期刊
BIOSENSORS & BIOELECTRONICS
卷 213, 期 -, 页码 -出版社
ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2022.114488
关键词
Gestational diabetes mellitus; Adiponectin; SEAS immunoassay; Gold nanotriangle; Self-assembly immobilization; Finite element computation
类别
资金
- National Research Foundation of Korea [2019R1A2C2089239, 2021R1I1A1A01044700, 2022R1A2C2013011]
- Catholic University of Korea Uijeongbu St. Mary's Hospital Clinical Research Laboratory Foundation [UJBCRL201905, UJBCRL202103]
- National Research Foundation of Korea [2022R1A2C2013011, 2021R1I1A1A01044700, 2019R1A2C2089239] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
The study demonstrates the successful use of an SERS immunoassay platform based on gold nanotriangles for detecting adiponectin levels in the biofluids of pregnant women, showing a wide assay range, high reliability, and excellent selectivity.
The anisotropic gold nanotriangles (AuNTs) were synthesized by a fast seedless growth process. The high-yield monodispersed AuNT colloids were obtained through a purification process based on depletion-induced interactions. AuNTs were modulated with a localized surface plasmon resonance (LSPR) peak of 638 nm wavelength coherent with the Raman excitation light. However, from finite element computation results, the AuNT clusters showed better performance for the 785 nm laser source due to a red shift in their LSPR properties, hence it was selected for the surface-enhanced Raman scattering (SERS) immunoassay. A self-assembly strategy using a thiol group and ON-OFF strategy in the heat map was performed to ensure the stability of SERS immunoassay platform. The sandwich SERS immunoassay biosensor platform for adiponectin detection demonstrated a wide assay range (10(-15)-10(-6) g/mL), good reliability (R-2 = 0.994, clinically relevant range), femto-scale limit of detection (3.0 x 10(-16) g/mL), and excellent selectivity without interference from other biomarkers. This showed the possibility of effectively detecting adiponectin levels in the biofluids of pregnant women. Therefore, our technology is the first to quantitatively detect adiponectin based on SERS technology for early detection of gestational diabetes mellitus and has the potential to be used as a clinical biosensor capable of diagnosing various obstetric diseases during early pregnancy.
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