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Nanomaterials
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Functional Nanomaterials and Polymer Big Data
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Functional Nanomaterials and Polymer Big Data

A special issue of Nanomaterials (ISSN 2079-4991).

Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 2881

Special Issue Editors

Prof. Dr. Lan Xie

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Guest Editor
Department of Polymer Materials and Engineering, College of Materials and Metallurgy, Guizhou University, Guiyang 550025, China
Interests: nanomaterials; functional materials; high performance; polymer big data; computational materials
Dr. Bai Xue

E-Mail Website
Guest Editor
Department of Polymer Materials and Engineering, College of Materials and Metallurgy, Guizhou University, Guiyang 550025, China
Interests: functional polymer nanomaterials
Dr. Xiang Lu

E-Mail Website
Guest Editor
Hubei Engineering Research Center for Biomaterials and Medical Protective Materials, Huazhong University of Science & Technology, Wuhan 430074, China
Interests: functional polymer nanomaterials

Special Issue Information

Dear Colleagues,

We are pleased to invite authors to contribute original research and review articles covering the current progress on functional materials and polymer big data. Functional materials are materials that have special properties in electricity, magnetism, sound, light, heat and other aspects, or ones that show special functions under their action. Polymer big data make use of artificial intelligence (deep learning material big data analysis) through data analyses to predict material properties, establish rapid development and the reliable application of high-performance materials.

This Special Issue aims to present comprehensive research outlining progress on the application of nanostructures to improve the performance of functional materials and polymer big data. This includes electromagnetic shielding materials, conductive and heat-conducting materials, oil­-water separation materials, luminescent materials, polymer big data, etc.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: nanomaterials, functional materials, polymer big data and computational materials.

We look forward to receiving your contributions.

Prof. Dr. Lan Xie
Dr. Bai Xue
Dr. Xiang Lu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Nanomaterials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • nanomaterials
  • functional materials
  • high performance
  • polymer big data
  • computational materials

Published Papers (3 papers)

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Research

14 pages, 3949 KiB  
Article
Integrating Fly Ash-Controlled Surface Morphology and Candle Grease Coating: Access to Highly Hydrophobic Poly (L-lactic Acid) Composite for Anti-Icing Application
by Zhiqiang Jiang, Bai Xue, Xiaoping Mai, Changmei Wu, Lingjun Zeng, Lan Xie and Qiang Zheng
Nanomaterials 2023, 13(7), 1230; https://doi.org/10.3390/nano13071230 - 30 Mar 2023
Cited by 1 | Viewed by 1080
Abstract
New ways of recycling fly ash are of great significance for reducing the environmental pollution. In this work, biodegradable hydrophobic poly (L-lactic acid)/fly ash composites for anti-icing application were successfully fabricated via a facile solvent-volatilization-induced phase separation approach. A silane coupling agent of [...] Read more.
New ways of recycling fly ash are of great significance for reducing the environmental pollution. In this work, biodegradable hydrophobic poly (L-lactic acid)/fly ash composites for anti-icing application were successfully fabricated via a facile solvent-volatilization-induced phase separation approach. A silane coupling agent of 3-(Trimethoxysilyl) propyl methacrylate was used to decorate a fly ash surface (FA@KH570) for strengthening the interface bonding between fly ash and poly (L-lactic acid). Moreover, FA@KH570 could obviously enhance the crystallinity of poly (L-lactic acid) (PLLA)/FA@KH570 composites, which accelerated the conversion from the liquid-liquid to the liquid-solid phase separation principle. Correspondingly, the controllable surface morphology from smooth to petal-like microspheres was attained simply by adjusting the FA@KH570 content. After coating nontoxic candle grease, the apparent contact angle of 5 wt% PLLA/FA@KH570 composite was significantly increased to an astonishing 151.2°, which endowed the composite with excellent anti-icing property. This strategy paves the way for recycling waste fly ash and manufacturing hydrophobic poly (L-lactic acid) composite for potential application as an anti-icing material for refrigerator interior walls. Full article
(This article belongs to the Special Issue Functional Nanomaterials and Polymer Big Data)
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16 pages, 6304 KiB  
Article
Biocompatible, Resilient, and Tough Nanocellulose Tunable Hydrogels
by Amir Rudich, Sunaina Sapru and Oded Shoseyov
Nanomaterials 2023, 13(5), 853; https://doi.org/10.3390/nano13050853 - 24 Feb 2023
Cited by 4 | Viewed by 1648
Abstract
Hydrogels have been proposed as potential candidates for many different applications. However, many hydrogels exhibit poor mechanical properties, which limit their applications. Recently, various cellulose-derived nanomaterials have emerged as attractive candidates for nanocomposite-reinforcing agents due to their biocompatibility, abundance, and ease of chemical [...] Read more.
Hydrogels have been proposed as potential candidates for many different applications. However, many hydrogels exhibit poor mechanical properties, which limit their applications. Recently, various cellulose-derived nanomaterials have emerged as attractive candidates for nanocomposite-reinforcing agents due to their biocompatibility, abundance, and ease of chemical modification. Due to abundant hydroxyl groups throughout the cellulose chain, the grafting of acryl monomers onto the cellulose backbone by employing oxidizers such as cerium(IV) ammonium nitrate ([NH4]2[Ce(NO3)6], CAN) has proven a versatile and effective method. Moreover, acrylic monomers such as acrylamide (AM) may also polymerize by radical methods. In this work, cerium-initiated graft polymerization was applied to cellulose-derived nanomaterials, namely cellulose nanocrystals (CNC) and cellulose nanofibrils (CNF), in a polyacrylamide (PAAM) matrix to fabricate hydrogels that display high resilience (~92%), high tensile strength (~0.5 MPa), and toughness (~1.9 MJ/m3). We propose that by introducing mixtures of differing ratios of CNC and CNF, the composite’s physical behavior can be fine-tuned across a wide range of mechanical and rheological properties. Moreover, the samples proved to be biocompatible when seeded with green fluorescent protein (GFP)-transfected mouse fibroblasts (3T3s), showing a significant increase in cell viability and proliferation compared to samples comprised of acrylamide alone. Full article
(This article belongs to the Special Issue Functional Nanomaterials and Polymer Big Data)
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21 pages, 2881 KiB  
Article
Topical Application of Linezolid–Loaded Chitosan Nanoparticles for the Treatment of Eye Infections
by Musaed Alkholief, Mohd Abul Kalam, Abdullah K. Alshememry, Raisuddin Ali, Sulaiman S. Alhudaithi, Nasser B. Alsaleh, Mohammad Raish and Aws Alshamsan
Nanomaterials 2023, 13(4), 681; https://doi.org/10.3390/nano13040681 - 9 Feb 2023
Cited by 6 | Viewed by 1667
Abstract
Linezolid (LZ) loaded chitosan–nanoparticles (CSNPs) was developed by the ionic–gelation method using Tripolyphosphate–sodium as a crosslinker for topical application for the treatment of bacterial eye infections. Particles were characterized by Zeta–Sizer (Malvern Nano–series). TEM was used for structural morphology. Encapsulation and drug loading [...] Read more.
Linezolid (LZ) loaded chitosan–nanoparticles (CSNPs) was developed by the ionic–gelation method using Tripolyphosphate–sodium as a crosslinker for topical application for the treatment of bacterial eye infections. Particles were characterized by Zeta–Sizer (Malvern Nano–series). TEM was used for structural morphology. Encapsulation and drug loading were estimated by measuring the unencapsulated drug. In-vitro drug release in STF (pH 7) was performed through a dialysis membrane. Storage stability of LZ–CSNPs was checked at 25 °C and 40 °C for six months. The antimicrobial potency of NPs was evaluated on different Gram–positive strains. Ocular irritation and pharmacokinetic studies were completed in rabbits. Ex-vivo transcorneal permeation of the drug was determined through the rabbit cornea. Ionic interaction among the oppositely charged functional groups of CS and TPP generated the CSNPs. The weight ratio at 3:1, wt/wt (CS/TPP) with 21.7 mg of LZ produced optimal NPs (213.7 nm with 0.387 of PDI and +23.1 mV of ZP) with 71% and 11.2% encapsulation and drug loading, respectively. Around 76.7% of LZ was released from LZ–AqS within 1 h, while 79.8% of LZ was released from CSNPs at 12 h and 90% at 24 h. The sustained drug release property of CSNPS was evaluated by applying kinetic models. The linearity in the release profile suggested that the release of LZ from CSNPs followed the Higuchi–Matrix model. LZ–CSNPs have shown 1.4 to 1.6-times improved antibacterial activity against the used bacterial strains. The LZ–CSNPs were “minimally–irritating” to rabbit eyes and exhibited 4.4-times increased transcorneal permeation of LZ than from LZ–AqS. Around 3-, 1.2- and 3.1-times improved Tmax, Cmax, and AUC0–24 h, respectively were found for LZ–CSNPs during the ocular pharmacokinetic study. AqS has shown 3.1-times faster clearance of LZ. Conclusively, LZ–CSNPs could offer a better alternative for the prolonged delivery of LZ for the treatment of bacterial infections in the eyes. Full article
(This article belongs to the Special Issue Functional Nanomaterials and Polymer Big Data)
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