Chemistry is the study of bond formation (or dissociation) between atoms. The knowledge of how chemical bonds form is, in fact, fundamental to not just all of chemistry but also fields like materials science. However, traditional chemistry has been largely limited to the study of stable compounds. The study of dynamic assembly between atoms during a chemical reaction has received little attention. With recent advances in computational chemistry, however, dynamic, short-lived structures are gaining importance. Experimental observation and characterization of dynamic bonding predicted between atoms, such as the formation of metallic dimers, could open up new research frontiers in chemistry and materials science.
Credit: Tokyo Tech
Chemistry is the study of bond formation (or dissociation) between atoms. The knowledge of how chemical bonds form is, in fact, fundamental to not just all of chemistry but also fields like materials science. However, traditional chemistry has been largely limited to the study of stable compounds. The study of dynamic assembly between atoms during a chemical reaction has received little attention. With recent advances in computational chemistry, however, dynamic, short-lived structures are gaining importance. Experimental observation and characterization of dynamic bonding predicted between atoms, such as the formation of metallic dimers, could open up new research frontiers in chemistry and materials science.
However, observing this bond dynamics also requires the development of a new methodology. This is because conventional characterization techniques only provide a time-averaged structural information and are, thus, inadequate for observing the bonds as they are formed.
Against this backdrop, researchers from Japan led by Associate Professor Takane Imaoka from Tokyo Institute of Technology (Tokyo Tech) has now provided an ingenious solution. In their study published in Nature Communications, the team used a combination of video tracking and a technique called “annular dark field scanning transmission electron microscopy” (ADF-STEM) to perform sequential imaging of different metal atoms interacting with one another. This allowed them to directly observe transient structures resulting from an assembly of two similar atoms (homo-metallic dimers), two different atoms ( hetero-metallic dimers), and three different atoms (hetero-metallic trimers).
The team began by depositing atoms of atoms of gold (Ag), silver (Ag), and copper (Cu) on a graphene nanoplate using a method called “arc-plasma deposition.” To ensure that enough isolated single atoms were available, the deposition was limited to approximately 0.05-0.015 monolayers and high-magnification observations were performed on the flat regions of the graphene substrate.
“The elemental identification of the atoms was available with real-time tracking of the moving atoms, while ADF-STEM allowed the atoms to be observed under electron dose. This helped us avoid high current densities typically needed for single-atom analysis, which can cause material damage,” explains Dr. Imaoka.
Additionally, ADF-STEM imaging showed an extremely high atom discrimination accuracy, ranging from 98.7% for Au–Ag to 99.9% for Au–Cu pairs. Other pairings also showed similar levels of discrimination. Moreover, the team was also able to observe Au–Ag–Cu, an extremely short-lived hetero-metallic trimer.
“Although our snapshots did not perfectly agree with the structures predicted by theoretical calculations, the average bond lengths between the elements in the observed structures are in good agreement with the calculations,” says Dr. Imaoka.
The remarkable findings of this study could lead to rapid developments in nanoscience, where the characterization of metal clusters and subnanoparticles is gaining importance, and, in the process, open doors to a completely new realm of matter.
Journal
Nature Communications
DOI
10.1038/s41467-022-30533-y
Method of Research
Experimental study
Subject of Research
Not applicable
Article Title
Dynamic hetero-metallic bondings visualized by sequential atom imaging
Article Publication Date
27-May-2022