Evidence map›Paper›PMID 37140885›Full record

ArticleAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2023

Water-soluble anionic N-confused porphyrin for sensitive and selective detection of heavy metal pollutants in aqueous environment.

Muthu Mariammal, Nisha Sahane, Shraeddha Tiwari

Abstract read
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In one paragraph

Article in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 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
0.9field-weighted citation impact, top 31% 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, 6 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

Muthu MariammalDepartment of Chemistry, Institute of Chemical Technology, Mumbai, Maharashtra, 400019, India.ORCID http://orcid.org/0000-0003-3817-1959
Nisha SahaneDepartment of Chemistry, Institute of Chemical Technology, Mumbai, Maharashtra, 400019, India.ORCID http://orcid.org/0000-0001-9636-0876
Shraeddha TiwariDepartment of Chemistry, Institute of Chemical Technology, Mumbai, Maharashtra, 400019, India. ss.tiwari@ictmumbai.edu.in.ORCID http://orcid.org/0000-0001-7600-5738
Institute of Chemical Technology · IN

Funding

Department of Science and Technology (IN) SR/WOS-A/CS-97/2018 (G)SARTHI (IN) CSMNRF-2020
6 · The paper itself

Abstract

Efficient detection and quantification of metal ions in real time and in a cost-effective manner is a critical step in combating the increasing danger of heavy metal contamination of our biosphere. The potential of water-soluble anionic derivative of N-confused tetraphenylporphyrin (WS-NCTPP) has been investigated for quantitative detection of heavy metal ions. The results show that the photophysical properties of WS-NCTPP differ significantly in the presence of four metal ions, namely Hg(II), Zn(II), Co(II) and Cu(II). The variation in the spectral behaviour is driven by the formation of 1:1 complexes with all the four cations with varied degree of complexation. The selectivity of the sensing is studied through interference studies, indicating maximum selectivity for Hg(II) cations. Computational studies of the structural features of the metal complexes with WS-NCTPP help in establishing the geometry and binding interactions between the metal ions and the porphyrin nucleus. The results demonstrate the promising potential of the NCTPP probe which should be utilized for detection of heavy metal ions, especially mercury, in the near future.

Indexed as

Computational studyMercury detectionUV–Vis spectroscopyWS-NCTPP

Identifiers

PMID37140885
OpenAlexW4368361050

What OpenQuestion holds

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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.