Posted in | News | Quantum Dots

Colloidal Quantum-Dot Upconverters Out-Performance Existing Reports

In recent years, the conversion of low-energy infrared photons to higher-energy visible light photons via infrared-to-visible upconverters has attracted a great deal of scientific interest. However, conventional upconverters have restricted detection wavelengths, high baseline infrared energy, and poor photon-to-photon effectiveness.

Colloidal Quantum-Dot Upconverters Out-Performance Existing Reports

​​​​​​​​​​​​​​Study: Ultrasensitive Colloidal Quantum-Dot Upconverters for Extended Short-Wave Infrared. Image Credit: Alexey Godzenko/Shutterstock.com

A recent study published in the journal ACS Applied Materials & Interfaces addresses this issue by developing a colloidal quantum dots upconverter with enhanced short-wave infrared conversion capabilities.

What is Infrared-to-Visible Upconversion?

Photon upconversion transforms two or more low-energy photons into a photon with greater energy. Effective upconversion of infrared photons to visible photons could have a variety of applications such as sub-bandgap stimulation of devices for photovoltaics and infrared sensing, deep-tissue biomedical imaging, neuroimaging, and three-dimensional projections.

Several of these applications would profit from effective upconversion at low optical stimulation intensities, with an adjustable response across a wide exposure and emission spectrum.

An upconverter avoids the need for complex processing stages like pixelation, indium bump development, and flip-bonding, hence providing a possible path for realizing high-resolution, low-cost infrared images.

Early investigations of upconversion are based on techniques in which two photons produce a single high-energy photon through triplet-triplet annihilation, two-photon absorbance, and rare-earth photon transformation.

According to these findings, small organic compounds that experience two-photon absorption or triplet-triplet annihilation may deliver promising outcomes in upconversion applications with moderate excitation intensities.

Challenges Associated with Infrared-to-Visible Upconversion

These processes are confined to visible-to-visible photon upconversion, while infrared-to-visible photon upconversion is still limited to incident waves of shorter wavelengths.

Many infrared-to-visible upconverters are built using inorganic or organic infrared-emitting substances, which results in several challenges, including lattice incompatibility concerns, expensive production techniques, and poor optical absorbance. Consequently, the first obstacle is the selection of substances having tuneable band gaps over a broad range of wavelengths. Nanomaterials such as colloidal quantum dots may be highly useful in this respect.

Upconversion devices comprised of infrared photodetectors (PDs) and visual light-emitting diodes (LEDs) can help circumvent spectral range limitations by transforming infrared photons with longer wavelengths.

In addition, current infrared-to-visible upconverters work only under strong infrared radiations with high power, usually working under the infrared power density, and the majority of them have a photon-to-photon efficiency of around 1%. In the field of infrared-to-visible upconversion, creating a suitable approach for increasing the performance of upconversion devices continues to be a significant problem.

Colloidal Quantum Dots for Upconversion Applications

Colloidal quantum dots are nanoscale semiconductor crystals whose dispersal in liquids is enabled by surface ligands. These colloidal quantum dots could be incorporated into electronics utilizing solutions-based assembly techniques.

Colloidal quantum dots (CQDs) appear to be viable replacements for traditional organic/inorganic substances in upconversion applications. Colloidal quantum dots with size-tunable band gaps have been employed extensively in the photodetection and light emission sectors, the two primary photonic transition mechanisms of infrared-to-visible upconverters.

Colloidal quantum dots may also be employed as infrared detecting and visible emitting substances because of their small spectrum bandwidths and good luminescence quantum efficiency.

In addition, the variability of voltage and luminance of LEDs based on colloidal quantum dots is not linear. Allowing colloidal quantum dots to operate in an appropriate bias voltage spectrum in which the fluctuation of luminance with voltage is highest is crucial to developing high-performance upconverters.

Highlights and Key Developments of the Current Study

In this work, mercury telluride colloidal quantum dots were employed as infrared detection substances for enhanced short-wave infrared (SWIR) upconversion. The impedance area components of the mercury telluride-based photodetector were tuned to ideally match the working voltage levels of the LEDs made of colloidal quantum dots to achieve excellent upconversion efficiency.

The photoactive colloidal quantum dots upconverter produced a high degree of luminance change, resulting in a low minimum measurable infrared power. In addition, the as-prepared colloidal quantum dots upconverter exhibited ultra sensitivity with an extremely low detection limit and almost 30% photon-to-photon (p-p) efficiency.

This infrared-to-visible p-p efficiency is the determining factor for assessing the effectiveness of upconversion systems based on colloidal quantum dots. The p-p upconversion effectiveness is determined by the number of visible light photons released in the presence of infrared light by the colloidal quantum dots upconverter.

Based on these results, it is reasonable to conclude that the colloidal quantum dots replacing traditional organic/inorganic substances and the optimal matching method of PDs and LEDs provide a viable solution to long-standing issues in upconversion systems.

Reference​​​​​​​

Mu, G. et al. (2022). Ultrasensitive Colloidal Quantum-Dot Upconverters for Extended Short-Wave Infrared. ACS Applied Materials & Interfaces. Available at: https://pubs.acs.org/doi/10.1021/acsami.2c12002

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. (2022, September 29). Colloidal Quantum-Dot Upconverters Out-Performance Existing Reports. AZoNano. Retrieved on November 21, 2024 from https://www.azonano.com/news.aspx?newsID=39742.

  • MLA

    Ahmed, Hussain. "Colloidal Quantum-Dot Upconverters Out-Performance Existing Reports". AZoNano. 21 November 2024. <https://www.azonano.com/news.aspx?newsID=39742>.

  • Chicago

    Ahmed, Hussain. "Colloidal Quantum-Dot Upconverters Out-Performance Existing Reports". AZoNano. https://www.azonano.com/news.aspx?newsID=39742. (accessed November 21, 2024).

  • Harvard

    Ahmed, Hussain. 2022. Colloidal Quantum-Dot Upconverters Out-Performance Existing Reports. AZoNano, viewed 21 November 2024, https://www.azonano.com/news.aspx?newsID=39742.

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.