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 |