Serum analysis method combining cellulose acetate membrane purification with surface-enhanced Raman spectroscopy for non-invasive HBV screening

被引:8
|
作者
Xu, Yunchao [1 ]
Wang, Yunyi [1 ]
Lin, Huijin [1 ]
Liu, Xiaokun [1 ]
Zheng, Zuci [1 ]
Wang, Tingyin [2 ]
Feng, Shangyuan [1 ]
机构
[1] Fujian Normal Univ, Key Lab OptoElect Sci & Technol Med, Fujian Prov Key Lab Photon Technol, Minist Educ, Fuzhou, Fujian, Peoples R China
[2] Fujian Normal Univ, Digital Fujian Internet Things Lab Environm Monit, Fuzhou, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
patient diagnosis; surface enhanced Raman scattering; proteins; biomembranes; principal component analysis; purification; silver; nanoparticles; nanomedicine; diseases; serum analysis method; cellulose acetate membrane purification; surface-enhanced Raman spectroscopy; noninvasive HBV screening; rapid HBV screening method; Hepatitis B virus; membrane protein purification; silver nanoparticle-based surface-enhanced Raman scattering spectroscopy; reproducible serum protein SERS spectra; cellulose acetate membrane-purified human serum; linear discriminate analysis; diagnostic sensitivity; HBV patient; principal components analysis; HEPATITIS-B-VIRUS; HEPATOCELLULAR-CARCINOMA; OPTICAL-DETECTION; INFECTION; DONORS;
D O I
10.1049/iet-nbt.2019.0274
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A highly sensitive, non-invasive, and rapid HBV (Hepatitis B virus) screening method combining membrane protein purification with silver nanoparticle-based surface-enhanced Raman scattering (SERS) spectroscopy was developed in this study. Reproducible serum protein SERS spectra were obtained from cellulose acetate membrane-purified human serum from 94 HBV patients and 89 normal groups. Tentative assignments of serum protein SERS spectra showed that the HBV patients primarily led to specific biomedical changes of serum protein. Principal components analysis and linear discriminate analysis were introduced to analyse the obtained spectra, with the diagnostic sensitivity of 92.6% and specificity of 77.5% were achieved for differentiating HBV patients from normal groups.
引用
收藏
页码:98 / 104
页数:7
相关论文
共 50 条
  • [41] 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
    JOURNAL OF BIOMEDICAL OPTICS, 2014, 19 (08)
  • [42] Tailored silica coated Ag nanoparticles for non-invasive surface enhanced Raman spectroscopy of biomolecular targets
    Sivanesan, Arumugam
    Kozuch, Jacek
    Ly, H. Khoa
    Kalaivani, Govindasamy
    Fischer, Anna
    Weidinger, Inez M.
    RSC ADVANCES, 2012, 2 (03): : 805 - 808
  • [43] Label-free diagnosis of breast cancer based on serum protein purification assisted surface-enhanced Raman spectroscopy
    Lin, Yamin
    Gao, Jiamin
    Tang, Shuzhen
    Zhao, Xin
    Zheng, Mengmeng
    Gong, Wei
    Xie, Shusen
    Gao, Siqi
    Yu, Yun
    Lin, Juqiang
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2021, 263
  • [44] Based on Surface-enhanced Raman spectroscopy analysis of serum albumin in different stages of liver disease for early screening primary liver cancer
    Liao, Fadian
    Ruan, Qiuyong
    Lin, Juqiang
    Lin, Jinyong
    Zeng, Yongyi
    Li, Ling
    Huang, Zufang
    Liu, Nengrong
    Chen, Rong
    TWELFTH INTERNATIONAL CONFERENCE ON PHOTONICS AND IMAGING IN BIOLOGY AND MEDICINE (PIBM 2014), 2014, 9230
  • [45] Surface-enhanced raman spectroscopy: A non invasive alternative procedure for early detection in childhood asthma biomarkers in saliva
    Zamora-Mendoza, B. N.
    Espinosa-Tanguma, R.
    Ramirez-Elias, M. G.
    Cabrera-Alonso, R.
    Montero-Moran, G.
    Portales-Perez, D.
    Rosales-Romo, J. A.
    Gonzalez, J. F.
    Gonzalez, C.
    PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY, 2019, 27 : 85 - 91
  • [46] Identification and analysis of serum samples by surface-enhanced Raman spectroscopy combined with characteristic ratio method and PCA for gastric cancer detection
    Guo, Liu
    Li, Yuanpeng
    Huang, Furong
    Dong, Jia
    Li, Fucui
    Yang, Xinhao
    Zhu, Siqi
    Yang, Maoxun
    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2019, 12 (02)
  • [47] Rapid thyroid dysfunction screening based on serum surface-enhanced Raman scattering and multivariate statistical analysis
    Tian, Dayong
    Lu, Guodong
    Zhai, Zhengang
    Du, Guoli
    Mo, Jiaqing
    Lu, Xiaoyi
    LASER PHYSICS LETTERS, 2018, 15 (01)
  • [48] Cancer screening through surface-enhanced Raman spectroscopy fingerprinting analysis of urinary metabolites using surface-carbonized silver nanowires on a filter membrane
    Yu, Ho-Jae
    Jang, Eunji
    Woo, Ayoung
    Han, In Woong
    Jeon, Hwang Gyun
    Linh, Vo Thi Nhat
    Park, Sung-Gyu
    Jung, Ho Sang
    Lee, Min-Young
    ANALYTICA CHIMICA ACTA, 2024, 1292
  • [49] Surface-enhanced Raman spectroscopy plus support vector machine: a new noninvasive method for prostate cancer screening?
    Li, Shaoxin
    Guo, Zhouyi
    Liu, Zhiming
    EXPERT REVIEW OF ANTICANCER THERAPY, 2015, 15 (01) : 5 - 7
  • [50] PREPARATION OF AG PARTICLE-DOPED CELLULOSE-ACETATE GEL MEMBRANE AS A SURFACE-ENHANCED RAMAN-SCATTERING ACTIVE SUBSTRATE
    ISHIKAWA, H
    IMAI, Y
    KUROKAWA, Y
    VIBRATIONAL SPECTROSCOPY, 1995, 8 (03) : 445 - 449