ºÚÁÏÍø

News

Waste not: A new electrochemical method to recover noble metals as particles

In the pursuit of a more sustainable economy, the EARMetal process innovates with electrochemistry to efficiently recover noble metals from complex production solutions, potentially reducing environmental impacts and streamlining metal retrieval

One of the primary challenges in building a more sustainable economy is increasing the efficiency with which we utilize our resources. For instance, the field of metals production is evolving to address the depletion of high-grade raw materials and to mitigate their environmental impact. As a result, developing methods that can efficiently deal with complex raw materials containing valuable metals, often with varying concentrations, holds paramount importance. If these new processes can be powered by green electricity rather than relying on fossil fuel, the overall environmental impact of the processing could be significantly lowered.

To achieve this goal, the EARMetal project aims to devise an efficient and selective approach to recover noble metals from complex metal production solutions using electrochemistry. The process, referred to as EAR (electrochemically assisted aqueous reduction), capitalizes on the tendency of noble metals to undergo reduction by less noble metal ions present in the solution. In the paper, recently published in the Journal of Physical Chemistry, the recovery of gold was successfully demonstrated from a solution containing notably higher concentrations of copper than the intended target metal, which is gold. Moreover, gold was retrieved in the form of nanoparticles, and so the process could be used to prepare functional surfaces directly. Hence, this approach aims to avoid all the additional refining and transportations steps typically associated with the more conventional routes of making nanoparticle functionalized materials.

An intriguing challenge with this project was its interdisciplinary nature, combining metals recovery with functional surface synthesis. Integrating these two aspects into a coherent whole that is both engaging and comprehensible in both fields required many numerous iterations.

The article was published in (Reima Herrala, Zulin Wang, Jaana Vapaavuori, Mari Lundström, and Kirsi Yliniemi).

About the author: Reima Herrala is conducting research for his PhD in two distinctive research groups - Multifunctional Materials Design and Hydrometallurgy and Corrosion. His areas of expertise include the electrochemistry of metals, noble metal nanoparticles, electrospinning, and carbon fibers.

Related content:

EARMetal project

Electrochemically-Assisted Aqueous Reduction of Waste Streams for Metals Recovery and Functional Surfaces

EARMetal webpage, main image. Photo by Aalto University, Maija Vaara, Mithila Mohan

Multifunctional Materials Design

Group led by Professor Jaana Vapaavuori

MMD webpage main image. GIF image by Aalto University, Giulnara Launonen

Hydrometallurgy and Corrosion (Hydromet)

Led by Professor Mari Lundström

Precious metals in crushed batteries being dissolved in a test tube. Photo: Glen Forde/Aalto Energy Platform
  • Updated:
  • Published:
Share
URL copied!

Read more news

A woman in white stands in a theatrical dressing room with violet walls, a lit vanity mirror, and hanging clothes.
Cooperation, Research & Art Published:

Hämeenlinna Art Museum’s exhibition brings artworks to life through film

Hämeenlinna Art Museum will open a new exhibition Kehyskertomuksia: 24 fps / Reframing Cinema, produced in collaboration with the Aalto University Department of Film ELO.
An eye by Matti Ahlgren.
Press releases Published:

New macular degeneration treatment the first to halt disease’s progression

Aalto University researchers have uncovered a promising way to treat the dry form of the age- related macular degeneration (AMD) in the early diagnosis phase that could potentially stop its progression. The novel treatment approach aims to strengthen the protective mechanisms of affected cells using heat, explains Professor Ari Koskelainen.
Left: Daniela da Silva Fernandes, right: Robin Welsch.
Press releases Published:

AI use makes us overestimate our cognitive performance

New research warns we shouldn’t blindly trust Large Language Models with logical reasoning –– stopping at one prompt limits ChatGPT’s usefulness more than users realise.
Open Access Week 2025 poster with nine images behind the open access symbol and event details.
Research & Art Published:

Publishing Research Data Alongside Research Articles

Data availability statements are increasingly required by scientific journals. They include information on what data are available, where they can be found, and any applicable access terms