DOI: https://doi.org/10.59321/BAUETJ.V4I2.3
AUTHOR(S)
Md Mohaimeen Ul Islam
ABSTRACT
Microfluidics holds great promise for manipulating particles. This field is particularly important for biomedical, lab-on-chip environmental, and chemical analysis. Several techniques have been adopted and developed to increase the efficiency of particle sorting. These methods include fluorescence-activated cell sorting, electrophoresis, gravitational, optical, and magnetospheric sorting. This article conducts a comprehensive literature review to understand the methodologies implemented in recent years. This paper aims to investigate and model particle separation dynamics in a microfluidic channel utilizing the piezoelectric transducer. Specifically, it seeks to optimize separation efficiency by analyzing the influence of the system’s resonant frequency on manipulating and sorting particles within the microfluidic environment. The other goal is to characterize the effects of different parameters, such as flow rate, water content, and resonant wave frequency. The study used numerical methods to avoid an expensive experimental setup. The simulation revealed that particles exposed to acoustic waves undergo separation across the width of the channel. It is also observed that important parameters like flow rates, frequency, and diameter of the particles influence the sorting efficiency. Thus, this paper will advance our theoretical knowledge of the interactions between acoustic waves and particles, which can be a reference to the design of advanced microfluidic systems for future applications.