Xiuli Fu

Prof. Dr. Xiuli Fu

Yantai University
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2016 in Biosensors and Bioelectronics
Verified
Journal Article
Open access
XFXiuli Fu
Xiuli Fu
ZCZiyi Cheng
Ziyi Cheng
JYJimin Yu
Jimin Yu
PCPriscilla Choo
Priscilla Choo
Lingxin ChenLingxin Chen
Lingxin Chen
Jaebum ChooJaebum Choo
Jaebum Choo
User-friendly lateral flow (LF) strips have been extensively used for point-of-care (POC) self-diagnostics, but they have some limitations in their detection sensitivity and quantitative analysis because they only identify the high cut-off value of a biomarker by utilizing color changes that are detected with the naked eye. To resolve these problems associated with LF strips, we developed a novel surface-enhanced Raman scattering (SERS)-based LF assay for the quantitative analysis of a specific biomarker in the low concentration range. Herein, human immunodeficiency virus type 1 (HIV-1) DNA was chosen as the specific biomarker. Raman reporter-labeled gold nanoparticles (AuNPs) were employed as SERS nano tags for targeting and detecting the HIV-1 DNA marker, as opposed to using bare AuNPs in LF strips. It was possible to quantitatively analyze HIV-1 DNA with high sensitivity by monitoring the characteristic Raman peak intensity of the DNA-conjugated AuNPs. Under optimized conditions, the detection limit of our SERS-based lateral flow assay was 0.24 pg/mL, which was at least 1000 times more sensitive compared to colorimetric or fluorescent detection methods. These results demonstrate the potential feasibility of the proposed SERS-based lateral flow assay to quantitatively detect a broad range of genetic diseases with high sensitivity.

28 December 2012 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
LCLing Chen
Ling Chen
XFXiuli Fu
Xiuli Fu
WLWenhui Lu
Wenhui Lu
Lingxin ChenLingxin Chen
Lingxin Chen

7 February 2012 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
XFXiuli Fu
Xiuli Fu
TLTingting Lou
Tingting Lou
ZCZhaopeng Chen
Zhaopeng Chen
MLMeng Lin
Meng Lin
WFWeiwei Feng
Weiwei Feng
Lingxin ChenLingxin Chen
Lingxin Chen

6 November 2016 in Analytical Chemistry
Verified
Journal Article
Open access
XFXiuli Fu
Xiuli Fu
Lingxin ChenLingxin Chen
Lingxin Chen
Jaebum ChooJaebum Choo
Jaebum Choo

1 April 2012 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
XFXiuli Fu
Xiuli Fu
Lingxin ChenLingxin Chen
Lingxin Chen
JLJinhua Li
Jinhua Li
MLMeng Lin
Meng Lin
HYHuiyan You
Huiyan You
WWWenhai Wang
Wenhai Wang

28 December 2018 in The Analyst
Verified
Journal Article
Closed access
PDF file
XFXiuli Fu
Xiuli Fu
YWYunqing Wang
Yunqing Wang
YLYongming Liu
Yongming Liu
HLHuitao Liu
Huitao Liu
LFLongwen Fu
Longwen Fu
Lingxin ChenLingxin Chen
Lingxin Chen
Cardiac troponin I (cTnI) was considered as the “gold standard” for acute myocardial infarction (AMI) diagnosis owing to its superior cardiac specificity for cardiac damage and showing little or no changes in patients with a skeletal muscle disease or trauma. Herein, a new signal amplification surface-enhanced Raman scattering (SERS) platform was developed for recognition and detection of cTnI by using gold nanoparticles (AuNPs), graphene oxide (GO) and magnetic beads (MB). Here, antibody/Raman reporter labeled AuNP–functionalized GO were employed as both SERS nanotags and signal amplification carriers. Monoclonal antibody modified MB were applied as the capture probe and separation agents. In the presence of cTnI, sandwich type immunocomplexes, “capture probe/target/SERS nanotags”, were formed through antibody–antigen–antibody interactions. Due to the strong SERS enhancement ability of the designed GO/AuNP complexes and a high binding chance between cTnI and the GO/AuNP complexes, the proposed SERS-based immunoassay could selectively detect cTnI with a high sensitivity (detection limit of 5 pg mL−1) and a good linearity was obtained in a range of 0.01–1000 ng mL−1. In addition, this method was also successfully applied for detecting cTnI in serum substitute media with a similar linear range. Furthermore, this strategy can be constructed with different kinds of antibodies and Raman reporters, and thus can be easily used for simultaneous detection of multiple biomarkers. Therefore, this proposed SERS-based signal amplification technique shows strong potential for the clinical diagnosis of AMI disease.