Currently used techniques for cytokine detection include enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR), which, although reliable, are highly time-consuming. They also require trained personnel and lengthy sample preparation or analysis times, which can take more than 6 hours to obtain results.
However, the new sensor takes only 30 minutes in comparison and is also cost-effective to develop therapeutics for conditions such as multiple sclerosis, diabetes and Alzheimer's disease, the team said. He said the technique "can detect even trace-level molecules with high precision and selectivity."
"It uses surface enhanced Raman spectroscopy to detect analytes even at low concentrations, and is based on semiconductor process technology and works on the principle of surface enhanced Raman scattering (SERS)," the institute said.
“This technology which is currently in its development phase, has provided exciting and encouraging results for three biomarkers i.e. interleukin-6 (IL-6), interleukin-beta (IL-beta), and TNF-alpha, which are key pro -Are inflammatory cytokines. By inflammatory cells,” said Professor Ajay Aggarwal, department of electrical engineering, IIT Jodhpur.
“As of now, the testing is done for controlled samples, but the team aims to take the technology to clinical trials soon. The group is also using this technology to develop detection protocols for early stage and rapid diagnosis of sepsis and fungal infections,” he said.
The findings have been published at the 2023 IEEE Applied Sensing Conference (APSCON).
However, the new sensor takes only 30 minutes in comparison and is also cost-effective to develop therapeutics for conditions such as multiple sclerosis, diabetes and Alzheimer's disease, the team said. He said the technique "can detect even trace-level molecules with high precision and selectivity."
"It uses surface enhanced Raman spectroscopy to detect analytes even at low concentrations, and is based on semiconductor process technology and works on the principle of surface enhanced Raman scattering (SERS)," the institute said.
“This technology which is currently in its development phase, has provided exciting and encouraging results for three biomarkers i.e. interleukin-6 (IL-6), interleukin-beta (IL-beta), and TNF-alpha, which are key pro -Are inflammatory cytokines. By inflammatory cells,” said Professor Ajay Aggarwal, department of electrical engineering, IIT Jodhpur.
“As of now, the testing is done for controlled samples, but the team aims to take the technology to clinical trials soon. The group is also using this technology to develop detection protocols for early stage and rapid diagnosis of sepsis and fungal infections,” he said.
The findings have been published at the 2023 IEEE Applied Sensing Conference (APSCON).
