Evidence map›Paper›PMID 39738440›Full record

ArticleScientific reports2024

Aggregation pathway complexity in a simple perylene diimide.

Hyung Jun Kim, Changhwan Lee, P James Schuck, Laura J Kaufman

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Hyung Jun KimDepartment of Chemistry, Columbia University, New York, NY, 10027, USA.
Changhwan LeeDepartment of Mechanical Engineering, Columbia University, New York, NY, 10027, USA.
P James SchuckDepartment of Mechanical Engineering, Columbia University, New York, NY, 10027, USA.
Laura J KaufmanDepartment of Chemistry, Columbia University, New York, NY, 10027, USA. kaufman@chem.columbia.edu.

Funding

National Science Foundation CHE-1807931National Science Foundation CHE-2203510
6 · The paper itself

Abstract

This study characterizes the influence of self-assembly conditions on the aggregation pathway and resulting photophysical properties of one-dimensional aggregates of the simple imide-substituted perylene diimide, N, N'-didodecyl-3,4,9,10-perylenedicarboximide (ddPDI). We show that ddPDI, which has symmetric alkyl chains at the imide positions, assembles into fibers with distinct morphology, emission spectra, and temperature-dependent behavior as a function of preparation conditions. In all conditions explored, aggregates are one-dimensional; however, assembly conditions can bias formation to either J-like or H-like aggregates. Specifically, a solvent phase interfacial (SPI) method yields two types of aggregates with distinct morphology and photophysical properties while a surface and solvent vapor assisted method (SSVA) generates more uniform aggregates with H-dominant behavior. A combined SPI and SSVA approach facilitates the simultaneous generation and in situ characterization of distinct ddPDI assemblies, some of which assemble via seeded growth. Microscopic and spectroscopic imaging unveil the heterogeneity among ddPDI aggregates, each with unique photophysical properties including H-dominant aggregates with a very high degree of molecular alignment and uniformity in intermolecular organization. Overall, this study highlights the pathway complexity in self-assembly of even the simplest PDI molecules, paving the way for utilization of simple PDI aggregates in applications that demand diverse photophysical behavior.

Identifiers

PMID39738440
PMCPMC11685482

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.