癸醛
八醛
化学计量学
壬醛
己醛
气相色谱-质谱法
偏最小二乘回归
庚烷
环境化学
色谱法
化学
质谱法
制浆造纸工业
材料科学
环境科学
计算机科学
有机化学
工程类
催化作用
醛
机器学习
作者
Rosa Peñalver,Cristina López Marín,Natalia Arroyo‐Manzanares,Natalia Campillo,Pilar Viñas
出处
期刊:Chemosphere
[Elsevier BV]
日期:2022-02-28
卷期号:297: 134156-134156
被引量:24
标识
DOI:10.1016/j.chemosphere.2022.134156
摘要
The environment is threatened by the continuously increasing volume of plastic residue. Plastic recycling is an interesting alternative to mitigate this problem. However, recycled plastic products may have pollutants from their recycling process, collecting system and/or previous life which may hurt consumers health, thus making it key to authenticate and characterize recycled materials. An innovative non-targeted methodology by means of static headspace gas chromatography-mass spectrometry (SHS-GC-MS) has been developed to measure the volatile organic profile of virgin polyethylene terephthalate (PET) and with diverse content of recycled PET samples. A home-made MS database, with 161 organic compounds characteristics from plastic materials based on the literature, was made. Seventeen of those compounds were found in the studied samples and identified by matching their MS spectra with MS database libraries. These compounds are mainly aldehydes (pentanal, hexanal, heptanal, octanal, nonanal and decanal), and benzene derivatives (styrene, p-xylene, benzaldehyde, methylbenzene, and 1,2-dichlorobenzene) which we found to be the common in the samples of recycled PET. The combination of the dataset consisting in the peak area of the detected species by SHS-GC-MS and the use of chemometrics shown to be a valuable methodology for the discrimination between virgin PET samples and those with different recycled PET content based on their volatile profile. In addition, a novel strategy applying a statistical model based on partial least squares (PLS) regression was proposed, for the first time, to quantify the recycled plastic content in the PET samples.
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