A microfluidic multichannel resistive pulse sensor using frequency division multiplexing for high throughput counting of micro particles

2011 ◽  
Vol 21 (6) ◽  
pp. 065004 ◽  
Author(s):  
Ashish V Jagtiani ◽  
Joan Carletta ◽  
Jiang Zhe
Author(s):  
Ashish Jagtiani ◽  
Jiang Zhe ◽  
Joan Carletta

We present the design, fabrication and testing of a microfluidic multichannel resistive pulse sensor for high throughput counting of microparticles. The high throughput counting results from using multiple parallel microfluidic channels to analyze the sample. Detection is achieved by using frequency division multiplexing where a known and unique frequency is applied to modulate each microchannel and a combined measurement is made across a single pair of electrodes. Testing results using 30μm polystyrene particles demonstrate that the throughput of the multiplexed device is improved 300% over a single channel device. In addition, the AC modulation method reduces the polarization effect on the microelectrodes, and thereby allows for measurement of the actual particle sizes. The multiplexed detection principle can be extended to a larger number of channels to further improve the throughput, without increasing the external detection electronics.


2020 ◽  
Author(s):  
Mark Platt ◽  
Eugenie Hunsicker ◽  
Marcus Pollard

Technologies that can detect and characterise particulates in liquids have applications in health, food and environmental monitoring. Here we present a low-cost and high-throughput multiuse counter that classifies a particle’s size, concentration, porosity and shape. Using an additive manufacturing process, we have assembled a reusable flow resistive pulse sensor. 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 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.<br>


Author(s):  
Ashish Jagtiani ◽  
Jiang Zhe ◽  
Bi-min Zhang Newby

We describe an all-electronic, label-free, resistive pulse sensor that utilizes multiple micropores for simultaneous detection and counting of multiple biological particles. Four particle samples were utilized for the sensor testing: 20μm and 40μm polymethacrylate (PM) particles, Juniper pollen and Eastern Cottonwood pollen. Experiments demonstrated that this sensor was able to differentiate and count multiple particle solutions simultaneously through its four micropores fabricated on polymer membranes. Thus the sensing throughput has been improved significantly. Furthermore, the experimental results also proved the feasibility of differentiating various pollens from PM microparticles with the multi-pore resistive pulse sensor, with no need for labeling of samples.


Author(s):  
Mark Platt ◽  
Eugenie Hunsicker ◽  
Marcus Pollard

Technologies that can detect and characterise particulates in liquids have applications in health, food and environmental monitoring. Here we present a low-cost and high-throughput multiuse counter that classifies a particle’s size, concentration, porosity and shape. Using an additive manufacturing process, we have assembled a reusable flow resistive pulse sensor. 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 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.<br>


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