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'Low-cost Electronic nose evaluated on Thai-herb of Northern-Thailand samples using multivariate analysis methods'

机译:“使用多变量分析方法对北泰国样品的泰国草药评估的低成本电子鼻子”

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In case of species of natural and aromatic plant originated from the northern Thailand, sensory characteristics, especially odours, have unique identifiers of herbs. The instruments sensory analysis have performed by several of differential of sensing, so call 'electronic nose', to be a significantly and rapidly for chemometrics. The signal responses of the low cost electronic nose were evaluated by principal component analysis (PCA). The aims of this paper evaluated various of Thai-herbs grown in Northern of Thailand as data reprocessing tools of the Low-cost electronic nose (enNUPYO1). The essential oil groups of Thai herbs such as Garlic, Lemongrass, Shallot (potato onion), Onion, Zanthoxylum limonella (Dennst.) Alston (Thai name is Makaen), and Kaffir lime leaf were compared volatilized from selected fresh herbs. Principal component analysis of the original sensor responses did clearly distinguish either all samples. In all cases more than 97% for cross-validated group were classified orrectly. The results demonstrated that it was possible to develop in a model to construct a low-cost electronic nose to provide measurement of odoriferous herbs.
机译:在迄今为于泰国北部的天然和芳香植物的物种的情况下,感官特性,尤其是气味,具有独特的草药标识符。仪器感觉分析由多个差异传感的差异进行,所以称之为“电子鼻子”,对化学计量学致电。通过主成分分析(PCA)评估低成本电子鼻的信号响应。本文的目的在于泰国北部种植的各种泰国草药作为低成本电子鼻子的数据再处理工具(Ennupyo1)。泰国草药的精油群,如大蒜,柠檬草,青椒(马铃薯洋葱),洋葱,Zanthoxylum limonella(丹恩)(泰国名称是Makaen),而Kaffir Lime Leak被比较从选定的新鲜草药中挥发。原始传感器响应的主要成分分析确实明确区分了所有样品。在所有案例中,交叉验证组超过97%的分类。结果表明,可以在模型中开发,以构建低成本的电子鼻,以提供无味的草药的测量。

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