| 光谱学与光谱分析 |
|
|
|
|
|
| Raman Tweezers-Based Analysis of Carotenoid Synthesis in Rhodotorula Glutinis |
| YUAN Yu-feng1,2, TAO Zhan-hua2*, LIU Jun-xian1, WANG Gui-wen2, LI Yong-qing3 |
1. College of Physics and Technology, Guangxi Normal University, Guilin 541004, China
2. Lab of Biophysics of Guangxi Academy of Sciences, Nanning 530003, China
3. Department of Physics, East Carolina University, Greenville, East Carolina 27858-4353, USA |
|
|
|
|
Abstract Carotenoid synthesis in Rhodotorula glutinis was investigated with Raman tweezers in order to find the effect of nitrogen and carbon resource on carotenoid yield. The cells in fermentation terminus were harvested, and then divided into two parts, one for UV analysis, the other for Raman tweezers detection. Original spectra were preprocessed by carrying out background elimination and baseline correction, and the averaged spectra of cells cultivated in different fermentation medium were analyzed qualitatively. The results showed that the Raman intensity of carotenoid were obviously different. There was a high correlation between UV results and Raman peak height data, the correlation coefficients of fitted parameters were 0.907 8 and 0.912 1, respectively. Quantitative analysis of 1 508 cm-1 peak height indicated that the appropriate nitrogen and carbon resources for the growth of Rhodotorula glutinis cells and synthesis of carotenoid were yeast extract+tryptone, and glucose, respectively. The above results suggest that Raman tweezers can provide information about carotenoids in Rhodotorula glutinis cells and serve as an effective tool for real time measurement of carotenoid synthesis and optimization of fermentation medium.
|
|
Received: 2010-09-06
Accepted: 2010-12-08
|
|
|
|
Corresponding Authors:
TAO Zhan-hua
E-mail: taozhanhua@163.com, taozh@gxas.cn
|
|
[1] Spano F C. Am. Chem. Soc., 2009, 131(12): 4267.
[2] Serino S, Gomez B T, Costagliola G. Agric. Food Chem., 2009, 57(19): 8753.
[3] Schulz H, Baranska M, Baranski R. Biopolymers, 2005, 77(4): 213.
[4] Puppels G J, Olminkhof J H, Segers-Nolten G M, et al. Exp. Cell. Res., 1991, 195(2): 361.
[5] Yao H L, Tao Z H, Ai M, et al. Vib. Spectrosc., 2009, 50(2): 193.
[6] Ruscino G, De Luca. A C, Pesce. G, et al. Sensors., 2008, 8(12): 7818.
[7] De Luca A C, Ruscino G, Rosanna C, et al. Opt. Express, 2008, 16(11): 7943.
[8] Harvey T J, Hughes C, Ward A D, et al. Biophotonics, 2009, 2(1): 47.
[9] Huang W E, Ward A D, Whiteley A S. Environ. Microbiol., 2009, 1(1): 44.
[10] Chen D, Shelenkova L, Li Y Q, et al. Anal. Chem., 2009, 81(9): 3227.
[11] Xie C A, Mace J, Dinno M A, et al. Anal. Chem., 2005, 77(14): 4390.
[12] Xie C A, Chen D, Li Y Q. Opt. Lett., 2005, 30(14): 1800.
[13] Afseth N K, Spegtnan V H, Wold J P, et al. Appl. Spectrosc., 2006, 60(12): 1360.
[14] Hennerkens C H. Nutrition，1997, 13(7): 697.
[15] Bhosale P B, Gadre R V. Appl. Microbiol. Biotechnol., 2001, 55(4): 423.
|
| [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] |
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. |
| [12] |
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. |
| [13] |
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. |
| [14] |
LI Wen-wen1, 2, LONG Chang-jiang1, 2, 4*, LI Shan-jun1, 2, 3, 4, CHEN Hong1, 2, 4. Detection of Mixed Pesticide Residues of Prochloraz and Imazalil in
Citrus Epidermis by Surface Enhanced Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3052-3058. |
| [15] |
ZHAO Ling-yi1, 2, YANG Xi3, WEI Yi4, YANG Rui-qin1, 2*, ZHAO Qian4, ZHANG Hong-wen4, CAI Wei-ping4. SERS Detection and Efficient Identification of Heroin and Its Metabolites Based on Au/SiO2 Composite Nanosphere Array[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3150-3157. |
|
|
|
|
