摘要
为了快速无损地鉴别物质的成分,提高光声光谱(PAS)检测多组分固体粉末物的能力,对光声光谱固体颗粒物检测系统和光声信号提取分析方法进行了研究。根据R-G理论,优化设计了基于传声器的非共振圆形光声池。组建了由大功率氙灯、斩波器、锁相放大器、光栅单色仪、数据采集系统和光声池等主要部件构成的系统。采用高灵敏度的声探测器和透过率高的光窗,使用低噪声高信噪比(SNR)放大电路,增强光声信号的强度。实验证实,检测系统性能稳定可靠。采用小波分析提高光声信号分析能力。将硝基化合物粉末和硫酸铜粉末混合物光声信号与两种物质各自的光声信号分析对比,方便准确快速地判断两种物质的存在,为物质鉴别提供依据。
Photoacoutic detection system of solid powder and signal analysis methods, which are used to distinguish material component quickly without damage and improve detection ability, are researched. Nonresonant cylinder photoacoutic cell is designed based on the theory of R-G. The system consists of high power xenon lamp, chopper, lock-in amplifier, grating monochromator, data acquisition system and photoacoustic cell. The methods of enhancing the amplitude of signal are used to improve resolution ability, such as choosing high sensitivity sound detector, increasing permeation rate, designing low noise and high signal-to-noise ratio circuit. The experimental system is stable and reliable. Wavelet is applied to improving analysis ability. It provides identification evidence conveniently and quickly by the photoacoustic signal analysis of nitrocompound, copper sulphate and mixture.
出处
《激光与光电子学进展》
CSCD
北大核心
2010年第5期19-22,共4页
Laser & Optoelectronics Progress
基金
三峡大学青年科学基金(KJ2008A022)资助课题
关键词
光声光谱
光声池
小波分析
氙灯
硝基化合物
photoacoustic spectrum
photoacoustic cell
wavelet analysis
xenon lamp
nitro compound
