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      Assessment of nanoindentation in stiffness measurement of soft biomaterials: kidney, liver, spleen and uterus

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          Abstract

          Nanoindentation technology with high spatial resolution and force sensitivity is widely used to measure the mechanical properties of hard biomaterials and tissues. However, its reliability to analyze soft biomaterials and organs has not been tested. Here, we evaluated the utility of nanoindentation to measure the passive mechanical properties of soft biological specimen. Kidney, liver, spleen and uterus samples were harvested from C57BL/6 N mice. We assessed test–retest repeatability in biological specimen and hydrogel controls using Bland–Altman diagrams, intraclass correlation coefficients (ICCs) and the within-subject coefficients of variation (COVs). The results were calculated using Hertzian, JKR and Oliver & Pharr models. Similar to hydrogels, Bland–Altman plots of all biological specimen showed good reliability in stiffness test and retest examinations. In gels, ICCs were larger than 0.8 and COVs were smaller than 15% in all three models. In kidney, liver, spleen and uterus, ICCs were consistently larger than 0.8 only in the Hertzian model but not in the JKR and Oliver & Pharr models. Similarly, COVs were consistently smaller than 15% in kidney, liver, spleen and uterus only in the Hertzian model but not in the other models. We conclude that nanoindentation technology is feasible in detecting the stiffness of kidney, liver, spleen and uterus. The Hertzian model is the preferred method to provide reliable results on ex vivo organ stiffness of the biological specimen under study.

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          Most cited references45

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          An improved technique for determining hardness and elastic modulus using load and displacement sensing indentation experiments

          The indentation load-displacement behavior of six materials tested with a Berkovich indenter has been carefully documented to establish an improved method for determining hardness and elastic modulus from indentation load-displacement data. The materials included fused silica, soda–lime glass, and single crystals of aluminum, tungsten, quartz, and sapphire. It is shown that the load–displacement curves during unloading in these materials are not linear, even in the initial stages, thereby suggesting that the flat punch approximation used so often in the analysis of unloading data is not entirely adequate. An analysis technique is presented that accounts for the curvature in the unloading data and provides a physically justifiable procedure for determining the depth which should be used in conjunction with the indenter shape function to establish the contact area at peak load. The hardnesses and elastic moduli of the six materials are computed using the analysis procedure and compared with values determined by independent means to assess the accuracy of the method. The results show that with good technique, moduli can be measured to within 5%.
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            STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

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              Measuring agreement in method comparison studies

              Agreement between two methods of clinical measurement can be quantified using the differences between observations made using the two methods on the same subjects. The 95% limits of agreement, estimated by mean difference +/- 1.96 standard deviation of the differences, provide an interval within which 95% of differences between measurements by the two methods are expected to lie. We describe how graphical methods can be used to investigate the assumptions of the method and we also give confidence intervals. We extend the basic approach to data where there is a relationship between difference and magnitude, both with a simple logarithmic transformation approach and a new, more general, regression approach. We discuss the importance of the repeatability of each method separately and compare an estimate of this to the limits of agreement. We extend the limits of agreement approach to data with repeated measurements, proposing new estimates for equal numbers of replicates by each method on each subject, for unequal numbers of replicates, and for replicated data collected in pairs, where the underlying value of the quantity being measured is changing. Finally, we describe a nonparametric approach to comparing methods.
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                Author and article information

                Contributors
                guanlin.wu@charite.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                2 November 2020
                2 November 2020
                2020
                : 10
                : 18784
                Affiliations
                [1 ]GRID grid.419491.0, ISNI 0000 0001 1014 0849, Max Delbrück Center for Molecular Medicine (MDC) in the Helmholtz Association, ; Robert-Rössle-Straße 10, 13125 Berlin, Germany
                [2 ]GRID grid.6363.0, ISNI 0000 0001 2218 4662, Experimental and Clinical Research Center (ECRC), , Charité–Universitätsmedizin Berlin, ; Berlin, Germany
                [3 ]GRID grid.452396.f, ISNI 0000 0004 5937 5237, German Center for Cardiovascular Research (DZHK), ; Partner Site Berlin, Berlin, Germany
                [4 ]GRID grid.5603.0, Department of Internal and Geriatric Medicine, University of Greifswald, , University District Hospital Wolgast, ; Greifswald, Germany
                [5 ]GRID grid.6363.0, ISNI 0000 0001 2218 4662, Medical Clinic of Nephrology and Internal Intensive Care, , Charité Universitätsmedizin Berlin, ; Berlin, Germany
                Article
                75738
                10.1038/s41598-020-75738-7
                7606463
                33139771
                c4d7d924-419b-476c-ac55-81b890897ece
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 August 2020
                : 19 October 2020
                Funding
                Funded by: Deutsche Forschungsgemeinschaft (DFG)
                Funded by: Projekt DEAL
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                nanobiotechnology,sensors and probes
                Uncategorized
                nanobiotechnology, sensors and probes

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