Evidence map›Paper›PMID 35643864›Full record

ArticleScientific reports2022

Controlled nano-agglomerates as stabile SERS reporters for unequivocal labelling.

Can Xiao, Bernat Mir-Simón, Pilar Rivera-Gil

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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 at 1 institution in 1 country.

Can XiaoIntegrative Biomedical Materials and Nanomedicine Lab, Department of Medicine and Life Sciences, University Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Spain.
Bernat Mir-SimónIntegrative Biomedical Materials and Nanomedicine Lab, Department of Medicine and Life Sciences, University Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Spain. bernat.mir@upf.edu.
Pilar Rivera-GilIntegrative Biomedical Materials and Nanomedicine Lab, Department of Medicine and Life Sciences, University Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Spain. pilar.rivera@upf.edu.
Pompeu Fabra University · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensors, especially those with a SERS readout, are required for an early and precise healthcare diagnosis. Unreproducible SERS platforms hamper clinical SERS. Here we report a synthetic procedure to obtain stabile, reproducible and robust highly-SERS performing nanocomposites for labelling. We controlled the NPs agglomeration and codification which resulted in an increased number of hot spots, thus exhibiting reproducible and superior Raman enhancement. We studied fundamental aspects affecting the plasmonic thiol bond resulting in pH exhibiting a determining role. We validated their biosensing performance by designing a SERS-based detection assay model for SARS-CoV-2. The limit of detection of our assay detecting the spike RBD was below 10 ng/mL.

Indexed as

COVID-19Metal NanoparticlesGoldHumansSARS-CoV-2Spectrum Analysis, RamanGold

Identifiers

PMID35643864
PMCPMC9142785
OpenAlexW4281910145

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.