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Authentication of the geographical origin of patchouli oil using front‐face fluorescence spectroscopy and chemometric analysis
Flavour and Fragrance Journal ( IF 2.6 ) Pub Date : 2018-10-09 , DOI: 10.1002/ffj.3473
Dimas Firmanda Al Riza 1, 2 , Slamet Widodo 3 , Y. Aris Purwanto 3, 4 , Naoshi Kondo 1
Affiliation  

Increasing consumer awareness of the authenticity of products has led to a demand for rapid measurement methods to support the traceability of high‐value commodities. In this research, a front‐face method was used to obtain fluorescence excitation–emission matrix fingerprints of patchouli oil samples from different geographical origins in Indonesia. Principal component analysis (PCA) was then used to explore the excitation–emission matrix (EEM) data structure of the samples, and 3D eigenvector value thresholding was used to discriminate important variables. It was found that there were five important EEM regions representing the sample variation. A decision‐tree model with a subset of two important regions, i.e. regions 1 and 3, was then developed for the classification of patchouli oils from different Indonesian islands. These results show that front‐face fluorescence spectroscopy has the potential to be used as a supporting tool for the discrimination of the geographical origin of patchouli oils.

中文翻译:

使用正面荧光光谱法和化学计量学分析鉴定广patch香油的地理来源

消费者对产品真实性的意识增强,因此需要快速测量方法以支持高价值商品的可追溯性。在这项研究中,采用正面方法获得了印度尼西亚不同地理来源的广patch香油样品的荧光激发-发射矩阵指纹图谱。然后使用主成分分析(PCA)探索样品的激发-发射矩阵(EEM)数据结构,并使用3D特征向量值阈值识别重要变量。发现有五个重要的EEM区域代表了样本变化。然后,开发了一个决策树模型,其中包含两个重要区域的一个子集,即区域1和3,用于对来自印度尼西亚不同岛屿的广patch香油进行分类。
更新日期:2018-10-09
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