Highly accurate particulate matter detection assisted by an air heater based on a silver nanowire film
Autor: | Shuxin Li, Changhui Ye, Xikun Chu, Jingqi Tao, Shulin Ji |
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Rok vydání: | 2019 |
Předmět: |
Pollution
Materials science media_common.quotation_subject Nanowire Bioengineering 02 engineering and technology 010402 general chemistry 01 natural sciences General Materials Science Relative humidity Electrical and Electronic Engineering media_common business.industry Mechanical Engineering Detector Psychrometrics Response time General Chemistry Particulates 021001 nanoscience & nanotechnology 0104 chemical sciences Mechanics of Materials Optoelectronics 0210 nano-technology Internal heating business |
Zdroj: | Nanotechnology. 30:485204 |
ISSN: | 1361-6528 0957-4484 |
DOI: | 10.1088/1361-6528/ab3cdb |
Popis: | Recently, many studies have been carried out to solve the particulate matter pollution problem. However, the detection accuracy for particulate matter in the atmosphere remains unsatisfactory due to the influence of the air relative humidity. Herein, we report a Ag nanowire film air heater to enhance the detection accuracy through internal heating. From air temperature and air relative humidity relationship analysis, it has been found that the Ag nanowire film air heater can form the most suitable air relative humidity in the detection system, thereby enhancing the detection accuracy. Consequently, the Ag nanowire film air heater-assisted light scattering particulate matter detector has achieved tremendous enhancement in its detection accuracy, which is comparable with the data obtained by the beta gauge method. Film resistance plays a key role in internal air temperature distribution and the resultant air relative humidity at given voltages. To achieve the most suitable air relative humidity for continuous online monitoring, response time and power consumption should be balanced. Therefore, guidance for designing Ag nanowire films with proper resistance used in an optional-sized detector has been given for quick response, high accuracy and low power consumption. This work is of significance for providing insight for future studies in particulate matter detection and pollution remediation. |
Databáze: | OpenAIRE |
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