Kyo Seon Hwang

Dr. Kyo Seon Hwang


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2017 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
MCMyung-Sic Chae
Myung-Sic Chae
JKJinsik Kim
Jinsik Kim
DJDahye Jeong
Dahye Jeong
YoungSoo KimYoungSoo Kim
YoungSoo Kim
JRJee Hoon Roh
Jee Hoon Roh
KHKyo Seon Hwang
Kyo Seon Hwang

25 November 2014 in Sensors
Verified
Journal Article
Open access
PDF file
JLJunwoo Lee
Junwoo Lee
WCWook Choi
Wook Choi
YKYoo Yong Kyoung
Yoo Yong Kyoung
KHKyo Seon Hwang
Kyo Seon Hwang
SLSang-Myung Lee
Sang-Myung Lee
JLJeong Hoon Lee
Jeong Hoon Lee
The ability to measure pressure and force is essential in biomedical applications such as minimally invasive surgery (MIS) and palpation for detecting cancer cysts. Here, we report a force sensor for measuring a shear and normal force by combining an arrayed piezoelectric sensors layer with a precut glass top plate connected by four stress concentrating legs. We designed and fabricated a thin film piezoelectric force sensor and proposed an enhanced sensing tool to be used for analyzing gentle touches without the external voltage source used in FET sensors. Both the linear sensor response from 3 kPa to 30 kPa and the exact signal responses from the moving direction illustrate the strong feasibility of the described thin film miniaturized piezoelectric force sensor.

17 March 2015 in Scientific Reports
Verified
Journal Article
Open access
PDF file
SJSoomi Ju
Soomi Ju
KLKi-Young Lee
Ki-Young Lee
SMSun-Joon Min
Sun-Joon Min
YYYong Kyoung Yoo
Yong Kyoung Yoo
KHKyo Seon Hwang
Kyo Seon Hwang
HYHyunjung Yi
Hyunjung Yi
Although volatile organic compounds (VOCs) are becoming increasingly recognized as harmful agents and potential biomarkers, selective detection of the organic targets remains a tremendous challenge. Among the materials being investigated for target recognition, peptides are attractive candidates because of their chemical robustness, divergence and their homology to natural olfactory receptors. Using a combinatorial peptide library and either a graphitic surface or phenyl-terminated self-assembled monolayer as relevant target surfaces, we successfully selected three interesting peptides that differentiate a single carbon deviation among benzene and its analogues. The heterogeneity of the designed target surfaces provided peptides with varying affinity toward targeted molecules and generated a set of selective peptides that complemented each other. Microcantilever sensors conjugated with each peptide quantitated benzene, toluene and xylene to sub-ppm levels in real time. The selection of specific receptors for a group of volatile molecules will provide a strong foundation for general approach to individually monitoring VOCs.

1 December 2011 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
KHKyo Seon Hwang
Kyo Seon Hwang
MLMin Hyuck Lee
Min Hyuck Lee
JLJuhee Lee
Juhee Lee
WYWoon-Seok Yeo
Woon-Seok Yeo
JLJeong Hoon Lee
Jeong Hoon Lee
TKTae Song Kim
Tae Song Kim

19 September 2016 in Scientific Reports
Verified
Journal Article
Open access
PDF file
YYYong Kyoung Yoo
Yong Kyoung Yoo
JLJaekwang Lee
Jaekwang Lee
JKJinsik Kim
Jinsik Kim
GKGangeun Kim
Gangeun Kim
SKSunpil Kim
Sunpil Kim
KHKyo Seon Hwang
Kyo Seon Hwang
Brain-derived neurotrophic factor (BDNF) plays a critical role in cognitive processes including learning and memory. However, it has been difficult to detect BDNF in the brains of behaving animals because of its extremely low concentration, i.e., at the sub-nanogram/mL level. Here, we developed an interdigitated microelectrode (IME) biosensor coated with an anti-BDNF an anti-BDNF antibody in a polydimethylsiloxane (PDMS)-based microfluidic channel chip. This sensor could detect BDNF from microliter volumes of liquid samples even at femtogram/mL concentrations with high selectivity over other growth factors. Using this biosensor, we examined whether BDNF is detectable from periodical collection of cerebrospinal fluid microdialysate, sampled every 10 min from the hippocampus of mice during the context-dependent fear-conditioning test. We found that the IME biosensor could detect a significant increase in BDNF levels after the memory task. This increase in BDNF levels was prevented by gene silencing of BDNF, indicating that the IME biosensor reliably detected BDNFin vivo. We propose that the IME biosensor provides a general-purpose probe for ultrasensitive detection of biomolecules with low abundance in the brains of behaving animals.

1 November 2016 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
HKHye Jin Kim
Hye Jin Kim
JKJinsik Kim
Jinsik Kim
YYYong Kyoung Yoo
Yong Kyoung Yoo
JLJeong Hoon Lee
Jeong Hoon Lee
JPJung Ho Park
Jung Ho Park
KHKyo Seon Hwang
Kyo Seon Hwang