微塑料
粒子(生态学)
微流控
电阻式触摸屏
材料科学
信号(编程语言)
多孔性
纳米技术
粒径
生物系统
光电子学
环境科学
化学工程
化学
环境化学
复合材料
计算机科学
生态学
生物
工程类
计算机视觉
程序设计语言
作者
Marcus Pollard,Eugénie Hunsicker,Mark Platt
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2020-07-08
卷期号:5 (8): 2578-2586
被引量:31
标识
DOI:10.1021/acssensors.0c00987
摘要
Technologies that can detect and characterize particulates in liquids have applications in health, food, and environmental monitoring. Simply counting the numbers of cells or particles is not sufficient for most applications; other physical properties must also be measured. Typically, it is necessary to compromise between the speed of a sensor and its chemical and biological specificity. Here, we present a low-cost and high-throughput multiuse counter that classifies a particle's size, concentration, and shape. We also report how the porosity/conductivity or the particle can influence the signal. Using an additive manufacturing process, we have assembled a reusable flow resistive pulse sensor capable of being tuned in real time to measure particles from 2 to 30 μm across a range of salt concentrations, i.e., 2.5 × 10–4 to 0.1 M. The device remains stable for several days with repeat measurements. We demonstrate its use for characterizing algae with spherical and rod structures as well as microplastics shed from tea bags. We present a methodology that results in a specific signal for microplastics, namely, a conductive pulse, in contrast to particles with smooth surfaces such as calibration particles or algae, allowing the presence of microplastics to be easily confirmed and quantified. In addition, the shapes of the signal and of the particle are correlated, giving an extra physical property to characterize suspended particulates. The technology can rapidly screen volumes of liquid, 1 mL/min, for the presence of microplastics and algae.
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