Evidence map›Paper›PMID 36340074›Full record

ReviewACS omega2022

Molecular Theory: A Tool for Predicting the Outcome of Self-Assembly of Polymers, Nanoparticles, Amphiphiles, and Other Soft Materials.

Gervasio Zaldivar, Yamila A Perez Sirkin, Gabriel Debais, Maria Fiora, Leandro L Missoni, Estefania Gonzalez Solveyra, Mario Tagliazucchi

Abstract readReview
In one paragraph

Review in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Engineering a nanoantibiotic system displaying dual mechanism of action.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
  8. 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

7 authors.

Gervasio ZaldivarDepartamento de Química Inorgánica Analítica y Química Física, Ciudad Universitaria, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 2 C1428EGA, Buenos Aires, Argentina.
Yamila A Perez SirkinDepartamento de Química Inorgánica Analítica y Química Física, Ciudad Universitaria, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 2 C1428EGA, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0003-2095-6491
Gabriel DebaisInstituto de Química de los Materiales, Ambiente y Energía (INQUIMAE). Ciudad Universitaria, CONICET, Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Pabellón 2 C1428EGA, Buenos Aires, Argentina.
Maria FioraINTI-Micro y Nanotecnologías, Instituto Nacional de Tecnología Industrial (INTI), San Martín, Buenos Aires B1650WAB, Argentina.
Leandro L MissoniDepartamento de Química Inorgánica Analítica y Química Física, Ciudad Universitaria, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 2 C1428EGA, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0002-3131-4606
Estefania Gonzalez SolveyraUniversidad Nacional de San Martin, Instituto de Nanosistemas, UNSAM-CONICET, Av. 25 de Mayo 1021, 1650 San Martín, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0003-0226-9508
Mario TagliazucchiDepartamento de Química Inorgánica Analítica y Química Física, Ciudad Universitaria, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Pabellón 2 C1428EGA, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0003-4755-955X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The supramolecular organization of soft materials, such as colloids, polymers, and amphiphiles, results from a subtle balance of weak intermolecular interactions and entropic forces. This competition can drive the self-organization of soft materials at the nano-/mesoscale. Modeling soft-matter self-assembly requires, therefore, considering a complex interplay of forces at the relevant length scales without sacrificing the molecular details that define the chemical identity of the system. This mini-review focuses on the application of a tool known as molecular theory to study self-assembly in different types of soft materials. This tool is based on extremizing an approximate free energy functional of the system, and, therefore, it provides a direct, computationally affordable estimation of the stability of different self-assembled morphologies. Moreover, the molecular theory explicitly incorporates structural details of the chemical species in the system, accounts for their conformational degrees of freedom, and explicitly includes their chemical equilibria. This mini-review introduces the general ideas behind the theoretical formalism and discusses its advantages and limitations compared with other theoretical tools commonly used to study self-assembled soft materials. Recent application examples are discussed: the self-patterning of polyelectrolyte brushes on planar and curved surfaces, the formation of nanoparticle (NP) superlattices, and the self-organization of amphiphiles into micelles of different shapes. Finally, prospective methodological improvements and extensions (also relevant for related theoretical tools) are analyzed.

Identifiers

PMID36340074
PMCPMC9631762

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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.