Research 

Narcotic analytes require a stationary phase tailored to their low volatility and high polarity. We propose an i-Hybrid gel combining the ionic liquid [BMIM][BF₄] with OV-1, where the polymer matrix enables uniform coating while the ionic liquid provides diverse interactions such as hydrogen bonding, π–π, and ion–dipole interactions. 

Compared with a conventional OV-1 column, the i-Hybrid gel microcolumn showed lower tailing factors and higher column efficiency, successfully separating seven narcotic substances. DFT calculations confirmed stronger binding energies between the ionic liquid and the drug analytes, supporting the improved separation performance. 

High-aspect-ratio pillar structures were introduced into the micro-column channel to increase the interaction area within a short length while maintaining a lower pressure drop than packed columns. 

For very volatile organic compounds (VVOCs), which are hard to retain with conventional thin-film phases, a porous-layer stationary phase was coated onto the channel to provide sufficient retention and extend the separation capability of the micro-column. 

Thermal runaway in EVs poses serious risks, especially in enclosed spaces. This study develops a system to detect precursor gases before thermal runaway occurs.

Lightweight gases released in the early stages are captured and concentrated using a preconcentrator, separated in a micro-column, and analyzed by gas sensors. This multi-step approach enables early intervention, preventing escalation.

A vertically grown LIG-based thin-film pressure sensor was developed to monitor mechanical changes during thermal runaway in electric vehicle lithium-ion batteries, providing stable measurements under high-temperature and high-pressure conditions. 

Its resistance decreases with temperature but increases with pressure, allowing the two effects to be distinguished. In tests on an actual battery module, distinct changes at the swelling, venting, and fire stages enabled early, stage-specific detection. 

Before visible smoke or fire appears, battery cells release trace precursor "swelling gases" during the early thermal-runaway stage; capturing this faint early signal is the key to preventing catastrophic failure in confined spaces such as underground parking lots or ESS enclosures.

A porous laser-induced graphene (LIG) adsorbent is directly patterned onto a MEMS micro-heater via CO₂ laser carbonization, then rapidly heated to thermally desorb the captured gas as a sharp, concentrated pulse — boosting the downstream sensor signal to more than 4× baseline in a simulated battery-swelling test.

Light hydrocarbon gases (C1–C2) released in the early stages of faults — such as lithium-ion battery thermal runaway or transformer oil degradation — are important indicators for preventing major accidents, but their low adsorption makes them difficult to detect at low concentrations. 

We developed a semi-packed micro-column based on a high-aspect-ratio structure to enhance retention of these light gases, enabling their separation and, together with a preconcentrator, detection at low concentrations. This approach aims toward on-site, wide-range gas analysis for early hazard diagnosis. 

Human breath contains trace VOCs — such as acetone, ammonia, and sulfur-containing species — that have been reported as potential biomarkers for diseases including diabetes, renal dysfunction, and lung cancer. 

These compounds exist at extremely low concentrations in a humid, complex background. We aim to enrich target VOCs using a preconcentrator and resolve them through separation and analysis, so that breath could serve as a route toward early disease screening. 

SU-8, an epoxy-based negative photoresist, is transformed into nanoporous reduced graphene oxide (rGO) through CO₂ laser irradiation, creating a conductive and highly porous sensing material. 

rGO-based sensor demonstrates exceptional sensitivity, detecting NO₂ and H₂ with high selectivity through SnO and Pd functionalization. 

The micro-GC system consists of fluidically interconnected subsystems: a preconcentrator/injector, a separation column, adetector, and a pump. These subsystems are microfabricated using MEMS technology. 

The measured mechanical properties are applied to the high performance vehicle seat simulation to analyze the body pressure distribution and to present criteria for seating surface segmentation. Based on the segme-ntalized criteria, we develop a seat sensor system that can measure the body pressure in real time and experimentally explore the pressure dis-tribution on a seat due to occupants.

PEMFC is one of the most important sources of eco-friendly automotive energy, and its lifespan is the most important factor in popularizing eco-friendly cars. The lifetime of PEMFC is affected by changes in int-ernal stress depending on the operation conditions.

In this study, a numerical analysis model of the PEMFC transient pro-cess was developed using the Lumped method. The developed num-erical analysis model can simultaneously identify changes in internal stress in real time as the operation conditions change, and can perform calculations in a fast time compared to the 3D commercial program. The developed transitional numerical analysis model is expected to help with PEMFC life study.

The pressure sensor embedded in the seat recognizes the deviation if the pressure of a specific region is different from others. The chair will attempt to correct the bad posture using actuators also embedded in the chair until the pressure value returns to its original state.

The control section can be used to switch to the automatic reclining mode, and the status of the current posture can be monitored in real time through a smart mirror display. You can also receive detailed feedback on your posture using a smartphone application.

A device for keeping the temperature of the hair follicle constant during hair transplant procedure by applying a medical chilling device system using thermoelectric element. Use thermocouple sensor and PID controller to check temperature in real time and maintain target temperature using TEC thermoelectric element through continuous feedback .

With the recent rise in the price of silicon raw materials, much atten-tion has been paid to ultra-thin silicon solar cells. But the biggest problem in the production of ultra-thin silicon solar cells is the low yield. This is known to be due to different thermal expansion rates between the aluminium face and silicon used as Back Contact. Differences in thermal expansion rates cause bending during the manufacturing process through heating and cooling. This bending phenomenon has a great effect on the yield stress and elasticity coefficient of electrodes used in solar cells. However, no research has been conducted on BSF layers that are formed between silicon and aluminum yet.

The purpose of this study was to predict the bending phenomenon according to the thickness and mechanical material value of the BSF layer mixed with silicon and aluminum.