Evidence map›Paper›PMID 37249679›Full record

ArticleJournal of fluorescence2024

Furan-Dihydroquinazolinone Based Fluorescent Nanoprobe for Selective Recognition of 4-Nitrophenol: A Spectofluorimetric Approach.

Saubai B Wakshe, Pravin R Dongare, Anil H Gore, Gurunath V Mote, Prashant V Anbhule, Govind B Kolekar

Abstract read
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In one paragraph

Article in Journal of fluorescence, 2024. 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
–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

1 citing paper in PubMed.

  1. Review
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.

Saubai B Wakshe *Fluorescence Spectroscopy Research Laboratory, Department of Chemistry, Shivaji University, Kolhapur, 416004, MS, India.
Pravin R Dongare *Fluorescence Spectroscopy Research Laboratory, Department of Chemistry, Shivaji University, Kolhapur, 416004, MS, India.
Anil H GoreTarsadia Institute of Chemical Science, Uka Tarsadia University, Bardoli, 394350, Gujarat, India.
Gurunath V MoteD. Y. Patil Agriculture and Technical University, Talsande, Kolhapur, 416112, MS, India.
Prashant V AnbhuleFluorescence Spectroscopy Research Laboratory, Department of Chemistry, Shivaji University, Kolhapur, 416004, MS, India.
Govind B KolekarFluorescence Spectroscopy Research Laboratory, Department of Chemistry, Shivaji University, Kolhapur, 416004, MS, India. gbkolekar@yahoo.co.in.

Funding

National Research Foundation of Korea BP Grant No.: 2019H1D3A2A01057526
6 · The paper itself

Abstract

Fluorescent organic nanoparticles (FONPs) have attracted much attention as a practicable and effective platform for detection applications. The present article describes the preparation of FONPs derived from the quinazolinone-based 2-(furan-2-yl)-2,3-dihydroquinazolin-4(1H)-one derivative FHDQ. Self-assembly of FHDQ in an aqueous medium resulted in the formation of FONPs through H-type aggregation and showed excellent fluorescence properties. The presence of other coexisting species solutions did not affect the selective fluorescence quenching observed with the addition of 4-nitrophenol (4-NP). The photophysical properties, i.e., UV-Vis absorbance, fluorescence emission, and lifetime measurements together with zeta particle sizer, support excited-state complex formation followed by a dynamic fluorescence quenching phenomenon in the emission of FDHQNPs. In the concentration range of 0 to 36 μg.[Formula: see text], the detection limit of this turn-off sensor FDHQNPs against 4-NP was determined to be 0.01611 μM. Finally, the practicability of the FDHQNPs for the analysis of 4-NP in environmental samples was demonstrated.

Indexed as

4-nitrophenolEnvironmental samplesFluorescent organic nanoparticlesQuinazolinone

Identifiers

PMID37249679

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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.