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从瓶子到微塑料:我们能否估计我们的塑料制品是如何降解的?

From bottle to microplastics: Can we estimate how our plastic products are breaking down?

机构信息

Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708, USA.

Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708, USA; Department of Mechanical and Materials Engineering, Duke University, Durham, NC 27708, USA.

出版信息

Sci Total Environ. 2022 Mar 25;814:152460. doi: 10.1016/j.scitotenv.2021.152460. Epub 2021 Dec 29.

Abstract

Microplastics (MPs) have become an emerging new pollutant of rising concern due to the exponential growth of plastics in consumer products. Most MP and nanoplastic pollution comes from the fragmentation of plastics through mechanical stress, chemical reactions and biological degradation that occurs during use and after disposal. Models predicting the generation and behavior of MP in the environment are developing, however there is lack of data to predict the rates of MP generation as a function of the abrasive forces. A method to deliver scalable, quantitative release rates of MPs during mechanical stress throughout a plastic's life cycle (e.g., sanding, chewing, river and ocean disposal) is described. A custom abrasion machine was built with features to provide data to calculate power input. The generation rate of MPs through abrasion was tested for the following 3D printed polymers: polylactic acid (PLA), polycarbonate (PC), thermoplastic polyurethane 85A (TPU), polyethylene glycol terephthalate (PETG), high-impact polystyrene (HIPS), and nylon. Each material underwent tensile strength material tests to identify which mechanical properties drive their abrasion rate. Abrasion rate was not observed to correlate to macroscopic mechanic properties. Results indicate that the order of abrasion from most to least were HIPS, nylon, PC, PLA, PETG, and then TPU. This study will help comprehend and provide data to understand generation rates of MPs from consumer plastic products and macro-plastic debris. This will be instrumental in helping to better understand the release of MPs and nanoplastics into the environment and to provide data for fate and transport models, especially in order to predict the amount of plastic entering water systems. MP generation rates and power inputs can be correlated with each plastic's use to inform which release the most MPs and how to better change these products in order to reduce pollution in water sources.

摘要

微塑料 (MPs) 已成为一种新兴的关注污染物,因为消费产品中塑料的指数级增长。大多数 MP 和纳米塑料污染来自于塑料在使用和处置后通过机械应力、化学反应和生物降解而破碎。预测 MP 在环境中生成和行为的模型正在开发中,但是缺乏数据来预测作为磨蚀力函数的 MP 生成速率。描述了一种在塑料的整个生命周期中(例如,打磨、咀嚼、河流和海洋处置)通过机械应力提供可扩展、定量释放 MPs 速率的方法。建立了一种具有提供数据以计算输入功率的功能的定制磨损机。通过磨损测试了以下 3D 打印聚合物的 MPs 生成率:聚乳酸 (PLA)、聚碳酸酯 (PC)、热塑性聚氨酯 85A (TPU)、聚对苯二甲酸乙二醇酯 (PETG)、高抗冲聚苯乙烯 (HIPS) 和尼龙。每种材料都进行了拉伸强度材料测试,以确定驱动其磨损率的机械性能。观察到磨损率与宏观力学性能没有相关性。结果表明,从最磨损到最不磨损的顺序是 HIPS、尼龙、PC、PLA、PETG,然后是 TPU。本研究将有助于理解和提供数据,以了解消费类塑料产品和大塑料碎片中 MPs 的生成率。这对于帮助更好地了解 MPs 和纳米塑料释放到环境中的情况以及为命运和传输模型提供数据将是非常重要的,特别是为了预测进入水系统的塑料量。可以将 MPs 生成率和输入功率与每种塑料的使用情况相关联,以告知哪种塑料释放的 MPs 最多,以及如何更好地改变这些产品以减少水源污染。

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