表面污染对可生物降解塑料近红外光谱的影响
Namrata Mhaddolkar1,2, Gerald Koinig1, Daniel Vollprecht3
1Chair of Waste Processing Technology and Waste Management (AVAW), Montanuniversitaet Leoben, Franz-Josef-Strasse 18, 8700 Leoben, Austria.
Polymers
|August 29, 2024
概括
对可生物降解塑料 (BDPs) 进行适当的分类对于回收至关重要. 食物和其他废物的表面污染显著改变了BDPs近红外 (NIR) 光谱,影响了分类能力,并要求优化NIR数据库.
科学领域:
- 材料科学 材料科学 材料科学
- 环境科学 环境科学
- 分析化学 分析化学
背景情况:
- 全球生物降解塑料 (BDP) 的生产正在迅速增加.
- 有效的BDP回收取决于精确的废物分类.
- 近红外 (NIR) 分类是BDP的关键技术,但其有效性可能会受到表面污染的影响.
研究的目的:
- 研究各种表面污染物对BDPs NIR光谱的影响.
- 了解食品废弃物,包装废弃物,生物废弃物和剩余废弃物如何影响BDP的光谱特性.
- 确定在存在污染的情况下改进BDP分类的策略.
主要方法:
- 人工诱导BDP样本的表面污染与食品废弃物模拟剂.
- 分析与现实世界废物流 (食品,包装,生物废物,残留物) 污染的BDPs的NIR光谱.
- 比较受污染和清洁/洗净的BDP样本的光谱数据.
主要成果:
- 人工污染的样本显示出由于水分 (1352-1424 nm) 和脂肪酸 (1223 nm) 的频谱变化.
- 现实世界中的生物废物和残留废物污染显著改变了BDP光谱,特别是与水分相关的频段 (1352-1424 nm).
- 包装废物污染的影响最小,其光谱与清洁样本非常相似.
结论:
- 表面污染明显影响BDP NIR光谱,影响分类能力.
- 了解污染物诱导的光谱变化可以优化NIR分类数据库.
- 策略包括省略受影响的波长范围或将受污染的样本数据纳入排序算法.
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