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在不同的处理过程下,在垃圾填埋场的微塑料的分布和物质预测在不同的处理过程下使用知识图增强的分子对比学习

Meilan Zhang¹, Xuwei Zhao¹, Jia-Hong Kuo²

¹State Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China.

|July 22, 2025

概括

垃圾填埋场液微塑料 (MP) 的去除在处理阶段进行了研究. 该系统减少了68.91%的MP,其中纤维素和聚胺是主要类型. 预测的高毒性在特定的漂水点被发现.

科学领域:

环境科学环境科学
环境化学环境化学
毒理学毒理学毒理学

背景情况:

垃圾填埋场的液是微塑料 (MP) 的重要储存库,造成环境和健康风险.
在液处理过程中,MPs的行为和毒性尚未得到充分了解.
目前的毒性评估是资源密集的.

研究的目的:

调查MPs的分布,特性和毒理概况在一个全面的液处理系统中.
评估不同处理过程在去除MP时的有效性.
用一种新的计算模型来预测MP的毒性.

主要方法:

在膜生物反应器 (MBR),超过 (UF),纳米过 (NF) 和反透 (RO) 的流入,废水和缩样本中分析MPs.
14种MP类型的识别和量化.
应用KANO (知识图增强分子对比学习) 用于毒性预测.

主要成果:

总的来说,MP的清除效率为68.91%,使度从14150个物品减少到4400个物品/L.
纤维素 (74.61%) 和聚胺 (23.71%) 是最丰富的MP类型.
在MBR影响和DTRO度中观察到对胃肠道,免疫和皮肤系统的高预测毒性潜力.

结论:

工程水处理系统可以减少微塑料负载,但像DTRO缩剂这样的特定阶段可能会保留高风险的MP.
卡诺模型提供了一种有效的方法来预测MP的毒性.
需要进一步的研究,以了解MPs在经过处理的液和环境中的长期影响.

关键词:

垃圾填埋场的洗液是如何处理的微塑料是一种微塑料.毒性预测毒性预测没有监督的学习学习.

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