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近红外漫反射光谱在沉积物化学成分分析中的研究进展
引用本文:尚文郁,孙青,凌媛,谢曼曼,岑况.近红外漫反射光谱在沉积物化学成分分析中的研究进展[J].岩矿测试,2012,31(4):582-590.
作者姓名:尚文郁  孙青  凌媛  谢曼曼  岑况
作者单位:1. 中国地质大学(北京),北京100083;国家地质实验测试中心,北京100037
2. 国家地质实验测试中心,北京,100037
3. 国家地质实验测试中心,北京100037;中国科学院地质与地球物理研究所,北京100029
4. 中国地质大学(北京),北京,100083
基金项目:国家自然科学基金项目(40972121);国土资源部公益性行业专项项目(200911043);中国地质大调查项目(1212011120281)
摘    要:沉积物中有机质及相关元素含量、重金属含量等是研究环境污染和古环境的依据。利用近红外漫反射光谱测定沉积物中的化学成分,方法简便、快捷、价廉。本文概述了近红外漫反射光谱测定沉积物中化学成分的基本流程、样品制备及建模方法,介绍了如何通过选择建模样品、利用光谱预处理及回归分析等方法提高近红外光谱模型的定量能力,综述了近红外漫反射光谱分析沉积物中的有机碳、总氮、总磷、生物硅、重金属含量等方法。但是利用近红外光谱分析沉积物中的化学成分研究起步较晚,仍存在很多问题,有必要深入探讨近红外光谱分析沉积物的化学成分时产生误差的机理,进一步开展建模样品的计算机选择方法、光谱预处理方法和数学模型优化等方面的研究,提高近红外漫反射光谱分析沉积物中化学成分的精密度和准确度。

关 键 词:近红外漫反射光谱  沉积物  化学成分  定量分析
收稿时间:8/4/2011 12:00:00 AM

Advances in Composition Analysis of Sediments Using Near-infrared Diffuse Reflection Spectroscopy
SHANG Wen-yu,SUN Qing,LING Yuan,XIE Man-man and CEN Kuang.Advances in Composition Analysis of Sediments Using Near-infrared Diffuse Reflection Spectroscopy[J].Rock and Mineral Analysis,2012,31(4):582-590.
Authors:SHANG Wen-yu  SUN Qing  LING Yuan  XIE Man-man and CEN Kuang
Institution:China University of Geosciences (Beijing), Beijing 100083, China;National Research Center for Geoanalysis, Beijing 100037, China;National Research Center for Geoanalysis, Beijing 100037, China;National Research Center for Geoanalysis, Beijing 100037, China;National Research Center for Geoanalysis, Beijing 100037, China;Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;China University of Geosciences (Beijing), Beijing 100083, China
Abstract:The contents of organic matter, related elements and heavy metals in sediments are the basis for the study of paleoenvironment and ecological environment evaluation. The near-infrared (NIR) diffuse reflection spectroscopy technique is a simple, rapid, and low cost method to determine the components in sediments. In this article we overview the standard procedure for sampling, the method of sample preparation and mathematical modelling for the chemical composition analysis in sediments. Furthermore, we introduce the selection of modelling, spectrum pretreatment and regression analysis to improve the accuracy of the quantitative analysis for a near-infrared spectrum model. The NIR diffuse reflection technique has been advocated to measure the contents of total organic carbon, total nitrogen, total phosphorus, biogenic silica, heavy metals etc. However, there is still plenty of work to be done since the application in sediments is not well established. At present, further study need to be carried out for the mechanism of measuring error in sediments. Properly chosen sample collection after suitable spectrum-pretreatment with optimization of mathematical models should improve the precision and accuracy of measurements.
Keywords:near-infrared diffuse reflection spectroscopy  sediment  chemical component  quantitative analysis
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