Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
Waste Manag. 2018 Jun;76:117-125. doi: 10.1016/j.wasman.2018.03.003. Epub 2018 Mar 5.
An innovative approach, based on HyperSpectral Imaging (HSI), was developed in order to set up an efficient method to analyze marine microplastic litter. HSI was applied to samples collected by surface-trawling plankton nets from several parts of the world (i.e. Arctic, Mediterranean, South Atlantic and North Pacific). Reliable information on abundance, size, shape and polymer type for the whole ensemble of plastic particles in each sample was retrieved from single hyperspectral images. The simultaneous characterization of the polymeric composition of the plastic debris represents an important analytical advantage considering that this information, and even the validation of the plastic nature of the small debris, is a common flaw in the analysis of marine microplastic pollution. HSI was revealed as a rapid, non-invasive, non-destructive and reliable technology for the characterization of the microplastic waste, opening a promising way for improving the plastic pollution monitoring.
为了建立一种分析海洋微塑料垃圾的有效方法，我们开发了一种基于高光谱成像（HSI）的创新方法。HSI 被应用于从世界各地（如北极、地中海、南大西洋和北太平洋）采集的浮游生物网拖网样本。从单个高光谱图像中可以获得每个样本中所有塑料颗粒的丰度、大小、形状和聚合物类型的可靠信息。同时对塑料碎片的聚合组成进行特征描述，这在分析海洋微塑料污染时是一个重要的分析优势，因为这些信息，甚至是小块碎片的塑料性质的验证，在分析海洋微塑料污染时常常存在缺陷。HSI 被证明是一种快速、非侵入性、无损和可靠的微塑料废物特征描述技术，为改善塑料污染监测开辟了一条有前途的途径。
