Evidence map›Paper›PMID 37476293›Full record

ArticleMagnetochemistry (Basel, Switzerland)2023

A Simulation Independent Analysis of Single- and Multi-Component cw ESR Spectra.

Aritro Sinha Roy, Boris Dzikovski, Dependu Dolui, Olga Makhlynets, Arnab Dutta, Madhur Srivastava

Abstract read
In one paragraph

Article in Magnetochemistry (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Aritro Sinha RoyDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853, USA.ORCID 0000-0001-5900-1997
Boris DzikovskiNational Biomedical Resource for Advanced ESR Spectroscopy, Cornell University, Ithaca, NY 14853, USA.
Dependu DoluiDepartment of Chemistry, Indian Institute of Technology Bombay, Mumbai 400076, India.ORCID 0000-0003-3296-7489
Olga MakhlynetsDepartment of Chemistry, Syracuse University, Syracuse, NY 13244, USA.ORCID 0000-0002-2763-7891
Arnab DuttaDepartment of Chemistry, Indian Institute of Technology Bombay, Mumbai 400076, India.ORCID 0000-0002-9998-6329
Madhur SrivastavaDepartment of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853, USA.ORCID 0000-0002-2095-0412

Funding

National Biomedical Resource for Electron-Spin Resonance Spectroscopy (ACERT)R24GM146107 · NIGMS · CORNELL UNIVERSITY · PI BRIAN R CRANE, Jack H Freed · 2022 to 2026
$6.4M
NIGMS NIH HHS R24 GM146107
6 · The paper itself

Abstract

The accurate analysis of continuous-wave electron spin resonance (cw ESR) spectra of biological or organic free-radicals and paramagnetic metal complexes is key to understanding their structure-function relationships and electrochemical properties. The current methods of analysis based on simulations often fail to extract the spectral information accurately. In addition, such analyses are highly sensitive to spectral resolution and artifacts, users' defined input parameters and spectral complexity. We introduce a simulation-independent spectral analysis approach that enables broader application of ESR. We use a wavelet packet transform-based method for extracting g values and hyperfine (A) constants directly from cw ESR spectra. We show that our method overcomes the challenges associated with simulation-based methods for analyzing poorly/partially resolved and unresolved spectra, which is common in most cases. The accuracy and consistency of the method are demonstrated on a series of experimental spectra of organic radicals and copper-nitrogen complexes. We showed that for a two-component system, the method identifies their individual spectral features even at a relative concentration of 5% for the minor component.

Indexed as

ESR spectral analysishyperfine decouplingresolution enhancementsimulation-free spectra analysiswavelet packet transform

Identifiers

PMID37476293
PMCPMC10357894

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Registered trials

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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.