We investigated the configuration characteristic and adsorption behavior of 4,4'-thiobisbenzenethiol (TBBT) on the surface of silver nanoparticles (NPs). Under different conditions and preparation processes, several possible surface species were produced including single-end adsorption on a silicon wafer, double-end adsorption and bridge-like adsorption. Although consisting of the same molecule and nano material, different adsorption systems exhibited different spectral characteristics in the surface-enhanced Raman spectroscopy (SERS). A density functional theory (DFT) study further verified the corresponding adsorption states. The combined SERS-DFT study provided a framework towards investigating and designing adsorption systems at a molecular level, indicating the potential use in applications such as nano-sensors.

Download full-text PDF

Source
http://dx.doi.org/10.1039/c2cp24147aDOI Listing

Publication Analysis

Top Keywords

adsorption
8
silver nanoparticles
8
surface-enhanced raman
8
density functional
8
functional theory
8
adsorption systems
8
situ identification
4
identification adsorption
4
adsorption 44'-thiobisbenzenethiol
4
44'-thiobisbenzenethiol silver
4

Similar Publications

Modulating the Oxygen Evolution Reaction of Single-Crystal Cobalt Carbonate Hydroxide via Surface Fe Doping and Facet Dependence.

J Phys Chem Lett

January 2025

Graphene Composite Research Center, College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen 518060, P. R. China.

The oxygen evolution reaction (OER) is a critical half-reaction in water splitting and metal-air cells. The sensitivity of the OER to the composition and structure of the electrocatalyst presents a significant challenge in elucidating the structure-property relationship. In this study, highly stable single-crystal cobalt carbonate hydroxide [Co(OH)CO, CoCH] was used as a model to investigate the correlations among structure, composition, and reactivity.

View Article and Find Full Text PDF

TiN Boosting the Oxygen Reduction Performance of Fe-N-C through the Relay-Catalyzing Mechanism for Metal-Air Batteries.

ACS Appl Mater Interfaces

January 2025

Department of Aviation Oil and Material, Air Force Logistics Academy, 72 Xi Ge Road, Xuzhou, Jiangsu 221000, China.

Metal-air batteries desire highly active, durable, and low-cost oxygen reduction catalysts to replace expensive platinum (Pt). The Fe-N-C catalyst is recognized as the most promising candidate for Pt; however, its durability is hindered by carbon corrosion, while activity is restricted due to limited oxygen for the reaction. Herein, TiN is creatively designed to be hybridized with Fe-N-C (TiN/Fe-N-C) to relieve carbon corrosion and absorb more oxygen when catalyzing oxygen reduction.

View Article and Find Full Text PDF

Herein, first, MIL-125 samples were synthesized via a hydrothermal method. Then, Ag species were doping on the surface of MIL-125 samples via the photolysis of silver nitrate. Finally, the Z-scheme MIL-125/Ag/BiOBr composite was synthesized via a directed liquid assembly method.

View Article and Find Full Text PDF

Lanthanide Metal-Organic Framework Flowers for Proteome Profiling and Biomarker Identification in Ultratrace Biofluid Samples.

ACS Nano

January 2025

Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, People's Republic of China.

Identifying effective biomarkers has long been a persistent need for early diagnosis and targeted therapy of disease. While mass spectrometry-based label-free proteomics with trace cell has been demonstrated, deep proteomics with ultratrace human biofluid remains challenging due to low protein concentration, extremely limited patient sample volume, and substantial protein contact losses during preprocessing. Herein, we proposed and validated lanthanide metal-organic framework flowers (MOF-flowers), as effective materials, to trap and enrich protein in biofluid jointly through cation-π interaction and O-Ln coordination.

View Article and Find Full Text PDF

Attention-Based Interpretable Multiscale Graph Neural Network for MOFs.

J Chem Theory Comput

January 2025

The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.

Metal-organic frameworks (MOFs) hold great potential in gas separation and storage. Graph neural networks (GNNs) have proven effective in exploring structure-property relationships and discovering new MOF structures. Unlike molecular graphs, crystal graphs must consider the periodicity and patterns.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!