MESIA: Magnetic force-assisted electrochemical sandwich immunoassays for quantification of prostate-specific antigen in human serum
Autor: | Haegong Shin, Taehwa Choi, Jaesik Kim, Eunjong Choi, Jaekyu Choi, Yun Sung Lee, Seung-Mok Han, Mikyoung Kim, Hyundoo Hwang |
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Rok vydání: | 2019 |
Předmět: |
Analyte
Surface Properties Coefficient of variation 02 engineering and technology Electrochemistry 01 natural sciences Biochemistry Analytical Chemistry chemistry.chemical_compound Environmental Chemistry Humans Particle Size Magnetite Nanoparticles Spectroscopy Detection limit Immunoassay Reproducibility Chromatography Chemistry 010401 analytical chemistry Electrochemical Techniques Prostate-Specific Antigen 021001 nanoscience & nanotechnology 0104 chemical sciences Magnetic field Prostate-specific antigen Magnetic Fields Gold 0210 nano-technology Iron oxide nanoparticles |
Zdroj: | Analytica chimica acta. 1061 |
ISSN: | 1873-4324 |
Popis: | We propose a new immunoassay technique, called magnetic-force assisted electrochemical sandwich immunoassay (MESIA), where serum biomarkers can be determined by magnetic actuation and electrochemical detection of gold-coated iron oxide nanoparticles as probes for immunocomplex formation. In MESIA, neither washing buffer nor fluidic parts are necessary, because the formation of immunocomplexes and the removal of unbound probes are controlled by magnetic forces. Electrochemical pretreatment and measurement of the gold-coated magnetic probes allows highly sensitive, precise, and robust system for quantification of target analytes. Using MESIA, the concentration of prostate-specific antigen (PSA) in 10 μl of human serum is determined within 5 min. The limit of detection is 0.085 ng/mL, and the average coefficient of variance is 8.85% for five different PSA concentrations ranging from 0 to 25 ng/mL. This method shows good precision and reproducibility (10%) and high correlation with cobas e 801 (r = 0.997) for clinical patient samples. We believe this technique to be useful in the development of a point-of-care testing platform for diagnosis and prognosis of various diseases, such as cancer, based on quantification of biomarkers in a drop of blood. |
Databáze: | OpenAIRE |
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