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Nat Commun

Title:		Malodour classification with low-cost flexible electronics
Author(s):		Ozer E; Kufel J; Biggs J; Rana A; Rodriguez FJ; Lee-Clark T; Sou A; Ramsdale C; White S; Garlapati SK; Valliappan P; Rahmanudin A; Komanduri V; Saez GS; Gollu S; Brown G; Dudek P; Persaud KC; Turner ML; Murray S; Bates S; Treloar R; Newby B; Ford J;
Address:		"Pragmatic Semiconductor, 400 Cambridge Science Park, Milton Road, Cambridge, CB4 0WH, UK. eozer@pragmaticsemi.com. Pragmatic Semiconductor, 400 Cambridge Science Park, Milton Road, Cambridge, CB4 0WH, UK. Arm, 110 Fulbourn Rd, Cambridge, CB1 9NJ, UK. Indian Institute of Technology Hyderabad, Department of Materials Science and Metallurgical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, 502285, India. University of Manchester, University of Manchester, Oxford Road, Manchester, M13 9PL, UK. Unilever, Port Sunlight Lab, Quarry Road East, Bebington, Wirral, CH63 3JW, UK"
Journal Title:		Nat Commun
Year:		2023
Volume:		20230211
Issue:		1
Page Number:		777 -
DOI:		10.1038/s41467-023-36104-z
ISSN/ISBN:		2041-1723 (Electronic) 2041-1723 (Linking)
Abstract:		"Understanding body malodour in a measurable manner is essential for developing personal care products. Body malodour is the result of bodily secretion of a highly complex mixture of volatile organic compounds. Current body malodour measurement methods are manual, time consuming and costly, requiring an expert panel of assessors to assign a malodour score to each human test subject. This article proposes a technology-based solution to automate this task by developing a custom-designed malodour score classification system comprising an electronic nose sensor array, a sensor readout interface and a machine learning hardware fabricated on low-cost flexible substrates. The proposed flexible integrated smart system is to augment the expert panel by acting like a panel assessor but could ultimately replace the panel to reduce the test and measurement costs. We demonstrate that it can classify malodour scores as good as or even better than half of the assessors on the expert panel"
Keywords:
Notes:		"PubMed-not-MEDLINEOzer, Emre Kufel, Jedrzej Biggs, John Rana, Anjit Rodriguez, Francisco J Lee-Clark, Thomas Sou, Antony Ramsdale, Catherine White, Scott Garlapati, Suresh Kumar Valliappan, Palaniappan Rahmanudin, Aiman Komanduri, Venuskrishnan Saez, Glenn Sunley Gollu, Sankara Brown, Gavin Dudek, Piotr Persaud, Krishna C Turner, Michael L Murray, Stephanie Bates, Susan Treloar, Robert Newby, Brian Ford, Jane eng 103390/Innovate UK/ EP/K03099X/1/RCUK | Engineering and Physical Sciences Research Council (EPSRC)/ England 2023/02/12 Nat Commun. 2023 Feb 11; 14(1):777. doi: 10.1038/s41467-023-36104-z"