Yonghua Xiong

Dr. Yonghua Xiong

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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23 March 2018 in Chemical Society Reviews
Verified
Journal Article
Closed access
PDF file
XHXiaolin Huang
Xiaolin Huang
JSJibin Song
Jibin Song
BYBryant C. Yung
Bryant C. Yung
Xiaohua HuangXiaohua Huang
Xiaohua Huang
Yonghua XiongYonghua Xiong
Yonghua Xiong
XCXiaoyuan Chen
Xiaoyuan Chen
Exploring and understanding biological and pathological changes are of great significance for early diagnosis and therapy of diseases. Optical sensing and imaging approaches have experienced major progress in this field. Particularly, an emergence of various functional optical nanoprobes has provided enhanced sensitivity, specificity, targeting ability, as well as multiplexing and multimodal capabilities due to improvements in their intrinsic physicochemical and optical properties. However, one of the biggest challenges of conventional optical nanoprobes is their absolute intensity-dependent signal readout, which causes inaccurate sensing and imaging results due to the presence of various analyte-independent factors that can cause fluctuations in their absolute signal intensity. Ratiometric measurements provide built-in self-calibration for signal correction, enabling more sensitive and reliable detection. Optimizing nanoprobe designs with ratiometric strategies can surmount many of the limitations encountered by traditional optical nanoprobes. This review first elaborates upon existing optical nanoprobes that exploit ratiometric measurements for improved sensing and imaging, including fluorescence, surface enhanced Raman scattering (SERS), and photoacoustic nanoprobes. Next, a thorough discussion is provided on design strategies for these nanoprobes, and their potential biomedical applications for targeting specific biomolecule populations (e.g. cancer biomarkers and small molecules with physiological relevance), for imaging the tumor microenvironment (e.g. pH, reactive oxygen species, hypoxia, enzyme and metal ions), as well as for intraoperative image guidance of tumor-resection procedures.

4 December 2019 in Journal of the American Chemical Society
Verified
Journal Article
Closed access
YXYing Xiong
Ying Xiong
JingJing ZhangJingJing Zhang
JingJing Zhang
ZYZhenglin Yang
Zhenglin Yang
QMQuanbing Mou
Quanbing Mou
YMYuan Ma
Yuan Ma
YLYi Lu
Yi Lu

1 January 2016 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
XHXiaolin Huang
Xiaolin Huang
ZAZoraida P. Aguilar
Zoraida P. Aguilar
Hengyi XuHengyi Xu
Hengyi Xu
WLWeihua Lai
Weihua Lai
Yonghua XiongYonghua Xiong
Yonghua Xiong

14 June 2017 in ACS Nano
Verified
Journal Article
Closed access
XHXiaolin Huang
Xiaolin Huang
YLYijing Liu
Yijing Liu
BYBryant Yung
Bryant Yung
Yonghua XiongYonghua Xiong
Yonghua Xiong
XCXiaoyuan Chen
Xiaoyuan Chen

9 February 2022 in ACS Nano
Verified
Journal Article
Closed access
RCRui Chen
Rui Chen
XCXirui Chen
Xirui Chen
YZYaofeng Zhou
Yaofeng Zhou
TLTong Lin
Tong Lin
YLYuankui Leng
Yuankui Leng
Yonghua XiongYonghua Xiong
Yonghua Xiong

9 August 2014 in ACS Applied Materials & Interfaces
Verified
Journal Article
Open access
MRMeiling Ren
Meiling Ren
Hengyi XuHengyi Xu
Hengyi Xu
XHXiaolin Huang
Xiaolin Huang
MKMin Kuang
Min Kuang
Yonghua XiongYonghua Xiong
Yonghua Xiong
AWAndrew Wang
Andrew Wang
Highly luminescent quantum dot beads (QBs) were synthesized by encapsulating CdSe/ZnS and used for the first time as immunochromatographic assay (ICA) signal amplification probe for ultrasensitive detection of aflatoxin B1 (AFB1) in maize. The challenges to using high brightness QBs as probes for ICA are smooth flow of QBs and nonspecific binding on nitrocellulose (NC) membrane, which are overcome by unique polymer encapsulation of quantum dots (QDs) and surface blocking method. Under optimal conditions, the QB-based ICA (QB-ICA) sensor exhibited dynamic linear detection of AFB1 in maize extract from 5 to 60 pg mL–1, with a median inhibitory concentration (IC50) of 13.87 ± 0.16 pg mL–1, that is significantly (39-fold) lower than those of the QD as a signal probe (IC50 = 0.54 ± 0.06 ng mL–1). The limit of detection (LOD) for AFB1 using QB-ICA sensor was 0.42 pg mL–1 in maize extract, which is approximately 2 orders of magnitude better than those of previously reported gold nanoparticle based immunochromatographic assay (AuNP-ICA) and is even comparable with or better than the conventional enzyme-linked immunosorbent assay (ELISA) method. The performance and practicability of our QB-ICA sensor were validated with a commercial ELISA kit and further confirmed with liquid chromatography tandem mass spectrometry (LC–MS/MS). Given its efficient signal amplification performance, the proposed QB-ICA offers great potential for rapid, sensitive, and cost-effective quantitative detection of analytes in food safety monitoring.