Quantitative analysis of thyroid-stimulating hormone (TSH) using SERS-based lateral flow immunoassay
Autor: | Dong Woo Lim, Jaebum Choo, Sangyeop Lee, Hoodon Joo, Suji Choi, Joonki Hwang |
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Rok vydání: | 2017 |
Předmět: |
endocrine system
endocrine system diseases Analytical chemistry 02 engineering and technology 01 natural sciences symbols.namesake Thyroid-stimulating hormone Peak intensity Materials Chemistry Electrical and Electronic Engineering Instrumentation Detection limit Chromatography Chemistry 010401 analytical chemistry Metals and Alloys 021001 nanoscience & nanotechnology Condensed Matter Physics 0104 chemical sciences Surfaces Coatings and Films Electronic Optical and Magnetic Materials Colloidal gold symbols Naked eye 0210 nano-technology Raman spectroscopy Quantitative analysis (chemistry) hormones hormone substitutes and hormone antagonists Lateral flow immunoassay |
Zdroj: | Sensors and Actuators B: Chemical. 240:358-364 |
ISSN: | 0925-4005 |
Popis: | We report the development of a surface-enhanced Raman scattering (SERS)-based lateral flow immunoassay (LFIA) sensor for the highly sensitive detection of thyroid-stimulating hormone (TSH) in clinical fluids. Here, Raman reporter-labeled gold nanoparticles (AuNPs) were used as SERS nano tags. Using this SERS-based LFIA test strip, the presence of TSH could be identified through a color change in the test line. In addition, quantitative evaluation of TSH was possible by monitoring the characteristic Raman peak intensity of SERS nano tags. The limit of detection (LOD) was estimated to be 0.025 μIU/mL, which is approximately two orders of magnitude more sensitive than that achieved from the conventional colorimetric LFIA sensor based on the naked eye. Consequently, it is possible to diagnose hyperthyroidism as well as hypothyroidism since a TSH concentration lower than 0.5 μIU/mL can be detected using this SERS-based LFIA detection technique. Therefore, this approach has strong potential feasibility for application in the early diagnosis of TSH hormone-related diseases. |
Databáze: | OpenAIRE |
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