Posted in | News | Spectroscopy

Gas Detection Using Enrichment-Enhanced Photoacoustic Spectroscopy

In a recent article published in Sensors and Actuators B: Chemical, researchers introduced an innovative method called enrichment-enhanced photoacoustic spectroscopy (PAS). This technique improves the gas detection sensitivity of PAS by using vertical graphene (VG) as an enrichment material.

Image Credit: Rabbitmindphoto/Shutterstock.com

The study explored VG's potential to improve the detection limit of nitric oxide (NO) in gas mixtures, aiming to create a more sensitive and accurate system for air pollution monitoring and non-invasive medical diagnosis.

Background

Gas detection is critical for air quality monitoring, environmental protection, industrial safety, and medical diagnosis. Among traditional gas detection methods, such as electrochemical sensors, semiconductor sensors, gas chromatography, and optical techniques, optical methods are getting attention due to their high sensitivity, quick response, and real-time capabilities.

PAS is a widely used optical technique for detecting gases. It measures sound waves produced when modulated light is absorbed by gas molecules. The strength of the PAS signal depends on both the light power and gas concentration.

However, boosting light power can lead to detector saturation or damage, and increasing gas concentration may be impractical. Therefore, enhancing gas concentration before it reaches the PAS sensor is essential for improving detection sensitivity.

What is Photoacoustic Spectroscopy?

About the Research

The authors proposed a novel method utilizing VG as an enrichment material to enhance the concentration of gas samples before they reach the PAS sensor. VG consists of graphene nanosheets oriented perpendicularly to a substrate, forming a dense, forest-like structure. VG's large surface area and high chemical reactivity make it suitable for absorbing and desorbing gas molecules.

The researchers designed an enrichment cell with VG and integrated it with a PAS sensor specifically for NO detection, a harmful gas that can cause air pollution and various diseases.

The enrichment cell was equipped with a heating system and valves to control gas flow and operated through three phases: refresh, enrichment, and measuring. During the refresh phase, VG adsorbed NO molecules from a gas mixture. In the enrichment phase, the VG was heated to 150 °C to release NO, increasing its concentration in the cell. In the measuring phase, this enriched gas mixture was sent to the PAS sensor for detection.

For the PAS sensor, the study employed a distributed feedback quantum cascade laser (DFB-QCL) with a wavelength of 5263 nm as the excitation light source. This laser was precisely tuned to the NO absorption line at 1900.08 cm⁻¹.

Using the 2f wavelength modulation spectroscopy (2f-WMS) technique, the researchers reconstructed the NO absorption line and demodulated the PAS signal. The differential photoacoustic cell, equipped with two microphones, measured the resulting sound waves.

Research Findings

The authors optimized the laser current's modulation depth to maximize the PAS signal. They found that the optimal modulation depth was 14 mA. They also tested the repeatability and consistency of the enrichment process by conducting three measurements under identical conditions. During the measuring phase, the PAS signal increased compared to the refresh and enrichment phases, demonstrating the enrichment method's effectiveness.

To evaluate the sensor's performance, the researchers assessed the PAS sensor's linearity and sensitivity with and without enrichment. They used a gas dilution system to prepare various NO concentrations ranging from 0 to 1000 parts per billion (ppb).

The results showed a linear relationship between the PAS signal and NO concentration in both scenarios. However, with the enrichment method, the sensor's sensitivity improved by an order of magnitude. The minimum detection limit of the PAS sensor was 14 ppb without enrichment and 1.3 ppb with enrichment, a record value for NO detection using PAS-based techniques.

Applications

The proposed enrichment-enhanced PAS method can be extended to detect other trace gasses that VG can adsorb and desorb, such as carbon monoxide, hydrogen sulfide, ammonia, and volatile organic compounds.

Additionally, this method can be integrated with other PAS-based techniques, like quartz-enhanced PAS and cantilever-enhanced PAS, to further enhance detection performance.

This versatile approach holds potential for various fields requiring high-sensitivity gas detection, including environmental monitoring, industrial process control, biomedical diagnosis, and security.

Conclusion

In summary, the novel approach of using VG significantly enhanced the detection sensitivity of PAS, achieving a detection limit of 1.3 ppb. This method is simple, robust, and versatile, with potential applications for detecting various gas species and integrating with other PAS-based techniques.

The authors suggested further optimizing the enrichment cell design and the heating system to expand its use for detecting additional gasses.

Journal Reference

Feng, C., et, al. (2024). Enrichment-enhanced photoacoustic spectroscopy based on vertical graphene. Sensors and Actuators B: Chemical. DOI: 10.1016/j.snb.2024.13620

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.

Muhammad Osama

Written by

Muhammad Osama

Muhammad Osama is a full-time data analytics consultant and freelance technical writer based in Delhi, India. He specializes in transforming complex technical concepts into accessible content. He has a Bachelor of Technology in Mechanical Engineering with specialization in AI & Robotics from Galgotias University, India, and he has extensive experience in technical content writing, data science and analytics, and artificial intelligence.

Citations

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

  • APA

    Osama, Muhammad. (2024, July 09). Gas Detection Using Enrichment-Enhanced Photoacoustic Spectroscopy. AZoOptics. Retrieved on November 21, 2024 from https://www.azooptics.com/News.aspx?newsID=28841.

  • MLA

    Osama, Muhammad. "Gas Detection Using Enrichment-Enhanced Photoacoustic Spectroscopy". AZoOptics. 21 November 2024. <https://www.azooptics.com/News.aspx?newsID=28841>.

  • Chicago

    Osama, Muhammad. "Gas Detection Using Enrichment-Enhanced Photoacoustic Spectroscopy". AZoOptics. https://www.azooptics.com/News.aspx?newsID=28841. (accessed November 21, 2024).

  • Harvard

    Osama, Muhammad. 2024. Gas Detection Using Enrichment-Enhanced Photoacoustic Spectroscopy. AZoOptics, viewed 21 November 2024, https://www.azooptics.com/News.aspx?newsID=28841.

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.