研究目的
Selective detection of sub-ppm ammonia gas for noninvasive diagnosis of liver malfunction using an InN-based gas sensor with an external silicone oil filter.
研究成果
The InN-based gas sensor with an external silicone oil filter effectively enhances the selectivity for ammonia detection in exhaled breath, showing potential for noninvasive diagnosis of liver malfunction. The system achieves a lower detection limit of 0.2 ppm ammonia with a detection time of 1 min at 200°C.
研究不足
The study focuses on the selective detection of ammonia in the presence of acetone, with limited exploration of other potential interferents in exhaled breath. The detection system's performance at varying humidity levels and temperatures beyond the tested range is not addressed.
1:Experimental Design and Method Selection:
The study employs an ultrathin InN epilayer with a Pt coating for ammonia detection, utilizing a portable gas sensor system with an external silicone oil filter to enhance selectivity.
2:Sample Selection and Data Sources:
Standard ammonia and acetone gas samples are prepared in nitrogen background for testing.
3:List of Experimental Equipment and Materials:
Includes a Pt-coated InN gas sensor, silicone oil filter, SIFT-MS system, T201 NH3 Analyzer, and a portable gas chamber system.
4:Experimental Procedures and Operational Workflow:
Involves measuring the absorption of ammonia and acetone gases through silicone oil, followed by chip testing on the InN sensor.
5:Data Analysis Methods:
The sensitivity of the gas sensor is defined in terms of current variation ratio, and absorption rates are calculated using analytical instruments.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容