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用于定量红外光谱的气相数据库。

Gas-phase databases for quantitative infrared spectroscopy.

作者信息

Sharpe Steven W, Johnson Timothy J, Sams Robert L, Chu Pamela M, Rhoderick George C, Johnson Patricia A

机构信息

Pacific Northwest National Laboratory, P. O. Box 999, Richland, Washington 99352, USA.

出版信息

Appl Spectrosc. 2004 Dec;58(12):1452-61. doi: 10.1366/0003702042641281.

Abstract

The National Institute of Standards and Technology (NIST) and the Pacific Northwest National Laboratory (PNNL) are each creating quantitative databases containing the vapor-phase infrared spectra of pure chemicals. The digital databases have been created with both laboratory and remote-sensing applications in mind. A spectral resolution of approximate, equals 0.1 cm(-1) was selected to avoid degrading sharp spectral features, while also realizing that atmospheric broadening typically limits line widths to 0.1 cm(-1). Calculated positional (wave- number, cm(-1)) uncertainty is </=0.005 cm(-1), while the 1sigma statistical uncertainty in absorbance values is <2% for most compounds. The latter was achieved by measuring multiple (typically >/=9) path length-concentration burdens and fitting a weighted Beer's law plot to each wavenumber channel. The two databases include different classes of compounds and were compared using 12 samples. Though these 12 samples span a range of polarities, absorption strengths, and vapor pressures, the data agree to within experimental uncertainties with only one exception.

摘要

美国国家标准与技术研究院(NIST)和太平洋西北国家实验室(PNNL)各自正在创建包含纯化学品气相红外光谱的定量数据库。创建这些数字数据库时考虑到了实验室和遥感应用。选择了约0.1 cm⁻¹的光谱分辨率,以避免锐谱特征退化,同时也认识到大气展宽通常将谱线宽度限制在0.1 cm⁻¹。计算出的位置(波数,cm⁻¹)不确定度≤0.005 cm⁻¹,而对于大多数化合物,吸光度值的1σ统计不确定度<2%。后者是通过测量多个(通常≥9个)光程-浓度负荷,并对每个波数通道拟合加权比尔定律图来实现的。这两个数据库包含不同类别的化合物,并使用12个样品进行了比较。尽管这12个样品涵盖了一系列极性、吸收强度和蒸气压,但数据在实验不确定度范围内一致,只有一个例外。

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