
January 2025
Department of Engineering Physics, McMaster University, 1280 Main Street West, L8S 4L8 Hamilton, Ontario, Canada.
Current approaches for classifying biosensor data in diagnostics rely on fixed decision thresholds based on receiver operating characteristic (ROC) curves, which can be limited in accuracy for complex and variable signals. To address these limitations, we developed a framework that facilitates the application of machine learning (ML) to diagnostic data for the binary classification of clinical samples, when using real-time electrochemical measurements. The framework was applied to a real-time multimeric aptamer assay (RT-MAp) that captures single-frequency (12.
View Article and Find Full Text PDFAdv Clin Exp Med
January 2025
Clinic of Children's Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Lithuania.
Background: The number of infants born via cesarean section (CS) is increasing globally due to medical and cultural reasons.
Objectives: This study aimed to determine the effect of the mode of delivery on early lung aeration in newborns using electrical impedance tomography (EIT).
Material And Methods: The case-control study was conducted from December 2020 to April 2021.
Front Robot AI
January 2025
School of Metallurgy and Materials, University of Birmingham, Birmingham, United Kingdom.
Introduction: The transition to electric vehicles (EVs) has highlighted the need for efficient diagnostic methods to assess the state of health (SoH) of lithium-ion batteries (LIBs) at the end of their life cycle. Electrochemical Impedance Spectroscopy (EIS) offers a non-invasive technique for determining battery degradation. However, automating this process in industrial settings remains a challenge.
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