|
|
|
|
|
|
Research in Glycated Progress and Products of Human Serum Albumin by Infrared and CD Spectroscopy |
WANG A-mei1, TU Zong-cai1, 2, WANG Hui1*, MA Da1 |
1. State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
2. College of Life Science, Jiangxi Normal University, Nanchang 330022, China |
|
|
Abstract In this study, human serum albumin (HSA) glycated products in dry processing, HSA and glucose were mixed into solution with mass proportion of 1∶1, free-drying for 48 h, totally 20 samples were obtained according to different reaction times. This study mainly used multi-spectral technology (UV, fluorescence, near infrared spectroscopy, infrared spectroscopy, CD spectroscopy) to analyze the changes of protein secondary tertiary structure, functional groups after glycation of HSA, glycated product and progress of protein. The results show that, the glycation process is easy to occur when HSA was mixed with the glucose in hot and dry conditions, with the increase of reaction time, UV absorption intensity weakened, fluorescence absorption intensity increased and reveal the higher degree of glycation and Maillard reaction, the secondary tertiary structure of protein had small changes. The reaction took about 140 min, the glycation was complete, the Amadori product was formed, and then was further heated to about 240 min, the reaction entered the middle and late period, and the aldehydes and ketones were formed. The reaction took about 280 min, protein amino groups and carbonyl compounds occurred decarboxylation and deamination.
|
Received: 2017-09-30
Accepted: 2018-01-22
|
|
Corresponding Authors:
WANG Hui
E-mail: wanghui00072@aliyun.com
|
|
[1] Li Hongliang, Wu Fan, Tan Jing, et al. Journal of Pharmaceutical and Biomedical Analysis, 2016, 122: 21.
[2] Sattarahmady N, Moosavi-Movahedi A, Habibi-Rezaei M. Journal of Medical Biochemistry, 2011, 30(1): 5.
[3] Silva A M, Sousa P R, Coimbra J T S, et al. Biochemical Journal, 2014. 461(1): 33.
[4] Anguizola J, Debolt E, Suresh D, et al. Journal of Chromatography B, 2016, 1021: 175.
[5] Thornalley P J, Langborg A, Minhas H S. Biochemical Journal, 1999, 344(1): 109.
[6] Bhattacherjee A, Chakraborti A S. International Journal of Biological Macromolecules, 2011, 48(1): 202.
[7] Wang Chun, Wu Qiuhua, Li Cairui, et al. Analytical Sciences, 2007, 23(4): 429.
[8] Zhang Ming, Zheng Junyan, Ge Keshan, et al. International Dairy Journal, 2014, 34(2): 220.
[9] JIANG Tao, MA Liang, ZHANG Zhen-yu, et al(江 涛, 马 良, 张宇昊, 等). Analytical Chemistry(分析化学), 2016, 44(1): 54.
[10] Han Yupeng, Li Yongxian, Hang Yu, et al. Food Chemistry, 2015,188: 201.
[11] Li Ying, He Wenying, Dong Yuming, et al. Bioorganic & Medicinal Chemistry, 2006,14(5): 1431. |
[1] |
CHENG Jia-wei1, 2,LIU Xin-xing1, 2*,ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
[2] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
[3] |
YANG Cheng-en1, 2, LI Meng3, LU Qiu-yu2, WANG Jin-ling4, LI Yu-ting2*, SU Ling1*. Fast Prediction of Flavone and Polysaccharide Contents in
Aronia Melanocarpa by FTIR and ELM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 62-68. |
[4] |
GAO Feng1, 2, XING Ya-ge3, 4, LUO Hua-ping1, 2, ZHANG Yuan-hua3, 4, GUO Ling3, 4*. Nondestructive Identification of Apricot Varieties Based on Visible/Near Infrared Spectroscopy and Chemometrics Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 44-51. |
[5] |
LI Yu1, ZHANG Ke-can1, PENG Li-juan2*, ZHU Zheng-liang1, HE Liang1*. Simultaneous Detection of Glucose and Xylose in Tobacco by Using Partial Least Squares Assisted UV-Vis Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 103-110. |
[6] |
LIU Jia, ZHENG Ya-long, WANG Cheng-bo, YIN Zuo-wei*, PAN Shao-kui. Spectra Characterization of Diaspore-Sapphire From Hotan, Xinjiang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 176-180. |
[7] |
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. |
[8] |
GUO Ya-fei1, CAO Qiang1, YE Lei-lei1, ZHANG Cheng-yuan1, KOU Ren-bo1, WANG Jun-mei1, GUO Mei1, 2*. Double Index Sequence Analysis of FTIR and Anti-Inflammatory Spectrum Effect Relationship of Rheum Tanguticum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 188-196. |
[9] |
BAI Xue-bing1, 2, SONG Chang-ze1, ZHANG Qian-wei1, DAI Bin-xiu1, JIN Guo-jie1, 2, LIU Wen-zheng1, TAO Yong-sheng1, 2*. Rapid and Nndestructive Dagnosis Mthod for Posphate Dficiency in “Cabernet Sauvignon” Gape Laves by Vis/NIR Sectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3719-3725. |
[10] |
WANG Qi-biao1, HE Yu-kai1, LUO Yu-shi1, WANG Shu-jun1, XIE Bo2, DENG Chao2*, LIU Yong3, TUO Xian-guo3. Study on Analysis Method of Distiller's Grains Acidity Based on
Convolutional Neural Network and Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3726-3731. |
[11] |
DANG Rui, GAO Zi-ang, ZHANG Tong, WANG Jia-xing. Lighting Damage Model of Silk Cultural Relics in Museum Collections Based on Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3930-3936. |
[12] |
SUN Wei-ji1, LIU Lang1, 2*, HOU Dong-zhuang3, QIU Hua-fu1, 2, TU Bing-bing4, XIN Jie1. Experimental Study on Physicochemical Properties and Hydration Activity of Modified Magnesium Slag[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3877-3884. |
[13] |
LI Xiao-dian1, TANG Nian1, ZHANG Man-jun1, SUN Dong-wei1, HE Shu-kai2, WANG Xian-zhong2, 3, ZENG Xiao-zhe2*, WANG Xing-hui2, LIU Xi-ya2. Infrared Spectral Characteristics and Mixing Ratio Detection Method of a New Environmentally Friendly Insulating Gas C5-PFK[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3794-3801. |
[14] |
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. |
[15] |
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. |
|
|
|
|