Recent advances in applied polymer science

Spiegel, Stefan

doi:10.1002/app.46279

Cited by 18 publications

(16 citation statements)

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“…Table presents the examples of some relevant properties and applications that these nanofillers can offer to different polymer matrixes. More details about the combinations of matrixes and boehmite can be found in a review study published in 2018 …”

Section: Nanofillersmentioning

confidence: 99%

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An application‐oriented roadmap to select polymeric nanocomposites for advanced applications: A review

2019

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Polymeric nanocomposites are the materials incorporating nanosized inclusions into the polymer matrixes. The result of the addition of nanoparticles/fibers is a drastic improvement in properties that may include mechanical, electrical, thermal conductivity, or even the acoustical properties. Polymer nanocomposites have spawned huge interest for the development of high‐performance products such as lightweight sensors, thin‐film capacitors, batteries, flame retardant products, biodegradable and biocompatible materials, and so on. The field of polymer nanocomposites has been at the forefront of research in the polymer community for the past few decades and an extremely large number of scientific papers have been published. Nevertheless, application‐oriented guidelines for selecting the ecofriendly nanocomposites for advanced industrial applications are missing in the state of the art. This review article summarizes the current state‐of‐the‐art polymeric nanocomposites, highlighting prominent nanofillers categorized based on their applications, origins, dimensional characteristics, and so on. Each filler type contains a short description of its main feature together with the most relevant and potential applications. To address the global concern about nondegradable wastes, novel green alternatives of each nanofiller type are discussed. Special attention is also given to the biocompatibility properties of the composites. This study provides a state‐of‐the‐art road map to select multifunctional polymeric nanocomposites from huge varieties for advanced industrial applications.

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Section: Nanofillersmentioning

confidence: 99%

“…More details about the combinations of matrixes and boehmite can be found in a review study published in 2018. [219]…”

Section: Boehmitementioning

confidence: 99%

An application‐oriented roadmap to select polymeric nanocomposites for advanced applications: A review

2019

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“…Specifically, pH responsive nanoparticle platforms as well as enzyme responsive (e.g., protease, hydrolase, oxidase) have been used as a basis to achieve triggered release in biological environments. Full descriptions and reviews of stimuli-responsive nanoparticle platforms are outside the scope of this review can be found elsewhere [ 129 , 130 , 131 , 132 ]. Moving forward, stimuli-responsive platforms to control drug release may help address the gap between pre-clinical and clinical studies to improve treatment efficacy as well as patient compliance.…”

Section: Discussionmentioning

confidence: 99%

Polymeric Nanoparticle Delivery of Combination Therapy with Synergistic Effects in Ovarian Cancer

Levit

Tang

2021

Nanomaterials

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Treatment of ovarian cancer is challenging due to late stage diagnosis, acquired drug resistance mechanisms, and systemic toxicity of chemotherapeutic agents. Combination chemotherapy has the potential to enhance treatment efficacy by activation of multiple downstream pathways to overcome drug resistance and reducing required dosages. Sequence of delivery and the dosing schedule can further enhance treatment efficacy. Formulation of drug combinations into nanoparticles can further enhance treatment efficacy. Due to their versatility, polymer-based nanoparticles are an especially promising tool for clinical translation of combination therapies with tunable dosing schedules. We review polymer nanoparticle (e.g., micelles, dendrimers, and lipid nanoparticles) carriers of drug combinations formulated to treat ovarian cancer. In particular, the focus on this review is combinations of platinum and taxane agents (commonly used first line treatments for ovarian cancer) combined with other small molecule therapeutic agents. In vitro and in vivo drug potency are discussed with a focus on quantifiable synergistic effects. The effect of drug sequence and dosing schedule is examined. Computational approaches as a tool to predict synergistic drug combinations and dosing schedules as a tool for future nanoparticle design are also briefly discussed.

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“…The mid-grafted copolymer a 18 (ab 8 ) 11 a 18 exhibits the highest compatibilization efficiency, while the efficiency of double-end-grafted copolymers is most robust against variation of the side chain spacing. It is worth noting that specific graft copolymers have emerged as promising compatibilizer candidates to enhance the performances of biodegradable polymer blends, which satisfy the demands of environmental safety and sustainability, 45,46 and to produce mechanically and thermally stable polymer solar cells. 47,48 Considering the large space of architectural parameters of graft copolymers, generating a phenomenological model by an empirical fitting approach, as we did in our previous research on linear block copolymers, 20 would be slow and laborious.…”

Section: ■ Conclusionmentioning

confidence: 99%

Compatibilization Efficiency of Graft Copolymers in Incompatible Polymer Blends: Dissipative Particle Dynamics Simulations Combined with Machine Learning

Zhou

Qiu

et al. 2022

Macromolecules

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Graft copolymers are widely used as compatibilizers in homopolymer blends. Computational modeling techniques for predicting the compatibilization efficiency of such polymeric materials have substantially accelerated their development. We employ an efficient particle-based simulation method, namely dissipative particle dynamics (DPD), to systematically investigate the compatibilization efficiency of graft copolymers for a wide range of design parameters such as polymer chemistry, backbone and side chain lengths, and the number of side chains. We find that regular graft copolymers (with regular side chain distribution) exhibit different compatibilization efficiencies at the same areal concentrations. This indicates that the molecular architecture plays a critical role in their compatibilization efficiency. To understand these observations, detailed analysis has been performed. Specifically, the relative shape anisometry of the graft copolymers, which is defined as the ratio of their gyration tensor elements in directions normal and parallel to the surface, is found to be strongly correlated to their compatibilization efficiency. Furthermore, we have investigated three specific graft copolymer types, namely, double-end-grafted (side chains concentrated near both chain ends of the backbone), mid-grafted (side chains concentrated on the center of the backbone), and single-end-grafted (side chains only concentrated near one end of the backbone), to understand the influence of varying side chain distributions. Compared to all other series, the mid-grafted copolymers exhibit the best compatibilization efficiency. Combining the obtained DPD results with five models of machine learning (ML), including linear regression (LR), elastic net (EN), random forest (RF), extra tree (ET), and gradient boosting (GB), provides effective predictions for the compatibilization efficiency. The GB model, which yields the best accuracy, has been further used to acquire the feature importance rank (FIR). Starting from these ML models and the FIR analysis, we have developed a framework for fast predictions of the compatibilization efficiency of graft copolymers. This novel framework utilizes physical insights into effects of material properties, such as chemistries and molecular architectures, on the compatibilization efficiency of graft copolymers and paves the way for advanced design of polymer compatibilizers.

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Recent advances in applied polymer science

Cited by 18 publications

References 0 publications

An application‐oriented roadmap to select polymeric nanocomposites for advanced applications: A review

An application‐oriented roadmap to select polymeric nanocomposites for advanced applications: A review

Polymeric Nanoparticle Delivery of Combination Therapy with Synergistic Effects in Ovarian Cancer

Compatibilization Efficiency of Graft Copolymers in Incompatible Polymer Blends: Dissipative Particle Dynamics Simulations Combined with Machine Learning

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