Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Won-Geun Kim is active.

Publication


Featured researches published by Won-Geun Kim.


Energy and Environmental Science | 2015

Bioinspired piezoelectric nanogenerators based on vertically aligned phage nanopillars

Dong-Myeong Shin; Hye Ji Han; Won-Geun Kim; Eunjong Kim; Chuntae Kim; Suck Won Hong; Hyung Kook Kim; Jin-Woo Oh; Yoon-Hwae Hwang

Bioinspired nanogenerators based on vertically aligned phage nanopillars are inceptively demonstrated. Vertically aligned phage nanopillars enable not only a high piezoelectric response but also a tuneable piezoelectricity. Piezoelectricity is also modulated by tuning of the proteins dipoles in each phage. The sufficient electrical power from phage nanopillars thus holds promise for the development of self-powered implantable and wearable electronics.


Biosensors and Bioelectronics | 2016

Biomimetic self-templating optical structures fabricated by genetically engineered M13 bacteriophage

Won-Geun Kim; Hyerin Song; Chuntae Kim; Jong-Sik Moon; Kyujung Kim; Seung-Wuk Lee; Jin-Woo Oh

Here, we describe a highly sensitive and selective surface plasmon resonance sensor system by utilizing self-assembly of genetically engineered M13 bacteriophage. About 2700 copies of genetically expressed peptide copies give superior selectivity and sensitivity to M13 phage-based SPR sensor. Furthermore, the sensitivity of the M13 phage-based SPR sensor was enhanced due to the aligning of receptor matrix in specific direction. Incorporation of specific binding peptide (His Pro Gln: HPQ) gives M13 bacteriophage high selectivity for the streptavidin. Our M13 phage-based SPR sensor takes advantage of simplicity of self-assembly compared with relatively complex photolithography techniques or chemical conjugations. Additionally, designed structure which is composed of functionalized M13 bacteriophage can simultaneously improve the sensitivity and selectivity of SPR sensor evidently. By taking advantages of the genetic engineering and self-assembly, we propose the simple method for fabricating novel M13 phage-based SPR sensor system which has a high sensitivity and high selectivity.


Chemistry-an Asian Journal | 2016

Identification of Endocrine Disrupting Chemicals using a Virus-Based Colorimetric Sensor

Jong-Sik Moon; Yujin Lee; Dong-Myeoing Shin; Chuntae Kim; Won-Geun Kim; Minji Park; Jiye Han; Hyerin Song; Kyukung Kim; Jin-Woo Oh

A simple and portable colorimetric sensor based on M13 bacteriophage (phage) was devised to identify a class of endocrine disrupting chemicals, including benzene, phthalate, and chlorobenzene derivatives. Arrays of structurally and genetically modified M13 bacteriophage were fabricated so as to produce a biomimetic colorimetric sensor, and color changes in the phage arrays in response to several benzene derivatives were characterized. The sensor was also used to classify phthalate and chlorobenzene derivatives as representatives of endocrine disrupting chemicals. The characteristic color patterns obtained on exposure to various benzene derivatives enabled similar chemical structures in the vapor phase to be classified. Our sensing approach based on the use of a genetically surface modified M13 bacteriophage offers a promising platform for portable, simple environmental monitors that could be extended for use in numerous application areas, including food monitoring, security monitoring, explosive risk assessment, and point of care testing.


Mini-reviews in Organic Chemistry | 2015

M13 Bacteriophage-Based Self-Assembly Structures and Their Functional Capabilities

Jong-Sik Moon; Won-Geun Kim; Chuntae Kim; Geun-Tae Park; Jeong Heo; So Y. Yoo; Jin-Woo Oh

Controlling the assembly of basic structural building blocks in a systematic and orderly fashion is an emerging issue in various areas of science and engineering such as physics, chemistry, material science, biological engineering, and electrical engineering. The self-assembly technique, among many other kinds of ordering techniques, has several unique advantages and the M13 bacteriophage can be utilized as part of this technique. The M13 bacteriophage (Phage) can easily be modified genetically and chemically to demonstrate specific functions. This allows for its use as a template to determine the homogeneous distribution and percolated network structures of inorganic nanostructures under ambient conditions. Inexpensive and environmentally friendly synthesis can be achieved by using the M13 bacteriophage as a novel functional building block. Here, we discuss recent advances in the application of M13 bacteriophage self-assembly structures and the future of this technology.


Scientific Reports | 2015

Virus based Full Colour Pixels using a Microheater.

Won-Geun Kim; Kyujung Kim; Sung-Hun Ha; Hyerin Song; Hyun-Woo Yu; Chuntae Kim; Jong-Man Kim; Jin-Woo Oh

Mimicking natural structures has been received considerable attentions, and there have been a few practical advances. Tremendous efforts based on a self-assembly technique have been contributed to the development of the novel photonic structures which are mimicking nature’s inventions. We emulate the photonic structures from an origin of colour generation of mammalian skins and avian skin/feathers using M13 phage. The structures can be generated a full range of RGB colours that can be sensitively switched by temperature and substrate materials. Consequently, we developed an M13 phage-based temperature-dependent actively controllable colour pixels platform on a microheater chip. Given the simplicity of the fabrication process, the low voltage requirements and cycling stability, the virus colour pixels enable us to substitute for conventional colour pixels for the development of various implantable, wearable and flexible devices in future.


Chemical Science | 2017

Bioinspired M-13 bacteriophage-based photonic nose for differential cell recognition

Jong-Sik Moon; Won-Geun Kim; Dong-Myeong Shin; So-Young Lee; Chuntae Kim; Yujin Lee; Jiye Han; Kyujung Kim; So Young Yoo; Jin-Woo Oh


Journal of Photochemistry and Photobiology A-chemistry | 2015

Photosensitization of novel ruthenium-functionalized photoconductive polymers: Effect of ruthenium complex as photosensitizer

Jong-Sik Moon; Chuntae Kim; Won-Geun Kim; Inhong Kim; Kwangseuk Kyhm; Jin-Woo Oh; Nakjoong Kim


Organic Electronics | 2015

Synthesis and characterization of fluorene-based copolymers as electron-transporting materials for PLEDs

Ho-Ik Ahn; Jong-Sik Moon; Won-Geun Kim; Mohammad Afsar Uddin; Jongwan Choi; Chuntae Kim; Han Young Woo; Nakjoong Kim; Jin-Woo Oh


ACS Applied Nano Materials | 2018

Fabrication of Self-Assembled Nanoporous Structures from Self-Templating M13 Bacteriophage

Jiye Han; Vasanthan Devaraj; Chuntae Kim; Won-Geun Kim; Dong-Wook Han; Suck Won Hong; Yong-Cheol Kang; Jin-Woo Oh


Chemical Science | 2017

Correction: Bioinspired M-13 bacteriophage-based photonic nose for differential cell recognition

Jong-Sik Moon; Won-Geun Kim; Dong-Myeong Shin; So-Young Lee; Chuntae Kim; Yujin Lee; Jiye Han; Kyujung Kim; So Young Yoo; Jin-Woo Oh

Collaboration


Dive into the Won-Geun Kim's collaboration.

Top Co-Authors

Avatar

Chuntae Kim

Pusan National University

View shared research outputs
Top Co-Authors

Avatar

Jong-Sik Moon

Pusan National University

View shared research outputs
Top Co-Authors

Avatar

Jin-Woo Oh

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar

Jiye Han

Pusan National University

View shared research outputs
Top Co-Authors

Avatar

Kyujung Kim

Pusan National University

View shared research outputs
Top Co-Authors

Avatar

Jin-Woo Oh

Lawrence Berkeley National Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Hyerin Song

Pusan National University

View shared research outputs
Top Co-Authors

Avatar

Yujin Lee

Pusan National University

View shared research outputs
Top Co-Authors

Avatar

Minji Park

Pusan National University

View shared research outputs
Researchain Logo
Decentralizing Knowledge