收缩率
分析物
材料科学
拉曼散射
纳米技术
再现性
孔雀绿
拉曼光谱
微流控
复矩阵
化学
可靠性(半导体)
跟踪(心理语言学)
检出限
灵敏度(控制系统)
微技术
多孔性
自愈水凝胶
海水
盐(化学)
作者
Xiaotong Su,Ke Liu,Zhiyang Zhang,Qirui Shen,Feng Yu,Yuehua Chen,Yifan Sui,Jiadong Chen,Rensen Liu,Haoyuan Zhou,Yanzhou Wu,Jaebum Choo,Lingxin Chen
出处
期刊:Nano Letters
[American Chemical Society]
日期:2026-04-21
卷期号:26 (17): 5757-5765
标识
DOI:10.1021/acs.nanolett.6c00376
摘要
Reliable trace detection in complex matrixes (e.g., seawater, biofluids) is challenging for conventional surface-enhanced Raman scattering (SERS) platforms due to salt-induced aggregation, protein adsorption, and coffee-ring effects. We present a robust SERS platform using evaporative shrinkage of a silver-nanoparticle (AgNP)-loaded hydrogel millibead (Ag@Gel-MB). The hydrogel millibead selectively enriches analytes while excluding proteins, and its subsequent shrinkage coconcentrates analytes and AgNPs into ultrasmall volumes to form dense hotspots, while the 3D network prevents salt-induced aggregation. Using Nile Blue, we achieved high sensitivity (LOD < 10 –10 M), excellent uniformity (RSD ∼ 4.36%), and batch reproducibility (RSD ∼ 4.39%). Unlike droplet methods needing superhydrophobic surfaces, our platform avoids the coffee-ring effect on any support and achieves 15-fold and 100-fold improvements in salt and protein tolerance (150 mM NaCl, 100 μg/mL BSA) over conventional methods. It successfully detected malachite green in seawater and fish serum, demonstrating its practical reliability for the analysis of complex samples.
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