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Coatings
Special Issues
Recent Advances in Innovative Surface and Materials
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Recent Advances in Innovative Surface and Materials

A special issue of Coatings (ISSN 2079-6412). This special issue belongs to the section "Surface Coatings for Biomedicine and Bioengineering".

Deadline for manuscript submissions: closed (1 December 2022) | Viewed by 4857

Special Issue Editors

Dr. Ioana Cătălina Gîfu

E-Mail Website
Guest Editor
National Institute Research & Development in Chemistry & Petrochemistry; 202 Splaiul Independentei, 6th Dist, Bucharest, Romania
Interests: synthesis and characterization of hybrid nanocomposites; functional Polymer Coatings and Films; deposition and surface modification; surface characterization; corrosion analyses
Special Issues, Collections and Topics in MDPI journals
Dr. Ludmila Otilia Cinteza

E-Mail Website
Guest Editor
Physical Chemistry Department, University of Bucharest, 4-12 Bd. Regina Elisabeta, 030018 Bucharest, Romania
Interests: nanomaterials; nanostructured drug delivery systems; microemulsions; functional surfaces; nanocoatings; polymer–surfactant complexes; superhydrophobic materials; plasmonic nanoparticles
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We would like to invite you to submit your work to a Special Issue on “Recent Advances in Innovative Surface and Materials”. The main objective is to highlight the recent progress in innovative coatings with a great impact on different industries, such as automobile, medical, and biomedical, in protecting cultural heritage artifacts and so on. These coatings must possess special properties, such as crystallinity, hydrophobicity, homogeneity, adherence, hardness, toughness, corrosion resistance, biocompatibility, etc. In order to modify, improve, or even add new functionalities to the characteristics of a surface, a film of innovative material will be deposited on that surface. Coatings can be synthesized by a wide range of deposition techniques such as layer by layer, spinning, spraying, or chemical vapor deposition, depending on the purpose for which they are made.

This Special Issue aims to publish original articles, critical reviews, as well as perspectives, from leading research in both academia and industry on all aspects related to recent advances in design, processing, and development of coatings and materials for various applications. Contributions on new concepts, characterizations, simulation, and behavior in nominal conditions of materials are also welcome.

Dr. Ioana Cătălina Gîfu
Prof. Dr. Ludmila Otilia Cinteza
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. Coatings is an international peer-reviewed open access monthly 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 2600 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

  • surface engineering/modification
  • innovative materials
  • long term protective coatings
  • surface–interface interactions
  • superhydrophobic coatings
  • antibacterial properties
  • corrosion reductions
  • UV protection
  • active and passive corrosion protection
  • coatings for biomaterials applications

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

23 pages, 6896 KiB  
Article
Recognition of Corrosion State of Water Pipe Inner Wall Based on SMA-SVM under RF Feature Selection
by Qian Zhao, Lu Li, Lihua Zhang and Man Zhao
Coatings 2023, 13(1), 26; https://doi.org/10.3390/coatings13010026 - 23 Dec 2022
Cited by 7 | Viewed by 1886
Abstract
To solve the problem of low detection accuracy of water supply pipeline internal wall damage, a random forest algorithm with simplified features and a slime mold optimization support vector machine detection method was proposed. Firstly, the color statistical characteristics, gray level co-occurrence matrix, [...] Read more.
To solve the problem of low detection accuracy of water supply pipeline internal wall damage, a random forest algorithm with simplified features and a slime mold optimization support vector machine detection method was proposed. Firstly, the color statistical characteristics, gray level co-occurrence matrix, and gray level run length matrix features of the pipeline image are extracted for multi-feature fusion. The contribution of the fused features is analyzed using the feature simplified random forest algorithm, and the feature set with the strongest feature expression ability is selected for classification and recognition. The global search ability of the slime mold optimization algorithm is used to find the optimal kernel function parameters and penalty factors of the support vector machine model. Finally, the optimal parameters are applied to support the vector machine model for classification prediction. The experimental results show that the recognition accuracy of the classification model proposed in this paper reaches 94.710% on the data sets of different corrosion forms on the inner wall of the pipeline. Compared with the traditional Support Vector Machines (SVM) classification model, the SVM model based on differential pollination optimization, the SVM model based on particle swarm optimization, and the back propagation (BP) neural network classification model, it is improved by 4.786%, 3.023%, 4.030%, and 0.503% respectively. Full article
(This article belongs to the Special Issue Recent Advances in Innovative Surface and Materials)
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17 pages, 4384 KiB  
Article
The Immobilization of Laccase on Mixed Polymeric Microspheres for Methyl Red Decomposition
by Ludmila Aricov, Adina Raducan, Ioana Catalina Gifu, Elvira Alexandrescu, Aurica Precupas, Alexandru Vincentiu Florian Neculae, Raluca Marieta Visan, Alina Morosan and Anca Ruxandra Leonties
Coatings 2022, 12(12), 1965; https://doi.org/10.3390/coatings12121965 - 15 Dec 2022
Cited by 8 | Viewed by 2321
Abstract
Means of eliminating water pollutants or transforming them into less hazardous compounds by green catalysis are desired. The current work was developed with the goal of discovering supports suited for laccase (Lc) immobilization. The effect of the chitosan (CS) molecular weight (Mw) or [...] Read more.
Means of eliminating water pollutants or transforming them into less hazardous compounds by green catalysis are desired. The current work was developed with the goal of discovering supports suited for laccase (Lc) immobilization. The effect of the chitosan (CS) molecular weight (Mw) or the polyacrylic acid (PAA) addition was evaluated in microsphere formulation and enzyme immobilization by ESEM, rheology, operational stability, and kinetics. As a practical application, the synthesized products were tested in the methyl red (MR) decomposition and the product identification was performed by high-resolution mass spectrometry. Depending on the required properties, the laccase activity profile (pH, temperature, storage, and Michaelis–Menten parameters) and rheological strength can be modulated by varying the molecular mass of CS or by adding PAA in the support formulation. The immobilized products having the best features regarding MR degradation and recycling abilities were the medium Mw CS microspheres and the system with low Mw CS complexed by PAA, respectively. The degradation mechanism of the dye was proposed accordingly with the identified products by mass spectroscopy. The findings emphasize the potential of the proposed immobilization products to be exploited as viable biocatalysts for dye-contaminated water. Full article
(This article belongs to the Special Issue Recent Advances in Innovative Surface and Materials)
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