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Using inclusion complexes for achieving second-order advantage: A novel technique for cinnamic acid derivatives analysis with second-order calibration methods

机译:使用包合物实现二阶优势:用二阶校准方法进行肉桂酸衍生物分析的新技术

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摘要

As a novel performance, to attempt cinnamic acid derivatives (CAs), including caffeic acid, ferulic acid, and p-coumaric acid quantification by fluorescence spectroscopy in complex chemical systems with unknown interferences in water, creating second-order data was demanded. In the present study, alpha,beta-cyclodextrin (alpha,beta-CD) inclusion complexes application for second-order data generation joined with bilinear least squares/residual bilinearization (BLLS/RBL) and parallel factor analysis (PARAFAC) as second-order calibration methods. In the first step, inclusion complexes formation between CA analytes with alpha,beta-CDs at the optimized condition was evaluated. The resolution of model compounds was possible in the base to the differences in the fluorescence spectral changes of the inclusion complexes signals of the investigated analytes as a function of CD concentrations opening a new approach for second-order data generation. In light of these facts, due to severe profiles overlapping between CAs, we propose creating third-order data for each sample using alpha and beta-CD media to produce inclusion complexes as a new additional selectivity mode while the obtained data in two media were augmented next. Three-way arrays were constructed by stacking augmented data in a third way and then analyzed by two powerful second-order calibration methods (BLLS/RBL and PARAFAC) to get spectral and concentration profiles of CAs as a function of alpha,beta-CD concentrations. The concentrations were between 0 to 6.0, 0 to 10.0, and 0 to 8.0 mg L-1 for caffeic acid, ferulic acid, and p-coumaric acid, respectively. The results of both methods are in good agreement, and reasonable recoveries are achieved.
机译:作为一种新颖性能,以尝试肉桂酸衍生物(CAS),包括咖啡酸,阿魏酸和P-香豆酸量通过荧光光谱法在水中的复杂化学体系中进行,需要产生二阶数据。在本研究中,α,β-环糊精(α,Beta-CD)包含复合物申请用于与双线性最小二乘/残余双向化(BLLS / RBL)的二阶数据生成,以及并行因子分析(Parafacac)为二阶校准方法。在第一步中,评估了在优化条件下与α的Ca分析物之间形成的包合物形成。模型化合物的分辨率在基础上可以在荧光光谱变化的差异中,所研究分析物的荧光光谱变化的差异作为开放二阶数据生成的新方法的CD浓度的函数。根据这些事实,由于CA之间重叠的严重简档,我们建议使用α和Beta-CD介质为每个样本创建三阶数据,以产生包含复合物作为新的额外选择性模式,而两个介质中获得的数据被增强下一个。通过以第三种方式堆叠增强数据来构建三通阵列,然后通过两个强大的二阶校准方法(BLLS / RBL和PARAFACAC)进行分析,得到CAS的光谱和浓度谱作为α,β-CD浓度的函数。浓度分别为咖啡酸,阿魏酸和p-香豆酸的0至6.0,0-10.0,0至8.0mg L-1。两种方法的结果都很吻合,达到合理的回收率。

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