Z
Zhong Chen
Researcher at Nanyang Technological University
Publications - 1114
Citations - 37928
Zhong Chen is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Chemistry & Catalysis. The author has an hindex of 80, co-authored 1000 publications receiving 28171 citations. Previous affiliations of Zhong Chen include Institute of High Performance Computing Singapore & National Institute of Education.
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NMR-based metabonomic analysis of MnO-embedded iron oxide nanoparticles as potential dual-modal contrast agents
TL;DR: The metabonomic analysis of body fluids and tissues indicated that MnIO-NPs induced metabolic perturbation in rats including energy, nucleotides, amino acids and phospholipid metabolisms, which would provide identifiable ground for the candidate selection and optimization.
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A single-scan method for NMR 2D J-resolved spectroscopy.
TL;DR: A single-scan method is proposed to shorten the acquisition time for an NMR 2D J-resolved spectrum to 1 second, and constitutes an effective tool for obtaining decoupled proton spectra and fine scalar-coupling splitting patterns.
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Fast and Simple Construction of Efficient Solar-Water-Splitting Electrodes with Micrometer-Sized Light-Absorbing Precursor Particles
TL;DR: In this paper, a fast and simple fabrication scheme of drop-casting followed by the necking treatment is developed to enable the micrometer-sized precursor particles derived photoelectrodes to deliver appreciable photocurrent densities (> 1 mA cm−2).
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Fast acquisition scheme for achieving high-resolution MRS with J-scaling under inhomogeneous fields.
TL;DR: Sparse sampling in the t1 dimension and subsequent fold‐over correction are used to speed up the intermolecular zero‐quantum coherence spectroscopy by up to 50 times on high‐field MR systems.
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Size-dependent tissue-specific biological effects of core–shell structured Fe 3 O 4 @SiO 2 –NH 2 nanoparticles
TL;DR: The integrated metabolomic approach is an effective tool to understand physiological responses to the size-specific properties of nanoparticles and can provide a direction for the future biological applications of Fe@Si-NPs.