Evidence map›Paper›PMID 39717813›Full record

ArticleRSC advances2024

Plasmonic colorimetric sensor based on alpha-cyclodextrin-functionalized silver nanoparticles for the selective detection of arsenic(iii) in aqueous media.

Dileshwari Sahu, Madhuri Khute, Ajai Kumar Pillai

Abstract read
In one paragraph

Article in RSC advances, 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. 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

3 authors.

Dileshwari SahuGovt. V.Y.T. Post Graduate Autonomous College Durg-491001 Chhattisgarh India drajaipillai@gmail.com +91 78823-93644.ORCID https://orcid.org/0009-0000-9497-7514
Madhuri KhuteGovernment Nagarjuna Post Graduate College of Science Raipur-492010 Chhattisgarh India.
Ajai Kumar PillaiGovt. V.Y.T. Post Graduate Autonomous College Durg-491001 Chhattisgarh India drajaipillai@gmail.com +91 78823-93644.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optical detection of arsenic (As) in human biological fluids and environmental water samples is presented using alpha-cyclodextrin-modified silver nanoparticles (α/CyD-AgNPs) at the trace level. This method is based on the measurement of a red shift of the LSPR band of α/CyD-AgNPs in the region of 200-800 nm. The color of α/CyD-AgNPs was changed from yellow to colorless by the addition of As(iii). The mechanism for the detection of As(iii) is based on the electrostatic interaction between the positively charged As(iii), which causes the red shift of the LSPR band from 410 nm to 580 nm. As(iii) ions specifically interact with α/CyD-AgNPs to form As(iii)-α/CyD-AgNPs and cause a remarkable decrease in the absorbance peak of AgNPs at 410 nm, which enables the determination of As(iii) with high selectivity and sensitivity. The interaction between α/CyD-AgNPs and As(iii) is theoretically explored by density functional theory (DFT) using LANL2DZ basis sets with the help of the Gaussian 09 (C.01) program. The developed colorimetric method provides a detection limit of 12.5 ppm with a detection range of 20-500 μg mL

Identifiers

PMID39717813
PMCPMC11665280

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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.