State Key Laboratory of Supramolecular Structure and Materials, Jilin University, Changchun 130012, PR China.
Spectrochim Acta A Mol Biomol Spectrosc. 2013 Mar 15;105:52-6. doi: 10.1016/j.saa.2012.11.112. Epub 2012 Dec 20.
In this paper, a new proposal for the quantitative evaluation of divalent metal ions (M(2+)) is developed by the use of the competitive resonance Raman (RR)-based method. Upon excitation with light of the appropriate wavelength (532 nm), a strong electric field is generated that couples with the resonance of the complex (zincon-M(2+)), increasing the character signals of these complexes, resulting in sensitive detection. Herein, the RR probe, zincon-M(2+) complex that the RR intensity gets lower with the decreasing of the M(2+) concentration, which leads to the transformation of the Raman information. As a result, by using the proposed RR-based method, we could find the liner calibration curves of Cu(2+) and Ni(2+), which show the potential in quantitative evaluation of an unknown sample. In addition, the abundant fingerprint information shows that RR leads to the successful analysis of a blended solution, which contains two ions: Cu(2+) and Ni(2+).
本文提出了一种新的定量评价二价金属离子（M(2+)）的方法，即利用基于共振拉曼（RR）的竞争方法。当用适当波长的光（532nm）激发时，会产生一个强电场，与配合物（锌试剂-M(2+)）的共振耦合，增加这些配合物的特征信号，从而实现灵敏检测。在此，RR 探针锌试剂-M(2+)配合物的 RR 强度随 M(2+)浓度的降低而降低，导致拉曼信息发生转变。因此，通过使用所提出的基于 RR 的方法，我们可以得到 Cu(2+)和 Ni(2+)的线性校准曲线，这表明其在未知样品的定量评价方面具有潜力。此外，丰富的指纹信息表明 RR 成功分析了包含两种离子（Cu(2+)和 Ni(2+)）的混合溶液。
