State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2018 Nov 5;204:141-149. doi: 10.1016/j.saa.2018.06.031. Epub 2018 Jun 15.
In this study, a smart and green analytical method based on the second-order calibration algorithm coupled with excitation-emission matrix (EEM) fluorescence was developed for the determination of rhodamine dyes illegally added into chilli samples. The proposed method not only has the advantage of high sensitivity over the traditional fluorescence method but also fully displays the "second-order advantage". Pure signals of analytes were successfully extracted from severely interferential EEMs profiles via using alternating trilinear decomposition (ATLD) algorithm even in the presence of common fluorescence problems such as scattering, peak overlaps and unknown interferences. It is worth noting that the unknown interferents can denote different kinds of backgrounds, not only refer to a constant background. In addition, the method using interpolation method could avoid the information loss of analytes of interest. The use of "mathematical separation" instead of complicated "chemical or physical separation" strategy can be more effective and environmentally friendly. A series of statistical parameters including figures of merit and RSDs of intra- (≤1.9%) and inter-day (≤6.6%) were calculated to validate the accuracy of the proposed method. Furthermore, the authoritative method of HPLC-FLD was adopted to verify the qualitative and quantitative results of the proposed method. Compared with the two methods, it also showed that the ATLD-EEMs method has the advantages of accuracy, rapidness, simplicity and green, which is expected to be developed as an attractive alternative method for simultaneous and interference-free determination of rhodamine dyes illegally added into complex matrices.
在这项研究中，开发了一种基于二阶校准算法结合激发-发射矩阵（EEM）荧光的智能绿色分析方法，用于测定辣椒样品中非法添加的罗丹明染料。与传统荧光法相比，该方法不仅具有灵敏度高的优点，而且充分显示了“二阶优势”。通过交替三线性分解（ATLD）算法，即使在存在散射、峰重叠和未知干扰等常见荧光问题的情况下，也可以从严重干扰的 EEM 谱中成功提取纯分析物信号。值得注意的是，未知干扰物可以表示不同种类的背景，不仅指恒定背景。此外，使用插值法的方法可以避免感兴趣分析物的信息丢失。使用“数学分离”代替复杂的“化学或物理分离”策略可以更有效、更环保。采用一系列统计参数，包括内（≤1.9%）和日间（≤6.6%）的精度和 RSD 值，验证了所提出方法的准确性。此外，采用 HPLC-FLD 的权威方法验证了所提出方法的定性和定量结果。与两种方法相比，它还表明 ATLD-EEMs 方法具有准确性、快速性、简单性和绿色性的优点，有望开发为一种有吸引力的替代方法，用于同时和无干扰地测定复杂基质中非法添加的罗丹明染料。
