AIMC Topic: Silver

Clear Filters Showing 11 to 20 of 130 articles

Deep Learning-Enabled Unbiased Precision Toxicity Assessment of Zebrafish Organ Development.

Environmental science & technology
Precise assessment of toxicological effects remains a key bottleneck in biomedical and environmental health assessments. Traditional toxicology relies on macroscopic end points and manual image analysis, which limit sensitivity to structural damage a...

Molecular enrichment integrated with soft voting for efficient SERS detection of multiple drugs.

Analytica chimica acta
Surface-enhanced Raman spectroscopy (SERS) is regarded as a powerful tool for rapid drug identification in the liquid phase. However, the implementation of SERS for drug detection in the liquid phase remains constrained by two critical limitations: i...

Artificial neural network optimized green synthesis of cysteine-conjugated silver nanoparticles for antibacterial activity against staphylococcus nepalensis to combat cystitis.

Antonie van Leeuwenhoek
The emergence of multidrug-resistant pathogens has increased the urgency for alternative treatment options for infections like cystitis. This study focused on the green synthesis of silver nanoparticles and cysteine-conjugated silver nanoparticles ut...

Next-generation COVID-19 detection using a metasurface biosensor with machine learning-enhanced refractive index sensing.

Scientific reports
This work introduces a high-performance graphene-silver hybrid metasurface biosensor for the fast and precise detection of COVID-19. Through parametric optimization with COMSOL Multiphysics, the sensor achieves a sensitivity of 400 GHz/RIU, a figure ...

A magnetic coupled organic SERS platform integrating acetonitrile-driven microextraction and hotspot enrichment: A new strategy for highly sensitive and precise detection of drug molecules in complex matrices.

Biosensors & bioelectronics
The sensitive detection of drug molecules in complex biological samples presents significant challenges, including weak signal intensity, strong matrix interference, and inefficient access of molecules to SERS hotspots. To address these issues, this ...

All-flexible chronoepifluidic nanoplasmonic patch for label-free metabolite profiling in sweat.

Nature communications
Wearable sensors allow non-invasive monitoring of sweat metabolites, but their reliance on molecular recognition elements limits both physiological coverage and temporal resolution. Here we report an all-flexible chronoepifluidic surface-enhanced Ram...

Advancing Whole-Cell Biosensors: Kinetics-Dependent Metabolic SERS Analytics for Pollutant Differentiation and Quantification.

Analytical chemistry
Whole-cell biosensors (WCBs), which detect targeting analytes through cellular responses, have become powerful tools for environmental monitoring. However, existing WCBs often rely on the single-channel low-dimension signal outputs (e.g., fluorescenc...

Active Learning of Atomic Size Gas/Solid Potential Energy Surfaces via Physics Aware Models.

Journal of chemical information and modeling
We propose an active learning (AL) framework to develop classical force fields (FFs) that accurately model the potential energy surfaces (PES) of gas/solid atomic-scale complexes. A central challenge is integrating AL with flexible, computationally e...

Bioinspired multifunctional conductive hydrogel based on hydroxypropyl methyl cellulose for flexible sensors.

Carbohydrate polymers
Conductive hydrogels based on hydroxypropyl methyl cellulose (HPMC) show great potential in flexible sensors due to their low price and good biocompatibility. Nevertheless, the design of such conductive hydrogels with superior flexible deformability,...

Reflection-Enhanced Raman Identification of Single Bacterial Cells Patterned Using Capillary Assembly.

ACS sensors
Raman spectroscopy is an enticing tool for the rapid identification of pathogenic bacteria and has the potential to meet the demand for early diagnosis and timely treatment of patients. However, it remains a challenge to devise a reliable Raman detec...