光散射学报, 2019, 31 (1): 66, 网络出版: 2019-04-16  

联合应用红外光谱法和拉曼光谱法对重质矿物油的区分检验研究

Analysis on Heavy Mineral Oil by Infrared Spectroscopy and Raman Spectroscopy
作者单位
1 中国人民公安大学刑事科学技术学院, 北京 100038
2 北京市刑事科学技术研究所, 北京 100054
引用该论文

鞠晨阳, 王继芬, 余静. 联合应用红外光谱法和拉曼光谱法对重质矿物油的区分检验研究[J]. 光散射学报, 2019, 31(1): 66.

JU Chenyang, WANG Jifen, YU Jing. Analysis on Heavy Mineral Oil by Infrared Spectroscopy and Raman Spectroscopy[J]. The Journal of Light Scattering, 2019, 31(1): 66.

参考文献

[1] 杨瑞琴.微量物证检验[M].北京: 中国人民公安大学出版社, 2013: 123.(YANG Ruiqin.Trace evidence examination[M].Beijing: Chinese People's Public Security University Press, 2013: 123)

[2] 余静, 张云, 庞松颖, 等.红外光谱技术在物证鉴定中的应用[J].光谱学与光谱分析, 2016, 36(09): 2807-2811.(YU Jing, ZHANG Yun, PANG Songying, et al.Application of IR in the field of evidence identification[J].Spectroscopy and Spectral Analysis, 2016, 36(09): 2807-2811.)

[3] 杨金梅, 张海明, 王旭, 等.红外光谱和拉曼光谱的联系和区别[J].物理与工程, 2014, 24(04): 26-29+32.(YANG Jinmei, ZHANG Haiming, WANG Xu, et al.The relationships and differences between the infrared spectrometry and Raman spectrometry[J].Physics and Engineering, 2014, 24(04): 26-29+32.)

[4] 施玉珍, 陈志春, 林贤福.拉曼光谱与红外光谱无损检测技术新进展[J].分析化学, 2005, 33(02): 272-276.(SHI Yuzhen, CHEN Zhichun, LIN Xianfu.Advances of Non-destructive analysis techniques of Raman spectrometry and infrared spectometry[J].Analytical Chemistry, 2005, 33(02): 272-276.)

[5] 黄宁.红外光谱法在涂料剖析中的应用[J].涂料工业, 1999(01): 40-44.(HUANG Ning.Application of infrared spectrometry in the analysis of coatings composition[J].Paint & Coatings Industry, 1999(01): 40-44.)

[6] 余静, 王琳琦, 王继芬, 等.拉曼光谱技术在涂料鉴定中的应用进展[J].现代仪器, 2012, 18(03): 21-23.(YU Jing, WANG Linqi, WANG Jifen, et al.The research and applications of Raman spectroscopy in the identification of paints[J].Modern Instruments, 2012, 18(03): 21-23.)

[7] SADEGHI-JORABCHI H, WILSON R H, BELTON P S, et al.Quantitative analysis of oils and fats by Fourier transform Raman spectroscopy[J].Spectrochimica Acta Part A Molecular Spectroscopy, 1991, 47(9-10): 1449-1458.

[8] KH A.KUPTSOV T.ARBUZOVA V.A study of heavy oil fractions by Fourier-transform near-infrared raman spectroscopy[J].Petroleum Chemistry, 2011, 51(3): 203-211.

[9] 田高友.拉曼光谱技术在石油化工领域应用进展[J].现代科学仪器, 2009, 124(02): 130-134.(TIAN Gaoyou.Review of application of Raman techniques in petrochemicals industry[J].Modern Scientific, 2009, 124(02): 130-134.)

[10] 史永刚, 粟斌, 李华峰, 等.拉曼光谱及其在石油产品分析中的应用[J].现代仪器, 2010, 16(06): 9-13.(SHI Yonggang, SU Bin, LI Huafeng, et al.Raman spectroscopy and its application to petroleum products[J].Modern Instruments, 2010, 16(06): 9-13.)

[11] 韩闯, 张路杰, 张海鹏.电线塑料护套的傅立叶变换红外光谱分析[J].分析测试技术与仪器, 2014, 20(04): 238-242.(HAN Chuang, ZHANG Lujie, ZHANG Haipeng.Analysis of external plastic protective sleeve of wire by FTIR[J].Analysis and Testing Technology and Instruments, 2014, 20(04): 238-242.)

[12] 窦艳丽, 张万喜, 张玉杰, 等.傅立叶变换拉曼光谱和红外光谱鉴别塑料[J].分析化学, 2006, 34(11): 1615-1618.(DOU Yanli, ZHANG Wanxi, ZHANG Yujie, et al.Identification of Plastics by Fourier Transform Raman and Infrared Spectroscopy[J].Analytical Chemistry, 2006, 34(11): 1615-1618.)

[13] CANECA A R, PIMENTEL M F, MATTA C E D, et al.Assessment of infrared spectroscopy and multivariate techniques for monitoring the service condition of diesel-engine lubricating oils[J].Talanta, 2006, 70(2): 344-352.

[14] 叶文.光谱法检测物质成分的方法研究[D].长春理工大学, 2008: 13-16.(YE Wen.Research on method of detecting composition of substance with spectrum[D].Changchun University of Science and Technology, 2008: 13-16)

[15] 赵畅畅, 陈闽杰, 丘晖饶.合成润滑油基础油的红外光谱分析与特征峰辨识[J].润滑与密封, 2013, 38(10).ZHAO Changchang, CHEN Minjie, QIU Huirao.Infrared Spectrograms Analysis and Typical Absorption Peaks Identification of Synthetic Lubricants[J].Lubrication Engineering, 2013, 38(10).

鞠晨阳, 王继芬, 余静. 联合应用红外光谱法和拉曼光谱法对重质矿物油的区分检验研究[J]. 光散射学报, 2019, 31(1): 66. JU Chenyang, WANG Jifen, YU Jing. Analysis on Heavy Mineral Oil by Infrared Spectroscopy and Raman Spectroscopy[J]. The Journal of Light Scattering, 2019, 31(1): 66.

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