一种便携式傅里叶变换光谱仪在烟叶工业分级中的应用
Application of a portable Fourier transform spectrometer in industrial tobacco grading
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摘要:
为进一步提高烟叶工业分级近红外检测效率，采用一种便携式傅里叶变换光谱仪快速测定烟叶主要化学成分，通过建立仪器检测方法，确定了最优光谱扫描方式，并构建了烟碱、总氮和还原糖定量分析模型。结果表明：①模型决定系数R2分别为0.93、0.91和0.89，RMSECV分别为0.14、0.10和1.35，模型验证时的RMSEP分别为0.17、0.14和1.84。②检测过程无需制样，实现快速无损检测，检测时间缩短至16 s/次。该技术可为推进便携式近红外光谱仪在烟叶生产中的应用提供支持。 Abstract:In order to promote the detection efficiency of near-infrared method in industrial tobacco grading, a portable Fourier transform spectrometer was used to determine the main chemical components in tobacco leaves rapidly. The detection method of the instrument was established, the optimal spectral scanning mode was determined, and the quantitative analysis models for nicotine, total nitrogen and reducing sugar were developed. The results showed that: 1） The coefficients of determination （R2） of the models were 0.93, 0.91 and 0.89, the RMSECVs （Root mean square error of cross validations） were 0.14, 0.10 and 1.35, and the RMSEPs （Root mean square error of predictions） during model verification were 0.17, 0.14 and 1.84, respectively. 2） No sample preparation was required during the testing process, which realized rapid nondestructive testing, and the testing time was shortened to 16 s/time. This technology provides a support for promoting the application of portable near infrared spectrometer in tobacco production.
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