中文摘要：模型传递问题是近红外光谱分析技术中解决数据通用性的关键问题。 文章以玉米籽粒近红外光谱图(检测其中水分含量)为例 , 考察了模型传递的问题。使用斜率截距算法 , 直接校正法和目标因子分析等算法 , 在 5 台滤光片型近红外仪器上实现了模型传递 , 并比较了各种方法的模型传递效果。 研究表明 , 直接校正法的模型传递效果最好 , 4 台从仪器的平均传递差异度为 7101 %。 文章还研究了标准样品数量对模型传递效果的影响。 作为转换集的标准样品数目越多 , 模型传递效果越好 , 一般有 20 个标准样品就能达到稳定的效果。 当转换集小于 20 时 , 直接校正法的传递效果急剧下降 , 而标准样品数量对斜率截距法和目标因子分析法的影响不明显。英文摘要：Abstract Calibration t ransfer is an important issue to building up universal and comparable performance of spect rometer data in
near inf rared spect ral analysis technology. Methods of slope/ bias correction , direct standardization (DS) , and target factor anal2
ysis ( TFA) were used for the calibration t ransfer among five NIR filter spect rophotometers using maize as the samples. The
effect s of three calibration t ransfer methods were compared. The DS method has the best performance. The average calibration
t ransfer difference of DS is 7101 %. This study also relates to the dependence of calibration t ransfer on the number of standardi2
zation samples. It was proven by experiment that the result s of calibration t ransfer will be bet ter as the number of samples is in2
creased and will be generally stable when there are twenty standardization samples. However , the effect of calibration t ransfer
at tained by DS is degraded sharply when the number of standardization samples decreases to be below twenty. Moreover , slope/
bias and TFA are not sensitive to the number of standardization samples.基金项目: 国家 “863” 计划项目(2006AA01Z129)资
