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Dive into the research topics where Namhyun Choi is active.

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Featured researches published by Namhyun Choi.


Biosensors and Bioelectronics | 2013

Highly sensitive detection of thrombin using SERS-based magnetic aptasensors.

Jiyeon Yoon; Namhyun Choi; Juhui Ko; Kihyung Kim; Sangyeop Lee; Jaebum Choo

This paper reports a method of highly sensitive detection of thrombin using a surface-enhanced Raman scattering (SERS)-based magnetic aptasensor. Magnetic beads and gold nanoparticles (Au NPs) were used as supporting substrates and sensing probes, respectively. For this purpose, 15-mer thrombin-binding aptamers (TBA15) were immobilized onto the surface of magnetic beads, and then thrombin antigens and 29-mer thrombin-binding aptamer (TBA29)-conjugated Au NPs were sequentially added for the formation of sandwich aptamer complexes. Quantitative analysis was performed by monitoring the intensity variation of a characteristic SERS signal of Raman reporter molecules. Because all of the reactions occur in solution, this SERS-based immunoassay technique can solve the diffusion-limited kinetic problems on a solid substrate. The limit of detection (LOD) of thrombin, determined by the SERS-based aptasensor, was estimated to be 0.27pM. The proposed method is expected to be a good clinical tool for the diagnosis of a thrombotic disease.


Analytica Chimica Acta | 2010

Highly sensitive trace analysis of paraquat using a surface-enhanced Raman scattering microdroplet sensor

Rongke Gao; Namhyun Choi; Soo-Ik Chang; Seong Ho Kang; Joon Myong Song; Seong In Cho; Dong Woo Lim; Jaebum Choo

We report a rapid and highly sensitive trace analysis of paraquat (PQ) in water using a surface-enhanced Raman scattering (SERS)-based microdroplet sensor. Aqueous samples of PQ, silver nanoparticles, and NaCl as the aggregation agent were introduced into a microfluidic channel and were encapsulated by a continuous oil phase to form a microdroplet. PQ molecules were adsorbed onto particle surfaces in isolated droplets by passing through the winding part of the channel. Memory effects, caused by the precipitation of nanoparticle aggregates on channel walls, were removed because the aqueous droplets were completely isolated by a continuous oil phase. The limit of detection (LOD) of PQ in water, determined by the SERS-based microdroplet sensor, was estimated to be below 2×10(-9) M, and this low detection limit was enhanced by one to two orders of magnitude compared to conventional analytical methods.


Langmuir | 2011

Preparation of silica-encapsulated hollow gold nanosphere tags using layer-by-layer method for multiplex surface-enhanced raman scattering detection.

Jianshe Huang; Ki Hyung Kim; Namhyun Choi; Hyangah Chon; Sangyeop Lee; Jaebum Choo

The use of silica shells offers many advantages in surface-enhanced Raman scattering (SERS)-based biological sensing applications due to their optical transparency, remarkable stability in environmental media, and improved biocompatibility. Here, we report a novel layer-by-layer method for the preparation of silica-hollow gold nanosphere (HGN) SERS tags. Poly(acrylic acid) was used to stabilize Raman reporter-tagged HGNs prior to the adsorption of a coupling agent, after which a silica shell was deposited onto the particle surface using Stöbers method. Importantly, competitive adsorption of the Raman reporter molecules and coupling agents, which results in unbalanced loading of reporter molecules on individual nanoparticles, was avoided using this method. As a result, the loading density of reporter molecules could be maximized. In addition, HGNs exhibited strong enhancement effects from the individual particles because of their ability to localize the surface electromagnetic fields through pinholes in the hollow particle structures. The proposed layer-by-layer silica-encapsulated HGN tags showed strong SERS signals as well as excellent multiplexing capabilities.


ACS Nano | 2017

Simultaneous Detection of Dual Prostate Specific Antigens Using Surface-Enhanced Raman Scattering-Based Immunoassay for Accurate Diagnosis of Prostate Cancer

Ziyi Cheng; Namhyun Choi; Rui Wang; Sangyeop Lee; Kyung Chul Moon; Soo Young Yoon; Lingxin Chen; Jaebum Choo

Accurate analysis of specific biomarkers in clinical serum is essential for early diagnosis and treatment of cancer. Here, a surface-enhanced Raman scattering (SERS)-based immunoassay, using magnetic beads and SERS nano tags, was developed for the determination of free to total (f/t) prostate specific antigen (PSA) ratio to improve the diagnostic performance of prostate cancer. To assess the clinical applicability of the proposed method, SERS-based assays for the simultaneous detection of dual PSA markers, free PSA (f-PSA) and complexed PSA (c-PSA), were performed for clinical samples in the gray zone between 4.0 and 10.0 ng/mL. Our assay results for f/t PSA ratio showed a good linear correlation with those measured using the electrochemiluminescence (ECL) system installed in the clinical laboratory of the University Hospital. In addition, the simultaneous assay provided better precision than parallel assays for the detection of f-PSA and c-PSA in 13 clinical serum samples. Therefore, our SERS-based assay for simultaneous detection of dual PSA markers in clinical fluids has strong potential for application in the accurate diagnosis of prostate cancer.


Lab on a Chip | 2012

Simultaneous detection of duplex DNA oligonucleotides using a SERS-based micro-network gradient chip

Namhyun Choi; Kangsun Lee; Dong Woo Lim; Eun Kyu Lee; Soo-Ik Chang; Kwang W. Oh; Jaebum Choo

We report the development of a programmable surface-enhanced Raman scattering (SERS)-based micro-network gradient platform to simultaneously detect two different types of DNA oligomer mixtures. The utility of this platform was demonstrated by quantitative analysis of two breast cancer-related (BRCA1) DNA oligomer mixtures. To generate on-demand concentration gradients, the microfluidic circuit was designed using an electric-hydraulic analogy. Then a multi-gradient microfluidic channel was fabricated based on the theoretical design of the concentration control module. These micro-network structures automatically produce a series of different concentration gradients by continuously mixing Cy3-labeled DNA oligomers (BRAC1-Mutation) with TAMRA-labeled DNA oligomer (BRAC1-Wild). The SERS signals for different ratios of duplex DNA oligomer mixtures, adsorbed on the surface of silver nanoparticles, were measured under flowing conditions. Total analysis time from serial mixing to SERS detection takes less than 10 min because all experimental conditions are automatically controlled inside the exquisitely designed microfluidic channel. This novel SERS-based DNA sensing technology in a micro-network gradient channel is expected to be a powerful analytical tool to simultaneously detect multiple DNA oligomer mixtures.


Analytical Chemistry | 2017

Simultaneous Detection of Dual Nucleic Acids Using a SERS-Based Lateral Flow Assay Biosensor

Xiaokun Wang; Namhyun Choi; Ziyi Cheng; Juhui Ko; Lingxin Chen; Jaebum Choo

A new class of surface-enhanced Raman scattering (SERS)-based lateral flow assay (LFA) biosensor has been developed for the simultaneous detection of dual DNA markers. The LFA strip in this sensor was composed of two test lines and one control line. SERS nano tags labeled with detection DNA probes were used for quantitative evaluation of dual DNA markers with high sensitivity. Target DNA, associated with Kaposis sarcoma-associated herpesvirus (KSHV) and bacillary angiomatosis (BA), were tested to validate the detection capability of this SERS-based LFA strip. Characteristic peak intensities of SERS nano tags on two test lines were used for quantitative evaluations of KSHV and BA. The limits of detection for KSHV and BA, determined from our SERS-based LFA sensing platform, were estimated to be 0.043 and 0.074 pM, respectively. These values indicate approximately 10 000 times higher sensitivity than previously reported values using the aggregation-based colorimetric method. We believe that this is the first report of simultaneous detection of two different DNA mixtures using a SERS-based LFA platform. This novel detection technique is also a promising multiplex DNA sensing platform for early disease diagnosis.


Analytical Chemistry | 2017

Integrated SERS-Based Microdroplet Platform for the Automated Immunoassay of F1 Antigens in Yersinia pestis

Namhyun Choi; Ji Young Lee; Juhui Ko; Jun Ho Jeon; Gi-eun Rhie; Andrew J. deMello; Jaebum Choo

The development of surface-enhanced Raman scattering (SERS)-based microfluidic platforms has attracted significant recent attention in the biological sciences. SERS is a highly sensitive detection modality, with microfluidic platforms providing many advantages over microscale methods, including high analytical throughput, facile automation, and reduced sample requirements. Accordingly, the integration of SERS with microfluidic platforms offers significant utility in chemical and biological experimentation. Herein, we report a fully integrated SERS-based microdroplet platform for the automatic immunoassay of specific antigen fraction 1 (F1) in Yersinia pestis. Specifically, highly efficient and rapid immunoreactions are achieved through sequential droplet generation, transport, and merging, while wash-free immunodetection is realized through droplet-splitting. Such integration affords a novel multifunctional platform capable of performing complex multistep immunoassays in nL-volume droplets. The limit of detection of the F1 antigen for Yersinia pestis using the integrated SERS-based microdroplet platform is 59.6 pg/mL, a value approximately 2 orders of magnitude more sensitive than conventional enzyme-linked immunosorbent assays. This assay system has additional advantages including reduced sample consumption (less than 100 μL), rapid assay times (less than 10 min), and fully automated fluid control. We anticipate that this integrated SERS-based microdroplet device will provide new insights in the development of facile assay platforms for various hazardous materials.


Archive | 2018

Biomedical Applications of Surface-Enhanced Raman Scattering Spectroscopy

Rui Wang; Hyangah Chon; Sangyeop Lee; Juhui Ko; Joonki Hwang; Namhyun Choi; Ziyi Cheng; Xiaokun Wang; Jaebum Choo

Abstract Many efforts have been invested in the development of rapid and sensitive detection methods for the quantification of disease biomarkers in human blood. Although luminescence- and fluorescence-based detection methods, combined with an automatic sampling system, are routinely used for immunoassays of specific biomarkers, a more sensitive detection technique is needed to track disease progression in its early stage. Recently, a surface-enhanced Raman scattering (SERS)-based immunoassay technique has been considered as a strong candidate to resolve the problem of low sensitivity in conventional luminescence- or fluorescence-based clinical immunoassays. Due to its highly sensitive detection capability and the feasibility of automatic assay, the SERS-based assay technique has strong potential to substitute for currently available fluorescence or luminescence assay systems in clinical laboratory settings. To date, a variety of clinical biomarkers such as proteins, DNAs, hormones, viruses, bacteria, and toxins have been measured using the SERS-based assay technique. Several different types of assay platform have been developed for rapid and reproducible SERS-based assays. In this chapter, four different SERS-based assay platforms—gold-patterned microarray-type substrates, magnetic bead-based assay platforms, microfluidic devices, and lateral flow assay platforms—will be introduced. In addition, the diagnostic feasibility of these assay platforms for various biomarkers will be described.


Lab on a Chip | 2013

Trace analysis of mercury(II) ions using aptamer-modified Au/Ag core–shell nanoparticles and SERS spectroscopy in a microdroplet channel

Eunsu Chung; Rongke Gao; Juhui Ko; Namhyun Choi; Dong Woo Lim; Eun Kyu Lee; Soo-Ik Chang; Jaebum Choo


Journal of Physical Chemistry C | 2011

Application of Silver-Coated Magnetic Microspheres to a SERS-Based Optofluidic Sensor

Byung-Hee Han; Namhyun Choi; Ki Hyung Kim; Dong Woo Lim; Jaebum Choo

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Soo-Ik Chang

Chungbuk National University

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