Surface enhanced Raman scattering active substrate based on hydrogel microspheres for pretreatment-free detection of glucose in biological samples

被引:17
|
作者
Wang, Qin [1 ,2 ]
Sun, Dan [1 ]
Ma, Xiaofei [2 ]
Huang, Rongrong [2 ]
Xu, Jinqiu [2 ]
Xu, Xin [2 ,3 ]
Cai, Liangliang [2 ,3 ]
Xu, Lixing [1 ,4 ]
机构
[1] Nantong Univ, Sch Pharm, Jiangsu Key Lab Inflammat & Mol Drug Targets, Nantong 226001, Peoples R China
[2] Nantong Univ, Affiliated Hosp, Dept Pharm, Nantong 226001, Peoples R China
[3] 20 Xisi Rd, Nantong 226001, Jiangsu, Peoples R China
[4] 19 Qixiu Rd, Nantong 226001, Jiangsu, Peoples R China
关键词
Hydrogel microspheres; Microfluidic droplets; Surface enhanced Raman scattering; Silver nanoparticles; Glucose oxidase etching; Glucose detection; BIOSENSOR; ETIOLOGY; SENSOR; SILVER; ASSAY;
D O I
10.1016/j.talanta.2023.124657
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Determining glucose in biological samples is tedious and time-consuming due to sample pretreatment. The sample is usually pretreated to remove lipids, proteins, hemocytes and other sugars that interfere with glucose detection. A surface-enhanced Raman scattering (SERS) active substrate based on hydrogel microspheres has been developed to detect glucose in biological samples. Due to the specific catalytic action of glucose oxidase (GOX), the high selectivity of detection is guaranteed. The hydrogel substrate prepared by microfluidic droplets technology protects the silver nanoparticles from the surrounding environment and improves the stability and reproducibility of the assay. In addition, the hydrogel microspheres have size-adjustable pores that selectively allow small molecules to pass through. The pores block the entry of large molecules, such as impurities, enabling glucose detection through glucose oxidase etching without sample pretreatment. This hydrogel microsphereSERS platform is highly sensitive and enables reproducible detection of different glucose concentrations in biological samples. The use of SERS to detect glucose provides clinicians with new diagnostic methods for diabetes and a new application opportunity for SERS-based molecular detection techniques.
引用
收藏
页数:8
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