Literature DB >> 32405677

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

Bin Yuan1, Xu Zhang1,2, Ghulam Mustafa Kamal3, Bin Jiang4, Maili Liu5,6.   

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.

Entities:  

Keywords:  Derivative spectra; Diffusion coefficient; Molecule identification; Savitzky-Golay

Mesh:

Year:  2020        PMID: 32405677     DOI: 10.1007/s00216-020-02693-7

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  28 in total

1.  Improving pulse sequences for 3D diffusion-ordered NMR spectroscopy: 2DJ-IDOSY.

Authors:  Mathias Nilsson; Ana M Gil; Ivonne Delgadillo; Gareth A Morris
Journal:  Anal Chem       Date:  2004-09-15       Impact factor: 6.986

2.  RECORD processing - a robust pathway to component-resolved HR-PGSE NMR diffusometry.

Authors:  Peter Stilbs
Journal:  J Magn Reson       Date:  2010-10-07       Impact factor: 2.229

3.  NMR diffusion measurements in complex mixtures using constant-time-HSQC-IDOSY and computer-optimized spectral aliasing for high resolution in the carbon dimension.

Authors:  Bruno Vitorge; Damien Jeannerat; Damien Jeanneat
Journal:  Anal Chem       Date:  2006-08-01       Impact factor: 6.986

4.  Speedy component resolution: an improved tool for processing diffusion-ordered spectroscopy data.

Authors:  Mathias Nilsson; Gareth A Morris
Journal:  Anal Chem       Date:  2008-04-12       Impact factor: 6.986

5.  NMR spectroscopic approach reveals metabolic diversity of human blood plasma associated with protein-drug interaction.

Authors:  Yuanyuan Du; Wenxian Lan; Zhusheng Ji; Xu Zhang; Bin Jiang; Xin Zhou; Conggang Li; Maili Liu
Journal:  Anal Chem       Date:  2013-08-30       Impact factor: 6.986

6.  High-resolution diffusion and relaxation edited one- and two-dimensional 1H NMR spectroscopy of biological fluids.

Authors:  M Liu; J K Nicholson; J C Lindon
Journal:  Anal Chem       Date:  1996-10-01       Impact factor: 6.986

7.  Local covariance order diffusion-ordered spectroscopy: a powerful tool for mixture analysis.

Authors:  Adam A Colbourne; Gareth A Morris; Mathias Nilsson
Journal:  J Am Chem Soc       Date:  2011-04-29       Impact factor: 15.419

8.  Rapid characterization of molecular diffusion by NMR spectroscopy.

Authors:  Shivanand M Pudakalakatti; Kousik Chandra; Ravula Thirupathi; Hanudatta S Atreya
Journal:  Chemistry       Date:  2014-10-21       Impact factor: 5.236

9.  Reconstructing diffusion ordered NMR spectroscopy by simultaneous inversion of Laplace transform.

Authors:  Bin Yuan; Yiming Ding; Ghulam M Kamal; Limin Shao; Zhiming Zhou; Bin Jiang; Peng Sun; Xu Zhang; Maili Liu
Journal:  J Magn Reson       Date:  2017-03-07       Impact factor: 2.229

Review 10.  Diffusion NMR studies of macromolecular complex formation, crowding and confinement in soft materials.

Authors:  Suliman Barhoum; Swomitra Palit; Anand Yethiraj
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2016-02-04       Impact factor: 9.795

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.