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Corrigendum to "Lepidium meyenii (Maca) polysaccharides mitigate liver toxicity of aflatoxin B1 through activation of NRF-2/GPX and AhR/STAT3 signaling pathways" [Toxicon, 250 (2024) 108117]

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Toxicon : official journal of the International Society on Toxinology 2024年 251卷 108131页

作者： Jing Zhang Zhen Peng Dong Cheng Wenhuan Yao Hui Li Qi Zhang Ruisen Guo Kunyan Li Longrui Zou Jia-Sheng Wang Qiang Jia Tianliang Zhang Jun Zhou Division of Toxicology Shandong Center for Disease Control and Prevention Jinan 250014 China. . Cheeloo College of Medicine Shandong University Jinan 250012 China. Division of Toxicology Shandong Center for Disease Control and Prevention Jinan 250014 China. Electronic address: jzhou@***. Department of Toxicology Shandong Academy of Occupational Health and Occupational Medicine Shandong First Medical University Jinan 250062 China Interdisciplinary Toxicology Program and Department of Environmental Health Science College of Public Health University of Georgia Athens 30602 USA. Department of Toxicology Shandong Academy of Occupational Health and Occupational Medicine Shandong First Medical University Jinan 250062 China. Department of Toxicology Shandong Academy of Occupational Health and Occupational Medicine Shandong First Medical University Jinan 250062 China. Electronic address: zhjshdu_2020@***.

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Study of Aerosol Direct and Indirect Effects and Auto-conversion Processes over the West African Monsoon Region Using a Regional Climate Model

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Advances in Atmospheric sciences 2018年第2期35卷 182-194页

作者： Zeinab SALAH Ahmed SHALABY Allison L. STEINER Ashraf S. ZAKEY Ritesh GAUTAM Mohamed M. ABDEL WAHAB The Egyptian Meteorological Authority Cairo 11784 Egypt University of Michigan Department of Climate and Space Sciences and Engineering Ann Arbor M148109-2143 USA Centre of Studies in Resources Engineering and Interdisciplinary Program in Climate Studies Indian Institute of Technology Bombay Bombay 400076 India Cairo University Department of Astronomy Space Science and Meteorology Giza 12613 Egypt Environmental Defense Fund Washington DC 20009 USA

This study assesses the direct and indirect effects of natural and anthropogenic aerosols （e.g., black carbon and sulfate） over West and Central Africa during the West African monsoon （WAM） period （June-July-August）. We investigate the impacts of aerosols on the amount of cloudiness, the influences on the precipitation efficiency of clouds, and the associated radiative forcing （direct and indirect）. Our study includes the implementation of three new formulations of auto-conversion parameterization [namely, the Beheng （BH）, Tripoli and Cotton （TC） and Liu and Daum （R6） schemes] in RegCM4.4.1, besides the default model＇s auto-conversion scheme （Kessler）. Among the new schemes, BH reduces the precipitation wet bias by more than 50% over West Africa and achieves a bias reduction of around 25% over Central Africa. Results from detailed sensitivity experiments suggest a significant path forward in terms of addressing the long-standing issue of the characteristic wet bias in RegCM. In terms of aerosol-induced radiative forcing, the impact of the various schemes is found to vary considerably （ranging from -5 to -25 W m-2）.

关键词： aerosol, cloud West African monsoon auto-conversion RegCM

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Correction to: Exposure assessment of aflatoxins and zearalenone in edible vegetable oils in Shandong, China: health risks posed by mycotoxin immunotoxicity and reproductive toxicity in children

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environmental science and pollution research international 2023年第2期30卷 3759页

作者： Fenghua Li Xianqi Zhao Yanni Jiao Xinglan Duan Lianlong Yu Fengjia Zheng Xiaolin Wang Lin Wang Jia-Sheng Wang Xiulan Zhao Tianliang Zhang Wei Li Jun Zhou Shandong Center for Food Safety Risk Assessment Shandong Center for Disease Control and Prevention and Academy of Preventive Medicine Shandong University Jinan 250014 China. School of Public Health Cheeloo College of Medicine Shandong University Room 9307 Wenhuaxi Road 44 Lixia District Jinan 250012 China. Interdisciplinary Toxicology Program and Department of Environmental Health Science College of Public Health University of Georgia Athens GA 30602 USA. Department of Toxicology and Nutrition School of Public Health Shandong University Jinan 250012 China. School of Public Health Cheeloo College of Medicine Shandong University Room 9307 Wenhuaxi Road 44 Lixia District Jinan 250012 China. zhjccm@***.

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Modeling diurnal gross primary production in East Asia using Himawari-8/9 geostationary satellite data

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Remote Sensing of Environment 2025年 328卷

作者： Yuhei Yamamoto Kazuhito Ichii Wei Yang Yui Shikakura Youngryel Ryu Minseok Kang Shohei Murayama Su-Jin Kim Yuta Takao Masahito Ueyama Tomoko Kawaguchi Akitsu Hiroki Iwata Hojin Lee Junghwa Chun Atsushi Higuchi Takashi Hirano AReum Kim Hyun Seok Kim Kenzo Kitamura Yuji Kominami Yukio Yasuda Institute for Advanced Academic Research (IAAR) Chiba University 1-33 Yayoi-cho Inage-ku Chiba 263-8522 Japan Center for Environmental Remote Sensing (CEReS) Chiba University 1-33 Yayoi-cho Inage-ku Chiba 263-8522 Japan Graduate School of Science and Engineering Chiba University 1-33 Yayoi-cho Inage-ku Chiba 263-8522 Japan Department of Landscape Architecture and Rural Systems Engineering Seoul National University 1 Gwanak-ro Gwanak-gu Seoul 08826 Republic of Korea Department of Atmospheric and Environmental Sciences Gangneung-Wonju National University 7 Jukheon-gil Gangneung-si Gangwon-do 25457 Republic of Korea National Institute of Advanced Industrial Science and Technology (AIST) AIST Tsukuba West 16-1 Onogawa Tsukuba Ibaraki 305-8569 Japan Dokkyo University 1-1 Gakuen-cho Soka Saitama 340-0042 Japan National Institute of Forest Science 57 Hoegi-ro Dongdaemun-gu Seoul 02455 Republic of Korea Graduate School of Agriculture Department of Environmental Sciences and Technology Osaka Metropolitan University 1-1 Gakuencho Naka-ku Sakai Osaka 599-8531 Japan Earth Observation Research Center Japan Aerospace Exploration Agency (JAXA) 2-1-1 Sengen Tsukuba Ibaraki 305-8505 Japan Department of Environmental Science Shinshu University 3-1-1 Asahi Matsumoto Nagano 390-8621 Japan Chair of Ecosystem Physiology Faculty of Environment and Natural Resources Albert-Ludwigs-University Freiburg 79110 Freiburg im Breisgau Germany Interdisciplinary Program in Agricultural and Forest Meteorology Seoul National University Seoul 08826 Republic of Korea Research Institute of Disaster Medicine Chiba University 1-8-1 Inohana Chuo-ku Chiba 260-0856 Japan Typhoon Science and Technology Research Center (TRC) Yokohama National University 79-5 Tokiwadai Hodogaya-ku Yokohama 240-8501 Japan Research Faculty of Agriculture Hokkaido University Kita 9 Nishi 9 Kita-ku Sapporo Hokkaido 060-8589 Japan Department of Agriculture Forestry and Bioresources College of

Gross primary production (GPP) is a key indicator of plant growth and ecosystem health, and accurately capturing its diurnal variation is crucial for understanding vegetation responses to extreme heat and drought. However, the applicability of satellite-based semi-empirical models to diurnal GPP estimation remains limited. This study refined diurnal GPP estimation in humid temperate climates by leveraging Himawari-8/9 geostationary satellite data to incorporate direct/diffuse radiation and the nonlinear GPP response to diurnal variations in absorbed photosynthetically active radiation (APAR). The eddy covariance-light use efficiency (EC-LUE) model was employed by adopting three approaches: the direct/diffuse (DD) setting to consider the direct/diffuse components of APAR, DD with nonlinear relationship (DD-NL) setting to additionally consider the nonlinear GPP-APAR relationship, and the baseline setting. The model was calibrated and validated using the eddy-covariance tower observations from 18 sites across Japan and South Korea. The DD-NL setting improved accuracy by correcting the baseline's overestimation of GPP under high APAR and underestimation under low APAR. Particularly for forest sites, the DD-NL setting reduced midday overestimations by 12–30 % on clear-sky days and morning/afternoon underestimations by 25–40 % on cloudy days. In the baseline setting, low-APAR biases progressively accumulated across daily to annual timescales, whereas the DD-NL setting reduced them to −0.10 g C m −2 day −1 and -51 g C m −2 year −1 (−2.7 % of the site's average GPP). The DD setting had minimal impact in densely vegetated sites. Our findings show that the DD-NL setting in LUE models enhances geostationary satellite-based GPP estimates across diurnal to annual timescales, supporting ecosystem monitoring during extreme events and long-term carbon assessments.

关键词： Photosynthesis Gross primary production (GPP) Light use efficiency (LUE) model Diurnal variations Geostationary satellite data Himawari 8/9 Advanced Himawari imager (AHI)

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Facilitating interdisciplinary Graduate Education: Barriers, Solutions, and Needed Innovations

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Change: The Magazine of Higher Learning 2018年第5期50卷 53-59页

作者： Meredith Welch-Devine Alana Shaw Julie Coffield Nik Heynen Meredith Welch-Devine is the Director of Interdisciplinary and Innovative Initiatives for the University of Georgia Graduate School. In addition to helping develop and administer interdisciplinary programs for the university she has a research interest in interdisciplinary team science and interdisciplinary training.http://***/0000-0001-8519-4585 Alana Shaw received her PhD from the University of Georgia in 2016 and is now the Environmental Coordinator for the Village of Wainwright. Shaw was a student in the interdisciplinary Integrative Conservation program. Julie Coffield recently returned to the faculty after serving as Associate Dean of the Graduate School. She also formerly directed the Interdisciplinary Toxicology Program at UGA. Nik Heynen is the immediate past director of the interdisciplinary Integrative Conservation program.

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关键词： interdisciplinary education GRADUATE education HUMAN resources departments STUDENTS TRAINING

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BIRTH DEFECTS RESEARCH 2017年第15期109卷 1236-1236页

作者： Desai, Rahat Wadhwa Smith, Mary Alice Interdisciplinary Toxicology Program Center for Food Safety University of Georgia Athens Georgia Regenerative Bioscience Center University of Georgia Athens Georgia Environmental Health Science Department University of Georgia Athens Georgia

About one in seven cases of listeriosis occurs in pregnant women, and, although listeriosis is rare, it is the third leading cause of death from food-borne infections. Pregnancy-related listeriosis increases the risk for fetal and neonatal mortality by approximately 21%. During pregnancy, infections are more likely to occur in the third trimester (66%) than the first trimester (3%). However, fetal and neonatal adverse effects are less common as gestational age increases or with older gestational age at birth. Pregnant women seem highly susceptible in some listeriosis outbreaks making up a large percentage of cases, whereas others contain very few. Whether this results from differences in strains of L. monocytogenes, exposures, or other factors remains to be determined. Food and Agriculture Organization of United Nations/World Health Organization (FAO/WHO) estimates the human lethal dose for 50% (LD50 ) for fetal/neonatal loss is 1.9 × 106 colony forming units (CFUs) L. monocytogenes. Animal models have been developed for pregnancy-related listeriosis showing similar susceptibility and clinical outcomes as in humans. Nonhuman primate and guinea pig animal models have similar (LD50 ) values to the estimated human LD50 . Additional animal studies are needed to understand the pathways leading to fetal and neonatal listeriosis in humans. More information is needed to understand dose response, to model risk for listeriosis at lower concentrations, and to determine why some pregnant women may be more susceptible than others. To better treat listeriosis during pregnancy, biomarkers for early diagnosis of listeriosis are also needed. Last, pregnant women need to be educated about avoiding high-risk foods, like Mexican-style cheese and ready-to-eat meats. Birth Defects Research 109:324-335, 2017.© 2017 Wiley Periodicals, Inc.◆ (© 2017 Wiley Periodicals, Inc.)

关键词： Listeria monocytogenes emerging infections listeriosis pregnancy pregnancy-related listeriosis

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DeePMD-kit v2: A software package for Deep Potential models

arXiv

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arXiv 2023年

作者： Zeng, Jinzhe Zhang, Duo Lu, Denghui Mo, Pinghui Li, Zeyu Chen, Yixiao Rynik, Marián Huang, Li'ang Li, Ziyao Shi, Shaochen Wang, Yingze Ye, Haotian Tuo, Ping Yang, Jiabin Ding, Ye Li, Yifan Tisi, Davide Zeng, Qiyu Bao, Han Xia, Yu Huang, Jiameng Muraoka, Koki Wang, Yibo Chang, Junhan Yuan, Fengbo Bore, Sigbjørn Løland Cai, Chun Lin, Yinnian Wang, Bo Xu, Jiayan Zhu, Jia-Xin Luo, Chenxing Zhang, Yuzhi Goodall, Rhys E.A. Liang, Wenshuo Singh, Anurag Kumar Yao, Sikai Zhang, Jingchao Wentzcovitch, Renata Han, Jiequn Liu, Jie Jia, Weile York, Darrin M. Weinan, E. Car, Roberto Zhang, Linfeng Wang, Han Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China College of Electrical and Information Engineering Hunan University Changsha China Yuanpei College Peking University Beijing100871 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08540 United States Department of Experimental Physics Comenius University Mlynská Dolina F2 Bratislava842 48 Slovakia Center for Quantum Information Institute for Interdisciplinary Information Sciences Tsinghua University Beijing100084 China Center for Data Science Peking University Beijing100871 China ByteDance Research Zhonghang Plaza No. 43 North 3rd Ring West Road Haidian District Beijing China College of Chemistry and Molecular Engineering Peking University Beijing100871 China Baidu Inc. Beijing China Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University Zhejiang Hangzhou China Westlake AI Therapeutics Lab Westlake Laboratory of Life Sciences and Biomedicine Zhejiang Hangzhou China Department of Chemistry Princeton University PrincetonNJ08544 United States SISSA Scuola Internazionale Superiore di Studi Avanzati Trieste34136 Italy Laboratory of Computational Science and Modeling Institute of Materials École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Department of Physics National University of Defense Technology Hunan Changsha410073 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China School of Electronics Engineerin

DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as Deep Potential (DP) models. This package, which was released in 2017, has been widely used in the fields of physics, chemistry, biology, and material science for studying atomistic systems. The current version of DeePMD-kit offers numerous advanced features such as DeepPot-SE, attention-based and hybrid descriptors, the ability to fit tensile properties, type embedding, model deviation, Deep Potential - Range Correction (DPRc), Deep Potential Long Range (DPLR), GPU support for customized operators, model compression, non-von Neumann molecular dynamics (NVNMD), and improved usability, including documentation, compiled binary packages, graphical user interfaces (GUI), and application programming interfaces (API). This article presents an overview of the current major version of the DeePMD-kit package, highlighting its features and technical details. Additionally, the article benchmarks the accuracy and efficiency of different models and discusses ongoing developments. © 2023, CC BY-NC-ND.

关键词： Molecular dynamics

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Ecological and socioeconomic factors associated with the human burden of environmentally mediated pathogens: a global analysis

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The Lancet Planetary Health 2022年第11期6卷 e870-e879页

作者： Sokolow, Susanne H Nova, Nicole Jones, Isabel J Wood, Chelsea L Lafferty, Kevin D Garchitorena, Andres Hopkins, Skylar R Lund, Andrea J MacDonald, Andrew J LeBoa, Christopher Peel, Alison J Mordecai, Erin A Howard, Meghan E Buck, Julia C Lopez-Carr, David Barry, Michele Bonds, Matthew H De Leo, Giulio A Woods Institute for the Environment Stanford University Stanford CA United States Department of Biology Stanford University Stanford CA United States Emmett Interdisciplinary Program in Environment and Resources (E-IPER) Stanford University Stanford CA United States Center for Innovation in Global Health Stanford University Stanford CA United States Marine Science Institute University of California Santa Barbara Santa Barbara CA United States Earth Research Institute University of California Santa Barbara Santa Barbara CA United States Department of Geography University of California Santa Barbara Santa Barbara CA United States High Meadows Environmental Institute Princeton University Princeton NJ United States Hopkins Marine Station Stanford University Pacific Grove CA United States School of Aquatic and Fishery Sciences University of Washington Seattle WA United States US Geological Survey Western Ecological Research Center c/o Marine Science Institute University of California Santa Barbara Santa Barbara CA United States MIVEGEC Université Montpellier Centre National de la Recherche Scientifique Institut de Recherche pour le Développement Montpellier France PIVOT Division of Global Health Equity Brigham and Women's Hospital Boston MA United States North Carolina State University Raleigh NC United States Centre for Planetary Health and Food Security Griffith University Nathan QLD Australia Department of Biology and Marine Biology University of North Carolina Wilmington Wilmington NC United States Department of Global Health and Social Medicine Harvard Medical School Boston MA

Background: Billions of people living in poverty are at risk of environmentally mediated infectious diseases—that is, pathogens with environmental reservoirs that affect disease persistence and control and where environmental control of pathogens can reduce human risk. The complex ecology of these diseases creates a global health problem not easily solved with medical treatment alone. Methods: We quantified the current global disease burden caused by environmentally mediated infectious diseases and used a structural equation model to explore environmental and socioeconomic factors associated with the human burden of environmentally mediated pathogens across all countries. Findings: We found that around 80% (455 of 560) of WHO-tracked pathogen species known to infect humans are environmentally mediated, causing about 40% (129 488 of 359 341 disability-adjusted life years) of contemporary infectious disease burden (global loss of 130 million years of healthy life annually). The majority of this environmentally mediated disease burden occurs in tropical countries, and the poorest countries carry the highest burdens across all latitudes. We found weak associations between disease burden and biodiversity or agricultural land use at the global scale. In contrast, the proportion of people with rural poor livelihoods in a country was a strong proximate indicator of environmentally mediated infectious disease burden. Political stability and wealth were associated with improved sanitation, better health care, and lower proportions of rural poverty, indirectly resulting in lower burdens of environmentally mediated infections. Rarely, environmentally mediated pathogens can evolve into global pandemics (eg, HIV, COVID-19) affecting even the wealthiest communities. Interpretation: The high and uneven burden of environmentally mediated infections highlights the need for innovative social and ecological interventions to complement biomedical advances in the pursuit of global health

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The European Reference Genome Atlas: piloting a decentralised approach to equitable biodiversity genomics

NPJ Biodiversity

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NPJ Biodiversity 2024年第1期3卷 28页

作者： Mc Cartney, Ann M. Formenti, Giulio Mouton, Alice De Panis, Diego Marins, Luísa S. Leitão, Henrique G. Diedericks, Genevieve Kirangwa, Joseph Morselli, Marco Salces-Ortiz, Judit Escudero, Nuria Iannucci, Alessio Natali, Chiara Svardal, Hannes Fernández, Rosa De Pooter, Tim Joris, Geert Strazisar, Mojca Wood, Jonathan M. D. Herron, Katie E. Seehausen, Ole Watts, Phillip C. Shaw, Felix Davey, Robert P. Minotto, Alice Fernández, José M. Böhne, Astrid Alegria, Carla Alioto, Tyler Alves, Paulo C. Amorim, Isabel R. Aury, Jean-Marc Backstrom, Niclas Baldrian, Petr Baltrunaite, Laima Barta, Endre Bedhom, Bertrand Belser, Caroline Bergsten, Johannes Bertrand, Laurie Bilandija, Helena Binzer-Panchal, Mahesh Bista, Iliana Blaxter, Mark Borges, Paulo A. V. Dias, Guilherme Borges Bosse, Mirte Brown, Tom Bruggmann, Rémy Buena-Atienza, Elena Burgin, Josephine Buzan, Elena Cariani, Alessia Casadei, Nicolas Chiara, Matteo Chozas, Sergio Jr, Fedor Čiampor Crottini, Angelica Cruaud, Corinne Cruz, Fernando Dalen, Love Biase, Alessiode Delcampo, Javier Delic, Teo Dennis, Aliceb. Derks, Martijn F. L. Diroma, Maria Angela Djan, Mihajla Duprat, Simone Eleftheriadi, Klara Feulner, Philine G. D. Flot, Jean-François Forni, Giobbe Fosso, Bruno Fournier, Pascal Fournier-Chambrillon, Christine Gabaldon, Toni Garg, Shilpa Gissi, Carmela Giupponi, Luca Gomez-Garrido, Jessica González, Josefa Grilo, Miguel L. Grüning, Björn Guerin, Thomas Guiglielmoni, Nadege Gut, Marta Haesler, Marcel P. Hahn, Christoph Halpern, Balint Harrison, Peter W. Heintz, Julia Hindrikson, Maris Höglund, Jacob Howe, Kerstin Hughes, Graham M. Istace, Benjamin Cock, Mark J. Janžekovič, Franc Jonsson, Zophonias O. Joye-Dind, Sagane Koskimäki, Janne J. Krystufek, Boris Kubacka, Justyna Kuhl, Heiner Kusza, Szilvia Labadie, Karine Lähteenaro, Meri Lantz, Henrik Lavrinienko, Anton Leclère, Lucas Lopes, Ricardo Jorge Madsen, Ole Magdelenat, Ghislaine Magoga, Giulia Manousaki, Tereza Mappes, Tapio Marques, Joao Pedro Redondo, Gemma I. Martinez Maumus, Florian McCarthy, Shane A. M Genomics Institute University of California SantaCruz CA United States TheVertebrate Genome Laboratory The Rockefeller University NewYork NY United States Department of Biology University of Florence Sesto Fiorentino Italy InBios-Conservation Genetics Laboratory University of Liege Liege Belgium Leibniz Institut für Zoo und Wildtierforschung Berlin Germany Berlin Center for Genomics in Biodiversity Research Berlin Germany Department of Biology University of Antwerp Antwerp Belgium Institute of Zoology University of Cologne Cologne Germany Department of Chemistry Life Sciences and Environmental Sustainability University of Parma Parma Italy Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra Barcelona Spain Naturalis Biodiversity Center Leiden Netherlands Neuromics Support Facility VIB Center for Molecular Neurology VIB Antwerp Belgium Neuromics Support Facility Department of Biomedical SciencesUniversity ofAntwerp Antwerp Belgium Tree of Life WellcomeSanger Institute Cambridge Hinxton United Kingdom School of Biology and Environmental Science University College Dublin Belfield Ireland Aquatic Ecology & Evolution Institute of Ecology & Evolution University of Bern Bern Switzerland Department of Fish Ecology & Evolution Eawag Kastanienbaum Switzerland Department of Biological and Environmental Science University of Jyvaskyla Jyvaskyla Finland The EarlhamInstitute NorwichResearchPark Norwich United Kingdom Digital Science London United Kingdom Barcelona Supercomputing Center Spanish National Bioinformatics Institute ELIXIR Spain Getafe Spain Leibniz Institute for the Analysis of Biodiversity Change Museum Koenig Bonn Bonn Germany CE3C—Centre for Ecology Evolution and Environmental Changes & CHANGE—Global Change and Sustainability Institute Faculdade de Ciências Universidade de Lisboa Campo Grande Lisboa Portugal Centro Nacional de Análisis Genómico (CNAG) Barcelona Spain Universitat de Barcelona (UB) Barcelona Spain CIBIO Cen

A genomic database of all Earth’s eukaryotic species could contribute to many scientific discoveries;however, only a tiny fraction of species have genomic information available. In 2018, scientists across the world united under the Earth BioGenome Project (EBP), aiming to produce a database of highquality reference genomes containing all ~1.5 million recognized eukaryotic species. As the European node of the EBP, the European Reference Genome Atlas (ERGA) sought to implement a new decentralised, equitable and inclusive model for producing reference genomes. For this, ERGA launched a Pilot Project establishing the first distributed reference genome production infrastructure and testing it on 98 eukaryotic species from 33 European countries. Here we outline the infrastructure and explore its effectiveness for scaling high-quality reference genome production, whilst considering equity and inclusion. The outcomes and lessons learned provide a solid foundation for ERGA while offering key learnings to other transnational, national genomic resource projects and the EBP. © The Author(s) 2024, corrected publication 2024.

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Thermal Degradation and Kinetic Study of Cassava Rhizome for Torrefaction Application

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IOP Conference Series: Earth and environmental science 2019年第1期401卷

作者： P Sirinwaranon D Atong V Sricharoenchaikul Interdisciplinary Program in Environmental Science Graduated School Chulalongkorn University Bangkok 10330 Thailand National Metal and Materials Technology Center (MTEC) National Science and Technology Development Agency (NSTDA) Thailand Science Park Pathum Thani 12120 Thailand Faculty of Engineering Department of Environmental Engineering Chulalongkorn University Bangkok 10330 Thailand

Thermal decomposition kinetics of cassava rhizome (CR) is an important key in the torrefaction process. Kinetic analysis of the cassava rhizome torrefaction was investigated using a thermogravimetric analyser in which CR weight loss is measured under nitrogen atmosphere from ambient temperature to 973K at 5, 10, 20, and 30 Kmin−1. Two model-free iso-conversional methods, Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira-Sunose (KAS) have been used to determine activation energies as a function of the extent of degradation. In this work, the CR particles were separated into 3 study groups, 0.125-0.425 mm, 0.425-0.850, and 0.850-2 mm. The average activation energies calculated by using the methods are relatively similar for all three-particle size samples. The average activation energy values calculated by FWO method were 170.509, 172.593, and 130.149 kJmol−1, respectively. These data were comparable to KAS method in which the average activation energy numbers were 170.647, 177.276, and 128.620 kJmol−1. Both methods indicated that the activation energy was relatively constant until the conversion of 0.5. The pre-exponential factor values from FWO and KAS ranged 4.87E+17 s−1 and 7.28E+14 s−1, respectively. The experimental results show that kinetic parameters from both methods are suitable and effective to help describe the thermal degradation of the cassava rhizome.

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