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Discrimination and identification of different amines by pattern recognition of kinetic spectral data

机译:通过动力学光谱数据的模式识别来区分和识别不同的胺

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This study represents detection and differentiation of primary, secondary, tertiary, aliphatic and aromatic as well as linear and branched amines using kinetic absorption spectra and multivariate analysis. The approach utilizes the electron donor-acceptor (EDA) complex formation between amines (as electron donors) and iodine (as electron acceptor) in chloroform solution. The criteria for discrimination were shape and intensity of the time dependent spectra of the amine–iodine systems as well as the kinetics of the process. It was found that the time-dependent absorption spectra of the complex formed between different amines and iodine are sufficiently diverse to provide a signature for each of the amines used. Pattern recognition methods including principal component analysis (PCA), linear discriminate analysis (LDA) and quadratic discriminate analysis (QDA) were used to analyze the response patterns. Multidimensional spectral identification of a collection of 27 amines was successfully performed. The method was successful even for the identification of amines having close structural similarity...
机译:这项研究代表了使用动力学吸收光谱和多元分析法对伯,仲,叔,脂族和芳族以及直链和支链胺的检测和区分。该方法利用了氯仿溶液中胺(作为电子给体)和碘(作为电子受体)之间的电子给体-受体(EDA)配合物形成。判别的标准是胺碘体系随时间变化的光谱的形状和强度以及过程的动力学。已经发现,在不同的胺和碘之间形成的络合物的随时间变化的吸收光谱足够多样化,以为所用的每种胺提供特征。模式识别方法包括主成分分析(PCA),线性判别分析(LDA)和二次判别分析(QDA)用于分析响应模式。成功进行了27种胺的多维光谱鉴定。该方法即使在鉴定具有相似结构相似性的胺时也是成功的。

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