摘要
考察了烟草主要化学成分NIR预测模型在两台同型号NIR仪器间的转移效果。结果表明:总植物碱、总糖、还原糖、总氮、钾、总挥发酸、总挥发碱、石油醚提取物及其中性物总量、多酚、硫酸根、烟草pH值的NIR模型可以在两台同型号NIR仪器间直接传递,而氯、淀粉、纤维素、灰分、水溶性灰分碱度的NIR模型不可直接传递;利用斜率/截距算法和多样品标准化法修正后的氯、淀粉、纤维素、灰分、水溶性灰分碱度模型的预测标准差分别为0.061、0.523、1.250、1.195、0.206和0.062、0.512、1.129、1.261、0.205,模型预测能力提高百分比分别为75.20%、55.37%、36.19%、37.37%、71.23%和74.80%、57.48%、42.37%、33.91%、71.37%。两种方法修正的模型预测精度均与主仪器的相当,且两种方法修正的模型预测精度之间没有显著性差异。
The transfer of NIR prediction models for main chemical components in tobacco between 2 NIR devices of the same type was investigated. The results indicated that： 1） the NIR models for total alkaloids, total sugar, reducing sugar, total nitrogen, potassium, total volatile acids, total volatile bases, petroleum ether extract and its neutral proportion, polyphenols, sulfate contents, and pH value of tobacco could be directly transferred, while those for chlorine, starch, cellulose, ash, and water soluble ash alkalinity could not; 2） standard errors of prediction of models modified by slope/intercept algorithm and multi-sample stan- dardization for chlorine, starch, cellulose, ash and water soluble ash alkalinity were 0. 061, 0. 523, 1. 250, 1. 195, 0. 206 and 0. 062, 0. 512, 1. 129, 1. 261, 0. 205, respectively. The prediction precis;.on of modified models improved by 75.20%, 55.37%, 36.19%, 37.37%, 71.23% and 74.80%, 57.48%, 42.37%, 33.91%, 71.37%, respectively, which was comparable with that of master instrument, and there was no significant difference between the prediction precision of the 2 modified models.
出处
《烟草科技》
EI
CAS
北大核心
2008年第2期45-49,共5页
Tobacco Science & Technology
基金
国家烟草专卖局资助项目"应用近红外检测技术快速测定烟叶主要化学成分(20项指标)的研究"(国烟科[2003]542号)
