A5012049032- Gold and Silver Nanoparticles Synthesis and Applications
- Biosensors and Analytical Detection
- Machine Learning in Materials Science
- Spectroscopy Techniques in Biomedical and Chemical Research
- Electrocatalysts for Energy Conversion
- Nanocluster Synthesis and Applications
- Computational Drug Discovery Methods
- Protein Interaction Studies and Fluorescence Analysis
- Advanced Text Analysis Techniques
- 2D Materials and Applications
- Catalytic Processes in Materials Science
- SARS-CoV-2 detection and testing
- Various Chemistry Research Topics
- Service-Oriented Architecture and Web Services
- Spectroscopy and Chemometric Analyses
- Nanoporous metals and alloys
- Metabolomics and Mass Spectrometry Studies
- MXene and MAX Phase Materials
- Proteins in Food Systems
- Copper-based nanomaterials and applications
- Advanced biosensing and bioanalysis techniques
- Chemical Safety and Risk Management
- Electrochemical Analysis and Applications
- Analytical Chemistry and Chromatography
- Thermal Radiation and Cooling Technologies
Nanyang Technological University
2017-2025
University of Toronto
2024-2025
Jiangnan University
2024
Singapore Centre for Environmental Life Sciences Engineering
2023
University of Bath
2017
Population-wide surveillance of COVID-19 requires tests to be quick and accurate minimize community transmissions. The detection breath volatile organic compounds presents a promising option for but is currently limited by bulky instrumentation inflexible analysis protocol. Here, we design hand-held surface-enhanced Raman scattering-based breathalyzer identify infected individuals in under 5 min, achieving >95% sensitivity specificity across 501 participants regardless their displayed...
Surface-enhanced Raman scattering (SERS) is a molecular-specific spectroscopic technique that provides up to 1010-fold enhancement of signature fingerprints using nanometer-scale 0D 2D platforms. Over the past decades, 3D SERS platforms with additional plasmonic materials in z-axis have been fabricated at sub-micrometer centimeter scale, achieving higher hotspot density all x, y, and z spatial directions tolerance laser misalignment. Moreover, flexibility construct arbitrary sizes shapes...
Because of the versatility plasmonic nanoparticles, there have been major improvements in tailoring effects for a plethora applications. However, bottleneck platforms is poor performance nonadsorbing molecules because plasmon-induced properties are strongest only at surface. To address this fundamental challenge, porous metal–organic frameworks (MOFs) increasingly incorporated with nanoparticles (NP) platform to form NP–MOF nanohybrid. Integrating MOFs NP enhances applicability nanohybrid by...
Gas-phase surface-enhanced Raman scattering (SERS) remains challenging due to poor analyte affinity SERS substrates. The reported use of capturing probes suffers from concurrent inconsistent signals and long response time the formation multiple potential probe-analyte interaction orientations. Here, we demonstrate non-covalent interactions for ring complexation boost small gas molecules, SO2 NO2 , our platform, achieving rapid capture multiplex detection down 100 ppm. Experimental in-silico...
Achieving untargeted chemical identification, isomeric differentiation, and quantification is critical to most scientific technological problems but remains challenging. Here, we demonstrate an integrated SERS-based taxonomy machine learning framework for structural elucidation of 11 epimeric cerebrosides, attaining >90% accuracy robust single epimer multiplex with <10% errors. First, utilize 4-mercaptophenylboronic acid selectively capture the epimers at molecular sites isomerism form...
Metallic 1T-WS2 has various interesting properties such as increased density of catalytically active sites on both the basal planes and edges well metallic conductivity which allows it to be used in applications biosensing energy devices. Hence, is highly beneficial develop a simple, efficient, low-cost synthesis method nanosheets from commercially available bulk 2H-WS2. In this study, we reported WS2 synthesized directly via solution-based electrochemical exfoliation with bipolar electrodes...
Two-photon lithography (TPL) is an emerging approach to fabricate complex multifunctional micro/nanostructures. This because TPL can easily develop various 2D and 3D structures on a variety of surfaces, there has been rapidly expanding pool processable photoresists create different materials. However, challenges in developing two-photon currently impede progress TPL. In this review, we critically discuss the importance photoresist formulation We begin by evaluating commercial design...
Chiral differentiation is critical in diverse fields ranging from pharmaceutics to chiral synthesis. While surface-enhanced Raman scattering (SERS) offers molecule-specific vibrational information with high detection sensitivity, current strategies rely on indirect using additional selectors and cannot exploit SERS' key advantages for univocal generic differentiation. Here, we achieve direct, label-free SERS sensing of biologically important enantiomers by synergizing asymmetric nanoporous...
Rapid, universal, and accurate identification of bacteria in their natural states is necessary for on-site environmental monitoring fundamental microbial research. Surface-enhanced Raman scattering (SERS) spectroscopy emerges as an attractive tool due to its molecule-specific spectral fingerprinting multiplexing capabilities, well portability speed readout. Here, we develop a SERS-based surface chemotaxonomy that uses bacterial extracellular matrices (ECMs) proxy biosignatures hierarchically...
The direct use of metal anode emerges as a key strategy in advancing high‐energy‐density batteries, applicable across non‐protonic, aqueous, and solid‐state battery systems. To enhance durability, one effective approach involves employing interfacial molecular modification to modulate metal's facet orientation, reducing the tendency metals form random loose morphologies during deposition. Herein, we propose model elucidate how dicarboxylic acid molecules with varying alkyl chain lengths...
The direct use of metal anode emerges as a key strategy in advancing high‐energy‐density batteries, applicable across non‐protonic, aqueous, and solid‐state battery systems. To enhance durability, one effective approach involves employing interfacial molecular modification to modulate metal's facet orientation, reducing the tendency metals form random loose morphologies during deposition. Herein, we propose model elucidate how dicarboxylic acid molecules with varying alkyl chain lengths...
Identifying unknown molecules beyond existing databases remains challenging in surface-enhanced Raman scattering (SERS) spectroscopy. Conventional SERS analysis relies on matching experimental and cataloged spectra, limiting identification to known databases. With a vast chemical space of >1060 molecules, it is impractical obtain the spectra every molecule rely solely silico techniques for spectral predictions. Here, we showcase an ML-based that leverages key spectra-structure correlations...
Data digitisation of scientific literature is essential to expedite the creation machine-learnable knowledge bases for data-driven research and integration with knowledge-intensive systems like self-driving laboratories. However, automating extraction, interpretation, structuring data from information-rich graphical elements within prevalent PDF format remains a significant challenge. We present MERMaid (Multimodal aid Reaction Mining), an end-to-end ingestion pipeline automatically convert...
Schematic of our bidirectional, ML-empowered approach incorporating plasmonic featurization for rapid (<30 s) and accurate determination the size distribution gold nanosphere (Au NSs) ensembles in real samples.
Leveraging the chemical data that is available in legacy formats such as publications and patents a significant challenge for community. Automated reaction mining offers promising solution to unleash this knowledge into learnable digital form therefore help expedite materials discovery. However, existing toolkits are limited single input modalities (text or images) cannot effectively integrate heterogeneous scattered across different including text, tables, figures. In work, we go beyond...
Leveraging the chemical data available in legacy formats such as publications and patents is a significant challenge for community. Automated reaction mining offers promising solution to unleash this knowledge into learnable digital form therefore help expedite materials discovery. However, existing toolkits are limited single input modalities (text or images) cannot effectively integrate heterogeneous that scattered across text, tables, figures. In work, we go beyond explore multimodal...
Molecular recognition of complex isomeric biomolecules remains challenging in surface-enhanced Raman scattering (SERS) spectroscopy due to their small cross-sections and/or poor surface affinities. To date, the use molecular probes has achieved excellent sensitivities but still suffers from spectral specificity. Here, we induce "charge and geometry complementarity" between probe analyte as a key strategy achieve high specificity for effective SERS structural analogues. We employ...
Probing changes of noncovalent interactions is crucial to study the binding efficiencies and strengths (bio)molecular complexes. While surface-enhanced Raman scattering (SERS) offers unique molecular fingerprints examine such in situ, current platforms are only able recognize hydrogen bonds because their reliance on manual spectral identification. Here, we differentiate multiple intermolecular between two interacting species by synergizing plasmonic liquid marble-based SERS platforms,...
Abstract Photothermal steam generation promises decentralized water purification, but current methods suffer from slow evaporation even at high photothermal efficiency of ≈98%. This drawback arises the latent heat vaporization that is required to overcome strong and extensive hydrogen bonding network in for generation. Here, light‐to‐vapor conversion boosted by incorporating chaotropic/kosmotropic chemistries onto plasmonic nanoheater manipulate intermolecular point‐of‐heating. The...
Computational chemistry is an indispensable tool for understanding molecules and predicting chemical properties. However, traditional computational methods face significant challenges due to the difficulty of solving Schrödinger equations increasing cost with size molecular system. In response, there has been a surge interest in leveraging artificial intelligence (AI) machine learning (ML) techniques silico experiments. Integrating AI ML into offers solutions scalability accelerating...