A novel nano-digital inline holographic microscope (nano-DIHM) was used to advance in-situ and real-time nano/microplastic physicochemical research, such as particle coatings and dynamic processes in water. Nano-DIHM data provided evidence of distinct coating patterns on nano/microplastic particles by oleic acid, magnetite, and phytoplankton, representing organic, inorganic, and biological coatings widely present in the natural surroundings. A high-resolution scanning transmission electron microscopy confirmed nano-DIHM data, demonstrating its nano/microplastic research capabilities. The sedimentation of two plastic size categories was examined: (a) ∼10 to 700 µm, and (b) ∼ 1 to 5 mm. Particle size was the primary factor affecting the sedimentation for studied (a) microplastics and (b) pellets. Two types of silicone rubbers exhibited different sedimentation processes. We also demonstrated that inorganic ions in seawater and oleic acid organic coatings altered the sedimentation velocity of studied plastics by 9 – 13% and 5 – 9%, respectively. Semi-empirical probability functions were developed and incorporated into a numerical model (CaMPSim-3D) to simulate the transport of studied microplastics and pellets in the Saint John River estuary. Water dynamics was the driving force of plastic transport, yet the accumulation of plastics was selectively dependant on particle physicochemical properties such as size and density by ∼ 7%. The usage of nano-DIHM for targeted identification of nano/microplastic hotspots and aquatic plastic wastes remediation were discussed.

一种新型纳米数字在线全息显微镜 (nano-DIHM) 用于原位推进实时纳米/微塑料物理化学研究，例如粒子涂层和水中的动态过程。Nano-DIHM 数据提供了油酸、磁铁矿和浮游植物在纳米/塑料微粒上的不同涂层模式的证据，代表了自然环境中广泛存在的有机、无机和生物涂层。高分辨率扫描透射电子显微镜证实了纳米 DIHM 数据，展示了其纳米/微塑料研究能力。检查了两种塑料尺寸类别的沉降：(a) ~ 10 至 700 µm，和 (b) ~ 1 至 5 mm。粒径是影响所研究的 (a) 微塑料和 (b) 颗粒沉降的主要因素。两种类型的硅橡胶表现出不同的沉降过程。我们还证明，海水和油酸有机涂层中的无机离子使所研究塑料的沉降速度分别改变了 9-13% 和 5-9%。开发了半经验概率函数并将其纳入数值模型 (CaMPSim-3D) 中，以模拟所研究的微塑料和颗粒在圣约翰河口的运输。水动力学是塑料运输的驱动力，但塑料的积累选择性地依赖于约 7% 的颗粒物理化学性质，例如尺寸和密度。讨论了纳米 DIHM 在纳米/微塑料热点的靶向识别和水生塑料废物修复中的应用。开发了半经验概率函数并将其纳入数值模型 (CaMPSim-3D) 中，以模拟所研究的微塑料和颗粒在圣约翰河口的运输。水动力学是塑料运输的驱动力，但塑料的积累选择性地依赖于约 7% 的颗粒物理化学性质，例如尺寸和密度。讨论了纳米 DIHM 在纳米/微塑料热点的靶向识别和水生塑料废物修复中的应用。开发了半经验概率函数并将其纳入数值模型 (CaMPSim-3D) 中，以模拟所研究的微塑料和颗粒在圣约翰河口的运输。水动力学是塑料运输的驱动力，但塑料的积累选择性地依赖于约 7% 的颗粒物理化学性质，例如尺寸和密度。讨论了纳米 DIHM 在纳米/微塑料热点的靶向识别和水生塑料废物修复中的应用。然而，塑料的积累选择性地取决于约 7% 的颗粒物理化学性质，例如尺寸和密度。讨论了纳米 DIHM 在纳米/微塑料热点的靶向识别和水生塑料废物修复中的应用。然而，塑料的积累选择性地取决于约 7% 的颗粒物理化学性质，例如尺寸和密度。讨论了纳米 DIHM 在纳米/微塑料热点的靶向识别和水生塑料废物修复中的应用。