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Bin Ren

Researcher at Xiamen University

Publications -  528
Citations -  30728

Bin Ren is an academic researcher from Xiamen University. The author has contributed to research in topics: Raman spectroscopy & Surface-enhanced Raman spectroscopy. The author has an hindex of 73, co-authored 470 publications receiving 23452 citations. Previous affiliations of Bin Ren include Pacific Northwest National Laboratory & Max Planck Society.

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Preparation of gold tips suitable for tip-enhanced Raman spectroscopy and light emission by electrochemical etching

TL;DR: In this paper, a method of preparing gold scanning tunneling microscopy (STM) tips by direct current electrochemical etching in concentrated HCl and ethanol solution is described, which can be efficiently used for STM imaging, tipenhanced Raman spectroscopy, and light emission investigations on the same sample.
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Activation of oxygen on gold and silver nanoparticles assisted by surface plasmon resonances

TL;DR: Surface-enhanced Raman spectroscopy applied to find out the mechanism of SPR-assisted activation of oxygen, by using p-aminothiophenol (PATP) as a probe molecule, and reveals that oxygen molecules were activated by accepting an electron from a metal nanoparticle under the excitation of SPR to form a strongly adsorbed oxygen molecule anion.
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Label-Free Surface-Enhanced Raman Spectroscopy Detection of DNA with Single-Base Sensitivity

TL;DR: Iodide-modified Ag nanoparticles are used to obtain highly reproducible SERS signals of single- and double-strand DNA in aqueous solutions close to physiological conditions and the phosphate backbone signal was used as an internal standard to calibrate the absolute signal of each base for more reliable determination of the DNA structure.
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Investigation of surface-enhanced Raman scattering from platinum electrodes using a confocal Raman microscope: dependence of surface roughening pretreatment

TL;DR: In this article, the surface roughening conditions for the SERS from the adsorbed pyridine, thiocynate and hydrogen are assessed in terms of the corresponding surface Raman intensities, enhancement factors and surface homogeneity.
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Reliable Quantitative SERS Analysis Facilitated by Core–Shell Nanoparticles with Embedded Internal Standards

TL;DR: The quantitative analysis of target molecules over a large concentration range has been demonstrated with a linear response of the relative SERS intensity versus the surface coverage, which has not been achieved by conventional SERS methods.