水分、温度和检测光程对在线近红外光谱法测定结果的影响
Effects of Moisture Content,Temperature and Measuring Optical Path on Determination Results of On-line Near-infrared Spectroscopy
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摘要: 为提高在线近红外(NIR)光谱仪在制丝线测定烟丝样品常规化学成分的准确度,在实验室模拟在线采集了烟丝样品不同含水率和温度条件下的近红外吸收光谱图,以及不同检测光程下同一个烟丝样品的近红外吸收光谱图,用数学模型预测了烟丝样品不同含水率、温度及不同检测光程下烟丝样品的烟碱和总糖值,并将预测值和化学实测值进行了对比分析。结果表明:①在实验范围内,随着烟丝样品含水率、温度的升高及检测光程的减小,在线NIR测定结果的相对误差有增大的趋势;②在线NIR光谱仪检测烟丝样品的最佳条件:含水率为12%~13%,温度为25~30℃,检测光程为16~20 cm。Abstract: In order to improve the accuracy of on-line NIR for determination of routine chemical components in cut tobacco in primary processing,NIR spectra of tobacco samples were collected at different moisture contents,temperatures and measuring optical paths in a laboratory where the test conditions were analogous to the online conditions.By mathematical models,the nicotine and total sugar values of tobacco samples were predicted and compared with the determined values.The results showed that:1) within the experimental range,the relative error of on-line NIR measuring results increased with the rising of moisture content and temperature of tobacco sample and the decrease of measuring optical path;2) the optimal on-line NIR detection conditions for cut tobacco samples were:moisture content from 12% to 13%,temperature from 25 to 30℃ and measuring optical path from 16 to 20 cm.
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