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
[41]   Analysis of Distribution of Ingredients in Commercially Available Clarithromyein Tablets Using Near-Infrared Chemical Imaging with Principal Component Analysis and Partial Least Squares [J].
Koide, Tatsuo ;
Yamamoto, Yoshihisa ;
Fukami, Toshiro ;
Katori, Noriko ;
Okuda, Haruhiro ;
Hiyama, Yukio .
CHEMICAL & PHARMACEUTICAL BULLETIN, 2015, 63 (09) :663-668
[42]   Improved Principal Component Analysis (IPCA): A Novel Method for Quantitative Calibration Transfer between Different Near-Infrared Spectrometers [J].
Zhang, Hui ;
Tan, Haining ;
Lin, Boran ;
Yang, Xiangchun ;
Sun, Zhongyu ;
Zhong, Liang ;
Gao, Lele ;
Li, Lian ;
Dong, Qin ;
Nie, Lei ;
Zang, Hengchang .
MOLECULES, 2023, 28 (01)
[43]   Fuzzy C-means clustering and principal component analysis of time series from near-infrared imaging of forearm ischemia [J].
Mansfield, JR ;
Sowa, MG ;
Scarth, GB ;
Somorjai, RL ;
Mantsch, HH .
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 1997, 21 (05) :299-308
[44]   Dimensionality reduction of near infrared spectral data using global and local implementations of principal component analysis for neural network calibrations [J].
Kovalenko, Igor V. ;
Rippke, Glen R. ;
Hurburgh, Charles R. .
JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2007, 15 (01) :21-28
[45]   Analysis of near-infrared spectra of complicated biological fluids by two-dimensional correlation spectroscopy: Protein and fat concentration-dependent spectral changes of milk [J].
Czarnik-Matusewicz, B ;
Murayama, K ;
Tsenkova, R ;
Ozaki, Y .
APPLIED SPECTROSCOPY, 1999, 53 (12) :1582-1594
[46]   Spectroscopic characterization of human immunodeficiency virus type-1-infected plasma by principal component analysis and soft independent modeling of class analogy of visible and near-infrared spectra [J].
Bahmani, Mirza Khalil ;
Khosravi, Ayyoob ;
Miri, Ramin ;
Iwabu, Yukie ;
Ikuta, Kazuyoshi ;
Sakudo, Akikazu .
MOLECULAR MEDICINE REPORTS, 2009, 2 (05) :805-809
[47]   Application of principal component-all possible regression in quantitative analysis of flue-cured tobacco and wheat using near-infrared spectroscopy [J].
Zhang, LD ;
Shen, XN ;
Zhao, LL ;
Li, JH ;
Zhang, JP ;
Xie, WY ;
Shu, RX .
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2000, 28 (06) :723-726
[48]   Near-Infrared Spectral Characteristic Extraction and Qualitative Analysis Method for Complex Multi-Component Mixtures Based on TRPCA-SVM [J].
Zhang, Guiyu ;
Tuo, Xianguo ;
Zhai, Shuang ;
Zhu, Xuemei ;
Luo, Lin ;
Zeng, Xianglin .
SENSORS, 2022, 22 (04)
[49]   Temperature-dependent structural changes in hydrogen bonds in microcrystalline cellulose studied by infrared and near-infrared spectroscopy with perturbation-correlation moving-window two-dimensional correlation analysis [J].
Watanabe, Akihiko ;
Morita, Shigeaki ;
Ozaki, Yukihiro .
APPLIED SPECTROSCOPY, 2006, 60 (06) :611-618