Malodour classification with low-cost flexible electronics.
Malodour classification with low-cost flexible electronics.
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DOI：
10.1038/s41467-023-36104-z
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发表时间：
2023-02-11
影响因子：
16.6
通讯作者：
Ford, Jane
中科院分区：
文献类型：
--
作者：
Ozer, 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
以可测量的方式了解体臭对于开发个人护理产品至关重要。体臭是人体分泌一种高度复杂的挥发性有机化合物混合物的结果。目前的体臭测量方法是手动的，耗时且昂贵，需要一个评估专家小组为每个人体测试对象分配一个恶臭分数。本文提出了一种基于技术的解决方案，通过开发一种定制设计的臭味评分分类系统，该系统包括电子鼻传感器阵列、传感器读出接口和在低成本柔性基板上制造的机器学习硬件，实现了这项任务的自动化。提出的灵活集成智能系统是通过充当面板评估员来增强专家面板，但最终可能取代面板以降低测试和测量成本。我们证明，它可以分类臭味得分好，甚至超过一半的评估专家小组。在柔性基板上设计机器学习硬件具有多种应用前景。在这里，作者提出了一种集成的智能系统，该系统采用低成本的柔性电子元件构建，用于对人类气味进行分类，并证明了所提出的系统对气味的评分与专家评估人员一样好。
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. Designing machine learning hardware on flexible substrates is promising for several applications. Here, the authors propose an integrated smart system built with low-cost flexible electronics components for classifying human malodour, and demonstrates that the proposed system scores malodour as good as expert human assessors.
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