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应用近红外检测技术快速测定烟叶主要化学成分
引用本文:蒋锦锋,李莉,赵明月.应用近红外检测技术快速测定烟叶主要化学成分[J].中国烟草学报,2006,12(2):8-12.
作者姓名:蒋锦锋  李莉  赵明月
作者单位:郑州烟草研究院,郑州,450001
基金项目:国家烟草专卖局资助项目
摘    要:应用近红外光谱技术建立烟草17项主要化学成分的快速无损检测方法.收集700个具有代表性样品的光谱,建立其相应指标的近红外模型.在所有的校正模型中,原始谱图经过一阶导数和偏最小二乘(PLS)处理,大约50个外部样品用于所建模型的验证.烟草中总挥发酸、总挥发碱、石油醚提取物总量、石油醚提取物中性成分、多酚、淀粉、纤维素、硫酸根、pH、灰分、水溶性灰分碱度、总糖、还原糖、总氮、生物碱、氯、钾等十七项指标的预测标准偏差(BMSEP)分别为0.020、0.009、0.402、0.393、0.578、0.583、0.932、0.139、0.117、0.634、0.235、1.720、1.407、0.104、0.173、0.037和0.300.该结果表明近红外光谱技术在分析17项烟草化学指标时均可以替代经典化学方法.作为一种质量控制方法,近红外光谱技术的应用将为烟草行业节省大量的资金和显著提高工作效率.

关 键 词:近红外  烟草  快速分析
文章编号:1004-5708(2006)02-0008-05
收稿时间:01 6 2006 12:00AM
修稿时间:2006年1月6日

Rapid determination of main chemical components in tobacco leaf by NIR diffuse reflectance spectroscopy
JIANG Jin-feng,LI Li,ZHAO Ming-yue.Rapid determination of main chemical components in tobacco leaf by NIR diffuse reflectance spectroscopy[J].Acta Tabacaria Sinica,2006,12(2):8-12.
Authors:JIANG Jin-feng  LI Li  ZHAO Ming-yue
Affiliation:Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, 450001
Abstract:FT-NIR was evaluated as a method to simultaneously analyze 17 chemical components in tobacco leaf. Spectra of 700 typical samples were collected to develop the calibration models, among which the raw spectra were pretreated with first derivative and partial least square. About 50 randomly selected validation samples were used to test the accuracy of each calibration model. The values of root mean square error of prediction (RMSEP) for total volatile acids, total volatile bases, total petroleum ether extracts, petroleum ether extracts neutral, polyphenol, starch, cellulose, sulfate, pH, ash, water soluble ash bases, total sugar, reductive sugar, total nitrogen, alkaloids, chlorine, and potassium were 0.020, 0.009, 0.402, 0.393, 0.578, 0.583, 0.932, 0.139, 0.117, 0.634, 0.235, 1.720, 1.407, 0.104, 0.173, 0.037, 0.300 respectively. The satisfactory results indicated that FT-NIR could be an alternative to the traditional wet chemical method to simultaneously analyze the above 17 chemical components in tobacco leaf. The utilization of FT-NIR as a quality control method will reduce costs and enhance efficiency for the tobacco industry.
Keywords:near infrared  tobacco  simultaneous analysis
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