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Biosynthesis, characterization, and antimicrobial study of zinc oxide nanoparticles using Adonida merrilli leaf extract

Biosynthesis, characterization, and antimicrobial study of z...

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2024 International Conference on Science, engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Owoeye, Taiwo Felicia Bamisaye, Abayomi Adekoya, Joseph Adeyemi Afolalu, Sunday A. Monye, Stella Isioma Oluwatoyin, Ojo Augustine Lead City University Department of Chemical Sciences Ibadan Nigeria Covenant University Department of Chemistry Sango Ota Nigeria Lead City University Faculty of Natural and Applied Sciences Department of Chemical Sciences Ibadan Nigeria Covenant University Department of Chemistry Ota Nigeria Afe Babalola University Department of Mechanical and Mechatronics Engineering Ado-Ekiti Nigeria University of Johannesburg Department of Mechanical Engineering Science South Africa Afe Babalola University Department of Mechanical and Mechatronics Department Ado-Ekiti Nigeria Afe Babalola University Mechanical and Mechatronics Ado-Ekiti Nigeria

ISBN: (纸本)9798350358155

The utilization of plant-mediated methods to synthesize metal oxide nanoparticles (NPs) is becoming increasingly popular due to its simplicity, low cost, and environmental friendliness. Adonida merrilli leaf extracts in aqueous form were used for the production of nanoparticles of zinc oxide (ZnO). scanning electron microscope with energy dispersive X-ray (SEM-EDX), Fourier transform infrared spectrometer (FTIR), X-ray diffractometry (XRD), and UV-Vis spectrophotometer were accustomed to analyze the ZnO nanoparticles. The antibacterial effects of the ZnO NPs was examined on pathogens such Salmonella, Candida, Escherichia coli, Staphylococcus aureus, and Pseudomonas *** indicate spherical crystalline nanoparticles with an average particle size of 73.82 nm. Zinc oxide nanoparticle absorption wavenumber at 715 cm-1 was seen in the FTIR, and EDX chemical mapping confirms the elemental composition of zinc and oxygen. For Candida, Salmonella, Pseudomonas aeruginosa, Escherichia coli, and Staphylococcus aureus measured Zones of Inhibition (ZI) values are 30.00, 36.00, 32.00, 40.00, and 36.00 mm, and the measured Minimum Inhibitory Concentration (MIC) values are 7.81, 1.95, 7.81, 1.95, and 3.90 mg/mL, respectively. The results of this investigation, as shown by the MIC and ZI values, point to the possible use of Adonida merrilli extract in the synthesis of highly crystalline Zinc oxide nanoparticles (ZnONPs) as an alternative medication. © 2024 IEEE.

关键词： Escherichia coli

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New insight into pyrrolic-N site effect towards the first NIR window absorption of pyrrolic-N-rich carbon dots

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Nano Research 2023年第4期16卷 6001-6009页

作者： Fitri Aulia Permatasari Reza Umami Citra Deliana Dewi Sundari Tirta Rona Mayangsari Atthar Luqman Ivansyah Fahdzi Muttaqien Takashi Ogi Ferry Iskandar Department of Physics Faculty Mathematics and Natural SciencesInstitut Teknologi BandungJalan Ganesha 10BandungWest Java 40132Indonesia Collaboration Research Center for Advanced Energy Materials National Research and Innovation Agency-Institut Teknologi BandungJalan Ganesha 10BandungWest Java 40132Indonesia Department of Chemistry Faculty of Mathematics and Natural SciencesInstitut Teknologi BandungJl.Ganesha 10BandungWest Java 40132Indonesia Department of Chemistry Education UIN Sunan Gunung Djati BandungJl.CimincrangBandungWest Java 40292Indonesia Department of Chemistry Universitas PertaminaJakarta 12220Indonesia Master Program in Computational Science Faculty of Mathematics and Natural SciencesInstitut Teknologi BandungJl.Ganesha 10BandungWest Java 40132Indonesia Instrumentation and Computational Physics Research Group Faculty of Mathematics and Natural SciencesInstitut Teknologi BandungJl.Ganesha 10Bandung 40132Indonesia Research Center for Nanoscience and Nanotechnology Institut Teknologi BandungJalan Ganesha 10BandungWest Java 40132Indonesia Chemical Engineering Program Department of Advanced Science and EngineeringGraduate School of Advanced Science and EngineeringHiroshima UniversityHigashi-Hiroshima 739-8527Japan

Controlled C-N configurations,i.e.,pyrrolic-N,pyridinic-N,and graphitic-N,are promising strategies to tailor the carbon dots’(CDs)optical properties into the first near infrared(NIR)window(650-900 nm),a responsive range for biomedical ***,a deep understanding of the role of the C-N configuration in the CDs’properties is still challenging and thoughtprovoking owing to their complex ***,an underlying pyrrolic-N concentration and position effect on the pyrrolic-N-rich CDs’absorption was comprehensively elucidated based on the integrated experimental and computational *** assynthesized pyrrolic-N-rich CDs exhibit a first NIR window absorption centered at 650 nm with high photothermal ***-N concentrations from 1.4%to 11.3%and positions(edge and mid-site)were systematically investigated.A mid-site pyrrolic-N was subsequently generated after the pyrrolic-N concentration more than 10%.Edge-site pyrrolic-N induces a frontier orbital hybridization,reducing bandgap energy,while mid-site pyrrolic-N plays a critical role in inducing a first NIR window absorption owing to their high charge ***,pyrrolic-N-rich CDs inherit a bowl-like topological feature,elevating the CDs’layer thickness as much as 0.71 *** study shed light on the design and optimization of pyrrolic-N on CDs for the first NIR window responsive materials in any biomedical application.

关键词： absorption carbon dots charge transfer first near infrared(NIR)window frontier orbital hybridization mid-site pyrrolic-N

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Development of STEM project-based learning student worksheet for Physics learning on renewable energy topic 12

Development of STEM project-based learning student worksheet...

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12th International Physics Seminar, IPS 2023

作者： Muliyati, D. Prastiawan, F. Mutoharoh, M. Department of Physics Education Faculty of Mathematics and Natural Sciences Universitas Negeri Jakarta East Jakarta13220 Indonesia Industry Engineering Study Program Universitas Krisnadwipayana Jatiwaringin Bekasi13077 Indonesia

This research is motivated by the development of education in the 21st-century, which demands students to master the 4C skills (creative thinking, critical thinking, collaboration, and communication), particularly in the field of physics. The nature of physics learning requires active and interactive teaching methods that can be implemented through project-based activities for students. One effective instructional media is the student worksheet designed based on STEM-PjBL (science, technology, engineering, and mathematics project-based learning) principles. This research aims to assess the suitability of STEM-PjBL student worksheets as a learning media, which can serve as a recommendation to assist teachers in teaching renewable energy topics. This study uses the ADDIE model to adopt the Research and Development (R&D) method. This research results in a STEM-PjBL student worksheet as a physics learning media to understand renewable energy topics. The STEM-PjBL student worksheet is expected to assist students in mastering 21st-century skills effectively. © Published under licence by IOP Publishing Ltd.

关键词： Students

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Synergetic effects of multiple junction and surface hydroxyl in Cu/CuO/Cu2O/TiO2 heterostructures towards highly efficient photocatalysts for hydrogen generation

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Materials Science for Energy Technologies 2025年 8卷 131-142页

作者： Subagyo, Riki Anindika, Garcelina Rizky Aufkani, Afif Akmal Zhang, Lei Ardhyananta, Hosta Burhan, R.Y. Perry Nugraheni, Zjahra Vianita Akhlus, Syafsir Bahruji, Hasliza Prasetyoko, Didik Wellia, Diana Vanda Ivansyah, Atthar Luqman Arramel Kusumawati, Yuly Department of Chemistry Faculty of Science and Analytic Data Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Center of Excellence Applied Physics and Chemistry Nano Center Indonesia Jl PUSPIPTEK South Tangerang Banten15314 Indonesia Department of Physics National University of Singapore Singapore117551 Singapore Department of Materials and Metallurgical Engineering Faculty of Industrial Technology and Systems Engineering Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Centre of Advanced Material and Energy Science Universiti Brunei Darussalam Jalan Tungku Link BE 1410 Brunei Department of Chemistry Faculty of Mathematics and Natural Sciences Universitas Andalas Padang25163 Indonesia Master Program in Computational Science Faculty of Mathematics and Natural Science Institut Teknologi Bandung Jalan Ganesha No. 10 Bandung40132 Indonesia Instrumentation and Computational Physics Research Group Department of Physics Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung Jalan Ganesha No.10 West Java Bandung40132 Indonesia

The implementation of titanium dioxide (TiO2) as a photocatalyst material in hydrogen (H2) evolution reaction (HER) has embarked renewed interest in the past decade. Rapid electron-hole pairs recombination and wide band gap of a photo-sensitive material of TiO2 are detrimental toward the targeted catalytical reaction. In this study, we present the rational design, fabrication, photocatalytic performance of TiO2-Cu/CuO/Cu2O heterostructures (CuTi) using viable chemical reduction method. The Z-scheme and S-scheme are succesfully generated across the TiO2/CuO/Cu2O interfaces, while the Schottky junction arises on the Cu perimeters. This is evidenced from the blue shifted about 0.3 eV of Cu 2p core level determined by using X-ray photoemission spectroscopy (XPS), in combination with the formation of inverse V-shape of the Mott-Schottky plots. In addition, we find that Cu/CuO/Cu2O facilitates photon absorption range up to the visible region. The multiple heterojunction and the large number of OHsurface enhanced charge carrier transfer are associated to the suppression of photoluminescence (PL) intensity, high surface hydroxyl (OHsurface) density in CuTi probed by XPS, and fast electron transfer based on the electrochemical measurements. The presence of OHsurface inhibits the recombination of electron. A significant H2 photogeneration rate enhancement is achieved when an optimized 5 wt% Cu/CuO/Cu2O concentration is used on TiO2 to achieve 7,157.19 μmol·g−1 (1,789.30 μmol·g−1·h−1). Based on this finding, zero emission energy innitiative could be materialized under multiple heterojunctions in photocatalytic process is beneficial for enhancing the H2 production. © 2025 The Authors

关键词： Titanium dioxide

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Synthesis and Characterization of Graphitic Carbon Nanostructures from Cellulose Extraction of Durian Peel Waste 2

Synthesis and Characterization of Graphitic Carbon Nanostruc...

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2nd International Conference on Physics and Applied Physics, ICP and AP 2023

作者： Marlina, H.A. Noer, Z. Purwasasmita, B.S. Department of Physics Faculty of Mathematics and Natural Sciences Jl. Bioteknologi No. 1 Universitas Sumatera Utara Medan20155 Indonesia Engineering Physics Study Program Faculty of Industrial Technology Jl. Ganesha 10 Institut Teknologi Bandung Bandung40132 Indonesia

The synthesis of graphitic carbon nanostructures from cellulose extraction of durian peel waste has been successfully carried out in this study. This study aim to produce the graphitic carbon nanostructures to give innovative solutions to the renewable energy storage challenge. Durian peel cellulose was synthesized into graphitic carbon nanostructures through catalytic graphitization method. 4.8 grams of durian peel cellulose was hydrocharred at 200°C for 4 hours, then impregnated using Fe(NO3).9H2O and ethanol for 90 minutes. The sample was then precipitated for 12 hours and dried at 60°C. The sample was pyrolysed at 900°C for 3 hours. Characterization was carried out using TEM and XRD. Characterization TEM showed the morphological characteristics of graphitic carbon nanostructures in the form of coils in uneven amounts with the avarage diameter size is 24.9134 nm. In addition, the XRD characterization results also strengthen the characteristic phase of graphitic carbon nanostructures at 2θ 26.5° and 44.7°, although nanoparticles from Fe catalysis are visible in the sample due to the absence of reflux. © Published under licence by IOP Publishing Ltd.

关键词： Sodium

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A Performance Study of Selected Machine Learning Techniques for Predicting Heart Diseases 2nd

A Performance Study of Selected Machine Learning Techniques ...

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2nd International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

作者： Olorunfemi, Blessing Oluwatobi Ogunde, Adewale Opeoluwa Adeniyi, Abidemi Emmanuel Awotunde, Joseph Bamidele Imoize, Agbotiname Lucky Li, Chun-Ta Faculty of Natural Sciences Department of Computer Science Redeemer’s University Osun Nigeria Department of Computer Science Bowen University Iwo Nigeria Faculty of Information and Communication Sciences Department of Computer Science University of Ilorin Ilorin240003 Nigeria Faculty of Engineering Department of Electrical and Electronics Engineering University of Lagos Lagos Akoka100213 Nigeria Bachelor’s Program of Artificial Intelligence and Information Security Fu Jen Catholic University New Taipei City24206 Taiwan

ISBN: (纸本)9789819777853

Heart Disease remains a leading cause of mortality worldwide. It alarmingly rises at a quick rate, making early heart disease prediction crucial for effective prevention and timely intervention. Heart disease diagnosis is a difficult process that requires technical skills and accuracy to complete. With improvements in technology, computing has lent its voice to simplify the diagnosis of various health problems. Machine learning uses past or existing history to predict future results. Various machine learning techniques have been developed over the years and used in predicting heart diseases with various levels of performance. Identifying the best-suited machine learning technique to use for prediction purposes can be a challenging task. This research work analyses the performance of seven (7) machine learning techniques, comprising AdaBoost Algorithm, KNN, Logistic Regression, Naïve Bayes Classifier, Random Forest, SVM, and XGBoost. The heart disease dataset was downloaded from the UCI repository and analysed using Python programming language in the Jupyter Notebook environment. A comparative analysis of the seven (7) techniques was performed based on Accuracy, Precision, and Recall. From the results obtained, KNN, Random Forest, and XGBoost showed superior performance over the others with an accuracy of 100%, AdaBoost Algorithm followed with an accuracy of 92.2%, SVM followed with an accuracy of 91.71%, Naïve Bayes Classifier followed with an accuracy of 88.29% while Logistic Regression has the least accuracy of 86.34%. KNN, RF, and XGBoost outperformed AdaBoost, SVN, and LR. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Assessment of the Impact of COVID-19 Lockdown on the Spatio-Temporal Distribution of PM2.5 in Thailand 1

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8th Asia Conference on Environment and Sustainable Development, ACESD 2023

作者： Simatupang, Cathleen Ariella Piyaviriyakul, Pitchaya Pongkiatkul, Prapat Strezov, Vladimir Boontanon, Narin Jindal, Ranjna Boontanon, Suwanna Kitpati Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Nakhon Pathom73170 Thailand School of Natural Sciences Faculty of Science and Engineering Macquarie University SydneyNSW2109 Australia Department of Environmental Engineering King Mongkut’s University of Technology Thonburi 10800 Bangkok Thailand Faculty of Environment and Resource Studies Mahidol University Nakhon Pathom73170 Thailand Environmental Engineering and Management Program Department of Energy Environment and Climate Change School of Environment and Resources Development Asian Institute of Technology 12120 Pathumthani Thailand Graduate School of Global Environmental Studies Kyoto University 606-8501 Yoshida Sakyo-Ku Kyoto Japan

ISBN: (数字)9789819733200

ISBN: (纸本)9789819733194

During COVID-19 pandemic several countries have implemented quarantines in response to the virus’ spread, which was considered an emergency. Thailand was under a state of emergency from January to December 2020, which has had an impact on the state of environment. Based on real-time data from the Pollution Control Department, the impact of COVID-19 lockdown on PM2.5 pollution in Thailand was examined. Inverse Distance Weighted interpolation was used to generate a more accurate visual representation of the PM2.5 pollution through a spatial distribution of atmospheric pollutants across the provinces of Thailand. PM2.5 levels in all considered areas reduced considerably between 2017 and 2020, with the most significant decrease occurring during the lockdown period of April-July in 2020. As the pre-COVID-19 period occurred during late winter in Thailand, the monthly average PM2.5 concentrations in all selected provinces were gradually increased from December 2019 to March 2020. During the lockdown period, the concentration of PM2.5 was reduced in Pathum Thani (48.9%), Samut Sakhon (35.6%) Samut Prakarn (33.6%), and Bangkok (31.7%) The spatial–temporal distribution of the PM2.5 levels in Samut Sakhon and Samut Prakarn provinces were analyzed for October 2020, during the new normal period. The results showed a significant decrease in concentration of up to 31% compared to previous years where industrial operations were situated. This study showed that the government enforced lockdown during COVID-19 pandemic was beneficial in understanding the impact of reduced human activities on anthropogenic air pollutants’ concentrations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： COVID-19

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Ultrathin carbon biphenylene network as an anisotropic thermoelectric material with high temperature stability under mechanical strain

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Physical Review Materials 2025年第2期9卷 024003-024003页

作者： Gözde Özbal Sargin Salih Demirci Kai Gong V. Ongun Özçelik Faculty of Engineering and Natural Sciences Sabanci University Istanbul 34956 Turkey Materials Science and Nano Engineering Program Sabanci University Istanbul 34956 Turkey Department of Physics Kirikkale University Kirikkale 71450 Turkey Department of Civil and Environmental Engineering Rice University Texas 77005 USA

Carbon biphenylene network (C-BPN), which is an ultrathin material consisting of carbon atoms arranged in square-hexagonal-octagonal (4-6-8) periodic rings, has intriguing properties for nano-scale device design due to its unique crystal structure. Here, using the Landauer formalism in combination with first-principles calculations, we show that C-BPN is a highly stable thermoelectric material at elevated temperatures under mechanical strain, where its thermoelectric efficiency can be anisotropically engineered. Transport calculations reveal that C-BPN's transmission spectrum has significant degrees of directional anisotropy and it undergoes a metal-insulator transition under strain, which leads to an increase in its Seebeck coefficient. C-BPN's lattice thermal conductance can be selectively tuned up to 35% bidirectionally at room temperature by strain engineering. Enhancement in its power factor and the suppression of its lattice thermal conductance improves the p-type figure of merit up to 0.31 and 0.46 at 300 and 500 K, respectively. Our findings reveal that C-BPN has high potency to be used in thermoelectric nanodevices with selective anisotropic properties at elevated temperatures.

关键词： Metal insulator transition

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Effect of 70MeV 12C5+ ion beam on structural and dielectric properties of PVC, PVDF, PVC-PVDF and PVC-PVDF-GO hybrid nanocomposites

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Radiation Effects and Defects in Solids 2025年第3-4期180卷 352-364页

作者： Sagar, Rohan Gaur, M.S. Iľkovič, Sergej Wu, Ching-Chou Department of Physics Hindustan College of Science and Technology Uttar Pradesh Mathura India Department of Bio-industrial Mechatronics Engineering National Chung Hsing University Taichung City Taiwan Faculty of Humanities and Natural Sciences Presov University Presov Slovakia Innovation and Development Center of Sustainable Agriculture National Chung Hsing University Taichung City Taiwan Affiliated to Dr. A.P.J. Abdul Kalam Technical University Uttar Pradesh Lucknow India

The PVC-PVDF-GO nanocomposites thin films were prepared by solution casting method. A thin film of Polyvinyl chloride (PVC), Polyvinylidene fluoride (PVDF), PVC-PVDF-GO was uniformly irradiated with a carbon ion beam at 70 MeV over a surface of 1 cm2 in a vacuum of almost 5 × 10−7 torr with ion fluencies of 1 × 1012 and 2 × 1013 ions/cm2. Fourier transform infrared (FTIR) spectroscopy was observed to track changes in the β-content, represented as F(β)%, during the recrystallization of PVDF after irradiation. At ambient temperature, the variation of dielectric constant and dielectric loss has been studied for pristine and irradiated samples. Ion beam irradiation caused significant changes to the dielectric constant and dielectric loss. After irradiation, the dielectric constant (ϵ′) increases at lower fluence (1 × 1012 ions/cm2), but decreases at higher fluence (2 × 1013 ions/cm2) in comparison with the pristine polymer samples. In PVDF, free radicals are generated by chain scission and cross-linking. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Polyvinyl chlorides

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Rule-Based Dialect of Tulang Bawang Stemmer

Rule-Based Dialect of Tulang Bawang Stemmer

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2025 International Conference on Advancement in Data Science, E-learning and Information System, ICADEIS 2025

作者： Abidin, Zaenal Junaidi, Akmal Wamiliana Lumbanraja, Favorisen Rosyking Kurniasari, Dian Borman, Rohmat Indra Doctoral Program of Mathematics and Natural Sciences Universitas Lampung Bandar Lampung Indonesia Universitas Lampung Department of Computer Science Bandar Lampung Indonesia Universitas Lampung Department of Mathematics Bandar Lampung Indonesia Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandar Lampung Indonesia

ISBN: (纸本)9798331513320

Stemming, an essential procedure in natural language processing (NLP), diminishes words to their base forms, facilitating tasks such as information retrieval and sentiment analysis. Although stemming techniques for highresource languages are well-developed, numerous low-resource languages, including dialect of Tulang Bawang, suffer from inadequate solutions owing to a scarcity of linguistic data and resources. Existing systems, including rule-based stemmers, have demonstrated efficacy in processing low-resource languages such as Indonesian and Javanese by utilizing established morphological rules. Nonetheless, these methods encounter considerable obstacles, such as restricted adaptability, inability to accommodate unusual root structures, and excessive dependence on fixed rules that might result in over- or understemming. Rule-based methodologies frequently misidentify roots when faced with intricate affixes or unconventional word forms. We introduce an improved rule-based Tulang Bawang Stemmer aimed at overcoming these constraints by enhancing current linguistic rules and integrating new patterns specific to the language's morphology. Assessed on 500 test samples and 200 independent test samples, our improved stemmer attained gold standard evaluation metrics of 96.2% and 94%, respectively, surpassing prior implementations in both precision and generalization. The findings demonstrate the potential of enhanced rule-based techniques to improving NLP for lowresource languages. Improved stemming performance enables better downstream applications, promotes more efficient text analysis, and advances research in underrepresented languages. © 2025 IEEE.

关键词： Linguistics

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