期刊文献+

MIR和NIR光谱技术比较及在烃源岩分析中的应用 被引量:1

The Comparison of MIR and NIR Spectroscopy Technology and Their Application in Analysis of Hydrocarbon Source Rocks
下载PDF
导出
摘要 中红外光谱和近红外光谱具有快速、无污染、无破坏性特点,是对物质成分进行定量分析的有力工具。2种红外光谱又各具特色,从光谱产生机制、光谱分析模型和光谱仪器设计等角度进行分析对比,探讨2种光谱的各自优势和不足,为实际工作中光谱的选择提供依据。以烃源岩岩屑为研究对象,用中红外光谱和近红外光谱分别进行了分析。结果表明,当用小波多尺度正交校正方法对原始光谱进行预处理后,可明显提高近红外光谱分析模型的准确性和稳定性,得到与中红外光谱分析模型相一致的结果。 Near-infrared (NIR) and mid-infrared (MIR) spectroscopy are powerful tools for quantitative analysis of material composition due to its rapid, non-polluting, non-destructive characteristics. The two infrared spectra show different characteristics. The advantages and shortcoming of the two spectra were analyzed and compared in the view of the mechanism, spectral analysis models and spectral instrument designs of the two spectra. This provided a good method for the selection of suitable spectroscopy. The hydrocarbon source rocks were analyzed by both mid-infrared spectroscopy and near-infrared spectroscopy. The wavelet multi-scale direct orthogonal signal correction (WMDOSC) method was used to preprocess original NIR and MIR spectra. The results show that this method can significantly improve the accuracy and stability of the near- infrared spectral analysis model, and the results of near-infrared spectral analysis model are consistent with that of mid-infrared one.
作者 张宇佳
出处 《辽宁石油化工大学学报》 CAS 2013年第3期19-23,共5页 Journal of Liaoning Petrochemical University
关键词 近红外光谱 中红外光谱 烃源岩 小波多尺度正交校正 Near-infrared spectroscopy Mid-infrared spectroscopy Hydrocarbon source rocks WMDOSC
  • 相关文献

参考文献12

  • 1McCarty G W , Reeves Ⅲ J B, Reeves V B,et al. Mid-infrared and near-infrared diffuse reflectance spectroscopy for soil carbon measurement[J]. Soil Sci. Soc. Am. J. , 2002, 66: 640-646.
  • 2Forouzangohar Mohsen, Daniel Cozzolino, Kookana Rai S, et al. Direct comparison between visible near- and mid- infrared spectroscopy for describing diuron sorption in soils[J]. Environ. Sci. Technol. ,2009, 43: 4049-4055.
  • 3Cooper John B, Wise Kent L, Welch William T, et al. Comparison of near-IR, Raman, and mid-IR spectroscopies for the determination of BTEX in petroleum fuels[J]. Applied Spectroscopy,1997, 51(11): 1613-1620.
  • 4Calderon Francisco J, Vigil Merle F, Reeves James B, et al. Mid-infrared and near-infrared calibrations for nutritional parameters of tritical (tritieoseeale) and pea(pisum sativum)[J]. J. Agric. Food Chem, 2009, 57: 5136-5142.
  • 5Ruiz Jose, Jaime Rodriguez, Jaime Baeza, et al. Estimating density and pulping yield of e. globulus wood: comparison of NIR and MIR[J]. J. Chil. Chem. Soc., 2005, 50(3) :565-568.
  • 6Chung Hoeil, Ku M S, Lee J S. Comparison of near-infrared and mid-infrared spectroscopy for the determination of distillation property of kerosene[J]. Vibrational Spectroscopy,1999,21(5): 155-163.
  • 7乔岩瑞,KempenTA.用拉曼、中红外、近红外等光谱技术预测肉骨粉中氨基酸的含量//中国畜牧兽医学会动物营养学分会-第九届学术研讨会论文集[C].北京:中国农业科学技术出版社,2004.
  • 8化岩,史永刚,任连岭,梅林.红外光谱技术在润滑油分析中的应用[J].合成润滑材料,2008,35(2):5-7. 被引量:15
  • 9樊瑞君,王煊军,张有智,刘祥萱.近红外光谱在喷气燃料分析中校正模型的建立[J].石油炼制与化工,2006,37(6):57-62. 被引量:11
  • 10Williams D K, Schwartz R L, Bartick E G. Analysis of latent fingerprint deposits by infrared microspectroscopy[J]. Applied Spectroscopy, 2004, 58 (3): 313-316.

二级参考文献24

  • 1李生华 金元生.红外油液分析技术[J].国外分析仪器,1996,(4):33-42.
  • 2WANG Jie, ZHANG Xiao-bao, CHEN Jian-fa. Coal Geology b. Exploration, 2005, 33 (2): 26.
  • 3Machnikowska H, Krzon A, Machnikowski J. Fuel, 2002, 81: 245.
  • 4LU Wan-zhen, YUAN Hong-fu, XU Guang-tong, et al. The Modern Analysis Technique of Near Infrared Spectrum. Beijing: China Petrochemical Press, 2000. 1.
  • 5Nagarajan R, Gupta D, Varma S P. Infrared Physics b- Technology, 2002, 43.. 377.
  • 6Andres J M, Bona M T. Analytical Chimical Acta, 2005, 535: 123.
  • 7Wold S, Antti H, Lindgren F, et al. Chemometrics and Intelligent Laboratory Systems, 1998, 44: 175.
  • 8Norgaard L, Saudland A, Wagner J. Appl. Spectrosc. , 2000, 54(3): 413.
  • 9Sjoblom J, Svensson O, Josefson M, et al. Chemometrics and Intelligent Laboratory Systems, 1998, 44, 229.
  • 10Andersson C A. Chemometrics and Intelligent Laboratory Systems, 1999, 47.. 51.

共引文献27

同被引文献6

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部