Alsadiq Hussain, Alhay Zahra
Department of Mechanical Engineering, University of Prince Mugrin, Medinah 42241, Saudi Arabia.
Health Sciences Center, University of Oklahoma, Oklahoma City, OK 73104, USA.
Micromachines (Basel). 2025 May 17;16(5):588. doi: 10.3390/mi16050588.
Lipid-shelled microbubbles (MBs) and echogenic liposomes (ELIPs) have been proposed as acoustofluidic theranostic agents after having been proven to be efficient in diagnostics as ultrasonic contrast agents. Their mechanical properties-such as shell stiffness, friction, and resonance frequency-are critical to their performance, stability, oscillatory dynamics, and response to sonication. A precise characterization of these properties is essential for optimizing their biomedical applications, however the current methods vary significantly in their sensitivity and accuracy. This review examines the experimental and theoretical methodologies used to quantify the mechanical properties of MBs and ELIPs, discusses how each approach estimates shell stiffness and friction, and outlines the strengths and limitations inherent to each technique. Additionally, the effects of parameters such as temperature and lipid composition on MB and ELIP mechanical behavior are examined. Four characterization methods are analyzed, including frequency-dependent attenuation, optical observation, atomic force microscopy (AFM), and laser scattering, their advantages and limitations are critically assessed. Additionally, the factors that influence the mechanical properties of the MBs and ELIPs, such as temperature and lipid composition, are examined. Frequency-dependent attenuation was shown to provide reliable shell elasticity estimates but is influenced by nonlinear oscillations, AFM confirms that microbubble stiffness is size-dependent with smaller bubbles exhibiting higher shell stiffness, and theoretical models such as modified Rayleigh-Plesset equations increasingly incorporate viscoelastic shell properties to improve prediction accuracy. However, many of these models still assume radial symmetry and neglect inter-bubble interactions, which can lead to inaccurate elasticity values when applied to dense suspensions. In such cases, using modified frameworks like the Sarkar model, which incorporates damping and surface tension explicitly, may provide more reliable estimates under nonlinear conditions. Additionally, lipid composition and temperature significantly affect shell mechanics, with higher temperatures generally reducing stiffness. On the other hand, inconsistencies in experimental protocols hinder direct comparison across studies, highlighting the need for standardized characterization methods and improved computational modeling.
脂质壳微泡(MBs)和回声脂质体(ELIPs)在被证明作为超声造影剂在诊断中有效后,已被提议作为声流体治疗诊断剂。它们的机械性能,如壳刚度、摩擦力和共振频率,对其性能、稳定性、振荡动力学以及对超声处理的响应至关重要。精确表征这些性能对于优化其生物医学应用至关重要,然而目前的方法在灵敏度和准确性方面差异很大。本综述研究了用于量化MBs和ELIPs机械性能的实验和理论方法,讨论了每种方法如何估计壳刚度和摩擦力,并概述了每种技术固有的优缺点。此外,还研究了温度和脂质组成等参数对MB和ELIP机械行为的影响。分析了四种表征方法,包括频率依赖性衰减、光学观察、原子力显微镜(AFM)和激光散射,并对它们的优缺点进行了严格评估。此外,还研究了影响MBs和ELIPs机械性能的因素,如温度和脂质组成。频率依赖性衰减被证明可以提供可靠的壳弹性估计,但会受到非线性振荡的影响,AFM证实微泡刚度与尺寸有关,较小的气泡表现出更高的壳刚度,并且诸如修正瑞利-普莱斯方程等理论模型越来越多地纳入粘弹性壳特性以提高预测准确性。然而,这些模型中的许多仍然假设径向对称性并忽略气泡间相互作用,当应用于密集悬浮液时,这可能导致弹性值不准确。在这种情况下,使用像Sarkar模型这样明确纳入阻尼和表面张力的修正框架,可能会在非线性条件下提供更可靠的估计。此外,脂质组成和温度会显著影响壳力学,通常温度越高,刚度越低。另一方面,实验方案的不一致阻碍了不同研究之间的直接比较,突出了对标准化表征方法和改进计算模型的需求。