光谱学与光谱分析 |
|
|
|
|
|
Carotenoid Levels Measured by Resonance Raman in Vivo |
SHAO Yong-hong1,HE Yong-hong1,MA Hui1*,NAN Nan2,QIAN Long-sheng2,WANG Shu-xia1 |
1. Laboratory of Optical Imaging and Sensing, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China 2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, China Instrument and Control Society, Changchun 130033, China |
|
|
Abstract Carotenoid molecules are powerful antioxidants which can act as scavengers for free radicals, singlet oxygen, and other harmful reactive oxygen species in human body. Studies have shown an inverse correlation between the level of carotenoid and the risk of cancers, cardiovascular diseases, and degenerative diseases. High-performance liquid chromatography is used for measuring carotenoid levels as a standard method, but it is not noninvasive and real-time detecting. The authors have developed a novel noninvasive optical technology to measure carotenoid level in vivo by detecting the resonance Raman spectra, which can be used for high sensitivity and real-time detecting. When a low noise 473 nm laser with power less than the exposure limit set by ANSI Z136.1-2000 standards, a clearly distinguishable low resonance Raman spectra superimposed on a strong fluorescence background is produced. The carotenoid level is assessed by measuring the resonance Raman intensity. Using penetrating tissue technology, the authors improved the signal-to-noise ratio in the setup. The experimental results from different volunteers confirmed that the carotenoid level is proportional to the intake of it. The technology provided important values for clinic applications and science research.
|
Received: 2006-08-06
Accepted: 2006-11-16
|
|
Corresponding Authors:
MA Hui
E-mail: mahui@tsinghua.edu.cn
|
|
Cite this article: |
SHAO Yong-hong,HE Yong-hong,MA Hui, et al. Carotenoid Levels Measured by Resonance Raman in Vivo[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(11): 2258-2261.
|
|
|
|
URL: |
https://www.gpxygpfx.com/EN/Y2007/V27/I11/2258 |
[1] Sies H,Stahl W. Am. J. Clinical Nutrition, 1995, 62: 1315S. [2] Regina B Ramanauskaite, Ine G M J,et al. Pure & Appl. Chem., 1997, 69(10): 2131. [3] Paul S Bernstein. Pure & Appl. Chem., 2002, 74(8): 1419. [4] Matthew B,Schabath H, Barton Grossman, et al. J. Nutr., 2004, 134: 3362. [5] LIU Gang, LIU Jian-hong, ZHANG Lin, et al(刘 刚, 刘剑虹, 张 林, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(5): 723. [6] SU Jing,YU Xi-ling,YOU Jing-lin,et al(苏 静, 于锡玲, 尤静林, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(4): 532. [7] Utzinger U, Heintzelman D L, Mahadevan Jansen A,et al. Appl. Spectrosc., 2001, 55: 955. [8] ZHAO Xiao-jie, JIANG Shan, FAN Yong-chang, et al(赵晓杰, 江 山, 范永昌, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 1994, 14(1): 29. [9] CEN Yan, ZHANG Ren, YAO Wen-hua, et al(岑 剡, 张 人, 姚文华, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(3): 405. [10] Zinchuk V V, Dorokhina L V. Biology and Chemistry, 2002, 6(1): 29. [11] Endo M, Kim C, Karaki T,et al. Phys. Rev. B, 1998, 58: 899. [12] Igor V Ermakov, Maia R Ermakova, Robert W McClane, et al. Optics Letters, 2001, 26(15): 1179. [13] Lü Yan-fei, TAN Hui-ming, QIAN Long-sheng(吕彦飞, 檀慧明, 钱龙生). Optics and Precision Engineering(光学精密工程), 2005, 13(3): 260. [14] Zhi C Y, Bai X D, Wang E G. Appl. Phys. Lett., 2002, 80: 3590. [15] Gellermann W, Ermakov I V, Ermakova M R, et al. J. Opt. Soc. Am. A, 2002, 19: 1172. [16] YU Ge, XU Xia-xuan, Lü Shu-hua, et al(于 轲,徐晓轩,吕淑华,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(5):869.
|
[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] |
LIU Jia1, 2, GUO Fei-fei2, YU Lei2, CUI Fei-peng2, ZHAO Ying2, HAN Bing2, SHEN Xue-jing1, 2, WANG Hai-zhou1, 2*. Quantitative Characterization of Components in Neodymium Iron Boron Permanent Magnets by Laser Induced Breakdown Spectroscopy (LIBS)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 141-147. |
[6] |
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. |
[7] |
GUO Wei1, CHANG Hao2*, XU Can3, ZHOU Wei-jing2, YU Cheng-hao1, JI Gang2. Effect of Continuous Laser Irradiation on Scattering Spectrum
Characteristics of GaAs Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3674-3681. |
[8] |
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. |
[9] |
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. |
[10] |
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. |
[11] |
QI Guo-min1, TONG Shi-qian1, LIN Xu-cong1, 2*. Specific Identification of Microcystin-LR by Aptamer-Functionalized Magnetic Nanoprobe With Laser-Induced Fluorescence[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3813-3819. |
[12] |
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. |
[13] |
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. |
[14] |
YANG Wen-feng1, LIN De-hui1, CAO Yu2, QIAN Zi-ran1, LI Shao-long1, ZHU De-hua2, LI Guo1, ZHANG Sai1. Study on LIBS Online Monitoring of Aircraft Skin Laser Layered Paint Removal Based on PCA-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3891-3898. |
[15] |
DUAN Ming-xuan1, LI Shi-chun1, 2*, LIU Jia-hui1, WANG Yi1, XIN Wen-hui1, 2, HUA Deng-xin1, 2*, GAO Fei1, 2. Detection of Benzene Concentration by Mid-Infrared Differential
Absorption Lidar[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3351-3359. |
|
|
|
|