|
|
|
|
|
|
Research Progress and Application of Surface-Enhanced Raman Scattering Technique in Nucleic Acid Detection |
TIAN Hui-yan1,LIU Yu1, HUANG Jiao-qi1, XIE Feng-xin1, HUANG Guo-rong1, LIAO Pu1, FU Wei-ling1, ZHANG Yang2* |
1. Department of Clinical Laboratory,The First Affiliated Hospital of the Army Military Medical University,Chongqing 400038,China
2. Department of Laboratory Medicine,Chongqing University Cancer Hospital, Chongqing 400030, China |
|
|
Abstract Nucleic acid is the most basic genetic material in life. It is of great significance to carry out a nucleic acid molecular diagnosis to promote the development of human health and medical treatment. Surface-enhanced Raman spectroscopy (SERS), as a rapid, nondestructive testing technique, has the advantages of simple sample preparation, low interference of water, non-invasion, and real-time detection. It has shown great application potential in the fields of nucleic acid detection, pathogenic microorganism detection and tumor accurate molecular diagnosis. Based on the application of clinical examination, a brief tutorial on SERS technical principle and SERS enhancement theory are given first of all. Then the review mainly summarizes the recent trends and developments of SERS in the detection of nucleic acid. The traditional label-free SERS detection is to detect the Raman signal of nucleic acid itself directly, but its sensitivity and specificity can not meet the detection requirements. In the labeled SERS detection, the Raman reporter molecule is connected with the target nucleic acid by DNA probe. The qualitative and quantitative detection of target DNA/RNA is realized by detection and analysis of the Raman reporter molecular signal, which demonstrates the advantage of SERS as “fingerprint” and achieves the purpose of high throughput detection with good control lability and stability. According to different Raman signal amplification methods, the labeled SERS analysis on nucleic acid detection mainly include “sandwich structure”, signal turn “on /off”, and hybridization chain reaction (HCR) signal amplification method, especially the “sandwich structure” detection strategy has the highest sensitivity. These researches have demonstrated that the application of SERS in DNA/RNA detection could over come the shortcoming of traditional methods, and provide a rapid, effective and sensitive analytical tool for real-time monitoring of nucleic acid and accurate real-time diagnosis of clinical diseases. At the same time, there are still great challenges for the application of SERS technology in clinical application: (1) The poor binding stability of Raman reporter molecules to nanoparticles makes it difficult to realize the high sensitivity SERS probe which can be stored stably for a long time. (2) the composition of clinical, biological samples is complex, and there are many interference factors to SERS detection signal, so it is necessary to select effective data analysis methods. (3) The research of highly sensitive, easy to operate, low-cost Raman spectrometer is the key to transform SERS technology into practical application. In the future, with the deepening of SERS and the cross-development of multi-disciplinary, SER technology is expected to be widely used in nucleic acid detection and the whole biomedical detection field, and provide a powerful analytical technology for life science.
|
Received: 2019-07-17
Accepted: 2019-11-22
|
|
Corresponding Authors:
ZHANG Yang
E-mail: millen001@163.com
|
|
[1] Lipkowski J. Adsorption of Molecules at Metal Electrodes, 1994.
[2] Fleischmann M, Hendra P J, McQuillan A J. Chemical Physics Letters,1974,26(2):163.
[3] Albrecht M G, Creighton J A. Journal of the American Chemical Society,1977,99(15):5215.
[4] Nie Shuming, Steven R Emory. Science,1997,275(5303):1102.
[5] Katrin Kneipp Yang Wang, Harald Kneipp. Physical Review Letters,1997,78(9):1667.
[6] Xu Hongxing, Javier Aizpurua, Mikael Ka¨ll, et al. Physical Review E,2000,62(3):4318.
[7] WANG Xiao-hui, XU Tao-tao, HUANG Yi-qun, et al(王晓辉, 徐涛涛, 黄轶群,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2019,39(1):123.
[8] William E Doering,Nie Shuming. J. Phys. Chem. B,2002,106(2):311.
[9] Amy M Michaels,Jiang Jiang, Louis Brus. J. Phys. Chem. B,2000,104:11965.
[10] Eduardo Garcia-Rico, Ramon A Alvarez-Puebla, Luca Guerrini. Chemical Society Reviews,2018,47(13):4909.
[11] Zheng Xiaoshan, Izabella Jolan Jahn, Karina Weber, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2018,197:56.
[12] Sajanlal R Panikkanvalappil,Megan A Mackey, Mostafa A El-Sayed. J. Am. Chem. Soc.,2013,135(12):4815.
[13] Justin L Abell,Jeonifer M Garren, Jeremy D Driskell, et al. J. Am. Chem. Soc.,2012,134(31):12889.
[14] Qian Ximei, Peng Xianghong, Dominic O Ansari, et al. Nature Biotechnology,2008,26(1):83.
[15] Kaustabh Kumar Maiti U. S. Dinish, Animesh Samanta. Nano Today,2012,7:85.
[16] Melek Erol, Yun Han, Scott K Stanley, et al. J. Am. Chem. Soc., 2009, 131(22): 7480.
[17] Wang Yunqing, Yan Bing, Chen Lingxin. Chemical Reviews, 2013, 113(3): 1391.
[18] SONG Chun-yuan, YANG Yan-jun, WANG Lian-hui(宋春元, 杨琰君, 汪联辉). Progress in Chemistry(化学进展),2014,26(9):1516.
[19] Zhou Wen, Tian Yafei, Yin Bincheng. Anal. Chem., 2017, 89: 6120.
[20] Li Ming,Scott K Cushing, Liang Hongyan, et al. Analytical Chemistry,2013,85(4):2072.
[21] Taejoon Kang,Seung Min Yoo, Ilsun Yoon, et al. Nano Letters,2010,10(4):1189.
[22] Liu Min, Wang Zhuyuan, Zong Shenfei. Analytical and Bioanalytical Chemistry,2013,405(18):6131.
[23] Tuan Vo-Dinh,Fei Yan, Musundi B Wabuyele. Journal of Raman Spectroscopy,2005,36(6-7):640.
[24] Song Chunyuan, Yang Yanjun, Yang Boyue, et al. Nanoscale,2016,8(39):17365.
[25] Hsin-Neng Wang,Bridget M Crawford, Andrew M Fales, et al. The Journal of Physical Chemistry,C., 2016,120(37):21047.
[26] Li Xiaoxiao, Ye Sujuan, Luo Xiliang. Chem. Commun., 2016, 52: 10269.
[27] Liu Huiqiao,Li Qiang, Li Mingmin. Analytical Chemistry,2017,89(9):4776.
[28] He Yi, Yang Xia, Yuan Ruo. Analytical Chemistry, 2017, 89(5): 2866.
[29] Elizabeth Crew, Yan Hong, Lin Liqin. Analyst,2013,138(17):4941. |
[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. |
|
|
|
|