Electrochem最新文献_第5页

Photocurrent Production from Cherries in a Bio-Electrochemical Cell 生物电化学电池中樱桃光电流的产生

Electrochem Pub Date : 2023-02-09 DOI: 10.3390/electrochem4010005

Yaniv Shlosberg, Kimi C. Rubino, Nathan S. Nasseri, Andrea S. Carlini

引用次数: 2

Emerging Trends of Electrochemical Sensors in Food Analysis 电化学传感器在食品分析中的新趋势

Electrochem Pub Date : 2023-02-04 DOI: 10.3390/electrochem4010004

Ítala M. G. Marx

引用次数: 1

Environment-Friendly Ascorbic Acid Fuel Cell 环保型抗坏血酸燃料电池

Electrochem Pub Date : 2023-01-30 DOI: 10.3390/electrochem4010003

M. Hasan

引用次数: 1

Impact of Ni Content on the Electrochemical Performance of the Co-Free, Li and Mn-Rich Layered Cathode Materials Ni含量对无co、富Li、富mn层状正极材料电化学性能的影响

Electrochem Pub Date : 2023-01-12 DOI: 10.3390/electrochem4010002

Gongshin Qi, Jiazhi Hu, Michael Balogh, Lei Wang, Devendrasinh Darbar, Wei Li

引用次数: 1

Morphological Characteristics of Catalyst Layer Defects in Catalyst-Coated Membranes in PEM Fuel Cells PEM燃料电池中涂膜催化剂层缺陷的形态特征

Electrochem Pub Date : 2023-01-11 DOI: 10.3390/electrochem4010001

Muneendra Prasad Arcot, Magnus Cronin, M. Fowler, M. Pritzker

{"title":"Morphological Characteristics of Catalyst Layer Defects in Catalyst-Coated Membranes in PEM Fuel Cells","authors":"Muneendra Prasad Arcot, Magnus Cronin, M. Fowler, M. Pritzker","doi":"10.3390/electrochem4010001","DOIUrl":"https://doi.org/10.3390/electrochem4010001","url":null,"abstract":"Catalyst layer defects and irregularities in catalyst-coated membrane (CCM) electrodes affect the lifetime of polymer electrolyte membrane fuel cells (PEMFCs) during their operation. Thus, catalyst layer defects are important concerns for fuel cell manufacturers and prompt the development of quality control systems with the aim of fabricating defect-free electrodes. Consequently, the objective of this study is to gain a fundamental understanding of the morphological changes of real catalyst layer defects that have developed during CCM production. In this paper, missing catalyst layer defects (MCLD) formed during the decal transfer process are investigated through a nondestructive method using reflected light microscopy. The geometric features of the defects are quantified, and their growth is measured at regular time intervals from beginning-of-life (BOL) to end-of-life (EOL) until the OCV has dropped by 20% of its initial value as per a DOE-designed protocol. Overall, two types of degradation are observed: surface degradation caused by catalyst erosion and crack degradation caused by membrane mechanical deformation. Furthermore, catalyst layer defects formed during the decal transfer process were found to exhibit a higher growth rate at middle-of-life (MOL-1) and stabilize by EOL. This type of study will provide manufacturers with baseline information to allow them to select and reject CCMs, ultimately increasing the lifetime of fuel cell stacks.","PeriodicalId":11612,"journal":{"name":"Electrochem","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82449748","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

NiFeOx and NiFeCoOx Catalysts for Anion Exchange Membrane Water Electrolysis 阴离子交换膜电解用NiFeOx和NiFeCoOx催化剂

Electrochem Pub Date : 2022-12-14 DOI: 10.3390/electrochem3040055

K. W. Ahmed, M. Jang, S. Habibpour, Zhongwei Chen, M. Fowler

{"title":"NiFeOx and NiFeCoOx Catalysts for Anion Exchange Membrane Water Electrolysis","authors":"K. W. Ahmed, M. Jang, S. Habibpour, Zhongwei Chen, M. Fowler","doi":"10.3390/electrochem3040055","DOIUrl":"https://doi.org/10.3390/electrochem3040055","url":null,"abstract":"Hydrogen production using an Anion exchange membrane (AEM) electrolyzer allows the use of non-platinum group metal catalysts for oxygen evolution reaction (OER). Nickel and Cobalt-based oxides are active in an alkaline environment for OER and are relatively inexpensive compared to IrO2 catalysts used in Polymer electrolyte membrane (PEM) electrolysis. Mixed metal oxide catalysts NiFeOx and NiFeCoOx catalysts were synthesized by the coprecipitation method using NaOH. X-ray diffraction results showed mainly NiO diffraction peaks for the NiFeOx catalyst due to the low concentration of Fe, for the NiFeCoOx catalyst, NiCo2O4 diffraction peaks were observed. NiFeCoOx catalysts showed a higher Anion exchange membrane water electrolysis (AEMWE) performance compared to NiFeOx and commercial NiO, the highest current density at 2 V was 802 mA cm−2 at 70 °C using 1 M KOH as an electrolyte. The effect of electrolyte concentration was studied by using 0.01 M, 0.1 M and 1 M KOH concentrations in an electrolysis operation. Electrochemical Impedance spectroscopy was performed along with the equivalent circuit fitting to calculate ohmic and activation resistances, the results showed a decrease in ohmic and activation resistances with the increase in electrolyte concentration. Commercially available AEM (Fumasep FAA-3-50 and Sustainion dioxide membrane X-37-50 grade T) were tested at similar conditions and their performance was compared. EIS results showed that X-37-50 offered lower ohmic resistance than the FAA-3-50 membrane.","PeriodicalId":11612,"journal":{"name":"Electrochem","volume":"1814 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86527203","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: 3

Alkaloids of Solanum xanthocarpum Stem as Green Inhibitor for Mild Steel Corrosion in One Molar Sulphuric Acid Solution 黄杉茎生物碱在一摩尔硫酸溶液中对低碳钢的绿色缓蚀作用

Electrochem Pub Date : 2022-12-13 DOI: 10.3390/electrochem3040054

Onisha Thapa, Jamuna Thapa Magar, H. Oli, Anil Rajaure, Durga Nepali, D. Bhattarai, Tanka Mukhiya

{"title":"Alkaloids of Solanum xanthocarpum Stem as Green Inhibitor for Mild Steel Corrosion in One Molar Sulphuric Acid Solution","authors":"Onisha Thapa, Jamuna Thapa Magar, H. Oli, Anil Rajaure, Durga Nepali, D. Bhattarai, Tanka Mukhiya","doi":"10.3390/electrochem3040054","DOIUrl":"https://doi.org/10.3390/electrochem3040054","url":null,"abstract":"The residual ions of the acid cleaning processes induce the further corrosion of the metals, and this could be minimized using green inhibitors. Alkaloids extracted from plant parts could be cost effective and efficient inhibitors. In this work, alkaloids from Solanum xanthocarpum stem were successfully extracted, and they were characterized by qualitative chemical tests and spectroscopic measurements. As-extracted alkaloids were employed as green corrosion inhibitors for mild steel. The effectiveness of the inhibitor was determined by the weight loss and electrochemical measurement methods. From the weight loss measurement, the maximum inhibition efficiency of 93.14% was achieved. The temperature effect study revealed that the inhibitor can work up to a temperature of 58 °C. This could be one of the highest working temperatures among the reported green inhibitors. The electrochemical measurement reveals that the alkaloids could inhibit effectively up to 98.14% of the corrosion and serve as a mixed-type green inhibitor. A study on the kinetic parameters reflects that the inhibitor forms a potential barrier for the protection of a mild steel surface against corrosion. The values obtained from the thermodynamic parameters study reflect that the process is a spontaneous endothermic process. Based on the findings, it is revealed that the alkaloids extracted from S. xanthocarpum can serve as an excellent, eco-friendly and a promising green inhibitor against mild steel corrosion.","PeriodicalId":11612,"journal":{"name":"Electrochem","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73142209","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: 2

Electric Double Layer: The Good, the Bad, and the Beauty 电双层:好、坏、美

Electrochem Pub Date : 2022-12-02 DOI: 10.3390/electrochem3040052

André H. B. Dourado

引用次数: 9

Development of a Chemically Modified Electrode with Magnetic Molecularly Imprinted Polymer (MagMIP) for 17-β-Estradiol Determination in Water Samples 磁性分子印迹聚合物化学修饰电极测定水样中17-β-雌二醇的研究

Electrochem Pub Date : 2022-12-02 DOI: 10.3390/electrochem3040053

Daniela Nunes da Silva, A. Pereira

引用次数: 0

A Novel Online State of Health Estimation Method for Electric Vehicle Pouch Cells Using Magnetic Field Imaging and Convolution Neural Networks 一种基于磁场成像和卷积神经网络的电动汽车气囊电池在线健康状态评估方法

Electrochem Pub Date : 2022-11-18 DOI: 10.3390/electrochem3040051

M. Javadipour, Toshan Wickramanayake, S. A. Alavi, K. Mehran

{"title":"A Novel Online State of Health Estimation Method for Electric Vehicle Pouch Cells Using Magnetic Field Imaging and Convolution Neural Networks","authors":"M. Javadipour, Toshan Wickramanayake, S. A. Alavi, K. Mehran","doi":"10.3390/electrochem3040051","DOIUrl":"https://doi.org/10.3390/electrochem3040051","url":null,"abstract":"Lithium-ion batteries (LiBs) are used as the main power source in electric vehicles (EVs). Despite their high energy density and commercial availability, LiBs chronically suffer from non-uniform cell ageing, leading to early capacity fade in the battery packs. In this paper, a non-invasive, online characterisation method based on deep learning models is proposed for cell-level SoH estimation. For an accurate measurement of the state of health (SoH), we need to characterize electrochemical capacity fade scenarios carefully. Then, with the help of real-time monitoring, the control systems can reduce the LiB’s degradation. The proposed method, which is based on convolutional neural networks (CNN), characterises the changes in current density distributions originating from the positive electrodes in different SoH states. For training and classification by the deep learning model, current density images (CDIs) were experimentally acquired in different ageing conditions. The results confirm the efficiency of the proposed approach in online SoH estimation and the prediction of the capacity fade scenarios.","PeriodicalId":11612,"journal":{"name":"Electrochem","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79676099","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