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- W2517894636 abstract "Analyzing the concentration of acetone in human breath constitutes a promising non-invasive means to diagnose the onset of diabetes, with acetone levels of at least 1.8ppm typically associated to individuals suffering from diabetes. In this paper, we report the performance of a hierarchical ZnO nanostructure gas sensor for acetone detection. The fabricated gas sensor can detect concentrations as low as 1ppm while operating at a comparatively lower temperature of 200°C. In addition, the proposed gas sensor can be fabricated on a silicon wafer using a MEMS process, making it thereby possible to fully integrate gas sensing and electronic circuitry on a single silicon chip." @default.
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- W2517894636 date "2016-05-01" @default.
- W2517894636 modified "2023-10-01" @default.
- W2517894636 title "A hierarchical ZnO nanostructure gas sensor for human breath-level acetone detection" @default.
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- W2517894636 doi "https://doi.org/10.1109/iscas.2016.7538935" @default.
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