María J. Sáenz-Espinar, Salma Hafed-Khatiri, David Salinas-Torres, Francisco Montilla, Francisco Huerta
The present contribution describes an electrochemical system for the detection of alkaline phosphatase (ALP) enzyme inhibitors in seawater medium. Fluorescence spectroscopy and thermal unfolding results suggest that the state of free ALP is affected in this medium, yet the protein remains active. The enzyme activity can be evaluated using hydroquinone diphosphate as the substrate, with hydroquinone as the electrochemically monitored product. It has been demonstrated that encapsulation in conventional and organic modified silica matrices maintains ALP integrity, although diffusion across the formed monoliths hinders the electrochemical response. ALP@Phenyl-modified silica exhibits the best performance due to higher affinity between substrate molecules and aromatic moieties and, probably, to larger pore size. This electrochemical system can detect and quantify calyculin A in seawater at sub-nanomolar concentrations and it can also be employed for the development of electrochemical biosensors tailored for the marine environment.
本文介绍了一种用于检测海水介质中碱性磷酸酶(ALP)酶抑制剂的电化学系统。荧光光谱和热解折结果表明,在这种介质中,游离 ALP 的状态会受到影响,但蛋白质仍然具有活性。以对苯二酚二磷酸酯为底物,以对苯二酚为电化学监测产物,可以评估酶的活性。实验证明,封装在传统和有机改性二氧化硅基质中可保持 ALP 的完整性,但形成的单片之间的扩散会阻碍电化学反应。ALP@ 苯基改性二氧化硅表现出最佳性能,这是因为底物分子与芳香分子之间的亲和力更高,也可能是因为孔径更大。这种电化学系统可以检测和定量海水中亚纳摩尔浓度的钙霉素 A,也可用于开发适合海洋环境的电化学生物传感器。
{"title":"Design of an Electrochemical Device for the Detection of Alkaline Phosphatase Inhibitors in Seawater","authors":"María J. Sáenz-Espinar, Salma Hafed-Khatiri, David Salinas-Torres, Francisco Montilla, Francisco Huerta","doi":"10.1002/celc.202400271","DOIUrl":"10.1002/celc.202400271","url":null,"abstract":"<p>The present contribution describes an electrochemical system for the detection of alkaline phosphatase (ALP) enzyme inhibitors in seawater medium. Fluorescence spectroscopy and thermal unfolding results suggest that the state of free ALP is affected in this medium, yet the protein remains active. The enzyme activity can be evaluated using hydroquinone diphosphate as the substrate, with hydroquinone as the electrochemically monitored product. It has been demonstrated that encapsulation in conventional and organic modified silica matrices maintains ALP integrity, although diffusion across the formed monoliths hinders the electrochemical response. ALP@Phenyl-modified silica exhibits the best performance due to higher affinity between substrate molecules and aromatic moieties and, probably, to larger pore size. This electrochemical system can detect and quantify calyculin A in seawater at sub-nanomolar concentrations and it can also be employed for the development of electrochemical biosensors tailored for the marine environment.</p>","PeriodicalId":142,"journal":{"name":"ChemElectroChem","volume":"11 16","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/celc.202400271","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141744436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Herein we report the fabrication of a simple electrochemical sensor based on an electrode containing reduced graphene oxide and molybdenum disulphide (RGO/MoS2) as a conducting film onto the glassy carbon electrode (GCE) via a drop dry method to form GCE-RGO/MoS2. The surface (GCE-RGO/MoS2) was further modified with nickel hydroxide thin film using electrodeposition method to form GCE-RGO/MoS2/Ni(OH)2. The materials and modification steps were thoroughly characterized using microscopy and spectroscopy methods. The composite electrode, GCE-RGO/MoS2/Ni(OH)2, showed excellent electrocatalytic potential separation for the detection of dopamine, uric acid, and ascorbic acid. The electrocatalytic oxidation peak potentials were at 3 mV, 157 mV and 303 mV for AA, DA and UA, respectively. The composite electrode was also selective towards the determination of ascorbic acid (AA), dopamine (DA), uric acid (UA), and simultaneously in mixture of analytes. The low detection limits for AA, DA and UA were 1.17 μM, 0.15 μM and 1.15 μM, respectively. The composite electrode was applied for the detection of AA, DA and UA in spiked newborn calf serum samples with high percentage recoveries ranging from 96.6–100.8 % for AA, 92.8–104.2 % for DA and 99.4–102.3 % for UA.
{"title":"Conducting Nickel Hydroxide Thin Film on Molybdenum Disulfide – Reduced Graphene Oxide Composite Electrode for Simultaneous Detection of Uric Acid, Dopamine and Ascorbic Acid","authors":"Dr. Charles Luhana, Prof. Philani Mashazi","doi":"10.1002/celc.202400149","DOIUrl":"10.1002/celc.202400149","url":null,"abstract":"<p>Herein we report the fabrication of a simple electrochemical sensor based on an electrode containing reduced graphene oxide and molybdenum disulphide (RGO/MoS<sub>2</sub>) as a conducting film onto the glassy carbon electrode (GCE) via a drop dry method to form GCE-RGO/MoS<sub>2</sub>. The surface (GCE-RGO/MoS<sub>2</sub>) was further modified with nickel hydroxide thin film using electrodeposition method to form GCE-RGO/MoS<sub>2</sub>/Ni(OH)<sub>2</sub>. The materials and modification steps were thoroughly characterized using microscopy and spectroscopy methods. The composite electrode, GCE-RGO/MoS<sub>2</sub>/Ni(OH)<sub>2</sub>, showed excellent electrocatalytic potential separation for the detection of dopamine, uric acid, and ascorbic acid. The electrocatalytic oxidation peak potentials were at 3 mV, 157 mV and 303 mV for AA, DA and UA, respectively. The composite electrode was also selective towards the determination of ascorbic acid (AA), dopamine (DA), uric acid (UA), and simultaneously in mixture of analytes. The low detection limits for AA, DA and UA were 1.17 μM, 0.15 μM and 1.15 μM, respectively. The composite electrode was applied for the detection of AA, DA and UA in spiked newborn calf serum samples with high percentage recoveries ranging from 96.6–100.8 % for AA, 92.8–104.2 % for DA and 99.4–102.3 % for UA.</p>","PeriodicalId":142,"journal":{"name":"ChemElectroChem","volume":"11 16","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/celc.202400149","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141744437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yin Kan Phua, Nana Terasoba, Prof. Manabu Tanaka, Prof. Tsuyohiko Fujigaya, Prof. Koichiro Kato
Although anion-exchange membranes (AEMs) are commonly used in fuel cells and water electrolyzers, their widespread commercialization is hindered by problems such as low anion conductivity and durability. Moreover, the development of high-performance AEMs remains complex and time consuming. Here, we address these challenges by proposing an innovative approach for the efficient design and screening of AEM polymers using unsupervised machine learning. Our model, which combines principal component analysis with uniform manifold approximation and projection, generates an intuitive map that clusters AEM polymers based on structural similarities without any predefined knowledge regarding anion conductivity or other experimentally derived variables. As a powerful navigation tool, this map provides insights into promising main-chain structures, such as poly(arylene alkylene)s with consistently high conductivity and polyolefins with exceptional performance depending on the substituent. Furthermore, assisted by key molecular descriptors, inverse analysis with this model allows targeted design and property prediction before synthesis, which will significantly accelerate the discovery of novel AEM polymers. This work represents a paradigm shift not only in AEM research but also generally in materials research, moving from black-box predictions toward interpretable guidelines that foster collaboration between researchers and machine learning for efficient and informed material development.
{"title":"Unsupervised Machine Learning-Derived Anion-Exchange Membrane Polymers Map: A Guideline for Polymers Exploration and Design","authors":"Yin Kan Phua, Nana Terasoba, Prof. Manabu Tanaka, Prof. Tsuyohiko Fujigaya, Prof. Koichiro Kato","doi":"10.1002/celc.202400252","DOIUrl":"https://doi.org/10.1002/celc.202400252","url":null,"abstract":"<p>Although anion-exchange membranes (AEMs) are commonly used in fuel cells and water electrolyzers, their widespread commercialization is hindered by problems such as low anion conductivity and durability. Moreover, the development of high-performance AEMs remains complex and time consuming. Here, we address these challenges by proposing an innovative approach for the efficient design and screening of AEM polymers using unsupervised machine learning. Our model, which combines principal component analysis with uniform manifold approximation and projection, generates an intuitive map that clusters AEM polymers based on structural similarities without any predefined knowledge regarding anion conductivity or other experimentally derived variables. As a powerful navigation tool, this map provides insights into promising main-chain structures, such as poly(arylene alkylene)s with consistently high conductivity and polyolefins with exceptional performance depending on the substituent. Furthermore, assisted by key molecular descriptors, inverse analysis with this model allows targeted design and property prediction before synthesis, which will significantly accelerate the discovery of novel AEM polymers. This work represents a paradigm shift not only in AEM research but also generally in materials research, moving from black-box predictions toward interpretable guidelines that foster collaboration between researchers and machine learning for efficient and informed material development.</p>","PeriodicalId":142,"journal":{"name":"ChemElectroChem","volume":"11 14","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/celc.202400252","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141631185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dr. Si Liu, Yupeng Zhao, Zhengfan Chen, Dr. Dandan Gao, Fan Feng, Tobias Rios-Studer, Dr. Joachim Bansmann, Johannes Biskupek, Prof. Dr. Ute Kaiser, Dr. Rongji Liu, Prof. Dr. Carsten Streb
Electrocatalytic nitrate reduction is a promising approach to remove harmful nitrate and produce ammonia in aqueous media. Here, we demonstrate how 3D printed polymer electrodes can be electroless plated with a bimetallic NiCu alloy film suitable for sustained nitrate-to-ammonia reduction. Characterization by powder X-ray diffraction, X-ray photoelectron spectroscopy, scanning/transmission electron microscopy and energy-dispersive X-ray spectroscopy indicate that the electrode has a two-layer structure consisting of polymer/ coating layer of metal alloys. The composite electrode shows high-performance in the nitrate-to-ammonia electroreduction, giving NH3 Faradaic efficiencies of up to 83 % and NH3 yield rates up to 860 μg/(h cm2) at −0.38 V vs. RHE. We show that the electrode can easily be integrated into a Zn-nitrate battery, giving a power density of 3.8 mW cm−2 with continuous NH3 production. The system combines three productive outputs, that is removal of nitrate pollutants, synthesis of valuable ammonia and generation of “green” electricity.
电催化硝酸盐还原是在水介质中去除有害硝酸盐并生成氨的一种很有前景的方法。在这里,我们展示了如何在三维打印聚合物电极上无电镀一层双金属镍铜合金薄膜,以实现硝酸盐到氨的持续还原。粉末 X 射线衍射、X 射线光电子能谱、扫描/透射电子显微镜和能量色散 X 射线光谱的表征表明,电极具有由聚合物/金属合金涂层组成的双层结构。该复合电极在硝酸-氨电还原过程中表现出高性能,在 -0.38 V 对 RHE 时,NH3 法拉第效率高达 83%,NH3 产率高达 860 μg/(h cm2)。我们的研究表明,该电极可轻松集成到硝酸锌电池中,功率密度为 3.8 mW cm-2,并可持续产生 NH3。该系统结合了三种生产产出,即去除硝酸盐污染物、合成有价值的氨和产生 "绿色 "电力。
{"title":"Metal Alloy-Functionalized 3D-Printed Electrodes for Nitrate-to-Ammonia Conversion in Zinc-Nitrate Batteries","authors":"Dr. Si Liu, Yupeng Zhao, Zhengfan Chen, Dr. Dandan Gao, Fan Feng, Tobias Rios-Studer, Dr. Joachim Bansmann, Johannes Biskupek, Prof. Dr. Ute Kaiser, Dr. Rongji Liu, Prof. Dr. Carsten Streb","doi":"10.1002/celc.202400291","DOIUrl":"10.1002/celc.202400291","url":null,"abstract":"<p>Electrocatalytic nitrate reduction is a promising approach to remove harmful nitrate and produce ammonia in aqueous media. Here, we demonstrate how 3D printed polymer electrodes can be electroless plated with a bimetallic NiCu alloy film suitable for sustained nitrate-to-ammonia reduction. Characterization by powder X-ray diffraction, X-ray photoelectron spectroscopy, scanning/transmission electron microscopy and energy-dispersive X-ray spectroscopy indicate that the electrode has a two-layer structure consisting of polymer/ coating layer of metal alloys. The composite electrode shows high-performance in the nitrate-to-ammonia electroreduction, giving NH<sub>3</sub> Faradaic efficiencies of up to 83 % and NH<sub>3</sub> yield rates up to 860 μg/(h cm<sup>2</sup>) at −0.38 V vs. RHE. We show that the electrode can easily be integrated into a Zn-nitrate battery, giving a power density of 3.8 mW cm<sup>−2</sup> with continuous NH<sub>3</sub> production. The system combines three productive outputs, that is removal of nitrate pollutants, synthesis of valuable ammonia and generation of “green” electricity.</p>","PeriodicalId":142,"journal":{"name":"ChemElectroChem","volume":"11 15","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/celc.202400291","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141646980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Jayasubramaniyan, Seokjin Kim, Minseok Ko, Jaekyung Sung
The front cover image depicts the sulfide-based solid electrolyte and silicon anode interface in all-solid-state lithium-ion batteries. It also emphasizes that the investigation of the electrode/electrolyte interface is essential for designing high-energy batteries, and more in-depth analysis characterization tools have to be developed and utilized to fully understand the interface kinetics and charge transport mechanism for designing highly efficient battery systems for next-generation electric vehicles and portable devices. More information can be found in the Perspective by Jaekyung Sung and co-workers (DOI: 10.1002/celc.202400219)