Evidence map›Paper›PMID 31459662›Full record

ArticleACS omega2019

Unique Photophysical Behavior of Coumarin-Based Viscosity Probes during Molecular Self-Assembly.

Silvio Panettieri, Julian R Silverman, Riccardo Nifosí, Giovanni Signore, Ranieri Bizzarri, George John

Abstract read
In one paragraph

Article in ACS omega, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Silvio PanettieriDepartment of Chemistry and Biochemistry, and Center for Discovery and Innovation, The City College of New York, New York, New York 10031, United States.
Julian R SilvermanDepartment of Chemistry and Biochemistry, and Center for Discovery and Innovation, The City College of New York, New York, New York 10031, United States.
Riccardo NifosíNEST, Scuola Normale Superiore and Istituto Nanoscienze, piazza San Silvestro 12, I-56127 Pisa, Italy.
Giovanni SignoreCenter for Nanotechnology Innovation @NEST, Istituto Italiano di Tecnologia, piazza San Silvestro 12, I-56127 Pisa, Italy.
Ranieri BizzarriNEST, Scuola Normale Superiore and Istituto Nanoscienze, piazza San Silvestro 12, I-56127 Pisa, Italy.
George JohnDepartment of Chemistry and Biochemistry, and Center for Discovery and Innovation, The City College of New York, New York, New York 10031, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intermolecular interactions impact self-assembly phenomena having a variety of bio/chemical, physical, and mechanical consequences. Nevertheless, the underlying mechanisms leading to a controlled stereo- and chemo-specific aggregation at the molecular level often remain elusive because of the intrinsically dynamic nature of these processes. Herein, we describe two 3-styryl coumarin molecular rotors capable of probing subtle intermolecular interactions controlling the self-assembly of a small-molecule organogelator. Complementing the characterization of the gel via circular dichroism and atomic force microscopy, thorough spectroscopic investigations on these sensors were carried out to prove their high chemical and spatial affinity toward the 3D supramolecular network. The results were further supported by molecular dynamics simulations to reveal further critical insights into the gelator's dynamic self-assembly mechanism. These sensors could potentially serve as templates to study a variety of soft-supramolecular architectures and the ways in which they assemble.

Identifiers

PMID31459662
PMCPMC6648471

What OpenQuestion holds

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Registered trials

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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.