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| Ultima descărcare din IBN: 2023-11-01 16:55 |
 SM ISO690:2012ABABII, Nicolai, POSTICA, Vasile, CREŢU, Vasilii, LAZARI, Eugeniu, SHONTYA, Viktor, LUPAN, Oleg. Acetone sensor structure for biomedical applications. In: Health Technology Management: 3rd International Conference, Ed. 3, 6-7 octombrie 2016, Chișinău. Chișinău, Republica Moldova: Technical University of Moldova, 2016, Editia 3, p. 78. |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Health Technology Management Editia 3, 2016 |
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Conferința "Health Technology Management" 3, Chișinău, Moldova, 6-7 octombrie 2016 | ||||||
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| Pag. 78-78 | ||||||
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In presents, it is well known that diagnose of human diseases tends to use non-invasive diagnostic methods. They not cause discomfort to patients and the samples are collected rapidly without necessity of special conditions [1]. Thus, different effective methods of real time monitoring and detection of different biomarkers, such as acetone vapour, NOx, NH3, and H2 are highly desirable [2]. Also these method need to be simple in use for all consumers. One of the leading causes of death nowadays according to the World Health Organization is diabetes mellitus, which is also fast-growing problem. Acetone in human breath is known to be the biomarker for clinical diagnosis of diabetes mellitus. It is known that concentration of acetone vapour in exhaled breath of persons diagnosed with diabetes mellitus varies from 1.7 ppm to 3.7 ppm [3,4]. Detection of such low concentrations requires a high selectivity and sensitivity sensor. In this context, the semiconducting oxides nanostructures of CuO demonstrated promising results [5,6]. Figure 1. (a) The gas response versus operating temperature to acetone, ethanol, ammonia vapour with concentrations of 10 ppm. (b) Dynamic acetone vapour response at 200 °C operating temperature to different concentrations of acetone of the sensor samples treated by rapid thermal annealing at 400 °C in vacuum for 30 s and functionalized with gold nanoparticles on top; (c) Response/recovery times of sensor structure to acetone vapour versus operating temperature. Figure 1(a) present gas sensing investigations of the sensor based on CuO structures functionalized with Au nanoparticles to different volatile organic compounds (VOCs) vapour such as acetone, ethanol (EtOH) and NH3 with 10 ppm concentration at different operating temperatures, in order to study the selectivity. It can be observed that at operating temperatures (OPT) higher than 200 °C the sensors have good selectivity to acetone vapour. At OPT of 200 oC the acetone response is 25%. Fig. 1(b) shows the dynamic gas response to different concentrations of acetone vapour (10, 40, 75, 100, 200, 500 ppm). Fig. 1(c) shows response/recovery times versus OPT. At OPT of 200 oC values are relatively small τr~9.2 s and τd~9.6 s, respectively. It was observed experimentally, that the sensors demonstrates good reproducibility and an increase in acetone vapour concentration lead to a higher gas response, which is typical for gas sensors based on semiconducting oxides. |
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Cerif XML Export
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Thus, different effective methods of real time monitoring and detection of different biomarkers, such as acetone vapour, NOx, NH3, and H2 are highly desirable [2]. Also these method need to be simple in use for all consumers. One of the leading causes of death nowadays according to the World Health Organization is diabetes mellitus, which is also fast-growing problem. Acetone in human breath is known to be the biomarker for clinical diagnosis of diabetes mellitus. It is known that concentration of acetone vapour in exhaled breath of persons diagnosed with diabetes mellitus varies from 1.7 ppm to 3.7 ppm [3,4]. Detection of such low concentrations requires a high selectivity and sensitivity sensor. In this context, the semiconducting oxides nanostructures of CuO demonstrated promising results [5,6]. Figure 1. (a) The gas response versus operating temperature to acetone, ethanol, ammonia vapour with concentrations of 10 ppm. (b) Dynamic acetone vapour response at 200 °C operating temperature to different concentrations of acetone of the sensor samples treated by rapid thermal annealing at 400 °C in vacuum for 30 s and functionalized with gold nanoparticles on top; (c) Response/recovery times of sensor structure to acetone vapour versus operating temperature. Figure 1(a) present gas sensing investigations of the sensor based on CuO structures functionalized with Au nanoparticles to different volatile organic compounds (VOCs) vapour such as acetone, ethanol (EtOH) and NH3 with 10 ppm concentration at different operating temperatures, in order to study the selectivity. It can be observed that at operating temperatures (OPT) higher than 200 °C the sensors have good selectivity to acetone vapour. At OPT of 200 oC the acetone response is 25%. Fig. 1(b) shows the dynamic gas response to different concentrations of acetone vapour (10, 40, 75, 100, 200, 500 ppm). Fig. 1(c) shows response/recovery times versus OPT. At OPT of 200 oC values are relatively small τr~9.2 s and τd~9.6 s, respectively. 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