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Recent numerical analyses to optimize the design of microfluidic devices formore effective entrapment or segregation of surrogate circulating tumor cells(CTCs) from healthy cells have been reported in the literature withoutconcurrently accommodating the non-Newtonian nature of the body fluid and thenon-uniform geometric shapes of the CTCs. Through a series of two-dimensionalproof-of-concept simulations with increased levels of complexity (e.g., numberof particles, inline obstacles), we investigated the validity of theassumptions of the Newtonian fluid behavior for pseudoplastic fluids and thecircular particle shape for different-shaped particles (DSPs) in the context ofmicrofluidics-facilitated shape-based segregation of particles. Simulationswith a single DSP revealed that even in the absence of internal geometriccomplexities of a microfluidics channel, the aforementioned assumptions led to0.11-0.21W (W is the channel length) errors in lateral displacements of DSPs,up to 3-20% errors in their velocities, and 3-5% errors in their travel times.When these assumptions were applied in simulations involving multiple DSPs ininertial microfluidics with inline obstacles, errors in the lateraldisplacements of DSPs were as high as 0.78W and in their travel times up to23%, which led to different (un)symmetric flow and segregation patterns ofDSPs. Thus, the fluid type and particle shape should be included in numericalmodels and experiments to assess the performance of microfluidics for targetedcell (e.g., CTCs) harvesting.

Combined effects of fluid type and particle shape on particles flow in microfluidic platforms