We present a systematic study of electrostatic interactions between gold nanorods designed with a range of positive and negative zeta potentials, with Surface-Enhanced Raman Spectroscopy activity tested on representative E. coli and S. epidermidis bacteria. Our work provides new insights into the principle of bacteria-nanorod interactions, enabling reproducible and precise biomolecular readouts.

We present SpectroGen, a novel deep generative model for generating spectral signatures across modalities using experimentally collected spectral input from a single modality. The results from 319 standard mineral samples tested demonstrate generating with 99% correlation and 0.01 root mean square error with superior resolution than experimentally acquired ground truth spectra

We present surface-enhanced Raman spectroscopy (SERS) combined with machine learning (ML) as a powerful tool for providing interpretable insights into the transcriptome, proteome, and metabolome at the single-cell level. Recent advances in nanophotonics enhance Raman scattering for rapid, strong label-free spectroscopy, while ML approaches enable precise spectral analysis.

We present a rapid, culture-free, and antibiotic incubation-free drug susceptibility test for tuberculosis (TB) using Raman spectroscopy and machine learning. Recent developments in these techniques allow us to achieve over 98% accuracy in classifying resistant versus susceptible Mycobacterium tuberculosis (Mtb) strains on dried samples, and approximately 79% accuracy on patient sputum samples.

We present a novel approach using Sharpness-Aware Minimization (SAM) to address current limitations in Raman spectroscopy for antibiotic resistance testing. By enhancing model generalization and optimizing hyperparameters across diverse datasets, SAM achieves significant accuracy improvements—up to 10.7% on individual splits and an average increase of 2.5% across all splits—compared to traditional methods like Adam.

We present antibody-coated Dynabeads as strong Raman reporter labels whose effect can be considered a Raman parallel of immunofluorescent probes. Recent developments in techniques for separating target-bound Dynabeads from unbound Dynabeads makes such an implementation feasible with high specificity.

We introduce an innovative approach combining acoustic bioprinting with Surface-enhanced Raman spectroscopy (SERS) and machine learning (ML) for precise pathogen detection in complex samples like blood, urine, and wastewater. Using an acoustic bioprinter, we digitize samples into millions of droplets, each containing a few cells, enhanced with gold nanorods (GNRs) for up to 1500× SERS signal improvement.

We present advancements in Surface-enhanced Raman spectroscopy (SERS) aimed at improving infectious disease diagnosis, particularly in pandemic scenarios. Addressing challenges such as spectral signal consistency, interpretability complexity, and workflow efficiency, we highlight recent innovations: (1) enhanced label-free SERS substrates and data processing algorithms to improve signal reliability and interpretability for comprehensive pathogen screening assays …

We present a study on bacterial liquid-SERS, focusing on plasmonic and electrostatic interactions between gold nanorods and bacteria to achieve uniformly enhanced SERS signals. By synthesizing nanorods with various plasmon resonances and studying Gram-negative (Escherichia coli, Serratia marcescens) and Gram-positive (Staphylococcus aureus, Staphylococcus epidermidis) bacteria in water, we demonstrate significant SERS enhancement.

We explore the potential of transition metal oxide (TMO) cathodes in Li-oxygen batteries, aiming to overcome limitations in rechargeability due to cathode passivation by nonconductive discharge products. Despite challenges, TMOs have shown promise by enabling lower charging potentials compared to carbon-only cathodes, potentially enhancing oxygen evolution efficiency.

We explore the optical properties of conjugated energetic molecules (CEMs), emphasizing their potential for direct optical initiation due to high nitrogen content and enhanced safety characteristics. Using time-dependent density functional theory, we investigated the one-photon absorption (OPA) and two-photon absorption (TPA) of both monomers and dimers derived from experimentally determined crystal structures of CEMs.

We explore the use of bacteria as natural and sustainable pore templates for creating porous structures, overcoming synthetic difficulties, process complexities, and high costs associated with synthetic porogens. Cultured bacteria, being readily available and cost-effective, require no chemical synthesis and offer variability in size and shape.