Soo‐Yeon Cho
Sungkyunkwan University · 工学
研究室紹介
Professor Soo-Yeon Cho's research lab specializes in the development of advanced two-dimensional (2D) materials and nanostructured heterostructures for next-generation electronic and sensing applications. The lab focuses on enhancing gas sensing performance through controlled doping, surface functionalization, and nanoarchitecture engineering—particularly using MoS₂, black phosphorus, and p-type metal oxide semiconductors. Key research directions include improving sensitivity, selectivity, and response kinetics in volatile organic compound (VOC) and toxic gas sensors, with an emphasis on scalable, wearable, and flexible sensing platforms. The lab also explores fundamental charge transfer mechanisms at 2D material interfaces to enable high-performance, low-power devices for real-world applications.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15In this work, we demonstrate that gas adsorption is significantly higher in edge sites of vertically aligned MoS2 compared to that of the conventional basal plane exposed MoS2 films. To compare the effect of the alignment of MoS2 on the gas adsorption properties, we synthesized three distinct MoS2 films with different alignment directions ((1) horizontally aligned MoS2 (basal plane exposed), (2) mixture of horizontally aligned MoS2 and vertically aligned layers (basal and edge exposed), and (3)
Superior chemical sensing performance of black phosphorus (BP) is demonstrated by comparison with MoS2 and graphene. Dynamic sensing measurements of multichannel detection show that BP displays highly sensitive, selective, and fast-responsive NO2 sensing performance compared to the other representative 2D sensing materials. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for on
The development of high-performance volatile organic compound (VOC) sensor based on a p-type metal oxide semiconductor (MOS) is one of the important topics in gas sensor research because of its unique sensing characteristics, namely, rapid recovery kinetics, low temperature dependence, high humidity or thermal stability, and high potential for p-n junction applications. Despite intensive efforts made in this area, the applications of such sensors are hindered because of drawbacks related to the
Controlling the charge concentrations of two-dimensional (2D) materials is a critical requirement for realizing versatility and potential application of these materials in high-performance electronics and sensors. In order to exploit the novel chemical-sensing characteristics of 2D materials for sensitive and selective sensors, various functionalization methods are needed to ensure efficient doping of channels based on 2D materials. In the present study, the gas-sensing performance of MoS 2 has
In this work, the effects of noble metal (Au and Pt) incorporation into black phosphorus (BP) were first investigated. Several important sensing results were observed as a result of the incorporation of Au or Pt into the BP surface. First, prior to incorporation, pristine BP only detects paramagnetic molecules, e.g., NO 2 or NO. However, after incorporation with Pt, low concentration of H 2 can be detected with high response amplitude. Furthermore, the H 2 sensing performance reported in this st
Weavable sensing fibers with superior mechanical strength and sensing functionality are crucial for the realization of wearable textile sensors. However, in the fabrication of previously reported wearable sensing fibers, additional processes such as reduction, doping, and coating were essential to satisfy both requirements. The sensing fibers should be continuously synthesized in a scalable process for commercial applications with high reliability and productivity, which was challenging. In this
Precise control of the size and interfaces of Pd grains is very important for designing a high-performance H<sub>2</sub> sensing channel because the transition of the Pd phase from α to β occurs through units of single grains. However, unfortunately, the grain controllability of previous approaches has been limited to grains exceeding 10 nm in size and simple macroscopic channel structures have only shown monotonic response behavior for a wide concentration range of H<sub>2</sub>. In this work,
Achieving high signal-to-noise ratio in chemical and biological sensors enables accurate detection of target analytes. Unfortunately, below the limit of detection (LOD), it becomes difficult to detect the presence of small amounts of analytes and extract useful information via any of the conventional methods. In this work, we examine the possibility of extracting “hidden signals” using deep neural network to enhance gas sensing below the LOD region. As a test case system, we conduct experiments
In this study, we investigate the gas sensing performance of molybdenum carbides for the first time and they show ultra-high signal-to-noise ratios and excellent ambient stability.
Abstract Rapid industrial growth has severely impacted ecosystems and aggravated economic and health risks to society. Monitoring of ecosystems is fundamental to our understanding of how ecosystem change impacts resources and is critical for developing data‐based sustainability. Thus, the design and development of optimized sensors for ecosystem monitoring have received increasing attention. This review provides a comprehensive overview of systematic sensor design strategies for ecosystem monito
Fluorescent nanomaterials such as carbon quantum dots (CQDs) have been widely utilized as optical nanosensors for the detection and imaging of chemical or biological species with their superior sensitivity and spatiotemporal monitoring capabilities. Even though the nanosensors originally provide high sensitivity, the potential limit of detection (LOD) could not be accurately utilized for real-world applications due to the absence of signal extraction near the noise level, which is significantly
Nanosensors have proven to be powerful tools to monitor single cells, achieving spatiotemporal precision even at molecular level. However, there has not been way of extending this approach to statistically relevant numbers of living cells. Herein, we design and fabricate nanosensor array in microfluidics that addresses this limitation, creating a Nanosensor Chemical Cytometry (NCC). nIR fluorescent carbon nanotube array is integrated along microfluidic channel through which flowing cells is guid
To develop better analytical approaches for future global pandemics, it is widely recognized that sensing materials are necessary that enable molecular recognition and sensor assay development on a much faster scale than currently possible. Previously developed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) point-of-care devices are based on the specific molecular recognition using subunit protein antibodies and protein receptors that selectively capture the viral proteins. However
In this review, we provide a comprehensive overview of the latest advancements in diagnostic sensor design using nIR fluorescent SWCNTs and suggest potential directions for technological developments for real-world applications.
Enhancement of the fluorescence intensity of quantum dot (QD)-polymer nanocomposite arrays is an important issue in QD studies because of the significant reduction of fluorescence signals of such arrays due to nonradiative processes in densely packed polymer chains in solid films. In this study, we enhance the fluorescence intensity of such arrays without significantly reducing their optical transparency. Enhanced fluorescence is achieved by hybridizing ultrathin plasmonic Au nanowalls onto the