Silver-Coated Disordered Silicon Nanowires Provide Highly Sensitive Label-Free Glycated Albumin Detection through Molecular Trapping and Plasmonic Hotspot Formation

被引:27
作者
Paria, Debadrita [1 ]
Convertino, Annalisa [2 ]
Mussi, Valentina [2 ]
Maiolo, Luca [2 ]
Barman, Ishan [1 ,3 ,4 ]
机构
[1] Johns Hopkins Univ, Dept Mech Engn, Baltimore, MD 21218 USA
[2] CNR, Inst Microelettron & I Microsistemi, I-00133 Rome, Italy
[3] Johns Hopkins Univ, Sch Med, Dept Oncol, Baltimore, MD 21218 USA
[4] Johns Hopkins Univ, Sch Med, Dept Radiol & Radiol Sci, Baltimore, MD 21218 USA
关键词
biosensing; diabetes screening; glycated albumin; machine learning; nanowires; plasmonics; surface enhanced Raman spectroscopy (SERS); RAMAN-SPECTROSCOPY; HEMODIALYSIS-PATIENTS; SURFACE; HEMOGLOBIN; NANOPARTICLES; FRUCTOSAMINE; GLUCOSE; ARRAYS; SENSORS; NANOROD;
D O I
10.1002/adhm.202001110
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Glycated albumin (GA) is rapidly emerging as a robust biomarker for screening and monitoring of diabetes. To facilitate its rapid, point-of-care measurements, a label-free surface-enhanced Raman spectroscopy (SERS) sensing platform is reported that leverages the specificity of molecular vibrations and signal amplification on silver-coated silicon nanowires (Ag/SiNWs) for highly sensitive and reproducible quantification of GA. The simulations and experimental measurements demonstrate that the disordered orientation of the nanowires coupled with the wicking of the analyte molecules during the process of solvent evaporation facilitates molecular trapping at the generated plasmonic hotspots. Highly sensitive detection of glycated albumin is shown with the ability to visually detect spectral features at as low as 500 x 10(-9) m, significantly below the physiological range of GA in body fluids. Combined with chemometric regression models, the spectral data recorded on the Ag/SiNWs also allow accurate prediction of glycated concentration in mixtures of glycated and non-glycated albumin in proportions that reflect those in the bloodstream.
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页数:8
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