Controlling How Nanostructures Twist For the First Time

Biological sciences is a broad field of study encompassing many areas, including chiral structures such as DNA. Chirality is a mathematical notion that explains a structure's geometrical quality. Chirality is often reduced in chemical disciplines as a binary right or left feature of compounds, which does not completely convey the complexity of chiral forms.

Controlling How Nanostructures Twist For the First Time

Micron-scale bowties with candy-wrapper twists in a colorized electron microscope image. The ability to control the degree of twist in a curling, nanostructured material could be a useful new tool in chemistry and machine vision. Credit: Prashant Kumar, Kotov Lab, University of Michigan.

A recent article published in the journal Nature focuses on developing nanostructured particles with an anisotropic bowtie shape that displays a continuous range of chirality. These microparticles can be precisely tuned in various dimensions such as twist angle, width, pitch, length, and thickness.

Chirality Continuum

Chirality is an intriguing property that is present in various forms, from the macro to the molecular level. At the macro level, chiral geometries can be observed in the form of helical springs, which are often stretched to create coils of different lengths, also known as pitch.

On a smaller scale, such as in origami sheets, polymeric solids, and nanocomposites, chirality is more complex and continuously variable. On the molecular level, however, chirality is often regarded as a binary feature. Chiral compounds are either left- or right-handed, with binary stereochemical structures.

Creating continuously controllable chirality in chemical compounds would have far-reaching implications in domains such as chiral optoelectronics, chiral nanocomposites, biological separations, and chiral catalysts.

The accessibility of continuously varying chiral substances would aid in developing fundamental relationships between chirality measurements and chemical characteristics, which could lead to new materials with unique optical properties, more efficient separation processes, and improved catalytic processes.

Chiral Nanomaterials: A New Tool for Chemistry and Machine Vision

Controlling the degree of twist in nanostructured materials is an emerging technique that has the potential to revolutionize chemistry and machine vision. Chiral nanomaterials, which selectively reflect twisted light, have been notoriously difficult to produce.

Efforts to correlate optical activity with various chirality measures in traditional molecules have largely failed. Still, recent research suggests that chiral nanostructures and their assemblies, such as bowtie-shaped nanostructures, may hold promise because of  changes in the physics of chiroptical activity between them and binary chiral molecules.

The development of chiral nanomaterials could enable robots to navigate complex human environments with greater accuracy. Twisted structures encode information in the shapes of reflected light waves rather than in the two-dimensional arrangement of symbols found in most human-readable signs.

This technique takes advantage of an aspect of light known as polarization, which humans can barely sense. Twisted nanostructures preferentially reflect certain kinds of circularly polarized light, a shape that twists as it moves through space. This makes chiral metamaterials an exciting prospect for the future of machine vision and navigation.

Highlights of the Current Study

In this study, the researchers employed a hierarchical assembly process to create the micron-sized "bow ties" that involved interconnecting nanoribbons containing helical chains of cystine with cadmium ions.

The chirality of the cystine determined the handedness of the resulting bow ties, with left-handed cystine yielding left-handed bow ties and right-handed cystine yielding right-handed bow ties. Each bow tie had a candy-wrapper twist due to its unique shape.

By electrostatically restricting this assembly process, the researchers could synthesize bow ties with precise control over their pitch, width, thickness, and length. These bow ties were then mixed with polyacrylic acid and used as a sort of paint on various materials such as glass, fabric, plastic, and more.

To test the properties of the bow ties, the researchers conducted experiments using lasers to determine the reflection of twisted light from the bow ties, depending on the twist in the bow tie shape.

Important Findings and Prospects of the Research

Unlike other chiral nanostructures, which can take days to self-assemble, the bow ties formed in just 90 seconds. The team was able to produce an impressive 5,000 different shapes within the bow tie spectrum, indicating the high degree of control and reproducibility achievable with this assembly process.

The self-limited assembly of the bowties has several benefits, including high synthetic reproducibility, computational predictability, and size monodispersity of their geometries for different assembly conditions.

Not only do we know the progression from the atomic scale up to the micron-scale of the bow ties, but we also have theory and experiments that show us the guiding forces. With that fundamental understanding, you can design a bunch of other particles,” said Thi Vo, a co-author of the study.

In addition, the bow tie particles were found to have variable polarization rotation, making them useful for printing photonically active metasurfaces with spectrally tunable positive or negative polarization signatures. This property could have important applications in light detection and ranging (LIDAR) devices, among other areas.

Reference

Kumar, P. et al. (2023). Photonically active bowtie nanoassemblies with chirality continuum. Nature. https://doi.org/10.1038/s41586-023-05733-1

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Hussain Ahmed

Written by

Hussain Ahmed

Hussain graduated from Institute of Space Technology, Islamabad with Bachelors in Aerospace Engineering. During his studies, he worked on several research projects related to Aerospace Materials & Structures, Computational Fluid Dynamics, Nano-technology & Robotics. After graduating, he has been working as a freelance Aerospace Engineering consultant. He developed an interest in technical writing during sophomore year of his B.S degree and has wrote several research articles in different publications. During his free time, he enjoys writing poetry, watching movies and playing Football.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Ahmed, Hussain. (2023, March 28). Controlling How Nanostructures Twist For the First Time. AZoNano. Retrieved on July 19, 2024 from https://www.azonano.com/news.aspx?newsID=40162.

  • MLA

    Ahmed, Hussain. "Controlling How Nanostructures Twist For the First Time". AZoNano. 19 July 2024. <https://www.azonano.com/news.aspx?newsID=40162>.

  • Chicago

    Ahmed, Hussain. "Controlling How Nanostructures Twist For the First Time". AZoNano. https://www.azonano.com/news.aspx?newsID=40162. (accessed July 19, 2024).

  • Harvard

    Ahmed, Hussain. 2023. Controlling How Nanostructures Twist For the First Time. AZoNano, viewed 19 July 2024, https://www.azonano.com/news.aspx?newsID=40162.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.