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In Situ Soil Nitrate Sensor

The invention is used for determining in-situ nitrate concentrations in soil solution using either ISE (Ion Selective Electrode) or fiber optic spectroscopy when the liquid in the porous cup of the in-situ probe is equilibrated with surrounding soil solution through the diffusion process.

Ultra-Sensitive Polybrominated Diphenyl Ether (PBDE) Detector

Polybrominated diphenyl ethers (PBDEs) are a common brominated flame retardant, which are commonly found in consumer products. Because they are not chemically bound to polymers, PBDEs are blended in during formation and have the ability to migrate from products into the environment.  Studies suggest that PBDEs pose potential health risks such as hormone disruptors, adverse neurobehavioral toxins and reproductive or developmental effects.  For this reason it is important to have the capability to sense the presence of PBDEs even in low concentrations.

Near-Zero Power Fully Integrated CMOS Temperature Sensor

With the planned proliferation of the Internet-of-Things, billions of power limited wireless sensing devices are expected to be sold worldwide.  Within that group is a large subset of applications in which temperature sensing will be important.  Needed for this application space are ultra-small and ultra-low-power temperature sensors. 

Hydrogel Thin Film-Based Dynamic Structural Color System for Sensing, Camouflage, and Adaptive Optics

UCLA researchers from the Department of Material Science and Engineering have developed a novel hydrogel color system that can be used for dynamic sensing, camouflage, and adaptive optics.

Nano Biosensing System

Metabolites can provide real-time information about the state of a person’s health. Devices that can detect metabolites are commercially available, but are unable to detect very low concentrations of metabolites. Researchers at UCI have developed surfaces that use nanosensors to detect much lower concentrations of such metabolites.

Air Quality Monitoring Using Mobile Microscopy And Machine Learning

UCLA researchers have developed a novel method to monitor air quality using mobile microscopy and machine learning.

Automatic Personal Daily Activity Tracking

Researchers at UCI have developed an entirely unobtrusive method for chronicling and analyzing an individual’s daily activities over time, which relies on tracking user activity via their smartphone. This technology has important applications in health and behavior monitoring, where it can be used to signal the early stages of various diseases and disorders.

Ultra-Durable Concrete with Self-Sensing Properties

Concrete is a major material component for transportation, energy, water, and building infrastructure systems. UCI researchers have developed a new class of concrete materials with extraordinarily high damage tolerance and improved properties for long-term health monitoring.

Colorimetric Sensing Of Amines

An affordable and easily synthesized indicator that can be applied to monitor reaction progress in a system using only one inexpensive and non-toxic agent.

Accelerating palladium nanowire hydrogen sensors using engineered nanofiltration layers

Researchers at UCI have developed a method for enhancing existing hydrogen gas sensors, leading to as much as a 20-fold improvement in sensor response and recovery times.

Portable waterborne pathogen detector

The inventors at the University of California, Irvine, have developed an automated, easy-to-use digital PCR system that can be used at the time of sample collection, making it highly effective in microbial pathogen analysis in resource-limited settings and extreme conditions.

A New and Cost-Effective Technology to Produce Hybrid-Glass/Optical Bubble Probes

The ability to accurately quantify gas volumes in liquid flows has important applications in environmental science and industry. For example, environmental processes that significantly contribute to changes in earth’s climate, such as methane seeps from the sea floor and the exchange of gases between the ocean and atmosphere at the sea surface, demand precise sensors that are small and sensitive enough to measure the ratio of liquids and gases in these bubbly mixtures. These measurements also play a critical role in the operational efficiency of a wide variety of different engineering processes. Applications include, the monitoring the optimal amount of bubbled oxygen in the treatment of waste water and sewage, and the oil and gas industry, especially in undersea oil pipelines in the Gulf of Mexico alone, have spent billions of dollars annually on added refinement techniques to remove seawater that could be preventable if sensors were able to measure the ratio of crude oil, seawater and gas as the mixture is pumped through pipelines. These challenges exist in both research and industry because the current manufacturing process for making the needed gas/liquid probes have significant cost constraints. Clearly, there is a need for a new and cost-effective technology to produce these probes.

Combined Greywater-Storm Water System With Forecast Integration

Water is a scarce resource in some part of the United States, and recent droughts in the Midwest and the South have elevated the issue of water scarcity to a national level. Existing water sources will face increasing strain due to population growth and climate change, and financial and regulatory barriers will prevent the development of new sources. One method to alleviate water scarcity is storm water capture. Storm water can be used for non-potable applications such as irrigation, laundry, and toilet flushing to significantly reduce domestic municipal water consumption. However, in arid regions of the US, rain comes in short, intense storms only a few months out of the year, and the duration and intensity of these storms require large storage tank volumes for storm water capture to be financially feasible.    One solution is to integrate storm water capture with greywater capture. Greywater is a reliable source of water for domestic reuse, and includes water from washbasins, laundry, and showers (kitchen sinks and water for toilet flushing are considered blackwater). Combining greywater-storm water in the same collection system allows for a much smaller storage tank. A UC Berkeley researcher, along with other researchers, have developed aforecast-integrated automated control system for combined greywater-storm water storage and reuse. A simple and reliable approach for managing greywater and storm water collection at a household or community level is provided, allowing for the near-continuous monitoring and adjustment of water quantity and quality in a combined greywater-storm water storage tank based on monitored feedback/output from individual, tank-specific sensors and/or sensors located elsewhere in the water collection system.   

Novel Sensor to Transduce and Digitalize Temperature Utilizing Near-Zero-Power Levels

Temperature sensors are routinely found in devices used to monitor the environment, the human body, industrial equipment, and beyond. In many such applications, the energy available from batteries or the power available from energy harvesters is extremely limited, thus the power consumption of sensing should be minimized in order to maximize operational lifetime.

The Flying Wing Autonomous Underwater Glider Technology

The underwater glider can be categorized as an autonomous underwater vehicle (AUV) that does not rely on an electrically driven propeller, but relies on small changes in its buoyancy and wings to move up and down. The pitch and roll is controlled by using an adjustable ballast. The AUV has been quite useful for collecting oceanographic data due to its unique propulsion system that uses very little energy and its ability to be on a sampling mission for weeks to months.

Quantification Of Plant Chlorophyll Content Using Google Glass

UCLA researchers in the Department of Electrical Engineering have invented a novel device that can quantify chlorophyll concentration in plants using a custom-designed Google Glass app.

Mechanical Process For Creating Particles Using Two Plates

UCLA researchers in the Department of Chemistry and Biochemistry & Physics and Astronomy have developed a novel method to lithograph two polished solid surfaces by using a simple mechanical alignment jig with piezoelectric control and a method of pressing them together and solidifying a material.

Determining Oil Well Connectivity Using Nanoparticles

UCLA researchers in the Department of Chemistry have developed a method of using nanowires to detect underground fluid reservoir interconnectivities and reservoir contents with high accuracy.

Enhanced Cell/Bead Encapsulation Via Acoustic Focusing

The invention consists of a multi-channel, droplet-generating microfluidic device with a strategically placed feature. The feature vibrates in order to counteract particle-trapping micro-vortices formed in the device. Counteracting these vortices allows for single particle encapsulation in the droplets formed by the device and makes this technology a good candidate for use in single cell diagnostics and drug delivery systems.

Sensitive Detection Of Chemical Species Using A Bacterial Display Sandwich Assay

96 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Calibri; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} Endocrine disrupting compounds are found in increasing amounts in our environment, originating from pesticides, plasticizers, and pharmaceuticals, among other sources. These compounds have been implicated in diseases such as obesity, diabetes, and cancer. The list of chemicals that disrupt normal hormone function is growing at an alarming rate, making it crucially important to find sources of contamination and identify new compounds that display this ability. However, there is currently no broad-spectrum, rapid test for these compounds, as they are difficult to monitor because of their high potency and chemical dissimilarity.   To address this, UC Berkeley researchers have developed a new detection system and method for the sensitive detection of trace compounds using electrochemical methods.  This platform is both fast and portable, and it requires no specialized skills to perform. This system enables both the detection of many detrimental compounds and signal amplification from impedance measurements due to the binding of bacteria to a modified electrode. The researchers were able to test the system finding sub-ppb levels of estradiol and ppm levels of bisphenol A in complex solutions. This approach should be broadly applicable to the detection of chemically diverse classes of compounds that bind to a single receptor.  

Advanced Chemical Sensing Method and Apparatus

Conventional chemical sensors or chemical resistors detect the molecule concentration by monitoring the resistance change caused by the reaction near the sensing material surface. One of the problems with these systems is with drift, when over time the analyte molecules poison the device’s sensing surface, causing weaker performance on selectivity and sensitivity. This often requires rigorous and timely calibrations to the sensor, which involves human intervention, and often times complete sensor replacement. To address this problem, researchers at the University of California, Berkeley, have developed a vertical platform that dramatically improves the sensor’s ability to manage and recover from the poison environments. By examining and manipulating the sensing plane vis-à-vis the near field surface, researchers have demonstrated an effective and robust chemical sensing platform for a range of gas sensing applications.

Individual Identity Verified Through Device-Free, WiFi Based Framework

Researchers at the University of California, Davis have developed a device-free, WiFi based framework that can isolate individual identity, from a small group of users, simply by observing variations in WiFi signals through a user’s gait.

Nuclear Magnetic Resonance System for Determining Oil and Water Compositions in Drilling Mud

Researchers at the University of California, Davis have developed a nuclear magnetic resonance (NMR) system and method for determining oil and water compositions in drilling mud.

Self-Cleaning Mass Sensor For Particulate Matter Monitoring

Airborne particulates (such as vehicle exhaust, dust, and metallics) are a health hazard.  Monitors for measuring particulate matter (PM) concentrations in air are typically designed for stationary industrial use; and while they are quite sensitive, they are also bulky, heavy, and expensive.  Accordingly, there is a need for PM concentration monitors that are inexpensive and portable so that they can be more pervasive, and also used by mass-market consumers. Recently, various types of portable PM monitors have been developed.  One class of monitor uses optical technology to measure particulates flowing through (not deposited on) the device.  This optical technology is not sensitive to extremely small particles (with diameters of 200 nanometers or less), yet these small particles are a serious health hazard.  Another class of PM monitor uses various technologies to measure the mass of particles deposited on (not flowing through) the device.  This type of monitor can be quite sensitive, but eventually, it can become overloaded with deposited particles.  Moreover, multiple layers of particles can eliminate the possibility of determining the chemical nature of the particles. To address these shortcomings, researchers at UC Berkeley have developed a means of periodically cleaning deposited particles from mass-sensing components of deposit-based PM sensors.  The Berkeley technology results in PM sensors that are not only portable and low-cost, but also have long-lasting functionality.

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