Principal Components Analysis of Infrared Spectra of Liquid Acetylacetone

被引:0
|
作者
Czarnik-Matusewicz, B. [1 ]
Matusiak-Kucharska, M. [1 ]
Hawranek, J. P. [1 ]
机构
[1] Univ Wroclaw, Fac Chem, PL-50383 Wroclaw, Poland
关键词
thin film infrared spectra; acetylacetone; hydrogen bonding; Principal Components Analysis; INTRAMOLECULAR HYDROGEN-BOND; VIBRATIONAL ASSIGNMENT; CRYSTAL-STRUCTURE; ENOL FORMS; KETO; DYNAMICS; SPECTROSCOPY; EQUILIBRIUM; RESONANCE; UV;
D O I
暂无
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The spectrum of the absorption index in the Mid-Infrared (MIR) region was determined for intramolecularly hydrogen-bonded liquid acetylacetone from transmission studies. In the MIR region very thin layers with thicknesses of a few micrometers had to be used to obtain reliable data. The keto-enol tautomeric equilibrium in the pure liquid was studied by Principal Components Analysis (PCA) of a set of temperature dependent MIR spectra in the range from 25 to 75 degrees C. Identifications for numerous bands observed in the liquid phase were proposed basing on the results obtained by means of the separation obtained in the loadings plot.
引用
收藏
页码:999 / 1011
页数:13
相关论文
共 50 条
  • [41] Ship silhouette recognition using principal components analysis
    Gouaillier, V
    Gagnon, L
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XX, 1997, 3164 : 59 - 69
  • [42] Principal components analysis of nonstationary time series data
    Joseph Ryan G. Lansangan
    Erniel B. Barrios
    Statistics and Computing, 2009, 19
  • [43] Factored principal components analysis, with applications to face recognition
    Ian L. Dryden
    Li Bai
    Christopher J. Brignell
    Linlin Shen
    Statistics and Computing, 2009, 19 : 229 - 238
  • [44] Factored principal components analysis, with applications to face recognition
    Dryden, Ian L.
    Bai, Li
    Brignell, Christopher J.
    Shen, Linlin
    STATISTICS AND COMPUTING, 2009, 19 (03) : 229 - 238
  • [45] Functional principal components analysis of workload capacity functions
    Burns, Devin M.
    Houpt, Joseph W.
    Townsend, James T.
    Endres, Michael J.
    BEHAVIOR RESEARCH METHODS, 2013, 45 (04) : 1048 - 1057
  • [46] Functional principal components analysis of workload capacity functions
    Devin M. Burns
    Joseph W. Houpt
    James T. Townsend
    Michael J. Endres
    Behavior Research Methods, 2013, 45 : 1048 - 1057
  • [47] Diagnosing basal cell carcinoma in vivo by near-infrared Raman spectroscopy: a Principal Components Analysis discrimination algorithm
    Silveira, Landulfo, Jr.
    Silveira, Fabricio L.
    Bodanese, Benito
    Pacheco, Marcos Tadeu T.
    Zangaro, Renato A.
    PHOTONIC THERAPEUTICS AND DIAGNOSTICS VIII, PTS 1 AND 2, 2012, 8207
  • [48] Partial least squares and principal components analysis of wine vintage by high performance liquid chromatography with chemiluminescence detection
    Bellomarino, S. A.
    Parker, R. M.
    Conlan, X. A.
    Barnett, N. W.
    Adams, M. J.
    ANALYTICA CHIMICA ACTA, 2010, 678 (01) : 34 - 38
  • [49] Spectra and carbonyl index changes on processed beef fats using fourier transform infrared spectrometer and principal component analysis
    Aminullah, Aminullah
    Mardiah, Mardiah
    Hakim, Lukmanul
    Syahbirin, Gustini
    Kemala, Tetty
    SPECTROSCOPY LETTERS, 2020, 53 (02) : 114 - 122
  • [50] Measurement of the glass transition temperature of an epoxy resin using principal components of Raman spectra
    Griffin, Daniel
    Wood, Sebastian
    Hamerton, Ian
    COMPOSITES PART B-ENGINEERING, 2020, 200