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傅里叶变换近红外光谱仪扫描条件对数学模型预测精度的影响
引用本文:赵丽丽,赵龙莲,李军会,张录达,严衍禄.傅里叶变换近红外光谱仪扫描条件对数学模型预测精度的影响[J].光谱学与光谱分析,2004,24(1):41-44.
作者姓名:赵丽丽  赵龙莲  李军会  张录达  严衍禄
作者单位:中国农业大学信息学院,北京,100094
基金项目:国家高技术研究发展计划(863计划)项目(2002AA248051)(2002AA243011), "十五"国家科技攻关重大项目(2001BA210A05), 国家重大基础研究前期研究专项(2002CCA00800),农业科技成果转化资金项目(02EFN216900720)资助
摘    要:以小麦粉状样品为例 ,研究了傅里叶变换近红外光谱仪在不同分辨率 ,不同的激光频率下扫描样品对近红外光谱用于分析小麦样品蛋白质含量的影响。结果表明 :以 4 ,8,16cm- 1 的分辨率扫描样品或当激光频率改变幅度在 1cm- 1 以内时对小麦蛋白模型的影响不显著 ,样品粒度对模型影响较大

关 键 词:近红外  傅里叶变换  分辨率  激光频率  样品粒度
文章编号:1000-0593(2004)01-0041-04
修稿时间:2002年8月8日

Influence of FT NIR Spectrometer Scanning Requirements on the Math Model's Precision
Li-li Zhao,Long-lian Zhao,Jun-hui Li,Lu-da Zhang,Yan-lu Yan.Influence of FT NIR Spectrometer Scanning Requirements on the Math Model''''s Precision[J].Spectroscopy and Spectral Analysis,2004,24(1):41-44.
Authors:Li-li Zhao  Long-lian Zhao  Jun-hui Li  Lu-da Zhang  Yan-lu Yan
Institution:Information College of China Agriculture University, Beijing 100094, China.
Abstract:This study is based on the agriculture product near infrared spectra database, which is a foundation database. The database has very important effects on agriculture products quality analysis and agriculture breeding. What the NIR researchers and NIR users care about is how to utilize information of the foundation database fully. To share the NIR resource, unifying the scanning term to get high quality spectra is the first step. This article uses wheat powder as sample to study the influence of different resolution, different He-Ne frequency and sample granularity on the wheat powder protein model. The results show that scanning sample by 4, 8 or 16 cm -1 resolution has little influence on the wheat powder protein math model. The change in He-Ne frequency has influence to wavenumber accuracy, but when the change is within 1 cm -1, the influence is indistinctive. For FT-NIR instruments with He-Ne to have better stability, we needn't often adjust the He-Ne wavenumber. Sample granularity has more distinctive influence on the NIR math models.
Keywords:Near-infrared  FT  Resolution  Laser frequency  Sample granularity
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