2022
DOI: 10.1038/s41598-022-20136-4
|View full text |Cite
|
Sign up to set email alerts
|

NMR lineshape analysis using analytical solutions of multi-state chemical exchange with applications to kinetics of host–guest systems

Abstract: Nuclear magnetic resonance (NMR) lineshape analysis is a powerful tool for the study of chemical kinetics. Here we provide techniques for analysis of the relationship between experimentally observed spin kinetics (transitions between different environments $$A,B,\dots$$ A , B , ⋯ ) and corresponding chemical kinetics (transitions between distinct chemical spe… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
13
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(13 citation statements)
references
References 35 publications
0
13
0
Order By: Relevance
“…This expression can be calculated efficiently numerically and integrated into a nonlinear minimisation algorithm to fit experimental data [40,46]. For the case of two-state exchange, an analytical expression for the observed spectrum can also be derived by this approach [47][48][49]:…”
Section: Figmentioning
confidence: 99%
“…This expression can be calculated efficiently numerically and integrated into a nonlinear minimisation algorithm to fit experimental data [40,46]. For the case of two-state exchange, an analytical expression for the observed spectrum can also be derived by this approach [47][48][49]:…”
Section: Figmentioning
confidence: 99%
“…For the spectra in the transition region (3.3–4.8 M urea concentration), peak integration was employed in Topspin to derive p F and p U from the area under the peaks. For the 19 F FL RfaH, the 19 F NMR spectra (Figure ) in the transition region were globally fit to the real part of the analytical solution of the Bloch-McConnell equation (for asymmetric two-site exchange) in the frequency domain , using an in-house Python script: Y false( ω false) = C 0 { k ex + p normalF [ R 2 U i false( ω ω normalU false) ] + p normalU [ R 2 F + i false( ω ω normalF false) ] } / { k ex p F false[ R 2 normalF + i ( ω ω F ) false] + k ex p U false[ R 2 normalU + i ( ω ω U …”
Section: Methodsmentioning
confidence: 99%
“…with a common exchange rate k ex between each folded and the single unfolded species with populations p A , p B , and p C , respectively, no chemical exchange ( k ex = 0) between the two folded species and shared parameters R 2 A , R 2 B , and R 2 C across data sets, following the analytical solution described in ref to the equation: Y ( ω ) = C 0 A C + B D B 2 + D 2 where A = p A [ R 2 B R 2 C + R 2 B true( p C k ex true( p A + p C true) + p A k ex true( p A + p C true) + k ex p B true( p B + p C true) true) + R 2 C ( k ex p C ( p B + p C ) ) ( ω ω B ) ( ω ω C ) true] + p B true[ R 2 A …”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations