摘要
通过相关分析和建立模型,研究了烤烟叶片身份和结构指标与化学成分的关系及其近红外速测的可行性。结果表明:烟草叶片身份和结构指标与单叶重以及烟草化学成分之间存在极密切的相关关系,特别是叶片厚度和叶面密度与钾含量的相关性最高,呈较好的幂指关系;烟草叶片厚度、叶面密度以及叶片疏松度均存在能建立较好预测模型的可能性。利用全国主产区441个烟叶样品建立的叶面密度近红外速测模型的参数为:决定系数(R2)90.28%,均方差(RMSECV)0.529,说明可以用近红外对烤烟叶面密度进行较准确的速测。
Correlation analysis and NIR calibration models were employed to study the relationship between flue-cured tobacco leaf characters such as body and structure and chemical compositions. Results showed that significant correlations exist between leaf body, structure and weight and chemical content, while highly significant correlation exist between leaf thickness, density and potassium content. NIR calibration models can be established between leaf thickness, density and looseness. 441 leaf samples were used to establish leaf density NIR calibration model , with R2 and RMSECV reaching 90.28% and 0.529 respectively, indicating that fast and accurate determination of leaf density is feasible.
出处
《中国烟草学报》
EI
CAS
CSCD
2009年第6期41-43,48,共4页
Acta Tabacaria Sinica
关键词
烤烟
叶片结构
化学成分
近红外模型
flue-cured tobacco
leaf structure
chemical composition
NIR calibration models
作者简介
付秋娟，女，实验师，主要从事烟草近红外分析检测及研究工作，E-mail：fuqiujuan@sina．com
