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Food and Humanity 2025年 4卷

作者： Miranda, Bruna Melo Tovar, Beatriz Carolina Alvez Otero, Deborah Murowaniecki da Silva, Flávio Alves Scalize, Paulo Sergio de Oliveira, Tatianne Ferreira Department of Food Science Nutrition School Federal University of Bahia Canela Campus Bahia Salvador Brazil Department of Food Engineering Agronomy School Federal University of Goiás Goiás Goiânia Brazil Institute of Experimental Biology Faculty of Sciences Central University of Venezuela Caracas Venezuela Graduate Program in Food Science Faculty of Pharmacy Federal University of Bahia Campus Ondina Bahia Salvador Brazil Graduate Program in Food Nutrition and Health Nutrition School Federal University of Bahia Campus Canela Bahia Salvador Brazil School of Civil and Environmental Engineering Federal University of Goiás Goiás Goiânia Brazil

During food processing, large amounts of waste are generated, which compromise the environment and society. The valorization of agri-food by-products has been investigated as a solution to obtain clean energy and value-added materials, improving food security and production profitability. This research focuses on the by-products of baru (Dipteryx alata Vog.) and monguba (Pachira aquatica Aubl.), discussing their applications and biotechnological perspectives. A critical review of the parameters related to the valorization of these by-products was conducted, using publications from 2013 to 2023, prioritizing studies that presented new knowledge. An increase in publications on the topic was observed starting in 2020, with Brazil leading, followed by India, Portugal, and Singapore. Although still underexplored, eight areas of knowledge were identified, with emphasis on food science and chemistry. Monguba lacks technological exploitation and economic value, while baru, despite being more documented, remains underutilized. Both fruits have fractions (epicarp, mesocarp, and endocarp) that are often considered waste but are of scientific interest. The mesocarp of baru is rich in proteins, lipids, carbohydrates, and phenolic compounds with high antioxidant capacity. The by-products of baru and monguba can be used in the extraction of nutraceutical compounds, in the transformation into biomaterials for water impurity removal, in renewable energy production, in food enrichment, and as ingredients in animal feed, improving the quality of eggs and meat. The use of these by-products offers economic and environmental advantages, reducing contamination caused by the improper disposal of agro-industrial waste. It is essential to promote their commercial exploitation and potential applications. © 2024 Elsevier B.V.

关键词： Bioactive compounds Biomaterials By-products application Functional foods Residues recovery Sustainable agriculture

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Inverse designing metamaterials with programmable nonlinear functional responses in graph space

arXiv

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arXiv 2024年

作者： Maurizi, Marco Xu, Derek Wang, Yu-Tong Yao, Desheng Hahn, David Oudich, Mourad Satpati, Anish Bauchy, Mathieu Wang, Wei Sun, Yizhou Jing, Yun Zheng, Xiaoyu Rayne Department of Materials Science and Engineering University of California Berkeley Berkeley94720 United States Department of Computer Science University of California Los Angeles Los Angeles90095 United States Graduate Program in Acoustics Penn State University PA16802 United States Universite’ de Lorraine CNRS Institut Jean Lamour NancyF-54000 France Department of Civil and Environmental Engineering University of California Los Angeles Los Angeles90095 United States

Material responses to static and dynamic stimuli, represented as nonlinear curves, are design targets for engineering functionalities like structural support, impact protection, and acoustic and photonic bandgaps. Three-dimensional metamaterials offer significant tunability due to their internal structure, yet existing methods struggle to capture their complex behavior-to-structure relationships. We present GraphMetaMat, a graph-based framework capable of designing three-dimensional metamaterials with programmable responses and arbitrary manufacturing constraints. Integrating graph networks, physics biases, reinforcement learning, and tree search, GraphMetaMat can target stress-strain curves spanning four orders of magnitude and complex behaviors, as well as viscoelastic transmission responses with varying attenuation gaps. GraphMetaMat can create cushioning materials for protective equipment and vibration-damping panels for electric vehicles, outperforming commercial materials, and enabling the automatic design of materials with on-demand functionalities. Copyright © 2024, The Authors. All rights reserved.

关键词： Metamaterials

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Harnessing Microbial Phylum-Specific Molecular Markers for Assessment of environmental Estrogen Degradation

SSRN

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SSRN 2023年

作者： Hsiao, Tsun-Hsien Chen, Po-Hao Wang, Po-Hsiang Brandon-Mong, Guo-Jie Li, Chen-Wei Horinouchi, Masae Wu, Tien-Yu Ismail, Wael Meng, Menghsiao Chen, Yi-Lung Chiang, Yin-Ru Hayashi, Toshiaki Biodiversity Research Center Academia Sinica Taipei106 Taiwan Department of Microbiology Soochow University Taipei106 Taiwan Graduate Institute of Environmental Engineering National Central University Taoyuan320 Taiwan Department of Chemical and Materials Engineering National Central University Taoyuan320 Taiwan Condensed Molecular Materials Laboratory RIKEN Saitama351-0198 Japan Environmental Molecular Biology Laboratory RIKEN Saitama351-0198 Japan Environmental Biotechnology Program Life Sciences Department College of Graduate Studies Arabian Gulf University Manama Bahrain Graduate Institute of Biotechnology National Chung Hsing University Taichung402 Taiwan Department of Agricultural Chemistry National Taiwan University Taipei106 Taiwan Biodiversity Research Center Academia Sinica 128 Academia Road Sec. 2 Nankang Taipei115 Taiwan

Steroidal estrogens are ubiquitous contaminants that have garnered attention worldwide due to their endocrine-disrupting and carcinogenic activities at sub-nanomolar concentrations. Microbial degradation is one of the main mechanisms through which estrogens can be removed from the environment. Numerous bacteria have been isolated and identified as estrogen degraders;however, little is known about their contribution to environmental estrogen removal. Here, our global metagenomic analysis indicated that estrogen degradation genes are widely distributed among bacteria, especially among aquatic actinobacterial and proteobacterial species. Thus, by using the Rhodococcus sp. strain B50 as the model organism, we identified three actinobacteria-specific estrogen degradation genes, namely aedGHJ, by performing gene disruption experiments and metabolite profile analysis. Among these genes, the product of aedJ was discovered to mediate the conjugation of coenzyme A with a unique actinobacterial C17 estrogenic metabolite, 5-oxo-4-norestrogenic acid. However, proteobacteria were found to exclusively adopt an α-oxoacid ferredoxin oxidoreductase (i.e., the product of edcC) to degrade a proteobacterial C18 estrogenic metabolite, namely 3-oxo-4,5-seco-estrogenic acid. We employed actinobacterial aedJ and proteobacterial edcC as specific biomarkers for quantitative polymerase chain reaction (qPCR) to elucidate the potential of microbes for estrogen biodegradation in contaminated ecosystems. The results indicated that aedJ was more abundant than edcC in most environmental samples. Our results greatly expand the understanding of environmental estrogen degradation. Moreover, our study suggests that qPCR-based functional assays are a simple, cost-effective, and rapid approach for holistically evaluating estrogen biodegradation in the environment. © 2023, The Authors. All rights reserved.

关键词： Genes

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Characterization of vulnerability of road networks to fluvial flooding using SIS network diffusion model

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Journal of Infrastructure Preservation and Resilience 2020年第1期1卷 1-13页

作者： Abdulla, Bahrulla Kiaghadi, Amin Rifai, Hanadi S. Birgisson, Bjorn Zachry Department of Civil Engineering Texas A & ampM University 3136 TAMU College StationTX77843 United States Research Associate Oden Institute for Computational Engineering and Sciences University of Texas at Austin AustinTX78712 United States Environmental Engineering Graduate Program N138 Engineering Building 1 HoustonTX77204-4003 United States

This study aims to characterize the vulnerability of road networks to fluvial flooding using a network diffusion-based method. Various network diffusion models have been applied widely for modeling the spreading of contagious diseases or capturing opinion dynamics in social networks. By comparison, their application in the context of physical infrastructure networks has just started to gain some momentum, although physical infrastructure networks also exhibit diffusion-like phenomena under certain stressors. This study applies a susceptible-impacted-susceptible (SIS) diffusion model to capture the impact of flooding on the road network connectivity. To that end, this paper undertook the following four steps. First, the road network was modeled as primal graphs and nodes that were flood-prone (or the origins of the fluvial flood) were identified. Second, temporal changes in the flood depth within the road network during a flooding event were obtained using a data-driven geospatial model. Third, based on the relationship between vehicle speed and flood depth on road networks, at each time step, the nodes in the road network were divided into two discrete categories, namely functional and closed, standing for Susceptible and Impacted in the SIS diffusion model, respectively. Then, two parameters of the SIS model, average transition probabilities between states, were estimated using the results of the hydraulic simulation. Fourth, the robustness of the road network under various SIS diffusion scenarios was estimated, which was used to test the statistical significance of the difference between the robustness of the road network against diffusions started from the randomly chosen nodes and nodes with different high centrality measures. The methodology was demonstrated using the road network in the Memorial super neighborhood in Houston. The results show that diffusive disruptions that start from nodes with high centrality values do not necessarily cause a more significan

关键词： Floods

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Densified mixture design algorithm: A novel mix design concept and its application for green concretes incorporating industrial by-products

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environmental Progress and Sustainable Energy 2023年第4期42卷

作者： Nguyen, Tan-Hung Limongan, Andrian H. Nguyen, May Huu Hwang, Chao-Lung Huynh, Trong-Phuoc Department of Civil Engineering Can Tho University of Technology Can Tho Viet Nam Department of Civil and Construction Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Bridge and Tunnel Faculty of Civil Engineering University of Transport Technology Hanoi Viet Nam Civil and Environmental Engineering Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima Japan Taiwan Building Technology Center National Taiwan University of Science and Technology Taipei Taiwan Faculty of Civil Engineering College of Engineering Can Tho University Can Tho Viet Nam

Despite the fact that densified mixture design algorithm (DMDA) has been identified as a promising tool for green concrete mix design, its use in real practice has still been minimal worldwide. Due to the lack of precise information on DMDA computation in earlier studies, this work proposes DMDA including fly ash and ground granulated blast-furnace slag as a viable way to improve the long-term performance of green concrete. To encourage the use of DMDA, this study offers a detailed description of the DMDA mix design, as well as a step-by-step standard operating procedure and an empirical example of the computation. Assessments of the long-term performance of green mixtures (self-consolidating concrete and high-performance concrete) and ordinary Portland cement concrete (designed using the conventional method of American Concrete Institute, ACI) were made. Performances of the ACI (O6000 mixture) and DMDA concretes (S6000 and H6000 mixtures) were then compared in terms of compressive strength, elastic modulus, shrinkage, and creep strain. As a result, all of the concrete samples attained the target strength of above 41 MPa (6000 psi) after only 28 days. Moreover, compressive strength, elastic modulus, shrinkage, and creep strain increased significantly in all of the concretes over curing time. Importantly, the experimental results confirmed that both types of DMDA concrete exhibited higher compressive strength and better long-term performance than the ACI concrete under elastic modulus, creep, and shrinkage aspects. © 2023 American Institute of Chemical Engineers.

关键词： Compressive strength

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Title Biodecolorization of Biogas Power Plant Effluent Derived from Anaerobically Digested Distillery Wastewater by Natural Selected Pseudomonas Putida from Activated Sludge of the Wastewater Treatment Plant

SSRN

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SSRN 2023年

作者： Kumkaew, Ponruedee Suaisom, Pitchaya Mukkata, Kanokwan Koonaphapdeelert, Sirichai Sawatdeenarunat, Chayanon Nitayavardhana, Saoharit Master’s Degree Program in Environmental Engineering Faculty of Engineering Chiang Mai University Chiang Mai50200 Thailand Graduate School Chiang Mai University Chiang Mai50200 Thailand Energy Research and Development Institute – Nakornping Chiang Mai University Chiang Mai50200 Thailand Department of Environmental Engineering Faculty of Engineering Chiang Mai University Chiang Mai50200 Thailand Asian Development College for Community Economy and Technology Chiang Mai Rajabhat University Chiang Mai50300 Thailand Center of Excellence in Materials Science and Technology Chiang Mai University Chiang Mai50200 Thailand

The main aim of this study was to utilize naturally selected Pseudomonas putida strains isolated from activated sludge in a wastewater treatment plant, for the purpose of bioremediation of biogas effluent to remove organic content and color. Biogas effluent from anaerobically digestion of distillery wastewater treated with P. putida at the best evaluated condition (sample concentration of 50% v/v, agitation and aeration rates of 250 rpm and 1.0 vvm for 6 days) showed significant decolorization and organic removal efficacies of 34.29 ± 0.87% and 38.94 ± 0.63%, respectively. Bioremediation efficiency was dependent on bacterial growth which organic content in sample and dissolved oxygen during cultivation were key factors. The natural selected bacterium could tolerate higher organic content and work synergistically with other indigenous microorganisms found in the biogas effluent. Consequently, bioremediation of biogas effluent by natural selected P. putida is feasible to apply in biogas power plant where sterilization is not necessary in the process. © 2023, The Authors. All rights reserved.

关键词： Bioremediation

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Preparation of a New Hybrid Mgalldh@Magnetite Activated Charcoal by Hydrothermal Method for Stability and Adsorption Mechanism of Congo Red

SSRN

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SSRN 2024年

作者： Ahmad, Nur Kameda, Tomohito Rahman, Mir Tamzid Rahman, Farzana Lesbani, Aldes Graduate School of Mathematics and Natural Science FMIPA Universitas Sriwijaya Sumatera Selatan Palembang30139 Indonesia Research Center of Inorganic Materials and Complexes Universitas Sriwijaya Sumatera Selatan Palembang30139 Indonesia Graduate School of Environmental Studies Tohoku University 6-6-20 Aoba Aramaki Aobaku Sendai980-8579 Japan Department of Chemistry Jahangirnagar University Dhaka Savar1342 Bangladesh Department of Nutrition and Food Engineering Daffodil International University Birulia1216 Bangladesh Master Program of Material Science Graduate School of Universitas Sriwijaya Sumatera Selatan Palembang30139 Indonesia

Background The removal of hazardous dyes from water by magnetic adsorbents has received significant interest due to their low cost and ease of separation from the solution phase. This study explores the efficacy of a novel hybrid adsorbent, magnetite and activated charcoal-modified MgAl layered double hydroxide (MgAlLDH@MAC), for removing congo red (CR) from aqueous solutions. Methods MgAlLDH@MAC was successfully prepared via a co-precipitation to hydrothermal method and characterized using FE-SEM, FE-STEM, VSM, BET, XRD, FTIR, XPS, and HPLC analysis. Significant findings The incorporation of magnetite and activated charcoal was successful, resulting in excellent adsorption performance for CR and easy separation from the solution due to its magnetic properties. The adsorbent achieved a maximum adsorption capacity of 625 mg/g, which is in line with the Langmuir isotherm and pseudo-second-order kinetic model. Moreover, the adsorbent demonstrated excellent stability and reusability, retaining 91.78% efficiency after five adsorption-desorption. This study offers a fresh viewpoint on creating high-performance LDH adsorbents that remove dyes quickly and effectively using carbon and magnetite materials. © 2024, The Authors. All rights reserved.

关键词： Magnetite

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Risk assessment of a Brazilian urban population due to the exposure to pyrethroid insecticides during the COVID-19 pandemic using wastewater-based epidemiology

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Chemosphere 2023年 345卷 140526页

作者： Lizot, Lilian de Lima Feltraco Bastiani, Marcos Frank Hahn, Roberta Zilles Meireles, Yasmin Fazenda Freitas, Mariana Bondan, Amanda Pacheco do Nascimento, Carlos Augusto Quevedo, Daniela Muller Linden, Rafael Laboratory of Analytical Toxicology Universidade Feevale Rua Rubem Berta 200 Novo HamburgoCEP 93525-080 Brazil Department of Production Engineering Faculdades Integradas de Taquara Av. Oscar Martins Rangel 4500 TaquaraCEP 95612-150 Brazil Graduate Program on Environmental Quality Universidade Feevale Rodovia RS 239 2755 Novo HamburgoCEP 93525-075 Brazil

Pyrethroids are synthetic insecticides commonly used in agriculture and homes due to their low toxicity to mammals and effectiveness at low doses. However, exposure to pyrethroids can cause various symptoms, depending on the route of exposure. To measure human exposure to pyrethroids, researchers used wastewater-based epidemiology (WBE) with polar organic chemical integrative samplers (POCIS) sampling. This approach is a cost-effective and efficient way to assess exposure to pyrethroids. The study aimed to evaluate the exposure of an urban population in Brazil to pyrethroids during the COVID-19 pandemic using WBE with POCIS sampling. Researchers analyzed 3-phenoxybenzoic acid (3-PBA) in wastewater using passive sampling with POCIS, which was extracted with methanol and analyzed using UPLC-MS/MS. The range of CTWA concentrations of 3-PBA in wastewater was 24.3–298.2 ng L−1, with a mean value of 134 ± 76.5 ng L−1. The values were used to estimate the exposure of the population to pyrethroid insecticides. Three different conversion factors were applied to determine the range of exposure to at least 20 different pyrethroid insecticides. The exposure values ranged from 18.08 to 1441.49 mg day−1 per 1000 inhabitants. The toxicological risk posed to the exposed population was evaluated by calculating the WBE toxicological level (WBE-TL). Lambda-cyhalothrin was used as a reference for risk assessment, and the WBE-TL values for lambda-cyhalothrin ranged from 0.5 to 8.29 (considering the high CF). We compared mobility trends to 3-PBA exposure during the COVID-19 pandemic. The study highlighted the effectiveness of POCIS sampling in WBE and provided useful information for policymakers and regulatory agencies. POCIS sampling has practical advantages, including analyte pre-concentration, low operational cost, and ease of use. Overall, the study shows the importance of monitoring and understanding the exposure of the population to pyrethroid insecticides, especially during the pa

关键词： COVID-19

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The effect of thermal pre-Treatment on cassava rhizome properties for utilizing as green fuel in gasification 5

The effect of thermal pre-Treatment on cassava rhizome prope...

引用

2020 5th International Conference on Sustainable and Renewable Energy engineering, ICSREE 2020

作者： Sirinwaranon, Punchaluck Atong, Duangduen Sricharoenchaikul, Viboon Interdisciplinary Program in Environmental Science Graduate School Chulalongkorn University Bangkok10330 Thailand National Science and Technology Development Agency [NSTDA Thailand Science Park Pathum Thani12120 Thailand Department of Environmental Engineering Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand

Cassava rhizome (CR) was torrefied to provide superior solid fuel quality for further gasification process. The torrefaction was carried out in the absence of oxygen at 220, 240, 260, and 280°C with a fixed residence time. Solid fuel after torrefaction has a higher calorific value from that of reduced volatile matters. The optimum energy yield of torrefied CR is 88.16% at 260°C. The heating value of 20.86 MJ/kg for a torrefied product can be achieved compared to 15.37 MJ/kg for untreated CR. The subsequent gasification of torrefied CR at temperature of 800°C yielded the highest gas product of 65 wt.%. The carbon and hydrogen conversions into CO and H2 were 14.28% and 29.95%, respectively. Synthesis gas (syngas) from the conversion maintained the H2/CO ratio of around 2-2.50, which is suitable for the Fischer-Tropsch process or can be used as the feedstock for petrochemical industry. © The Authors, published by EDP Sciences, 2020.

关键词： Gasification

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The 2020 power blackout in the brazilian state of amapá: Lessons learned and opportunities

The 2020 power blackout in the brazilian state of amapá: Le...

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2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021

作者： Do Prado, Josue Campos Santos, Marcos Vinicius Ramos, Lucas Feksa Canha, Luciane Neves Konzen, Gabriel School of Engineering Computer Science Washington State University VancouverWA98686 United States School of Engineering Newcastle University Newcastle Upon TyneNE1 7RU United Kingdom Federal University of Rondônia Department of Electrical Engineering Porto Velho Brazil Graduate Program in Electrical Engineering Federal University of Santa Maria Santa Maria Brazil Division of Energy Economics and Environmental Studies Rio de Janeiro Brazil

ISBN: (纸本)9781665444217

The Brazilian state of Amapa=-notable for having 70% of its area consisting of unexplored Amazonian forests-experienced a massive power blackout in November 2020. An internal short-circuit in a transformer led to an explosion followed by a fire at the Macapa substation. This event left about 90% of the Amapa's population without power for several days in the middle of the COVID-19 pandemic, disrupting the lives of hundreds of thousands of people and raising concerns from several electricity sector stakeholders. This paper discusses select lessons learned from the power blackout and presents future opportunities to improve power system reliability and resilience for the grids in Amapá, and other similar Brazilian states, with a special focus on the increasingly important role of of distributed energy resources and smart grid technologies. © 2021 IEEE.

关键词： Outages

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