Evidence map›Paper›PMID 33484368›Full record

ArticleJournal of fluorescence2021

Enhancmentation of Photo-Thermal Lens of Fluorescence Molecules by Fluorescence Resonance Energy Transfer Mechanism.

Nader Shokoufi, Samira Vaziri Heshi

Abstract read
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In one paragraph

Article in Journal of fluorescence, 2021. 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
1.0field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

2 authors at 1 institution in 1 country.

Nader ShokoufiAnalytical Instrumentation and Spectroscopy Laboratory, Chemistry and Chemical Engineering Research Center of Iran, Tehran, Iran. n.shokoufi@ccerci.ac.ir.ORCID http://orcid.org/0000-0002-1123-3067
Samira Vaziri HeshiAnalytical Instrumentation and Spectroscopy Laboratory, Chemistry and Chemical Engineering Research Center of Iran, Tehran, Iran.
Chemistry and Chemical Engineering Research Center of Iran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The photo-thermal lens technique is based on the measurement of the gradient temperature that is produced in an illuminated sample by laser beam as a result of non-radiative relaxation. The sensitivity of photo-thermal lens is higher than conventional absorption techniques, due to the direct measurement of absorbed energy. However, the main drawback of the photo-thermal lens technique is the inability to measure molecules that release their excess energy of absorption in the form of radiation relaxation. In fluorescence molecules, because their excess energy is released by radiation, the photo-thermal lens is insignificant. In this research, we aim to increase the photo-thermal lens sensitivity of the fluorescence molecules by selecting the appropriate acceptor for the fluorescence molecules as the donor. We investigated the effect of the presence of AuNPs on the photo-thermal lens of di-triazene (DTA) as fluorescence molecules. We observed that AuNPs enhanced the photo-thermal lens of DTA. The quantum yield of DTA was calculated to be 90.45%. The energy transfer from DTA to AuNPs occurs by fluorescence resonance energy transfer (FRET) mechanism. The FRET efficiency was 83.43%. In the presence of AuNPs, the photo-thermal lens of the DTA was amplified by four times more. The calibration curve of DTA is linear in the range of 0.1 to 110 ng/mL. The limited of detection (LOD) value of 0.08 ng/mL is calculated.

Indexed as

AuNPsFluorescence moleculesFluorescence resonance energy transferPhoto-thermal lens

Identifiers

PMID33484368
OpenAlexW3122451664

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.