Department of Hydrogeology, Institute for Geosciences, Friedrich-Schiller-University Jena, Burgweg 11, 07749 Jena, Germany.
Department of Hydrogeology, Institute for Geosciences, Friedrich-Schiller-University Jena, Burgweg 11, 07749 Jena, Germany.
Chemosphere. 2017 Apr;172:175-184. doi: 10.1016/j.chemosphere.2016.12.145. Epub 2016 Dec 30.
Fluorescence and UV/Vis spectra of aqueous solutions with numerous organic compounds are a superposition of single spectra of the chemical species present. Thus, an isolation of individual spectra with chemometrics is required for their quantification. We investigated UV/Vis spectra and fluorescence excitation-emission matrices of vanillic acid, salicylic acid, phenoxyacetic acid and phthalic acid with positive matrix factorization (PMF) and non-negativity constrained parallel factor analysis (PARAFAC) in combination with the law of mass action. In consideration of the pH-dependent speciation of organic acids, we first reconstructed the pH-specific spectra of each compound. Using these spectra as known components in a constrained algorithm, we could successfully quantify species of multiple compounds and reconstruct the solution pH. In addition, we estimated the uncertainty of reconstructed spectra and concentrations in order to assess the most probable number of components for PMF/PARAFAC. Therefore, we could derive a framework to reconstruct the number of relevant species and their individual concentration present in spectroscopic data of aqueous solutions containing multiple organic compounds.
水溶液中含有许多有机化合物,其荧光和紫外可见光谱是存在的化学物质的单个光谱的叠加。因此,需要使用化学计量学从这些光谱中分离出单个光谱,以对其进行定量。我们使用正矩阵因子分解(PMF)和非负约束平行因子分析(PARAFAC)结合质量作用定律,研究了香草酸、水杨酸、苯氧乙酸和邻苯二甲酸的紫外可见光谱和荧光激发-发射矩阵。考虑到有机酸的 pH 依赖性形态,我们首先重建了每种化合物的 pH 特异性光谱。在约束算法中,我们使用这些光谱作为已知成分,可以成功地定量多种化合物的形态并重建溶液 pH。此外,我们还估计了重建光谱和浓度的不确定性,以评估 PMF/PARAFAC 中最可能的成分数。因此,我们可以得出一个框架,用于重建含有多种有机化合物的水溶液光谱中存在的相关物种的数量及其各自的浓度。