近红外光谱法预测烟草中硫含量的研究

Predictive Determination of Sulfur in Tobacco by Near Infrared Spectroscopy

为适应快速分析烟草中硫含量的需要,以硫酸钡比浊法的测定值为标准值,建立了近红外光谱法预测烟草中硫含量的方法,考察了光谱预处理方法、谱区范围对硫含量预测值的影响。该方法具有简便、快速、低消耗、低成本、不破坏样品及重现性好等优点,且其预测值与硫酸钡比浊法测定值较为接近,适用于大批量烟叶样品硫含量的快速分析。

In order to meet the needs of fast analysis of sulfur in tobacco, a method for predicting sulfur content in tobacco with near infrared spectrum (NIR) was developed by using the values determined by BaSO_4 turbidimetry as references. The effects of the spectrum pre_treating method and the spectrum range on predictive values were investigated. This method had many advantages, such as simple, rapid, low consumption, low cost, undestructive to sample and good repetition. The predictive values of sulfur in tobacco by this method were comparable with those by (BaSO_4) turbidimetry.