| Title: | Review of bioplastics characterisation by terahertz techniques in the view of ensuring a circular economy |
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| Authors: | ID Abina, Andreja (Author)
ID Korošec, Tjaša (Author)
ID Puc, Uroš (Author)
ID Zidanšek, Aleksander (Author) |
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| Files: |  Abina-2023-Review_of_Bioplastics_Characterisat.pdf (5,14 MB)
MD5: 07F2D44FA32F62266405E8770BDA185F
 https://doi.org/10.3390/photonics10080883
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.02 - Review Article |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
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| Abstract: | The increasing scarcity of natural resources, worsening global climate change, environmental degradation, and rising demand for food are forcing the biotechnology and plastics industries to seek and apply circular economy models that would lead to a sustainable transition in the production and use of bioplastics. Circular economy models can improve the economic productivity of bio-based plastics and have a positive impact on the environment by reducing conventional plastic waste and the consumption of petrochemical feedstocks for plastic production. In addition, some agricultural wastes that have the potential to be used as bioplastics can be reused. Terahertz (THz) systems are already used in the plastics and rubber industries for non-destructive testing, detection, imaging, and quality control. Several reports have highlighted the potential applications of THz spectroscopy and imaging in polymer analysis and plastics characterisation. This potential is even greater with chemometric methods and artificial intelligence algorithms. In this review, we focus on applications that support the transformation of the biotechnology sector to the circular economy, particularly via the transition from conventional plastics to bioplastics. In this review, we discuss the potential of THz systems for the characterisation and analysis of bioplastics and biopolymers. The results of previous studies on biopolymers in the THz frequency range are summarised. Furthermore, the potential of using artificial intelligence approaches such as machine learning as advanced analytical methods in THz spectroscopy and imaging, in addition to the conventionally used chemometric methods, is discussed. The results of this review highlight that THz technology can contribute to closed technological circles in important areas of biotechnology and the related plastics and rubber industries. |
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| Keywords: | terahertz spectroscopy, terahertz imaging, circular economy, biopolymer, biotechnology, bioplastics |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 31.05.2023 |
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| Article acceptance date: | 27.07.2023 |
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| Publication date: | 29.07.2023 |
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| Publisher: | MDPI |
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| Year of publishing: | 2023 |
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| Number of pages: | Str. 1-32 |
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| Numbering: | Letn. 10, Št. 8, št. članka 883 |
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| PID: | 20.500.12556/DKUM-88332  |
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| UDC: | 543.2/.9 |
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| ISSN on article: | 2304-6732 |
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| COBISS.SI-ID: | 160775939 |
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| DOI: | 10.3390/photonics10080883 |
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| Publication date in DKUM: | 16.04.2024 |
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| Views: | 354 |
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| Downloads: | 187 |
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| Metadata: |    |
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| Categories: | Misc.
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