Institute of Fluid Dynamics, Department of Mechanical and Process Engineering, ETH Zürich, Sonneggstrasse 3, 8092 Zürich, Switzerland.
Soft Matter. 2023 Aug 9;19(31):5925-5941. doi: 10.1039/d3sm00871a.
Understanding the shell rheology of ultrasound contrast agent microbubbles is vital for anticipating their bioeffects in clinical practice. Past studies using sophisticated acoustic and optical techniques have made enormous progress in this direction, enabling the development of shell models that adequately reproduce the nonlinear behaviour of the coated microbubble under acoustic excitation. However, there have also been puzzling discrepancies and missing physical explanations for the dependency of shell viscosity on the equilibrium bubble radius, which demands further experimental investigations. In this study, we aim to unravel the cause of such behaviour by performing a refined characterisation of the shell viscosity. We use ultra-high-speed microscopy imaging, optical trapping and wide-field fluorescence to accurately record the individual microbubble response upon ultrasound driving across a range of bubble sizes. An advanced model of bubble dynamics is validated and employed to infer the shell viscosity of single bubbles from their radial time evolution. The resulting values reveal a prominent variability of the shell viscosity of about an order of magnitude and no dependency on the bubble size, which is contrary to previous studies. We find that the method called bubble spectroscopy, which has been used extensively in the past to determine the shell viscosity, is highly sensitive to methodology inaccuracies, and we demonstrate through analytical arguments that the previously reported unphysical trends are an artifact of these biases. We also show the importance of correct bubble sizing, as errors in this aspect can also lead to unphysical trends in shell viscosity, when estimated through a nonlinear fitting from the time response of the bubble.
了解超声造影微泡的外壳流变性对于预测其在临床实践中的生物效应至关重要。过去使用复杂的声学和光学技术的研究在这方面取得了巨大进展,使人们能够开发出能够充分再现涂层微泡在声激励下的非线性行为的外壳模型。然而,对于外壳粘度对平衡气泡半径的依赖性,也存在令人困惑的差异和缺失的物理解释,这需要进一步的实验研究。在这项研究中,我们旨在通过对外壳粘度进行精细的特性分析来揭示这种行为的原因。我们使用超高速显微镜成像、光学捕获和宽场荧光技术,在超声驱动下,在一系列气泡尺寸范围内准确记录单个微泡的响应。验证并使用先进的气泡动力学模型,从其径向时间演化推断单个气泡的外壳粘度。得到的结果显示,外壳粘度的变化幅度约为一个数量级,并且不依赖于气泡尺寸,这与以前的研究结果相反。我们发现,过去广泛用于确定外壳粘度的方法称为气泡光谱法,对方法学的不准确性非常敏感,并且通过分析论证表明,以前报道的非物理趋势是这些偏差的人为产物。我们还展示了正确的气泡尺寸测量的重要性,因为在这方面的误差也会导致通过气泡时间响应进行非线性拟合来估计外壳粘度时出现非物理趋势。