紫外光谱法预测烤烟烟叶中的全氮

利用紫外光谱法测量不同等级烤烟烟叶的光谱，对样品在190～1 100 nm波长范围进行扫描，比较其光谱之间的差异。并利用多元分析中的逐步回归法、主成分分析法和偏最小二乘法来建立烤烟烟叶全氮含量的光谱预测模型。结果表明:(１)用多元分析中的逐步回归法、主成分分析法适合建立全氮预测模型;(２)在230～290 nm波长范围内建立不同等级烤烟的全氮模型，且模型效果较好;(３)主成分分析法预测烤烟烟叶全氮模型的准确性比逐步回归法预测烤烟烟叶全氮模型的准确性要好得多，且用主成分分析法预测烤烟烟叶全氮模型的准确性为78%; (４)不同的数据处理方法，得出的预测模型是不同的;(５)通过选择恰当的全氮特征谱线可以提高预测模型的准确性。说明可以用紫外光谱来预测烤烟全氮的含量，且该模型稳定性好，可用来快速、准确、无污染地测量烟草中的全氮含量。

Prediction of Total Nitrogen in Flue-Cured Tobacco with UV Spectrometry

Ultraviolet(UV) spectrum method was used to measure the spectra of flue-cured tobacco,and the spectra of different grades of flue-cured tobacco were compared.The samples were scanned in 210-360 nm with UV spectrometer.Further,the UV predicting models of total nitrogen of tobacco leaves were established by stepwise multiple regression method,principal components analytic method and partial least squares method.The results show that:(1) Predicting models of total nitrogen were established to adopt stepwise mu...