journal article·2018-05-09

Quantitative SERS Detection of Dopamine in Cerebrospinal Fluid by Dual-Recognition-Induced Hot Spot Generation

Kun Zhang, Yu Liu, Yuning Wang, Ren Zhang, Jiangang Liu, Jia Wei, Hufei Qian, Kun Qian, Ruoping Chen, Baohong Liu

ACS Applied Materials & Interfaces· Volume 10· Issue 18
Publisher page

Abstract

Reliable profiling of the extracellular dopamine (DA) concentration in the central nervous system is essential for a deep understanding of its biological and pathological functions. However, quantitative determination of this neurotransmitter remains a challenge because of the extremely low concentration of DA in the cerebrospinal fluid (CSF) of patients. Herein, on the basis of the specific recognition of boronate toward diol and N-hydroxysuccinimide ester toward the amine group, a simple and highly sensitive strategy was presented for DA detection by using surface-enhanced Raman scattering (SERS) spectroscopy as a signal readout. This was realized by first immobilizing 3,3'-dithiodipropionic acid di( N-hydroxysuccinimide ester) on gold thin film surfaces to capture DA, followed by introducing 3-mercaptophenylboronic acid (3-MPBA)-functionalized silver nanoparticles to generate numerous plasmonic "hot spots" with the nanoparticle-on-mirror geometry. Such a dual-recognition mechanism not only avoids complicated bioelement-based manipulations but also efficiently decreases the background signal. With the direct use of the recognition probe 3-MPBA as a Raman reporter, the "signal-on" SERS method was employed to quantify the concentration of DA from 1 pM to 1 μM with a detection limit of 0.3 pM. Moreover, our dual-recognition-directed SERS assay exhibited a high resistance to cerebral interference and was successfully applied to monitoring of DA in CSF samples of patients.
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Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Spectroscopy Techniques in Biomedical and Chemical Research · Photoreceptor and optogenetics research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Shanghai Children’s Hospital, Shanghai Jiao Tong University, Shanghai 200062, China

Department of Chemistry, Institutes of Biomedical Sciences, State Key Lab of Molecular Engineering of Polymers and Collaborative Innovation Center of Chemistry for Energy Materials, Fudan University, Shanghai 200433, China

School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai 200030, China

Funding

Shanghai Jiao Tong University · National Natural Science Foundation of China · Children?s Hospital of Shanghai, Shanghai Jiao Tong University

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