Nit -Researchers did wonders! Such a device made; So that breast cancer will now be identified at an affordable rate - Bhubaneswar News Nit Rourkela develops biosensor for breast cancer detection

Researchers from Nit Rourkela have developed a new semiconductor biosensor that can identify breast cancer cells without expensive laboratory processes. Under the guidance of Professor Prasanna Kumar Sahu, the team proposed a device called Tunnel Field Effect Transistor (TFET) that can distinguish between cancerous and healthy cells. This technique is cheap and accessible. Jagran correspondent, Rourkela. Researchers from the National Institute of Technology Rourkela (Nit Rourkela) have developed a new bio sensor on semiconductor, which can identify breast cancer cells without the need for complicated or expensive laboratory procedures. This research was done with his researcher, Dr. Priyanka Karmakar, led by Professor Prasanna Kumar Sahu of the Department of Electrical Engineering. The findings of this research were published in the prestigious Microsystems Technologies Journal. Increasing incidence of deadly diseases over the years has focused a global focus on bio-molecules and care centers. From these diseases, cancer is a major global public health problem. In this context, India has seen a rapid increase in breast cancer cases over the past few decades. Simple, acute and cheap testing techniques to detect cancer, as cancer cells often show no initial symptoms of progression, it is necessary to find out early to prevent the disease from spreading and providing timely treatment. There are currently different ways to detect cancer, such as X-rays, mammography, enzyme-linked immunosorbent asce (Elisha), ultrasonography and magnetic resonance imaging (MRI), but most of them need special equipment and trained staff. In addition, these methods are usually not accessible to people living in remote areas. The Kovid-19 epidemic further exposed these challenges as cancer diagnosis and treatment are delayed due to the transfer of medical resources. This makes it clear that simple, acute and cheap testing techniques are needed to detect cancer that does not depend on complex infrastructure. To face these challenges, Dr. Sahu and his team proposed a new method to identify them using the physical properties of cancer cells to meet these challenges. These differences are called dialectical properties, which can help distinguish between healthy and cancer cells. Using this principle, the research team proposed an electronic device called ‘TFNel Field Effect Transistor) on the basis of TCAD simulation results, which can be effectively identified in electronic devices. And here they are adapted to make sensitive detectors of biological elements. Unlike traditional tests, this biosensor needs no chemical or label to function. The difference between cancerous and healthy brushes seems to find out that this sensor is very sensitive to detecting the T47D cancer cells with high density and permeability. It is capable of distinguishing between cancerous and healthy brushes and provides better sensitivity than existing techniques. Another important feature of this technique is its cost-effective nature. TFET -based biosensors are much cheaper than traditional testing methods. This technology has great potential for future medical applications and can develop low cost, easy tools, which can quickly detect breast cancer in clinics, mobile testing units and homes. As the next stage of use, the research team is looking for possible industrial collaboration for manufacturing and scientific verification of this developed technology. In the proposed method, a small cavity is made under the transistor’s hurdle area, in which materials are placed equal to organic cells, and the sensitivity of the device is examined. The sensor reads the change in electrical signals, depending on the properties of the sample and determines whether the cells are cancerous or healthy. Since cancer cells such as T47D have a higher Dytetic content higher than healthy cells such as ACF-10A, the sensor catches these differences quickly and accuracy.- Prof. Prasanna Kumar Sahu, Electrical Engineering Division, Nitr