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https://doi.org/10.21203/rs.3....
Article . 2025 . Peer-reviewed
License: CC BY
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Microsystem Technologies
Article . 2025 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
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Carbon-mems derived glassy carbon sensor for acetone sensing

Authors: Anto Manuel; Bidhan Pramanick;

Carbon-mems derived glassy carbon sensor for acetone sensing

Abstract

Abstract Biosensors provide immense promise for detecting and assessing numerous anomalies in the human body. Pancreatic disorders are also the main cause of various abnormalities in the body caused by diabetes, and lung cancer (LC) is the leading cause of cancer-related mortality worldwide, making it a major cause of death and a major obstacle to raising life expectancy in all countries. Introducing non-invasive diagnosis revolutionized the early detection of disease or abnormalities in medicine by capturing biomarkers. Saliva, perspiration, urea, bodily fluids, and exhaled breath can be used for the bloodless diagnosis. The ideal system may have several volatile organic compounds (VOC) sensors, electronic signal conditioning circuits to extract signals from the sensors, a processing unit, and software for data analysis. This study reports the potential of glassy carbon electrode material prepared using carbon microelectromechanical systems (C-MEMS) with a TiO\((_2)\) sensing channel. The sensor was developed to detect acetone as a target molecule to diagnose abnormalities in the human body. This approach led to stable and reliable advances in the development of biosensors to detect VOC at room temperature, at a cost-effective cost.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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