6273Norwegian Institute for Water Research (NIVA), Oslo, Norway.
Department of Ecology and Evolutionary Biology, 7938University of Toronto, Toronto, Ontario, Canada.
Appl Spectrosc. 2020 Sep;74(9):1139-1153. doi: 10.1177/0003702820930733. Epub 2020 Aug 6.
Microplastics are a diverse category of pollutants, comprising a range of constituent polymers modified by varying quantities of additives and sorbed pollutants, and exhibiting a range of morphologies, sizes, and visual properties. This diversity, as well as their microscopic size range, presents numerous barriers to identification and enumeration. These issues are addressed with the application of physical and chemical analytical procedures; however, these present new problems associated with researcher training, facility availability and cost, especially for large-scale monitoring programs. Perhaps more importantly, the classifications and nomenclature used by individual researchers to describe microplastics remains inconsistent. In addition to reducing comparability between studies, this limits the conclusions that may be drawn regarding plastic sources and potential environmental impacts. Additionally, where particle morphology data is presented, it is often separate from information on polymer distribution. In establishing a more rigorous and standardized visual identification procedure, it is possible to improve the targeting of complex analytical techniques and improve the standards by which we monitor and record microplastic contamination. Here we present a simple and effective protocol to enable consistent visual processing of samples with an aim to contribute to a higher degree of standardization within the microplastic scientific community. This protocol will not eliminate the need for non-subjective methods to verify plastic objects, but it will standardize the criteria by which suspected plastic items are identified and reduce the costs associated with further analysis.
微塑料是一类多种多样的污染物,包含一系列组成聚合物,这些聚合物通过不同数量的添加剂和吸附污染物进行修饰,并表现出多种形态、大小和视觉特性。这种多样性以及它们的微观尺寸范围,给识别和计数带来了许多障碍。这些问题可以通过应用物理和化学分析程序来解决;然而,这些程序给研究人员培训、设施可用性和成本带来了新的问题,尤其是对于大规模监测计划而言。也许更重要的是,个别研究人员用来描述微塑料的分类和命名法仍然不一致。除了降低研究之间的可比性之外,这还限制了对塑料来源和潜在环境影响的结论的得出。此外,在呈现颗粒形态数据的情况下,这些数据通常与聚合物分布信息分开呈现。在建立更严格和标准化的视觉识别程序时,我们可以改进针对复杂分析技术的目标,并改进我们监测和记录微塑料污染的标准。在这里,我们提出了一个简单而有效的方案,以实现对样品的一致视觉处理,旨在为微塑料科学界提供更高程度的标准化。该方案不会消除需要使用非主观方法来验证塑料物体的必要性,但它将标准化识别疑似塑料物品的标准,并降低与进一步分析相关的成本。