A separation‐sensing platform performing accurate diagnosis of jaundice in complex biological tear fluids

W Zhao, J Li, Z Xue, X Qiao, A Li, X Chen… - Angewandte …, 2022 - Wiley Online Library
W Zhao, J Li, Z Xue, X Qiao, A Li, X Chen, Y Feng, Z Yang, T Wang
Angewandte Chemie, 2022Wiley Online Library
The detection of biomarkers in tears has aroused great interest owing to the advantages of
non‐invasive and rapid collection. The combination of ultrasensitivity and label‐free
detection of surface‐enhanced Raman spectroscopy (SERS) sensors is expected to achieve
real‐time diagnosis in home medical care. However, the surface of SERS sensors is
susceptible to biofouling and inactivation by biological impurities in tears, resulting in rapid
degradation of sensitivity, limiting the commercialization of point‐of‐care devices. Herein, a …
Abstract
The detection of biomarkers in tears has aroused great interest owing to the advantages of non‐invasive and rapid collection. The combination of ultrasensitivity and label‐free detection of surface‐enhanced Raman spectroscopy (SERS) sensors is expected to achieve real‐time diagnosis in home medical care. However, the surface of SERS sensors is susceptible to biofouling and inactivation by biological impurities in tears, resulting in rapid degradation of sensitivity, limiting the commercialization of point‐of‐care devices. Herein, a binary nanosphere array with dual properties is constructed as a separation‐sensing platform for the diagnosis of target molecules in tears. The upper part of the structure is composed of Au nanoparticles (AuNPs) and a sputtering Au layer, which can bind the target molecules that interact with Au and provide high‐strength and high‐density SERS hotspots. The lower half is an inactive SiO2 nanosphere array with periodic large pores that allows biological impurities to penetrate the lower part and be separated from the target analyte. Furthermore, this substrate was integrated into homemade tear kits, enabling simultaneous tear collection, pre‐separation, and detection. Combined with the Raman spectra of tears and LDA analysis, we successfully identified patients with jaundice in clinics. This platform is expected to provide an opportunity for early disease screening based on biological fluids.
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