Literature DB >> 25001041

Hairpin DNA-assisted silicon/silver-based surface-enhanced Raman scattering sensing platform for ultrahighly sensitive and specific discrimination of deafness mutations in a real system.

Hui Wang1, Xiangxu Jiang, Xing Wang, Xinpan Wei, Ying Zhu, Bin Sun, Yuanyuan Su, Sudan He, Yao He.   

Abstract

Surface-enhanced Raman scattering (SERS) is well-recognized as a powerful analytical tool for ultrahighly sensitive detection of analytes. In this article, we present a kind of silicon-based SERS sensing platform made of a hairpin DNA-modified silver nanoparticles decorated silicon wafer (AgNPs@Si). In particular, the AgNPs@Si with a high enhancement factor (EF) value of ~4.5 × 10(7) is first achieved under optimum reaction conditions (i.e., pH = 12, reaction time = 20 min) based on systematic investigation. Such resultant AgNPs@Si is then employed for construction of a silicon-based SERS sensing platform through surface modification of hairpin DNA, which is superbly suitable for highly reproducible, multiplexed, and ultrasensitive DNA detection. A detection limit of 1 fM is readily achieved in a very reproducible manner along with high specificity. Most significantly, for the first time, we demonstrate that the silicon-based SERS platform is highly efficacious for discriminating deafness-causing mutations in a real system at the femtomolar level (500 fM), which is about 3-4 orders of magnitude lower than that (~5 nM) ever reported by conventional detection methods. Our results raise the exciting potential of practical SERS applications in biology and biomedicine.

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Year:  2014        PMID: 25001041     DOI: 10.1021/ac501675d

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  1 in total

1.  Dealloyed Intra-Nanogap Particles with Highly Robust, Quantifiable Surface-Enhanced Raman Scattering Signals for Biosensing and Bioimaging Applications.

Authors:  Minho Kim; Sung Min Ko; Jae-Myoung Kim; Jiwoong Son; Chungyeon Lee; Won-Kyu Rhim; Jwa-Min Nam
Journal:  ACS Cent Sci       Date:  2018-01-17       Impact factor: 14.553

  1 in total

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