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在复杂背景下对分子识别的扩散系数进行准确估计。

Accurate estimation of diffusion coefficient for molecular identification in a complex background.

机构信息

State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, Hubei, China.

Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.

出版信息

Anal Bioanal Chem. 2020 Jul;412(19):4519-4525. doi: 10.1007/s00216-020-02693-7. Epub 2020 May 14.

Abstract

To eliminate the effects of complex background signals and to enhance the accuracy of the diffusion coefficient measurement, derivative NMR spectroscopy with negligible loss of the spectral quality is introduced based on the customized Savitzky-Golay method and used to construct diffusion-ordered NMR spectroscopy (DOSY). The criterion of the method was established by simulations. The application of this method on mouse urine and serum showed that the accuracy and precision of diffusion coefficient measurements in a complex background were improved to enhance the identification of molecules. Graphical abstract Diffusion-ordered NMR spectroscopy is a powerful tool for analyzing complex mixtures. To improve the accuracy of diffusion coefficient measurement, the magnitude of complex derivative spectra is introduced as a post-processing method to eliminate the effects of background signals, broad signals, or distorted baseline. And thus, accurate estimate of the diffusion coefficient is ensured to enhance the molecule identification.

摘要

为了消除复杂背景信号的影响,提高扩散系数测量的准确性,本文基于定制的 Savitzky-Golay 方法引入了导数 NMR 光谱学,该方法几乎不会损失光谱质量,并用于构建扩散有序 NMR 光谱学(DOSY)。该方法的标准是通过模拟建立的。该方法在小鼠尿液和血清中的应用表明,在复杂背景下测量扩散系数的准确性和精密度得到了提高,从而增强了分子的识别能力。

图形摘要

扩散有序 NMR 光谱学是分析复杂混合物的有力工具。为了提高扩散系数测量的准确性,引入复数导数光谱的幅度作为后处理方法,以消除背景信号、宽信号或扭曲基线的影响。从而确保对扩散系数的准确估计,以增强分子识别。

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