Posted in | News | Graphene

Lightweight Graphene Filter to Block Airborne Nanoparticles

The primary function of personal protection equipment (PPE), including facemasks and gloves, is to filter out nanoparticulate aerosols, which are present in the air.

Lightweight Graphene Filter to Block Airborne Nanoparticles​​​​​​​

​​​​​​​Study: Nanoporous Atomically Thin Graphene Filters for Nanoscale Aerosols. Image Credit: Mopic/Shutterstock.com

PPE is widely used in medical research, law enforcement, healthcare, and military applications. Conventional PPEs can only filter nanoparticles whose size is above 300 nm and fails to block harmful nanoparticulate aerosols (e.g., virus), which are around 20-300 nm in size. 

Recently, scientists developed a lightweight and ultra-compact atomically thin graphene-based filter that can block aerosolized nanoparticles of size in the sub-20 nm range. This study is available in ACS Applied Materials and Interfaces.

Conventional System of Filtering Airborne Nanoparticles

Nanoparticulate aerosols contain toxins, pollutants, and harmful viruses, e.g., influenza virus, coronavirus, and rhinovirus, whose size varies between 20 and 300 nm in diameter. Although conventional air filters, such as 95% efficiency filter (N95) and the high-efficiency particulate air filter (HEPA), exhibit superior air flow rates, they are unable to inhibit nanoparticulate aerosols whose size is less than 300 nm.

Facemasks that can block nanoparticulate aerosols of size below 300 nm are bulky and develop thermal stress due to low breathability. To improve the applicability of PPEs, several strategies are implemented that focus on making porous polymers, with greater thickness, which can filter out nanoparticulate aerosol toxins, pathogens, and pollutants. Two of the major disadvantages of this approach are the inability to provide long-term protection due to inevitable leakages and low breathability owing to the high thickness.

The breathability of conventional polymeric materials has been improved via the introduction of porosity and the development of reactive organic or inorganic composite materials that can inactivate pathogens and degrade harmful substances. Some of the other techniques implemented to improve breathability are the introduction of non-woven materials and the development of hollow fiber membranes via spinning polymer methods.

Nanomaterial Based Filters with Improved Breathability and Filtering Capacity

Fabrication of membranes using nanomaterials, such as vertically aligned carbon nanotubes (CNTs), has led to improved breathability and blockage of nanoparticulate aerosols with a diameter of less than 3 nm. Nevertheless, scientists face challenges in tuning CNT diameters to target specific aerosolized nanoparticulates.

Graphene is an allotrope of carbon with atomic thinness, chemical robustness, superior mechanical strength, and high nanopore density. This material aids in size-selective separation owing to greater tunability. Recently, scientists demonstrated a new strategy to fabricate atomically thin, nanoporous graphene membranes for filtering airborne nanoparticulate of size between 5 and 20 nm with greater airflow i.e., around 7.12 × 10−5 mol m−2 s −1 Pa−1.

The newly synthesized monolayer graphene on copper (Cu) foil, via the chemical vapor deposition (CVD) method, was transferred onto polycarbonate track-etch (PCTE) membrane support containing pores of approximately 200 nm in size. Scanning electron microscopy (SEM) images revealed that synthesized graphene on Cu foil was wrinkled, indicating a continuous graphene layer. Raman spectroscopy with characteristic graphene peak confirms the synthesis of high-quality monolayer graphene film. Analysis of graphene placed on PCTE support via SEM showed that most PCTE pores contained graphene.

Large tears that appeared were mended through the interfacial polymerization (IP) technique. The PCTE support with well-defined cylindrical geometry could seal tears in the graphene layer. It also sealed other macroscopic defects. Post IP, nanopores were introduced through the facile plasma etch of the graphene lattice. These nanopores were characterized to estimate the diffusion-driven flow of ions and molecules, whose sizes ranged between 0.66 nm and 4 nm.

Finally, graphene membranes were mounted in the specially designed setup to determine their performance in filtering aerosol nanoparticles using the silicon dioxide (SiO2) nanoparticle model. The mechanical stability of the membrane was provided by a perforated steel plate. The current study strongly emphasized that a higher air permeability can be offered through an increment in the support pore diameter and support porosity, along with a decrease in the support thickness.

Experimental findings revealed that single-layer graphene on PCTE supports could withstand a pressure difference of up to 100 bars. Nanopore introduced via facile oxygen plasma etch facilitated an increase in the rate of change of pressure values to 3.50 mTorr/s (60 seconds of etch time) and 8.78 mTorr/s (90 seconds of etch times). Further increase in the oxygen plasma time elevated the rate of pressure change until it reached 13.11 mTorr/s in 180 seconds of etch time.

Utilization of SiO2 Nanoparticles Model to Determine the Efficacy of Graphene Filter

Silica aerosols were selected because they are solid spheres with a narrow size distribution. A low concentration of SiO2 nanoparticles was used to exclude the formation of a coating on the graphene filter. Importantly, the rate of change of pressure remained unchanged before and after testing with 5 nm SiO2 nanoparticles.

The graphene filter subjected to 60 seconds of etching showed a distinct change in the rate of pressure, which could be due to the formation of blockage by the nanoparticles. This finding suggested the filtering of aerosolized nanoparticles whose sizes were around 5 nm.

The newly developed compact, lightweight, atomically thin graphene filter can block smaller nanoparticles more effectively and can be applied in medical research, space, healthcare, and beyond.

Reference​​​​​​

Cheng, P. et al. (2022) Nanoporous Atomically Thin Graphene Filters for Nanoscale Aerosols. ACS Applied Materials and Interfaces.  https://pubs.acs.org/doi/10.1021/acsami.2c10827

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.

Dr. Priyom Bose

Written by

Dr. Priyom Bose

Priyom holds a Ph.D. in Plant Biology and Biotechnology from the University of Madras, India. She is an active researcher and an experienced science writer. Priyom has also co-authored several original research articles that have been published in reputed peer-reviewed journals. She is also an avid reader and an amateur photographer.

Citations

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

  • APA

    Bose, Priyom. (2022, September 01). Lightweight Graphene Filter to Block Airborne Nanoparticles. AZoNano. Retrieved on October 08, 2024 from https://www.azonano.com/news.aspx?newsID=39624.

  • MLA

    Bose, Priyom. "Lightweight Graphene Filter to Block Airborne Nanoparticles". AZoNano. 08 October 2024. <https://www.azonano.com/news.aspx?newsID=39624>.

  • Chicago

    Bose, Priyom. "Lightweight Graphene Filter to Block Airborne Nanoparticles". AZoNano. https://www.azonano.com/news.aspx?newsID=39624. (accessed October 08, 2024).

  • Harvard

    Bose, Priyom. 2022. Lightweight Graphene Filter to Block Airborne Nanoparticles. AZoNano, viewed 08 October 2024, https://www.azonano.com/news.aspx?newsID=39624.

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.