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Diabetes is determined by tears

07.09.2012

In most cases, diabetes is diagnosed using sensors that measure blood glucose levels. But now scientists have created a new type of biological sensor capable of detecting minute concentrations of glucose in human tears, saliva and urine as well.

The innovative invention promises to significantly reduce the cost of diagnosing diabetes, since its manufacturing technology is low-cost and uncomplicated. This method will also be convenient for patients, since they do not have to constantly donate blood. The developers promise that with the introduction of this method, the number of injections will be significantly reduced or completely eliminated. "It's essentially a non-invasive way to measure glucose in the body," said one of the project leaders, Jonathan Klassen, a former Purdue University graduate student and now a researcher at the US Naval Research Laboratory.

The sensor that detects glucose levels consists of three main parts: nanosheets that resemble microscopic rose petals and are made of graphene, platinum nanoparticles, and the enzyme glucose oxidase. Each 'petal' is made up of multiple layers of graphene. Its edges have incomplete chemical bonds, that is, defects to which platinum nanoparticles can attach. Their connection with nanoplates forms electrodes. The glucose oxidase enzyme then attaches to the platinum nanoparticles. This enzyme converts glucose into hydrogen peroxide, which in turn sends a signal to the electrode.

The sensor is able to detect glucose at concentrations as low as 0,3 micromoles. Thus, it is much more sensitive than other biosensors based on graphene, nanocarbon tubes, graphite, and metal nanoparticles.

So far, the invention is used to diagnose diabetes, but the same technology can be successfully applied in other areas of medicine. It is enough to change one enzyme for another, and you can use this method in tests for Parkinson's and Alzheimer's disease. It can even be used to control the degree of alcohol concentration in exhaled air. The method is economical and fast, and the test equipment is simple and portable.

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Trillion frames per second camera 06.02.2020

Scientists from the California Institute of Technology have invented an ultra-high-speed camera capable of shooting video at a speed of up to 1 trillion frames per second, in which transparent objects are involved. The principle of this camera is called phase-sensitive compressed ultrafast photography (pCUP), and it is a further development of the principle of photography, developed about a decade ago and used to capture the movement of light in slow motion.

The combination of pCUP technology with the technology of the so-called contrast phase microscopy allows the camera to capture not only transparent objects at the highest speed, it is able to capture "ephemeral" phenomena, such as the propagation of shock waves in a gaseous medium and inside crystals, the passage of signals through the neurons of nerve tissues, and much more. other. Phase contrast microscopy was developed specifically to improve the image quality of transparent and translucent objects such as living cells.

To store the data received by the new ultra-high-speed camera, LLE-CUP ultra-high-speed encoding and compression technology has been developed, which eliminates data loss and quality. In this technology, one single reference image is taken and then all the movement captured during the shooting is described.

Once a reference image has been captured, LLE-CUP is so fast that it captures the propagation of light, which is not possible with other slower acquisition and encoding methods. As a demonstration of the possibilities of all this, scientists filmed the process of propagation of a shock wave in water and the propagation of a pulse of laser light through a part of a transparent material.

Note that this technology is still at the very early stage of its development, however, it is already capable of bringing great benefits in some areas of science, including physics, chemistry and biology. The pCUP camera will allow scientists to see in real time the propagation of signals and communication between neurons, the propagation of a flame front in an engine's combustion chamber, and much more.

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