红外光谱法结合多维尺度变换快速识别不同品牌的沥青
Rapid Identifying Bitumen Produced by Different Manufacturers with IR and Multidimensional Scaling
摘 要
收集了来自6个不同厂家的共120个沥青样品，通过傅里叶变换衰减全反射红外光谱法对其进行分析。所得光谱数据经过预处理方法和多维尺度变换进行解析。由多维尺度变换的散点图可以看出：沥青样品分布于6个不同的区域，每个区域里的沥青样品都归属于同一个品牌。由已知样品的多维尺度变换结果可以建立回归模型，将未知样品代入模型，即可在多维尺度变换散点图中识别其所属品牌。
多维尺度变换
沥青
识别
IR
multidimensional scaling
bitumen
identification
Abstract
120 bitumen samples from 6 different manufacturers were collected and analyzed by attenuated total reflectance Fourier transform infrared spectrometry. The spectra data were analyzed by pretreatment method and multidimensional scaling (MDS). The MDS scatter plot revealed that the bitumen samples were distributed in 6 different areas, and samples appeared in the same area were the bitumen from the same manufacturer. Based on the data of MDS obtained from a set of known sample, regression model was established, and could be used to identify an unknown sample in the MDS scatter plot by substituting its data into the model.
中图分类号 O657.33 DOI 10.11973/lhjy-hx201902004
所属栏目 工作简报
基金项目 中央高校“双一流”引导专项（300104281228，300104281203）；陕西省高等教育学会高等教育科学研究项目（XGH17045）
收稿日期 2018/3/27
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备注王康,副教授,博士,研究方向为分析化学,conquer741@163.com
引用该论文: WANG Kang. Rapid Identifying Bitumen Produced by Different Manufacturers with IR and Multidimensional Scaling[J]. Physical Testing and Chemical Analysis part B:Chemical Analysis, 2019, 55(2): 141～146
王康. 红外光谱法结合多维尺度变换快速识别不同品牌的沥青[J]. 理化检验－化学分册, 2019, 55(2): 141～146
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【2】EWEED K M. Polymeric additives effect on mechanical properties for bitumen based composites[J]. Engineer and Technology Journal, 2011,29(12):2501-2519.
【3】SUBRAMANIAN M, DEO M D, HANSON F V. Compositional analysis of bitumen and bitumen-derived products[J]. Journal of Chromatographic Science, 1996,34(1):20-26.
【4】REDELIUS P, SOENEN H. Relation between bitumen chemistry and performance[J]. Fuel, 2015,140:34-43.
【5】SULTANA S, BHASIN A. Effect of chemical composition on rheology and mechanical properties of asphalt binder[J]. Construction and Building Materials, 2014,72:293-300.
【6】AGUIAR J I S, MANSUR C R E. Study of the interaction between asphaltenes and resins by microcalorimetry and ultraviolet-visible spectroscopy[J]. Fuel, 2015,140:462-469.
【7】MUNERA J C, OSSA E A. Polymer modified bitumen:Optimization and selection[J]. Materials & Design, 2014,62:91-97.
【8】ONER J, SENGOZ B. Investigation of rheological effects of waxes on different bitumen sources[J]. Road Materials and Pavement Design, DOI:10.1080/14680629.2016.1209123.
【9】LYNE A L, WALLQVIST V, BIRGISSON B. Adhesive surface characteristics of bitumen binders investigated by atomic force microscopy[J]. Fuel, 2013,113:248-256.
【10】LIU Y L, KONG X M, ZHANG Y R, et al. Static and dynamic mechanical properties of cement-asphalt composites[J]. Journal of Materials in Civil Engineering, 2013,25(10):1489-1497.
【11】XUE Q, LIU L. Hydraulic-stress coupling effects on dynamic behavior of asphalt pavement structure material[J]. Construction and Building Materials, 2013,43:31-36.
【12】SOENEN H, LU X H, LAUKKANEN O-V. Oxidation of bitumen:Molecular characterization and influence on rheological properties[J]. Rheologica Acta, 2016,55(4):315-326.
【13】SHAN L Y, XU Y N, HE H S, et al. Optimization criterion of viscoelastic response model for asphalt binders[J]. Construction and Building Materials, 2016,113:553-560.
【14】HAAS J, MIZAIKOFF B. Advances in mid-infrared spectroscopy for chemical analysis[J]. Annual Review of Analytical Chemistry, 2016,9(1):45-68.
【15】王康,原建安,高妮妮.溶解涂膜红外光谱法测定改性沥青中苯乙烯-丁二烯-苯乙烯嵌段共聚物的含量[J].理化检验-化学分册, 2015,51(3):357-359.
【16】BOWERS B F, HUANG B S, SHU X, et al. Investigation of reclaimed asphalt pavement blending efficiency through GPC and FTIR[J]. Construction and Building Materials, 2014,50:517-523.
【17】YUT I, ZOFKA A. Attenuated total reflection (ATR) Fourier transform infrared (FTIR) spectroscopy of oxidized polymer-modified bitumens[J]. Applied Spectroscopy, 2011,65(7):765-770.
【18】ZOFKA A, MALISZEWSKA D, MALISZEWSKI M, et al. Application of FTIR ATR method to examine the polymer content in the modified bitumen and to assess susceptibility of bitumen to ageing[J]. Roads and Bridges, 2015,14(3):163-174.
【19】PENG G H, WANG X X, ZHANG Y Z. Multidimensional scaling analysis based on attribute reduction of bivariate mutual information[J]. International Mathematical Forum, 2017,12:111-118.
【20】MACHADO J A T, LOPES A M. Multidimensional scaling analysis of soccer dynamics[J]. Applied Mathematical Modelling, 2017,45:642-652.
【21】FU Y W, TOYODA K, IHARA I. Application of ATR-FTIR spectroscopy and principal component analysis in characterization of 15-acetyldeoxynivalenol in corn oil[J]. Engineering in Agriculture, Environment and Food, 2014,7(4):163-168.
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【27】FONVILLE J M, CARTER C, CLOAREC O, et al. Robust data processing and normalization strategy for MALDI mass spectrometric imaging[J]. Analytical Chemistry, 2012,84(3):1310-1319.
【28】WEAVER E M, HUMMON A B, KEITHLEY R B. Chemometric analysis of MALDI mass spectrometric images of three-dimensional cell culture systems[J]. Analytical Methods, 2015,7:7208-7219.
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