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SNIFFCON: Fragrance Optimization through the Integration of Sensory Neuroscience, Olfactometry and Artificial Intelligence

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Fragrance production and testing are becoming demanding due to regulatory, quality, and internationalisation requirements. SNIFFCON addresses them by combining neuroscience, olfactometry, and artificial intelligence (AI) to bring fragrance testing to the next level in different closed-to-market test setups. In SNIFFCON, we will create a new neuroscience-compatible olfactometer product line and a novel line of services that will link traditional and innovative methods to identify the optimal fragrance concentration a) without harming the intended emotional/hedonic response, and b) ensure effective neutralisation of different malodours. We expect this combination to boost our market share and expand the number of addressable applications.

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The global perfume market is projected to grow from USD 48.05 billion in 2023 to USD 69.25 billion by 2030, exhibiting a CAGR of 5.36%. Fragrance materials are used in all cosmetic products, with perfumes containing the highest concentration of ingredients/chemicals. There is a global need to optimise fragrance composition due to extensively reported allergies (Diepgen et al. 2015) and a new regulatory framework while keeping the same hedonic perception safely and cost-effectively. SNIFFCON will help the fragrance, personal care, and home care industries create safer products, maintaining the initial emotional effect and sensory perception and products with effective masking of malodours. 

Our purpose in this Project is to estimate the minimum concentration of a variety of fragrance ingredients while preserving the best odour intensity/hedonic tone perception and emotional responses, to increase safety and decrease fragrance production costs.

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The objectives of SNIFFCON are the following:

  • To create a new neuroscience-compatible olfactometer for the measurement of one odour

  • To create a new neuroscience-compatible olfactometer for the measurement of two odours

  • To find the minimum optimal odour concentration of fragrances without harming the intended emotional and hedonic response of the fragrances

  • To find the minimum optimal odour concentration of fragrances to ensure effective neutralization of different malodours

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