This paper presents an experimentally derived design rule for optimization of microelectrodes used in electric cell-substrate impedance sensing (ECIS) up to 10MHz. The effect of change in electrode design (through electrode sensor area, lead trace widths, and passivation coating thickness) on electrode characteristics was experimentally evaluated using electrochemical impedance spectroscopy (EIS) measurements and analyzed using equivalent circuit models. A parasitic passivation coating impedance was successfully minimized by designing electrodes with either a thicker passivation layer or a smaller lead trace area. It was observed that the passivated lead trace area to passivation coating thickness ratio has a critical value of 5.5, under which the impedance contribution of the coating is minimized. The optimized design of ECIS-based microelectrode devices reported in this work will make it possible to probe the entire beta dispersion region of adherent biological cell layers by reducing measurement artifacts and improving the quality of data across the beta-dispersion region. The new design will enable the use of the commonly used ECIS technique to measure real-time cellular properties in high frequency ranges (beta dispersion) that was not possible thus far.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.bios.2008.10.026 | DOI Listing |
Ann Indian Acad Neurol
January 2025
Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.
Biol Trace Elem Res
January 2025
School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India.
Prostate cancer (PC) is a common malignancy among men globally. Although genetic, hormonal, and environmental factors contribute to its development, the role of heavy metals remains unclear. This study evaluated serum levels of arsenic, cadmium, lead, mercury, and nickel in PC patients compared to healthy controls.
View Article and Find Full Text PDFMed J Malaysia
January 2025
Nanobiomedicine lab, Centre for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamilnadu, India.
Introduction: Zinc oxide nanoparticles (ZnO NPs) exhibit a wide range of biomedical applications majorly used as antiinflammatory, anti-cancer, anti-diabetic, and anti-microbial activity and other biomedical applications because they show less toxicity and are very compatible. Zinc metal is an inorganic and essential element in the human body at the trace level. ZnO NPs are also GRAS substances (Generally Recognized As Safe).
View Article and Find Full Text PDFMolecules
December 2024
Institute of Ion Physics and Applied Physics, University of Innsbruck, Technikerstraße 25, 6020 Innsbruck, Austria.
Machine learning potential energy functions can drive the atomistic dynamics of molecules, clusters, and condensed phases. They are amongst the first examples that showed how quantum mechanics together with machine learning can predict chemical reactions as well as material properties and even lead to new materials. In this work, we study the behaviour of tungsten trioxide (WO) surfaces upon particle impact by employing potential energy surfaces represented by neural networks.
View Article and Find Full Text PDFAnimals (Basel)
December 2024
Department of Chemistry, Washington University in St. Louis, St. Louis, MO 63130, USA.
In dogs, brain aging may lead to cognitive decline and cognitive dysfunction syndrome (CDS) [...
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!