Evidence map›Paper›PMID 28851979›Full record

ArticleScientific reports2017

Super-Resolved Nuclear Magnetic Resonance Spectroscopy.

Satish Mulleti, Amrinder Singh, Varsha P Brahmkhatri, Kousik Chandra, Tahseen Raza, Sulakshana P Mukherjee, Chandra Sekhar Seelamantula, Hanudatta S Atreya

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. TScientific reports · 2019
    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

8 authors.

Satish MulletiDepartment of Electrical Engineering, Indian Institute of Science, Bangalore, 560012, India.ORCID 0000-0002-3995-9070
Amrinder SinghNMR Research Centre, Indian Institute of Science, Bangalore, 560012, India.ORCID 0000-0002-1677-337X
Varsha P BrahmkhatriNMR Research Centre, Indian Institute of Science, Bangalore, 560012, India.
Kousik ChandraNMR Research Centre, Indian Institute of Science, Bangalore, 560012, India.
Tahseen RazaDepartment of Biosciences, Indian Institute of Technology, Roorkee, 247667, India.
Sulakshana P MukherjeeDepartment of Biosciences, Indian Institute of Technology, Roorkee, 247667, India.
Chandra Sekhar SeelamantulaDepartment of Electrical Engineering, Indian Institute of Science, Bangalore, 560012, India. chandra.sekhar@ieee.org.
Hanudatta S AtreyaNMR Research Centre, Indian Institute of Science, Bangalore, 560012, India. hsatreya@sif.iisc.ernet.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a novel method that breaks the resolution barrier in nuclear magnetic resonance (NMR) spectroscopy, allowing one to accurately estimate the chemical shift values of highly overlapping or broadened peaks. This problem is routinely encountered in NMR when peaks have large linewidths due to rapidly decaying signals, hindering its application. We address this problem based on the notion of finite-rate-of-innovation (FRI) sampling, which is based on the premise that signals such as the NMR signal, can be accurately reconstructed using fewer measurements than that required by existing approaches. The FRI approach leads to super-resolution, beyond the limits of contemporary NMR techniques. Using this method, we could measure for the first time small changes in chemical shifts during the formation of a Gold nanorod-protein complex, facilitating the quantification of the strength of such interactions. The method thus opens up new possibilities for the application and acceleration of multidimensional NMR spectroscopy across a wide range of systems.

Identifiers

PMID28851979
PMCPMC5575056

What OpenQuestion holds

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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.