Literature DB >> 26026551

A fast and reliable readout method for quantitative analysis of surface-enhanced Raman scattering nanoprobes on chip surface.

Hyejin Chang1, Homan Kang2, Sinyoung Jeong1, Eunbyeol Ko1, Yoon-Sik Lee2, Ho-Young Lee3, Dae Hong Jeong1.   

Abstract

Surface-enhanced Raman scattering techniques have been widely used for bioanalysis due to its high sensitivity and multiplex capacity. However, the point-scanning method using a micro-Raman system, which is the most common method in the literature, has a disadvantage of extremely long measurement time for on-chip immunoassay adopting a large chip area of approximately 1-mm scale and confocal beam point of ca. 1-μm size. Alternative methods such as sampled spot scan with high confocality and large-area scan method with enlarged field of view and low confocality have been utilized in order to minimize the measurement time practically. In this study, we analyzed the two methods in respect of signal-to-noise ratio and sampling-led signal fluctuations to obtain insights into a fast and reliable readout strategy. On this basis, we proposed a methodology for fast and reliable quantitative measurement of the whole chip area. The proposed method adopted a raster scan covering a full area of 100 μm × 100 μm region as a proof-of-concept experiment while accumulating signals in the CCD detector for single spectrum per frame. One single scan with 10 s over 100 μm × 100 μm area yielded much higher sensitivity compared to sampled spot scanning measurements and no signal fluctuations attributed to sampled spot scan. This readout method is able to serve as one of key technologies that will bring quantitative multiplexed detection and analysis into practice.

Mesh:

Year:  2015        PMID: 26026551     DOI: 10.1063/1.4921100

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  2 in total

1.  Plasmonic Nanoparticles: Advanced Researches (II).

Authors:  Hyejin Chang; Sang Hun Lee; Jaehi Kim; Won-Yeop Rho; Xuan-Hung Pham; Dae Hong Jeong; Bong-Hyun Jun
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

2.  Rapid and Ultrasensitive Quantification of Multiplex Respiratory Tract Infection Pathogen via Lateral Flow Microarray based on SERS Nanotags.

Authors:  Di Zhang; Li Huang; Bing Liu; Qinyu Ge; Jian Dong; Xiangwei Zhao
Journal:  Theranostics       Date:  2019-07-09       Impact factor: 11.556

  2 in total

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