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Rapid and accurate quality assessment method of recycled food plastics VOCs by electronic nose based on Al-doped zinc oxide

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dc.contributor.author Zaytsev, Valeriy
dc.contributor.author Fedorov, Fedor S.
dc.contributor.author Goikhman, Boris
dc.contributor.author Maslennikov, Alexander
dc.contributor.author Mashukov, Vasilii
dc.contributor.author Simonenko, Nikolay P.
dc.contributor.author Simonenko, Tatiana L.
dc.contributor.author Gabdullina, Dinara
dc.contributor.author Kovalenko, Olga
dc.contributor.author Simonenko, Elizaveta P.
dc.contributor.author Kvitko, Polina
dc.contributor.author Penkova, Olga
dc.contributor.author Satybaldina, Dina
dc.contributor.author Seilov, Shakhmaran
dc.contributor.author Dubinina, Tatiana S.
dc.contributor.author Gorin, Dmitry A.
dc.contributor.author Nasibulin, Albert G.
dc.date.accessioned 2024-10-09T04:55:25Z
dc.date.available 2024-10-09T04:55:25Z
dc.date.issued 2023
dc.identifier.issn 09596526
dc.identifier.other DOI 10.1016/j.jclepro.2023.138042
dc.identifier.uri http://rep.enu.kz/handle/enu/17493
dc.description.abstract Plastic recycling technologies are being actively developed and implemented to cope with increasing volume of plastic. Such technologies require new analytical tools able to control the quality of the recycled polymers to be further integrated in production processes. Here, we propose a rapid and selective quality assessment method for polymer materials made of high-density polyethylene using electronic nose with aluminum doped zinc oxide sensing material in combination with the RandomForestClassifier machine learning tool. We test total content of volatile organic compounds both odor-active responsible for the smell and odorless of primary and secondary plastics, and evaluate corresponding organic vapors emitted by the plastics by headspace gas chromatography and mass-spectrometry at optimized conditions like sample temperature, sensor signal recovery time. The electronic nose demonstrated the good correlation of vector signal with the emitted volatile compounds with an accuracy more than 98.5% when discriminating between primary and secondary plastics. Addition of zeolites to the recycled plastic is shown to decrease the appearance of off-odors. ru
dc.language.iso en ru
dc.publisher Journal of Cleaner Production ru
dc.relation.ispartofseries Том 41815;Номер статьи 138042
dc.subject Plastics ru
dc.subject Polymer odors assessment ru
dc.subject Al-doped zinc oxide ru
dc.subject Electronic nose ru
dc.subject Machine learning protocols ru
dc.title Rapid and accurate quality assessment method of recycled food plastics VOCs by electronic nose based on Al-doped zinc oxide ru
dc.type Article ru


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