전라남도 해남군 두륜산도립공원은 난온대림과 온대림의 경계에 있는 추이대로 기후변화에 민감하게 반응하는 지역 이다. 본 연구는 랜드셋(Landsat) 위성영상과 딥러닝(deep learning) 기법을 활용하여 두륜산도립공원의 식생을 분류하 고, 지난 40년간 난온대 상록활엽수림의 공간분포 변화 특성을 분석했다. 분석 결과, 상록활엽수림 면적은 1980년대 중반 143.2ha(4.3%)에서 2020년대 중반 191.0ha(5.8%)로 증가하였다. 특히 이 분포 범위는 특정 지형 조건에 국한되지 않고, 고도·경사·사면향·토양 조건이 서로 다른 다양한 환경으로 확대되는 양상을 보였다. 이러한 결과는 상록활엽수림 이 단순히 면적 증가를 넘어, 기존의 환경적 제약을 점진적으로 극복하며 생태적 지위를 확장해 왔음을 의미한다. 본 연구는 난온대 상록활엽수림의 공간적 확장을 정량적으로 제시함으로써, 기후변화에 대한 식생 반응을 이해하는 데 중요한 기초자료를 제공한다. 두륜산 사례는 난온대림의 장기적인 분포 변화를 예측하고, 도립공원을 포함한 자연공 원의 식생 보전·관리 전략 수립에 중요한 시사점을 제공한다.

연안개발은 항만 건설, 매립, 준설, 해상풍력 단지 조성 등 여러 형태로 이루어지며, 이 과정에서 수질과 생태계 가 크게 변할 수 있다. 우리나라는 이러한 영향을 관리하기 위해 「해양이용영향평가법」을 운영하고 있지만, 현재 분기 별 또는 반기별 사업규모와 환경변수에 따라 5정점에서 20정점 실측만을 의무화하고 있다. 위성원격탐사의 공간분포 및 관측 주기에서 오는 장점에도 불구하고, 주로 구조물 위치와 공정 현황을 확인하는 수준에서만 위성영상이 사용되고 있으며, 실제 수질과 생태계의 변화를 평가하는 데 활용되는 경우는 전무하다. 본 연구는 위성 원격탐사가 해양이용영향평가에 더 폭넓게 활용될 수 있는 가능성을 재평가하였다. 구체적으로, GOCI-II, Sentinel-2, Landsat, PlanetScope 등 다양한 위성 자료를 이용하여 탁도, 클로로필-a, 적조 지표, 잘피와 같은 중요 연안서식지의 변화를 모니터링할 수 있는 가능성을 모색하였으며, 공사 전과 후를 비교하여 개발로 인한 변화를 정량적으로 파악할 수 있는 방법을 제안하였다. 이와 같은 위성 기반 모니터링을 현장조사와 함께 활용할 경우 해양환경 변화를 보다 넓은 시공간 범위에 걸쳐 관찰할 수 있을 것이며, 이로써 향후 연안개발의 영향 평가를 보다 객관적으로 수행하고 정책적 의사결정에 중요하게 기여할 것으로 기대된다

Currently, carbon nanotubes (CNTs) paper (also called Buckypaper, BP) is highly promising for application in flexible electronic materials. However, the lack of flexibility and durability of BP greatly affects the comprehensive performance. Here, we propose a simple method for manufacturing a waterborne polyurethane (WPU) toughened carbon nanotube paper (WPU-BP) with excellent overall performance through vacuum filtration. In WPU-BP, as the content of WPU increased from 0 to 48.3%, the tensile strength increased from 8.08 to 16.25 MPa, and the elongation at break increased from 2.14 to 225.04%, while the conductivity decreased from 41.34 to 20.33 S/cm. The WPU-BP with the WPU content of 18.9% (CNP8) demonstrated the optimum strain sensing performance. The gauge factor of CNP8 can reach 8.57 with a response time of 145 ms. It can detect a wide range of body movements from large joint movements to slight breathing, and exhibits high stability, maintaining high stability even after 1000 cycles. In addition, CNP8 shows excellent Joule heating performance, it can reach 186.1 °C at 5 V, with heating and cooling times of only 16 and 18 s, respectively, as well as with good reproducibility. In a word, the as-prepared WPU-BP exhibits excellent both strain sensing performance and Joule heating effect, and holds significant potential for applications in heating devices and wearable sensors.

In this study, ZnO porous nanorods were synthesised using a rotational hydrothermal process, and their performance as hydrogen sulphide (H2S) gas sensors was analysed. Compared to commercial ZnO nanoparticles and conventionally hydrothermally synthesised ZnO nanorods, the ZnO porous nanorods exhibited a more uniform structure and improved crystal growth in the (002) plane, with surfaces rich in porosity and oxygen vacancies. These structural and chemical characteristics significantly improved the sensitivity toward H2S, showing high detection performance at 250°C across various concentrations of H2S gas. Additionally, the sensor demonstrated excellent selectivity against other gases such as C2H5OH, C6H6, C7H8, and NH3. This study indicated that the rotational hydrothermal process is an effective method for developing high-performance ZnO-based gas sensors and suggests its applicability to other metal oxide materials.

This study incorporates the formation of carbon quantum dots (CQDs) via a hydrothermal approach, recording the first-time use of castor leaves as a natural precursor. The used precursor offers various benefits including novelty, abundance, elemental composition, and biocompatibility. CQDs were further characterized with multiple techniques including high-resolution transmission electron microscope (HR-TEM), X-ray photoelectron microscopy (XPS), X-ray diffraction (XRD), Fouriertransform infrared spectroscopy (FTIR), Raman spectroscopy, UV–visible spectroscopy, Zeta analysis, and optical spectroscopy. They are fundamentally composed of carbon (71.37%), nitrogen (3.91%), and oxygen (24.73%) and are nearly spherical, and uniformly distributed with an average diameter of 2.7 nm. They possess numerous interesting characteristics like broad excitation/emission bands, excitation-sensitive emission, marvelous photostability, reactivity, thermo-sensitivity, etc. A temperature sensor (thermal sensitivity of 0.58% C− 1) with repeatability and reversibility of results is also demonstrated. Additionally, they were found selective and sensitive to ions in aqueous solutions. So, they are also utilized as a fluorescent probe for metal ion ( Fe3+) sensing. The lowest limit of detection (LOD) value for the current metal ion sensor is 19.1 μM/L.

최근 동해 연안(≤300m)의 도루묵(Arctoscopus japonicus) 자원량의 급격한 변동 원인을 구명하기 위해, 현장 및 해색 위성 자료를 활용하여 겨울철 표층 수온, 산란 적합 서식지(Suitable Spawning Habitat, SSH) 및 지속 면적(Consistently formed Suitable Spawning Habitat, CSSH), 봄철 chlorophyll-a (chl-a) 농도의 장기 변동성(2000-2024년)을 분석하였다. 연구 결과, Period B (2005-2009년), C (2010-2016년)에는 모두 CSSH 중심과 높은 chl-a 농도가 공간적으로 일치하여 초기 좋은 먹이 환경이 형성되었으며, 특히 Period C에는 SSH 면적의 급격한 증가가 어획량 상승에 주요하게 작용하였다. Period D (2017-2024년)에는 겨울철 수온이 평년 대비 0.6 ºC 높게 나타났으며, CSSH의 중심부가 북상 하고 SSH는 Period C 대비 면적이 약 34% 감소하였다. 동시에, 봄철 chl-a의 고농도 지역과 CSSH의 중심부와 공간적인 불일치(mismatch)가 발생하였다. 종합적으로, 도루묵 자원량의 급격한 변동은 산란장 면적과 위치, 지속성, 먹이원의 공간적 일치 여부 등 복합적 환경요인에 의해 결정되는 것으로 확인되었다. 특히 최근의 급격한 자원량 감소는 수온 상승으로 인한 산란장 축소와 산란장 중심부에서의 먹이원 부족으로 인한 초기 생존율 저하가 주요 원인으로 판단된다. 본 연구 결과는 도루묵 자원의 지속가능한 이용과 효율적인 관리를 위한 과 학적 기초자료로 활용될 것으로 기대된다.

Due to the sturdy photoluminescence and absorption, CQDs emerged as a suitable candidate for optical sensing probe. The present study deals with the synthesis of blue-fluorescent Carbon Quantum Dot (TAA-CQD) using tannic acid and glycine as novel precursors. The TAA-CQD were synthesised hydrothermally with the high production yield and QY to be 86.12 and 21%, respectively, and an average particle size of 1.9 nm. The TAA-CQD aqueous solution displays excitation-dependent fluorescence emission in the excited range from 420 to 650 nm. The CIE co-ordinates in a highly blue region at (0.14, 0.19) confirmed the synthesised TAA-CQD were blue in fluorescent. Fluorescence of TAA-CQD was stable under all pH range, resisted the high ionic strengths condition and stable over 8 months. Furthermore, the fluorescent TAA-CQD was capable in detecting a tetracycline-classed antibiotic Doxycycline (DXY) along with remarkable selectivity and sensitivity. The measures limit of detection (LOD) was very low 2.42 mM in comparison to other methods. Moreover, the applicability of the proposed work has been fruitfully employed on the pharmaceutical waste. Thus, our designed TAA-CQD based fluorescence sensing system hold great promise for the advanced sensing materials in the detection of DXY and we believe that our approach will be promising and viable in a clinical applications.

The accurate detection of vital biomarkers such as Ascorbic Acid (AA), Uric Acid (UA) and Nitrite ( NO2 −) is crucial for human health surveillance. However, existing methods often struggle with concurrent detection and quantification of multiple species, highlighting the need for a more effective solution. To address this challenge, this study aimed to develop a multifunctional electrochemical sensor capable of parallel detection of AA, UA and NO2 − using a synergistic combination of Graphene Oxide (GO) and Cadmium Sulfide (CdS) materials. Notably, the fabricated CdS@GO/Glassy Carbon Electrode (GCE) exhibited exceptional electrochemical activity, as evidenced by Differential Pulse Voltammetry (DPV) analysis. The sensor demonstrated remarkable sensitivity (8.13, 10.12, and 9.05 μA·μM−1·cm−2) and ultra-low detection limits (0.034, 0.062, and 0.084 μM) for AA, UA and NO2 −, respectively. Furthermore, it successfully identified single molecules of each analyte in aqueous and biologic fluid samples, with recovery values comparable to those obtained using High-Performance Liquid Chromatography (HPLC) standard addition methods. The significance of this study lies in developing a novel CdS@ GO/GCE sensor that enables concurrent detection and quantification of multiple vital biomarkers, offering a promising tool for human health monitoring and diagnosis.

Nitrite is commonly found in various aspects of daily life, but its excessive intake poses health risks like blood oxygen transport impairment and cancer risks. Accurate detection of nitrite is crucial for preventing its potential harm and ensuring public health. In this work, Cu–Co bimetallic nanoparticles (NPs) incorporated nitrogen-doped carbon dodecahedron (Cu/ Co@N–C/CNTs-X, where X denotes the carbonization temperatures) are synthesized by facile carbonization of CuO@ZIF- 67 composites. Cu and Co NPs are uniformly embedded in the carbon dodecahedron decorated by carbon nanotubes (CNTs) without agglomeration. Combining the superior catalytic from Cu and Co NPs with the electrical conductivity and stability from the carbon frameworks, the Cu/Co@N–C/CNTs-600 composite as catalyst detected nitrite concentrations ranging from 1 to 5000 μM, with sensitivity values of 0.708 μA μM–1 cm– 2, and a detection limit of 0.5 μM. Moreover, this sensor demonstrated notable selectivity, stability and reproducibility. The design of Cu/Co@N–C/CNTs-X catalysts prepared in this study can be used as an attractive alternative in the fields of food quality and environmental detection.