Home > Press > Nanoparticles on nanosteps: A new study reduces wastage and increases the efficiency of catalysts
![]() |
| These are platinum nanoparticles on nanosteps. CREDIT: SISSA/CNR-IOM |
Abstract:
Platinum is one of the costly metals used as catalysts in new technologies employed for industrial chemical processes, renewable energy sources, pollution control and many other purposes. In particular, it is used for fuel cells, devices that turn chemical energy directly into electrical energy, without combustion. Research has shown that the greatest efficiency is achieved when the catalyst is available in the form of nanoparticles (smaller than 10-9 m). Simply put, the greater the dispersion of the material and the smaller the size of the particles, the more is it available for catalysis. Unfortunately, the laws of thermodynamics cause the particles to "stick" to one another and form larger clusters, which is why the material becomes less effective over time. So what can be done to maintain maximal dispersion of the "nanopowder"?
A group of SISSA/CNR IOM scientists (with the collaboration of the Univerzita Karlova in Prague) has studied a way to produce tiny platinum grains consisting of one atom only and to keep them dispersed in a stable manner, by exploiting the properties of the substrate on which they rest.
"Theoretical work demonstrated that irregularities in the surface known as steps and observed in experiments conducted at the Trieste Synchrotron tend to attract and separate the nanoparticles, causing them to remain literally attached in the form of single atoms", explains Stefano Fabris, CNR-IOM/SISSA research fellow.
"The particles adhering to the steps were no longer visible even using an atomic resolution microscope" explains Nguyen-Dung Tran, a SISSA PhD student. "However, their presence was detected by spectroscopy, so they were indeed there, but they were no longer visible or free to move around". "Our computer simulations solved this dilemma, showing that the particles on the steps are reduced to single atoms" adds Matteo Farnesi Camellone (CNR-IOM), another author of the study.
"If the surface is engineered to contain a large number of these defects, then the force that binds the particles to the substrate effectively offsets the aggregation force", explains Fabris. The theoretical work, led by Fabris, allowed the researchers to develop a "system model" on the computer able predict the behaviour of the material. The model's predictions were confirmed by the experimental measurements. Materials like this can be used for fuel cell electrodes, with far lower costs than the current ones.
"Reducing the amount of platinum used in fuel cell electrodes is a priority, not only to contain costs but also to ensure environmental sustainability, as also indicated by the recent European directives" concludes Fabris. The European project ChipCAT, which funded this research, aims precisely to achieve this goal.
####
For more information, please click here
Contacts:
Federica Sgorbissa
39-040-378-7644
Copyright © International School for Advanced Studies (SISSA)
If you have a comment, please Contact us.Issuers of news releases, not 7th Wave, Inc. or Nanotechnology Now, are solely responsible for the accuracy of the content.
| Related News Press |
News and information
Quantum computer improves AI predictions April 17th, 2026
Flexible sensor gains sensitivity under pressure April 17th, 2026
A reusable chip for particulate matter sensing April 17th, 2026
Detecting vibrational quantum beating in the predissociation dynamics of SF6 using time-resolved photoelectron spectroscopy April 17th, 2026
Chemistry
Projecting light to dispense liquids: A new route to ultra-precise microdroplets January 30th, 2026
From sensors to smart systems: the rise of AI-driven photonic noses January 30th, 2026
"Nanoreactor" cage uses visible light for catalytic and ultra-selective cross-cycloadditions October 3rd, 2025
Cambridge chemists discover simple way to build bigger molecules – one carbon at a time June 6th, 2025
Govt.-Legislation/Regulation/Funding/Policy
Quantum computer improves AI predictions April 17th, 2026
Metasurfaces smooth light to boost magnetic sensing precision January 30th, 2026
New imaging approach transforms study of bacterial biofilms August 8th, 2025
Possible Futures
A fundamentally new therapeutic approach to cystic fibrosis: Nanobody repairs cellular defect April 17th, 2026
UC Irvine physicists discover method to reverse ‘quantum scrambling’ : The work addresses the problem of information loss in quantum computing system April 17th, 2026
Discoveries
Quantum computer improves AI predictions April 17th, 2026
Flexible sensor gains sensitivity under pressure April 17th, 2026
A reusable chip for particulate matter sensing April 17th, 2026
Detecting vibrational quantum beating in the predissociation dynamics of SF6 using time-resolved photoelectron spectroscopy April 17th, 2026
Materials/Metamaterials/Magnetoresistance
First real-time observation of two-dimensional melting process: Researchers at Mainz University unveil new insights into magnetic vortex structures August 8th, 2025
Researchers unveil a groundbreaking clay-based solution to capture carbon dioxide and combat climate change June 6th, 2025
A 1960s idea inspires NBI researchers to study hitherto inaccessible quantum states June 6th, 2025
Institute for Nanoscience hosts annual proposal planning meeting May 16th, 2025
Announcements
A fundamentally new therapeutic approach to cystic fibrosis: Nanobody repairs cellular defect April 17th, 2026
UC Irvine physicists discover method to reverse ‘quantum scrambling’ : The work addresses the problem of information loss in quantum computing system April 17th, 2026
Interviews/Book Reviews/Essays/Reports/Podcasts/Journals/White papers/Posters
A fundamentally new therapeutic approach to cystic fibrosis: Nanobody repairs cellular defect April 17th, 2026
UC Irvine physicists discover method to reverse ‘quantum scrambling’ : The work addresses the problem of information loss in quantum computing system April 17th, 2026
Automotive/Transportation
Decoding hydrogen‑bond network of electrolyte for cryogenic durable aqueous zinc‑ion batteries January 30th, 2026
Sensors innovations for smart lithium-based batteries: advancements, opportunities, and potential challenges August 8th, 2025
Simple algorithm paired with standard imaging tool could predict failure in lithium metal batteries August 8th, 2025
Fuel Cells
Deciphering local microstrain-induced optimization of asymmetric Fe single atomic sites for efficient oxygen reduction August 8th, 2025
Current and Future Developments in Nanomaterials and Carbon Nanotubes: Applications of Nanomaterials in Energy Storage and Electronics October 28th, 2022
|
|
||
|
|
||
| The latest news from around the world, FREE | ||
|
|
||
|
|
||
| Premium Products | ||
|
|
||
|
Only the news you want to read!
Learn More |
||
|
|
||
|
Full-service, expert consulting
Learn More |
||
|
|
||