New Quantum-Dot-Based Fluorescent Immunosensor for Cancer Biomarker Detection

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Sousa, MP (Author) Other; Piloto, AML (Author) Other; Pereira, AC (Author) Other; Fernando Schmitt (Author) FMUP; Fernandes, R (Author) Other; Moreira, FTC (Author) Other

Journal

The Journal is awaiting validation by the Administrative Services.

Title: Chemosensors

Vol. 10

Final page: 518

ISSN: 2227-9040

Indexing

ISI Web of Knowledge - 3 Citations

Scopus

Other information

Authenticus ID: P-00X-Q0S

DOI: 10.3390/chemosensors10120518

Abstract (EN): Cancer antigen 15-3 (CA 15-3) is a biomarker for breast cancer used to monitor response to treatments and disease recurrence. The present work demonstrates the preparation and application of a fluorescent biosensor for ultrasensitive detection of the cancer antigen CA 15-3 protein tumor marker using mercaptopropionic-acid-functionalized cadmium telluride (CdTe@MPA) quantum dots (QDs) conjugated with CA 15-3 antibodies. First, the QDs were synthesized by the hydrothermal route, resulting in spherical nanoparticles up to 3.50 nm in diameter. Subsequently, the QD conjugates were characterized by Fourier transform infrared spectroscopy (FTIR), UV absorption, and fluorescence. The interaction between the conjugates and the protein was studied by fluorescence spectroscopy in buffer and in 10-fold diluted commercial human serum. Calibration in spiked serum samples gave a detection limit of 0.027 U/mL, 1000-fold lower than the clinical limit for CA 15-3 (25 U/mL to 30 U/mL), indicating that this is an ultrasensitive technique. In addition, a rapid response was obtained within 10 min. The biosensor was selective in the presence of the interfering serum proteins BSA, CEA, and CA-125, with a maximum interference of 2% for BSA. The percent recovery was close to 100% with maximum relative standard deviation (RSD%) values of 1.56. Overall, the developed CA 15-3 biosensor provides a simple and sensitive method for ultrasensitive monitoring of breast cancer, as well as the ability to detect other molecules of interest in human serum matrices. © 2022 by the authors.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13