State Key Laboratory of Applied Organic Chemistry, Lanzhou University, Lanzhou, 730000, People's Republic of China.
J Fluoresc. 2012 Jul;22(4):1013-9. doi: 10.1007/s10895-012-1052-2. Epub 2012 Apr 3.
Digital image processing has been applied on various fields such as classification and qualitative analysis. In this work, a very simple quantitative approach was proposed for the first time. Based on the digital grayscale images of three-dimensional fluorescence spectra, several wavelet moment invariants were calculated, and used to establish the linear models for the quantitative analysis. This approach was applied to the quantitative analysis of Tryptophan, Tyrosine and Phenylalanine in mixture samples, and the correlation coefficients R(2) of the obtained linear models were more than 0.99, which were supported by the strict statistical parameters as well as leave-one-out and Jackknife cross-validations. Our study indicates that the selected wavelet moment invariants are immune from the noise and background signals, and the quantitative analysis can be performed accurately based on the overlapping peaks of compounds in mixture. This proposed approach provides a novel pathway for the analysis of three-dimensional spectra.
数字图像处理已应用于分类和定性分析等多个领域。在这项工作中，首次提出了一种非常简单的定量方法。基于三维荧光光谱的数字灰度图像，计算了几个小波矩不变量，并用于建立定量分析的线性模型。该方法应用于混合物样品中天冬氨酸、酪氨酸和苯丙氨酸的定量分析，所得线性模型的相关系数 R(2)均大于 0.99，严格的统计参数以及留一法和刀切交叉验证也支持这一结果。我们的研究表明，所选的小波矩不变量不受噪声和背景信号的影响，并且可以基于混合物中化合物的重叠峰进行准确的定量分析。该方法为三维光谱分析提供了新的途径。
