Smart Electronic Olfaction for Body Odor Diagnostics
SMELLODI aims to digitize and synthesize olfactory information for remote disease diagnostics and assist individuals with olfactory disorders using advanced sensor technology and machine learning.
Projectdetails
Introduction
Olfaction provides a wealth of information about our environment. Partner selection and disease detection are just two examples of the versatility of our olfactory system. Despite its important role, the digitization of the olfactory sense is still in its infancy compared to vision and hearing.
Challenges in Digitization
In particular, storing olfactory profiles, their on-demand synthesis, and transmission are critical barriers to broader use of the specific and unique information provided by olfaction. Experienced physicians, for example, rely on their sense of smell as an additional diagnostic tool: body odor profiles change over the course of metabolic and inflammatory processes, making body odors particularly useful for disease diagnostics and health monitoring.
Importance of Olfactory Detection
Thus, neurodegenerative or inflammatory diseases can be detected at an early stage with the help of the sense of smell.
Project Overview
Based on the stringent combination of an innovative biomimetic sensor technology, a psychological understanding of odor perception, and the application of machine learning techniques, SMELLODI will develop a science-to-technology breakthrough that will ultimately enable the detection and on-demand synthesis of odors.
Interdisciplinary Team
Our interdisciplinary team combines expertise in:
- Nano and sensor technology
- Clinical olfaction and psychological perception
- Chemistry
- Material science
Applications of SMELLODI
SMELLODI will develop technologies for:
- Remote medical diagnostics
- Assisting individuals with olfactory disorders by visualizing information about their body odor
Proof of Principle
Our proof-of-principle odor display will demonstrate for the first time the digitization, transmission, and synthesis of body odors over time and space.
Market Prospects
The market prospects for intelligent electronic odor recognition are enormous, ranging from mass-market devices to highly specialized diagnostic equipment. Our project will prepare the ground for the necessary innovations to make the technology available to address the societal and economic challenges of the future.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 3.263.781 |
Totale projectbegroting | € 3.263.781 |
Tijdlijn
Startdatum | 1-4-2022 |
Einddatum | 30-9-2025 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- TECHNISCHE UNIVERSITAET DRESDENpenvoerder
- FRIEDRICH-SCHILLER-UNIVERSITÄT JENA
- THE HEBREW UNIVERSITY OF JERUSALEM
- TAMPEREEN KORKEAKOULUSAATIO SR
- SMARTNANOTUBES TECHNOLOGIES GMBH
- USTAV ORGANICKE CHEMIE A BIOCHEMIE, AV CR, V.V.I.
Land(en)
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VOCORDER aims to develop a compact, efficient breath analysis device using advanced laser technology and AI to provide holistic health monitoring seamlessly integrated into daily life.
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Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of OdorsThe project aims to digitize smell by filling scientific gaps and developing a model to recreate odors, culminating in a proof of concept for remote odor transmission and public data sharing. | ERC Synergy ... | € 11.835.892 | 2024 | Details |
Metal-Organic-Framework Kinetic Array for Diabetes DetectionThis project aims to develop a novel sensor using metal-organic frameworks to selectively detect volatile organic compounds in breath for non-invasive diabetes diagnosis. | ERC Proof of... | € 150.000 | 2024 | Details |
Unraveling Parkinson´s disease diagnosticUNMASK aims to validate a non-invasive, olfaction-inspired technology for fast Parkinson's disease diagnostics, addressing the need for timely detection and reducing its social and economic burden. | ERC Proof of... | € 150.000 | 2024 | Details |
Real time Liver disease early diagnosis through exhaled Volatile Organic Compounds sensingDiaNose aims to revolutionize NAFLD diagnostics with a cost-effective, hand-held device using AI to classify breath chemical signatures, achieving >90% accuracy for improved patient outcomes. | EIC Transition | € 2.499.875 | 2024 | Details |
Temporally complex odour information encodingThis project aims to uncover how the mammalian olfactory system processes dynamic odour information to inform navigation behavior through a multidisciplinary approach combining physiology and neuroscience. | ERC Starting... | € 1.500.000 | 2023 | Details |
Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors
The project aims to digitize smell by filling scientific gaps and developing a model to recreate odors, culminating in a proof of concept for remote odor transmission and public data sharing.
Metal-Organic-Framework Kinetic Array for Diabetes Detection
This project aims to develop a novel sensor using metal-organic frameworks to selectively detect volatile organic compounds in breath for non-invasive diabetes diagnosis.
Unraveling Parkinson´s disease diagnostic
UNMASK aims to validate a non-invasive, olfaction-inspired technology for fast Parkinson's disease diagnostics, addressing the need for timely detection and reducing its social and economic burden.
Real time Liver disease early diagnosis through exhaled Volatile Organic Compounds sensing
DiaNose aims to revolutionize NAFLD diagnostics with a cost-effective, hand-held device using AI to classify breath chemical signatures, achieving >90% accuracy for improved patient outcomes.
Temporally complex odour information encoding
This project aims to uncover how the mammalian olfactory system processes dynamic odour information to inform navigation behavior through a multidisciplinary approach combining physiology and neuroscience.