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For people with celiac disease or gluten intolerances, dining out can be stressful. Even trace amounts of the protein—found in wheat, barley, and rye—in a whole plate of food can cause adverse reactions.Now MIT spinout Nima—co-founded by CEO Shireen Yates MBA '13 and Chief Product Officer Scott Sundvor '12—has developed a portable, highly sensitive gluten sensor that lets diners know if their food is, indeed, safe to eat.According to the National Institutes of Health, celiac disease, an autoimmune disorder that leads to intestinal damage when gluten is eaten, affects around 1 percent of the U.S. population, or roughly 3 million people. According to the National Foundation for Celiac Awareness, millions more may suffer from nonceliac gluten intolerances.Nima's sensor, also called Nima, is a 3-inch-tall triangular device with disposable capsules. Diners put a sample of food—about the size of a pea—or liquid into the capsule, screw on the top, and insert the capsule into the device, which mixes the food into a solution that detects gluten. In two to three minutes, a digital display appears on the sensor, indicating if the food sample does or doesn't contain gluten.Every time someone runs a test, the result is automatically sent to an app Nima has developed. The diner can enter information about where and what they ate, and whether the food contained gluten. Any Nima user can log in to see the results.The aim is to create "a peace of mind at mealtime," Sundvor says. By amassing data on food, he adds, the startup hopes to provide people with better information about what they eat. "Right now, we don't know what's in our food, whether it is allergens, pesticides, or other harmful chemicals," he says. "There's not a good way to get that data. We want to give people the ability to understand their food better and how it affects their health."Sensitive sensorNima can sense gluten at 20 parts per million (ppm) or more, the maximum concentration for "gluten-free" foods as determined by the U.S. Food and Drug Administration.Nima's high sensitivity comes from the immunoassay inside the sensor, developed primarily by MIT chemical engineering alumnus Jingqing Zhang SM '12, PhD '13, who is now the lead scientist at Nima. The immunoassay contains custom antibodies that are highly sensitive to gluten molecules. When gluten is present, the antibody bonds to the gluten molecules, causing a color change in the immunoassay, which is captured by an optical reader. If any gluten is detected, the sensor will display an icon with a "gluten found" message. If the sample has less than 20 ppm of gluten, the sensor will display a smiley face.Nima can detect gluten in foods that are labeled as "gluten-free" but may have picked up microscopic amounts of the protein during the production or cooking process. A steak may have been fried on the same grill as gluten-based foods, for example, or a salad dressing may contain trace amounts of wheat flour. The device can even detect if someone touched a piece of bread that contained gluten, before handling the food in question. "It's the equivalent to finding a breadcrumb in an entire plate of food," Sundvor says.Moreover, Sundvor says, the device seamlessly integrates that chemistry with electronics and mechanics. "We've created this grinding, mixing, and extracting system, and together it works really well," he says.Filling the consumer gapNima was founded in 2013 as GlutenTech, when Yates, then an MIT Sloan School of Management student, dreamt up an idea for a portable gluten sensor. Seeking an engineer to bring the device to life, she met Sundvor, a recent MIT graduate who had studied mechanical engineering and product design.Together, they set up shop at the now-defunct MIT Beehive, a startup incubator on MIT's campus, with aims of filling "a huge consumer gap" in food-allergen testing, Sundvor says. Conventional at-home tests, he says, require equipment such as test tubes, pipettes, a mortar and pestle, and microscale. "You can't bring test tubes to a restaurant," he says.Sundvor began working long hours in an MIT machine shop building a prototype, while Yates brought the idea around to her MIT Sloan classes. Of note was a particular pricing class, where students sketched out pricing and demand models for the product. "The result of that was that I found there's a real opportunity here: There's a need and a willingness to pay," Yates says.In spring 2013, GlutenTech entered the MIT $100K Entrepreneurship Competition with a proof-of-concept model, and they earned the Audience Choice Award in the Accelerate contest. That summer, the team entered the Global Founders Skills Accelerator (GFSA), a 12-week startup program held at the Martin Trust Center for MIT Entrepreneurship.Participating in the $100K forced the team develop a business plan they could pitch to investors, Yates says. "It was a testing period to see, if we position ourselves in a certain way, will it resonate with investors?" she says."The GFSA was incredible," Sundvor adds, "It gave us the opportunity to have a safe space to go full-out on this for three months, have mentors, and have just enough money to squeak by."By the time the GFSA Demo Day rolled around in September, GlutenTech had its first working prototypes—"which were so ugly," Sundvor says, laughing.The 9-inch-long aluminum tubes "looked like lightsaber handles," Sundvor says. Inside the tubes were chemicals used in conventional food tests, and the system took about 10 minutes to detect gluten. When it did, a bright light flashed and a loud alarm went off. "We got many looks at restaurants," Sundvor says. "But they worked and got us our first investors."Three years ago, GlutenTech moved headquarters from Boston to San Francisco, and changed its name to 6SensorLabs. This year, they renamed the startup as Nima. In three years, the startup has gained more than $14 million in capital venture funding.New opportunitiesConsumers are the startup's first market. But as more individuals start using Nima, restaurants will have more data on their food to better serve patrons, Sundvor says. A couple of restaurants in San Francisco, in fact, are working with Nima on validating their gluten-free menu items.Next year, Nima plans to release two new sensors, one for peanuts and one for dairy, which is "surprisingly sneaky," Sundvor says. Bread at a restaurant, for instance, could have been fried in a pan with remnants of butter. "A lot of people are getting sick from dairy allergies, so that will be a big market," Sundvor says.Reference:LM50BIM3/NOPBDS18B20-PAR+T&RAD592BNZ 

Sending a password or secret code over airborne radio waves like WiFi or Bluetooth means anyone can eavesdrop, making those transmissions vulnerable to hackers who can attempt to break the encrypted code.Now, University of Washington computer scientists and electrical engineers have devised a way to send secure passwords through the human body—using benign, low-frequency transmissions generated by fingerprint sensors and touchpads on consumer devices."Fingerprint sensors have so far been used as an input device. What is cool is that we've shown for the first time that fingerprint sensors can be re-purposed to send out information that is confined to the body," said senior author Shyam Gollakota, UW assistant professor of computer science and engineering.These "on-body" transmissions offer a more secure way to transmit authenticating information between devices that touch parts of your body—such as a smart door lock or wearable medical device—and a phone or device that confirms your identity by asking you to type in a password.This new technique, which leverages the signals already generated by fingerprint sensors on smartphones and laptop touchpads to transmit data in new ways, is described in a paper presented in September at the 2016 Association for Computing Machinery's International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) in Germany."Let's say I want to open a door using an electronic smart lock," said co-lead author Merhdad Hessar, a UW electrical engineering doctoral student. "I can touch the doorknob and touch the fingerprint sensor on my phone and transmit my secret credentials through my body to open the door, without leaking that personal information over the air."The research team tested the technique on iPhone and other fingerprint sensors, as well as Lenovo laptop trackpads and the Adafruit capacitive touchpad. In tests with 10 different subjects, they were able to generate usable on-body transmissions on people of different heights, weights and body types. The system also worked when subjects were in motion—including while they walked and moved their arms."We showed that it works in different postures like standing, sitting and sleeping," said co-lead author Vikram Iyer, a UW electrical engineering doctoral student. "We can also get a strong signal throughout your body. The receivers can be anywhere—on your leg, chest, hands—and still work."The research team from the UW's Networks and Mobile Systems Lab systematically analyzed smartphone sensors to understand which of them generates low-frequency transmissions below 30 megahertz that travel well through the human body but don't propagate over the air.The researchers found that fingerprint sensors and touchpads generate signals in the 2 to 10 megahertz range and employ capacitive coupling to sense where your finger is in space, and to identify the ridges and valleys that form unique fingerprint patterns.Normally, sensors use these signals to receive input about your finger. But the UW engineers devised a way to use these signals as output that corresponds to data contained in a password or access code. When entered on a smartphone, data that authenticates your identity can travel securely through your body to a receiver embedded in a device that needs to confirm who you are.Their process employs a sequence of finger scans to encode and transmit data. Performing a finger scan correlates to a 1-bit of digital data and not performing the scan correlates to a 0-bit.The technology could also be useful for secure key transmissions to medical devices such as glucose monitors or insulin pumps, which seek to confirm someone's identity before sending or sharing data.The team achieved bit rates of 50 bits per second on laptop touchpads and 25 bits per second with fingerprint sensors—fast enough to send a simple password or numerical code through the body and to a receiver within seconds.This represents only a first step, the researchers say. Data can be transmitted through the body even faster if fingerprint sensor manufacturers provide more access to their software.Reference:HMR3400HMC6343HMR3000-D00-232HMR2300-D00-485 

when University of Wisconsin–Madison engineers announced in the journal Nature Communications that they had developed transparent sensors for use in imaging the brain, researchers around the world took notice. Then the requests came flooding in. “So many research groups started asking us for these devices that we couldn’t keep up,” says Zhenqiang (Jack) Ma, the Lynn H. Matthias Professor and Vilas Distinguished Achievement Professor in electrical and computer engineering at UW–Madison.Ma’s group is a world leader in developing revolutionary flexible electronic devices. The see-through, implantable micro-electrode arrays were light years beyond anything ever created.Although he and collaborator Justin Williams, the Vilas Distinguished Achievement Professor in biomedical engineering and neurological surgery at UW–Madison, patented the technology through the Wisconsin Alumni Research Foundation, they saw its potential for advancements in research.“That little step has already resulted in an explosion of research in this field,” says Williams. “We didn’t want to keep this technology in our lab. We wanted to share it and expand the boundaries of its applications.”As a result, in a paper published in the journal Nature Protocols, the researchers have described in great detail how to fabricate and use transparent graphene neural electrode arrays in applications in electrophysiology, fluorescent microscopy, optical coherence tomography, and optogenetics. “We described how to do these things so we can start working on the next generation,” says Ma.Now, not only are the UW–Madison researchers looking at ways to improve and build upon the technology, they also are seeking to expand its applications from neuroscience into areas such as research of stroke, epilepsy, Parkinson’s disease, cardiac conditions, and many others. And they hope other researchers do the same.“We didn’t want to keep this technology in our lab. We wanted to share it and expand the boundaries of its applications.”“This paper is a gateway for other groups to explore the huge potential from here,” says Ma. “Our technology demonstrates one of the key in vivo applications of graphene. We expect more revolutionary research will follow in this interdisciplinary field.”Funding for the initial research came from the Reliable Neural-Interface Technology program at the U.S. Defense Advanced Research Projects Agency. Other authors on the Nature Protocols paper include Dong-Wook Park, Sarah Brodnick, Jared Ness, Lisa Krugner-Higby, Solomon Mikael, Joseph Novello, Hyungsoo Kim, Dong-Hyun Baek, Jihye Bong, Kyle Swanson and Wendell Lake of UW–Madison; Farid Atry, Seth Frye and Ramin Pashaie of the University of Wisconsin-Milwaukee; Amelia Sandberg of Medtronic PLC Neuromodulation; Thomas Richner of the University of Washington; and Sanitta Thongpang of Mahidol University in Bangkok, Thailand.Reference:ISL29120IROZ-T7ADJD-J823TCS3200D-TR Like this Article? Register to receive updates here 

As humans, we sniff out different scents and aromas using chemical receptors in our noses. In technological gas detection, however, there are a whole host of other methods available. One such method is to use infrared lasers, passing a laser beam through the gas to an adjacent separate detector, which measures the degree of light attenuation it causes.TU Wien’s tiny new sensor now brings together both sides within a single component, making it possible to use the same microscopic structure for both the emission and detection of infrared radiation.“The lasers that we produce are a far cry from ordinary laser pointers ,” explains Rolf Szedlak from the Institute of Solid State Electronics at TU Wien. “We make what are known as quantum cascade lasers. They are made up of a sophisticated layered system of different materials and emit light in the infrared range.”When an electrical voltage is applied to this layered system, electrons pass through the laser. With the right selection of materials and layer thicknesses, the electrons always lose some of their energy when passing from one layer into the next. This energy is released in the form of light, creating an infrared laser beam.“Our quantum cascade lasers are circular, with a diameter of less than half a millimetre,” reports Prof. Gottfried Strasser, head of the Center for Micro- and Nanostructures at TU Wien. “Their geometric properties help to ensure that the laser only emits light at a very specific wavelength.”“This is perfect for chemical analysis of gases, as many gases absorb only very specific amounts of infrared light,” explains Prof. Bernhard Lendl from the Institute of Chemical Technologies and Analytics at TU Wien. Gases can thus be reliably detected using their own individual infrared ‘fingerprint’. Doing so requires a laser with the correct wavelength and a detector that measures the amount of infrared radiation swallowed up by the gas.“Our microscopic structure has the major advantage of being a laser and detector in one,” professes Rolf Szedlak. Two concentric quantum cascade rings are fitted for this purpose, which can both (depending on the operating mode) emit and detect light, even doing so at two slightly different wavelengths.One ring emits the laser light which passes through the gas before being reflected back by a mirror. The second ring then receives the reflected light and measures its strength. The two rings then immediately switch their roles, allowing the next measurement to be carried out.In testing this new form of sensor, the TU Wien research team faced a truly daunting challenge: they had to differentiate isobutene and isobutane – two molecules which, in addition to confusingly similar names, also possess very similar chemical properties. The microscopic sensors passed this test with flying colours, reliably identifying both of the gases.“Combining laser and detector brings many advantages,” says Gottfried Strasser. “It allows for the production of extremely compact sensors, and conceivably, even an entire array – i.e. a cluster of microsensors – housed on a single chip and able to operate on several different wavelengths simultaneously.” The application possibilities are virtually endless, ranging from environmental technology to medicine. 

Manufacturer of humidity, temperature and flow sensor solutions, Sensirion, offers an on-package filter membrane option for selected humidity sensors in the SHT3x series. The SHT3x membrane is a PTFE film that protects the sensor opening from water and dust according to IP67.It thus allows sensor use under harsh environmental conditions, where spray water and high exposure to dust is challenging for accurate sensor performance.The membrane cover is attached to the sensor package by a double-faced adhesive tape, which is designed to stay on the package over the lifetime of the sensor. The whole package withstands multiple reflow cycles.Due to minimal package volume and the membrane’s high water vapour permeability, the response time of the relative humidity and temperature signal is identical to the value achieved by the uncovered sensor. Although the membrane option provides perfect protection against water and dust ingress according to IP67, it does not in general prevent contamination from volatile chemicals. All SHT3x sensors can be ordered in tape and reel packaging; the reels are delivered in sealed antistatic ESD bags.All humidity sensors in the SHT3x series feature increased intelligence and reliability. Their functionality includes enhanced signal processing, two distinctive and user-selectable I2C addresses and communication speeds of up to 1MHz. The DFN package can be integrated into a broad variety of applications, thanks to its footprint of 2.5x2.5x0.9mm3 and the wide supply voltage range of 2.4-5.5V. As with all Sensirion sensors, the SHT3x is based on the unique CMOSens Technology, which integrates the sensing element and read-out electronics on a single chip, enabling high production volume at an exceptional price-performance ratio.Reference:HIH-4010-001HIH-5030-001HS1100HIH-4030-001 

Omron Electronic Components Europe is launching a new dust sensor module, offering four times greater sensitivity compared with other LED dust sensors on the market. The higher performance and greater sensitivity of the sensor will allow tighter pollution control as well as the creation of more effective air purifiers and similar systems. Omron’s Dust Sensor is able to detect particles as small as 1 micron, less than half the size of the PM2.5 standard for fine particulate matter in the atmosphere.It also features a high air throughput, of around 6 times that of established alternatives, giving improved sensitivity of response to changes in the environment.Commenting, Gabriele Fulco, European Product Marketing Manager Sensors, Omron said “Controlling air pollution including emissions from vehicles as well as cigarette and other smoke is a major concern for city authorities and building managers alike"."It is only possible to control what can be detected, so Omron believes it is making a major contribution to the environment and public health by launching this new, highly sensitive dust sensor.”The new Omron dust sensor is highly compact, sized just 50mm x 45mm x 20mm – giving it an overall size of 20% less than popular alternative solutions. The sensor is part of a growing range of Omron solutions for HVAC and other environmental systems.They include the D6F-PH MEMS pressure sensor and the velocity sensors D6F-V which incorporate a Dust segregation System (DSS). The design of all Omron sensors guarantees very sensitive and temperature compensated measurement of air for a precise HVAC control.Reference:GP2Y1+GP2Y1010AU0FDN7C3CA006SM-PWM-01C