Effects of moisture content on near-infrared predictions of tobacco chemical components
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GUO Junwei,
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PAN Lining,
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JIN Zhe,
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YU Jingjing,
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LIU Jinxia,
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WANG Sheng,
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WANG Bing,
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LIU Ruihong,
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LIU Kejian,
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WANG Hongbo,
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LIU Huimin,
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ZHAO Le,
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LIU Shaofeng
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Abstract
In order to investigate the effects of moisture content on near-infrared predictions of tobacco chemical components, 50 representative samples were selected, and sample series of 5 moisture content gradients were prepared. After the spectra acquisition of all samples, a tobacco multicomponent NIR model was used to make predictions. The results showed that the bands in NIR spectra were intensified to different degrees with the increase of moisture content, and only the prediction values of a few chemical components were less affected by moisture content. Two NIR prediction models of tobacco multicomponent NIR models were established for two moisture intervals (6%-8% and 10%-12%) and near-infrared predictions of samples of 5 moisture gradients were made. The results showed that except for a few indexes, making predictions by using one of the two models with moisture interval consistent with that of test samples effectively minimized the effects of moisture content.
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