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Mengying Wang

Researcher at Jiangsu Normal University

Publications -  8
Citations -  303

Mengying Wang is an academic researcher from Jiangsu Normal University. The author has contributed to research in topics: DNA methylation & DNA. The author has an hindex of 7, co-authored 8 publications receiving 192 citations.

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Development of a paper-based, inexpensive, and disposable electrochemical sensing platform for nitrite detection

TL;DR: In this paper, a paper-based, inexpensive, disposable electrochemical sensing platform was developed for nitrite analysis based on a simple and efficient vacuum filtration system, taking advantage of the physicochemical properties of graphene nanosheets and gold nanoparticles.
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Aptamer-based photoelectrochemical biosensor for antibiotic detection using ferrocene modified DNA as both aptamer and electron donor

TL;DR: In this paper, a simple and selective PEC biosensor was fabricated using graphite-like carbon nitride (g-C3N4) nanosheets as photoactive material coupled with capture-release strategy.
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Signal-on electrochemical detection of DNA methylation based on the target-induced conformational change of a DNA probe and exonuclease III-assisted target recycling.

TL;DR: The present work realized the assay of methylated target DNA in serum samples with satisfactory results, illustrating the application performance of the system in complex sample matrix.
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Dual-Signal Readout of DNA Methylation Status Based on the Assembly of a Supersandwich Electrochemical Biosensor without Enzymatic Reaction

TL;DR: The proposed system was effectively used to assess methylated DNA in human blood serum samples, illuminating the possibility of the sensing platform for applications in disease diagnosis and biochemistry research.
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Construction of a Cytosine-Adjusted Electrochemiluminescence Resonance Energy Transfer System for MicroRNA Detection.

TL;DR: The proposed sensor showed excellent performance in detecting miRNA-21 at a wide linear range from 1 fM to 100 pM, suggesting that the detection platform is a promising approach for disease diagnosis and molecular biology research.