Biosensors, Free Full-Text
Por um escritor misterioso
Last updated 08 setembro 2024
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Liver fibrosis is a key pathological precondition for hepatocellular carcinoma in which the severity is confidently correlated with liver cancer. Liver fibrosis, characterized by gradual cell loss and excessive extracellular matrix deposition, can be reverted if detected at the early stage. The gold standard for staging and diagnosis of liver fibrosis is undoubtedly biopsy. However, this technique needs careful sample preparation and expert analysis. In the present work, an ex vivo, minimally destructive, label-free characterization of liver biopsies is presented. Through a custom-made experimental setup, liver biopsies of bile-duct-ligated and sham-operated mice were measured at 8, 15, and 21 days after the procedure. Changes in impedance were observed with the progression of fibrosis, and through data fitting, tissue biopsies were approximated to an equivalent RC circuit model. The model was validated by means of 3D hepatic cell culture measurement, in which the capacitive part of impedance was proportionally associated with cell number and the resistive one was proportionally associated with the extracellular matrix. While the sham-operated samples presented a decrease in resistance with time, the bile-duct-ligated ones exhibited an increase in this parameter with the evolution of fibrosis. Moreover, since the largest difference in resistance between healthy and fibrotic tissue, of around 2 kΩ, was found at 8 days, this method presents great potential for the study of fibrotic tissue at early stages. Our data point out the great potential of exploiting the proposed needle setup in clinical applications.
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Biosensing with Fluorescent Carbon Nanotubes - Ackermann - 2022 - Angewandte Chemie International Edition - Wiley Online Library
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Comparative table of different optical label-free biosensors for the
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Programming cell-free biosensors with DNA strand displacement circuits
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Biosensors, Free Full-Text
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Enzyme-based and enzyme-free metal-based glucose biosensors: Classification and recent advances - ScienceDirect
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PDF] Label-free optical biosensors for food and biological sensor applications
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Robust and tunable performance of a cell-free biosensor encapsulated in lipid vesicles
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Recent advances in graphene-based biosensor technology with applications in life sciences, Journal of Nanobiotechnology
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Label-free optical biosensors in the pandemic era
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High-throughput living cell-based optical biosensor for detection of bacterial lipopolysaccharide (LPS) using a red fluorescent protein reporter system
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Single-color, ratiometric biosensors for detecting signaling activities in live cells
Advancing Biosensors with Machine Learning
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