Chemical Engineering Department, University of Massachusetts, Amherst, USA.
Polymer Science and Engineering Department, University of Massachusetts, Amherst, USA.
J Mech Behav Biomed Mater. 2024 Dec;160:106698. doi: 10.1016/j.jmbbm.2024.106698. Epub 2024 Aug 22.
Traditional mechanical characterization of extremely soft tissues is challenging given difficulty extracting tissue, satisfying geometric requirements, keeping tissues hydrated, and securing the tissue in an apparatus without slippage. The heterogeneous nature and structural complexity of brain tissues on small length scales makes it especially difficult to characterize. Needle-induced cavitation (NIC) is a technique that overcomes these issues and can mechanically characterize brain tissues at precise, micrometer-scale locations. This small-scale capability is crucial in order to spatially characterize diseased tissue states like fibrosis or cancer. NIC consists of inserting a needle into a tissue and pressurizing a fluid until a deformation occurs at the tip of the needle at a critical pressure. NIC is a convenient, affordable technique to measure mechanical properties, such as modulus and fracture energy, and to assess the performance of soft materials. Experimental parameters such as needle size and fluid flowrate are tunable, so that the end-user can control the length and time scales, making it uniquely capable of measuring local mechanical properties across a wide range of strain rates. The portable nature of NIC and capability to conduct in vivo experiments makes it a particularly appealing characterization technique compared to traditional methods. Despite significant developments in the technique over the last decade, wide implementation in the biological field is still limited. Here, we address the limitations of the NIC technique specifically when working with soft tissues and provide readers with expected results for brain tissue. Our goal is to assist others in conducting reliable and reproducible mechanical characterization of soft biomaterials and tissues.
鉴于从组织中提取组织、满足几何要求、保持组织湿润以及在不滑动的情况下将组织固定在仪器中等方面的困难,对极软组织进行传统的机械特性分析具有挑战性。脑组织在小尺度上具有异质性质和结构复杂性,因此尤其难以进行特性分析。针诱导空化(NIC)是一种克服这些问题的技术,可在精确的微米级位置对脑组织进行机械特性分析。为了在空间上对纤维化或癌症等疾病组织状态进行特征描述,这种小尺度能力至关重要。NIC 包括将针插入组织并加压流体,直到针的尖端在临界压力下发生变形。NIC 是一种方便且经济实惠的测量机械性能(如模量和断裂能)的技术,并且可以评估软材料的性能。实验参数,如针的大小和流体流速,是可调的,因此终端用户可以控制长度和时间尺度,使其能够独特地测量大范围应变速率下的局部机械性能。NIC 的便携性和进行体内实验的能力使其与传统方法相比,成为一种特别有吸引力的特性分析技术。尽管该技术在过去十年中取得了重大进展,但在生物领域的广泛应用仍然有限。在这里,我们专门讨论了 NIC 技术在处理软组织时的局限性,并为读者提供了脑组织的预期结果。我们的目标是帮助其他人对软生物材料和组织进行可靠和可重复的机械特性分析。