Evidence map›Paper›PMID 31123720›Full record

ArticleInventions (Basel, Switzerland)2019

Molecular Thermodynamics Using Nuclear Magnetic Resonance (NMR) Spectroscopy.

Viswanathan V Krishnan

Abstract read
In one paragraph

Article in Inventions (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
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

1 author.

Viswanathan V KrishnanDepartment of Chemistry, California State University, Fresno, CA 93740, USA.ORCID 0000-0002-0726-950X

Funding

Introduction to Quantitative Genomic Analysis - A CUREs ApproachR25GM131956 · NIGMS · CALIFORNIA STATE UNIVERSITY FRESNO · PI KRISHNAN, VISWANATHAN V · 2019 to 2023
$2.5M
Fresno State and UC Merced Bridges to the Doctorate Program in Biomedical and Behavioral SciencesR25GM115293 · NIGMS · CALIFORNIA STATE UNIVERSITY FRESNO · PI KRISHNAN, VISWANATHAN V, LIWANG, ANDY · 2015 to 2019
$1.2M
EFFECT OF WESTERN DIET IN GASTROINTESTINAL CANCER BY NMR METABOLOMICSSC3GM125546 · NIGMS · CALIFORNIA STATE UNIVERSITY FRESNO · PI KRISHNAN, VISWANATHAN V · 2018 to 2021
$420k
NIGMS NIH HHS R25 GM115293NIGMS NIH HHS R25 GM131956NIGMS NIH HHS SC3 GM125546
6 · The paper itself

Abstract

Nuclear magnetic resonance (NMR) spectroscopy is perhaps the most widely used technology from the undergraduate teaching labs in organic chemistry to advanced research for the determination of three-dimensional structure as well as dynamics of biomolecular systems... The NMR spectrum of a molecule under a given experimental condition is unique, providing both quantitative and structural information. In particular, the quantitative nature of NMR spectroscopy offers the ability to follow a reaction pathway of the given molecule in a dynamic process under well-defined experimental conditions. To highlight the use of NMR when determining the molecular thermodynamic parameters, a review of three distinct applications developed from our laboratory is presented. These applications include the thermodynamic parameters of (a) molecular oxidation from time-dependent kinetics, (b) intramolecular rotation, and (c) intermolecular exchange. An experimental overview and the method of data analysis are provided so that these applications can be adopted in a range of molecular systems.

Indexed as

chemical exchangeEyring equationNMRthermodynamics

Identifiers

PMID31123720
PMCPMC6528671

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.