Paper-Based Surface-Enhanced Raman Scattering Lateral Flow Strip for Detection of Neuron-Specific Enolase in Blood Plasma

被引:141
作者
Gao, Xuefei [1 ]
Zheng, Peng [1 ]
Kasani, Sujan [2 ]
Wu, Steven [1 ]
Yang, Feng [3 ]
Lewis, Sara [4 ]
Nayeem, Sara [4 ]
Engler-Chiurazzi, Elizabeth B. [4 ]
Wigginton, Jane G. [5 ]
Simpkins, James W. [4 ]
Wu, Nianqiang [1 ]
机构
[1] West Virginia Univ, Dept Mech & Aerosp Engn, Morgantown, WV 26506 USA
[2] West Virginia Univ, Lane Dept Comp Sci & Elect Engn, Morgantown, WV 26506 USA
[3] West Virginia Univ, Ind & Management Syst Engn Dept, Morgantown, WV 26506 USA
[4] Ctr Neurosci, Ctr Basic & Translat Stroke Res, Physiol & Pharmacol, Morgantown, WV 26505 USA
[5] Univ Texas Southwestern Med Ctr Dallas, Dept Surg, Dallas, TX 75390 USA
基金
美国国家卫生研究院;
关键词
TRAUMATIC BRAIN-INJURY; LABEL-FREE DETECTION; SENSITIVE DETECTION; ENZYME-IMMUNOASSAY; BIOMARKER; IMMUNOSENSOR; NANOPARTICLES; BIOSENSOR; MARKERS; PROTEIN;
D O I
10.1021/acs.analchem.7b03015
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
An inexpensive and disposable paper-based lateral flow strip (PLFS) has been developed as an immunoassay, in which surface-enhanced Raman scattering (SERS) is utilized for sensing signal transduction. The Au nanostar@Raman Reporter@silica sandwich nanoparticles are developed as the SERS probes, which is the key to the high sensitivity of the device. Compared with a colorimetric PLFS, the SERS-PLFS exhibits superior performance in terms of sensitivity and limit of detection (LOD) in a blood plasma-containing sample matrix. In addition, the SERS-PLFS has been successfully used for detection of neuron-specific enolase (NSE), a traumatic brain injury (TBI) protein biomarker, in diluted blood plasma samples, achieving a LOD of 0.86 ng/mL. Moreover, the SERS-PLFS was successfully employed to measure the NSE level in clinical blood plasma samples taken from deidentified TBI patients. This work demonstrates that the SERS-PLFS has great potential in assisting screening of TBI patients in the point-of-care setting.
引用
收藏
页码:10104 / 10110
页数:7
相关论文
共 28 条
[1]   Detection of the ovarian cancer biomarker CA-125 using chemiluminescence resonance energy transfer to graphene quantum dots [J].
Al-Ogaidi, Israa ;
Gou, Honglei ;
Aguilar, Zoraida P. ;
Guo, Shouwu ;
Melconian, Alice K. ;
Al-Kazaz, Abdul Kareem A. ;
Meng, Fanke ;
Wu, Nianqiang .
CHEMICAL COMMUNICATIONS, 2014, 50 (11) :1344-1346
[2]  
[Anonymous], 2017, TBI GET THE FACTS
[3]  
[Anonymous], SEV TBI
[4]   Label-free detection of tumor markers using field effect transistor (FET)-based biosensors for lung cancer diagnosis [J].
Cheng, Shanshan ;
Hideshima, Sho ;
Kuroiwa, Shigeki ;
Nakanishi, Takuya ;
Osaka, Tetsuya .
SENSORS AND ACTUATORS B-CHEMICAL, 2015, 212 :329-334
[5]   A portable and quantitative enzyme immunoassay of neuron-specific enolase with a glucometer readout [J].
Fu, Xiaohong ;
Feng, Xueru ;
Xu, Kun ;
Huang, Rong .
ANALYTICAL METHODS, 2014, 6 (07) :2233-2238
[6]   Chemiluminescence enzyme immunoassay using magnetic nanoparticles for detection of neuron specific enolase in human serum [J].
Fu, Xiaoling ;
Meng, Meng ;
Zhang, Yu ;
Yin, Yongmei ;
Zhang, Xiangsheng ;
Xi, Rimo .
ANALYTICA CHIMICA ACTA, 2012, 722 :114-118
[7]   A SERS-based lateral flow assay biosensor for highly sensitive detection of HIV-1 DNA [J].
Fu, Xiuli ;
Cheng, Ziyi ;
Yu, Jimin ;
Choo, Priscilla ;
Chen, Lingxin ;
Choo, Jaebum .
BIOSENSORS & BIOELECTRONICS, 2016, 78 :530-537
[8]   An enzyme-amplified lateral flow strip biosensor for visual detection of MicroRNA-224 [J].
Gao, Xuefei ;
Xu, Li-Ping ;
Wu, Tingting ;
Wen, Yongqiang ;
Ma, Xinlei ;
Zhang, Xueji .
TALANTA, 2016, 146 :648-654
[9]   Visual detection of microRNA with lateral flow nucleic acid biosensor [J].
Gao, Xuefei ;
Xu, Hui ;
Baloda, Meenu ;
Gurung, Anant S. ;
Xu, Li-Ping ;
Wang, Tao ;
Zhang, Xueji ;
Liu, Guodong .
BIOSENSORS & BIOELECTRONICS, 2014, 54 :578-584
[10]   Novel electrochemical catalysis as signal amplified strategy for label-free detection of neuron-specific enolase [J].
Han, Jing ;
Zhuo, Ying ;
Chai, Ya-Qin ;
Yuan, Ya-Li ;
Yuan, Ruo .
BIOSENSORS & BIOELECTRONICS, 2012, 31 (01) :399-405