Articles tagged with Sensors
Researchers at the University of Cincinnati have developed a new at-home test that uses saliva to detect early signs of gingivitis, the earliest form of gum disease. The device can identify periodontal disease caused by bacteria in saliva, providing an opportunity for consumers to protect their oral health.
Researchers at UC Santa Cruz have created a device that mimics biological channels to detect biomolecules indicative of human disease. The bioprotonic system uses electrical currents of protons to translate biomolecule presence into electronic signals, with potential applications for in-vitro and clinical settings.
Scientists at the University of Innsbruck improved atomic clock accuracy by using finite-range interactions to create entanglement, reducing measurement errors by roughly half.
Researchers at Pohang University of Science & Technology have developed a sensor technology called computer vision-based optical strain (CVOS) that enhances durability and streamlines fabrication processes. This breakthrough enables the precise recognition of intricate bodily motions through a single sensor.
A KAUST researcher has created a highly sensitive glucose detector based on a thin-film transistor that can measure glucose levels in saliva with high accuracy. The device uses an enzyme to oxidize glucose present in the saliva, producing electrons that indicate the glucose concentration.
Researchers created stretchable strain sensors that can measure large and complex deformations accurately. The new sensors respond quickly, detecting deformations in under 22 milliseconds, and can be used to monitor organs for diseases like bladder abnormalities.
Scientists have identified a molecule that regulates nerve cell sensors, which could lead to new therapeutics for obesity, osteoporosis, and inflammatory diseases. The molecule can be modified into peptide-based therapeutics to boost the activity of channels involved in bone strength and satiety.
Researchers used AI and mobility data to enhance air pollution models, improving accuracy by an average of 17.5% and identifying hotspots with high PM2.5 levels. This integrated approach can inform targeted health alerts and safety measures for areas with poor air quality.
A team of researchers has developed a new screening method to identify defective sensors, enabling the mass production of reliable graphene sensors for detecting toxins in water. The sensors can detect multiple contaminants simultaneously and provide early warning for contamination.
Researchers have developed a sensitive and selective nerve gas sensor using human scent receptors. The device reliably detected dimethyl methylphosphonate (DMMP) in simulated tests, even at concentrations as low as 0.037 parts per billion.
A team of scientists at Caltech used a section of fiber optic cable to measure the intricate details of a magnitude 6 earthquake, pinpointing four individual asperities that led to the rupture. The study demonstrates the potential of distributed acoustic sensing technology to improve our understanding of earthquake physics.
Researchers explore techniques to enhance mechanical and electrical performance of hydrogel sensors, enabling harsh environment resistance, human skin compatibility, and intelligent data processing. Hydrogels' toughness and conductive capabilities make them suitable for wearable electronics applications.
Researchers have developed ultra-thin and flexible 2D biochemical sensors with high sensitivity for detecting target substances, revolutionizing sensing technology. However, integrating these sensors into comprehensive systems for large-scale industrial manufacturing poses significant challenges.
Researchers have developed a novel DNA-filtering system using α-hemolysin nanopores to reduce contamination in single-molecule DNA extraction. The technique, which uses phospholipids and the PCR clamp method, achieved a 99.98% reduction in DNA contamination.
Researchers at UC San Diego developed a robotic hand that can rotate objects solely through touch without relying on vision. The system uses low-cost, binary signals from multiple sensors to detect object contact and perform precise rotations.
Researchers created a thin, flexible sensor that can visualize heat flow in real-time using thermoelectric phenomenon ANE. The sensor can be built deep inside devices and is quick, cheap, and easy to manufacture.
Researchers have developed an easy-to-manufacture e-nose that can rapidly and accurately 'sniff-out' volatile compounds, including those used in hazardous waste and disease diagnosis. The sensor uses machine learning to identify specific VOCs and determine their concentration.
Researchers at MIT have developed a novel sensor that can detect immune molecule CXCL12, which plays a crucial role in several human diseases including cancer. The device uses receptor proteins found in cell membranes, making it a potential tool for early screening of hard-to-diagnose cancers.
Researchers at Politecnico di Milano used fibre optic sensors to monitor water pipelines and detected pressure anomalies caused by water leaks. The study's results confirm the possibility of identifying and localizing small water leaks, offering a potential solution to global water wastage.
A new device, pioneered by Anqi Zhang, can record brain activity without harming neural tissue, using the passageways of blood vessels. This innovation overcomes previous limitations, enabling precise recording from individual neurons in living animals.
The Multi-frame Moving Object Detection System enhances remote sensing applications by detecting objects as small as one pixel in low-visibility conditions. It improves signal-to-noise ratio and detects fast- and slow-moving objects with high accuracy.
Scientists will use AI-powered monitoring stations to track species populations and assess the effectiveness of agri-environment schemes in improving biodiversity. The study aims to demonstrate how different farming systems and practices affect species populations, providing crucial evidence for sustainable land management policies.
Lancaster University researchers have developed a novel scanning thermal microscopy approach to directly measure the heat conductivity of two-dimensional materials. This breakthrough enables the creation of efficient waste heat scavengers generating cheap electricity, new compact fridges, and advanced optical and microwave sensors and ...
A novel microfluidic sweat lactate sensor has been developed to measure sweat lactate levels continuously during exercise without interruptions from air bubbles. The device uses a larger-than-usual sweat reservoir to trap air bubbles, preventing them from contacting the sensors' electrodes.
Researchers from Bar-Ilan University have developed flexible magneto-resistive sensors with unprecedented sensitivity, detecting low-frequency magnetic fields smaller than 200 pico-Tesla. The breakthrough offers new opportunities for flexible sensor integration in medical devices, soft robotics, and other applications.
Researchers successfully fabricate a microlens on a single-mode polarization-stable VCSEL chip using 2-photon-polymerization 3D printing, reducing beam divergence from 14.4° to 3° and enabling compact optical gas sensors with improved performance.
A team from the Second Tibetan Plateau Scientific Expedition and Research (STEP) has made a significant contribution to understanding Mount Qomolangma's mean snow depth. They used a novel approach to ground-penetrating radar technology, resulting in a snow depth of 9.5 ± 1.2 meters at the summit.
A human lung-inspired graphene-metal organic framework hybrid gas sensor has been developed to monitor nitrogen dioxide concentrations. The sensor achieves the lowest detection limit (0.168 ppb) and fastest response time (15 sec), overcoming limitations of traditional sensors.
New smart pants based on fiber optic sensors can track various types of physical activities in the clinic or at home, detecting signs of distress. The sensing approach achieved 100% accuracy in classifying activities and has several advantages, including low-cost and reliability.
The new sensor chip detects multiple disease pathogens with high sensitivity and eliminates chemical dye reagents. Results are available in about 30 minutes, showing promise for rapid point-of-care diagnostic capabilities.
Researchers have developed a method to stabilize the –1 state of boron vacancy defects in hBN, enabling it to replace diamond as a material for quantum sensing and quantum information processing. The team discovered unique properties of hBN and characterized its material, opening up new avenues for study.
Scientists have developed a new technique to cool membranes with lasers, achieving temperatures close to absolute zero without measurement. The method uses a coherent feedback loop, where laser light acts as both sensor and damper, to dampen thermal vibrations and reach extremely low temperatures.
A University of Arizona professor has developed a 1-minute frailty testing platform to screen patients for frailty, enabling better care decisions. The platform measures motor, heart, and brain function using wearable sensors, providing an accurate diagnosis.
Researchers at UNIGE have identified a new type of molecular sensor that enables the malaria parasite to infect human cells or mosquitoes at just the right moment. By understanding how this sensor works, scientists can potentially scramble its signals to disorientate the parasite and block its multiplication and transmission.
Researchers developed tiny nano-sized pores that can detect specific proteins in complex biological fluids, such as blood. The breakthrough enables fast and accurate disease diagnosis, potentially leading to earlier interventions and improved treatment outcomes.
Scientists at the University of Tokyo develop a technique to create nano-sized quantum sensors on measurement targets, enabling high-resolution magnetic field imaging with applications in superconductors and electronic devices. The breakthrough uses boron vacancies or lattice defects in hexagonal boron nitride film, allowing for easy d...
A multidisciplinary team of scientists conducted a comprehensive study to understand the sources and sinks of plastic debris in the Southern North Sea. Local citizen scientists played a crucial role in tracking the distribution pathways of plastic particles, revealing that two-thirds were washed ashore within 25km of their release site.
Scientists have developed a multi-layer, thin film sensor that automatically realigns during healing, mimicking human skin's layered structure. The material, comprising PPG and PDMS polymers, can self-heal and restore functionality without human input or effort.
Researchers developed a novel endoscopic imaging system with a bioinspired sensor that can detect multiple fluorescent probes, enabling more accurate fluorescence-guided cancer surgery. The system showed improved spatial resolution and sensitivity in detecting tumors, paving the way for the adoption of multi-tracer FGS.
Researchers developed a fully knitted, circuit-embedded knee wearable for wireless sensing of joint motion in real-time. The wearable overcomes limitations of typical wearable sensors by using a single fabric with high stretchability and sensitivity.
Researchers aim to understand and utilize quasiparticles called excitons, which can transport energy without a net electric charge. The goal is to design energy-efficient systems that detect and emit light across a wide range of frequencies.
Researchers developed an affordable, stretchable, and waterproof sensor using graphite material from pencils to monitor gas molecules, temperature, and electrical physiological signals. The device has the potential for public health applications, including collecting data on population health variation between geographic locations.
The NUS team's light field sensor has a larger angular measurement range, high angular resolution and wider spectral response range, enabling higher depth resolution. It can capture 3D images of objects placed far away with accurate reconstructions of depth and dimension.
Researchers engineered bacteria to visually record environment using swarm patterns and deep learning. The system can detect pollutants and toxic compounds in the environment, enabling a low-cost detection and recording system.
Researchers at Harvard Medical School discovered a new cellular sensor that allows dormant bacteria to detect nutrients and quickly spring back to life. This breakthrough could inform the design of ways to prevent dangerous bacterial spores from lying dormant for months before waking up again and causing outbreaks.
Smart city technologies track foot traffic, driving patterns, and air quality, raising concerns about community impact. Americans worry that smart city tech may contribute to racial disparities in policing and negatively affect low-income neighborhoods.
Osaka University researchers develop a cellulose-based material, called nanopaper e-skin, that makes effective contact with the skin while maintaining breathability and comfort. The substrate can withstand deformation, sterilization, and environmental sustainability, making it a promising candidate for electrophysiological monitoring.
Researchers at Aalto University developed a new bio-inspired sensor that can recognize moving objects in a single frame from a video and predict where they will move to. The sensor uses embedded information to detect motion, allowing for accurate predictions of future trajectories.
Researchers developed an ingestible X-ray dosimeter that detects radiation dose in real time, providing accurate monitoring of radiotherapy. The capsule tracks biochemical indicators like pH and temperature, enabling enhanced treatment precision for gastric cancer patients.
Researchers developed a simple sensor to monitor paracetamol levels in saliva in real-time, enabling personalized treatment and reducing toxic side effects. The device is low-cost, portable, and uses non-invasive collection methods, making it an attractive alternative for therapeutic drug monitoring.
A Princeton University team has developed a method to detect and quantify greenhouse gas leaks using drones and lasers. The approach localizes emissions sources to within a meter and can be used to spot leaks in hard-to-access areas.
Researchers developed an electrochemical sensor using 3D printing to detect Parkinson's disease at different stages by measuring levels of the protein PARK7/DJ-1. The sensor was miniaturized for portability and could be used for continual monitoring with alerts for physicians and patients.
Researchers developed a multifunctional patch that detects plant diseases and abiotic stresses like drought or salinity. The patch can detect viral infections up to a week before symptoms appear, enabling growers to take action earlier.
A comprehensive review of e-nose methods and algorithms aims to improve smell detection capabilities. The study highlights limitations of current gas sensors and provides an outlook on algorithm design.
A new camera design allows for cheaper and more efficient long-term volcano monitoring, enabling researchers to track gas emissions and predict eruptions. The camera's affordability and user-friendliness make it accessible to more volcanologists, facilitating new research opportunities.
Researchers at the University of São Paulo developed a kraft paper-based electrochemical sensor that can detect traces of pesticides in fruit and vegetables in real time. The device resembles a glucometer and has been shown to be highly sensitive, fast, and inexpensive.
Researchers developed a robust multiagent trajectory-planner that enables drones to generate collision-free trajectories even with delayed communications. The system achieved a 100% success rate in simulations and flight experiments, guaranteeing safe group operations.
A novel, low-cost sensor system utilizing force-sensing resistor technology has been developed by Pusan National University researchers for real-time pipeline monitoring. The system demonstrated a 99.4% correlation with commercial sensors, enabling accurate detection of pipeline damages.
Scientists have developed a device that can simultaneously detect the presence of COVID-19 and flu viruses at much lower levels and quickly, using graphene nanomaterials. The sensor returns results within 10 seconds, faster than conventional tests.
Researchers utilize liquid crystal droplets to visualize electric field distribution within microelectrodes, revealing rotational and translational behaviors under applied voltage. The technique provides high spatial resolution and detection accuracy, enabling defect location analysis.