Posted in | News | Optics and Photonics

Novel Photoacoustic Method for Isotopologues Simultaneous Detection

In an article published in the journal Analytical Chemistry, researchers reported the quasi-simultaneous measurement of 14NH3 and 15NH3 concentrations based on a near-infrared diode laser-based photoacoustic system.

Study: Development of a Near-Infrared Photoacoustic System for Selective, Fast, and Fully Automatized Detection of Isotopically Labeled Ammonia. Image Credit: chemical industry/Shutterstock.com

Haber-Bosch Process

The Haber-Bosch process, which produces industrial ammonia (NH3), contributes 1.2% of the world's CO2 emissions, making it a major climate change contributor. Therefore, it has become crucial for the scientific community to create new processes for ammonia production. In the last ten years, electrochemical nitrogen (N2) conversion to ammonia has gained popularity as a study area because it offers the potential to replace the energy- and environmentally-damaging Haber-Bosch process.

However, since this field is still in its infancy, the ammonia production rates are often quite low, making it easy for the observed levels to come from many sources of contamination (unstable N-containing compounds, N2 gas source, human breath, air, etc.).

Previous Studies

In recent studies, rigid isotopic labeling measures were included in investigations on converting nitrogen to ammonia. Surprisingly, it was discovered that the most active aqueous solution metallic catalysts did not produce any NH3. This finding shows that, when 14NH3 and N2 gases are present, NH3 detection alone is insufficient and that, in addition, 15NH3 detection is required. A technique like this may guard against false-positive findings while also revealing the existence of pollutants.

We need analytical techniques that can be linked in-line and offer (quasi-) real-time information on product generation to conduct mechanistic investigations with the requisite time resolution.

The isotopologues of NH3 (14NH3 and 15NH3) are often utilized in physiology's metabolic tracing investigations, which aid in identifying the cell's primary biosynthetic routes. Environmental monitoring, including industrial process control and exhaust gas measurement, is yet another essential use (e.g., propulsion, pharmaceutical, and chemical).

PA Detection Method

Photoacoustic detection enables the in situ and nondestructive measurement of isotopes. A potent method to assess concentrations at low levels is photoacoustic spectroscopy. In a photoacoustic detector, molecular absorption of modulated optical light in gases, liquids, and solids results in the generation of acoustic pressure waves recorded by a microphone. In gases, the relationship between the produced sound's amplitude and the concentration of the absorbed gas component is direct.

How the Study was Conducted

By using a near-infrared photoacoustic (NIR-PA) system, this study intended to establish a relatively simple but reliable, completely autonomous, and a durable system for the selective, quick, and sensitive detection of ammonia isotopes.

Previously, there was just one study on measuring 14NH3 and 15NH3 selectively, and the photoacoustic technique effectively estimates NH3 concentration in general. This work outlines a newly designed photoacoustic approach for the quick and simple simultaneous detection of 14NH3 and 15NH3 isotopologues.

Components of Gas Production System

The gas production system was used to carry out spectral measurements, calibrations, cross-sensitivity analyses, and response time studies. The two primary components of the gas production system include the NIR-PA system, run either by an external cavity diode laser (ECDL) or a distributed feedback (DFB) diode laser, and the ammonia gas generating unit, which produces different combinations of 14NH3 and 15NH3.

Modes of Gas Producing Unit

The gas-producing unit was operated in either a mass-flow controller mixing mode or a mode based on chemical reactions. The system's chemical reaction component is skipped in the first mode of operation, and the gases from two cylinders are combined using precise mass-flow controls.

For the chemical reaction-based producing mode, a nitrogen cylinder was used to purify the gas mixture created in the system's chemical reaction part through the photoacoustic cell.

The photoacoustic spectra of the 14NH3 and 15NH3 isotopologues were obtained using gas samples from gas cylinders and the chemical reaction, respectively. Measurement wavelength optimization started by utilizing an ECDL to record the photoacoustic spectra of the two isotopologues and water vapor.

The operating software of the NIR-PA system separates the collected photoacoustic signals into two values, PA14 and PA15, with a high sensitivity to the isotopes 14NH3 and 15NH3 and a low cross-sensitivity to water vapor after measuring at each of the selected wavelengths.

Conclusion

The researchers developed a photoacoustic system based on a DFB diode laser for the sensitive, precise and rapid detection of isotopically tagged NH3.

The measurement wavelengths of the isotopologues that are among the strongest in the intended wavelength range and lie sufficiently near one another were selected to construct the system operating software so that a concentration measurement cycle could be completed in less than a second. This made it possible to fully use the photoacoustic detection method's innately rapid response even in challenging circumstances.

Due to its short response time, robustness, and high sensitivity, the system is projected in various real-world applications, from electrocatalytic N2 production to biological research.

Reference

Emily Awuor Ouma, Helga Huszár, László Horváth, Gábor Szabó, Csaba Janáky, and Zoltán Bozóki (2022) Development of a Near-Infrared Photoacoustic System for Selective, Fast, and Fully Automatized Detection of Isotopically Labeled Ammonia. Analytical Chemistry. https://pubs.acs.org/doi/10.1021/acs.analchem.2c01191

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.

Taha Khan

Written by

Taha Khan

Taha graduated from HITEC University Taxila with a Bachelors in Mechanical Engineering. During his studies, he worked on several research projects related to Mechanics of Materials, Machine Design, Heat and Mass Transfer, and Robotics. After graduating, Taha worked as a Research Executive for 2 years at an IT company (Immentia). He has also worked as a freelance content creator at Lancerhop. In the meantime, Taha did his NEBOSH IGC certification and expanded his career opportunities.  

Citations

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

  • APA

    Khan, Taha. (2022, October 05). Novel Photoacoustic Method for Isotopologues Simultaneous Detection. AZoOptics. Retrieved on November 22, 2024 from https://www.azooptics.com/News.aspx?newsID=27993.

  • MLA

    Khan, Taha. "Novel Photoacoustic Method for Isotopologues Simultaneous Detection". AZoOptics. 22 November 2024. <https://www.azooptics.com/News.aspx?newsID=27993>.

  • Chicago

    Khan, Taha. "Novel Photoacoustic Method for Isotopologues Simultaneous Detection". AZoOptics. https://www.azooptics.com/News.aspx?newsID=27993. (accessed November 22, 2024).

  • Harvard

    Khan, Taha. 2022. Novel Photoacoustic Method for Isotopologues Simultaneous Detection. AZoOptics, viewed 22 November 2024, https://www.azooptics.com/News.aspx?newsID=27993.

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.