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Agar-altered foaming bacterial cellulose with carvacrol for active food packaging applications

Food Packaging and Shelf Life 2024年 42卷

作者： Kusuma, Anita Chandra Chou, Yu-Chieh Hsieh, Chen-Che Santoso, Shella Permatasari Go, Alchris Woo Lin, Hong-Ting Victor Hsiao, I.-Lun Lin, Shin-Ping Master Program in Food Safety Taipei Medical University 250 Wu-Hsing Street Taipei 11031 Taiwan Ph.D. Program in Drug Discovery and Development Industry Taipei Medical University 250 Wu-Hsing Street Taipei 11031 Taiwan Institute of Biotechnology National Taiwan University 1 Roosevelt Rd. Section 4 Taipei 10617 Taiwan Department of Chemical Engineering Widya Mandala Surabaya Catholic University Kalijudan 37 Surabaya 60114 Indonesia Department of Chemical Engineering National Taiwan University of Science and Technology 43 Keelung Road Section 4 Taipei 10607 Taiwan Department of Food Science National Taiwan Ocean University No. 2 Pei-Ning Road Keelung 20224 Taiwan School of Food Safety Taipei Medical University 250 Wu-Hsing Street Taipei 11031 Taiwan TMU Research Center for Digestive Medicine Taipei Medical University 250 Wu-Hsing Street Taipei 11031 Taiwan Research Center of Biomedical Device Taipei Medical University 250 Wu-Hsing Street Taipei 11031 Taiwan

Bacterial cellulose (BC) is a biodegradable nanoscale film produced by microorganisms, which possesses great mechanical properties and biocompatibility. In this study, we produced foaming BC (FBC) utilizing foam medium with different concentrations of agar. In addition, carvacrol was loaded into the agar/FBC to establish active packaging material. Evaluation by characterization tests indicated that agar/FBC provided lower crystallinity (59.8%∼71.4%) and a high swelling ability (94.7%∼97.9%) compared to BC (92.2% and 96.1%). The 1.5% agar/FBC with carvacrol group exhibited the significantly highest antimicrobial properties against Escherichia coli and Staphylococcus aureus. Moreover, release measurements showed that greater agar addition contributed to higher protein and carvacrol release extents out of the film. Finally, a sea bass packaging test indicated that carvacrol with 1.5% agar/FBC presented a higher antimicrobial ability against Shewanella putrefaciens, great inhibition of lipid oxidation (67.5%), and a slower spoilage degree (49.8%) which suggested that agar/FBC with carvacrol has potential for active food packaging. © 2024 Elsevier Ltd

关键词： Agar Bacterial cellulose Carvacrol Foaming bacterial cellulose Food packaging Sea bass

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Recent Advancements in engineering Strategies for Manipulating Neural Stem Cell Behavior

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Current tissue microenvironment reports 2020年第2期1卷 41-47页

作者： Brian J O'Grady Ethan S Lippmann Department of Chemical and Biomolecular Engineering Vanderbilt University Nashville TN USA. Department of Biomedical Engineering Vanderbilt University Nashville TN USA. Vanderbilt Brain Institute Vanderbilt University Nashville TN USA. Interdisciplinary Materials Science Program Vanderbilt University Nashville TN USA.

PURPOSE OF REVIEW:Stem cells are exquisitely sensitive to biophysical and biochemical cues within the native microenvironment. This review focuses on emerging strategies to manipulate neural cell behavior using these influences in three-dimensional (3D) culture systems. RECENT FINDINGS:Traditional systems for neural cell differentiation typically produce heterogeneous populations with limited diversity rather than the complex, organized tissue structures observed . Advancements in developing engineering tools to direct neural cell fates can enable new applications in basic research, disease modeling, and regenerative medicine. SUMMARY:This review article highlights engineering strategies that facilitate controlled presentation of biophysical and biochemical cues to guide differentiation and impart desired phenotypes on neural cell populations. Specific highlighted examples include engineered biomaterials and microfluidic platforms for spatiotemporal control over the presentation of morphogen gradients.

关键词： biomaterial morphogen gradient neural stem cell stem cell differentiation

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Modeling and control of subcritical coal-fired power plant components for fault detection

Modeling and control of subcritical coal-fired power plant c...

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2019 Canadian Society for Civil engineering Annual Conference, CSCE 2019

作者： Agbleze, Selorme Lima, Fernando V. Pezzini, Paolo Bonilla-Alvarado, Harry Bryden, Kenneth M. Indrawan, Natarianto Panday, Rupendranath Tucker, David Shadle, Lawrence J. Department of Chemical and Biomedical Engineering West Virginia University MorgantownWV26506 United States Simulation and Decision Science Program Ames Laboratory AmesIA50011 United States Leidos Research Support Team U.S. Department of Energy National Energy Technology Laboratory 3610 Collins Ferry Road MorgantownWV26507 United States

ISBN: (纸本)9780791883747

Due to the increased penetration of renewable power sources into the electric grid, the current number of existing coalfired power plants shifting from baseload to load-following operations has also increased. This shift creates challenges especially for the power industry as coal-fired power plants were not designed for ramping situations, leading to added stress on major components of these plants. This stress causes the system to degrade over time and eventually develop faults. As boilers are still the primary component that fails and causes forced outages, accurate characterization of faults and fractures of boilers is now becoming increasingly critical to reduce plant downtime and extend the plant life during cycling operations. This work focuses on modeling sections of a subcritical coalfired power plant and proposes algorithms for fault detection in MATLAB/Simulink. The developed model simulates the process dynamics including steam and feedwater flow regulating valves, drum-boiler, and heat rate on the regulation of pressure, drum level and production of saturated steam. The model also simulates the dynamics of superheaters for increasing the energy content of steam, and a spray section for regulating the temperature of steam upstream of the high-pressure turbine to allow for power output adjustment within a given valve operating range. Furthermore, an extension to a leak detection framework proposed by co-authors in previous work is explored. The new framework includes a modification to the threshold analysis portion of the previous work. The extended framework is then applied to a subcritical coal-fired power plant model for leak detection. In particular, this framework analyzes mismatches or deviations in expected plant dynamics with an identified transfer function model. The mismatch is flagged after it exceeds a threshold. The developed algorithm thus aids in rapid detection of faults to reduce impeded plant performance. The results of this work will sup

关键词： Coal fired power plant

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Corrigendum to "Extracellular vesicles from human adipose-derived stem cell spheroids: Characterization and therapeutic implications in diabetic wound healing" [Mater. Today Bio Volume 29, December 2024, 101333](S2590006424003946)(10.1016/***.2024.101333)

Materials Today Bio

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Materials Today Bio 2025年 32卷

作者： Quiñones, Edgar Daniel Wang, Mu-Hui Liu, Kuan-Ting Lu, Ting-Yu Lan, Guan-Yu Lin, Yu-Ting Chen, Yu-Liang Shen, Tang-Long Wu, Pei-Hsun Hsiao, Yu-Sheng Chuang, Er-Yuan Yu, Jiashing Cheng, Nai-Chen Taiwan International Graduate Program Sustainable Chemical Science & Technology Academia Sinica Institute of Chemistry Taipei115 Taiwan Department of Surgery National Taiwan University Hospital and College of Medicine Taipei100 Taiwan Department of Chemical Engineering National Taiwan University Taipei10617 Taiwan Program in Materials Science and Engineering University of California San Diego CA92093 United States Department of Plant Pathology & Microbiology National Taiwan University Taiwan Johns Hopkins Institute for NanoBioTechnology John Hopkins University Baltimore MD21218 United States Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei106 Taiwan School of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Research Center for Developmental Biology and Regenerative Medicine National Taiwan University Taipei Taiwan

The authors regret that the selected Figure 2A, depicting cell sheets and spheroids, was previously published in Stem Cell Research & Therapy (2022;13:276. https://***/10.1186/s13287-022-02948-3). This duplication was an unintentional oversight, as the image was included solely for illustrative purposes and does not contribute to any quantitative analysis. We sincerely apologize for this mistake and propose the following corrections: 1. Replacing Figure 2A with a new image as below that does not overlap with our previously published work.2. Including a correction statement clarifying that the image serves only an illustrative function and does not affect the study's quantitative ***, we have identified an error in Section 3.3 of the text, where "SEM" should be corrected to "TEM." We appreciate your consideration of these revisions and apologize for any confusion caused. The authors would like to apologize for any inconvenience caused. Your sincerely, Jiashing Yu and Nai-Chen Cheng Fixed Figure 2A[Figure presented] © 2025 The Author(s)

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Singlet Oxygen Generation in Dark-Hypoxia by Catalytic Microenvironment-Tailored Nanoreactors for NIR-II Fluorescence-Monitored Chemodynamic Therapy

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Angewandte Chemie (International ed. in English) 2021年第27期60卷 15006-15012页

作者： Tao Chen Peidong Hou Yafei Zhang Rujiang Ao Lichao Su Yifan Jiang Yuanli Zhang Huilan Cai Jun Wang Qiushui Chen Jibin Song Lisen Lin Huanghao Yang Xiaoyuan Chen MOE Key Laboratory for Analytical Science of Food Safety and Biology College of Chemistry Fuzhou University Fuzhou 350108 China. Departments of Diagnostic Radiology Chemical and Biomolecular Engineering and Biomedical Engineering Yong Loo Lin School of Medicine and Faculty of Engineering National University of Singapore Singapore 117597 Singapore. Clinical Imaging Research Centre Centre for Translational Medicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117599 Singapore. Nanomedicine Translational Research Program NUS Center for Nanomedicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117597 Singapore.

Singlet oxygen ( O ) has a potent anticancer effect, but photosensitized generation of O is inhibited by tumor hypoxia and limited light penetration depth. Despite the potential of chemodynamic therapy (CDT) to circumvent these issues by exploration of O -producing catalysts, engineering efficient CDT agents is still a formidable challenge since most catalysts require specific pH to function and become inactivated upon chelation by glutathione (GSH). Herein, we present a catalytic microenvironment-tailored nanoreactor (CMTN), constructed by encapsulating MoO catalyst and alkaline sodium carbonate within liposomes, which offers a favorable pH condition for MoO -catalyzed generation of O from H O and protects MoO from GSH chelation owing to the impermeability of liposomal lipid membrane to ions and GSH. H O and O can freely cross the liposomal membrane, allowing CMTN with a built-in NIR-II ratiometric fluorescent O sensor to achieve monitored tumor CDT.

关键词： NIR-II ratiometric fluorescence catalytic microenvironment chemodynamic therapy nanoreactors singlet oxygen

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On sparse identification of complex dynamical systems: a study on discovering influential reactions in chemical reaction networks

arXiv

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arXiv 2020年

作者： Harirchi, Farshad Kim, Doohyun Khalil, Omar Liu, Sijia Elvati, Paolo Baranwal, Mayank Hero, Alfred Violi, Angela Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109–2125 United States Department of Mechanical Engineering University of Michigan Ann ArborMI48109–2125 United States Departments of Chemical Engineering Biomedical Engineering Macromolecular Science and Engineering Biophysics Program University of Michigan Ann ArborMI48109–2125 United States

A wide variety of real life complex networks are prohibitively large for modeling, analysis and control. Understanding the structure and dynamics of such networks entails creating a smaller representative network that preserves its relevant topological and dynamical properties. While modern machine learning methods have enabled identification of governing laws for complex dynamical systems, their inability to produce white-box models with sufficient physical interpretation renders such methods undesirable to domain experts. In this paper, we introduce a hybrid black-box, white-box approach for the sparse identification of the governing laws for complex, highly coupled dynamical systems with particular emphasis on finding the influential reactions in chemical reaction networks for combustion applications, using a data-driven sparse-learning technique. The proposed approach identifies a set of influential reactions using species concentrations and reaction rates, with minimal computational cost without requiring additional data or simulations. The new approach is applied to analyze the combustion chemistry of H2 and C3H8 in a constant-volume homogeneous reactor. The influential reactions determined by the sparse-learning method are consistent with the current kinetics knowledge of chemical mechanisms. Additionally, we show that a reduced version of the parent mechanism can be generated as a combination of the significantly reduced influential reactions identified at different times and conditions and that for both H2 and C3H8 fuel, the reduced mechanisms perform closely to the parent mechanisms as a function of the ignition delay time over a wide range of conditions. Our results demonstrate the potential of the sparse-learning approach as an effective and efficient tool for dynamical system analysis and reduction. The uniqueness of this approach as applied to combustion systems lies in the ability to identify influential reactions in specified conditions and times dur

关键词： Learning systems

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Corrigendum to "miR-29a-3p-dependent COL3A1 and COL5A1 expression reduction assists sulforaphane to inhibit gastric cancer progression" [Biochem. Pharmacol. 188 (2021) 114539]

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Biochemical pharmacology 2023年 208卷 115389页

作者： Sichong Han Zhe Wang Jining Liu Hui-Min David Wang Qipeng Yuan State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Beijing 100029 PR China. Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung City 402 Taiwan Department of Medical Laboratory Science and Biotechnology China Medical University Taichung City 404 Taiwan Graduate Institute of Medicine College of Medicine Kaohsiung Medical University Kaohsiung City 807 Taiwan College of Food and Biological Engineering Jimei University Xiamen City 361021 Fujia Province PR China Undergraduate Program Study of Biomedical Engineering Physics Department Airlangga University Surabaya City 60115 Indonesia. Electronic address: davidw@dragon.nchu.edu.tw. State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical Technology Beijing 100029 PR China. Electronic address: yuanqp@***.

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Carboxylesterase Activatable Molecular Probe for Personalized Treatment Guidance by Analyte-Induced Molecular Transformation

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Angewandte Chemie 2024年第31期136卷

作者： Dr. Benhao Li Hengke Liu Dr. Mengyao Zhao Dr. Xinming Zhang Prof. Peng Huang Prof. Xiaoyuan Chen Prof. Jing Lin Marshall Laboratory of Biomedical Engineering International Cancer Center Laboratory of Evolutionary Theranostics (LET) School of Biomedical Engineering Shenzhen University Medical School Shenzhen University Shenzhen 518055 China Departments of Diagnostic Radiology Surgery Chemical and Biomolecular Engineering and Biomedical Engineering Yong Loo Lin School of Medicine and Faculty of Engineering National University of Singapore Singapore 119074 Singapore Clinical Imaging Research Centre Centre for Translational Medicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117599 Singapore Nanomedicine Translational Research Program NUS Centre for Nanomedicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117597 Singapore Theranostics Center of Excellence (TCE) Yong Loo Lin School of Medicine National University of Singapore 11 Biopolis Way Helios Singapore 138667 Institute of Molecular and Cell Biology Agency for Science Technology and Research (A*STAR) Singapore 138673 Singapore

Accurate visualization of tumor microenvironment is of great significance for personalized medicine. Here, we develop a near-infrared (NIR) fluorescence/photoacoustic (FL/PA) dual-mode molecular probe (denoted as NIR−CE) for distinguishing tumors based on carboxylesterase (CE) level by an analyte-induced molecular transformation (AIMT) strategy. The recognition moiety for CE activity is the acetyl unit of NIR−CE, generating the pre-product, NIR−CE−OH, which undergoes spontaneous hydrogen atom exchange between the nitrogen atoms in the indole group and the phenol hydroxyl group, eventually transforming into NIR−CE−H. In cellular experiments and in vivo blind studies, the human hepatoma cells and tumors with high level of CE were successfully distinguished by both NIR FL and PA imaging. Our findings provide a new molecular imaging strategy for personalized treatment guidance.

关键词： molecular probe FL/PA imaging stratification cancer types analyte-induced molecular transformation

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Corrigendum to “Metal ratio and bimetal nanoarchitectonics of ammonia-based fluoride complex induced nickel hydroxide and manganese oxide composites as active materials of an energy storage device” [J. Energy Storage 80 (2024) 110316]

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Journal of Energy Storage 2025年 108卷

作者： Chuan-Chih Hsu You Zher Yu Chung-Hsien Wu Pin-Yan Lee Hung-Ming Chen Sadang Husain Chutima Kongvarhodom Yu-Cheng Hsiao Lu-Yin Lin Division of Cardiovascular Surgery Department of Surgery School of Medicine College of Medicine Taipei Medical University Taiwan Division of Cardiovascular Surgery Department of Surgery Taipei Medical University Hospital Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Gingen Technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei 11054 Taiwan Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin 70124 Indonesia Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok 10140 Thailand Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei 11696 Taiwan International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan Stanford Byers Center for Biodesign Stanford University CA 94305-5428 USA Graduate Institute of Biomedical Optomechatronics College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan

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Quantitative perfusion measurements based on doppler OCT and OCT angiography

Quantitative perfusion measurements based on doppler OCT and...

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Optical Coherence Tomography, OCT 2020

作者： Schmetterer, Leopold Werkmeister, Rene M. Wong, Damon Wing Kee Tan, Bingyao Yao, Xinwen Chua, Jacqueline Garhofer, Gerhard Singapore Singapore Eye Research Institute Singapore National Eye Centre Singapore Academic Clinical Program Duke-NUS Medical School Singapore Department of Ophthalmology Yong Loo Lin School of Medicine National University of Singapore Singapore Yong Loo Lin School of Medicine National University of Singapore Singapore School of Chemical and Biomedical Engineering Nanyang Technological University Singapore Singapore Department of Clinical Pharmacology Medical University of Vienna Austria Center for Medical Physics and Biomedical Engineering Medical University of Vienna Austria Institute of Ophthalmology Basel Switzerland NTU Institute of Health Technologies Singapore

Doppler OCT and OCT Angiography meet both opportunities and challenges in clinics. Selection of imaging modalities and quantification method can potentially affect the results and possibly diseases diagnostics. ©... 详细信息

ISBN: (纸本)9781943580743

关键词： Angiography

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