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Zigzag-Shaped Silver Nanoplates: Synthesis via Ostwald Ripening and Their Application in Highly Sensitive Strain Sensors.

A new interesting article has been published in ACS Appl Mater Interfaces. 2018 Oct 22. doi: 10.1021/acsami.8b11322. [Epub ahead of print] and titled:

Zigzag-Shaped Silver Nanoplates: Synthesis via Ostwald Ripening and Their Application in Highly Sensitive Strain Sensors.

Authors of this article are:

Kim J, Lee SW, Kim MH, Park OO.

A summary of the article is shown below:

Zigzag-shaped Ag nanoplates display unique anisotropic planar structures with unusual jagged edges and relatively large lateral dimensions. These characteristics make such nanoplates promising candidates for metal inks in printed electronics, which can be used for realizing stretchable electrodes. In the current work, we used a one-pot coordination-based synthetic strategy to synthesize zigzag-shaped Ag nanoplates. In the synthetic procedure, cyanuric acid was used both as a ligand of the Ag+ ion, hence producing complex structures and controlling the kinetics of the reduction of the cation, and as a capping agent that promoted the lateral growth of the Ag nanoplates. Hence, cyanuric acid played a crucial role in the formation of zigzag-shaped nanoplates. In contrast to previous studies that reported oriented attachment to be the predominant mechanism responsible for the growth of zigzag-shaped nanoplates, Ostwald ripening was the dominant growth mechanism in the current work. Our findings on the particle morphology and crystalline structure of the Ag nanoplates motivated us to use them as conductive materials for stretchable strain sensors. Strain sensors based on nanocomposites of our zigzag-shaped Ag nanoplate and polydimethylsiloxane (PDMS) in the form of a sandwich structure were successfully produced by following a simple, low-cost and solution-processable method. The strain sensors exhibited extremely high sensitivity (gauge factor ≈ 2,000), high stretchability with a linear response (≈ 27%), and high reliability, all of which allowed the sensor to monitor diverse human motions, including joint movement and phonation.

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