基于近红外光谱学的灰中微塑料的定性区分和定量预测
Ruoyu Wu1, Luchao Hao1, Hongqian Tian1
1College of New Energy, North China Electric Power University, Beijing 102206, PR China.
Journal of hazardous materials
|March 12, 2024
概括
便携式近红外光谱技术快速准确地检测废物焚烧灰中的微塑料. 这种方法为环境污染物分析的传统测试提供了更快的替代方案.
科学领域:
- 环境科学 环境科学
- 分析化学 分析化学
- 材料科学 材料科学 材料科学
背景情况:
- 微塑料是新兴的环境污染物,甚至在废物焚烧灰中也存在.
- 目前在灰中检测微塑料的检测方法耗时.
- 有限的研究存在于分析微塑料在这个特定的矩阵.
研究的目的:
- 开发一种快速准确的方法来检测垃圾焚烧灰中的微塑料.
- 从质上区分微塑料类型,从数量上预测它们的含量.
- 为了评估便携式近红外光谱 (NIRS) 对此应用的有效性.
主要方法:
- 使用一个便携式近红外光谱 (NIRS) 光谱仪.
- 采用支持向量机 (SVM) 与乘法散射校正 (MSC) 进行定性分析.
- 应用部分最小平方回归 (PLSR) 进行定量预测.
- 在84个模拟灰样本上进行了测试,这些样本具有不同的微塑料类型 (PP,PS,PE,PVC) 和度 (2.4-20%).
主要成果:
- 该SVM模型在识别微塑料类型方面实现了100%的准确性.
- PLSR模型显示出高定量预测准确度 (Rp2值从0.89到0.95).
- 对于所有测试的微塑料类型,RPD值表明模型性能良好至优良.
结论:
- 便携式NIRS是一种可行的工具,可以快速准确地对废物焚烧灰中的微塑料进行定性和定量分析.
- 这种技术比传统的,耗时的方法有了显著的改进.
- 这项研究为更有效地监测灰中微塑料污染的环境监测提供了基础.
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