论文标题
指纹区域的选择性苯，乙炔和二氧化碳传感器
A Selective Benzene, Acetylene, and Carbon Dioxide Sensor in the Fingerprint Region
论文作者
论文摘要
在环境条件下，设计和演示了基于中红外激光的传感器，用于痕量检测苯，乙炔和二氧化碳。该传感器基于分布式反馈量子级联循环和接近14.84 UM的多维衬里（DFB-QCL）。可调二极管激光吸收光谱（TDLA）和多维线性回归算法用于实现目标物种的无干扰测量。通过正弦波注入电流（1 kHz扫描速率）调节激光波长超过673.8-675.1 cm-1。对于苯，乙炔和二氧化碳分别达到了0.11、4.16和2.96 ppm的最小检测限。开发的传感器对重叠的吸光度光谱的干扰不敏感，并且通过测量实验室中制备的已知混合物样品来证明其性能。该传感器可用于检测石化设施中目标物种的微小泄漏，并监测住宅和工业区的空气质量。
A mid-infrared laser-based sensor is designed and demonstrated for trace detection of benzene, acetylene, and carbon dioxide at ambient conditions. The sensor is based on a distributed feedback quantum cascade lase and a multidimensional liner (DFB-QCL) emitting near 14.84 um. Tunable diode laser absorption spectroscopy (TDLAS) and a multidimensional linear regression algorithm are employed to enable interference-free measurements of the target species. The laser wavelength was tuned over 673.8-675.1 cm-1 by a sine-wave injection current (1 kHz scan rate). Minimum detection limits of 0.11, 4.16, and 2.96 ppm were achieved for benzene, acetylene, and carbon dioxide, respectively. The developed sensor is insensitive to interference from overlapping absorbance spectra, and its performance was demonstrated by measuring known mixture samples prepared in the lab. The sensor can be used to detect tiny leaks of the target species in petrochemical facilities and to monitor air quality in residential and industrial areas.
