光谱学与光谱分析 |
|
|
|
|
|
Quantization Determination Study of Micro-Raman Spectroscopy of Methemoglobin Induced by Sodium Nitrite |
GUO Shi-jun1, ZENG Chang-chun1, 2*, LI Li-jun2, NIE Guang3, LIU Song-hao4 |
1. MOE Key Laboratory of Laser Life Science & Laboratory of Photonic Chinese Medicine, College of Biophotonics, South China Normal University, Guangzhou 510631, China 2. School of Basic Medical Sciences, Guilin Medical University, Guilin 541004, China 3. Department of Internal Medicine, Shenzhen Third People’s Hospital, Shenzhen 518112, China 4. School for Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510631, China |
|
|
Abstract In the present study, Raman spectral characteristics of methemoglobin (MetHb) induced by sodium nitrite (NaNO2) were investigated. Hemoglobin (Hb) was oxidated to MetHb with NaNO2, the Raman spectral specific changes of MetHb was studied by determining the Raman spectral changes of methemoglobin/total hemoglobin of different ratios, and the Raman intensities of methemoglobin/total hemoglobin of different ratios at 1 586, 1 605 and 1 637 cm-1 were linearly fitted to realize its quantitative detection. The results show that the completely oxidized MetHb can be obtained when the molar ratio of NaNO2 to Hb is 3.5∶1 whose Raman characteristic peaks are at around 499, 1 340, 1 562 and 1 622 cm-1, and that the linear fitting correlation coefficients R2 of the Raman intensities of methemoglobin/total hemoglobin of different ratios at 1 586, 1 605 and 1 637 cm-1 are 0.972 84, 0.997 97 and 0.991 26 respectively, which shows a good linear relationship. This study indicates that the Raman spectrums of MetHb induced by NaNO2 have characteristic differences when compared with normal Hb, that the locations and intensities of Raman characteristic peaks change correspondingly with the alterations of the ratios of methemoglobin/total hemoglobin, and that there are linear correlations between the ratios and their corresponding Raman intensities, which would provide theoretical bases for the clinical Raman spectral detection and quantitative study of methemoglobinemia.
|
Received: 2012-11-14
Accepted: 2013-02-12
|
|
Corresponding Authors:
ZENG Chang-chun
E-mail: gzzysys@scnu.edu.cn
|
|
[1] Vergara A, Vitagliano L, Verde C, et al. Methods in Enzymology, 2008, 436: 425. [2] Power G G, Bragg S L, Oshiro B T, et al. Journal of Applied Physiology, 2007, 103(4): 1359. [3] Ewen S, Geoffrey D J. Modern Raman Spectroscopy-A Practical Approach. New York: John Wiler & Sons, Ltd., 2005. [4] Desbois A, Lutz M, Banerjee R. Biochemistry, 1979, 18(8): 1510. [5] Jeyarajah S, Proniewicz L M, Bronder H, et al. Journal of Biological Chemistry, 1994, 269(49): 31047. [6] Podstawka E, Proniewicz L M. Journal of Inorganic Biochemistry, 2004, 98(9): 1502. [7] Wood B R, McNaughton D. Journal of Raman Spectroscopy, 2002, 33(7): 517. [8] Yammoto T, Palmer G. Journal of Biological Chemistry, 1973, 248(14): 5211. [9] Rousseau D L, Ching Y C, Brunori M, et al. Journal of Biological Chemistry, 1989, 264(14): 7878. [10] Wood B R, Tait B, McNaughton D. Biochimica et Biophysica Acta, 2001, 1539(1-2): 58. [11] Smulevich G. Biospectroscopy, 1998, 4(S 5): S3. [12] Abe M, Kitagawa T, Kyogoku Y, et al. Journal of Chemical Physics, 1978, 69: 4526. [13] Hu S, Smith K M, Spiro T G. Journal of the American Chemical Society, 1996, 118: 12638. |
[1] |
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. |
[2] |
WANG Fang-yuan1, 2, HAN Sen1, 2, YE Song1, 2, YIN Shan1, 2, LI Shu1, 2, WANG Xin-qiang1, 2*. A DFT Method to Study the Structure and Raman Spectra of Lignin
Monomer and Dimer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 76-81. |
[3] |
XING Hai-bo1, ZHENG Bo-wen1, LI Xin-yue1, HUANG Bo-tao2, XIANG Xiao2, HU Xiao-jun1*. Colorimetric and SERS Dual-Channel Sensing Detection of Pyrene in
Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 95-102. |
[4] |
WANG Xin-qiang1, 3, CHU Pei-zhu1, 3, XIONG Wei2, 4, YE Song1, 3, GAN Yong-ying1, 3, ZHANG Wen-tao1, 3, LI Shu1, 3, WANG Fang-yuan1, 3*. Study on Monomer Simulation of Cellulose Raman Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 164-168. |
[5] |
WANG Lan-hua1, 2, CHEN Yi-lin1*, FU Xue-hai1, JIAN Kuo3, YANG Tian-yu1, 2, ZHANG Bo1, 4, HONG Yong1, WANG Wen-feng1. Comparative Study on Maceral Composition and Raman Spectroscopy of Jet From Fushun City, Liaoning Province and Jimsar County, Xinjiang Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 292-300. |
[6] |
LI Wei1, TAN Feng2*, ZHANG Wei1, GAO Lu-si3, LI Jin-shan4. Application of Improved Random Frog Algorithm in Fast Identification of Soybean Varieties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3763-3769. |
[7] |
WANG Zhi-qiang1, CHENG Yan-xin1, ZHANG Rui-ting1, MA Lin1, GAO Peng1, LIN Ke1, 2*. Rapid Detection and Analysis of Chinese Liquor Quality by Raman
Spectroscopy Combined With Fluorescence Background[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3770-3774. |
[8] |
LIU Hao-dong1, 2, JIANG Xi-quan1, 2, NIU Hao1, 2, LIU Yu-bo1, LI Hui2, LIU Yuan2, Wei Zhang2, LI Lu-yan1, CHEN Ting1,ZHAO Yan-jie1*,NI Jia-sheng2*. Quantitative Analysis of Ethanol Based on Laser Raman Spectroscopy Normalization Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3820-3825. |
[9] |
LU Wen-jing, FANG Ya-ping, LIN Tai-feng, WANG Hui-qin, ZHENG Da-wei, ZHANG Ping*. Rapid Identification of the Raman Phenotypes of Breast Cancer Cell
Derived Exosomes and the Relationship With Maternal Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3840-3846. |
[10] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
[11] |
HE Yan-ping, WANG Xin, LI Hao-yang, LI Dong, CHEN Jin-quan, XU Jian-hua*. Room Temperature Synthesis of Polychromatic Tunable Luminescent Carbon Dots and Its Application in Sensitive Detection of Hemoglobin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3365-3371. |
[12] |
GUO He-yuanxi1, LI Li-jun1*, FENG Jun1, 2*, LIN Xin1, LI Rui1. A SERS-Aptsensor for Detection of Chloramphenicol Based on DNA Hybridization Indicator and Silver Nanorod Array Chip[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3445-3451. |
[13] |
ZHU Hua-dong1, 2, 3, ZHANG Si-qi1, 2, 3, TANG Chun-jie1, 2, 3. Research and Application of On-Line Analysis of CO2 and H2S in Natural Gas Feed Gas by Laser Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3551-3558. |
[14] |
GUO Jing-fang, LIU Li-li*, CHENG Wei-wei, XU Bao-cheng, ZHANG Xiao-dan, YU Ying. Effect of Interaction Between Catechin and Glycosylated Porcine
Hemoglobin on Its Structural and Functional Properties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3615-3621. |
[15] |
LIU Jia-ru1, SHEN Gui-yun2, HE Jian-bin2, GUO Hong1*. Research on Materials and Technology of Pingyuan Princess Tomb of Liao Dynasty[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3469-3474. |
|
|
|
|