Determining Interproton Distances from Severely Overlapped NMR Spectra Using Ultraselective Experiments

Abstract Stereoselectivity is a desirable property of many chemical reactions, with much effort geared toward devising synthetic pathways with high selectivity. In the early stages of designing such pathways, mixtures of diastereomeric products are typically formed. Characterization of these products provides valuable insight into reaction mechanisms, enabling chemists to adjust reaction conditions to maximize selectivity. NMR enables the study of such mixtures intact, with relative configurations determined by measuring scalar couplings or probing through-space 1H–1H interactions. However, for crowded 1H NMR spectra, critical information required to determine configuration is often inaccessible. Here, we use the ultraselective GEMSTONE method to measure diagnostic interproton distances even where overlap in 1H NMR spectra prevents selective excitation by conventional methods. The methodology is validated using strychnine, a well-studied rigid alkaloid, and used to characterize diastereomeric compounds formed in a synthetic reaction.

Authors

Institutions

Publication Details

Journal
Journal of the American Chemical Society
Published
2026-11-03
DOI
https://doi.org/10.1021/jacs.6c12010
Primary Topic
Molecular spectroscopy and chirality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determining Interproton Distances from Severely Overlapped NMR Spectra Using Ultraselective Experiments

Volker Schmidts, Jonathan P. Bradley, Christina Marie Thiele, Daniel B. G. Berry et al.
3 links
Journal of the American Chemical Society
Molecular spectroscopy and chirality
article

Determining Interproton Distances from Severely Overlapped NMR Spectra Using Ultraselective Experiments

Volker Schmidts, Jonathan P. Bradley, Christina Marie Thiele, Daniel B. G. Berry, Jan Rettig, Emma L. Gates, Laura Castanar, Ralph W. Adams, Gareth A. Morris
article en

Abstract

Abstract Stereoselectivity is a desirable property of many chemical reactions, with much effort geared toward devising synthetic pathways with high selectivity. In the early stages of designing such pathways, mixtures of diastereomeric products are typically formed. Characterization of these products provides valuable insight into reaction mechanisms, enabling chemists to adjust reaction conditions to maximize selectivity. NMR enables the study of such mixtures intact, with relative configurations determined by measuring scalar couplings or probing through-space 1H–1H interactions. However, for crowded 1H NMR spectra, critical information required to determine configuration is often inaccessible. Here, we use the ultraselective GEMSTONE method to measure diagnostic interproton distances even where overlap in 1H NMR spectra prevents selective excitation by conventional methods. The methodology is validated using strychnine, a well-studied rigid alkaloid, and used to characterize diastereomeric compounds formed in a synthetic reaction.

Journal of the American Chemical Society
Universidad Complutense de Madrid (ES), Johnson Matthey (Germany) (DE), University of Manchester (GB), Technische Universität Darmstadt (DE), Johnson Matthey (United States) (US)
Openalex Percentile: Top 33%
Molecular spectroscopy and chirality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Determining Interproton Distances from Severely Overlapped NMR Spectra Using Ultraselective Experiments — Volker Schmidts, Jonathan P. Bradley, et al. · Journal of the American Chemical Society (2026) | TGRS Research Map | TGRS