From Drifting Polyaniline Sensor to Accurate Sensor Array for Breath Analysis
| العنوان: | From Drifting Polyaniline Sensor to Accurate Sensor Array for Breath Analysis |
|---|---|
| المؤلفون: | P. Le Maout, Cyril Lahuec, L. Dupont, Alexander Pud, Nathalie Redon, J.L. Wojkiewicz, Fabrice Seguin, Sergei Mikhaylov |
| المساهمون: | Département Electronique (IMT Atlantique - ELEC), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Centre for Energy and Environment (CERI EE), Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Département Optique (IMT Atlantique - OPT), Institute of Bioorganic Chemistry and Petrochemistry, National Academy of Sciences of Ukraine (NASU) |
| المصدر: | 2018 IEEE Sensors IEEE Sensors 2018 IEEE Sensors 2018, Oct 2018, New Delhi, India. ⟨10.1109/ICSENS.2018.8589801⟩ |
| بيانات النشر: | IEEE, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Accuracy and precision, Materials science, Electronic nose, 010401 analytical chemistry, Feature selection, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, 0104 chemical sciences, 3. Good health, [SPI]Engineering Sciences [physics], chemistry.chemical_compound, [CHIM.POLY]Chemical Sciences/Polymers, chemistry, Breath gas analysis, Sensor array, Feature (computer vision), Polyaniline, [CHIM]Chemical Sciences, Sensitivity (control systems), [SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics, 0210 nano-technology, Biological system |
| الوصف: | International audience; Kidney failure is a critical chronic disease, defined as the irreversible loss of kidney functions. It has been shown that this pathology is associated with an increase of ammonia concentration in breath. Measuring it with a handheld system is a simple way for a noninvasive and early diagnostic. The idea of this paper is to measure the concentration of ammonia in a concentration range of human breath (500 ppb-2100 ppb) with humidity using a network of 11 different nanocomposite sensors. To overcome sensor weaknesses (sensor drift and sensitivity to humidity), the electronic nose principles are applied. Polyaniline-based nanocomposites with titanium dioxide, chitosan and carbon nanotubes are used to provide different sensitivities and response times and thus associate a single pattern to a concentration range. Several classifiers are then investigated and recursive feature elimination algorithm are used to select the most relevant features and sensors while improving the measurement accuracy. Diagnosis accuracy reaches 91% with the combination of feature selection and Support Vector Machine algorithm. |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7725d21785a4cac76769b5e329f6239e https://doi.org/10.1109/icsens.2018.8589801 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....7725d21785a4cac76769b5e329f6239e |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |