Spectroscopy Associated(光谱相关)研究综述
Spectroscopy Associated 光谱相关 - Based on the in situ investigation of a contaminated shallow groundwater in an oilfield, Fourier transform infrared (FTIR) spectroscopy associated with chemometric treatments, principal component analysis (PCA), and simple-to-use interactive self-modeling mixture analysis (SIMPLISMA), were used to decipher the biodegradation process by analyzing the conversion of functional groups. [1] The near-infrared (NIR) spectroscopy associated to principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and support vector machines (SVM) for discrimination and classification of rice varieties ( Indica and Japonica ) were explored after different spectra processing steps such as multiplicative scatter correction (MSC), first derivative and second derivative. [2]基于对油田中受污染的浅层地下水的原位调查、与化学计量处理相关的傅里叶变换红外 (FTIR) 光谱、主成分分析 (PCA) 和简单易用的交互式自建模混合物分析 (SIMPLISMA)，用于通过分析官能团的转化来破译生物降解过程。 [1] 探索了与主成分分析 (PCA)、偏最小二乘判别分析 (PLS-DA) 和支持向量机 (SVM) 相关的近红外 (NIR) 光谱，用于区分和分类水稻品种（籼稻和粳稻）经过不同的光谱处理步骤，例如乘法散射校正 (MSC)、一阶导数和二阶导数。 [2]
Ftir Spectroscopy Associated 红外光谱相关
Conclusion: The result suggested that FTIR spectroscopy associated with multivariate analysis has the great potential for a rapid and non-destructive detection of adulteration in edible oils laborious conventional analytical techniques. [1] In conclusion, FTIR spectroscopy associated with WD measurements has proven to be a promising alternative to traditional methods for screening of individual- or species-specific resistance to embolism in angiosperms. [2]结论：结果表明，与多变量分析相关的 FTIR 光谱具有巨大的潜力，可用于快速、无损地检测食用油中的掺假，这需要费力的常规分析技术。 [1] 总之，与 WD 测量相关的 FTIR 光谱已被证明是筛选被子植物中个体或物种特异性抗栓塞抗性的传统方法的有希望的替代方法。 [2]
Infrared Spectroscopy Associated 红外光谱相关
ABSTRACT The objective of this work was to use infrared spectroscopy associated with multivariate statistical analysis to differentiate the quantities of chemical components present in green teas from conventional agriculture and organic agriculture, observing the different chemical concentrations of each sample, coming from the same producer. [1] Two methodologies were developed to quantify and classify the content of cotton biodiesel in blends with diesel using medium infrared spectroscopy associated with partial least squares (PLS) and partial least squares discriminant analysis (PLS-DA). [2]摘要 这项工作的目的是使用与多元统计分析相关的红外光谱来区分绿茶中存在的化学成分的数量与传统农业和有机农业，观察来自同一生产商的每个样品的不同化学浓度。 [1] 使用与偏最小二乘法 (PLS) 和偏最小二乘法判别分析 (PLS-DA) 相关的中红外光谱，开发了两种方法来量化和分类柴油混合物中棉花生物柴油的含量。 [2]