Academic Journal

Quantification of Recycled PET in Commercial Bottles by IR Spectroscopy and Chemometrics

التفاصيل البيبلوغرافية
العنوان: Quantification of Recycled PET in Commercial Bottles by IR Spectroscopy and Chemometrics
المؤلفون: Alessandro Zappi, Alessandra Biancolillo, Nicholas Kassouf, Valentina Marassi, Pietro Morozzi, Laura Tositti, Dora Melucci
المصدر: Analytica, Vol 5, Iss 2, Pp 219-232 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Analytical chemistry
مصطلحات موضوعية: IR spectroscopy, recycled plastic, chemometric analysis, untargeted analysis, SO-PLS, Analytical chemistry, QD71-142
الوصف: A novel approach for the quantification of recycled polyethylene terephthalate (r-PET) in commercial bottles is presented. Fifty-eight bottle samples from several brands and producers containing different percentages of r-PET were purchased from the market. Samples were analyzed by two spectroscopic methods: near-infrared (NIR) spectroscopy and attenuated total reflection (ATR) spectroscopy in the mid-infrared (MIR) region. No chemical pre-treatment was applied before analyses. The spectra were analyzed by partial-least squares (PLS) regression, and two models for NIR and MIR data were computed. Then, a multi-block regression was applied to join the two datasets. All models were validated by cross-validation and by excluding and projecting onto the model the replicated spectra of one sample at a time. Results demonstrated the potential of this approach, especially considering the variability of commercial samples in terms of additives, shape, or thickness of the bottles: for samples close to the centroids of the models (i.e., from 10 to 50% r-PET), the predictions of multi-block method seldom departed from the expected values of ±10%. Only for samples with 0% declared r-PET, the models showed poor prediction abilities.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2673-4532
Relation: https://www.mdpi.com/2673-4532/5/2/14; https://doaj.org/toc/2673-4532
DOI: 10.3390/analytica5020014
URL الوصول: https://doaj.org/article/7c0a2484d71540f3926f50997022d801
رقم الانضمام: edsdoj.7c0a2484d71540f3926f50997022d801
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26734532
DOI:10.3390/analytica5020014