Characterization and Separation of Traditional and Bio-Plastics by Hyperspectral Devices
Featured Application To tune up a robust methodology based on spectral data acquired in the NIR region to correctly separate PLA, PET and PS within recycling plants. Abstract Nowadays, bio-plastics can contaminate conventional plastics sent to recycling. Furthermore, the low volume of bio-plastics c...
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| creator | Moroni, Monica Mei, Alessandro |
| description | Featured Application
To tune up a robust methodology based on spectral data acquired in the NIR region to correctly separate PLA, PET and PS within recycling plants.
Abstract Nowadays, bio-plastics can contaminate conventional plastics sent to recycling. Furthermore, the low volume of bio-plastics currently in use has discourage the development of new technologies for their identification and separation. Technologies based on hyperspectral data detection may be profitably employed to separate the bio-plastics from traditional ones and to increase the quality of recycled products. In fact, sensing devices make it possible to accomplish the essential requirement of a mechanical recycling technology, i.e., end products which comply with specific standards determined by industrial applications. This paper presents the results of the hyperspectral analysis conducted on two different plastic polymers (PolyEthylene Terephthalate and PolyStyrene) and one bio-based and biodegradable plastic material (PolyLactic Acid) in different phases of their life cycle (primary raw materials and urban waste). The reflectance analysis is focused on the near-infrared region (900-1700 nm) and data are detected with a linear-spectrometer apparatus and a spectroradiometer. A rapid and reliable identification of three investigated polymers is achieved by using simple two near-infrared wavelength operators employing key wavelengths. |
| doi_str_mv | 10.3390/app10082800 |
| format | Article |
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To tune up a robust methodology based on spectral data acquired in the NIR region to correctly separate PLA, PET and PS within recycling plants.
Abstract Nowadays, bio-plastics can contaminate conventional plastics sent to recycling. Furthermore, the low volume of bio-plastics currently in use has discourage the development of new technologies for their identification and separation. Technologies based on hyperspectral data detection may be profitably employed to separate the bio-plastics from traditional ones and to increase the quality of recycled products. In fact, sensing devices make it possible to accomplish the essential requirement of a mechanical recycling technology, i.e., end products which comply with specific standards determined by industrial applications. This paper presents the results of the hyperspectral analysis conducted on two different plastic polymers (PolyEthylene Terephthalate and PolyStyrene) and one bio-based and biodegradable plastic material (PolyLactic Acid) in different phases of their life cycle (primary raw materials and urban waste). The reflectance analysis is focused on the near-infrared region (900-1700 nm) and data are detected with a linear-spectrometer apparatus and a spectroradiometer. A rapid and reliable identification of three investigated polymers is achieved by using simple two near-infrared wavelength operators employing key wavelengths.</description><identifier>ISSN: 2076-3417</identifier><identifier>EISSN: 2076-3417</identifier><identifier>DOI: 10.3390/app10082800</identifier><language>eng</language><publisher>BASEL: Mdpi</publisher><subject>Biodegradability ; Biodegradation ; Bioplastics ; Chemistry ; Chemistry, Multidisciplinary ; Discriminant analysis ; Engineering ; Engineering, Multidisciplinary ; I.R. radiation ; imaging ; Industrial applications ; Infrared analysis ; Investigations ; Materials Science ; Materials Science, Multidisciplinary ; Methods ; Morphology ; Municipal waste management ; New technology ; PET ; Physical Sciences ; Physics ; Physics, Applied ; PLA ; Plastics ; Polyethylene ; Polyethylene terephthalate ; Polylactic acid ; Polymers ; Polystyrene resins ; Polyvinyl chloride ; Principal components analysis ; Raw materials ; Recycling ; Science & Technology ; Sensors ; Separation ; Signatures ; Spectroradiometers ; Technology ; Wavelengths</subject><ispartof>Applied sciences, 2020-04, Vol.10 (8), p.2800, Article 2800</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>14</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000533352100164</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c364t-69e89507797352c1fae4a621d9f53d4bfe968f1e00c08dcba5f5c1c57a9683823</citedby><cites>FETCH-LOGICAL-c364t-69e89507797352c1fae4a621d9f53d4bfe968f1e00c08dcba5f5c1c57a9683823</cites><orcidid>0000-0001-6982-4989 ; 0000-0002-5665-5917</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,865,2103,2115,27929,27930,28253</link.rule.ids></links><search><creatorcontrib>Moroni, Monica</creatorcontrib><creatorcontrib>Mei, Alessandro</creatorcontrib><title>Characterization and Separation of Traditional and Bio-Plastics by Hyperspectral Devices</title><title>Applied sciences</title><addtitle>APPL SCI-BASEL</addtitle><description>Featured Application
To tune up a robust methodology based on spectral data acquired in the NIR region to correctly separate PLA, PET and PS within recycling plants.
Abstract Nowadays, bio-plastics can contaminate conventional plastics sent to recycling. Furthermore, the low volume of bio-plastics currently in use has discourage the development of new technologies for their identification and separation. Technologies based on hyperspectral data detection may be profitably employed to separate the bio-plastics from traditional ones and to increase the quality of recycled products. In fact, sensing devices make it possible to accomplish the essential requirement of a mechanical recycling technology, i.e., end products which comply with specific standards determined by industrial applications. This paper presents the results of the hyperspectral analysis conducted on two different plastic polymers (PolyEthylene Terephthalate and PolyStyrene) and one bio-based and biodegradable plastic material (PolyLactic Acid) in different phases of their life cycle (primary raw materials and urban waste). The reflectance analysis is focused on the near-infrared region (900-1700 nm) and data are detected with a linear-spectrometer apparatus and a spectroradiometer. A rapid and reliable identification of three investigated polymers is achieved by using simple two near-infrared wavelength operators employing key wavelengths.</description><subject>Biodegradability</subject><subject>Biodegradation</subject><subject>Bioplastics</subject><subject>Chemistry</subject><subject>Chemistry, Multidisciplinary</subject><subject>Discriminant analysis</subject><subject>Engineering</subject><subject>Engineering, Multidisciplinary</subject><subject>I.R. radiation</subject><subject>imaging</subject><subject>Industrial applications</subject><subject>Infrared analysis</subject><subject>Investigations</subject><subject>Materials Science</subject><subject>Materials Science, Multidisciplinary</subject><subject>Methods</subject><subject>Morphology</subject><subject>Municipal waste management</subject><subject>New technology</subject><subject>PET</subject><subject>Physical Sciences</subject><subject>Physics</subject><subject>Physics, Applied</subject><subject>PLA</subject><subject>Plastics</subject><subject>Polyethylene</subject><subject>Polyethylene terephthalate</subject><subject>Polylactic acid</subject><subject>Polymers</subject><subject>Polystyrene resins</subject><subject>Polyvinyl chloride</subject><subject>Principal components analysis</subject><subject>Raw materials</subject><subject>Recycling</subject><subject>Science & Technology</subject><subject>Sensors</subject><subject>Separation</subject><subject>Signatures</subject><subject>Spectroradiometers</subject><subject>Technology</subject><subject>Wavelengths</subject><issn>2076-3417</issn><issn>2076-3417</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNqNkUtLAzEUhQdRsNSu_AMDLmU0j3kkSx2fICio4C7cSW40pTZjMlXqrze2ol2aTXJPvpzk5mTZPiVHnEtyDH1PCRFMELKVjRhp6oKXtNneWO9mkxinJA1JuaBklD21LxBADxjcJwzOz3OYm_we-6SuSm_zhwDGfRcwW-2eOl_czSAOTse8W-ZXyx5D7FEPIRFn-O40xr1sx8Is4uRnHmePF-cP7VVxc3t53Z7cFJrX5VDUEoWsSNPIhldMUwtYQs2okbbipuwsylpYioRoIozuoLKVprpqIOlcMD7Orte-xsNU9cG9QlgqD06tBB-eFYT00hkqw7A2SKW1Qpd1lz6gkxYbwlAjMjDJ62Dt1Qf_tsA4qKlfhNR2VIxLzkpeVjxRh2tKBx9jQPt7KyXqOwm1kcQf_YGdt1E7nGv8PZGSSI6p88TTuky0-D_dumGVUesX84F_AYeVnGE</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>Moroni, Monica</creator><creator>Mei, Alessandro</creator><general>Mdpi</general><general>MDPI AG</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6982-4989</orcidid><orcidid>https://orcid.org/0000-0002-5665-5917</orcidid></search><sort><creationdate>20200401</creationdate><title>Characterization and Separation of Traditional and Bio-Plastics by Hyperspectral Devices</title><author>Moroni, Monica ; Mei, Alessandro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-69e89507797352c1fae4a621d9f53d4bfe968f1e00c08dcba5f5c1c57a9683823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biodegradability</topic><topic>Biodegradation</topic><topic>Bioplastics</topic><topic>Chemistry</topic><topic>Chemistry, Multidisciplinary</topic><topic>Discriminant analysis</topic><topic>Engineering</topic><topic>Engineering, Multidisciplinary</topic><topic>I.R. radiation</topic><topic>imaging</topic><topic>Industrial applications</topic><topic>Infrared analysis</topic><topic>Investigations</topic><topic>Materials Science</topic><topic>Materials Science, Multidisciplinary</topic><topic>Methods</topic><topic>Morphology</topic><topic>Municipal waste management</topic><topic>New technology</topic><topic>PET</topic><topic>Physical Sciences</topic><topic>Physics</topic><topic>Physics, Applied</topic><topic>PLA</topic><topic>Plastics</topic><topic>Polyethylene</topic><topic>Polyethylene terephthalate</topic><topic>Polylactic acid</topic><topic>Polymers</topic><topic>Polystyrene resins</topic><topic>Polyvinyl chloride</topic><topic>Principal components analysis</topic><topic>Raw materials</topic><topic>Recycling</topic><topic>Science & Technology</topic><topic>Sensors</topic><topic>Separation</topic><topic>Signatures</topic><topic>Spectroradiometers</topic><topic>Technology</topic><topic>Wavelengths</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moroni, Monica</creatorcontrib><creatorcontrib>Mei, Alessandro</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Applied sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moroni, Monica</au><au>Mei, Alessandro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization and Separation of Traditional and Bio-Plastics by Hyperspectral Devices</atitle><jtitle>Applied sciences</jtitle><stitle>APPL SCI-BASEL</stitle><date>2020-04-01</date><risdate>2020</risdate><volume>10</volume><issue>8</issue><spage>2800</spage><pages>2800-</pages><artnum>2800</artnum><issn>2076-3417</issn><eissn>2076-3417</eissn><abstract>Featured Application
To tune up a robust methodology based on spectral data acquired in the NIR region to correctly separate PLA, PET and PS within recycling plants.
Abstract Nowadays, bio-plastics can contaminate conventional plastics sent to recycling. Furthermore, the low volume of bio-plastics currently in use has discourage the development of new technologies for their identification and separation. Technologies based on hyperspectral data detection may be profitably employed to separate the bio-plastics from traditional ones and to increase the quality of recycled products. In fact, sensing devices make it possible to accomplish the essential requirement of a mechanical recycling technology, i.e., end products which comply with specific standards determined by industrial applications. This paper presents the results of the hyperspectral analysis conducted on two different plastic polymers (PolyEthylene Terephthalate and PolyStyrene) and one bio-based and biodegradable plastic material (PolyLactic Acid) in different phases of their life cycle (primary raw materials and urban waste). The reflectance analysis is focused on the near-infrared region (900-1700 nm) and data are detected with a linear-spectrometer apparatus and a spectroradiometer. A rapid and reliable identification of three investigated polymers is achieved by using simple two near-infrared wavelength operators employing key wavelengths.</abstract><cop>BASEL</cop><pub>Mdpi</pub><doi>10.3390/app10082800</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0001-6982-4989</orcidid><orcidid>https://orcid.org/0000-0002-5665-5917</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Biodegradability Biodegradation Bioplastics Chemistry Chemistry, Multidisciplinary Discriminant analysis Engineering Engineering, Multidisciplinary I.R. radiation imaging Industrial applications Infrared analysis Investigations Materials Science Materials Science, Multidisciplinary Methods Morphology Municipal waste management New technology PET Physical Sciences Physics Physics, Applied PLA Plastics Polyethylene Polyethylene terephthalate Polylactic acid Polymers Polystyrene resins Polyvinyl chloride Principal components analysis Raw materials Recycling Science & Technology Sensors Separation Signatures Spectroradiometers Technology Wavelengths |
| title | Characterization and Separation of Traditional and Bio-Plastics by Hyperspectral Devices |
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