Hyun Jin Kim
Korea Advanced Institute of Science and Technology · Engineering
About the Lab
Professor Hyun Jin Kim's research lab specializes in the design and application of advanced nanomaterials and biomolecular systems for biomedical and sustainable chemical applications. Key research directions include the development of stimuli-responsive nanoarchitectures for targeted siRNA delivery, light-driven redox catalysis using enzyme-cofactor systems and carbon nanodots, and the engineering of synthetic polymers for efficient mRNA delivery in genome editing. The lab also explores the emerging photocatalytic properties of biological cofactors like NAD⁺, expanding their functional roles beyond cellular metabolism.
Research Overview
Research Output Trend
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Selected Papers
15Abstract Light‐driven activation of redox enzymes is an emerging route for sustainable chemical synthesis. Among redox enzymes, the family of Old Yellow Enzyme (OYE) dependent on the nicotinamide adenine dinucleotide cofactor (NADH) catalyzes the stereoselective reduction of α,β‐unsaturated hydrocarbons. Here, we report OYE‐catalyzed asymmetric hydrogenation through light‐driven regeneration of NADH and its analogues (mNADHs) by N‐doped carbon nanodots (N‐CDs), a zero‐dimensional photocatalyst.
Nicotinamide adenine dinucleotide functions as a molecular photocatalyst, distinct from its pivotal roles in biological processes.
A robust, scalable FeOOH/BiVO<sub>4</sub>/Cu(In,Ga)Se<sub>2</sub> tandem structure achieves unbiased, long-term photobiocatalytic conversion of CO<sub>2</sub> to formate.
Tumor-derived extracellular vesicles (EVs) have become important biomarkers of liquid biopsies for precision medicine. However, the clinical application of EVs has been limited due to the lack of EV isolation practical technology applicable to clinical environments. Here, we report an innovative EV isolation method, which is quick and simple, and facilitates high-yield and high-purity EV isolation from blood. Introducing a cationic polymer in plasma resulted in rapid clustering of anionic EVs an
Research Areas
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