Numerical and experimental investigation on the performance of rapid ultrasonic-assisted nucleic acid extraction based on dispersive two-phase flow

Nucleic acid extraction (NAE) is an essential step in the whole process of nucleic acid detection (NAT). Traditional manual extraction methods are time-consuming and laborious, unfavorable to the point-of-care testing of nucleic acids. Ultrasound has been emphasized due to its noncontact and easy-to-manipulate characteristics, and integration with microfluidic chip can realize rapid NAE through acoustic streaming effect. The uniformity of magnetic bead mixing in this process is a critical factor affecting the extraction effect. In this study, we developed an ultrasound-assisted NAE technique based on the magnetic bead method and optimized the chip structure to achieve rapid NAE.We use ultrasonic-assisted coupled with magnetic bead method for ultra-fast NAE. The mixing process of magnetic beads driven by acoustic streaming is simulated by a dispersive two-phase flow model, and the ultrasonic incidence angle (θin), cone structure aspect ratio (Dc/Hc) and sheet structure thickness (Hp) are optimized to enhance the mixing performance. Furthermore, the effectiveness of NAE is validated by utilizing quantitative real-time PCR (qPCR) detection. The findings reveal that a θin value of 10° yields superior mixing performance compared to other incidence angles, resulting in a maximum increase of 84 % in mixing intensity. When Dc/Hc = 0.5 and Hp = 0.5 mm, the maximum mixing index in the localized region of the chamber after 1 s of ultrasound action can reach 83.6 % and 92.5 %, respectively. Compared to the original chamber, the CT values extracted after 5 s of ultrasound action shifted forward by up to 1.9 ct and 4.1 ct, respectively.The dispersed two-phase flow model can effectively simulate the mixing process of magnetic beads, which plays an important role in assisting the structural design of chip extraction chambers. The single-step mixing of ultrasound-assisted NAE takes only 15s to achieve an extraction performance comparable to manual extraction. The extraction process can be completed within 7 min after integrating this technology with microfluidic chips and automated equipment, providing a solution for automated and efficient NAE.