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Evaluation of aroma styles in flue-cured tobacco by near infrared spectroscopy combined with chemometric algorithms
Journal of Near Infrared Spectroscopy ( IF 1.8 ) Pub Date : 2020-01-22 , DOI: 10.1177/0967033519898892
Fu Liao 1 , Yongsheng Li 1 , Wenmiao He 1 , Jinxin Tie 1 , Xianwei Hao 1 , Yunong Tian 1 , Shitou Li 1 , Lili Zhang 1 , Liang Tang 2 , Jizhong Wu 1 , Hui Wang 1 , Qingquan Xu 1 , Yiming Bi 1
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Aroma style is a complex but critical sensory indicator of flue-cured tobacco. Near infrared spectroscopy was used to investigate the aroma style of flue-cured tobacco. A model screening-sensory validation strategy is herein proposed to overcome obstacles such as the subjectivity of sensory evaluation. Samples with exemplary styles and consistent opinion from a panel were selected as typical samples. Only typical samples were used for modeling. Other samples (atypical samples) were predicted through the proposed model. With references to sensory evaluation, the predictive accuracy reached to 100 and 79.0% for typical and atypical samples, respectively. This method provided a new perspective to evaluate the aroma styles of flue-cured tobacco by a combination of sensory evaluation and chemical analysis.

中文翻译:

近红外光谱结合化学计量算法评价烤烟香气风格

香气风格是烤烟复杂但关键的感官指标。近红外光谱用于研究烤烟的香气风格。本文提出了一种模型筛选-感官验证策略,以克服感官评价的主观性等障碍。具有示范风格和一致意见的样本被选为典型样本。仅使用典型样品进行建模。通过提出的模型预测其他样本(非典型样本)。在感官评价方面,典型样品和非典型样品的预测准确率分别达到100%和79.0%。该方法为感官评价与化学分析相结合的烤烟香气风格评价提供了新的视角。
更新日期:2020-01-22
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