Evidence map›Paper›PMID 29348509›Full record

ArticleScientific reports2018

Triggering molecular assembly at the mesoscale for advanced Raman detection of proteins in liquid.

Martina Banchelli, Marella de Angelis, Cristiano D'Andrea, Roberto Pini, Paolo Matteini

Abstract read
In one paragraph

Article in Scientific reports, 2018. 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
–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

5 citing papers in PubMed.

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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

5 authors.

Martina BanchelliInstitute of Applied Physics 'Nello Carrara', National Research Council (IFAC-CNR), via Madonna del Piano 10, Sesto Fiorentino, Italy.
Marella de AngelisInstitute of Applied Physics 'Nello Carrara', National Research Council (IFAC-CNR), via Madonna del Piano 10, Sesto Fiorentino, Italy.
Cristiano D'AndreaInstitute of Applied Physics 'Nello Carrara', National Research Council (IFAC-CNR), via Madonna del Piano 10, Sesto Fiorentino, Italy.
Roberto PiniInstitute of Applied Physics 'Nello Carrara', National Research Council (IFAC-CNR), via Madonna del Piano 10, Sesto Fiorentino, Italy.
Paolo MatteiniInstitute of Applied Physics 'Nello Carrara', National Research Council (IFAC-CNR), via Madonna del Piano 10, Sesto Fiorentino, Italy. p.matteini@ifac.cnr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An advanced optofluidic system for protein detection based on Raman signal amplification via dewetting and molecular gathering within temporary mesoscale assemblies is presented. The evaporation of a microliter volume of protein solution deposited in a circular microwell precisely follows an outward-receding geometry. Herein the combination of liquid withdrawal with intermolecular interactions induces the formation of self-assembled molecular domains at the solid-liquid interface. Through proper control of the evaporation rate, amplitude of the assemblies and time for spectral collection at the liquid edge are extensively raised, resulting in a local enhancement and refinement of the Raman response, respectively. Further signal amplification is obtained by taking advantage of the intense local electromagnetic fields generated upon adding a plasmonic coating to the microwell. Major advantages of this optofluidic method lie in the obtainment of high-quality, high-sensitivity Raman spectra with detection limit down to sub-micromolar values. Peculiarly, the assembled proteins in the liquid edge region maintain their native-like state without displaying spectral changes usually occurring when dried drop deposits are considered.

Indexed as

Spectrum Analysis, RamanLab-On-A-Chip DevicesProteinsSolutionsProteinsSolutions

Identifiers

PMID29348509
PMCPMC5773671

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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.