Duffy, Emer ORCID: 0000-0003-4557-6487, Albero, Gwendoline and Morrin, Aoife ORCID: 0000-0002-3031-4794 (2018) Headspace solid-phase microextraction gas chromatography-mass spectrometry analysis of scent profiles from human skin. Cosmetics, 5 (4). ISSN 2079-9284
Abstract
Volatile organic compounds (VOCs) emanating from human skin contribute to an individual’s body odour. Understanding the modulation of human odour by a fragrance is of significant importance to the cosmetic sector in the design, development and evaluation of new products. The present research describes an in vivo approach for passive headspace sampling of skin volatile emissions in human participants. A wearable headspace solid-phase microextraction (HS-SPME) method has been employed to investigate baseline endogenous skin volatiles and the subsequent modulation of skin volatile profiles after application of a fragrance to skin. Coupled with gas chromatography-mass spectrometry (GC-MS) this method enables characterisation of scent profiles and fragrance longevity in vivo. A total of 51 compounds were identified in participants’ skin, including 19 endogenous and 32 fragrance-derived compounds. The temporal variation in volatile profiles at different times after fragrance application was investigated. Fragrance diffusion from skin varied between participants resulting in diversified scent profiles over time. This non-invasive approach could be employed during cosmetic product development for in vivo evaluation of fragrance profiles and for assessment of the retention of fragrance components in skin to reduce reliance on expert panels during product development.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Additional Information: | Article number: 62 |
Uncontrolled Keywords: | volatile organic compounds; human odour; fragrance; non-invasive |
Subjects: | Physical Sciences > Chemistry Physical Sciences > Spectrum analysis |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences Research Initiatives and Centres > National Centre for Sensor Research (NCSR) Research Initiatives and Centres > INSIGHT Centre for Data Analytics |
Publisher: | MDPI |
Official URL: | https://dx.doi.org/10.3390/cosmetics5040062 |
ID Code: | 27388 |
Deposited On: | 25 Jul 2022 17:23 by Thomas Murtagh . Last Modified 25 Jul 2022 17:23 |
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