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20 February 2018 Development of a paper-based vertical flow SERS assay for citrulline detection using aptamer-conjugated gold nanoparticles
Andrea Locke, Nicolaas Deutz, Gerard Coté
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Research toward development of point-of-care (POC) technologies is emerging as a means for diagnosis and monitoring of patients outside the hospital. These POC devices typically utilize assays capable of detecting low level biomarkers indicative of specific diseases. L-citrulline, an α-amino acid produced in the intestinal mucosa cells, is one such biomarker typically found circulating within the plasma at physiological concentrations of ~40 μM. Researchers have found that intestinal enterocyte malfunction causes its level to be significantly lowered, establishing it as a potential diagnostic biomarker for gut function. Our research group has proposed the development of a surface enhanced Raman spectroscopy (SERS) based assay, using vertical flow paper fluidics, for citrulline detection. The assay consists of a fluorescently active, Raman reporter labeled aptamer conjugated on gold nanoparticles. The aptamer changes its confirmation on binding to its target, which in turn changes the distance between the Raman active molecule and the nanoparticle surface. These particles were embedded within a portable chip consisting of cellulose-based paper. After the chips were loaded with different concentrations of free L-citrulline in phosphate buffer, time was given for the assay to interact with the sample. A handheld Raman spectrometer (638 nm; Ocean Optics) was used to measure the SERS intensity. Results showed decrease in intensity with increasing concentration of L-citrulline (0-50μM).
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Andrea Locke, Nicolaas Deutz, and Gerard Coté "Development of a paper-based vertical flow SERS assay for citrulline detection using aptamer-conjugated gold nanoparticles", Proc. SPIE 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, 1050105 (20 February 2018);

Cited by 2 scholarly publications.
Surface enhanced Raman spectroscopy



Raman spectroscopy


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