Automation of RespiQ breath analysis sensor / RespiQ++
Food intolerance is a common problem as at least one in eight people experience digestive problems on a regular basis. Current solutions for food intolerance detection are expensive, inaccurate and difficult to operate. Breath analysis is an attractive alternative for the traditional methods, as it provides non-invasive and immediate detection of problematic food components. However, there is no product on market that can detect hydrogen and methane accurately in the form of a device that is affordable for common users.
We aim to bring food intolerance detection to the comfort of home for everyone. Our solution is a breath analysis device for food intolerance detection. The main edge of our solution is that we have a breakthrough technology that nobody is currently using in commercial devices for breath analysis. Our method closes technological gap in the breath analysis field where no cheap and accurate sensor is available. In RespiQ++ project, we focused on bringing our existing technology closer to market by converting the current manual prototype towards the fully automated one.
Instead of meticulous preparation cycle with all necessary sensor data fragmented in several software applications, one simple and user-friendly GUI is realized in RespiQ++ project. This software together with updated mechanical design allowed to reduce the entire testing procedure from 15 minutes per test, to 3 minutes per test. This testing procedure now can be executed in on-click manner and, therefore, can be done without extensive training and with only limited explanation.
The direct impact of this project is difficult to overestimate as the developed in this project breath analyzer is the only product RespiQ is currently working on. Due to support already received, we have brought our technical development one step closer to the market. Naturally, this is a crucial step for further company development from both technical and commercial sides. Additionally, this project allowed to validate the form factor hypothesis and increase the general sensitivity of the system.