Mifsud, Jean-Christophe

Dr Jean-Christophe MIFSUD, 55, is President and founder of RUBIX SI that develops IOT devices for outdoor and indoor environmental aiming at optimizing the well being of the coworkers and customers. He had previous experience as founder and Chief Executive Officer of ALPHA M.O.S, a worldwide leading company in Smart Sensing Systems, and headquartered in Toulouse, France. He founded this company in 1993, for which the mission is to develop instrument correlated with the human senses, particularly those of smell and the taste, developing Electronic Nose, Electronic Tongue and Eyes for the food and cosmetics industries. The company has sold several thousand instrument in the world including FDA and USDA entities.

Titles from this speaker

Description: On line monitoring of Odor Unit (OU) emissions and odor sources identification, by...

On line monitoring of Odor Unit (OU) emissions and odor sources identification, by using a new generation of gas and odors analyzers

Abstract

Dynamic olfactometry (ES 137225) is the standard and well-established technique for odor intensity measurements, however it is not adapted for big industrial sites which need continuous monitoring and fast results. Additionally, these sites need to have odor sources identification solutions to ensure proper remediation actions. In the city of Ventspils, (Latvia), the harbour can welcome up to 20 petrol tankers, and the Baltic wind can push the gas and odors towards the city. The municipality does not have the tools neither to quantify nor to identify the sources of pollution and nuisances. In the experiment with the port authorities, an array of WT1 devices was deployed on different sites close to the sources and at the fence line. During the initial training period, the devices were trained with four different types of samples at different dilution levels (black fuel oil, solvent naphta, petrol, kerosene), and a successful correlation model was established following the 13725 standard between sensory measurements with dynamic olfactometry and the WT1 outputs, allowing the quantification of odors as well as the identification with an accuracy superior to a 0,85 R2. Additionally, a PCA (Principal Component Analysis) and a LDA (Linear Discriminant Analysis) were built and the WT1 modules proved to differentiate accurately the different sources of odor and pollution. The RUBIX WT1 gas and odors sensing modules allow not only on-line monitoring of Odor Unit and various gas emissions, but also allow odor fingerprint identification. The paper will present the methodology that combines a range of smart sensors with AI statistical data processing techniques, allowing for the odor sources identification. The experimental plan, including the training with dynamic olfactometry will be described.

The following conference paper was presented at Odors and Air Pollutants 2021: A Virtual Event, April 20-22, 2021.

SpeakerMifsud, Jean-Christophe

Presentation time

09:00:00

16:00:00

Session time

09:00:00

16:00:00

SessionOdor Measurement

Session number6

Session locationOn Demand

TopicOdor/Air Emissions, olfactometry, Sensors