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Unprecedented anti-inflammatory biscembranoids with 3-hydroperoxy-3-methylcyclohex-1-ene moiety isolated from aquaculture Sarcophyton trocheliophorum

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Aquaculture Reports 2023年 33卷

作者： Peng, Bo-Rong Nguyen, Ngoc Bao An Chen, Lo-Yun El-Shazly, Mohamed Hwang, Tsong-Long Su, Jui-Hsin Lai, Kuei-Hung Graduate Institute of Pharmacognosy College of Pharmacy Taipei Medical University Taipei 11031 Taiwan PhD Program in Clinical Drug Development of Herbal Medicine College of Pharmacy Taipei Medical University Taipei 11031 Taiwan Department of Pharmacognosy Faculty of Pharmacy Ain-Shams University Organization of African Unity Street Cairo Abassia 11566 Egypt Research Center for Chinese Herbal Medicine College of Human Ecology Chang Gung University of Science and Technology Taoyuan 33303 Taiwan Graduate Institute of Health Industry Technology College of Human Ecology Chang Gung University of Science and Technology Taoyuan 33303 Taiwan Department of Anaesthesiology Chang Gung Memorial Hospital Taoyuan 33305 Taiwan Graduate Institute of Natural Products College of Medicine Chang Gung University Taoyuan 33302 Taiwan Department of Chemical Engineering Ming Chi University of Technology New Taipei City 24301 Taiwan National Museum of Marine Biology & Aquarium Pingtung 94450 Taiwan Department of Marine Biotechnology and Resources National Sun Yat-sen University Kaohsiung 80424 Taiwan Traditional Herbal Medicine Research Center Taipei Medical University Hospital Taipei 11031 Taiwan

Recent advancements in the discovery of natural products have made significant progress in rapidly identifying known compounds from complex extracts using advanced spectroscopic technologies. Among these methods, one powerful approach called MS/MS molecular networking (MN) organizes chemical similarity based on MS/MS fragmentation data, serving as a valuable complement to traditional dereplication strategies. In our ongoing research focused on lead discovery from a sustainable medicinal source, an aquaculture soft coral Sarcophyton trocheliophorum, the MN profiling approach revealed the chemical diversity of biscembranoid analogs. By analyzing the MN pattern, biscembranoid derivatives with unique MS/MS fragments were prioritized for further investigation. Two novel biscembranoids, sarcotroxide A (1) and B (2), were successfully obtained through targeted isolation. These novel biscembranes contained an unprecedented 3-hydroperoxy-3-methylcyclohex-1-ene moiety compared with all biscembranoid analogs. The chemical structures of the two new biscembranoids were confirmed through spectroscopic analyses and in silico calculations. Their anti-inflammatory properties were assessed against the generation of superoxide anion (O₂^•−) and elastase release in activated human neutrophils. Sarcotroxides A (1) and B (2) exhibited anti-inflammatory activity by inhibiting O₂^•− accumulation (with 43.67% and 61.62% inhibition) and elastase release (with 38.21% and 61.62% inhibition) at 10 µM. These findings validated the potential of these biscembranoids from the cultured S. trocheliophorum as promising candidates for the future development of anti-inflammatory agents specifically designed to target neutrophils. © 2023 The Authors

关键词： Anti-inflammation Aquaculture soft coral Biscembranoid Neutrophil Sarcophyton trocheliophorum

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Biogas Productivity as Renewable Energy and Performance of Waste Water Treatment in Tofu Small Scale Industry using an AnSBR Reactor 24

Biogas Productivity as Renewable Energy and Performance of W...

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24th Regional Symposium on chemical engineering, RSCE 2017

作者： Setyowati Rahayu, Suparni Prasetyo, Totok Purwanto, Purwanto Budiyono, Budiyono Mechanical Engineering Department Politeknik Negeri Semarang Semarang Indonesia Doctoral Program of Environmental Science School of Postgraduate Studies Universitas Diponegoro Semarang Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Diponegoro Semarang Indonesia

A research that analyzed the relationship between biogas production as renewable energy and performance of waste water treatment in tofu small industry using AnSBR reactor has been conducted. This research used system operation method in batches in to get a description of how the biogas production system works as it was operated in the batch mode, which is applied in tofu industry. An instrument capable of operation in batch mode using AnSBR reactor was designed as it does not require sludge re-circulation. An AnSBR reactor includes five stages of;filling, reaction, settling, decanting, and stabilization (idling state). The research was run for 24 days using biogas collected in a tank. Biogas was measured for each HRT starting on the second day HRT to 24th day HRT. Biogas characteristics were monitored on day 16th for contents of CH4, CO2 and heat value. Results show that CH4 content in the biogas amounts to 78.26 %, while CO2 comprises 20.16 %. Meanwhile, the heat value, which depends on acid methane and CO2 content, is 4,246.55 kkal/kg. © The Authors, published by EDP sciences, 2018.

关键词： Biogas

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Hydrothermally extraction of saponin from Acanthophyllum glandulosum root – Physico-chemical characteristics and antibacterial activity evaluation

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Biotechnology Reports 2020年 27卷 e00507页

作者： Najjar-Tabrizi, Roza Javadi, Afshin Sharifan, Anousheh Chew, Kit Wayne Lay, Chyi-How Show, Pau Loke Jafarizadeh-Malmiri, Hoda Berenjian, Aydin Department of Food Science and Technology Science and Research Branch Islamic Azad University Tehran Iran Department of Food Hygiene Tabriz Branch Islamic Azad University Tabriz Iran School of Energy and Chemical Engineering Xiamen University Malaysia Jalan Sunsuria Bandar Sunsuria Sepang 43900 Selangor Darul Ehsan Malaysia Master's Program of Green Energy Science and Technology Feng Chia University No. 100 Wenhwa Road Seatwen 40724 Taichung Taiwan General Education Center Feng Chia University No. 100 Wenhwa Road Seatwen 40724 Taichung Taiwan Green Energy and Biotechnology Industry Research Center Feng Chia University No. 100 Wenhwa Road Seatwen 40724 Taichung Taiwan Department of Chemical and Environmental Engineering Faculty of Science and Engineering University of Nottingham Malaysia Jalan Broga Semenyih 43500 Selangor Darul Ehsan Malaysia Faculty of Chemical Engineering Sahand University of Technology Tabriz 51335-1996 East Azarbaijan Iran School of Engineering Faculty of Science and Engineering University of Waikato Hamilton 3240 New Zealand

Saponin was extracted from Acanthophyllum glandulosum root under subcritical water conditions, and effects of root powder and pH of the solution were evaluated on the concentration of the saponin as manifested in its foamability and antioxidant activity using RSM. FT-IR analysis indicated that A. glandulosum root extract had 2 main functional groups (hydroxyl and amide I groups). Saponin with the highest foam height (4.66 cm), concentration (0.080 ppm) and antioxidant activity (90.6 %) was extracted using 10 g of the root powder and pH value of 4. Non-significant differences were observed between the predicted and experimental values of the extraction response variables. The study demonstrated good appropriateness of resulted models by Response Surface Methodology. Furthermore, higher values of R² was attained for the foamability (>0.81) and antioxidant activity (>0.97), as well as large p-values (p > 0.05) indication of their lack-of-fit response verified the acceptable fitness of the provided models. The extracted saponin also showed bactericidal effect, which shows potential as a natural antibacterial compound. © 2020 The Authors

关键词： Acanthophyllum glandulosumroot Antibacterial activity Antioxidant activity Hydrothermal extraction Saponin

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Dual-Emissive Platinum(II) Metallacage with a Sensitive Oxygen Response for Imaging of Hypoxia and Imaging-Guided Chemotherapy

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Angewandte Chemie 2020年第45期132卷

作者： Zhu H. Li Q. Shi B. Ge F. Liu Y. Mao Z. Wang S. Yu G. Huang F. Stang P.J. State Key Laboratory of Chemical Engineering Center for Chemistry of High-Performance & Novel Materials Department of Chemistry Zhejiang University Hangzhou 310027 China Department of Chemistry University of Utah Salt Lake City UT 84112 United States College of Pharmaceutical Science Zhejiang University Hangzhou 310058 China MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and Engineering Zhejiang University Hangzhou 310027 China School of Life Sciences Tianjin University and Tianjin Engineering Center of Micro-Nano Biomaterials and Detection-Treatment Technology Tianjin 300072 China Green Catalysis Center and College of Chemistry Zhengzhou University Zhengzhou 450001 China

Imaging of hypoxia in vivo helps with accurate cancer diagnosis and evaluation of therapeutic outcomes. A PtII metallacage with oxygen-responsive red phosphorescence and steady fluorescence for in vivo hypoxia imaging and chemotherapy is reported. The therapeutic agent and diagnostic probe were integrated into the metallacage through heteroligation-directed self-assembly. Nanoformulation by encapsulating the metallacage into nanoparticles greatly enhanced its stability the in physiological environment, rendering biomedical applications feasible. Apart from enhanced red phosphorescence upon hypoxia, the ratio between red and blue emissions, which only varies with intracellular oxygen level, provides a more precise standard for hypoxia imaging and detection. Moreover, in vivo explorations demonstrate the promising potential applications of the metallacage-loaded nanoparticles as theranostic agents for tumor hypoxia imaging and chemotherapy. © 2020 Wiley-VCH GmbH

关键词： hypoxia imaging metallacages platinum self-assembly supramolecular chemistry

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Machine Learning-Based Statistical Hypothesis Testing for Fault Detection

Machine Learning-Based Statistical Hypothesis Testing for Fa...

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Conference on Control and Fault-Tolerant Systems (SysTol)

作者： Radhia Fazai Majdi Mansouri Kamal Abodayeh Mohamed Trabelsi Hazem Nounou Mohamed Nounou Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Department of Mathematical Sciences Prince Sultan University Riyadh Saudi Arabia Department of Electronic and Communications Engineering Kuwait College of Science and Technology Kuwait Chemical Engineering Program Texas A&M University at Qatar Doha Qatar

ISBN: (纸本)9781728103815

This paper elaborates the development of machine learning approach merged with statistical hypothesis testing aimed at enhancing the operation of photovoltaic (PV) systems by developing intelligent PV fault detection framework. Fault detection in PV systems is important to ensure optimal energy harvesting and reliable power production because PV systems usually operate in a harsh outdoor environment and tend to suffer various faults. In this paper, therefore, special attention is paid to detection of various faults during different modes of operation. The proposed approach merges the benefits of machine learning technique (MLT) with statistical hypothesis testing to enhance the fault detection and monitoring of PV systems. The proposed technique will be effective in monitoring the PV faults under both normal and abnormal conditions. For the framework developed, the modeling phase is addressed using MLT and the faults are detected using the generalized likelihood ratio test (GLRT) chart. The MLT is used to compute the residuals monitored and the GLRT chart is applied to the monitored residuals evaluated for fault detection purposes. The developed MLT-based GLRT algorithm is implemented and validated using both simulated and real PV data. The results are evaluated in terms of false alarm rates (FAR), missed detection rates (MDR) and computation time.

关键词： Ground penetrating radar Monitoring Circuit faults Testing Photovoltaic systems Fault detection

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Assembly of Dynamic Supramolecular Polymers on a DNA Origami Platform

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Angewandte Chemie 2021年第14期133卷

作者： Dr. Jurgen Schill Dr. Bas J. H. M. Rosier Dr. Berta Gumí Audenis Dr. Eva Magdalena Estirado Prof. Dr. Tom F. A. de Greef Prof. Dr. Luc Brunsveld Institute for Complex Molecular Systems Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands Laboratory of Chemical Biology Department of Biomedical Engineering Eindhoven University of Technology The Netherlands Laboratory of Self-Organising Soft Matter and Laboratory of Macromolecular and Organic Chemistry Department of Chemical Engineering and Chemistry Eindhoven University of Technology The Netherlands Computational Biology group Department of Biomedical Engineering Eindhoven University of Technology The Netherlands Institute for Molecules and Materials Faculty of Science Radboud University Heyendaalseweg 135 6525 AJ Nijmegen The Netherlands

Biological processes rely on transient interactions that govern assembly of biomolecules into higher order, multi-component systems. A synthetic platform for the dynamic assembly of multicomponent complexes would provide novel entries to study and modulate the assembly of artificial systems into higher order topologies. Here, we establish a hybrid DNA origami-based approach as an assembly platform that enables dynamic templating of supramolecular architectures. It entails the site-selective recruitment of supramolecular polymers to the platform with preservation of the intrinsic dynamics and reversibility of the assembly process. The composition of the supramolecular assembly on the platform can be tuned dynamically, allowing for monomer rearrangement and inclusion of molecular cargo. This work should aid the study of supramolecular structures in their native environment in real-time and incites new strategies for controlled multicomponent self-assembly of synthetic building blocks.

关键词： multicomponent assembly polymers self-assembly supramolecular synthesis

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Geometrical Heterogeneity Dominates Thermal Fluctuations in Facilitating Chromatin Contacts

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Physical Review Letters 2019年第20期123卷 208103-208103页

作者： Bruno Beltran Deepti Kannan Quinn MacPherson Andrew J. Spakowitz Biophysics Program Stanford University Stanford California 94305 USA Department of Physics Stanford University Stanford California 94305 USA Chemical Engineering Department Stanford University Stanford California 94305 USA Department of Materials Science and Engineering Stanford University Stanford California 94305 USA Department of Applied Physics Stanford University Stanford California 94305 USA

Within a living cell, the myriad of proteins that bind DNA introduce heterogeneously spaced kinks into an otherwise semiflexible DNA double helix. To investigate the effects of heterogeneous nucleosome binding on chromatin organization, we extend the wormlike chain model to include statistically spaced, rigid kinks. On timescales where nucleosome positions are fixed, we find that the probability of chromatin loop formation can vary by up to six orders of magnitude between two sets of nucleosome positions drawn from the same distribution. On longer timescales, we show that continuous rerandomization due to nucleosome turnover results in chromatin tracing out an effective WLC with a dramatically smaller Kuhn length than bare DNA. Together, these observations demonstrate that nucleosome spacing acts as the primary source of the structural heterogeneity that dominates local and global chromatin organization.

关键词： Biomolecular structure Chromatin Macromolecules Statistical methods

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Tequila: A platform for rapid development of quantum algorithms

arXiv

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arXiv 2020年

作者： Kottmann, Jakob S. Alperin-Lea, Sumner Tamayo-Mendoza, Teresa Cervera-Lierta, Alba Lavigne, Cyrille Yen, Tzu-Ching Verteletskyi, Vladyslav Schleich, Philipp Anand, Abhinav Degroote, Matthias Chaney, Skylar Kesibi, Maha Curnow, Naomi Grace Solo, Brandon Tsilimigkounakis, Georgios Zendejas-Morales, Claudia Izmaylov, Artur F. Aspuru-Guzik, Alán Chemical Physics Theory Group Department of Chemistry University of Toronto Canada Department of Computer Science University of Toronto Canada Department of Chemistry and Chemical Biology Harvard University United States Center for Computational Engineering Science RWTH Aachen University Aachen Germany Department of Physics Williams College WilliamstownMA United States University of Cambridge United Kingdom Quantum Open Source Foundation QC Mentorship Program Department of Physical and Environmental Sciences University of Toronto Scarborough Canada Vector Institute for Artificial Intelligence Toronto Canada Lebovic Fellow Toronto Canada

Variational quantum algorithms are currently the most promising class of algorithms for deployment on near-term quantum computers. In contrast to classical algorithms, there are almost no standardized methods in quantum algorithmic development yet, and the field continues to evolve rapidly. As in classical computing, heuristics play a crucial role in the development of new quantum algorithms, resulting in a high demand for flexible and reliable ways to implement, test, and share new ideas. Inspired by this demand, we introduce tequila, a development package for quantum algorithms in python, designed for fast and flexible implementation, prototyping and deployment of novel quantum algorithms in electronic structure and other fields. tequila operates with abstract expectation values which can be combined, transformed, differentiated, and optimized. On evaluation, the abstract data structures are compiled to run on state of the art quantum simulators or interfaces. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum theory

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Synergistic Glutathione Depletion and STING Activation to Potentiate Dendritic Cell Maturation and Cancer Vaccine Efficacy

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Angewandte Chemie 2024年第10期136卷

作者： Dr. Jianping Liu Dr. Ye Zhang Bowei Yang Dr. Yingbo Jia Prof. Rui-Tian Liu Dr. Lingwen Ding Prof. Zheyu Shen Prof. Xiaoyuan Chen Departments of Diagnostic Radiology Surgery Chemical and Biomolecular Engineering and Biomedical Engineering Yong Loo Lin School of Medicine and College of Design and Engineering National University of Singapore Singapore 119074 Singapore Nanomedicine Translational Research Program Yong Loo Lin School of Medicine National University of Singapore Singapore 117597 Singapore School of Biomedical Engineering Southern Medical of University Guangzhou Guangdong 510515 P. R. China CAS Key Laboratory of Nano-Bio Interface Suzhou Institute of Nano-Tech and Nano-Bionics Chinese Academy of Sciences Suzhou Jiangsu 215123 P. R. China State Key Laboratory of Biochemical Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 P. R. China Department of Pathology Yong Loo Lin School of Medicine National University of Singapore Singapore 119074 Singapore Clinical Imaging Research Center Center for Translational Medicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117599 Singapore Institute of Molecular and Cell Biology Agency for Science Technology and Research (A*STAR) 61 Biopolis Drive Proteos Singapore 138673 Singapore

Dendritic cell (DC) maturation and antigen presentation are key factors for successful vaccine-based cancer immunotherapy. This study developed manganese-based layered double hydroxide (Mn-LDH) nanoparticles as a self-adjuvanted vaccine carrier that not only promoted DC maturation through synergistically depleting endogenous glutathione (GSH) and activating STING signaling pathway, but also facilitated the delivery of model antigen ovalbumin (OVA) into lymph nodes and subsequent antigen presentation in DCs. Significant therapeutic-prophylactic efficacy of the OVA-loaded Mn-LDH (OVA/Mn-LDH) nanovaccine was determined by the tumor growth inhibition in the mice bearing B16-OVA tumor. Our results showed that the OVA/Mn-LDH nanoparticles could be a potent delivery system for cancer vaccine development without the need of adjuvant. Therefore, the combination of GSH exhaustion and STING pathway activation might be an advisable approach for promoting DC maturation and antigen presentation, finally improving cancer vaccine efficacy.

关键词： Antigen Delivery DC Maturation GSH Depletion ROS Upregulation STING Activation

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Anti-Inflammatory and Antimicrobial Effects ofEucalyptusspp. Essential Oils: A Potential Valuable Use for an Industry Byproduct

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Evidence-Based Complementary and Alternative Medicine 2023年第1期2023卷

作者： Emilly S. Salvatori Letícia V. Morgan Samara Ferrarini Gabriela A. L. Zilli Adriano Rosina Manuelle O. P. Almeida Helen C. S. Hackbart Renan S. Rezende Daniel Albeny-Simões J. Vladimir Oliveira Adriana Gasparetto Liz G. Müller Jacir Dal Magro School of Health Community University of Chapecó Region (Unochapecó) Chapecó SC Brazilunochapeco.edu.br Graduate Program in Environmental Sciences Community University of Chapecó Region (Unochapecó) Chapecó SC Brazilunochapeco.edu.br School of Agriculture and Environment Community University of Chapecó Region (Unochapecó) Chapecó SC Brazilunochapeco.edu.br Graduate Program in Food Science Technology UFPel Pelotas RS Brazilufpel.edu.br Department of Chemical and Food Engineering UFSC Florianópolis SC Brazilufsc.br

In Brazil, the use of Eucalyptus is focused on the production of wood or pulp for the paper industry but without any general recovery of waste, with leaves and branches being left on the ground. One possibility is to use these residues as raw materials in the production of industrially relevant and value-added compounds such as essential oil. The aim of the present study was to investigate the chemical composition, yield, anti-inflammatory/antinociceptive activities, and acute toxicity in mice, as well as the antimicrobial effects of essential oils from the leaves of 7 varieties of Eucalyptus and hybrids against Escherichia coli , Staphylococcus aureus, and Candida albicans . The extraction of oils was carried out using hydrodistillation, and they were analyzed by gas chromatography coupled to mass spectrometry. Urocam and Grancam were the plants that obtained the highest oil yield, with yields of 3.32 and 2.30%, respectively. The main chemical components identified in these plants were 1.8 cineole and α -pinene. The antinociceptive effect of the 7 oils (50 mg/kg, p.o.) was initially assessed in the acetic acid-induced writhing test. In this assay, a significant ( p < 0.05) antinociceptive/anti-inflammatory effect was observed from 4 tested essential oils ( E. benthamii, E. saligna, and the hybrids Urocam and Grancam) when compared to the vehicle-treated group. This effect was then confirmed in the formalin-induced paw licking test. No toxicological effects or alterations were observed in motor coordination after the administration of the studied oils to the animals. In the antimicrobial evaluation, the seven essential oils inhibited the growth of S. aureus, E. coli , and C. albicans at different concentrations. Collectively, these results demonstrate that the essential oil from the leaves and branches of Eucalyptus species and varieties present potential biomedical applications and represent a source of antimicrobial and/or anti-inflammatory compounds.

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