Enhanced Particle Detection in a Spinning Helical Microchannel
The present study is focused on developing a CD4+ T-cell counting device for HIV/AIDS monitoring with the aid of a helical microchannel. Numerical studies were carried out in a stationary and a spinning helical microchannel to compare the effect of pressure drop and flow distribution for a high pressure and varying spinning speed and thereby stable conditions for the experiment was derived out. For the experiment, 10 μm sized particles were used for visualization with a fluorescence microscope system. A sample with the viscosity as that of blood and other samples with different viscosities were also prepared to determine the effect of density and viscosity in aligning the particles. The samples were then injected into the channel and the particles were then traced in stationary and spinning channels. The channels were rotated using a DC motor controlled by an Arduino board with a Bluetooth shield. It was found that when the sample cartridge was made stationary, no particle alignment was achieved for a medium with density lower than that of the particles, but when it was spun at 2000–3000 rpm for 1–4 min, an alignment was obtained at the top of the channel facilitating detection of those particles. Since an alignment of particles was achieved for a medium with density as that of blood plasma, the same approach can be applied for aligning and counting CD4+ T-lymphocytes in whole blood samples collected from patients.
KeywordsHelical microchannel Spinning Alignment Particle detection
Unable to display preview. Download preview PDF.
This research was supported by the National Research Foundation (NRF) of Korea grants funded by the Ministry of Education (NRF-2013R1A1A2059539, NRF-2016R1D1A1A09917195), Republic of Korea.
- 1.Hidesato ITO (1987) Flow in curved pipes. JSME Int J Bull 30:543–552Google Scholar
- 2.Kuntaegowdanahalli SS, Bhagat AA, Kumar G et al (2009) Inertial microfluidics for continuous particle separation in spiral microchannels. Lab Chip 9:2973–2980Google Scholar
- 3.Wu L, Guan G, Hou HW et al (2012) Separation of leukocytes from blood using spiral channel with trapezoid cross-section. Anal Chem 84:9324–9331Google Scholar
- 4.Lee W, Kwon D, Choi W et al (2015) 3D-printed microfluidic device for the detection of pathogenic bacteria using size-based separation in helical channel with trapezoid cross-section. Sci Rep 5:7717Google Scholar
- 5.Prasad B, Kim JK (2014) CFD analysis of geometric parameters that affect dean flow in a helical microchannel. J Korean Soc Marine Eng 38:1269–1274Google Scholar
- 6.Gervais L, De Rooij N, Delamarche E (2011) Microfluidic chips for point-of-care immunodiagnostics. Adv Mater 23:H151–H176Google Scholar
- 7.Boyle DS, Hawkins KR, Steele MS et al (2012) Emerging technologies for point-of-care CD4 T-lymphocyte counting. Trends Biotechnol 30:45–54Google Scholar
- 8.Wang S, Tasoglu S, Chen PZ et al (2014) Micro-a-fluidics ELISA for rapid CD4 cell count at the point-of-care. Sci Rep 4:3796Google Scholar
- 9.Ludwig SK, Zhu H, Phillips S et al (2014) Cellphone-based detection platform for rbST biomarker analysis in milk extracts using a microsphere fluorescence immunoassay. Anal Bioanal Chem 406:6857-6866Google Scholar
- 10.Park E, Kim S, Cho MO et al (2015) Evaluation of particle counting by smartphone-based fluorescence smartscope and particle positioning in spinning helical channel. J Korea Ind Inf Sys Res 20:19–28Google Scholar
- 11.Yang WC (2003) Handbook of fluidization and fluid-particle systems. CRC PressGoogle Scholar
- 12.Konijn BJ, Sanderink OBJ, Kruyt NP (2014) Experimental study of the viscosity of suspensions: effect of solid fraction, particle size and suspending liquid. Powder Technol 266:61–69Google Scholar