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便携式热解点放电光学光谱仪用于现场塑料聚合物识别,通过与机器学习相合

Tian Ren¹, Yuanyuan Li¹, Xi Wang¹

¹Key Laboratory of Green Chemistry & Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064 ,China.

Environmental science & technology

|January 24, 2024

概括

一个新的便携式系统快速识别塑料类型,使用一个微型 pyrolyzer 和光学辐射光谱仪. 这种具有成本效益的工具通过在现场准确分类聚合物,包括老化和彩色样本,帮助塑料回收.

科学领域:

材料科学材料科学材料科学
分析化学分析化学
环境科学环境科学

背景情况:

准确的聚合物识别对于有效的塑料回收利用至关重要.
传统的方法往往是缓慢的,复杂的,不适合现场应用.
现有的技术与大型,有色或老化的塑料样品作斗争.

研究的目的:

开发一种便携式,快速,经济高效的在现场聚合物识别系统.
在回收场景中克服当前聚合物分析技术的局限性.
为了使各种塑料废物流的有效分类.

主要方法:

一个综合系统的制造,该系统结合了微型 pyrolyzer (Pyr) 和低温点放电光学发射光谱仪 (μPD-OES).
在Pyr中分解塑料碎片以产生挥发性产品.
使用μPD-OES对热热解产品进行分析,以监测光学辐射模式.
机器学习算法的应用用于聚合物分类.

主要成果:

皮尔-μPD-OES系统在分类五种常见的原始聚合物及其消费产品方面取得了高准确性 (≥97.8%).
该系统成功识别了来自回收站的老化聚合物和塑料样品.
证明了识别环境化的塑料的潜力.

结论:

开发的便携式Pyr-μPD-OES系统为快速,基于现场的聚合物识别提供了具有成本效益的解决方案.
这项技术可以显著改善塑料废物的管理和资源回收.
该系统分析多样化和老化塑料的能力使其对现实世界回收应用非常有价值.

关键词:

现场识别现场识别现场识别机器学习是机器学习.微质微体是什么便携式热解光学发射光谱仪回收回收是回收的方法.废弃的塑料废弃物塑料废弃物

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