CAJ | 학술논문

运用四种不同的光谱范围选择方法来建立烟草中水溶性糖的近红外定量模型，发现模型的交互验证系数、交互验证均方差和预测均方差有明显的差异。通过对烟草中水溶性糖的分子结构分析，结合傅里叶变换近红外漫反射光谱的特性，初步确定烟草水溶性糖近红外定量模型的建模光谱范围，以交互验证系数和交互验证均方差为评价指标进一步优化光谱范围，可以得到烟草水溶性糖在近红外定量模型中的最佳光谱范围为3850~5010 cm-1、5720~7010 cm-1和7760~7980 cm-1，总糖和还原糖定量模型的交互验证系数、交互验证均方差和预测均方差分别为0.989、0.787、0.565和0.982、0.801、0.693。
운용사충불동적광보범위선택방법래건립연초중수용성당적근홍외정량모형，발현모형적교호험증계수、교호험증균방차화예측균방차유명현적차이。통과대연초중수용성당적분자결구분석，결합부리협변환근홍외만반사광보적특성，초보학정연초수용성당근홍외정량모형적건모광보범위，이교호험증계수화교호험증균방차위평개지표진일보우화광보범위，가이득도연초수용성당재근홍외정량모형중적최가광보범위위3850~5010 cm-1、5720~7010 cm-1화7760~7980 cm-1，총당화환원당정량모형적교호험증계수、교호험증균방차화예측균방차분별위0.989、0.787、0.565화0.982、0.801、0.693。
Four different spectral range selection methods were applied in NIR quantitative model of tobacco water-soluble sugar. It was found that correlation coefficients of cross validation(R2), root mean square errors of cross validation (RMSECV) and root mean square errors of prediction (RMSEP) were significantly different. Spectral ranges were preliminarily determined by analyzing molecular structures of tobacco water-soluble sugar and characteristic of FT-NIR diffuse reflectance spectroscopy. Two evaluating indicators, R2 and RMSECV, were used to further optimize spectral range. It was found that the optimal spectral ranges of tobacco water-soluble sugar was 3850~5010 cm-1, 5720~7010 cm-1and7760~7980 cm-1. The final quantitative models of total sugar and reduced sugar, R2, RMSECV and RMSEP were 0.989, 0.787, 0.565 and 0.982, 0.801, 0.693, respectively.