Evidence map›Paper›PMID 27031284›Full record

ArticleThe journal of physical chemistry. B2016

Self-Assembly and Critical Aggregation Concentration Measurements of ABA Triblock Copolymers with Varying B Block Types: Model Development, Prediction, and Validation.

Fikret Aydin, Xiaolei Chu, Geetartha Uppaladadium, David Devore, Ritu Goyal, N Sanjeeva Murthy, Zheng Zhang, Joachim Kohn, Meenakshi Dutt

Open access · greenAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 38 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Fikret AydinDepartment of Chemical Engineering and ‡New Jersey Center for Biomaterials, Rutgers, The State University of New Jersey , Piscataway 08854, New Jersey, United States.
Xiaolei ChuDepartment of Chemical Engineering and ‡New Jersey Center for Biomaterials, Rutgers, The State University of New Jersey , Piscataway 08854, New Jersey, United States.
Geetartha UppaladadiumDepartment of Chemical Engineering and ‡New Jersey Center for Biomaterials, Rutgers, The State University of New Jersey , Piscataway 08854, New Jersey, United States.
David DevoreDepartment of Chemical Engineering and ‡New Jersey Center for Biomaterials, Rutgers, The State University of New Jersey , Piscataway 08854, New Jersey, United States.
Ritu GoyalDepartment of Chemical Engineering and ‡New Jersey Center for Biomaterials, Rutgers, The State University of New Jersey , Piscataway 08854, New Jersey, United States.
N Sanjeeva MurthyDepartment of Chemical Engineering and ‡New Jersey Center for Biomaterials, Rutgers, The State University of New Jersey , Piscataway 08854, New Jersey, United States.
Zheng ZhangDepartment of Chemical Engineering and ‡New Jersey Center for Biomaterials, Rutgers, The State University of New Jersey , Piscataway 08854, New Jersey, United States.
Joachim KohnDepartment of Chemical Engineering and ‡New Jersey Center for Biomaterials, Rutgers, The State University of New Jersey , Piscataway 08854, New Jersey, United States.
Meenakshi DuttDepartment of Chemical Engineering and ‡New Jersey Center for Biomaterials, Rutgers, The State University of New Jersey , Piscataway 08854, New Jersey, United States.
Rutgers, The State University of New Jersey · US

Funding

RESBIO - the Technology Resource for Polymeric BiomaterialsP41EB001046 · NIBIB · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI KOHN, JOACHIM B. · 2003 to 2017
$17.0M
NIBIB NIH HHS P41 EB001046
6 · The paper itself

Abstract

The dissipative particle dynamics (DPD) simulation technique is a coarse-grained (CG) molecular dynamics-based approach that can effectively capture the hydrodynamics of complex systems while retaining essential information about the structural properties of the molecular species. An advantageous feature of DPD is that it utilizes soft repulsive interactions between the beads, which are CG representation of groups of atoms or molecules. In this study, we used the DPD simulation technique to study the aggregation characteristics of ABA triblock copolymers in aqueous medium. Pluronic polymers (PEG-PPO-PEG) were modeled as two segments of hydrophilic beads and one segment of hydrophobic beads. Tyrosine-derived PEG5K-b-oligo(desaminotyrosyl tyrosine octyl ester-suberate)-b-PEG5K (PEG5K-oligo(DTO-SA)-PEG5K) block copolymers possess alternate rigid and flexible components along the hydrophobic oligo(DTO-SA) chain, and were modeled as two segments of hydrophilic beads and one segment of hydrophobic, alternate soft and hard beads. The formation, structure, and morphology of the initial aggregation of the polymer molecules in aqueous medium were investigated by following the aggregation dynamics. The dimensions of the aggregates predicted by the computational approach were in good agreement with corresponding results from experiments, for the Pluronic and PEG5K-oligo(DTO-SA)-PEG5K block copolymers. In addition, DPD simulations were utilized to determine the critical aggregation concentration (CAC), which was compared with corresponding results from an experimental approach. For Pluronic polymers F68, F88, F108, and F127, the computational results agreed well with experimental measurements of the CAC measurements. For PEG5K-b-oligo(DTO-SA)-b-PEG5K block polymers, the complexity in polymer structure made it difficult to directly determine their CAC values via the CG scheme. Therefore, we determined CAC values of a series of triblock copolymers with 3-8 DTO-SA units using DPD simulations, and used these results to predict the CAC values of triblock copolymers with higher molecular weights by extrapolation. In parallel, a PEG5K-b-oligo(DTO-SA)-b-PEG5K block copolymer was synthesized, and the CAC value was determined experimentally using the pyrene method. The experimental CAC value agreed well with the CAC value predicted by simulation. These results validate our CG models, and demonstrate an avenue to simulate and predict aggregation characteristics of ABA amphiphilic triblock copolymers with complex structures.

Indexed as

Molecular Dynamics SimulationHydrophobic and Hydrophilic InteractionsPolymersPyrenesWaterPolymerspyrenePyrenesWater

Identifiers

PMID27031284
PMCPMC6700528
OpenAlexW2316540796

What OpenQuestion holds

Textmetadata
LicenceTDM
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.