Evidence map›Paper›PMID 38700232›Full record

ArticleIUCrJ2024

Toward a quantitative description of solvation structure: a framework for differential solution scattering measurements.

Niklas B Thompson, Karen L Mulfort, David M Tiede

Abstract read
In one paragraph

Article in IUCrJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Niklas B ThompsonDivision of Chemical Sciences and Engineering, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois 60439 USA.ORCID 0000-0003-2745-4945
Karen L MulfortDivision of Chemical Sciences and Engineering, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois 60439 USA.ORCID 0000-0002-3132-1179
David M TiedeDivision of Chemical Sciences and Engineering, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, Illinois 60439 USA.ORCID 0000-0002-2784-4954

Funding

U.S. Department of Energy, Office of Science DE-AC02-06CH11357
6 · The paper itself

Abstract

Appreciating that the role of the solute-solvent and other outer-sphere interactions is essential for understanding chemistry and chemical dynamics in solution, experimental approaches are needed to address the structural consequences of these interactions, complementing condensed-matter simulations and coarse-grained theories. High-energy X-ray scattering (HEXS) combined with pair distribution function analysis presents the opportunity to probe these structures directly and to develop quantitative, atomistic models of molecular systems in situ in the solution phase. However, at concentrations relevant to solution-phase chemistry, the total scattering signal is dominated by the bulk solvent, prompting researchers to adopt a differential approach to eliminate this unwanted background. Though similar approaches are well established in quantitative structural studies of macromolecules in solution by small- and wide-angle X-ray scattering (SAXS/WAXS), analogous studies in the HEXS regime-where sub-ångström spatial resolution is achieved-remain underdeveloped, in part due to the lack of a rigorous theoretical description of the experiment. To address this, herein we develop a framework for differential solution scattering experiments conducted at high energies, which includes concepts of the solvent-excluded volume introduced to describe SAXS/WAXS data, as well as concepts from the time-resolved X-ray scattering community. Our theory is supported by numerical simulations and experiment and paves the way for establishing quantitative methods to determine the atomic structures of small molecules in solution with resolution approaching that of crystallography.

Indexed as

aperiodic structuresHEXShigh-energy X-ray scatteringinorganic chemistryintermolecular interactionspair distribution function analysisSAXSWAXS

Identifiers

PMID38700232
PMCPMC11067739

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.