Civil & Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Department of Chemistry, Rutgers, The State University of New Jersey, Camden, NJ, USA.
Chemosphere. 2024 Aug;361:142523. doi: 10.1016/j.chemosphere.2024.142523. Epub 2024 Jun 3.
Microplastic (MP) pollution has been widely reported across water matrices including in estuaries, which are important for the understanding of oceanic MPs. Estuaries can greatly alter the fate, transport, size distribution, and abundance of plastic pollution. The aim of this study was to quantify and characterize MP pollution in the Delaware Bay estuary USA, including the size distribution. Samples (N = 31) were collected from the mouth of the Delaware River to the coastal ocean including multiple frontal zones across two sampling campaigns (2019 and 2022). MP were extracted from the collected particles using wet peroxide oxidation and density separation with saturated sodium chloride. Particles collected on 500 μm mesh sieves were analyzed via Fourier transform infrared (FTIR) spectroscopy. Across all samples, 324 of the 1015 particles analyzed were MP, and 11 macroplastics were observed. MP concentrations ranged from below detection to 4.12 MP/m (mean 0.34 ± 0.80 MP/m). No significant differences were observed between sampling sites; nonetheless, the two highest MP concentrations were observed when sampling along frontal zones with visible debris including macroplastics. Polyethylene (53%) and polypropylene (43%) were the most abundant polymers observed. The majority of the non-plastic particles were classified as particulate natural organic matter (82% of non-plastics). Particles from samples collected during 2022 (N = 864) also had color, morphology, and two size dimensions recorded. MP particle size was significantly associated with sampling site, with the coastal ocean sampling site generally having the smallest MPs. A correlation between total post-extraction particles and total plastic particles was observed. Aspect ratios for the plastics ranged from one to 40.7, with larger ratios for fibers, with a mean (±standard deviation) of 3.39 ± 4.72 (unitless). These aspect ratios can be used to select shape factors used to estimate the total volume of MP in the studied size range. Overall, these results can help inform fate, transport, and risk assessments related to estuarine plastic pollution.
微塑料(MP)污染已在包括河口在内的各种水体中广泛报道,这对于了解海洋中的 MP 具有重要意义。河口可以极大地改变塑料污染的命运、运输、大小分布和丰度。本研究的目的是量化和描述美国特拉华湾河口的 MP 污染情况,包括大小分布。在两次采样活动(2019 年和 2022 年)中,从特拉华河河口到沿海海洋,包括多个前缘区,采集了 31 个样本。使用湿过氧化物氧化法和饱和氯化钠密度分离法从采集到的颗粒中提取 MP。通过傅里叶变换红外(FTIR)光谱分析收集在 500μm 筛网上的颗粒。在所有样品中,分析了 1015 个颗粒中的 324 个为 MP,观察到 11 个大块塑料。MP 浓度范围从低于检测下限到 4.12MP/m(平均值 0.34±0.80MP/m)。尽管如此,在沿具有可见碎屑(包括大块塑料)的前缘区采样时,观察到两个最高的 MP 浓度。观察到的最丰富的聚合物是聚乙烯(53%)和聚丙烯(43%)。大多数非塑料颗粒被归类为颗粒状天然有机物(82%的非塑料)。2022 年采集的样品(N=864)还记录了颜色、形态和两个尺寸。MP 粒径与采样地点显著相关,沿海海洋采样地点的 MPs 通常最小。观察到总提取后颗粒与总塑料颗粒之间存在相关性。观察到的塑料的纵横比范围从 1 到 40.7,纤维的比值较大,平均值(±标准偏差)为 3.39±4.72(无量纲)。这些纵横比可用于选择形状因子,以估计研究尺寸范围内的 MP 总体积。总的来说,这些结果可以帮助为河口塑料污染的命运、运输和风险评估提供信息。