Interference Separation Using Improved Nonnegative Matrix Factorization for Odor Reproduction Analysis in Mass Spectrum Space

被引：1

作者：

Prasetyawan, Dani ^{[1
]}

Zhao, Hanqing ^{[1
]}

Nakamoto, Takamichi ^{[1
]}

机构：

[1] Tokyo Inst Technol, Inst Innovat Res, Yokohama, Kanagawa, Japan

来源：

2024 IEEE INTERNATIONAL SYMPOSIUM ON OLFACTION AND ELECTRONIC NOSE, ISOEN | 2024年

关键词：

odor samples; essential oils; fixatives; NMF; mass spectrometry; ELECTRONIC NOSE;

D O I：

10.1109/ISOEN61239.2024.10556112

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Odorant sample separation is significant for industrial applications and engineering technology. Nowadays, a diverse range of odorant samples is available, including both pure samples and those mixed with chemical compounds, known as fixatives, to extend their shelf-life. Those chemical compounds can cause contradictions when performing odorant analysis with instruments and human noses. This study proposes an improved nonnegative matrix factorization (NMF) to achieve the separation of interference based on a semisupervised principle to solve the problem. Artificially generated 180 mixed odorants were utilized to calculate odor reproduction analysis. The experiment results show that the proposed method can approximate target odor with appropriate accuracy in numerical results and in actual approximated samples.

引用

页数：4

共 11 条

[1] Artificial Olfaction in the 21St Century [J].