Xiaofu Wang

Dr. Xiaofu Wang


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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26 October 2021 in Analytical Chemistry
Verified
Journal Article
Closed access
HGHaoran Ge
Haoran Ge
XWXiaofu Wang
Xiaofu Wang
JXJunfeng Xu
Junfeng Xu
HLHan Lin
Han Lin
HZHuiqian Zhou
Huiqian Zhou
ZGZhiyong Guo
Zhiyong Guo

29 March 2024 in Analytical Chemistry
Verified
Journal Article
Closed access
LYLei Yang
Lei Yang
GCGuanwei Chen
Guanwei Chen
Jian WuJian Wu
Jian Wu
WWWei Wei
Wei Wei
Peng ChengPeng Cheng
Peng Cheng
JXJunfeng Xu
Junfeng Xu

19 October 2021 in ACS Sensors
Verified
Journal Article
Closed access
HWHui Wu
Hui Wu
SQSiwenjie Qian
Siwenjie Qian
CPCheng Peng
Cheng Peng
XWXiaofu Wang
Xiaofu Wang
TWTingzhang Wang
Tingzhang Wang
Jian WuJian Wu
Jian Wu

21 February 2023 in ACS Sensors
Verified
Journal Article
Closed access
Peng ChengPeng Cheng
Peng Cheng
YWYuling Wang
Yuling Wang
XCXiaoyun Chen
Xiaoyun Chen
XWXiaofu Wang
Xiaofu Wang
LDLin Ding
Lin Ding
JXJunfeng Xu
Junfeng Xu

5 August 2022 in Foods
Verified
Journal Article
Open access
PDF file
HXHaoyi Xu
Haoyi Xu
HLHangzhen Lan
Hangzhen Lan
DPDaodong Pan
Daodong Pan
Junfeng XuJunfeng Xu
Junfeng Xu
XWXiaofu Wang
Xiaofu Wang
The aim of this study was to develop an accurate, easy-to-use, and cost-effective method for the detection of chicken adulteration based on polymerase chain reaction (PCR) and lateral flow strip (LFS). We compared six DNA extraction methods, namely the cetyltrimethylammonium bromide (CTAB) method, salt method, urea method, SDS method, guanidine isothiocyanate method, and commercial kit method. The chicken cytb gene was used as a target to design specific primers. The specificity and sensitivity of the PCR-LFS system were tested using a self-assembled lateral flow measurement sensor. The results showed that the DNA concentration obtained by salt methods is up to 533 ± 84 ng µL−1, is a suitable replacement for commercial kits. The PCR-LFS method exhibits high specificity at an annealing temperature of 62 °C and does not cross-react with other animal sources. This strategy is also highly sensitive, being able to detect 0.1% of chicken in artificial adulterated meat. The results of the test strips can be observed with the naked eye within 5 min, and this result is consistent with the electrophoresis result, demonstrating its high accuracy. Moreover, the detection system has already been successfully used to detect chicken in commercial samples. Hence, this PCR-LFS strategy provides a potential tool to verify the authenticity of chicken.

26 June 2022 in Foods
Verified
Journal Article
Open access
PDF file
CXChen xiaoyun
Chen xiaoyun
HYHuiru Yu
Huiru Yu
YJYi Ji
Yi Ji
WWWei Wei
Wei Wei
Peng ChengPeng Cheng
Peng Cheng
Junfeng XuJunfeng Xu
Junfeng Xu
To make meat adulteration detection systems faster, simpler and more efficient, we established a duck-derived meat rapid detection Recombinase Polymerase Amplification (dRPA) method by using interleukin 2 (IL-2) from nuclear genomic DNA as the target gene to design specific primers. We tested the dRPA detection system by comparing its sensitivity and specificity using real-time fluorescent PCR technology. By adjusting the ratio of reagents, this method shortens the time of DNA extraction and visualizes results in combination with colloidal gold immunoassay strips. Our results demonstrate that this dRPA method could specifically detect duck-derived components with a sensitivity of up to 23 copies/μL and the accuracy of the results is consistent with real-time fluorescent PCR. Additionally, dRPA can detect at least 1% of the duck meat content by mixing beef and mutton with duck meat in different proportions, which was verified by spot-check market samples. These results can be visualized with colloidal gold immunoassay strips with the same accuracy as real-time fluorescent RPA. dRPA can complete detection within 30 min, which shortens existing detection time and quickly visualizes the detection results on-site. This lays the groundwork for future large-scale standardized duck origin detection.