Literature DB >> 31663759

Dual-Enhanced Raman Scattering-Based Characterization of Stem Cell Differentiation Using Graphene-Plasmonic Hybrid Nanoarray.

Letao Yang1, Jin-Ho Lee1,2, Christopher Rathnam1, Yannan Hou1, Jeong-Woo Choi2, Ki-Bum Lee1.   

Abstract

Surface-enhanced Raman scattering (SERS) has demonstrated great potential to analyze a variety of bio/chemical molecular interactions within cells in a highly sensitive and selective manner. Despite significant advancements, it remains a critical challenge to ensure high sensitivity and selectivity, while achieving uniform signal enhancement and high reproducibility for quantitative detection of targeted biomarkers within a complex stem cell microenvironment. Herein, we demonstrate an innovative sensing platform, using graphene-coated homogeneous plasmonic metal (Au) nanoarrays, which synergize both electromagnetic mechanism (EM)- and chemical mechanism (CM)-based enhancement. Through the homogeneous plasmonic nanostructures, generated by laser interference lithography (LIL), highly reproducible enhancement of Raman signals could be obtained via a strong and uniform EM. Additionally, the graphene-functionalized surface simultaneously amplifies the Raman signals by an optimized CM, which aligns the energy level of the graphene oxide with the target molecule by tuning its oxidation levels, consequently increasing the sensitivity and accuracy of our sensing system. Using the dual-enhanced Raman scattering from both EM from the homogeneous plasmonic Au nanoarray and CM from the graphene surface, our graphene-Au hybrid nanoarray was successfully utilized to detect as well as quantify a specific biomarker (TuJ1) gene expression levels to characterize neuronal differentiation of human neural stem cells (hNSCs). Collectively, we believe our unique graphene-plasmonic hybrid nanoarray can be extended to a wide range of applications in the development of simple, rapid, and accurate sensing platforms for screening various bio/chemical molecules.

Entities:  

Keywords:  2D nanomaterials; DNA detection; Surface-enhanced Raman scattering; biosensing; stem cell differentiation

Year:  2019        PMID: 31663759     DOI: 10.1021/acs.nanolett.9b03402

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  6 in total

Review 1.  Harnessing the Therapeutic Potential of Extracellular Vesicles for Biomedical Applications Using Multifunctional Magnetic Nanomaterials.

Authors:  Letao Yang; Kapil D Patel; Christopher Rathnam; Ramar Thangam; Yannan Hou; Heemin Kang; Ki-Bum Lee
Journal:  Small       Date:  2022-02-08       Impact factor: 15.153

2.  Hybrid Graphene-Gold Nanoparticle-based Nucleic Acid Conjugates for Cancer-Specific Multimodal Imaging and Combined Therapeutics.

Authors:  Letao Yang; Tae-Hyung Kim; Hyeon-Yeol Cho; Jeffrey Luo; Jong-Min Lee; Sy-Tsong Dean Chueng; Yannan Hou; Perry To-Tien Yin; Jiyou Han; Jong Hoon Kim; Bong Geun Chung; Jeong-Woo Choi; Ki-Bum Lee
Journal:  Adv Funct Mater       Date:  2020-10-23       Impact factor: 18.808

3.  SERS Amplification in Au/Si Asymmetric Dimer Array Coupled to Efficient Adsorption of Thiophenol Molecules.

Authors:  Grégory Barbillon; Andrey Ivanov; Andrey K Sarychev
Journal:  Nanomaterials (Basel)       Date:  2021-06-08       Impact factor: 5.076

Review 4.  Graphene Hybrid Materials for Controlling Cellular Microenvironments.

Authors:  Cheol-Hwi Kim; Tae-Hyung Kim
Journal:  Materials (Basel)       Date:  2020-09-10       Impact factor: 3.623

Review 5.  Raman and Fluorescence Enhancement Approaches in Graphene-Based Platforms for Optical Sensing and Imaging.

Authors:  Sandra Cortijo-Campos; Rafael Ramírez-Jiménez; Alicia de Andrés
Journal:  Nanomaterials (Basel)       Date:  2021-03-05       Impact factor: 5.076

6.  In Situ Detection of Neurotransmitters from Stem Cell-Derived Neural Interface at the Single-Cell Level via Graphene-Hybrid SERS Nanobiosensing.

Authors:  Jin-Ha Choi; Tae-Hyung Kim; Waleed Ahmed El-Said; Jin-Ho Lee; Letao Yang; Brian Conley; Jeong-Woo Choi; Ki-Bum Lee
Journal:  Nano Lett       Date:  2020-09-03       Impact factor: 11.189

  6 in total

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