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Xiong Ding
Researcher at University of Connecticut Health Center
Publications - 45
Citations - 1636
Xiong Ding is an academic researcher from University of Connecticut Health Center. The author has contributed to research in topics: Loop-mediated isothermal amplification & Reverse Transcription Loop-mediated Isothermal Amplification. The author has an hindex of 16, co-authored 43 publications receiving 764 citations. Previous affiliations of Xiong Ding include Iowa State University & Zhejiang University.
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Journal ArticleDOI
Ultrasensitive and visual detection of SARS-CoV-2 using all-in-one dual CRISPR-Cas12a assay.
Xiong Ding,Kun Yin,Ziyue Li,Rajesh V. Lalla,Enrique Ballesteros,Maroun M. Sfeir,Changchun Liu +6 more
TL;DR: The AIOD-CRISPR method has the significant potential to provide a rapid, sensitive, one-pot point-of-care assay for SARS-CoV-2.
Posted ContentDOI
All-in-One Dual CRISPR-Cas12a (AIOD-CRISPR) Assay: A Case for Rapid, Ultrasensitive and Visual Detection of Novel Coronavirus SARS-CoV-2 and HIV virus
TL;DR: The AIOD-CRISPR assay system was successfully utilized to detect nucleic acids (DNA and RNA) of SARS-CoV-2 and HIV with a sensitivity of few copies and has a great potential for developing next-generation point-of-care molecular diagnostics.
Journal ArticleDOI
Smartphone-based mobile digital PCR device for DNA quantitative analysis with high accuracy.
TL;DR: This work has developed a smartphone-based mobile dPCR device integrated with thermal cycling control, on-chip d PCR, data acquisition, and result analysis, capable of detecting single molecule of cancer biomarker gene CD147 in a low number of HepG2 cells.
Journal ArticleDOI
Dynamic Aqueous Multiphase Reaction System for One-Pot CRISPR-Cas12a-Based Ultrasensitive and Quantitative Molecular Diagnosis.
TL;DR: A dynamic aqueous multiphase reaction (DAMR) system for simple, sensitive and quantitative one-pot CRISPR-Cas12a based molecular diagnosis by taking advantage of density difference of sucrose concentration is reported.
Journal ArticleDOI
Interfacing Pathogen Detection with Smartphones for Point-of-Care Applications
TL;DR: There is a pressing need for simple, affordable, and easy-to-use diagnostic tools for the specific detection of pathogens at the point of care, e.g., doctors' offices, clinics, infirmaries, and particularly in resource-limited areas where medical infrastructure is lacking.