Surface-Enhanced Raman Spectroscopy Analysis on the Serum, Muscular and Synovial Tissue of the Knee in Knee Osteoarthritis Model Rats
Wang Lulu4; Liu Lei4; Li Pan2; Wang Jie1,3; He Lu1,3; Wu Zi-jian1,3; Yang Liang-bao2; Hu Ling1
刊名SPECTROSCOPY AND SPECTRAL ANALYSIS
2020-09-01
卷号40
关键词Surface-enhanced Raman spectroscopy Knee osteoarthritis Serum Muscular tissue Synovial tissue
ISSN号1000-0593
DOI10.3964/j.issn.1000-0593(2020)09-2751-05
通讯作者Wu Zi-jian(wuzijian@ahtcm.edu.cn)
英文摘要Surface-enhanced Raman Spectorscopy (SERS) spectra of serum, knee muscles and synovial tissues of normal rats and Model of Knee Osteoarthritis (KOA) are analyzed, providing an experimental basis for biological changes of KOA. Twenty normal healthy male SD rats were raised under the same conditions and randomly divided into normal control group (referred to as "normal group") and KOA model group (referred to as "model group"), with 10 rats in each group. The KOA model was prepared by intra-articular injection of 0.03 mol.L-1 of l-cysteine and 4% papain. The classification of surficial enhanced Raman spectra in serum, knee muscle and synovial tissue of rats was detected by silver nanometer substrate fluid. NGLabSpec software was used to compare the differences of Raman frequency shift and characteristic peaks between the two groups, and OriginPro 8.5 software was used to analyze Raman spectra. In the serum, within the range of Raman frequency shift 400 similar to 2 000 cm(-1), there were 12 characteristic peaks in the normal group and 14 in the model group, and the peak strength of most characteristic peaks in the model group was lower than that in the normal group, and significant difference characteristic peaks appeared in 495, 883 and 1 447 cm(-1) of the two groups; in the muscle tissue of the knee joint, there were 12 characteristic peaks in the normal group and 13 in the model group, there were significant differences in the Raman strength of the characteristic peaks of homogeneity between the two groups; in synovial tissues and the normal group has 10 characteristic peaks, has 15 model group, two groups of the common characteristic peak of peak intensity change is not obvious, but in the 655, 950, 1 335, 1 447 cm(-1) of the homogeneous characteristic peaks show that the peak strength of significant differences, in 655 and 950 cm(-1) of a significant rise in the model group, and 1 335 and 1 447 cm(-1) model is the relative strength of two groups decreased significantly. KOA model led to a significant decrease in the number of homogenous characteristic peaks of serum, knee muscle and synovial tissue, and an increase in different substances. Thus the metabolic balance of substances was seriously broken. SERS is a fast and accurate detection method, which can be used for the detection of KOA model.
WOS研究方向Spectroscopy
语种英语
出版者OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS
WOS记录号WOS:000576358300016
内容类型期刊论文
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/104467]  
专题中国科学院合肥物质科学研究院
通讯作者Wu Zi-jian
作者单位1.Anhui Acad Chinese Med, Inst Acupuncture & Meridian, Hefei 230038, Peoples R China
2.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
3.Anhui Univ Chinese Med, Sch Acupuncture & Tuina, Hefei 230012, Peoples R China
4.Anhui Univ Chinese Med, Sch Postgrad Student, Hefei 230012, Peoples R China
推荐引用方式
GB/T 7714
Wang Lulu,Liu Lei,Li Pan,et al. Surface-Enhanced Raman Spectroscopy Analysis on the Serum, Muscular and Synovial Tissue of the Knee in Knee Osteoarthritis Model Rats[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2020,40.
APA Wang Lulu.,Liu Lei.,Li Pan.,Wang Jie.,He Lu.,...&Hu Ling.(2020).Surface-Enhanced Raman Spectroscopy Analysis on the Serum, Muscular and Synovial Tissue of the Knee in Knee Osteoarthritis Model Rats.SPECTROSCOPY AND SPECTRAL ANALYSIS,40.
MLA Wang Lulu,et al."Surface-Enhanced Raman Spectroscopy Analysis on the Serum, Muscular and Synovial Tissue of the Knee in Knee Osteoarthritis Model Rats".SPECTROSCOPY AND SPECTRAL ANALYSIS 40(2020).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace