Temperature-dependent near-infrared spectra of bovine serum albumin in aqueous solutions: Spectral analysis by principal component analysis and evolving factor analysis

被引:43
作者
Yuan, B
Murayama, K
Wu, YQ
Tsenkova, R
Dou, XM
Era, S
Ozaki, Y [1 ]
机构
[1] Kwansei Gakuin Univ, Sch Sci & Technol, Dept Chem, Sanda, Hyogo 6691337, Japan
[2] Kwansei Gakuin Univ, Sch Sci & Technol, Res Ctr Near Infrared Spect, Sanda, Hyogo 6691337, Japan
[3] Shanghai Jiao Tong Univ, Dept Phys, Mol Photon Lab, Shanghai 200240, Peoples R China
[4] Gifu Univ, Sch Med, Dept Prot Sci & Struct Biol, Gifu 5008705, Japan
[5] Jilin Univ, Key Lab Supramol Struct & Mat, Changchun 130023, Peoples R China
[6] Kobe Univ, Fac Agr, Higashinada Ku, Kobe, Hyogo 6578501, Japan
关键词
serum albumin; near-infrared spectroscopy; NIR; principal component analysis; PCA; evolving factor analysis; hydration; protein;
D O I
10.1366/000370203769699072
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Fourier transform near-infrared (FT-NIR) spectra have been measured for bovine serum albumin (BSA) in an aqueous solution (pH 6.8) with a concentration of 5.0 wt % over a temperature range of 45-85 degreesC. Not only conventional spectral analysis methods, such as second-derivative spectra and difference spectra, but also chemometrics, such as principal component analysis (PCA) and evolving factor analysis (EFA), have been employed to analyze the temperature-dependent NIR spectra in the 7500-5500 and 4900-4200 cm(-1) regions of the BSA aqueous solution. Intensity changes of bands in the 7200-6600 cm(-1) and 4650-4500 cm(-1) regions in the difference spectra indicate variations of the hydration and secondary structure of BSA in the aqueous solution, respectively. The plot of a band intensity at 7080 cm(-1) in the different spectra shows a clear turning point at 63 degreesC, revealing that a significant change in the hydration occurs at about degrees63 C. The forward and backward eigenvalues (EVs) from EFA suggest that marked changes in the hydration and secondary structure of BSA take place in the temperature ranges of 61-65 degreesC and 59-63 degreesC, respectively. In addition, the temperature of 71 degreesC marked in the EFA plots may correspond to the onset temperature of increase in the intermolecular beta-sheet structure.
引用
收藏
页码:1223 / 1229
页数:7
相关论文
共 49 条
  • [21] Discriminant analysis of Chinese patent medicines based on near-infrared spectroscopy and principal component discriminant transformation
    Xu, Zhihong
    Liu, Yan
    Li, Xiaoyong
    Cai, Wensheng
    Shao, Xueguang
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2015, 149 : 985 - 990
  • [22] Principal Component Analysis and Near-Infrared Spectroscopy as Noninvasive Blood Glucose Assay Methods
    Barati, Hadi
    Madani, Arian Mousavi
    Shadzinavaz, Sorena
    Fardmanesh, Mehdi
    APPLIED SPECTROSCOPY, 2024,
  • [23] Study of thermal dynamics of defatted bovine serum albumin in D2O solution by Fourier transform infrared spectra and evolving factor analysis
    Yuan, Bo
    Murayama, Koichi
    Yan, Huiming
    APPLIED SPECTROSCOPY, 2007, 61 (09) : 921 - 927
  • [24] In-Line Near-Infrared (NIR) and Raman Spectroscopy Coupled with Principal Component Analysis (PCA) for In Situ Evaluation of the Transesterification Reaction
    Fontalvo-Gomez, Miriam
    Colucci, Jose A.
    Velez, Natasha
    Romanach, Rodolfo J.
    APPLIED SPECTROSCOPY, 2013, 67 (10) : 1142 - 1149
  • [26] Study on difference between epidermis, phloem and xylem of Radix Ginseng with near-infrared and infrared spectroscopy coupled with principal component analysis
    Wu, Yanhong
    Zheng, Yi
    Li, Qingqing
    Iqbal, Jibran
    Zhang, Lingyi
    Zhang, Weibing
    Du, Yiping
    VIBRATIONAL SPECTROSCOPY, 2011, 55 (02) : 201 - 206
  • [27] Study on the application of supervised principal component regression procedure to near-infrared spectroscopy quantitative analysis
    College of Science, Beijing Institute of Technology, Beijing 100081, China
    不详
    Guang Pu Xue Yu Guang Pu Fen Xi, 2009, 11 (2959-2961): : 2959 - 2961
  • [28] Study on the Application of Supervised Principal Component Regression Procedure to Near-Infrared Spectroscopy Quantitative Analysis
    Liu Xu-hua
    Xu Xing-zhong
    He Xiong-kui
    Zhang Lu-da
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29 (11) : 2959 - 2961
  • [29] Application of Grey-correlated Spectral Region Selection in Analysis of Near-infrared Spectra
    ZHANG Yong1
    2. State Key Laboratory for Supramolecular Structure and Material
    Chemical Research in Chinese Universities, 2011, 27 (06) : 924 - 928
  • [30] Application of Grey-correlated Spectral Region Selection in Analysis of Near-infrared Spectra
    Zhang Yong
    Xie Yun-fei
    Zhao Bing
    CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 2011, 27 (06) : 924 - 928