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  Highly sensitive biosensors for biomarker detection


   Pure and Applied Chemistry

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  Dr Ying Fu, Prof Damion Corrigan  Applications accepted all year round  Funded PhD Project (UK Students Only)

About the Project

Biomarkers have been widely used in clinical trials for the baseline risk assessment and diagnosis of diseases. Their expression level has been closely related to the disease progression. Electrochemical biosensors are one type of self-contained integrated device, which is capable of providing specific quantitative or semi-quantitative analytical information. They can provide convenient and cost-effective determination of disease biomarkers with high sensitivity and selectivity. Many electrochemical biosensors have been developed for biomarker analysis in complex bio-environments like living cells and serum. The objective for this PhD project is to develop a novel biosensor for highly sensitive and selective detection of biomarkers, with the potential application in clinical settings. The student will develop chem-bio interface for electrochemical biosensor development, and also explore new amplification strategy for improve the biomarker detection performance.

 The student will be based in the Department of Pure and Applied Chemistry at University of Strathclyde. A well-balanced supervisory team is in place to support the successful candidate in developing all the skills necessary to tackle the innovative research question.  The student will obtain in-depth theoretical knowledge and particle skills in electrochemistry, and technology in biosensor development and analytical chemistry, cell culture skills and the understanding of device physics.

 The successful candidate must have (or expect to obtain) a 1st or strong 2:1 degree in Chemistry, Chemical engineering, Physics, Biomedical engineering and/or a broad range of relevant backgrounds at University level. A master’s degree in nanotechnology, biosensing technology, or analytical chemistry is desirable. Candidates with a keen interest in biosensing technology are encouraged to apply.


Chemistry (6) Engineering (12)

References

1, Fu, Ying, et al. "Highly sensitive detection of protein biomarkers with organic electrochemical transistors" Advanced Materials 29 (2019), 1703787.
2, Fu, Ying, et al. "Facile impedimetric analysis of neuronal exosome markers in Parkinson’s disease diagnostics." Analytical chemistry 92.20 (2020): 13647-13651.
3, Fu, Ying, et al. "Ultrasensitive detection of ribonucleic acid biomarkers using portable sensing platforms based on organic electrochemical transistors." Analytical chemistry 93 (2021), 14359-14364.

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 About the Project