https://scholar.korea.ac.kr/handle/2021.sw.korea/2315 2026-04-05T16:01:02Z https://scholar.korea.ac.kr/handle/2021.sw.korea/270776 Title: A 3D-printed smartphone-based platform for in-situ and rapid monitoring of aquaculture pathogens using polydimethylsiloxane (PDMS) microchip with multiplex loop-mediated isothermal amplification (M-LAMP) Authors: Li, Liyan; Fu, Jing; Ching Chiang, Elaine Li; Yoo, Jerald; Bae, Sungwoo Abstract: Aquaculture pathogens pose serious risks to aquatic livestock and global food safety. Key threats in shrimp farming include white spot syndrome virus (WSSV), Vibrio parahaemolyticus (causing acute hepatopancreatic necrosis disease, AHPND), and Enterocytozoon hepatopenaei (EHP). Rapid, on-site detection is critical for early detection and outbreak prevention. In this study, we developed a portable, smartphone-based diagnostic platform utilizing multiplex loop-mediated isothermal amplification (LAMP) for simultaneous detection of multiple pathogens in a single reaction. A PDMS microchip with 30 reaction wells (5 × 6 array) and a temperature control well was fabricated for efficient multiplexing. Immobilized LAMP reagents with freeze-drying lyophilization were preloaded into wells to streamline preparation and enhance stability. The system successfully identified both waterborne indicator bacteria (E. coli, E. faecalis, Salmonella) and major shrimp pathogens (WSSV, AHPND, EHP) in samples from Penaeus vannamei, Penaeus monodon, and aquaculture water. The microchip maintained stable isothermal conditions (65.1 ± 0.6 °C), enabling visual detection via color change at low DNA concentrations (as low as 4 copies/μL). All WSSV and EHP infections in shrimp tissues and water samples were correctly identified using LAMP reaction within 35 min (excluding the DNA extraction process), demonstrating 100% positive detection rates. The smartphone interface allowed real-time imaging and result interpretation, offering a rapid, user-friendly tool for in situ pathogen monitoring. This platform represents a practical, low-cost solution for field diagnostics and improved disease management in aquaculture. © 2025 The Authors 2025-09-01T00:00:00Z https://scholar.korea.ac.kr/handle/2021.sw.korea/270756 Title: Emerging biofouling control strategies in MBR systems: Quorum quenching, electrochemical methods, and mechanically imposed membrane shear Authors: Cayetano, Roent Dune A.; Bae, Sungwoo; Oh, Hyun-Suk Abstract: Membrane biofouling, the adhesion and growth of microorganisms on a membrane, leads to the deterioration of membrane quality and treatment efficiency in membrane bioreactors (MBRs) for wastewater treatment. To prevent such issues, specialized techniques are required to disrupt biofouling mechanisms efficiently. Specifically, key strategies include incorporating quorum quenching (QQ), electrochemistry, and mechanically imposed membrane shear (MIMS) into MBRs to enhance biofouling control and improve overall system performance. Herein, we provide an overview of the challenges associated with biofouling in MBRs and highlight the advancements made through the application of QQ, electrochemistry, and MIMS. The successful implementation of these techniques will revolutionize wastewater treatment and pave the way for more efficient and sustainable biofouling solutions for environmental remediation. 2025-05-01T00:00:00Z https://scholar.korea.ac.kr/handle/2021.sw.korea/270648 Title: A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks Authors: Jeong, ByeongChang; Lee, Yeon Ju; Han, Cheol E. Abstract: The COVID-19 outbreak has highlighted the importance of mathematical epidemic models like the Susceptible-Infected-Recovered (SIR) model, for understanding disease spread dynamics. However, enhancing their predictive accuracy complicates parameter estimation. To address this, we proposed a novel model that integrates traditional mathematical modeling with deep learning which has shown improved predicted power across diverse fields. The proposed model includes a simple artificial neural network (ANN) for regional disease incidences, and a graph convolutional neural network (GCN) to capture spread to adjacent regions. GCNs are a recent deep learning algorithm designed to learn spatial relationship from graph-structured data. We applied the model to COVID-19 incidences in Spain to evaluate its performance. It achieved a 0.9679 correlation with the test data, outperforming previous models with fewer parameters. By leveraging the efficient training methods of deep learning, the model simplifies parameter estimation while maintaining alignment with the mathematical framework to ensure interpretability. The proposed model may allow the more robust and insightful analyses by leveraging the generalization power of deep learning and theoretical foundations of the mathematical models. 2025-04-29T00:00:00Z https://scholar.korea.ac.kr/handle/2021.sw.korea/269319 Title: Bioinstructive scaffolds enhance stem cell engraftment for functional tissue regeneration Authors: Wu, Di; Eugenis, Ioannis; Hu, Caroline; Kim, Soochi; Kanugovi, Abhijnya; Yue, Shouzheng; Wheeler, Joshua R.; Fathali, Iman; Feeley, Sonali; Shrager, Joseph B.; Huang, Ngan F.; Rando, Thomas A. Abstract: Stem cell therapy is a promising approach for tissue regeneration after traumatic injury, yet current applications are limited by inadequate control over the fate of stem cells after transplantation. Here we introduce a bioconstruct engineered for the staged release of growth factors, tailored to direct different phases of muscle regeneration. The bioconstruct is composed of a decellularized extracellular matrix containing polymeric nanocapsules sequentially releasing basic fibroblast growth factor and insulin-like growth factor 1, which promote the proliferation and differentiation of muscle stem cells, respectively. When applied to a volumetric muscle loss defect in an animal model, the bioconstruct enhances myofibre formation, angiogenesis, innervation and functional restoration. Further, it promotes functional muscle formation with human or aged murine muscle stem cells, highlighting the translational potential of this bioconstruct. Overall, these results highlight the potential of bioconstructs with orchestrated growth factor release for stem cell therapies in traumatic injury. 2025-04-17T00:00:00Z