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Synergistic effect of silicon availability and salinity on metal adsorption in a common estuarine diatom

Journal of environmental sciences 2025年第2期148卷 364-374页

作者： Fengyuan Chen Jie Ma Ke Pan SZU-HKUST Joint PhD Program in Marine Environmental Science Shenzhen UniversityShenzhen 518060China Shenzhen Key Laboratory of Marine Microbiome Engineering Institute for Advanced StudyShenzhen UniversityShenzhen 518060China Department of Ocean Science The Hong Kong University of Science and TechnologyHong Kong 999077China

Increasing nitrogen and phosphorus discharge and decreasing sediment input have made silicon(Si)a limiting element for diatoms in *** in nutrient structure and salinity fluctuation can greatly affect metal uptake by estuarine ***,the combined effects of Si and salinity on metal accumulation in these diatoms have not been *** this study,we aimed to investigate how salinity and Si availability combine to influence the adsorption of metals by a widely distributed diatom Phaeodactylum *** data indicate that replete Si and low salinity in seawater can enhance cadmium and copper adsorption onto the diatom *** the single-cell level,surface potential was a dominant factor determining metal adsorption,while surface roughness also contributed to the highermetal loading capacity at lower *** a combination of noninvasive micro-test technology,atomic force microscopy,X-ray photoelectron spectroscopy,and Fourier transform infrared spectroscopy,we demonstrate that the diversity and abundance of the functional groups embedded in diatom cell walls vary with salinity and Si *** results in a change in the cell surface potential and transient metal *** study provides novel mechanisms to explain the highly variable metal adsorption capacity of a model estuarine diatom.

关键词： Diatom Metal adsorption Silicon Salinity Functional group Surface potential

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Prediction Tool on Fine Particle Pollutants and Air Quality for environmental Engineering

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SN Computer science 2022年第3期3卷 184页

作者： Varde, Aparna S. Pandey, Abidha Du, Xu Dept. of Computer Science Environmental Science and Management PhD Program Montclair State University Montclair NJ United States Visiting Researcher at Max Planck Institute for Informatics Saarbrücken Germany Department of Computer Science Montclair State University Montclair NJ United States Department of Earth and Environmental Science Environmental Science and Management PhD Montclair State University Montclair NJ United States

This article focuses on the research, design and implementation of a prediction tool for air quality to estimate pollutant concentrations, contributing to environmental engineering. It addresses prediction of fine particle air pollutants of diameter less than 2.5 µm (particulate matter 2.5), their concentration being substantially influenced by urban traffic. We collect worldwide multicity data from health-related public sources on which mining is performed using classical data mining/machine learning paradigms: association rules, clustering and classification. Challenges include adapting appropriate techniques based on data, and capturing subtle domain-specific aspects. The prediction tool is built using knowledge discovered by mining, leveraging health standards, catering to novice, intermediate and expert users. The prediction output is accurate, efficient, interpretable and useful as evident from our experiments. The tool is helpful for urban decision support. This work is beneficial in developing software systems such as intelligent tutors, mobile device apps and smart city tools. It contributes to smart environment, mobility and living, making a positive impact on smart cities and sustainability. In this work, we claim that classical computational paradigms in their fundamental form can be adapted to solve environmental engineering problems, with easy comprehension, as per the Occam’s razor principle that advocates simplicity. This article constitutes applied research: using computational techniques to solve domain-specific problems. Future work includes exploring models in deep learning such as CNN and Bi-LSTM, and considering different types of pollutants as well as other sources besides multicity traffic data, to conduct further studies. This would address additional challenges with enhancements. © 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Applied research Decision support environmental engineering Health informatics Machine learning Urban studies

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Genomic and transcriptomic dissection of Theionarchaea in marine ecosystem

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science China(Life sciences) 2022年第6期65卷 1222-1234页

作者： Mingwei Cai Changhai Duan Xinxu Zhang Jie Pan Yang Liu Cuijing Zhang Meng Li Archaeal Biology Center Shenzhen Key Laboratory of Marine Microbiome EngineeringInstitute for Advanced StudyShenzhen UniversityShenzhen 518060China SZU-HKUST Joint PhD Program in Marine Environmental Science Shenzhen UniversityShenzhen 518060China

Theionarchaea is a recently described archaeal class within the *** it is widely distributed in sediment ecosystems,little is known about its metabolic potential and ecological ***,we used metagenomics and metatranscriptomics to characterize 12 theionarchaeal metagenome-assembled genomes,which were further divided into two subgroups,from coastal mangrove sediments of China and seawater columns of the Yap *** analysis revealed that apart from the canonical sulfhydrogenase,Theionarchaea harbor genes encoding heliorhodopsin,group 4[NiFe]-hydrogenase,and flagellin,in which genes for heliorhodopsin and group 4[NiFe]-hydrogenase were transcribed in mangrove ***,the theionarchaeal substrate spectrum may be broader than previously reported as revealed by metagenomics and metatranscriptomics,and the potential carbon substrates include detrital proteins,hemicellulose,ethanol,and CO_(2).The genes for organic substrate metabolism(mainly detrital protein and amino acid metabolism genes)have relatively higher transcripts in the top sediment layers in mangrove *** addition,co-occurrence analysis suggested that the degradation of these organic compounds by Theionarchaea might be processed in syntrophy with fermenters(e.g.,Chloroflexi)and ***,these observations expand the current knowledge of the metabolic potential of Theionarchaea,and shed light on the metabolic strategies and roles of these archaea in the marine ecosystems.

关键词： Theionarchaea metagenome metatranscriptome metabolic potentials ecological roles

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Linking Alternative Fuel Vehicles Adoption with Socioeconomic Status and Air Quality Index

arXiv

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arXiv 2023年

作者： Singh, Anuradha Yadav, Jyoti Shrestha, Sarahana Varde, Aparna S. Environmental Science and Management PhD Program Department of Computer Science Montclair State University MontclairNJ07043 United States

Understanding adoption of new technology by its consumers helps us deal with the challenges it faces in any new market. Moreover, the impact it creates on society in terms of the environment, health, and justice is significantly based on the extent of adoption. Alternative fuel vehicles (AFVs) is such an area that faces challenges in terms of consumers’ diverse social status and resistance to change. In order to achieve a cleaner transportation sector, we need to address these challenges. In this paper, we conduct a study via machine learning techniques to correlate the adoption of AFVs across various regions, their socioeconomic ranking, and their impact on the air quality index (AQI);and furthermore to predict the AQI as per the region’s AFV adoption. This is an empirical study with predictive modeling based on a regional panel data analysis where we use real US census data, air quality data, and data on the number of AFVs purchased per region. Research in this area can help to promote appropriate policies for AFV adoption in the future with due justice to different population groups. This work exemplifies a modest utilization of AI techniques to enhance social good. More specifically, it makes a considerable impact on energy, climate, transportation, and environmental sustainability. © 2023, CC BY.

关键词： Population statistics

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DEEP LEARNING-BASED APPROACH FOR ANNUAL CHANGE DETECTION AND OPEN PIT COAL MINE DETECTION USING SATELLITE IMAGERY 44

DEEP LEARNING-BASED APPROACH FOR ANNUAL CHANGE DETECTION AND...

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44th Asian Conference on Remote Sensing, ACRS 2023

作者： Prasetya, Koni Dwi Tsai, Fuan International PhD Program in Environmental Science and Technology National Central University 300 Jhongda Rd. Jhongli Taoyuan32001 Taiwan Center for Space and Remote Sensing Research National Central University 300 Jhongda Rd. Jhongli Taoyuan32001 Taiwan

ISBN: (纸本)9781713893646

This study introduces a novel deep learning-based method for detecting open pit coal mines in medium high (MH)resolution satellite imagery and analyzing annual variations in coal mining areas. The study aims to monitor and precisely identify coal mines, given their vital function as a primary energy source and a significant contributor to greenhouse gas emissions. The proposed method employs the U-Net architecture and ResNet 34 as its backbone for accurate detection and classification. The applied dataset consists of multispectral imagery from Sentinel-2 and synthetic aperture radar (SAR) imagery from Sentinel-1. Manual labelling of known coal mine locations using mining data as a reference, subdividing Sentinel image patches for training U-Net convolutional neural networks (CNNs) to classify coal mine and non-coal mine areas, and training and testing U-Net architecture and ResNet as a backbone deep learning model are the three essential steps involved in the process. The classification accuracy of the coal mining detection deep learning model is 97%, and the kappa value is 0.91. Preliminary results indicate that the investigation demonstrates the evolution of coal mining from 2016 to 2021, with an increase of over 40% in coal mining area in 2019. In 2017 and 2020, the area mined for coal will decrease. Variations in annual coal mining variations emphasize the significance of replanting efforts. The proposed method uses deep learning and satellite imagery to provide an accurate and efficient solution for detecting and monitoring open-pit coal mines. Incorporating artificial intelligence into dynamic coal mining activities yields valuable insights that aid in making informed decisions for sustainability. © 2023 ACRS. All Rights Reserved.

关键词： Artificial Intelligence Coal Mine Deep Learning Monitoring Multispectral SAR Sentinel Supervised Classification U-Net

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DEEP SOUTH URBAN AMBIENT PARTICULATE MATTER INDUCES CYTOTOXIC AND INFLAMMATORY RESPONSES IN A549 CELLS

Biomedical Sciences Instrumentation

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Biomedical sciences Instrumentation 2024年第2期60卷 188-201页

作者： Pacurari, M. Cox, I. Kafoury, R. Komolafe, K. Kodedoye, O. Farah, I. Department of Biology College of Science Engineering and Technology Jackson State University JacksonMS39217 United States Environmental Science PhD Program College of Science Engineering and Technology Jackson State University JacksonMS39217 United States RCMI Center for Environmental Health College of Science Engineering and Technology Jackson State University JacksonMS39217 United States

Exposure to ambient air pollution component particulate matter (PM) in urban environments has been associated with adverse health effects to the exposed population. This study aimed to investigate the cytotoxic and inflammatory responses of lung A549 cells to ambient particulate matter (PM) extracts (EE) collected from a geographical site in south of city limits of Jackson, Mississippi. PM was collected from the site, extracted, and characterized for chemical composition and microscopic analysis using SEM. Following characterization, the EE was used to treat A549 cells, and various cellular responses were assessed. Our SEM analysis of EE indicated the presence of micrometer-sized particles, and elemental analysis indicated the presence of elements such as C, Si, Fe, S, N, P, and Ca. Cell viability decreased in a dose- and timedependent manner following exposure to EE. Inflammatory gene IL-1β, chemokine CCL-18 and MIP-1, and transcription factor NF-кB were upregulated by EE. EE also increased the level of ROS and mitochondria. In conclusion, our data indicates that EE is cytotoxic, inflammatory, and an oxidant to lung cells Also, the findings of the present study highlight the potential health risks associated with exposure to air pollution and inflammatory lung disease. © 2024 IAE All rights reserved.

关键词： Lung cancer

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Effects of ambient silicic acid concentration on the physiology of marine cyanobacterial Synechococcus

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Marine environmental Research 2025年 209卷 107220页

作者： Ou, Qiang Xu, Huo Zhang, Zhen Ma, Jie Pan, Ke Shenzhen Key Laboratory of Marine Microbiome Engineering Institute for Advanced Study Shenzhen University Shenzhen China SZU-HKUST Joint PhD Program in Marine Environmental Science Shenzhen University Shenzhen China Department of Ocean Science The Hong Kong University of Science and Technology Hong Kong

The marine cyanobacterium Synechococcus can accumulate significant amounts of silicon (Si) within its cells, potentially contributing to the vertical transport of biogenic Si in the ocean. This has prompted interest in understanding the uptake, subcellular distribution, and chemical forms of Si in Synechococcus. The surprisingly high intracellular Si concentration could have important impacts on Synechococcus physiology, but these effects have been relatively unexplored. In this study, we investigated the effects of external Si concentrations, [Si(OH)4], on the cell physiology of two strains of Synechococcus (CC9311 and WH7803). Increased ambient [Si(OH)4] significantly enhanced total cellular and water-soluble Si content in Synechococcus, but had little effect on their growth. However, the cell size, volume and photosynthetic performance were significantly reduced in strain WH7803, indicating some harmful effects in the cell. Increases in ambient [Si(OH)4] also altered the Derjaguin-Muller-Toporov (DMT) modulus, adhesion, surface potential and elemental composition of the Synechococcus cells. Notably, significant changes in area-specific adsorbed metals and volume-specific metal content were observed at higher [Si(OH)4] levels, suggesting Si availability in seawater could markedly impact the interactions between Synechococcus cell and environment. Overall, this study provides new insights into the physiological adaptations of marine cyanobacterium Synechococcus to varying environmental silicic acid concentrations. © 2025 Elsevier Ltd

关键词： Psychophysiology

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MiR-1 Is Regulated by Hydrogen Peroxide via MAPK and Limits Cell Migration and Invasion

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environmental Toxicology 2025年 2025 May 16页

作者： Pacurari, Maricica Cox, Irmanecia Farah, Ibrahim Department of Biology College of Science Engineering and Technology Jackson State University JacksonMS United States RCMI Center for Environmental Health College of Science Engineering and Technology Jackson State University JacksonMS United States Environmental Science PhD Program College of Science Engineering and Technology Jackson State University JacksonMS United States

MicroRNA-1 (miR-1) is a conserved microRNA that is highly expressed in skeletal and cardiac muscle tissues. Moreover, miR-1 regulates genes and has critical roles in cell migration and invasion. Downregulation of miR-1 has been found in many pathologies of numerous organs, including the lungs. What exactly contributes to the downregulation of miR-1 is not fully understood, and in the present study, we investigated whether ROS regulate miR-1 and its role in cell migration and invasion. A549 cells were grown and maintained in DMEM:F12 (1:1) and supplemented with 10% FBS and 1000 U of Penicillin/Streptomycin and maintained as recommended by the manufacturer (ATCC). Cell migration and invasion, IHC, Western blot, qPCR, ROS, miR-1 transfection, and qPCR were used to determine miR-1 regulation and its role in cell migration. Exogenous miR-1 decreased the formation of ROS and inhibited cell migration and invasion, whereas inhibition of miR-1 increased ROS formation and stimulated cell migration and invasion. Inhibition of miR-1 induced the formation of actin filaments contractile structures, whereas exogenous miR-1 limited the formation of these structures. Hydrogen peroxide significantly decreased miR-1 level, whereas inhibition of Nox4 had no effect on miR-1 level. Alpha amanitin did not decrease miR-1 level, whereas inhibition of NF-кB temporally decreased miR-1 level. This study demonstrates that ROS suppress miR-1 and that miR-1 is posttranscriptionally regulated via MAPK. Endogenous Nox4-dependent ROS are not involved in miR-1 regulation, whereas exogenous ROS regulates miR-1. NF-κB plays a key role in miR-1 regulation in both redox and nonredox environments. Moreover, Mir-1 limits cell migration and invasion even in the presence of ROS. TSP-1 is a major regulator of TGFβ and its expression is upregulated by ROS. Our work indicates ROS is a major regulator of miR-1 and TSP-1 and could be a potential therapeutic target to limit ROS- and non-ROS-mediated processes in l

关键词： Redox reactions

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LONG-TERM RECAPTURE OF WESTERN PAINTED TURTLE (CHRYSEMYS PICTA BELLII): LONGEVITY IMPLICATIONS

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Northwestern Naturalist 2023年第1期104卷 72-76页

作者： Laura B Guderyahn Elaine M Stewart Sue G Beilke Catherine de Rivera Marc P Hayes Earth Environment and Society PhD Program Department of Environmental Science and Management Portland State University Portland OR 97207 USA (LBG) Metro – Conservation Program Portland OR 97232 USA (EMS) Independent Ecologist Tigard OR 97223 USA (SGB) Department of Environmental Science and Management Portland State University Portand OR 97207 USA (CDR) Aquatic and Herpetological Research LLC Eagle Point OR 97524 USA (MPH) .

Western Painted Turtles (Chrysemys picta bellii) are 1 of only 2 native turtles in the Pacific Northwest. In October 2021, we recaptured an adult male 21 y after it was initially marked. In 2000, it had at least 9 annuli, indicating an age of at least 30 y in 2021. This approximates only half the maximum known age for the larger C. picta species complex east of the continental divide (61 y). Further, in 2000, this adult male was 37–43 mm larger than the largest or oldest males recorded from eastern populations of C. p. bellii, which suggests that fundamental differences may exist in growth between eastern and western populations that may reflect different age-size relationships. These relationships, along with longevity data, are foundational to conservation that seeks to understand demography and survival in western populations. Study of eastern populations shows that determination of age limits may span decades, so collaboration for data-sharing over long timelines to understand the patterns in western populations will be crucial.

关键词： age Chrysemys picta bellii longevity marked recapture western North America Western Painted Turtle

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The Scalability of Third Generation Photovoltaics: Deposition Techniques and Modularity

The Scalability of Third Generation Photovoltaics: Depositio...

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2023 Sharjah International Conference on Physics of Advanced Materials, SICPAM 2023

作者： Ayoub, Mohamad Alashkar, Adnan Mdallal, Ayman Ibrahim, Taleb Khamis, Mustafa Alami, Abdul Hai Sustainable and Renewable Energy Engineering Department University of Sharjah Sharjah27272 United Arab Emirates PhD Program in Materials Science and Engineering American University of Sharjah Sharjah26666 United Arab Emirates Department of Chemical Engineering American University of Sharjah Sharjah26666 United Arab Emirates Department of Biology Chemistry and Environmental Sciences College of Arts and Sciences American University of Sharjah Sharjah26666 United Arab Emirates Center for Advanced Materials Research Research Institute of Science and Engineering University of Sharjah Sharjah27272 United Arab Emirates

The development of third-generation photovoltaic (TGPV) technologies promises to address some of the limitations of conventional silicon-based solar cells. However, the scalability of these technologies is a critical factor in their practical application. TGPV include Perovskite Solar Cells (PSC), Organic Solar Cells (OSC), and Dye-Sensitized Solar Cell (DSSC). This paper reviews and summarizes the recent trends and research on the deposition techniques and modularity of TGPV. Various deposition techniques such as slot-die coating, thermal evaporation, and spray pyrolysis are discussed, along with their advantages and limitations. Modularity, which allows for the integration of TGPV cells into different structures, is also examined as a critical factor in scalability. The paper concludes that the scalability of TGPV technologies depends on the development of efficient and cost-effective deposition techniques and modularity, which will facilitate the integration of the TGPV cells into various structures and enable the widespread use of these promising technologies. © Published under licence by IOP Publishing Ltd.

关键词： Perovskite solar cells

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