Automated analysis of soft material microindentation. Issue 43 (26th October 2022)

• Record Type: Journal Article
• Authors: Symons, Henry E.; Galanti, Agostino; Surmon, Joseph C.; Trask, Richard S.; Rochat, Sebastien; Gobbo, Pierangelo
• Is Part Of: Soft matter. Volume 18:Issue 43(2022)
• Page Start: 8302
• Page End: 8314
• Publication Date: 2022-10-26
• Subjects: Soft condensed matter -- Periodicals; 530.413
• DOI: 10.1039/d2sm00857b
• Languages: English
• ISSNs: 1744-683X

Abstract

Abstract : A new algorithm is developed to automate the analysis of microindentation measurements by removing data which deviates from elastic contact models. This approach is demonstrated to facilitate the macroscale mechanical mapping of soft materials. Abstract : An understanding of the mechanical properties of soft hydrogel materials over multiple length scales is important for their application in many fields. Typical measurement methods provide either bulk mechanical properties (compression, tensile, rheology) or probing of nano or microscale properties and heterogeneity (nanoindentation, AFM). In this work we demonstrate the complementarity of instrumented microindentation to these techniques, as it provides representative Young's moduli for soft materials with minimal influence of the experimental parameters chosen, and allows mechanical property mapping across macroscopic areas. To enable automated analysis of the large quantities of data required for these measurements, we develop a new fitting algorithm to process indentation data. This method allows for the determination of Young's moduli from imperfect data by automatic selection of a region of the indentation curve which does not display inelastic deformation or substrate effects. We demonstrate the applicability of our approach with a range of hydrogels, including materials with patterns and gradients in stiffness, and expect the techniques described here to be useful developments for the mechanical analysis of a wide range of soft and biological systems.