期刊
ANALYTICAL CHEMISTRY
卷 93, 期 2, 页码 1025-1032出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.0c03921
关键词
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资金
- NSFC [21405083]
- NSF of the Jiangsu Province [BK20181383]
- China Scholarship Council (CSC) [201908000025]
This study presents a novel plasmonic surface-enhanced Raman scattering (SERS) biosensor for quantitative analysis of hematin in erythrocytes without the need for separation from hemoglobin. The biosensor is simple, sensitive, and capable of detecting a wide linear range of hematin concentrations with a low detection limit. These characteristics make it a potential tool for clinical detection of hematin concentrations in human erythrocytes.
This work reports a plasmonic surface-enhanced Raman scattering (SERS) biosensor that allows for quantitative analysis of hematin in erythrocytes without the need of separating it from hemoglobin (Hb). The biosensor exploits the tunable localized surface plasmon resonance (LSPR) characteristics of multibranched gold nanoparticles (M-AuNPs) and the strong plasmon coupling between an Au thin film and a flexible substrate consisting of M-AuNPs embedded in polydimethylsiloxane (PDMS) (i.e., M-AuNP-embedded PDMS substrate). In the assay, the hematin (or hematin-containing erythrocyte hemolysate) was deposited on Au film surface and covered with M-AuNP-embedded PDMS. Strong SERS signals were generated under excitation at 785 nm; the signals were sensitive to hematin concentration but not to several common coexisting biological substances. The intensities of the SERS signal (at 1623 cm(-1)) displayed a wide linear range using hematin concentrations in a range of at least similar to 1.5 nM-1.1 mu M; the limit of detection (LOD) was similar to 0.03 +/- 0.01 nM at a signal/noise (S/N) of 3. This assay is simple and sensitive without tedious separation procedures, thereby saving time and enhancing efficiency. This biosensor can be used to determine hematin concentration in human erythrocyte cytosols giving concentrations of similar to 18.5 +/- 4.5 (by averaging eight samples) and 51.5 +/- 6.2 mu M (by averaging three samples) for healthy and sickle erythrocytes, respectively, making it a potential application in clinical detection.
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