Plastics Recycling: A Comparative Study of Different Analytical Techniques.
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| Title: | Plastics Recycling: A Comparative Study of Different Analytical Techniques. |
|---|---|
| Authors: | Amin, Md. Lutful1 (AUTHOR), Dinh, Le N. M.1 (AUTHOR), Rawal, Aditya2 (AUTHOR), Zetterlund, Per B.1 (AUTHOR) p.zetterlund@unsw.edu.au, Agarwal, Vipul1 (AUTHOR) agarwalvipul84@gmail.com |
| Source: | Macromolecular Materials & Engineering. Jan2026, Vol. 311 Issue 1, p1-10. 10p. |
| Subjects: | Plastic recycling, Polyolefins, Plastic scrap, Nuclear magnetic resonance, Quantitative research, Ecological impact, Separation (Technology) |
| Abstract: | Plastic waste has become a critical challenge threatening our environment and survival. There has been a growing demand for recycling methods to process waste into clean virgin‐like material. However, one of the key challenges limiting recyclability is the difficulty in accurately identifying different types of plastics in post‐consumer kerbside waste. Commercial sorting of collected waste relies primarily on near infrared technology, which is associated with significant limitations. Herein, we compared a range of analytical techniques to identify different post‐consumer plastic waste samples. With the finding that 13C solid state NMR can precisely identify different polyolefins, we explored the possibility of employing 13C solid state NMR for quantification of plastics from mixed waste samples, which can be quite difficult to quantitate using other standard techniques. Our results demonstrate that 13C solid‐state NMR is highly efficient in the quantification of polyolefins from different controlled mixtures. For identification, DSC and NMR are methods of choice with the most clear differences between different polymers, with the exception of different polyethylene subtypes being more suitable for NMR analysis. [ABSTRACT FROM AUTHOR] |
| Copyright of Macromolecular Materials & Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 191212485 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Plastics Recycling: A Comparative Study of Different Analytical Techniques. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Amin%2C+Md%2E+Lutful%22">Amin, Md. Lutful</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dinh%2C+Le+N%2E+M%2E%22">Dinh, Le N. M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rawal%2C+Aditya%22">Rawal, Aditya</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zetterlund%2C+Per+B%2E%22">Zetterlund, Per B.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> p.zetterlund@unsw.edu.au</i><br /><searchLink fieldCode="AR" term="%22Agarwal%2C+Vipul%22">Agarwal, Vipul</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> agarwalvipul84@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Macromolecular+Materials+%26+Engineering%22">Macromolecular Materials & Engineering</searchLink>. Jan2026, Vol. 311 Issue 1, p1-10. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Plastic+recycling%22">Plastic recycling</searchLink><br /><searchLink fieldCode="DE" term="%22Polyolefins%22">Polyolefins</searchLink><br /><searchLink fieldCode="DE" term="%22Plastic+scrap%22">Plastic scrap</searchLink><br /><searchLink fieldCode="DE" term="%22Nuclear+magnetic+resonance%22">Nuclear magnetic resonance</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Ecological+impact%22">Ecological impact</searchLink><br /><searchLink fieldCode="DE" term="%22Separation+%28Technology%29%22">Separation (Technology)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Plastic waste has become a critical challenge threatening our environment and survival. There has been a growing demand for recycling methods to process waste into clean virgin‐like material. However, one of the key challenges limiting recyclability is the difficulty in accurately identifying different types of plastics in post‐consumer kerbside waste. Commercial sorting of collected waste relies primarily on near infrared technology, which is associated with significant limitations. Herein, we compared a range of analytical techniques to identify different post‐consumer plastic waste samples. With the finding that 13C solid state NMR can precisely identify different polyolefins, we explored the possibility of employing 13C solid state NMR for quantification of plastics from mixed waste samples, which can be quite difficult to quantitate using other standard techniques. Our results demonstrate that 13C solid‐state NMR is highly efficient in the quantification of polyolefins from different controlled mixtures. For identification, DSC and NMR are methods of choice with the most clear differences between different polymers, with the exception of different polyethylene subtypes being more suitable for NMR analysis. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Macromolecular Materials & Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/mame.202500195 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Subjects: – SubjectFull: Plastic recycling Type: general – SubjectFull: Polyolefins Type: general – SubjectFull: Plastic scrap Type: general – SubjectFull: Nuclear magnetic resonance Type: general – SubjectFull: Quantitative research Type: general – SubjectFull: Ecological impact Type: general – SubjectFull: Separation (Technology) Type: general Titles: – TitleFull: Plastics Recycling: A Comparative Study of Different Analytical Techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Amin, Md. Lutful – PersonEntity: Name: NameFull: Dinh, Le N. M. – PersonEntity: Name: NameFull: Rawal, Aditya – PersonEntity: Name: NameFull: Zetterlund, Per B. – PersonEntity: Name: NameFull: Agarwal, Vipul IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 14387492 Numbering: – Type: volume Value: 311 – Type: issue Value: 1 Titles: – TitleFull: Macromolecular Materials & Engineering Type: main |
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