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Applied Sciences
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Studies on Mechanical Characterization of Biopolymers
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Studies on Mechanical Characterization of Biopolymers

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 4994

Special Issue Editors

Dr. Azlin Fazlina Osman

E-Mail Website
Guest Editor
Faculty of Chemical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), Arau 02600, Malaysia
Interests: material characterization; polymers; materials; nanomaterials; biomaterials; mechanical properties; materials processing; materials testing; material characteristics; metals
Dr. Zuratul Ain Abdul Hamid

E-Mail Website
Guest Editor
School of Materials & Mineral Resources Engineering, Engineering Campus, Universiti Sains Malaysia, Gelugor 11800, Penang, Malaysia
Interests: chemical & biomolecular engineering; polymer engineering: bioplastics

Special Issue Information

Dear Colleagues,

Biopolymer is a polymer that can be obtained naturally or formed by living organisms or plants. Biopolymer also refers to a polymer that can be biodegraded by microorganisms or under normal environmental conditions. Thus, this material can be either bio-based plastic, biodegradable plastic, or both. Biopolymer has emerged as an alternative resource to overcome the downside of conventional synthetic polymers/plastics. Mechanical properties are aspects that need to be emphasized in the production of quality bioplastic-based products. However, when compared with synthetic polymers, bioplastics usually have lower tensile strength and barrier properties. Their high-water vapor permeability, oxygen permeability, fragility, low thermal resistance, vulnerability to degradation, and low processability have also limited their use in some applications such as packaging and coating.

The aim of this Special Issue is to overview and discuss current progress in the field of bioplastics and bioplastic composites, including several technologies and strategies to improve the mechanical and physical properties of the bioplastics. Topics of interest include all aspects of the manufacturing, analysis, characterization, and application of such bioplastics, as well as theoretical studies in the field.

Dr. Azlin Fazlina Osman
Dr. Zuratul Ain Abdul Hamid
Guest Editors

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Keywords

  • bio-based polymers
  • biodegradable polymers
  • biocomposite
  • biocomposite membranes
  • bioplastic/synthetic plastic blend
  • bionanocomposite
  • biopolymer–inorganic composites
  • design and manufacturing
  • mechanical properties
  • physico-chemical characterization
  • biological properties

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Published Papers (1 paper)

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Research

18 pages, 1341 KiB  
Article
Predicting the Composition and Mechanical Properties of Seaweed Bioplastics from the Scientific Literature: A Machine Learning Approach for Modeling Sparse Data
by Davor Ibarra-Pérez, Simón Faba, Valentina Hernández-Muñoz, Charlene Smith, María José Galotto and Alysia Garmulewicz
Appl. Sci. 2023, 13(21), 11841; https://doi.org/10.3390/app132111841 - 30 Oct 2023
Cited by 4 | Viewed by 4301
Abstract
The design of biodegradable polymeric materials is of increasing scientific interest due to accelerating levels of plastics pollution. One area of increasing interest is the design of biodegradable polymer films based on seaweed as a raw material. The goal of the study is [...] Read more.
The design of biodegradable polymeric materials is of increasing scientific interest due to accelerating levels of plastics pollution. One area of increasing interest is the design of biodegradable polymer films based on seaweed as a raw material. The goal of the study is to explore whether machine learning techniques can be used to predict the properties of unknown compositions based on existing data from the literature. Clustering algorithms are used, which show how some ingredients components at certain concentration levels alter the mechanical properties of the films. Robust regression algorithms with three popular models, namely decision tree, random forest, and gradient boosting. Their predictive capabilities are compared, resulting in the random forest algorithm being the most stable with the greatest predictive capacity. These analyses offer a decision support system for biomaterials manufacturing and experimentation. The results and conclusions of the study indicate that bioplastics made from seaweed have promising potential as a sustainable alternative to traditional plastics, discovering interesting additives to improve the performance of biopolymers. In addition, the machine learning approaches used provide effective tools for analyzing and predicting the properties of these materials in structured but highly sparse data. Full article
(This article belongs to the Special Issue Studies on Mechanical Characterization of Biopolymers)
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