McGill IR Group, Department of Food Science and Agricultural Chemistry, Macdonald Campus of McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada H9X 3V9.
Appl Spectrosc. 2013 Apr;67(4):448-56. doi: 10.1366/12-06798.
Spectral reconstitution (SR) is a dilution technique developed to facilitate the rapid, automated, and quantitative analysis of viscous oil samples by Fourier transform infrared spectroscopy (FT-IR). This technique involves determining the dilution factor through measurement of an absorption band of a suitable spectral marker added to the diluent, and then spectrally removing the diluent from the sample and multiplying the resulting spectrum to compensate for the effect of dilution on the band intensities. The facsimile spectrum of the neat oil thus obtained can then be qualitatively or quantitatively analyzed for the parameter(s) of interest. The quantitative performance of the SR technique was examined with two transition-metal carbonyl complexes as spectral markers, chromium hexacarbonyl and methylcyclopentadienyl manganese tricarbonyl. The estimation of the volume fraction (VF) of the diluent in a model system, consisting of canola oil diluted to various extents with odorless mineral spirits, served as the basis for assessment of these markers. The relationship between the VF estimates and the true volume fraction (VF(t)) was found to be strongly dependent on the dilution ratio and also depended, to a lesser extent, on the spectral resolution. These dependences are attributable to the effect of changes in matrix polarity on the bandwidth of the ν(CO) marker bands. Excellent VF(t) estimates were obtained by making a polarity correction devised with a variance-spectrum-delineated correction equation. In the absence of such a correction, SR was shown to introduce only a minor and constant bias, provided that polarity differences among all the diluted samples analyzed were minimal. This bias can be built into the calibration of a quantitative FT-IR analytical method by subjecting appropriate calibration standards to the same SR procedure as the samples to be analyzed. The primary purpose of the SR technique is to simplify preparation of diluted samples such that only approximate proportions need to be adhered to, rather than using exact weights or volumes, the marker accounting for minor variations. Additional applications discussed include the use of the SR technique in extraction-based, quantitative, automated FT-IR methods for the determination of moisture, acid number, and base number in lubricating oils, as well as of moisture content in edible oils.
光谱重构(SR)是一种稀释技术,旨在通过傅里叶变换红外光谱(FT-IR)促进粘性油样的快速、自动和定量分析。该技术涉及通过测量添加到稀释剂中的合适光谱标记物的吸收带来确定稀释因子,然后从样品中光谱去除稀释剂,并将得到的光谱相乘以补偿稀释对带强度的影响。由此获得的纯净油的传真光谱可以用于定性或定量分析感兴趣的参数。使用两种过渡金属羰基配合物作为光谱标记物,即六羰基铬和甲基环戊二烯基三羰基锰,研究了 SR 技术的定量性能。在由菜籽油以不同程度与无味矿物油稀释而成的模型体系中,稀释剂的体积分数(VF)的估计值被用作评估这些标记物的基础。发现 VF 估计值与真实体积分数(VF(t))之间的关系强烈依赖于稀释比,并且在较小程度上也依赖于光谱分辨率。这些依赖性归因于基质极性变化对 ν(CO)标记带带宽的影响。通过使用方差谱定义的校正方程设计的极性校正,可以获得出色的 VF(t)估计值。在没有这种校正的情况下,只要分析的所有稀释样品之间的极性差异最小,SR 仅会引入较小且恒定的偏差。通过使适当的校准标准经受与要分析的样品相同的 SR 程序,可以将这种偏差构建到定量 FT-IR 分析方法的校准中。SR 技术的主要目的是简化稀释样品的制备,使得只需遵守近似比例,而不是使用精确的重量或体积,标记物可以考虑到较小的变化。讨论的其他应用包括在基于提取的、定量的、自动的 FT-IR 方法中使用 SR 技术来测定润滑油中的水分、酸值和碱值,以及食用油中的水分含量。