Macromolecular Symposia最新文献_第10页

Synthesis, Characterization, and Brine Shrimp (Artemia salina) Toxicity Evaluation of Nanocomposites Carrier Phytic Acid/Chitosan/Magnetic Iron Oxide Nanoparticles 载体植酸/壳聚糖/磁性氧化铁纳米颗粒纳米复合材料的合成、表征和盐水虾（Artemia salina）毒性评估

Macromolecular Symposia Pub Date : 2025-02-17 DOI: 10.1002/masy.202400237

Monica Namizie Asey, Che Azurahanim Che Abdullah, Mohamed Abdelmonem, Norhaizan Mohd Esa, Mohd Basyaruddin Abdul Rahman

引用次数: 0

Concentration and Temperature Level Influenced the Optical Properties of Citrus Peel-Based Edible Film 浓度和温度水平影响柑橘皮食用薄膜的光学特性

Macromolecular Symposia Pub Date : 2025-02-17 DOI: 10.1002/masy.202300218

Gracella Kusuma, Vincensius Marcellino, Ata Aditya Wardana, R. Haryo Bimo Setiarto

引用次数: 0

Corrosion Mitigation of Mild Steel Over Thicknesses of Graphene Oxide/Polyaniline Nanocomposite Coatings 氧化石墨烯/聚苯胺纳米复合涂层对低碳钢的缓蚀作用

Macromolecular Symposia Pub Date : 2025-02-17 DOI: 10.1002/masy.202300236

Rihashni Thivagaran, Mohd Radzi Aridi, Nurjannah Salim, Siti Maznah Kabeb, Nurul Huda Abu Bakar

{"title":"Corrosion Mitigation of Mild Steel Over Thicknesses of Graphene Oxide/Polyaniline Nanocomposite Coatings","authors":"Rihashni Thivagaran, Mohd Radzi Aridi, Nurjannah Salim, Siti Maznah Kabeb, Nurul Huda Abu Bakar","doi":"10.1002/masy.202300236","DOIUrl":"https://doi.org/10.1002/masy.202300236","url":null,"abstract":"Epoxy is frequently employed as a protective coating to inhibit corrosion. Over the years, researchers have focused on improving the barrier properties of epoxy coatings because prolonged exposure to harsh environments may induce corrosive ion permeation. In this regard, polyaniline functionalized graphene oxide (GO/PANI) nanocomposite is introduced into the epoxy matrix to enhance the barrier performance. GO is first sonicated at 5 h to yield smaller graphene sheet sizes and to ensure uniform suspension. The research reveals that thicker coating with five layers of the nanocomposites (GO/PANI-5) successfully protects mild steel substrates at a corrosion rate (CR) of 0.0037 mm y−1 compared to pure epoxy coating at an equivalent thickness (≈0.016 mm year−1). Detailed investigation of electrochemical impedance spectroscopy (EIS) shows that the GO/PANI-5 coating exhibits higher impedance with four to five orders of magnitude than the pure epoxy and bare mild steel substrate. The significant findings denote that a thicker layer with a smaller GO sheet allows for more barrier characteristics due to stronger adhesion and slower ion diffusion rate. To conclude, incorporating GO/PANI nanocomposites will add more protective values to pure epoxy and provide multifaceted applications regardless of thickness.","PeriodicalId":18107,"journal":{"name":"Macromolecular Symposia","volume":"414 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143431233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Viability of the Proposed Alternative Refrigerants as Future Refrigerants 建议替代制冷剂作为未来制冷剂的可行性

Macromolecular Symposia Pub Date : 2025-02-17 DOI: 10.1002/masy.202400115

Abdullahi Usman, Saigeeta Priyadarshini, Akanksha Mishra, Pramod K Singh, Ahmad Muhammad Adam, Himanshu Payal, I. M. Noor

{"title":"Viability of the Proposed Alternative Refrigerants as Future Refrigerants","authors":"Abdullahi Usman, Saigeeta Priyadarshini, Akanksha Mishra, Pramod K Singh, Ahmad Muhammad Adam, Himanshu Payal, I. M. Noor","doi":"10.1002/masy.202400115","DOIUrl":"https://doi.org/10.1002/masy.202400115","url":null,"abstract":"Globally, the need of future refrigerant is becoming important to save the environment owing to the increase of urbanization and industrialization. The rate of accumulation of greenhouse gasses (GHG) from refrigerants depends on the rate of increase in urbanization and industrialization. However, the candidature of different classes of refrigerants to the stage of future refrigerants has been hindered by different challenges. Hence, the developments achieved in eliminating the various challenges has been studied through literature and the viability status of those classes of refrigerants has been improvised on the basis of green refrigeration, thermodynamic properties, performances and system design approaches. This paper reviews viability of most recently proposed refrigerants as future refrigerants. Hydrofluoroolefin (HFO) is the most viable class of refrigerants because of improvements noted in the challenges that hinder its future scope. Carbon dioxide (R-744) has also a viable scope of future refrigerants under controlled operating condition. In addition to that for ultra low temperature (ULT) refrigeration system, R-170, R-1132a, and R41 have been considered as most viable refrigerants.","PeriodicalId":18107,"journal":{"name":"Macromolecular Symposia","volume":"414 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143431290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning in Polymer Science: Emerging Trends and Future Directions 高分子科学中的机器学习：新兴趋势和未来方向

Macromolecular Symposia Pub Date : 2025-02-17 DOI: 10.1002/masy.202400101

Pradeepta Kumar Sarangi, Nidhi Goel, Ashok Kumar Sahoo, Lekha Rani

{"title":"Machine Learning in Polymer Science: Emerging Trends and Future Directions","authors":"Pradeepta Kumar Sarangi, Nidhi Goel, Ashok Kumar Sahoo, Lekha Rani","doi":"10.1002/masy.202400101","DOIUrl":"https://doi.org/10.1002/masy.202400101","url":null,"abstract":"Artificial intelligence (AI) and machine learning (ML) have advanced tremendously in the previous 5 years regarding polymer science. Polymers are materials with enormous versatility that are now widely used. Polymers have found extensive applications in several fields such as energy storage, construction, medical, aerospace, and other industries. This study is presently in the era of the 4.0 industry, a transformative period that is profoundly reshaping both business and society in an unprecedented manner specifically in developing countries. Data-driven strategies for process analysis and control are crucial in expediting the creation of polymer production processes while maintaining product quality and avoiding a rise in production cost. More and more scientists are utilizing polymer informatics and data science to create new materials and understand the connections between their molecular structure and characteristics. The field of polymer informatics is relatively new. Even though there are a lot of helpful databases and tools accessible, not many are used frequently. The application of AI is starting to have an influence on several aspects of human existence, including fields such as science and technology. Polymer informatics is a field that utilizes AI and ML techniques to enhance the process of developing, designing, and discovering polymers. Based on these ideas, it examines the burgeoning fields of ML-assisted polymer informatics in this research. It also looks at these new developments in the polymeric informatics ecosystem and talks about upcoming potential and problems for applications.","PeriodicalId":18107,"journal":{"name":"Macromolecular Symposia","volume":"414 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143431385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of Activated Carbon-Ionic Imprinted Polymer Hybrid System in Water Filter to Remove Arsenic Species from Water 活性炭-离子印迹聚合物杂化滤水系统去除水中砷的研究

Macromolecular Symposia Pub Date : 2025-02-17 DOI: 10.1002/masy.202300221

Nurlin Abu Samah

{"title":"Development of Activated Carbon-Ionic Imprinted Polymer Hybrid System in Water Filter to Remove Arsenic Species from Water","authors":"Nurlin Abu Samah","doi":"10.1002/masy.202300221","DOIUrl":"https://doi.org/10.1002/masy.202300221","url":null,"abstract":"Activated carbon-ionic imprinted polymer (AC-IIP) is synthesized for the removal of arsenic from water. The IIP is constructed using allylthiourea (AT) as monomer and arsenic as template. The binding properties of the AC-IIP are characterized and detected using Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES) with parameters including comparison of the packing with IIP and without IIP in continuous flow mode, recyclability study and pH effect. The comparison between packing with IIP and without IIP shows an adsorption percentage of 99% until the third cycle, and then the adsorption efficiency drops during the fourth and fifth cycles. The value of adsorption for packing media with IIP is slightly lower than packing media without IIP which is at 98.6% and 98.9% removal efficiency. The optimum pH is at pH 5 which percentage removal is 99%. The recyclability study proves that the AC-IIP can be recycled up to five times with 99% removal at an acidic condition which is at pH 5. Mild pH shows no impact in the recovery of arsenic species into free solution. As a conclusion, AC-IIP shows a high quality of removal efficiency and sorption capacity loaded. Based on the performance demonstrated, AC-IIP is a promising method for arsenic removal from water.","PeriodicalId":18107,"journal":{"name":"Macromolecular Symposia","volume":"414 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143431416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Removal of Methylene Blue by Degradation Using Polysulfone–Boehmite–Graphene Oxide Microfiber Photocatalyst Under Visible and Solar Lights 聚砜-薄铝石-氧化石墨烯微纤维光催化剂在可见光和太阳光下降解去除亚甲基蓝

Macromolecular Symposia Pub Date : 2025-02-17 DOI: 10.1002/masy.202400227

Ahmed R. Mahmood, Nabeel Shaheen Mohammed, Jassim Mohammed Ali, Mustafa A. Alheety

引用次数: 0

Ionic Liquid Mixed Polymer Electrolyte for Supercapacitor 超级电容器用离子液体混合聚合物电解质

Macromolecular Symposia Pub Date : 2025-02-17 DOI: 10.1002/masy.202400153

Azemtsop Manfo Theodore, Monika Srivastava, Sandeep Kumar, M. Z. A. Yahya, Tarun Yadav, S. N. F. Yusuf

引用次数: 0

Application of Angelica archangelica Phytomaterials as Inhibitors of SARS-CoV-2 Main Protease Receptor 当归植物材料作为SARS-CoV-2主要蛋白酶受体抑制剂的应用

Macromolecular Symposia Pub Date : 2025-02-17 DOI: 10.1002/masy.202400174

Ruchi Kumari, Yogita Singh, Misbah Shahid, Preeti Jain

{"title":"Application of Angelica archangelica Phytomaterials as Inhibitors of SARS-CoV-2 Main Protease Receptor","authors":"Ruchi Kumari, Yogita Singh, Misbah Shahid, Preeti Jain","doi":"10.1002/masy.202400174","DOIUrl":"https://doi.org/10.1002/masy.202400174","url":null,"abstract":"The proteins N and M, 3′-5′ exoribonuclease (nsp14), viral proteases, and RNA dependent RNA polymerase (RdRp) are required for different stages of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral replication. For many antiviral therapies, these are thus desirable targets. Due to the primary protease's differences from human proteases, it is thought to be a suitable therapeutic target. Phytochemicals with antiviral characteristics are possible strong weapons in the fight against SAR-CoV-2. Coumarins are one type of phytochemical found in Angelica archangelica L. that can possibly be utilized to produce an alternative natural antiviral molecule. Forty-six bioactive phytochemicals selected from A. archangelica therapeutic plant are found to have an antiviral effect against SARS-CoV-2 protease. From the screened compounds, terpinen-4-ol and coniferyl ferulate exhibit strong molecular bonding interaction in molecular docking study with the binding energies (−8.82) to (−10.11) kcal mol−1 against main protease receptor protein (pdb id: 6lu7 and 6w63) of SARS-CoV-2, individually. The major mode of binding is H-bonding majorly with the participation of dynamic spot catalytic residue HIS-41 and CYS-145. Coniferyl ferulate has a maximum binding energy of −10.11 and −11.23 kcal mol−1 in complexation along the proteases receptor (6lu7 and 6w63). Coniferyl ferulate is a stronger COVID-19 inhibitor, which ought to be investigated as a potential therapeutic target for this virus.","PeriodicalId":18107,"journal":{"name":"Macromolecular Symposia","volume":"414 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143431601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Use of the Macromolecule Products of the Biogenic Reaction as the Basic Nucleus in the Preparation of Quinazoline Derivatives 生物反应大分子产物作为碱性核在制备喹唑啉衍生物中的应用

Macromolecular Symposia Pub Date : 2025-02-17 DOI: 10.1002/masy.202400215

Diana Thabt Hamad, Muhammad Ghazi Abdul Karim, Saad Salim Jasim

引用次数: 0