2018FLEX

Building Tiny Gas Sensors Using Hybrid Nanostructures on MEMS

14 Feb 18
4:00 PM - 4:30 PM

Tracks: 2018 MSTC Full Conference, Emerging Technologies

Session 6: Sundip R. Doshi

Wednesday February 14, 2018 at 4:00 PM

Sundip R. Doshi

CEO, AerNos

Building Tiny Gas Sensors Using Hybrid Nanostructures on MEMS

MSTC 2018 Session 6: EMERGING TECHNOLOGIES

Wednesday February 14, 2018 ~ 4:00 - 4:30 PM 

About Sundip R. Doshi

Sundip R. Doshi is Founder and CEO of AerNos, Inc., a nano gas sensor company. 
Mr. Doshi has over 25 years of c-level executive experience in technology and business with expertise in gas sensor development, nanotechnology, semiconductors, IP and patents, product development, software development, software-as-a-service and global supply chain. He has designed, developed and shipped technology products to b2b and b2c customers and distributors in over 64 countries. His customers have included governments, healthcare institutions and multinationals including mobile and technology companies.   
With a passion for entrepreneurship, business and community Mr. Doshi has founded and led CEO technology forums, designed and built a technology office building to attract innovative companies to the region, taught entrepreneurship and mentored at his alma mater and other universities, and helped the state of California to implement state mandated reporting services for the medically indigent population.   
Mr. Doshi received his Bachelor of Science degree with Departmental Honors in Computer Science from California State University, San Bernardino and has been recognized as a College of Natural Science Outstanding Alumnus for his contribution to the university, community and his industry. He was featured in “Who’s working for California,” a California State System publication showcasing the efforts of its graduates making a difference in the California economy.
 

Abstract

We take 20,000 breaths every day, and with each breath we are vulnerable to invisible, harmful gases in the environment. In many cases, these gases can have a negative impact on our health. Technology is enabling people to take better care of their health – through monitoring and access to information. However, with air pollution, we have not been able to act on our personal exposure to harmful airborne gases because there has been no way to monitor what’s in the air we are breathing. Interest in understanding safe and potentially unsafe levels of these pollutants has spawned a variety of gas sensors for consumer use.    Existing gas sensors, however, fall short in key areas. Most gas sensors can detect just one or two gases, a fraction of the harmful gases that could be present in the indoor or outdoor environment. Fewer still can detect at parts-per-billion (ppb) levels, which further limits their value as detecting ppb for many harmful pollutants, but this is essential to environmental monitoring. Lastly, many existing gas sensors require high operating power and take a long time to provide a reading – up to fifteen minutes.    AerNos AerCNT Technology employs hybrid nanostructures and MEMS circuitry to build a gas sensor that dramatically improves pollution monitoring capabilities. AerNos’s miniature gas sensors use doped nanomaterials such as carbon nanotubes because of their stability, sensitivity and selectivity to target gases and can simultaneously detect multiple gases to the ppb within seconds while drawing minimal power.     Rather than use a traditional CMOS foundry, AerNos is working with Rogue Valley Microdevices, a precision MEMS foundry comfortable with advanced materials, to manufacture its gas sensors. Together with its MEMS foundry partner, what challenges did AerNos overcome to manufacture a gas sensor array created with multi-layer hybrid nanostructures? AerNos will describe at a high level how it formulated configurations of doped carbon nanotubes, conducting polymers – coupled with hybrid nanomaterial structures — to create tiny, highly sensitive, low-power MEMS gas sensors that can detect multiple gases simultaneously to the parts-per-billion.