五个采样器的有效性,以捕获不同大小的悬浮颗粒物和微塑料颗粒
Mohamed Harhash1, Henning Schroeder1, Alexander Zavarsky1
1Federal Institute of Hydrology, Department G - Qualitative Hydrology, Am Mainzer Tor 1, 56068, Koblenz, Germany.
Chemosphere
|July 13, 2023
概括
选择合适的悬浮颗粒物 (SPM) 采样器对于准确的水质分析至关重要. 基于被动沉积的采样器 (SBS) 对于小颗粒和微塑料的效率较低,与真空过和连续流离离心等活性方法不同.
科学领域:
- 环境科学 环境科学
- 分析化学 分析化学
- 水质监测 水质监测
背景情况:
- 悬浮颗粒物 (SPM) 对于水生生态系统中的营养循环和污染物运输至关重要.
- 精确的SPM采样对于评估水体化学状态至关重要.
- 在SPM采样中的挑战包括粒子大小异质性,不均的分布和多样化的采样设备.
研究的目的:
- 为了评估五种常见的SPM采样装置的效率.
- 为了比较基于被动沉积的采样 (SBS) 与主动分离技术.
- 根据颗粒大小和材料来确定收集的SPM样本的代表性.
主要方法:
- 测试了三种基于被动沉积的样品 (沉积盒,沉积,雷茨样品) 和两种主动分离技术 (连续流离离心机,真空过).
- 使用了具有定义尺寸的矿物,有机和微塑料颗粒的实验室标准悬浮剂.
- 评估基于质量的效率和收集样品的颗粒大小分布.
主要成果:
- 基于被动沉积的样品 (SBS) 对矿物和有机颗粒 (<75μm) 的效率低 (0-66%),收集样品的颗粒大小转向更大.
- 由于SBS的密度较低,SBS对微塑料颗粒 (<80μm) 的效率非常低 (<20%),原因是它们的密度较低.
- 活性分离技术 (真空过和连续流离离心机) 对所有测试材料都显示出高效率 (>86%),保留了颗粒大小分布.
结论:
- SPM采样设备的效率有很大的差异,影响了定量分析.
- 基于被动沉积的样本对小颗粒和微塑料的有效性较低.
- 主动分离技术为监测和化学分析提供了更具代表性的SPM样本.
相关概念视频
Sampling Methods: Sample Types
289
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
289
Sampling Plans
214
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
214


