Evidence map›Paper›PMID 29938390›Full record

ArticleJournal of fluorescence2018

Two Photon Spectroscopy Can Serve as a Marker of Protein Denaturation Pathway.

Dipak Kumar Das, Sk Imadul Islam, Nirnay Samanta, Yogendra Yadav, Debabrata Goswami, Rajib Kumar Mitra

Abstract read
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In one paragraph

Article in Journal of fluorescence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Dipak Kumar DasDepartment of Chemical, Biological & Macromolecular Sciences, S. N. Bose National Centre for Basic Sciences, Block JD Sector-III, Salt Lake, Kolkata, 700106, India. chem2007dip@gmail.com.
Sk Imadul IslamDepartment of Chemical, Biological & Macromolecular Sciences, S. N. Bose National Centre for Basic Sciences, Block JD Sector-III, Salt Lake, Kolkata, 700106, India.
Nirnay SamantaDepartment of Chemical, Biological & Macromolecular Sciences, S. N. Bose National Centre for Basic Sciences, Block JD Sector-III, Salt Lake, Kolkata, 700106, India.
Yogendra YadavDepartment of Chemistry, Indian Institute of Technology, Kanpur, Uttar Pradesh, 208016, India.
Debabrata GoswamiDepartment of Chemistry, Indian Institute of Technology, Kanpur, Uttar Pradesh, 208016, India. dgoswami@iitk.ac.in.
Rajib Kumar MitraDepartment of Chemical, Biological & Macromolecular Sciences, S. N. Bose National Centre for Basic Sciences, Block JD Sector-III, Salt Lake, Kolkata, 700106, India. rajib@bose.res.in.
S.N. Bose National Centre for Basic Sciences · INIndian Institute of Technology Kanpur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhodamine group of molecules are widely used dyes for imaging of biological molecules. Application of these dyes however includes a limitation that these molecules absorb in the visible range of the spectrum, which does not fall in the 'biologically transparent window' (BTW). Two photon absorption (TPA) process could come up with an alternate solution to this as these dyes could be excited in the near infrared (NIR) window to extract similar information. To validate this we have investigated TPA cross section (TPACS, σ

Indexed as

PhotonsProtein DenaturationFluorescent DyesProtein ConformationRhodaminesSerum Albumin, BovineSpectrometry, FluorescenceFluorescent Dyesrhodamine 6Grhodamine BRhodaminesSerum Albumin, BovineCircular dichroismHuman serum albuminRhodamineTwo photon

Identifiers

PMID29938390
OpenAlexW2810532640

What OpenQuestion holds

Textmetadata
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.