Application of computerized differentiation technique to remote-sensing Fourier transform infrared spectrometry for analysis of toxic vapors.
Application of computerized differentiation technique to remote-sensing Fourier transform infrared spectrometry for analysis of toxic vapors.
复制标题
计算机微分技术在遥感傅里叶变换红外光谱分析有毒蒸气中的应用。
DOI：
10.1021/ac00065a016
复制
发表时间：
1993
影响因子：
7.4
通讯作者：
Levine,SP
中科院分区：
文献类型：
--
作者：
Xiao,H;Levine,SP
针对遥感FTIR现场测量大气污染物时背景光谱采集困难的问题，提出了一种差分方法。通过为光谱的每个采样数据点引入AX间隔来生成背景光谱。由于干涉仪的不稳定性和红外光束结构的变化而引起的光谱强度的时间变化通过差分光谱的使用被大大减小。采用最小二乘拟合程序对微分光谱进行多组分分析。通过使用差分技术和传统的方法，它采用一个干净的背景光谱的三组光谱进行了评估。当使用干净的背景光谱时，这两种方法之间没有显着差异。然而，在现场空气监测系统评估（与基于实验室的仪器评估相反）的情况下，通常无法获得干净的背景光谱。虽然微分技术导致检测限的增加，但结果表明，该方法具有足够的灵敏度来检测和定量工作场所中有毒化合物的单个和混合物。
A differential method was developed for overcom-ing the difficulty in collection of background spectra when a remote-sensing FTIR is used during field measurements of air contaminants. A background spectrum was generated by introducing a AX interval for every sampled data point of the spectrum. Temporal variations in spectral intensity caused by instability of the interferom-eter and changing IR beam configurations were greatly reduced through the use of the differential spectrum. Multicomponent analysis was per-formed by means of using a least-squares fit program with the differential spectrum. Three sets of spectra were evaluated by use of both the differential technique and the traditional method, which employs a clean background spectrum. There was no significant difference found between these two methods when a clean background spectrum could be used. However, in the case of field air monitoring system evaluations (as opposed to laboratory-based instrument evalua-tions), clean background spectra are frequently not available. Although the differential technique results in an increase in the limit of detection, results demonstrated that this methodhas sufficient sensitivity to detect and quantify both in-dividual and mixtures of toxic compounds in the workplace.