复杂塑料废弃物的热解油的成分量化,采用气相色谱法与质谱仪探测器相结合
A Serras-Malillos1, B B Perez-Martinez1, A Iriondo1
1Chemical and Environmental Engineering Department, Faculty of Engineering of Bilbao, University of the Basque Country (UPV/EHU) Plaza Ingeniero Torres Quevedo, 1 48013-Bilbao Spain esther.acha@ehu.eus.
RSC advances
|March 26, 2024
概括
本研究提出了一种新的气体染色体质谱法方法,用于量化塑料废物的复杂热解油. 这种具有成本效益的技术促进了废物流中的化学回收.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 分析化学 分析化学
- 材料科学 材料科学 材料科学
背景情况:
- 废物的热解产生复杂的液体分数 (热解油),需要详细的描述.
- 精确量化热解油成分对于回收有价值的二次原料和化学品至关重要.
- 目前分析复杂塑料热解油的方法往往是定性或缺乏全面的量化.
研究的目的:
- 开发和验证用于分析来自各种聚合物废物流的热解油的定量方法.
- 建立一个具有成本效益和可靠的方法来确定热解油的精确成分.
- 为研究人员提供重要的数据,包括Kováts保留指数,用于识别热解油中的化合物.
主要方法:
- 使用气体染色学与质谱学 (GC-MS) 相结合.
- 采用了一种经过认证的和基混合物,一个内部标准,以及十四种模型化合物用于校准和量化.
- 将该方法应用于塑料包装中的热解油,废弃电气和电子设备 (WEEE) 塑料和热复合材料.
主要成果:
- 开发了一种定量方法,平均相对误差范围为-59%至+62%,标准偏差为0至13%.
- 该方法允许确定GC-MS检测到的油的比例相对于总油的比例.
- 为已识别的化合物生成了全面的科瓦茨保留指数数据,有助于未来的研究.
结论:
- 拟议的GC-MS方法在成本效益高,对复杂热解油进行定量分析方面取得了重大进展.
- 这种方法有助于更深入地了解热解油的成分,支持高效的废物回收和化学回收.
- 提供的Kováts RI数据增强了研究人员与类似复杂混合物工作的识别能力.
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