Publications by authors named "Ragi Adham Elkaffas"
SLFN11 is a predictive cancer biomarker essential for identifying tumors that are sensitive to DNA-damaging agents, facilitating more personalized and effective treatment approaches. Detecting this biomarker can guide therapeutic decisions and improve outcomes for cancer patients. However, existing detection methods for SLFN11 are complex and require advanced techniques.
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- The study presents a novel GO/Cu-MOF nanocomposite for simultaneous detection of biomarkers linked to lower respiratory infections, marking a new application in electrochemical biosensing.
- The researchers fabricated an immunosensor using this composite that effectively detected M. pneumoniae and L. pneumophila antigens, showing strong selectivity and sensitivity across a wide concentration range.
- The enhanced performance is attributed to the superior electrocatalytic properties and interactions of the GO-MOF composite, making it a promising tool for rapid pathogen monitoring in environmental samples.