Over millions of years, nature has created complex hierarchical structures with exceptional mechanical properties. The nacre of various seashells is an example of such structures, which is formed out of a mainly inorganic mineral with organic material inclusions in a layered arrangement. Due to its high impact-resisting mechanical properties, these structures have been widely investigated and mimicked in artificial nacre-type composite materials. The artificial creation of nacre analogues for future applications requires an accurate understanding of their mechanical properties on the length scale of the nanoscale composite components. Here, we present an in-depth AFM study of the mechanical properties of Pāua nacre (Haliotis iris, 'rainbow abalone') and quantify the elastic modulus as well as related energy scales of both its main nanoscale constituents. We use AFM-based nano-indentation compared to standard micro/nano-indentation, which enables the direct determination of the mechanical properties of the biopolymer layer in nacre, including plastic and elastic energies during indentation. By combining three different AFM-based mechanical characterization methods we affirm the quantitativeness of our mechanical measurements and show that the organic layers have about half the elastic modulus of the inorganic aragonite regions. The obtained results reveal the detailed mechanical properties of the hierarchical structure of nacre and provide a strategy for accurately testing nanoscale mechanical properties of advanced composite materials.

Download full-text PDF

Source
http://dx.doi.org/10.1039/d1nr03469cDOI Listing

Publication Analysis

Top Keywords

mechanical properties
32
mechanical
10
nanoscale mechanical
8
properties
8
properties pāua
8
pāua nacre
8
composite materials
8
elastic modulus
8
nacre
6
in-depth atomic
4

Similar Publications

Construction of Supramolecular Polymer Network Elastomers Based on Pillar[5]arene/Alkyl Chain Host-Guest Interactions.

ACS Macro Lett

January 2025

Key Laboratory of Materials Chemistry for Energy Conversion and Storage, Ministry of Education, Hubei Key Laboratory of Materials Chemistry and Service Failure, Hubei Engineering Research Center for Biomaterials and Medical Protective Materials, State Key Laboratory of Materials Processing and Die & Mould Technology, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.

As a special kind of supramolecular compound with many favorable properties, pillar[]arene-based supramolecular polymer networks (SPNs) show potential application in many fields. Although we have come a long way using pillar[]arene to prepare SPNs and construct a series of smart materials, it remains a challenge to enhance the mechanical strength of pillar[]arene-based SPNs. To address this issue, a new supramolecular regulation strategy was developed, which could precisely control the preparation of pillar[]arene-based SPN materials with excellent mechanical properties by adjusting the polymer network structures.

View Article and Find Full Text PDF

EOSnet: Embedded Overlap Structures for Graph Neural Networks in Predicting Material Properties.

J Phys Chem Lett

January 2025

Department of Physics, Rutgers University, Newark, New Jersey 07102, United States of America.

Graph Neural Networks (GNNs) have emerged as powerful tools for predicting material properties, yet they often struggle to capture many-body interactions and require extensive manual feature engineering. Here, we present EOSnet (Embedded Overlap Structures for Graph Neural Networks), a novel approach that addresses these limitations by incorporating Gaussian Overlap Matrix (GOM) fingerprints as node features within the GNN architecture. Unlike models that rely on explicit angular terms or human-engineered features, EOSnet efficiently encodes many-body interactions through orbital overlap matrices, providing a rotationally invariant and transferable representation of atomic environments.

View Article and Find Full Text PDF

Soft and stretchable strain sensors are crucial for applications in human-machine interfaces, flexible robotics, and electronic skin. Among these, capacitive strain sensors are widely used and studied; however, they face challenges due to material and structural constraints, such as low baseline capacitance and susceptibility to external interference, which result in low signal-to-noise ratios and poor stability. To address these issues, we propose a U-shaped electrode flexible strain sensor based on liquid metal elastomer (LME).

View Article and Find Full Text PDF

Binuclear ruthenium complexes have been investigated for potential DNA-targeted therapeutic and diagnostic applications. Studies of DNA threading intercalation, in which DNA base pairs must be broken for intercalation, have revealed means of optimizing a model binuclear ruthenium complex to obtain reversible DNA-ligand assemblies with the desired properties of high affinity and slow kinetics. Here, we used single-molecule force spectroscopy to study a binuclear ruthenium complex with a longer semi-rigid linker relative to the model complex.

View Article and Find Full Text PDF

Radiofrequency ablation (RFA) is a minimally invasive procedure that utilizes localized heat to treat tumors by inducing localized tissue thermal damage. The present study aimed to evaluate the temperature evolution and spatial distribution, ablation size, and reproducibility of ablation zones in ex vivo liver, kidney, and lung using a commercial device, i.e.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!