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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
Pub Date : 2023-02-09 DOI: 10.3390/electrochem4010005
Yaniv Shlosberg, Kimi C. Rubino, Nathan S. Nasseri, Andrea S. Carlini
In recent years, clean energy technologies that meet ever-increasing energy demands without the risk of environmental contamination has been a major interest. One approach is the utilization of plant leaves, which release redox-active NADPH as a result of photosynthesis, to generate photocurrent. In this work, we show for the first time that photocurrent can be harvested directly from the fruit of a cherry tree when associated with a bio-electrochemical cell. Furthermore, we apply electrochemical and spectroscopic methods to show that NADH in the fruit plays a major role in electric current production.
近年来,满足日益增长的能源需求而又不存在环境污染风险的清洁能源技术一直是人们关注的焦点。一种方法是利用植物叶片作为光合作用的结果释放氧化还原活性NADPH来产生光电流。在这项工作中,我们首次展示了当与生物电化学电池相结合时,可以直接从樱桃树的果实中收获光电流。此外,我们应用电化学和光谱方法表明,NADH在水果电流产生中起主要作用。
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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
Pub Date : 2023-02-04 DOI: 10.3390/electrochem4010004
Ítala M. G. Marx
Food quality and safety pose an increasing threat to human health worldwide [...]
食品质量和安全对全球人类健康构成越来越大的威胁[…]
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引用次数: 1
Environment-Friendly Ascorbic Acid Fuel Cell 环保型抗坏血酸燃料电池
Pub Date : 2023-01-30 DOI: 10.3390/electrochem4010003
M. Hasan
Recently, ascorbic acid (AA) has been studied as an environment-friendly fuel for energy conversion devices. This review article has deliberated an overview of ascorbic acid electrooxidation and diverse ion exchange types of AA-based fuel cells for the first time. Metal and carbon-based catalysts generated remarkable energy from environment-friendly AA fuel. The possibility of using AA in a direct liquid fuel cell (DLFC) without emitting any hazardous pollutants is discussed. AA fuel cells have been reviewed based on carbon nanomaterials, alloys/bimetallic nanoparticles, and precious and nonprecious metal nanoparticles. Finally, the obstacles and opportunities for using AA-based fuel cells in practical applications have also been incorporated.
近年来,抗坏血酸(AA)作为一种环保型能源转换装置燃料得到了广泛的研究。本文首次对抗坏血酸电氧化和各种离子交换类型的aa基燃料电池进行了综述。金属和碳基催化剂从环保的AA燃料中产生了显著的能量。讨论了在不排放有害污染物的直接液体燃料电池(DLFC)中使用AA的可能性。综述了基于碳纳米材料、合金/双金属纳米颗粒、贵金属和非贵金属纳米颗粒的AA燃料电池。最后,还介绍了在实际应用中使用aa基燃料电池的障碍和机会。
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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
Pub Date : 2023-01-12 DOI: 10.3390/electrochem4010002
Gongshin Qi, Jiazhi Hu, Michael Balogh, Lei Wang, Devendrasinh Darbar, Wei Li
Li and Mn-rich layered cathode (LLC) materials show great potential as the next generation cathode materials because of their high, practical and achievable specific capacity of ~250 mAh/g, thermal stability and lower raw material cost. However, LLC materials suffer from degradation of specific capacity, voltage fading due to phase transformation upon cycling and transition-metal dissolution, which presents a significant barrier for commercialization. Here, we report the effects of Ni content on the electrochemical performance, structural and thermal stability of a series of Co-free, LLC materials (Li1.2NixMn0.8-xO2, x = 0.12, 0.18, 0.24, 0.30 and 0.36) synthesized via a sol-gel method. Our study shows that the structure of the material as well as the electrochemical and thermal stability properties of the LLC materials are strongly dependent on the Ni or Mn content. An increase in the Ni to Mn ratio results in an increase in the average discharge voltage and capacity, as well as improved structural stability but decreased thermal stability.
富锂、富锰层状阴极(LLC)材料具有高、实用和可实现的~250 mAh/g比容量、热稳定性和较低的原材料成本等优点,作为下一代阴极材料具有很大的潜力。然而,LLC材料存在比容量下降、循环相变引起的电压衰减和过渡金属溶解等问题,这对其商业化构成了重大障碍。本文报道了Ni含量对溶胶-凝胶法制备的一系列无co, LLC材料(Li1.2NixMn0.8-xO2, x = 0.12, 0.18, 0.24, 0.30和0.36)的电化学性能、结构和热稳定性的影响。我们的研究表明,材料的结构以及LLC材料的电化学和热稳定性与Ni或Mn含量有很大的关系。镍锰比的增加导致平均放电电压和容量的增加,以及结构稳定性的提高,但热稳定性降低。
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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
Pub Date : 2023-01-11 DOI: 10.3390/electrochem4010001
Muneendra Prasad Arcot, Magnus Cronin, M. Fowler, M. Pritzker
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.
催化剂包覆膜(CCM)电极的催化剂层缺陷和不规则性影响着聚合物电解质膜燃料电池(pemfc)的使用寿命。因此,催化剂层缺陷是燃料电池制造商关注的重要问题,并促使质量控制系统的发展,目的是制造无缺陷的电极。因此,本研究的目的是对CCM生产过程中产生的真实催化剂层缺陷的形态变化有一个基本的了解。本文利用反射光显微镜研究了在贴花转移过程中形成的缺失催化剂层缺陷(MCLD)。缺陷的几何特征被量化,并且它们的生长在从生命周期开始(BOL)到生命周期结束(EOL)的规则时间间隔内进行测量,直到OCV按照doe设计的协议下降到其初始值的20%。总的来说,观察到两种类型的降解:催化剂侵蚀引起的表面降解和膜力学变形引起的裂纹降解。此外,在贴花转移过程中形成的催化剂层缺陷在寿命中期(MOL-1)表现出较高的生长速率,并通过EOL稳定。这种类型的研究将为制造商提供基线信息,使他们能够选择和拒绝ccm,最终增加燃料电池组的使用寿命。
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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
Pub Date : 2022-12-14 DOI: 10.3390/electrochem3040055
K. W. Ahmed, M. Jang, S. Habibpour, Zhongwei Chen, M. Fowler
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.
使用阴离子交换膜(AEM)电解槽制氢允许使用非铂族金属催化剂进行析氧反应(OER)。镍和钴基氧化物在碱性环境中对OER具有活性,与用于聚合物电解质膜(PEM)电解的IrO2催化剂相比,它们相对便宜。采用NaOH共沉淀法合成了混合金属氧化物催化剂NiFeOx和NiFeCoOx。x射线衍射结果显示,由于Fe浓度较低,NiFeOx催化剂的衍射峰主要为NiO,而NiFeCoOx催化剂的衍射峰主要为NiCo2O4。与NiFeOx和NiO相比,NiFeCoOx催化剂表现出更高的阴离子交换膜电解(AEMWE)性能,在70°C下,以1 M KOH为电解液,2 V时的最高电流密度为802 mA cm - 2。在电解过程中,分别采用0.01 M、0.1 M和1m的KOH浓度研究电解液浓度对电解效果的影响。利用电化学阻抗谱和等效电路拟合计算欧姆和活化电阻,结果表明欧姆和活化电阻随电解液浓度的增加而减小。在相似的条件下测试了市售AEM (Fumasep FAA-3-50和Sustainion dioxide膜X-37-50 T级),并比较了它们的性能。EIS结果表明,X-37-50膜的欧姆电阻低于fa -3-50膜。
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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
Pub Date : 2022-12-13 DOI: 10.3390/electrochem3040054
Onisha Thapa, Jamuna Thapa Magar, H. Oli, Anil Rajaure, Durga Nepali, D. Bhattarai, Tanka Mukhiya
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.
酸洗过程中残留的离子会引起金属的进一步腐蚀,这可以通过使用绿色抑制剂来最小化。从植物中提取的生物碱是一种经济有效的抑制剂。本研究成功地从黄果茄茎中提取了生物碱,并对其进行了定性化学试验和光谱测定。提取生物碱作为绿色缓蚀剂用于低碳钢。通过失重法和电化学测定法确定了缓蚀剂的有效性。减重测试结果表明,其最大缓蚀率为93.14%。温度效应研究表明,该抑制剂的工作温度可达58℃。这可能是报道的绿色抑制剂中最高的工作温度之一。电化学测定结果表明,生物碱可有效抑制高达98.14%的腐蚀,是一种混合型缓蚀剂。动力学参数的研究表明,缓蚀剂形成了保护低碳钢表面免受腐蚀的潜在屏障。热力学参数研究结果表明,该过程为自发吸热过程。综上所述,从黄杉中提取的生物碱可作为一种优良的、环保的绿色缓蚀剂,具有良好的抗低碳钢腐蚀的应用前景。
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引用次数: 2
Electric Double Layer: The Good, the Bad, and the Beauty 电双层:好、坏、美
Pub Date : 2022-12-02 DOI: 10.3390/electrochem3040052
André H. B. Dourado
The electric double layer (EDL) is the most important region for electrochemical and heterogeneous catalysis. Because of it, its modeling and investigation are something that can be found in the literature for a long time. However, nowadays, it is still a hot topic of investigation, mainly because of the improvement in simulation and experimental techniques. The present review aims to present the classical models for the EDL, as well as presenting how this region affects electrochemical data in everyday experimentation, how to obtain and interpret information about EDL, and, finally, how to obtain some molecular point of view insights on it.
双电层(EDL)是电化学和多相催化的重要区域。正因为如此,它的建模和研究是长期以来可以在文献中找到的东西。然而,目前它仍然是一个研究的热点,这主要是因为模拟和实验技术的进步。本文旨在介绍EDL的经典模型,以及该区域如何影响日常实验中的电化学数据,如何获取和解释有关EDL的信息,最后如何获得一些分子观点的见解。
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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
Pub Date : 2022-12-02 DOI: 10.3390/electrochem3040053
Daniela Nunes da Silva, A. Pereira
The present work consisted of the development of an electrode based on carbon paste modified with magnetic molecularly imprinted polymer (CPE-MagMIP) for 17-β-estradiol (E2) detection. The incorporation of magnetic material (MagMIP) improved sensor performance, an increase of over 317%. The proposed method resulted in a linear response range from 0.5 to 14.0 μM, and the detection limit (LOD) and quantification limit (LOQ) were equal to 0.13 and 0.44 μM, respectively. Under optimized conditions, the developed sensor obtained satisfactory parameters in E2 determination in water samples, demonstrating selectivity, accuracy, and precision, making it a promising method for monitoring E2 in environmental samples.
本文主要研究了磁性分子印迹聚合物修饰碳糊电极(CPE-MagMIP)对17-β-雌二醇(E2)的检测。磁性材料(MagMIP)的加入提高了传感器的性能,提高了317%以上。该方法的线性响应范围为0.5 ~ 14.0 μM,检测限(LOD)和定量限(LOQ)分别为0.13和0.44 μM。在优化条件下,所研制的传感器在水样中E2的测定中获得了满意的参数,具有良好的选择性、准确性和精密度,是一种很有前景的环境样品中E2监测方法。
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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
Pub Date : 2022-11-18 DOI: 10.3390/electrochem3040051
M. Javadipour, Toshan Wickramanayake, S. A. Alavi, K. Mehran
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.
锂离子电池(LiBs)是电动汽车的主要动力源。尽管具有高能量密度和商业可用性,但锂电池长期遭受不均匀的电池老化,导致电池组的早期容量衰减。本文提出了一种基于深度学习模型的非侵入性在线表征方法,用于细胞水平的SoH估计。为了准确测量健康状态(SoH),我们需要仔细表征电化学容量衰减场景。然后,在实时监测的帮助下,控制系统可以减少LiB的退化。该方法基于卷积神经网络(CNN),表征了不同SoH状态下正极产生的电流密度分布的变化。为了进行深度学习模型的训练和分类,实验获取了不同老化条件下的电流密度图像(current density image, cdi)。结果验证了该方法在在线SoH估计和容量衰减场景预测中的有效性。
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引用次数: 0
期刊
Electrochem
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