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Sensors

Candy sensor prototype to monitor electrolytes, ovulation, kidney function through saliva

Korea University professors Beelee Chua and Donghyun Lee have developed a health monitoring sensor using saliva collected from a Tootsie Roll candy to detects salt and electrolyte levels, and monitor ovulation status and kidney health.

The easily accessible, low-waste sensor is simply licked.

To make the prototype sensor, a Tootsie roll was flattened and crevices were pressed into its surface to hold the saliva sample. Two thin, reusable aluminum tubes were inserted, acting as electrical contacts, connecting the candy electrode into a circuit with a current source and an output voltage detector. In preliminary tests, the device could measure salt levels that were physiologically relevant for health monitoring in a salt-water solution and artificial saliva. When covered in diluted artificial saliva, the sensor could reliably measure a change in voltage low enough to detect the 10 to 30 percent drop in salts that occurs when a person ovulates. While the maximum salt content in the artificial saliva samples was similar to that of a healthy adult, the researchers used calculations to estimate that conductivities three times higher, which signal a problem with the kidneys, would be within the measurable range of the device.

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COVID 19 Sensors

DNA sensor detects whether virus is present and infectious, including COVID 19

Yi Lu and Benito Marinas at the University of Illinois and University of Texas have developed a sensor that detects both the presence of a virus and whether or not it is infectious, integrating purpose designed DNA fragments and nanopore sensing. They have already studied its potential with the adenovirus and COVID 19.

Current PCR tests detect viral genetic material but cannot distinguish whether a sample is infectious or determine whether a person is contagious.

DNA aptamers bind selectively to infectious viruses. In addition to the nanopore sensor, they could be integrated into other platforms such as color-changing dipsticks.

According to Lu: “With the virus that causes COVID-19, it has been shown that the level of viral RNA has minimal correlation with the virus’s infectivity. In the early stage when a person is infected, the viral RNA is low and difficult to detect, but the person is highly contagious. When a person is recovered and not infectious, the viral RNA level can be very high. Antigen tests follow a similar pattern, though even later than viral RNA. Therefore, viral RNA and antigen tests are both poor in informing whether a virus is infectious or not. It may result in delayed treatment or quarantine, or premature release of those who may still be contagious.”

Plaque assay Tests that detect infectious viruses require special preparation and days of incubation. The new method produces results in 30 minutes to two hours. Since it requires no pre-treatment of the sample, it can be used on viruses that will not grow in the lab.

The sensing technique could be applied to other viruses by tweaking the DNA to target different pathogens. The DNA aptamers used in the sensor can be readily produced with widely available DNA synthesizers, similarly to the RNA probes produced for PCR tests. Nanopore sensors are also commercially available, making the sensing technique readily scalable.

The researchers are working to integrate the sensors into easy to use detection methods, including dipsticks or smartphones.


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Sensors

Wang’s fingertip sweat sensor detects glucose levels

UCSD’s Joe Wang has developed a totally noninvasive sensor and algorithm to detect glucose levels from sweat on the fingertip. The painless, rapid, and accurate system could revolutionize diabetes management. The systemcombines a simple touch-based fingertip sweat electrochemical sensor with a new algorithm that addresses for personal variations toward the accurate estimate of blood glucose concentrations. It leverages the fast sweat rate on the fingertip for rapid assays of natural perspiration, without any sweat stimulation, along with the personalized sweat-response-to-blood concentration translation. A reliable estimate of the blood glucose sensing concentrations can thus be realized through a simple one-time personal precalibration. Such system training leads to a substantially improved accuracy with a Pearson correlation coefficient higher than 0.95, along with an overall mean absolute relative difference of 7.79%, with 100% paired points residing in the A + B region of the Clarke error grid. The speed and simplicity of the touch-based blood-free fingertip sweat assay, and the elimination of periodic blood calibrations, should lead to frequent self-testing of glucose and enhanced patient compliance toward the improved management of diabetes.

Click to view Joe Wang discussing wearable sensors at they 2019 ApplySci conference at Harvard Medical School.

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Sensors

Patch simultaneously monitors blood pressure, biochemical levels

UCSD’s Joe Wang continues to define the future of vital sign monitoring with a combination of advanced chemistry and unobtrusive wearables. Together with Professor Sheng Xu, he has developed a skin patch that continuously tracks blood pressure and heart rate while measuring glucose levels, lactate, and alcohol or caffeine. It is the first wearable device that monitors cardiovascular signals and multiple biochemical levels simultaneously.

Remote monitoring is obviously increasingly important in the age of COVID. A device that can show the earliest signs of distress, including the onset of sepsis, in those at risk of becoming seriously ill during the pandemic, is significant.

The patch could also be used in hospital ICUs for patients of all ages.

According to Wang, “the novelty here is that we take completely different sensors and merge them together on a single small platform as small as a stamp. We can collect so much information with this one wearable and do so in a non-invasive way, without causing discomfort or interruptions to daily activity.”

Professo Xu described the new patch, saying “Each sensor provides a separate picture of a physical or chemical change. Integrating them all in one wearable patch allows us to stitch those different pictures together to get a more comprehensive overview of what’s going on in our bodies.”.

The patch is capable of measuring three parameters at once, one from each sensor: blood pressure, glucose, and either lactate, alcohol or caffeine. The blood pressure sensor sits near the center of the patch. It consists of a set of small ultrasound transducers that are welded to the patch by a conductive ink. A voltage applied to the transducers causes them to send ultrasound waves into the body. When the ultrasound waves bounce off an artery, the sensor detects the echoes and translates the signals into a blood pressure reading.

The chemical sensors are two electrodes that are screen printed on the patch from conductive ink. The electrode that senses lactate, caffeine and alcohol is printed on the right side of the patch; it works by releasing a drug called pilocarpine into the skin to induce sweat and detecting the chemical substances in the sweat. The other electrode, which senses glucose, is printed on the left side; it works by passing a mild electrical current through the skin to release interstitial fluid and measuring the glucose in that fluid. The researchers were interested in measuring these particular biomarkers because they impact blood pressure.

In tests, subjects wore the patch on the neck while performing various combinations of the following tasks: exercising on a stationary bicycle; eating a high-sugar meal; drinking an alcoholic beverage; and drinking a caffeinated beverage. Measurements from the patch closely matched those collected by commercial monitoring devices such as a blood pressure cuff, blood lactate meter, glucometer and breathalyzer. Measurements of the wearers’ caffeine levels were verified with measurements of sweat samples in the lab spiked with caffeine.

One of the biggest challenges in making the patch was eliminating interference between the sensors’ signals. To do this, the researchers had to figure out the optimal spacing between the blood pressure sensor and the chemical sensors. They found that one centimeter of spacing did the trick while keeping the device as small as possible.

The researchers also had to figure out how to physically shield the chemical sensors from the blood pressure sensor. The latter normally comes equipped with a liquid ultrasound gel in order to produce clear readings. But the chemical sensors are also equipped with their own hydrogels, and the problem is that if any liquid gel from the blood pressure sensor flows out and makes contact with the other gels, it will cause interference between the sensors. So instead, the researchers used a solid ultrasound gel, which they found works as well as the liquid version but without the leakage.

Click to view UCSD video

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Sensors

“Ambient intelligence” monitoring to prevent medical errors, send alerts

Stanford’s Fei Fei Li, Arnold Milstein and albert Haque have developed AI and sensor based “ambient intelligence” protocols to prevent medical errors and improve outcomes.

Applications include alerting clinicians and visitors when they fail to sanitize their hands before entering a hospital room; monitoring the elderly for behavioral clues of impending health crises; prompting caregivers, remotely clinicians and patients to make life-saving interventions.

Milstein believes that “we are in a foot race with the complexity of bedside care.” He noted that clinicians in a hospital’s neonatal intensive care unit took 600 bedside actions, per patient, per day and hat ambient intelligence is necessary as “perfect execution of this volume of complex actions is well beyond what is reasonable to expect of even the most conscientious clinical teams.”

The alert systems are being tested to see if they can reduce the number of ICU patients who get nosocomial infections.

In one experiment, a tablet near the door shows a solid green screen that transitions to red when a hygiene failure occurs.

A thermal sensor above an ICU bed would enable the detection of twitching or writhing beneath the sheets, and alert clinical team members.

Constant monitoring by ambient intelligence systems at home could detect clues of serious illness or potential accidents, and alert caregivers to make timely interventions, such as when frail seniors start moving more slowly or stop eating regularly.

Categories
Covid-19 Sensors

Electrostatic and electrochemical sensors rapidly detect airborne viruses

Jang Jae-sung and Ulsan colleagues have developed a method to quickly and accurately detect airborne viruses, to inform public health and quarantine efforts.

Electrostatic force captures and condenses viruses in the air, and a paper electrochemical sensor checks samples for antigens and virus antibodies. Liquid particles as small as 1 micrometer have been successfully collected.

Current methods of airborne sample collection typically use vacuums that can damage the samples, and cannot collect very small particles.

A recent study showed that tests on the type-A H1N1 flu virus showed good results. Jang believes that since the coronavirus is similar in structure and size, the technology should be applicable to COVID-19, which he is researching.

Categories
BCI Brain Sensors

Polymer improves medical implants, could enable brain-computer interface

David Martin and University of Delaware colleagues have developed a bio-synthetic coating for electronic components that could avoid the scarring (and signal disruption) caused by traditional microelectric materials. The PEDOT polymer improved the performance of medical implants by reducing their opposition to an electric current.

Pedot film was used with an antibody to stimulate blood vessel growth after injury, and could be used to detect early stages of tumor growth. The polymers could also help sense or treat brain or nervous system disorders, while versions could theoretically attach peptides, antibodies and DNA.

The team believes that materials, when inserted, could connect brains to a computer.

Categories
Covid-19 Sensors Wearables

Presymptomatic COVID detection with wearables

Stanford’s Michael Snyder and colleagues have used smartwatch data to detect early, presymptomatic COVID-19 in 31 individuals out of a cohort of 5,000.

They demonstrated that COVID-19 infections are associated with alterations in heart rate, steps and sleep in 80% of cases. Physiological alterations were detected prior to, or at, symptom onset in 85% of the positive cases, in some cases nine or more days before symptoms.

A method to detect onset of COVID-19 infection in real-time was developed, which detected 67% of infection cases at or before symptom onset.

The study intends to provide a roadmap to a rapid and universal diagnostic method for the large-scale detection of respiratory viral infections in advance of symptoms.

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Click to view Professor Snyder’s talk at the 2019 ApplySci conference at Stanford.

Categories
Pharmaceuticals Sensors

Sweat sensor monitors drug levels, informs dosage

Sam Emaminejad, Shuyu Lin, Carlos Milla, Ronald Davis and UCLA and Stanford colleagues have developed a watch which monitors drug levels inside the body by analyzing a wearer’s sweat. The goal is individually tailored drug dosages.

Dosages are currently prescribed based on statistical effectiveness averages driven by weight and age. However, constantly changing body chemistry and an ones genetic makeup affect how fast drugs are absorbed, take effect and are eliminated from the body.

Current efforts to personalize the drug dosage rely heavily on repeated blood draws at the hospital. The samples are then sent out to be analyzed in central labs. These solutions are inconvenient, time-consuming, invasive and expensive. That is why they are only performed on a small subset of patients and on rare occasions.

Emaminjegad wanted to “create a wearable technology that can track the profile of medication inside the body continuously and non-invasively” and he seems to have succeeded, using tiny droplets of sweat.

In a recent study, he tracked the effect of acetaminophen, over a period of hours, by stimulating sweat glands with an electric current, and accurately detecting the drug’s unique electrochemical signal, against the backdrop of signals from many other molecules that may be circulating in the body and in higher concentrations than the drug.

The technology can personalize pharmacotherapy approaches, and, according to Emaminejad also be used to monitor medication adherence and drug abuse.

Categories
Brain Sensors

Sensor platform detects dopamine in sweat; could be used for future treatment

Penn State’s Aida Ebrahimi and Maurico Terrones, RPI’s Humberto Terrones, and colleagues, have developed a highly sensitive, non-invasive wearable Dopamine sensor platform. The goal is the use of the technology to develop wearable sensors able to track and eventually treat conditions caused by too much (ie schizophrenia) or too little (ie Parkinson’s, depression) dopamine.

The low cost, flexible detector was achieved by doping a Molybdenum disulfide with Manganes, embedded in two-dimensional transition metal dichalcogenide.

Current dopamine monitoring methods are invasive and require specialized lab equipment. The researchers described the new method as “very simple and scalable.”

Categories
Covid-19 Sensors

First nutrition monitoring wearable tracks vitamin C; could be useful in COVID treatment

UCSD’s Joe Wang has again disrupted chemical sensing, by creating a wearable vitamin C sensor, which is a departure from now common vital sign and activity sensing wearables. This is the first time a wearable has been used to track nutritional intake, a key component of general health and disease prevention.

Vitamin C cannot be synthesized by the human body and must be obtained through food or supplements. It supports immune health, collagen production, wound healing and may be useful in treating cancer, heart disease, and COVID-19. High doses have been linked to reduced mortality in COVID patients with Sepsis and/or ARDS in studies.

The adhesive patch, applied to skin, stimulates sweating, and quickly detects vitamin c levels using flexible electrodes containing the enzyme ascorbate oxidase. When vitamin C is present, the enzyme converts it to dehydroascrobic acid. The resulting consumption of oxygen generates a current that is measured by the device. 

Click to view Prof Wang’s (brilliant) talk at the recent ApplySci conference at Harvard Medical School.

Categories
Covid-19 Sensors

Single sensor could simultaneously detect, differentiate between flu, coronavirus

University of Texas professor Deji Akinwande is developing a graphene sensor that can tell the difference between flu and coronavirus, and test for both simultaneously. The goal is to save time, medical resources, and cost, and speed appropriate treatment, as a second COVID wave could correspond with the next flu season.

The sensor is the size of a micro USB drive and is infused with antibodies of both COVID-19 and influenza. One part of the device is sensitive only to the flu, while another part will react only to the coronavirus.

The researchers will use inactive samples of COVID-19 and influenza for initial testing, and will measure how he sensor connects with the coronavirus’s spike proteins, which help it enter human cells by binding with them.

The work builds on the team‘s previous iron deficiency detecting graphene sensor work. “It became clear that just by changing the antibody, we could pivot the platform to focus on the coronavirus,” Akinwande said.