Sensory Evaluation of Odor Approximation Using NMF with Kullback-Leibler Divergence and Itakura-Saito Divergence in Mass Spectrum Space

Sensory Evaluation of Odor Approximation Using NMF with Kullback-Leibler Divergence and Itakura-Saito Divergence in Mass Spectrum Space
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使用质谱空间中 Kullback-Leibler 散度和 Itakura-Saito 散度的 NMF 进行气味近似的感官评价

DOI:
10.1149/1945-7111/abd110
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发表时间:
2020
影响因子:
3.9
通讯作者:
Takamichi Nakamoto
Takamichi Nakamoto
中科院分区:
工程技术4区
文献类型:
--
作者:
Prasetyawan Dani;Takamichi Nakamoto

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气味再现可以通过混合一组气味组分来近似不同气味的质谱来实现。该方法使我们能够通过调整混合配方来创造各种气味。再现的气味应尽可能接近目标气味。由于迄今为止还没有发现主要气味,因此找到一组合适的气味组分来进行气味再现是必不可少的。气味成分的数量应保持尽可能少,而它应涵盖最广泛的气味。在本研究中,我们进行了气味再现的感官评价。利用非负矩阵因子分解(NMF),特别是与Kullback-Leibler(KL)和Itakura-Saito(IS)分歧的质谱空间的气味再现和近似进行了评价。感官实验表明,IS发散度对气味近似的准确性高于KL发散度。此外,NMF与IS散度和KL散度的结合提高了精度。
The odor reproduction can be achieved by approximating mass spectra of different odors by blending a set of odor components. The method enables us to create various odors by adjusting the blending recipe. The reproduced odor should be as close as possible to the target odor. Since there are no primary odors that have been found so far, finding an appropriate set of odor components to perform odor reproduction is essential. The number of odor components should be kept as small as possible whereas it should cover the widest range of odors. In the present study, we performed a sensory evaluation of odor reproduction. Odor reproduction and approximation by utilizing Nonnegative Matrix Factorization (NMF) particularly with Kullback-Leibler (KL) and Itakura-Saito (IS) divergences on mass spectrum space were evaluated. The sensory test reveals that the accuracy of odor approximation by IS divergence were higher than that of KL divergence. Moreover, the combination of NMF with IS divergence with that of KL divergence improved the accuracy.
使用气味原色进行实时香气重建
DOI: 10.1016/j.snb.2015.12.074
发表时间: 2016
期刊:
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NMF 与 Kullback-Leibler 散度和 Itakura-Saito 散度在气味近似方面的比较
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者:
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通讯作者: T.Nakamoto