Year: 2025
Type: article
Abstract: In order to improve treatment outcomes and lower healthcare costs, early disease detection is essential. However, traditional diagnostic techniques frequently lack the sensitivity, speed, and multiplexing capabilities needed for prompt intervention. By creating a hybrid nanodiagnostic platform that combines the magnetic capabilities of superparamagnetic iron oxide nanoparticles (SPIONs) with the fluorescent qualities of quantum dots (QDs), this work overcomes these constraints. To target clinically significant protein and nucleic acid biomarkers, such as prostate-specific antigen (PSA), alpha-fetoprotein (AFP), HER2/neu, KRAS mutations, and miRNA-21, cadmium selenide/zinc sulfide (CdSe/ZnS) QDs and functionalized SPIONs were created and conjugated.By combining magnetic prosperity and fluorescence-based quantification, the platform allowed dual-mode detection, resulting in remarkably high sensitivity, with detection limits as low as 5 pM for proteins and 10 copies per reaction for nucleic acids. High specificity, low nonspecific binding, and effective biomarker localization were shown during validation using ex vivo human tissue samples and in vitro cell lines (MCF-7, HeLa, HepG2, LNCaP). Superior performance over conventional techniques such as PCR and ELISA was found through comparative analysis; these techniques offered improved signal-to-noise ratios, multiplexing capabilities, and faster results (less than two hours). TEM, HR-TEM, UV-Vis, FTIR, and XRD characterization methods confirmed the nanoparticles' successful functionalization, structural integrity, and crystallinity. The platform's potential as a flexible, quick, and sensitive diagnostic tool for early disease detection is highlighted in this study, opening the door for enhanced clinical results.
DOI: 10.62019/bmgw9991
Authors: Alfa Zanib Malik, Maloof Fatima Malik, Qurat-ul-Ain, Amna Abrar, Ali Asgher Shuja, Muhammad Salman Khalid, Dr. Zara Khalid Khan, Usman Asghar, Syed Farhan Ali Shah
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411314595