近红外光谱法测定烤烟的填充值  被引量:4

Determination of Filling Power of Flue-cured Tobacco with Near Infrared Spectroscopy

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作  者:李瑞丽[1,2] 张保林[1] 毛多斌[2] 李晓[2] 王建民[2] 

机构地区:[1]郑州大学化工与能源学院,郑州市科学大道100号450001 [2]郑州轻工业学院烟草科学与工程学院,郑州市科学大道166号450001

出  处:《烟草科技》2015年第1期82-85,共4页Tobacco Science & Technology

基  金:河南烟草专卖局基金资助项目"河南烤烟物理特性的近红外检测与评价技术研究"(HYKJ201208)

摘  要:为探索用近红外光谱快速检测烤烟填充值的可行性,选取有代表性的94个河南烤烟样品,采用偏最小二乘法(Partial Least Square,PLS)将近红外光谱数据与其填充值的实测值进行拟合,建立填充值预测模型,考察了光谱预处理方法和光谱范围对建模效果的影响,并进行了内部交叉验证、外部验证和模型精度检验。结果表明:1标准正态变量变换(Standard normal variate,SNV)结合一阶导数法的光谱预处理方法和全谱范围适合构建填充值的近红外模型;2模型的决定系数达0.960,均方根校正误差(Root mean square error of calibration,RMSEC)为0.094,内部交叉验证和外部验证均表明模型预测值和实测值呈极显著相关;3模型精密度检验的相对标准偏差<3%。填充值近红外预测模型的重复性好,准确性较高,适于批量烤烟填充值的快速检测。In order to investigate the feasibility of fast testing the filling power of flue-cured tobacco by NIR calibration model, 94 representative flue-cured tobacco samples were collected from Henan. A model for predicting filling power was established via fitting the near infrared spectra data to the measured filling power of tobacco samples with partial least square method, the effects of the pretreatment and range of spectra on the developed model were examined, and the internal cross validation, external validation and model precision test were conducted. The results showed that: 1) The spectrum pretreatment method, which combined standard normal variable transform with first derivative, and whole spectrum range were suitable for developing the NIR model of filling power. 2) The determination coefficient of the model was 0.960 with RMSEC of 0.094, the results of internal cross validation and external validation indicated that the value predicted by the model extremely significantly correlated to the measured value. 3)The relative standard deviation of model precision test was 〈3%. The NIR model for predicting filling power is accurate, of good reproducibility and suitable for fast testing the filling value of batches of flue-cured tobacco.

关 键 词:烤烟 填充值 近红外光谱 偏最小二乘法 标准正态变量变换 一阶导数法 

分 类 号:TS412[农业科学—烟草工业]

 

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