Metropolitan College, Faculty of Engineering and Architecture, Athens, Greece; BioNanoTec LTD, Nicosia, Cyprus.
Radar Systems and Remote Sensing Lab of School of Electrical & Computer Engineering of National Technical University of Athens, Greece.
Micron. 2022 Apr;155:103228. doi: 10.1016/j.micron.2022.103228. Epub 2022 Jan 31.
Atomic Force Microscopy (AFM) nanoindentation is a powerful tool for the mechanical nano-characterization of biological samples. However, the range of Young's modulus values for the same type of samples usually varies significantly in the literature. This fact is partly related to the inhomogeneity of biological samples at the nanoscale and partly to significant mistakes during data processing. This review depicts that common errors related to (i) the real shape of the AFM tip, (ii) the range of data for which the sample presents an approximate linear elastic response, (iii) the sample's viscoelasticity, (iv) the sample's shape and (v) the substrate effects can be easily avoided without increasing the complexity of data processing. Thus, the present review paper focuses on the procedures that should be followed for the accurate processing of force-indentation curves regarding experiments on biological samples.
原子力显微镜(AFM)纳米压痕是生物样本机械纳米特性化的有力工具。然而,同一类型的样本的杨氏模量值范围在文献中通常差异很大。这一事实部分与纳米尺度生物样本的非均一性有关,部分与数据处理过程中的重大错误有关。这篇综述表明,与(i)AFM 针尖的真实形状、(ii)样本呈现近似线性弹性响应的数据范围、(iii)样本的粘弹性、(iv)样本的形状和(v)基底效应有关的常见错误很容易避免,而不会增加数据处理的复杂性。因此,本综述论文侧重于针对生物样本实验,准确处理力-压痕曲线所应遵循的步骤。