基于近红外光谱的卷烟配方结构识别  

Recognition of Cigarette Blend Make-up Based on NIR Spectrum

作　　者：刘晓萍[1] 李斌[1] 于川芳[1] 申玉军[1] 王兵[1] 

机构地区：[1]中国烟草总公司郑州烟草研究院

出　　处：《烟草科技》2006年第10期16-18,27,共4页Tobacco Science & Technology

基　　金：郑州烟草研究院院长科技发展基金项目(012003C110)

摘　　要：采用近红外光谱仪分析烟末样品,并用偏最小二乘法分析近红外数据,研究了不同配方结构的烟丝与近红外光谱的关系,建立了4个不同配方的识别模型。结果表明:梗丝与叶丝配方模型具有较好的预测准确性,对不同批次的样品预测均方根误差小于0.9%,平均相对误差在7.6%以下;在4丝配方中,对梗丝、膨胀烟丝和再造烟丝的预测准确度较低,其平均相对误差在10%左右。The relationship between the make-up of cigarette filler and NIR spectra was studied. Four recognition models for predicting the contents of cut stem, expanded tobacco, and reconstituted tobacco in different cigarette blends were developed by analyzing the NIR spectra of 482 tobacco samples with partial least square method. The results showed that the veracity of the predictive model for blend containing cut stem and cut lamina was good, the average square root error and average relative error of samples from different batches were below 0.9 % and 7.6 %, respectively; while the veracity of the predictive model for blend containing cut stem, expanded tobacco, reconstituted tobacco, and cut lamina was not as good, the average relative errors were around 10%.

关 键 词：近红外光谱 配方结构 模型 

分 类 号：TS452.1[农业科学—烟草工业]