IITBNF is not just a Facility but has always been the hub for research and innovations, as its guiding mission is to provide a benchmark for state-of-the-art research, learning and outreach in the fields of semiconductor technology and nanotechnology.
Team of IITBNF Electrical Engineering students, won Gandhian Young Technological Innovation (GYTI) - ‘SRISTI social technological Award’ at Rashtrapati Bhawan, New Delhi, for developing a micro-cantilever based eNose System for chemical vapor sensing.
IITBNF students have developed an entire hand-held prototype (eNose System) for chemical vapor sensing using piezo resistive micro-cantilever as sensor with specified chemical coating.
“We would like to express our gratitude to our guide for supporting and motivating us to work hard. We would like to thanks PSA office for funding this project and our entire team involved in this work for their support.” Shared, IITBNF students on winning award.
GYTI’s SRISTI social technological Award is awarded to the best student's projects which have a demonstrable proof of concept/ prototype having significant amount of novelty and social applications are eligible for this award.
It’s the first time that IITBNF received GYTI (SRISTI social technological Award) award.
Total 26 states of India participated and submitted their innovation in GYTI which include 272 technical institutes. Out of total 2363 submitted innovation in the year 2016, 43 were selected as finalist for the award. In which IITBNF won first prize in GYTI (SRISTI social technological Award) award.
Team associated with this project includes Gaurav Gupta (Sr. Research Engg.), Vijay S Palaparthy (Research Scholar), Shambhulingayya.N.D (Project Research Associate), Pallabi Das (Project Research Associate), Prof. V.R.Rao and Prof. Maryam S Baghini.
On asking further about the project, team explained that, “Our major goal was to detect low concentration of explosive in presence of atmospheric interferent, we have targeted mainly on TNT, PETN, RDX. We have also developed- ‘novel pattern recognition algorithm’ which has a capability to differentiate between explosive and non-explosive response. The system also contains a high sensitive multichannel circuit which can be used to measure resistive and capacitive sensors.”