Evidence map›Paper›PMID 35558801›Full record

ArticleRSC advances2018

The power of fluorescence excitation-emission matrix (EEM) spectroscopy in the identification and characterization of complex mixtures of fluorescent silver clusters.

H Ramsay, D Simon, E Steele, A Hebert, R D Oleschuk, K G Stamplecoskie

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 25 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

H RamsayDepartment of Chemistry, Queen's University Kingston Ontario K7L 3N6 Canada kevin.stamplecoskie@queensu.ca.
D SimonDepartment of Chemistry, Queen's University Kingston Ontario K7L 3N6 Canada kevin.stamplecoskie@queensu.ca.
E SteeleDepartment of Chemistry, Queen's University Kingston Ontario K7L 3N6 Canada kevin.stamplecoskie@queensu.ca.
A HebertDepartment of Chemistry, Queen's University Kingston Ontario K7L 3N6 Canada kevin.stamplecoskie@queensu.ca.
R D OleschukDepartment of Chemistry, Queen's University Kingston Ontario K7L 3N6 Canada kevin.stamplecoskie@queensu.ca.
K G StamplecoskieDepartment of Chemistry, Queen's University Kingston Ontario K7L 3N6 Canada kevin.stamplecoskie@queensu.ca.ORCID https://orcid.org/0000-0002-0232-9956
Queen's University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silver and gold clusters have received a lot of recent attention for their use in biomedical imaging. However, crude solutions of clusters are often complex mixtures, leading to discrepancies in their identification and characterization; important factors in determining their utility in biological applications. In the present study, silver clusters were separated for analysis using reverse-phase high performance liquid chromatography, which has previously been implemented in the efficient separation of gold clusters. Using fluorescence excitation-emission matrix (EEM) spectroscopy, we have demonstrated that a certain family of glutathione-protected silver clusters, previously thought to be one optically distinct species, is better described as a complex mixture of at least three distinct silver cluster species, each possessing unique optical properties. Based on these findings, EEM spectroscopy can be implemented as a powerful technique for determining the purity of complex mixtures, especially when other techniques, including mass spectrometry, fail to provide adequate characterization of a given material.

Identifiers

PMID35558801
PMCPMC9092091
OpenAlexW2905008900

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.