Articles tagged with Emission Detectors
Binghamton University professor Mohammad Younis leads a project to develop an ultrasensitive gas detection MEMS device with autonomous actuation to detect thermal runaway in lithium-ion batteries. The device features a vibrating wire and thermal conductivity principle, and can be self-contained and act autonomously
Research estimates a sevenfold increase in tire-derived 6PPD emissions in China from 2000 to 2020, with soil and rural road networks playing major roles. The study projects that emissions could reach 0.15 million metric tons per year by 2060.
Researchers at MIT have developed a microscopic pixel-based tunable lens that controls incoming infrared light for more precise thermal imaging, chemical sensing, or pollution monitoring. The system enables compact, dynamic infrared cameras with potential applications in environmental protection, space research, and military technology.
A new proof-of-concept device created by UC Berkeley researchers can sniff out gases emitted by harmful bacteria, allergens and other food safety hazards. The device uses machine learning to recognize sensor response profiles associated with different foods and can detect the presence of common food allergens such as walnuts and peanuts.
The study found that managing nitrogen pollution requires coordinated strategies, as reducing one type of nitrogen compound can increase another's deposition to the oceans. Future emission changes could alter oceanic nitrogen deposition by 24-6% depending on emission pathways.
A new study reveals that ammonia released from intensive livestock farms can stimulate soil microbial processes that generate nitrous oxide, a powerful greenhouse gas contributing to climate change. The research highlights an overlooked pathway linking livestock pollution to global warming.
A new study reveals that plant gas emissions are triggered by rapid changes in weather, not just dry conditions. The research shows that vegetation responds immediately to shifts in humidity and temperature, changing the rate of emissions of biogenic volatile organic compounds (BVOCs) into the air.
A new study from Linköping University finds that wastewater treatment plants emit significantly more greenhouse gases than previously thought. Drones measured methane and nitrous oxide emissions at 12 Swedish treatment plants, revealing a significant discrepancy between estimated and actual emissions.
A recent study highlights the growing concern of inhaler-related greenhouse gas emissions in the US, which have increased over the past decade. The study suggests that shifting utilization to dry powder and soft mist inhalers could be a key solution to reduce emissions.
Researchers developed an advanced detector system combining silicon and germanium detectors for high-efficiency charged-particle decay studies. The system achieved precise tracking of decay processes and efficient discrimination between particles, showcasing its potential for studying exotic nuclear structures.
Researchers at King's College London and Harvard University develop a detector that can identify axions, leading potential candidates for dark matter. The Axion Quasiparticle (AQ) technology has the potential to discover dark matter in five years with further development.
Researchers at Graz University of Technology have developed new measurement methods to accurately measure emissions from category-L vehicles in realistic operation. The project results will help law enforcement agencies detect limit violations and manufacturers adapt their fleets.
The European Research Council awards €12M to GWSky project, led by SISSA, to develop innovative tools for interpreting gravitational wave signals with great precision. The project aims to identify and understand possible anomalies in the signals, revealing new physical phenomena not predicted by Einstein's theory of General Relativity.
A Virginia Tech-led team is searching for signs of dark matter in billion-year-old rocks. By analyzing crystal lattice structures, they aim to uncover miniature trails of destruction left by long-ago dark matter interactions.
A new AI-powered image recognition technique could help scientists detect dark matter at the LHC by flagging fleeting tracks before collisions occur. The technique, developed by Ashutosh Kotwal and his team, processes images in under 250 nanoseconds and weeds out uninteresting data points.
Researchers at Lancaster University and others are building the most sensitive dark matter detectors using quantum technologies. They aim to detect dark matter particles weighing between 0.01 to a few hydrogen atoms, which could reveal the mass and interactions of these mysterious particles.
The Luxembourg Institute of Science and Technology is developing affordable gas sensors for environmental monitoring and occupational safety. The €8 million AMUSENS project aims to create portable, cost-effective sensors using nanotechnology and artificial intelligence.
Researchers developed a transmissive thin scintillator using perovskite nanocrystals to track and count single protons with exceptional sensitivity. The new detectors offer unparalleled sensitivity and could revolutionize proton therapy and radiography.
Researchers at the University of Copenhagen have developed a method to remove low-concentration methane from air using UV light and chlorine. The technique has shown promise in reducing greenhouse gas emissions from livestock housing, biogas production plants, and wastewater treatment plants.
A research team has developed a new method for detecting protein ions using superconducting nanowire detectors, which achieve almost 100% quantum efficiency and can distinguish between macromolecules based on their impact energy. This breakthrough improves the detection of proteins in mass spectrometry and offers additional information.
Researchers investigate whether dark matter particles are produced inside a jet of standard model particles. Their new detector signature, semi-visible jets, opens up new directions into looking for Dark Matter.
The University of Central Florida has been awarded $50,000 each by the NASA Minority University Research and Education Project Partnership Annual Notification (MPLAN) awards. The research focuses on developing wireless multimodal sensors and studying sustainable aviation fuels to reduce environmental impact.
The Telescope Array has detected the second-highest energy cosmic ray ever observed, with an energy equivalent to dropping a brick on your toe from waist height. The Amaterasu particle deepens the mystery of ultra-high-energy cosmic rays, which may follow particle physics unknown to science.
A nationally representative study found that higher residential levels of fine particulate matter were associated with greater rates of incident dementia. The findings suggest that intervening on key emission sources could have value in reducing dementia risk, although further research is needed.
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 have developed flexible photodetectors that can detect visible to long-wave infrared radiation, covering the full spectrum of greenhouse gases without complex optical components. The new detectors are simple and cost-effective to make, with production at room temperature.
An interdisciplinary team of Northwestern University researchers has developed a new method to determine the fingerprint of neighboring disorder in 2D materials. This method enables a universal curve that characterizes disorder potentials, leading to improved performance in transistors and gas sensors.
Government actions, such as road travel restrictions, significantly reduced NO2 concentrations and deaths in Europe. The study estimated that more than 800 deaths were avoided due to improved air quality.
Researchers created a portable electronic nose that can detect the stink of wastewater treatment plants with near-human accuracy. The device is combined with a drone to measure air quality and predict odor intensity, producing real-time maps for management.
Dartmouth has received a $3 million NSF grant to increase its PhD Innovation Programs by 50% and develop new multidisciplinary pathways for STEM graduate students focused on entrepreneurship and research translation. The funding will support 19 additional graduate students and enhance the development of sensor technology applications.
Scientists have developed novel gas sensors with improved detection sensitivity and durability by combining organic and inorganic materials. The hybrid sensors boast high durability and high sensitivity, making them suitable for portable gas sensing applications.
Researchers at Purdue University are developing a silicon detector, Si3, to analyze subatomic particles and test the widely accepted standard model of physics. The detector will help investigate why the universe is predominantly made of matter rather than antimatter.
A new laser-based explosive detector can detect minuscule explosives emissions from landmines, offering an alternative to sniffer dogs. The detector uses an ultra-smooth cube of silica crystal with a single curved face and measures the 'ring-down time' of a laser pulse as it passes through the crystal.
Physicists at Columbia University will receive funding to develop sensitive electronics for the Large Hadron Collider, enabling detection of new particles created during high-energy collisions. The electronics will handle a massive rate of collisions while maintaining precision of 0.25 percent.