Posted in | News | Graphene

Laying the Groundwork for Future Environmental Risk Assessments of Graphene

Since their initial isolation, graphene sheets have been utilized across a broad range of industries. However, substantial research is required to investigate the possible environmental dangers of graphene-based materials (GBMs) as their industrial demand increases.

Laying the Groundwork for Future Environmental Risk Assessments of Graphene

​​​​​​​Study: Prospective Dynamic and Probabilistic Material Flow Analysis of Graphene-Based Materials in Europe from 2004 to 2030. Image Credit:Hong, H. et al. Environ. Sci. Technol. (2022)​​​

A recent study published in Environmental Science & Technology addresses this issue by offering a preliminary evaluation of graphene's environmental concerns through dynamic probabilistic material flow analysis (DPMFA).

Graphene: The Material of the 21st Century

Graphene is a unique material made of a one-atom-thick honeycomb-patterned layer of carbon. Graphene is thought to be the world's thinnest, toughest, and most conductive substance. Many global research organizations are excited about graphene's characteristics because it can transform entire industries.

Graphene is the strongest substance on the planet and may be utilized to improve the strength of other materials. Many studies have shown that even a minute quantity of graphene added to polymers or metals may significantly increase their strength. These graphene-enhanced composite materials have potential applications in aerospace, construction materials, mobile electronics, and various other fields.

Graphene is employed in many commercial applications, including lightweight materials, conducting inks, anti-corrosion paints, and biomedical sensors, because of its high thermal conductance and electron affinity. Moreover, the high surface-area-to-volume ratio of graphene makes it a potential material for many energy storage applications like batteries and supercapacitors.

Environmental Concerns Associated With Graphene

The number of studies and publications involving graphene has expanded quickly due to its potential in various applications. This is projected to accelerate in the coming years due to rapid growth in graphene exploration, enhanced industrial manufacturing capability, and decreased manufacturing prices.

However, the rapidly expanding graphene usage has sparked widespread concerns about its possible environmental consequences. When new technologies emerge quickly, progress toward appropriate governance typically lags. The safe and sustainable design (SSbD) approach tries to remedy such gaps by introducing safety concerns in a preliminary phase of the product development framework.

In this regard, environmental risk evaluations of graphene based on the SSbD technique are crucial since many graphene products are still in the early phases of their development.

Life-Cycle Assessment of Graphene-Based Materials

Life cycle assessment (LCA) is a suitable method for determining the environmental risk of products and substances from the development and production phase through use and disposal.

It has been widely reported that as the volume of graphene production grows from the experimental and prototype studies to the industrial level, the cumulative environmental implications are projected to diminish. Graphene is not yet seen as a serious environmental risk by most life-cycle analytics.

Although life cycle assessment (LCA) is a valuable technique for analyzing ecological impacts, its application to synthetic nanomaterials such as graphene still has many limitations owing to a lack of life-cycle inventory statistics and nano-specific characterization parameters for toxicity-related consequences.

A Novel Approach for Environmental Risk Assessment of Graphene

Another approach for analyzing the ecological implications of substances is environmental risk analysis. Several ecotoxicity investigations on graphene have shown that it is hazardous to a variety of creatures, including bacteria, plants, and animals.

Material flow analysis (MFA) is a well-established approach for analyzing product flow and stocks across their life cycles. However, MFA lacks the crucial probabilistic features of a material's life cycle. Dynamic probabilistic material flow analysis (DPMFA) was created to address this issue and take into account the fluctuations in material production rates.

Given the scarcity of data on environmental fluxes and the vulnerability of graphene, the current study established a foundation for future environmental risk evaluations of graphene by predicting its distribution and determining projected release quantities in various environmental situations.

Highlights of the Study and Future Outlook

The current study was the first to simulate and quantify graphene release quantities into the ecosystem. Even though graphene production is predicted to rise rapidly in the future years, outflow from graphene utilization exhibited only a modestly positive trend owing to its long lifespan and the substantial in-use stock of graphene applications.

However, the analytical methods utilized to measure and differentiate synthetic nanomaterials from organic nanomaterials are inadequate. As a result, it is currently difficult to validate the release model of graphene used in this research.

Based on the above considerations, the findings of this research should be interpreted with care, although they may be useful for estimating realistic graphene concentrations in the future.

Reference

Hong, H. et al. (2022). Prospective Dynamic and Probabilistic Material Flow Analysis of Graphene-Based Materials in Europe from 2004 to 2030. Environmental Science & Technology. Available at: https://pubs.acs.org/doi/10.1021/acs.est.2c04002

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). Laying the Groundwork for Future Environmental Risk Assessments of Graphene. AZoNano. Retrieved on November 21, 2024 from https://www.azonano.com/news.aspx?newsID=39738.

  • MLA

    Ahmed, Hussain. "Laying the Groundwork for Future Environmental Risk Assessments of Graphene". AZoNano. 21 November 2024. <https://www.azonano.com/news.aspx?newsID=39738>.

  • Chicago

    Ahmed, Hussain. "Laying the Groundwork for Future Environmental Risk Assessments of Graphene". AZoNano. https://www.azonano.com/news.aspx?newsID=39738. (accessed November 21, 2024).

  • Harvard

    Ahmed, Hussain. 2022. Laying the Groundwork for Future Environmental Risk Assessments of Graphene. AZoNano, viewed 21 November 2024, https://www.azonano.com/news.aspx?newsID=39738.

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.