光谱学与光谱分析 |
|
|
|
|
|
FTIR Assessment of the Secondary Structure of Proteins in Royal Jelly under Different Storage Conditions |
WU Li-ming1,2,ZHOU Qun3,ZHOU Xiao2,ZHAO Jing2,SUN Su-qin3*,HU Fu-liang1* |
1. College of Animal Science, Zhejiang University, Hangzhou 310029, China 2. Institute of Apicultural Research, the Chinese Academy of Agricultural Sciences, Beijing 100093, China 3. Key Laboratory of Bioorganic Phosphorus Chemistry Biology (Ministry of Education), Department of Chemistry, Tsinghua University, Beijing 100084, China |
|
|
Abstract The quality of royal jelly has a high positive correlation with its storage periods and temperature. In the present paper, Fourier transform infrared spectra (FTIR) of royal jelly was measured with different temperatures and storage periods, and the compositions of the secondary structure of protein were determined by curve-fitting analysis of the amide Ⅰ bands in the FTIR spectra. The results showed that the spectral differences were observed among these types of samples, the composition of the secondary structures of protein exhibited extreme difference, and the rate of α-helix decreased and β-sheet increased dramatically with the increase in storage temperature and periods. The content of β-turn also tended to increase, and the order of their change extent was 28 ℃>16 ℃>4 ℃>-18 ℃. These results met the theory that royal jelly should be kept under lower temperature. So, FTIR spectroscopy combined with several data-processing methods, such as secondary derivative, deconvolution, and curve fitting would be an effective method for assessing the quality and freshness of royal jelly.
|
Received: 2007-09-28
Accepted: 2007-12-29
|
|
Corresponding Authors:
SUN Su-qin,HU Fu-liang
E-mail: sunsq@tsinghua.edu.cn;flhu@zju.edu.cn
|
|
[1] Stocker A, Rossmann A, Kettrup A, et al. Rapid Communications in Mass Spectrometry, 2006, 20(2): 181. [2] Smuth J. Apidologie, 2001, 32(1): 69. [3] Cristina M, Fiorenza M, Emanuele M. Journal of Agricultural and Food Chemistsy, 2005, 53(11): 4440. [4] Yoshifumi T, Keizo K, Shinichiro I, et al. International Immunopharmacology, 2003, 23(3): 1313. [5] Jean F, Ois A, Sarah Z, et al. Food Chemistry, 2003, 80(1): 85. [6] Zuo Lin, Sun Su-qin,Zhou Qun,et al. Journal of Pharmaeeutieal and Biomedical Analysis,2003, 30(5): 1491. [7] CHEN Jian-bo, ZHOU Qun, SUN Su-qin, et al(陈建波,周 群,孙素琴,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007, 27(8): 1493. [8] WU Jing, SUN Su-qin, ZHOU Qun, et al(吴 婧,孙素琴,周 群,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007, 27(8): 1535. [9] SUN Su-qin, ZHOU Qun, ZHANG Xuan, et al(孙素琴,周 群,张 宣,等). Chinese Journal of Analytical Chemistry(分析化学), 2000, 28(2): 211. [10] BIAN Wei-dong, SUN Su-qin, HUANG Yue-shun, et al(卞为东, 孙素琴,黄岳顺,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2000, 20(4):471. [11] Fink A L. Folding and Design, 1998, 3(1): R9. [12] Byler D M, Brouiliette J N, Susi H. Spectroscopy, 1986, 1(3): 29. [13] Byler D M, Susi H. Bioploymers, 1986, 25(3): 469. [14] CI Yun-xiang, GAO Ti-yu, FENG Jun, et al(慈云祥,高体玉,冯 军,等). Chinese Science Bulletin(科学通报), 1998, 43(24): 2627. [15] Qi X, Holt C, Mcnultyd D, et a1. Journal of Biochemistry, 1997, 324: 341. |
[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] |
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. |
[6] |
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. |
[7] |
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. |
[8] |
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. |
[9] |
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. |
[10] |
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. |
[11] |
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. |
[12] |
HE Qing-yuan1, 2, REN Yi1, 2, LIU Jing-hua1, 2, LIU Li1, 2, YANG Hao1, 2, LI Zheng-peng1, 2, ZHAN Qiu-wen1, 2*. Study on Rapid Determination of Qualities of Alfalfa Hay Based on NIRS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3753-3757. |
[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. |
|
|
|
|