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A Tunable 3D Printed Microfluidic Resistive Pulse Sensor for the Characterisation of Algae and Microplastics.

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Technologies that can detect and characterise particulates in liquids have applications in health, food and environmental monitoring. Simply counting the numbers of cells or particles, is not sufficient for most… Click to show full abstract

Technologies that can detect and characterise 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 be tuned in real time to measure particles from 2 - 30 m, across a range of salt concentrations i.e. 2.5 × 10-4 to 0.1M. The device remains stable for several days with repeat measurements. We demonstrate its use for characterising algae with spherical and rod structures as well as microplastics shed from teabags. 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 shape of the signal and of the particle are correlated, giving an extra physical property to characterise suspended particulates. The technology can rapidly screen volumes of liquid, 1 mL/ min, for the presence of microplastics and algae.

Keywords: pulse; printed microfluidic; resistive pulse; sensor; pulse sensor; tunable printed

Journal Title: ACS sensors
Year Published: 2020

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