傅立叶变换近红外光谱仪在烟草制丝线上的应用

Application of On-Line FT-NIR Spectrometer in Primary Processing Line

摘要: 用在线傅立叶变换近红外光谱仪采集制丝线上的烟丝光谱,建立了在线烟丝含水率、总植物碱、总糖和总氮的数学模型。利用这些模型可以快速、准确地预测生产线上烟丝的常规化学成分含量。含水率、总植物碱、总糖和总氮的预测值与化学方法实测值的平均相对误差分别为1.1%、1.9%、2.1%和1.7%,表明应用在线傅立叶近红外光谱仪能够对制丝线上烟丝的化学成分进行快速检测和在线监控。

Abstract: The prediction models of moisture content, total alkaloid, total sugar and total nitrogen in cut tobacco during primary processing were established with its spectra acquired by on-line FT-NIR spectrometer. The mean relative errors between predictive values and determined values of moisture content, total alkaloid, total sugar and total nitrogen were 1.1%, 1.9%, 2.1%, and 1.7%, respectively. It indicated that on-line monitoring of the chemical components in cut tobacco during primary processing with on-line FT-NIR spectrometer was feasible.