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HomeHealthReal-Time Infectious Disease Virus Detection: Molecular Fingerprinting Technology

Real-Time Infectious Disease Virus Detection: Molecular Fingerprinting Technology

A team of researchers at Pohang University of Science​ and Technology (POSTECH) has created a new and highly sensitive nano-spectral sensor that overcomes current limitations. Professor Kyoung-Duck Park and Taeyoung Moon ⁢and Huitae ⁣Joo, PhD candidates, from the Department of Physics, are behind the breakthrough.

A single nano-spectroscopic sensor ⁢has been developed to detect molecular fingerprints. The COVID-19 pandemic has highlighted the need for fast and accurate analytical methods ​to prepare for possible future virus outbreaks. Raman​ spectroscopy, ​which uses⁢ gold‌ nanostructures, provides ⁤insight into the internal ⁢structure and chemical properties of materials⁢ by ‍analyzing the unique vibrations of molecules, also known as “molecular fingerprints,” using light with exceptional sensitivity. This technique could be essential in determining the​ presence of a virus.​ However, The man spectroscopy sensors are limited in their ability to detect only one ⁤type of virus with a single device, ⁣which ‌affects productivity, detection ‌speed, and cost⁤ in clinical applications. In⁤ contrast, the research team has created⁢ a ‌one-dimensional structure at ⁢the millimeter scale with gold nanogaps that can accommodate only a single molecule tightly.​ This advancement allows for large-area, high-sensitivity Raman spectroscopic sensing. Additionally, they ⁤have successfully integrated flexible materials onto the substrate of the gold nanogap spectroscopic sensor. Finally, the ‌team has‌ developed a source technology ‍for a broadband active n.The ⁣nano-spectral sensor has the capability to detect specific substances using a ⁢single device by widening the nanogap to the size of a virus and adjusting its width to accommodate different materials, including viruses. In addition,‍ the sensitivity and control of the sensor ⁣were enhanced by⁣ incorporating adaptive optics technology from fields like space optics. This includes⁤ the James Webb Telescope. Furthermore, a conceptual model was developed to extend the one-dimensional ⁢structure of the sensor into a⁤ two-dimensional spectroscopic sensor, confirming the ability to amplify Raman‌ spectroscopic signals.The research team has ​developed​ a method that can amplify the signal ⁢of viruses by up to ‍several billion​ times. This means that it is ⁢now​ possible to quickly ‌and accurately detect the presence of ⁢viruses in real-time, a process that used to take ⁢days. The team’s work, which is ​currently awaiting patent approval, is expected⁢ to be‌ used for rapid and highly sensitive real-time testing in the‌ event of​ unexpected outbreaks like COVID-19, in order to prevent the spread of‍ disease. Lead author Taeyoung Moon highlighted the importance ⁣of their achievement, stating that it will advance scientific research⁢ and help identify unique virus properties.The study not only advances the understanding of materials ranging from molecules to viruses, but it ⁤also makes practical applications easier by allowing for the quick detection of a⁣ wide range of new viruses using a custom sensor. The research ⁢was a collaboration between Professor‌ Dai-Sik Kim’s team from UNIST’s ‍Department of Physics and ​Professor Yung Doug Suh’s team⁤ from UNIST’s Department of Chemistry. The Deputy Director of the Center for Multidimensional Carbon Materials at the Institute for Basic ⁤Science⁤ (IBS), Professor Yung Doug ‍Suh, ⁢led the team. In addition, measurements ⁣were carried out by ⁢Yeonjeong Koo, Mingu ⁢Kang, and Hyeongwoo ‌Lee from POSTECH’s Department of Physics. The research results have significant implications.A recent study ‍has been published⁤ in the international journal Nano Letters.