Department of Science and High Technology, University of Insubria, Via Valleggio 11, 22100, Como, Italy.
Group of Applied Analytical Chemistry. Instituto Universitario de Medio Ambiente, Universidade da Coruña, Campus da Zapateira s/n, E-15071, A Coruña, Spain.
Environ Pollut. 2024 May 15;349:123911. doi: 10.1016/j.envpol.2024.123911. Epub 2024 Apr 9.
The rising trend of plastic production in last years and the inadequate disposal of related waste has raised concerns regarding microplastic-related environmental issues. Microplastic particles disperse by means of transport and deposition processes to different ecosystems and enter food chains. In this paper, atmospheric deposition and foliage samples of two species (i.e., Hedera helix and Photinia glabra) were collected and analysed for the quantity and identity of microplastics (MPs). A preliminary methodology to treat foliage samples and subsequently identify MPs using a quantum cascade laser IR spectrophotometer is presented. The treatment of airborne samples involved filtration, mild digestion, concentration, and transfer onto reflective slides whereas that for foliage involved washing, concentration, and transference of putative MPs onto reflective slides. Fibers and fragments were differentiated according to their physical features (size, width, height, etc.) and calculating derived characteristics (namely, circularity and solidity). The preliminary results obtained suggest a good agreement between atmospheric-deposited and foliage-retained MPs, showing the capability of leaves to act as passive samplers for environmental monitoring.
近年来,塑料产量呈上升趋势,相关废物的处理不当引起了人们对与微塑料相关的环境问题的关注。微塑料颗粒通过运输和沉积过程分散到不同的生态系统中,并进入食物链。本文采集并分析了两种物种(即常春藤和红叶石楠)的大气沉降物和叶片样本,以研究微塑料(MPs)的数量和种类。本文提出了一种初步的方法,用于处理叶片样本,并随后使用量子级联激光红外分光光度计来识别 MPs。对于大气沉降物样本,采用过滤、温和消化、浓缩和转移到反射载玻片上的方法进行处理,而对于叶片样本,采用清洗、浓缩和将疑似 MPs 转移到反射载玻片上的方法进行处理。纤维和碎片根据其物理特征(大小、宽度、高度等)和计算得到的特征(即圆度和密实度)进行区分。初步结果表明,大气沉降物和叶片中保留的 MPs 之间具有良好的一致性,表明叶片具有作为环境监测的被动采样器的能力。