|
|
|
|
|
|
| The Removal of Water Peaks From IR Spectra of BSA Aqueous Solution by Two ATR Background Samples and Thermal Behavior of Proteins |
| XU Yang-biao, WANG Hai-shui* |
School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510640, China
|
|
|
|
|
Abstract In the infrared spectroscopic study of aqueous protein solution, the characteristic peaks of solvent water and protein overlap partially or completely, which seriously affects the quantitative and structural analysis of protein. In this study, the solvent single beam spectra with arbitrary intensity were successfully synthesized by using two background samples. Therefore the solvent peaks in protein solution can be removed completely. The results of the hybrid spectrum were compared with those of the subtraction spectrum, and it was found that the hybrid spectrum has obvious advantages. The secondary structure information obtained from the second derivative of the hybrid spectra of BSA is in good agreement with that reported in the literature. Hybrid spectroscopy has also been used to study the thermal behavior of aqueous protein solutions. Without the interference of water peaks, the resolution of the amide Ⅰ and amide Ⅱ bands become easier. As the temperature increased, the peak position of the protein shifted. After high-temperature treatment, the bioactivity of BSA is lost.
|
|
Received: 2021-04-01
Accepted: 2021-11-16
|
|
|
|
Corresponding Authors:
WANG Hai-shui
E-mail: wanghsh@scut.edu.cn
|
|
[1] Nepusz T, Yu H, Paccanaro A. Nat. Methods, 2012, 9: 471.
[2] Giovanni N, Roviello, Giorgia Oliviero, et al. Arabian Journal of Chemistry, 2020, 13(1): 1966.
[3] Xing Z S, Miao Z, Ying H, et al. Journal of the American Chemical Society, 2014, 136(16): 5844.
[4] Yang H, Yang S, Kong J, et al. Nature Protocols, 2015, 10(3): 382.
[5] Malferrari M, Venturoli G, Francia F, et al. Spectroscopy: An International Journal, 2012, 27(5-6): 337.
[6] Lewis R N A H, Kiricsi M, Prenner E J, et al. Biochemistry, 2003, 42(2): 440.
[7] Grdadolnik J, Maréchal Y. Applied Spectroscopy, 2005, 59(11): 1347.
[8] Etzion Y, Linker R, Cogan U, et al. Journal of Dairy Science, 2004, 87(9): 2779.
[9] Frossard A A, Russell L M. Environmental Science & Technology, 2012, 46(24): 13326.
[10] Barth A. Biochimica et Biophysica Acta (BBA)—Bioenergetics, 2007, 1767(9): 1073.
[11] Kong J, Yu S. Acta Biochimica et Biophysica Sinica, 2007, 39(8): 549.
[12] Baello B I, Pancoska P, Keiderling T A. Analytical Biochemistry, 2000, 280(1): 46.
[13] Smith B M, Franzen S. Analytical Chemistry, 2002, 74(16): 4076.
[14] Dong A, Huang P, Caughey W S. Biochemistry, 1990, 29(13): 3303.
|
| [1] |
BAO Hao1, 2，ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
| [2] |
LAN Yan1，WANG Wu1，XU Wen2，CHAI Qin-qin1*，LI Yu-rong1，ZHANG Xun2. Discrimination of Planting and Tissue-Cultured Anoectochilus Roxburghii Based on SMOTE and Inception-CNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 158-163. |
| [3] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
| [4] |
LIU Xin-peng1, SUN Xiang-hong2, QIN Yu-hua1*, ZHANG Min1, GONG Hui-li3. Research on t-SNE Similarity Measurement Method Based on Wasserstein Divergence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3806-3812. |
| [5] |
ZHANG Shu-fang1, LEI Lei2, LEI Shun-xin2, TAN Xue-cai1, LIU Shao-gang1, YAN Jun1*. Traceability of Geographical Origin of Jasmine Based on Near
Infrared Diffuse Reflectance Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3389-3395. |
| [6] |
GUO Ge1, 3, 4, ZHANG Meng-ling3, 4, GONG Zhi-jie3, 4, ZHANG Shi-zhuang3, 4, WANG Xiao-yu2, 5, 6*, ZHOU Zhong-hua1*, YANG Yu2, 5, 6, XIE Guang-hui3, 4. Construction of Biomass Ash Content Model Based on Near-Infrared
Spectroscopy and Complex Sample Set Partitioning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3143-3149. |
| [7] |
WU Yong-qing1, 2, TANG Na1, HUANG Lu-yao1, CUI Yu-tong1, ZHANG Bo1, GUO Bo-li1, ZHANG Ying-quan1*. Model Construction for Detecting Water Absorption in Wheat Flour Using Vis-NIR Spectroscopy and Combined With Multivariate Statistical #br#
Analyses[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2825-2831. |
| [8] |
LUAN Xin-xin1, ZHAI Chen2, AN Huan-jiong3, QIAN Cheng-jing2, SHI Xiao-mei2, WANG Wen-xiu3, HU Li-ming1*. Applications of Molecular Spectral Information Fusion to Distinguish the Rice From Different Growing Regions[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2818-2824. |
| [9] |
GAO Ya1, LIAO Cui-ping1, ALATAN Chaolumen2, CHEN Jian-bo3, TU Ya4*. X-Ray Diffraction and Infrared Spectral Analysis of the Differential Chemical Indicators Between the Raw and Milk-Processed Corals[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2494-2499. |
| [10] |
JIANG Da-peng2, GAO Li-bin2, CHEN Jin-hao2, ZHANG Yi-zhuo1*. Near Infrared Spectroscopy Modeling Method of Wood Tensile Strength Based on MC-UVE-IVSO[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2488-2493. |
| [11] |
LUO Dong-jie, WANG Meng, ZHANG Xiao-shuan, XIAO Xin-qing*. Vis/NIR Based Spectral Sensing for SSC of Table Grapes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2146-2152. |
| [12] |
LI Wen-xia1, DU Yu-jun2, WANG Yue1, LIU Zheng-dong3*, ZHENG Jia-hui1, DU Wen-qian1, WANG Hua-ping4. Research on On-Line Efficient Near-Infrared Spectral Recognition and Automatic Sorting Technology of Waste Textiles Based on Convolutional Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2139-2145. |
| [13] |
LI Hui, LI Jian-li, SU Qi-hui, HUANG Yu-rong, CHENG Yan-gang, GAO Rui-rui, WANG Ying-li*, ZHAN Hai-xian*. Study on Drug Substance Accumulation of Polygala Tenuifolia in
Different Years Based on FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1103-1111. |
| [14] |
WU Mu-lan1, SONG Xiao-xiao1*, CUI Wu-wei1, 2, YIN Jun-yi1. The Identification of Peas (Pisum sativum L.) From Nanyang Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1095-1102. |
| [15] |
YUE Kong, LU Dong, SONG Xue-song. Influence of Thermal Modification on Poplar Strength Class by Fourier Infrared Spectroscopy Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 848-853. |
|
|
|
|
