Articles tagged with Analyte Detection
Researchers have created a method for simultaneous imaging of DNA and RNA in living cells using harmless infrared light, allowing for high-precision detection of all stages of cell death. This breakthrough enables the early detection of cellular damage that leads to aging or death.
Researchers develop innovative SERS detection strategy leveraging the coffee ring effect to detect trace-level nanoplastics. The method overcomes sensitivity limitations of conventional SERS by analyzing coffee ring diameter and detection probability.
Researchers unveiled a portable, hand-powered device that leverages nanoplasmonic technology to detect bacteria with unprecedented accuracy. The plasmonic fidget spinner (P-FS) significantly improves sensitivity, enabling rapid diagnosis of bacterial infections in resource-limited settings.
Researchers developed a new type of plastic scintillator that offers improved optical clarity, mechanical strength, and detection accuracy. This advancement has the potential to create next-generation radiation detectors that are safer, stronger, and more cost-effective.
A copper-containing, electrically conducting, two-dimensional metal–organic framework has been developed for the highly selective detection of nitric oxide. The material detects NO at room temperature with high sensitivity and selectivity, making it suitable for air quality monitoring and medical applications.
A new COF sensor can detect pH changes in plant xylem tissues, providing early warning of drought stress up to 48 hours before traditional methods. This technology enables timely detection and management of drought stress, optimizing crop production and yield.
Researchers developed a novel, homogeneous customizable OpenGUS immunoassay that detects target analytes quickly and effectively. The platform provides a hassle-free approach for biomarker detection in point-of-care diagnostics, high-throughput testing, and environmental monitoring.
Scientists created a wearable sensor that can monitor cholesterol and lactate levels on dry skin, enabling early disease detection. The sensor overcomes existing challenges of traditional methods, promising new opportunities for remote patient monitoring and population-wide health screening.
Researchers propose a novel annotation strategy called Drag&Drop, which enables manual labeling based on a single 2D annotation in high-dimensional volumetric data. The proposed framework achieves a comparable tumor detection rate to per-pixel annotations and higher rates than alternative weak annotation strategies.
Researchers from Tokyo Metropolitan University have engineered a micro total analysis system that quantifies target chemicals in a microfluidic chip without pumps or expensive detectors. The device uses gas production to drive ink flow and measure the original chemical concentration.
Engineers developed an ultra-sensitive sensor made of graphene that can detect low concentrations of lead ions in water, achieving a record limit of detection down to the femtomolar range. The device's high sensitivity enables the detection of even one lead ion in a reasonable volume of water.
Researchers at Gwangju Institute of Science and Technology (GIST) have developed a deep learning-based biosensing platform called DeepGT, which can accurately quantify nanoscale bioparticles, including viruses. The platform harnesses the advantages of Gires-Tournois biosensors and AI to refine visual artifacts and extract relevant info...
Researchers at IPC PAS developed a system to detect single molecules using electrochemical techniques by converting charges into photons, overcoming the detection limit. The study demonstrates increased sensitivity towards charge-transfer processes in a closed bipolar electrochemical setup.