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IEEE International Conference on Teaching, Assessment and Learning for engineering (TALE)

作者： Kuntinee Maneeratana Peerapat Thongnuek Danupol Hoonsopon Suvanchai Pongsugitwat Charasphat Preuksarattanawut Nattaporn Tonanon Sirikanya Phongtongjalearn Department of Mechanical Engineering Chulalongkorn University Bangkok Thailand Interdisciplinary Program of Biomedical Engineering Chulalongkorn University Thailand Marketing Department Chulalongkorn Business School Chulalongkorn University Thailand Department of Metallurgical Engineering Chulalongkorn University Bangkok Thailand Department of Chemical Engineering Chulalongkorn University Bangkok Thailand Faculty of Engineering Chulalongkorn University Bangkok Thailand

This paper presented a learning model for product competitor analysis to first-year engineering students. Students were assigned to watch a video which contained an example before class. In a 45-minutes allotted class time, students were grouped, on-site or online, and assigned to complete an exercise on the product and direct competitor of their choice. The exercise focused on the 4Ps model for marketing implementation – product, price, place, and promotion – of the product and competitor and concluded with the strength, weakness, and unique value proposition of the product. The works were usually rough but acceptable. Students were generally satisfied and 86% found the exercise at least useful in the subsequent design thinking projects. In the future, the ChatGPT could be used to increase the working speed and, thus, reduced the most common complaint of insufficient time while increasing the work quality.

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Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses

arXiv

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arXiv 2025年

作者： Espinel-Ríos, Sebastián Avalos, José L. Chanona, Ehecatl Antonio del Rio Zhang, Dongda Biomedical Manufacturing Program Commonwealth Scientific and Industrial Research Organisation Clayton Australia Department of Chemical and Biological Engineering Princeton University Princeton United States Omenn-Darling Bioengineering Institute Princeton University Princeton United States The Andlinger Center for Energy and the Environment Princeton University Princeton United States High Meadows Environmental Institute Princeton University Princeton United States Department of Chemical Engineering Imperial College London London United Kingdom Department of Chemical Engineering University of Manchester Manchester United Kingdom

Efficient and robust bioprocess control is essential for maximizing performance and adaptability in advanced biotechnological systems. In this work, we present a reinforcement-learning framework for multi-setpoint and multi-trajectory tracking. Tracking multiple setpoints and time-varying trajectories in reinforcement learning is challenging due to the complexity of balancing multiple objectives, a difficulty further exacerbated by system uncertainties such as uncertain initial conditions and stochastic dynamics. This challenge is relevant, e.g., in bioprocesses involving microbial consortia, where precise control over population compositions is required. We introduce a novel return function based on multiplicative reciprocal saturation functions, which explicitly couples reward gains to the simultaneous satisfaction of multiple references. Through a case study involving light-mediated cybergenetic growth control in microbial consortia, we demonstrate via computational experiments that our approach achieves faster convergence, improved stability, and superior control compliance compared to conventional quadratic-cost-based return functions. Moreover, our method enables tuning of the saturation function’s parameters, shaping the learning process and policy updates. By incorporating system uncertainties, our framework also demonstrates robustness, a key requirement in industrial bioprocessing. Overall, this work advances reinforcement-learning-based control strategies in bioprocess engineering, with implications in the broader field of process and systems engineering. © 2025, CC BY.

关键词： Trajectories

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HIGH-SPEED DROPLET SQUEEZING FOR T-CELL engineering 25

HIGH-SPEED DROPLET SQUEEZING FOR T-CELL ENGINEERING

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25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Kim, You-Jeong Lee, Ha-Sung Chung, Aram Department of Chemical and Biological Engineering Sookmyung Women's University Seoul Korea Republic of School of Biomedical Engineering Korea University Seoul Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Korea Republic of

ISBN: (纸本)9781733419031

A novel droplet-based intracellular delivery platform is presented leveraging droplet microfluidics with mechanical cell permeabilization. A single cell and cargos were encapsulated in a droplet using a flow focusing device. Then, the droplet was accelerated by the sheath flow and passed through a single constriction at high speed, creating membrane discontinuities that facilitate the convective transport of biomolecules into the cell. Using this principle, the cell mechanoporation was achieved in a controlled and reproducible manner, allowing highly efficient, and dosage-controllable with substantially lower analyte amounts. The approach also enables vector-free delivery while maintaining high cell integrity without channel clogging. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： Cell engineering

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Marine macro-litter sources and ecological impact: a review

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Environmental Chemistry Letters 2024年第3期22卷 1257-1273页

作者： Le, Van-Giang Nguyen, Hoang-Lam Nguyen, Minh-Ky Lin, Chitsan Hung, Nguyen T. Quang Khedulkar, Akhil P. Hue, Nguyen K. Trang, Phung T. Thu Mungray, Arvind Kumar Nguyen, D. Duc Central Institute for Natural Resources and Environmental Studies Vietnam National University Hanoi111000 Viet Nam Department of Civil Engineering McGill University MontrealQC Canada Faculty of Environment and Natural Resources Nong Lam University Hamlet 6 Linh Trung Ward Thu Duc City Ho Chi Minh City700000 Viet Nam Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Department of Biomedical Engineering and Environmental Science National Tsing Hua University Hsinchu30013 Taiwan Environmental Research Center Institute of Hydrology and Meteorology Science and Climate Change Hanoi111000 Viet Nam Department of Chemical Engineering Sardar Vallabhbhai National Institute of Technology Gujarat Surat395007 India Department of Civil and Energy System Engineering Kyonggi University Suwon16227 Korea Republic of Institute of Applied and Sustainable Technology Nguyen Tat Thanh University Ho Chi Minh City700000 Viet Nam

Marine pollution by various debris is rising in the context of increasing urbanization, industrialization and worldwide trade. Here, we review marine macro-litter with focus on sources, abundance, distribution, and impact on aquatic wildlife, human health, and the economy. We observe that about 75–80% of marine litter originates from land-based sources, including poorly managed landfills and improper disposal. Macro-litter ingestion by marine life is of growing concern, in particular concerning the presence of plastics and associated pollutants, e.g., bisphenol A and phthalates, in fishes. These pollutants are accumulated and transferred to human via seafood. Marine plastic pollution induces a substantial rise of economic costs due to the decline of ecosystem services. Mitigation of marine plastic pollution should be done by following the ten Rs principles of refuse, rethink, reduce, re-use, repair, refurbish, remanufacture, repurpose, recycle, and recover. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

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Development of ternary hybrid composites of transition metal and noble metal-based heterostructures: Ultrasensitive simultaneous electrochemical detection of bisphenol A and bisphenol S in food samples

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Food Chemistry 2024年 459卷 140451页

作者： Nandhini, Chinnathambi Huang, Chi-Hsien Mani, Govindasamy Arul, Ponnusamy Huang, Sheng-Tung Department of Materials Engineering Ming Chi University of Technology New Taipei City24303 Taiwan Center for Plasma and Thin Film Technologies Biochemical Technology R&D Center Ming Chi University of Technology New Taipei City243303 Taiwan College of Engineering Chang Gung University Taoyuan City33302 Taiwan International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City243301 Taiwan Institute of Biochemical and Biomedical Engineering Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei10608 Taiwan

Bisphenols threaten human health and sensitive detection is crucial. The present study aims to develop ternary composites of copper metal-organic framework (Cu-MOF) with Au[sbnd]Ag microstructures. The composite structure was formed by a galvanic displacement reaction and confirmed using SEM. A binder-free catalyst was used to study the electrochemical redox reaction of bisphenol A (BPA) and bisphenol S (BPS);an irreversible cyclic voltammetric signal at +0.70 V and + 0.91 V (vs. Ag/AgCl), in the dynamic range of 20 nM to 2.0 mM, and 10 nM to 1.0 mM, with limits of detection of 2.9 nM, and 3.2 nM (S/N = 3) was obtained. Practical analysis was applied to frozen tomatoes, tuna fish, milk powder, PET bottles, raw milk, and urine samples with a recovery rate of 94.00–100.80% (n = 3). Voltammetric results were validated using HPLC detection with high precision. The sensor is a promising alternative platform for measuring BPA in food samples. © 2024

关键词： Phenols

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Emerging Neuroimaging Approach of Hybrid EEG-fNIRS Recordings: Data Collection and Analysis Challenges

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Data Science in Science 2024年第1期3卷

作者： Pinto-Orellana, Marco Antonio Khan, Haroon Ombao, Hernando Mirtaheri, Peyman Biomedical Engineering Department University of California Irvine Irvine CA United States Department of Mechanical Electronics and Chemical Engineering Oslomet–Oslo Metropolitan University Oslo Norway Statistics Program King Abdullah University of Science and Technology Thuwal Saudi Arabia

The hybrid EEG-fNIRS (electroencephalogram - functional near-infrared spectroscopy) modality provides a comprehensive understanding of brain activity by simultaneously capturing electrical and hemodynamic responses. It takes advantage of the temporal resolution in EEG with the good spatial resolution of fNIRS. This hybrid system is non-invasive, portable, and relatively affordable compared to functional magnetic resonance imaging (fMRI). Despite its inherent limitations, EEG-fNIRS systems can be a valuable tool in neuroimaging, suitable for cognitive and clinical research that requires temporal and spatial information about brain function. They are well-suited in naturalistic experimental settings, brain-computer interface applications, and disease diagnosis. This paper also explores electro-metabolic interactions in the motor cortex during left- and right-hand grip tasks. We analyzed cross-frequency coupling (CFC) between delta rhythms (0–4Hz) and oxyhemoglobin (HbO) and deoxyhemoglobin (HbR) concentrations calculated from fNIRS. CFC was estimated as the correlation between HbO, HbR, and the instantaneous amplitude of delta signals. CFC cannot be studied with non-synchronous measurements and is not directly related to activation amplitudes. Based on previous fMRI-EEG studies, some categories of oscillations denote a negligible correlation with fNIRS signals. However, our results showed a contra-lateral coupling between delta-EEG and HbO with significant pattern differences in the left motor cortex. © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.

关键词： cross-frequency coupling data pre-processing electrical-hemodynamic coupling Hybrid EEG-fNIRS statistical modeling synchronization

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Synergistic Polydopamine/Graphene Oxide Hybrids: Elevating Electrochemical Performance

ACS Electrochemistry

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ACS Electrochemistry 2025年第4期1卷 453-464页

作者： Busra Ozlu Saimon Moraes Silva Simon E. Moulton Bong Sup Shim Program in Biomedical Science & Engineering Inha University 100 Inha-ro Michuhol-gu Incheon 22212 Republic of Korea Department of Biochemistry and Chemistry La Trobe Institute for Molecular Science The Biomedical and Environmental Sensor Technology (BEST) Research Centre La Trobe University Melbourne Victoria 3086 Australia ARC Centre of Excellence for Electromaterials Science Faculty of Science Engineering and Technology Swinburne University of Technology Hawthorn Victoria 3122 Australia；Aikenhead Centre for Medical Discovery St Vincent’s Hospital Melbourne Melbourne Victoria 3065 Australia；Iverson Health Innovation Research Institute Swinburne University of Technology Melbourne Victoria 3122 Australia Program in Biomedical Science & Engineering Inha University 100 Inha-ro Michuhol-gu Incheon 22212 Republic of Korea；Department of Chemical Engineering Inha University 100 Inha-ro Michuhol-gu Incheon 22212 Republic of Korea

Melanin, a natural biopolymer with a conjugated backbone, stands out as a promising candidate for bioelectronics owing to its redox activity, metal ion chelation, hydration-dependent electrical response, wet adhesion, potential electronic transport, anti-inflammatory properties, and excellent thermal stability. In this study, we explore the impact of hybridizing liquid crystalline graphene oxide (LCGO) into the conductive melanin-like polymer polydopamine (PDA) on the morphology, stability, and synergistic electrochemical performance. Our findings reveal that the gold electrode coated with PDA:LCGO composites exhibit more than two orders of magnitude lower impedance and more than 100 times higher charge storage capacity compared to both bare gold electrodes and those coated with pure PDA. Furthermore, we demonstrate that the morphology and the electrode performance could be tuned by adjusting the synthesis parameters in the PDA:LCGO electrochemical deposition. This PDA:LCGO composite, with its superior electrochemical performance, holds promise for diverse bioelectronics applications ranging from biosensors to implantable bionic interfaces.

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Two-dimensional diffusiophoretic colloidal banding: Optimizing the spatial and temporal design of solute sinks and sources

arXiv

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arXiv 2022年

作者： Raj, Ritu R. Shields, C. Wyatt Gupta, Ankur Department of Chemical and Biological Engineering University of Colorado BoulderCO80303 United States Biomedical Engineering Program University of Colorado Boulder BoulderCO80303 United States

Diffusiophoresis refers to the phenomenon where colloidal particles move in response to solute concentration gradients. Existing studies on diffusiophoresis, both experimental and theoretical, primarily focus on the movement of colloidal particles in response to one-dimensional solute gradients. In this work, we numerically investigate the impact of two-dimensional solute gradients on the distribution of colloidal particles, i.e., colloidal banding, induced via diffusiophoresis. The solute gradients are generated by spatially arranged sources and sinks that emit/absorb a time-dependent solute molar rate. First we study a dipole system, i.e., one source and one sink, and discover that interdipole diffusion and molar rate decay timescales dictate colloidal banding. At timescales shorter than the interdipole diffusion timescale, we observe a rapid enhancement in particle enrichment around the source due to repulsion from the sink. However, at timescales longer than the interdipole diffusion timescale, the source and sink screen each other, leading to a slower enhancement. If the solute molar rate decays at the timescale of interdipole diffusion, an optimal separation distance is obtained such that particle enrichment is maximized. We find that the partition coefficient of solute at the interface between the source and bulk strongly impacts the optimal separation distance. Surprisingly, the diffusivity ratio of solute in the source and bulk has a much weaker impact on the optimal dipole separation distance. We also examine an octupole configuration, i.e., four sinks and four sources, arranged in a circle, and demonstrate that the geometric arrangement that maximizes enrichment depends on the radius of the circle. If the radius of the circle is small, it is preferred to have sources and sinks arranged in an alternating fashion. However, if the radius of the circle is large, a consecutive arrangement of sources and sinks is optimal. Our numerical framework introduces a no

关键词： Diffusion

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Title: Challenges in single cells sequencing Microbial community and biofilm: A case of Oleidesulfovibrio alaskensis G20 NGS protocol

Title: Challenges in single cells sequencing Microbial commu...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Ram Nageena Singh Etienne Z. Gnimpieba Rajesh Kumar Sani Chemical and Biological Engineering South Dakota School of Mines and Technology Rapid City USA Gear Center Biomedical Engineering Program University of South Dakota Sioux Falls USA

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

Biofilm, is a special-complex organization of bacterial cells with multiple layers, formed in certain environmental conditions. In the complex biofilm different bacterial (single) cells perform different functions and contribute to overall biofilm activity, where single bacterial cells are in different physiological states of growth, stress and signaling. Sulphate reducing bacteria (SRB) contributes to huge economic loss (${\$}$4B) causing microbial induced corrosion. To effectively combat the challenges posed by SRB, it is essential to understand their molecular mechanisms of biofilm formation and biocorrosion. Single Cell Genomics (single cell transcriptomics) is a technique which investigates the gene expression at the level of a single biological cell and could not be attainable in bulk analysis (RNASeq) could decipher the uniqueness of each cell in complex group. We are developing a NGS (oxford Nanopore)-workflow for single cell transcriptomics of biofilms using Oleidesulfovibrio alaskensis (earlier Desulfovibrio alaskensis) strain G20 (OA-G20) as a model. We encountered several challenges to design and develop the workflow such 1) absence of ploy(A) tail in mRNAs, 2) amount of total RNA, 3) half-lives of mRNAs, 4) perforation of cell membrane, 5) low copy number of mRNAs, 6) single cell suspension and cell sorting, 7) quantification of bacterial cells, 8) fixation of cells, 9) designing of probes, 10) hybridization of probes and 11) amplification of mRNAs. Here, we are presenting how we resolved some of these challenges to design and develop a single cell genomics (transcriptomics) workflow for SRB biofilms.

关键词： Sequential analysis Microorganisms Genomics Cells (biology) Tail Bioinformatics Probes

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Correction: Materials laboratories of the future for alloys, amorphous, and composite materials (MRS Bulletin, (2025), 50, 2, (190-207), 10.1557/s43577-024-00846-y)

引用

MRS Bulletin 2025年 1-2页

作者： Banerjee, Sarbajit Meng, Y. Shirley Minor, Andrew M. Zhang, Minghao Zaluzec, Nestor J. Chan, Maria K.Y. Seidler, Gerald McComb, David W. Agar, Joshua Mukherjee, Partha P. Melot, Brent Chapman, Karena Guiton, Beth S. Klie, Robert F. McCue, Ian D. Voyles, Paul M. Robertson, Ian Li, Ling Chi, Miaofang Destino, Joel F. Devaraj, Arun Marquis, Emmanuelle A. Segre, Carlo U. Liu, Huinan H. Yang, Judith C. Momeni, Kasra Misra, Amit Abdolrahim, Niaz Medvedeva, Julia E. Cai, Wenjun Sehirlioglu, Alp Dizbay-Onat, Melike Mehta, Apurva Graham-Brady, Lori Maruyama, Benji Rajan, Krishna Warner, Jamie H. Taheri, Mitra L. Kalinin, Sergei V. Reeja-Jayan, B. Schwarz, Udo D. Simon, Sindee L. Brown, Craig M. Department of Chemistry and Department of Materials Science & Engineering Texas A & M University College Station United States Pritzker School of Molecular Engineering The University of Chicago Chicago United States Department of Materials Science & Engineering University of California Berkeley Berkeley United States National Center for Electron Microscopy Molecular Foundry Lawrence Berkeley National Laboratory Berkeley United States Center for Nanoscale Materials Argonne National Laboratory Lemont United States Department of Physics University of Washington Seattle United States Department of Materials Science & Engineering The Ohio State University Columbus United States Department of Mechanical Engineering and Mechanics Drexel University Philadelphia United States School of Mechanical Engineering Purdue University West Lafayette United States Department of Chemistry University of Southern California Los Angeles United States Department of Chemistry Stony Brook University The State University of New York Stony Brook United States Department of Chemistry University of Kentucky Lexington United States Department of Physics University of Illinois at Chicago Chicago United States Department of Materials Science & Engineering Northwestern University Evanston Bangladesh Department of Materials Science & Engineering University of Wisconsin–Madison Madison United States Department of Materials Science and Engineering University of Pennsylvania Philadelphia United States Department of Mechanical Engineering and Materials Science Duke University Durham United States Department of Chemistry Creighton University Omaha United States Physical and Computational Sciences Directorate Pacific Northwest National Laboratory Richland United States Department of Materials Science & Engineering University of Michigan–Ann Arbor Ann Arbor United States Department of Physics Illinois Institute of Technology Chicago United States Department of Bioengineering and the Mater

This article was updated to correct Minghao Zhang’s affiliation from "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA" to "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA;Argonne National Laboratory, Lemont, USA." Argonne National Laboratory was left off the original publication. © The Author(s) 2025.

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