Rapid and label-free screening of echinococcosis serum profiles through surface-enhanced Raman spectroscopy

被引:21
|
作者
Yue, Xiaxia [1 ]
Li, Hongmei [1 ]
Tang, Jun [1 ]
Liu, Jie [2 ]
Jiao, Juan [3 ]
机构
[1] Xinjiang Univ, Chem Detect Ctr, Phys, Urumqi, Peoples R China
[2] Xinjiang Univ, Coll Informat Sci, Engn, Urumqi, Peoples R China
[3] First Affiliated Hosp Xinjiang Med Univ, Urumqi, Peoples R China
基金
中国国家自然科学基金;
关键词
Echinococcosis; Surface-enhanced Raman spectroscopy; Porous silicon; silver composites; Serum; Orthogonal partial least squares discriminant analysis; BLOOD-PLASMA; NANOPARTICLES; DISCRIMINATION; IDENTIFICATION; TRANSMISSION; FABRICATION; GRANULOSUS; SPECTRA; DNA; AG;
D O I
10.1007/s00216-019-02234-x
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Echinococcosis is a serious zoonotic parasitic disease that could be fatal without diagnosis and treatment in a timely manner. Herein, we present a rapid and label-free method for screening of echinococcosis using surface-enhanced Raman spectroscopy (SERS). Three groups of serum SERS spectra based on porous silicon/silver composites are obtained: one group from healthy volunteers (normal, n = 163) and two other groups from patients with pathologically confirmed echinococcosis (cystic echinococcosis (CE), n = 69 and alveolar echinococcosis (AE), n = 38). The derived characteristic spectrum was analyzed to explain differences between echinococcosis and healthy volunteers and a principal component analysis (PCA) was applied for classification. Raman spectra revealed that high sensitivity and specificity for echinococcosis diagnosis were associated with the contents of phenylalanine and tyrosine. In addition, Raman spectroscopy analysis identified two metabolites including phenylalanine and carotenoids that could distinguish three types of serum. Orthogonal partial least squares discriminant analysis (OPLS-DA) was successfully used as a discriminative model to classify echinococcosis with the highest sensitivity and specificity of 100% and 98.6%, respectively. Combination of serum metabolomics with SERS enabled accurate screening of echinococcosis patients. The results indicate that SERS-based serum profile analysis has the potential to be a valuable tool for the early diagnosis and screening of echinococcosis.
引用
收藏
页码:279 / 288
页数:10
相关论文
共 50 条
  • [1] Rapid and label-free screening of echinococcosis serum profiles through surface-enhanced Raman spectroscopy
    Xiaxia Yue
    Hongmei Li
    Jun Tang
    Jie Liu
    Juan Jiao
    [J]. Analytical and Bioanalytical Chemistry, 2020, 412 : 279 - 288
  • [2] Label-free detection of serum proteins using surface-enhanced Raman spectroscopy for colorectal cancer screening
    Wang, Jing
    Lin, Duo
    Lin, Juqiang
    Yu, Yun
    Huang, Zufang
    Chen, Yanping
    Lin, Jinyong
    Feng, Shangyuan
    Li, Buhong
    Liu, Nenrong
    Chen, Rong
    [J]. JOURNAL OF BIOMEDICAL OPTICS, 2014, 19 (08)
  • [3] Rapid and label-free screening and identification of Anthrax simulants by Surface Enhanced Raman Spectroscopy
    Lai, Antonia
    Almaviva, Salvatore
    Spizzichino, Valeria
    Addari, Lorella
    Palucci, Antonio
    Luciani, Domenico
    Mengali, Sandro
    Marquette, Christophe
    Berthuy, Ophelie
    Jankiewicz, Bartlomiej
    Pierno, Luigi
    [J]. OPTICS AND PHOTONICS FOR COUNTERTERRORISM, CRIME FIGHTING, AND DEFENCE X; AND OPTICAL MATERIALS AND BIOMATERIALS IN SECURITY AND DEFENCE SYSTEMS TECHNOLOGY XI, 2014, 9253
  • [4] Rapid, Label-Free Prediction of Antibiotic Resistance in Salmonella typhimurium by Surface-Enhanced Raman Spectroscopy
    Zhang, Ping
    Wu, Xi-Hao
    Su, Lan
    Wang, Hui-Qin
    Lin, Tai-Feng
    Fang, Ya-Ping
    Zhao, Hui-Min
    Lu, Wen-Jing
    Liu, Meng-Jia
    Liu, Wen-Bo
    Zheng, Da-Wei
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (03)
  • [5] Label-Free Detection of miRNA Using Surface-Enhanced Raman Spectroscopy
    Li, Dan
    Xia, Ling
    Zhou, Qianjiang
    Wang, Ling
    Chen, Dongmei
    Gao, Xin
    Li, Yang
    [J]. ANALYTICAL CHEMISTRY, 2020, 92 (19) : 12769 - 12773
  • [6] Rapid identification of living cancer cells based on label-free surface-enhanced Raman spectroscopy
    Xu, Lijia
    Ren, Bin
    Pu, Mingbo
    Guo, Yinghui
    Li, Xiong
    Luo, Xiangang
    [J]. Optics Communications, 2024, 569
  • [7] Label-free detection of plasma using surface-enhanced Raman spectroscopy for bladder cancer screening
    Bai, Xin
    Liu, Dan
    Lin, Yamin
    Wu, Xiang
    Xu, Qingjiang
    Li, Tao
    Gong, Wei
    Yu, Yun
    Lin, Juqiang
    [J]. OPTICS IN HEALTH CARE AND BIOMEDICAL OPTICS XI, 2021, 11900
  • [8] Label-free and Raman dyes-free surface-enhanced Raman spectroscopy for detection of DNA
    Qian, Yong
    Fan, Taotao
    Yao, Yao
    Shi, Xin
    Liao, Xianjiu
    Zhou, Fuyi
    Gao, Fenglei
    [J]. SENSORS AND ACTUATORS B-CHEMICAL, 2018, 254 : 483 - 489
  • [9] ZnO oxide films for ultrasensitive, rapid, and label-free detection of neopterin by surface-enhanced Raman spectroscopy
    Kaminska, Agnieszka
    Kowalska, Aneta Aniela
    Snigurenko, Dmytro
    Guziewicz, Elzbieta
    Lewinski, Janusz
    Waluk, Jacek
    [J]. ANALYST, 2015, 140 (15) : 5090 - 5098
  • [10] Quantitative label-free RNA detection using surface-enhanced Raman spectroscopy
    Prado, Enora
    Daugey, Nicolas
    Plumet, Sebastien
    Servant, Laurent
    Lecomte, Sophie
    [J]. CHEMICAL COMMUNICATIONS, 2011, 47 (26) : 7425 - 7427