Asymmetric Molecular Adsorption and Regioselective Bond Cleavage on Chiral PdGa Crystals.
Nestor Merino-DiezRaymond AmadorSamuel T StolzDaniele PasseroneRoland WidmerOliver GröningPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2024)
Homogenous enantioselective catalysis is nowadays the cornerstone in the manufacturing of enantiopure substances, but its technological implementation suffers from well-known impediments like the lack of endurable catalysts exhibiting long-term stability. The catalytically active intermetallic compound Palladium-Gallium (PdGa), conserving innate bulk chirality on its surfaces, represent a promising system to study asymmetric chemical reactions by heterogeneous catalysis, with prospective relevance for industrial processes. Here, this work investigates the adsorption of 10,10'-dibromo-9,9'-bianthracene (DBBA) on the PdGa:A( 1 ¯ 1 ¯ 1 ¯ $\bar{1}\bar{1}\bar{1}$ ) Pd 3 -terminated surface by means of scanning tunneling microscopy (STM) and spectroscopy (STS). A highly enantioselective adsorption of the molecule evolving into a near 100% enantiomeric excess below room temperature is observed. This exceptionally high enantiomeric excess is attributed to temperature activated conversion of the S to the R chiral conformer. Tip-induced bond cleavage of the R conformer shows a very high regioselectivity of the DBBA debromination. The experimental results are interpreted by density functional theory atomistic simulations. This work extends the knowledge of chirality transfer onto the enantioselective adsorption of non-planar molecules and manifests the ensemble effect of PdGa surfaces resulting in robust regioselective debromination.
Keyphrases
- room temperature
- density functional theory
- aqueous solution
- ionic liquid
- capillary electrophoresis
- high resolution
- single molecule
- molecular dynamics
- healthcare
- immune response
- solid state
- primary care
- squamous cell carcinoma
- biofilm formation
- dna binding
- high glucose
- drinking water
- heavy metals
- wastewater treatment
- quality improvement
- high speed
- escherichia coli
- oxidative stress
- highly efficient
- cystic fibrosis
- machine learning
- convolutional neural network
- staphylococcus aureus
- electron microscopy
- deep learning