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<Journal>
				<PublisherName>Analytical and Bioanalytical Electrochemistry is an international scientific journal published online by the Center of Excellence in Electrochemistry at the University of Tehran, Tehran, Iran. The journal was published quarterly from 2009 to 2011, bimonthly from 2011 to 2018, and has been published in at least eight issues per year since 2018.</PublisherName>
				<JournalTitle>Analytical and Bioanalytical Electrochemistry</JournalTitle>
				<Issn>-</Issn>
				<Volume>18</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>28</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Machine Learning-Enhanced Classification and Analysis of Modified Carbon Paste Electrodes for Methanol Fuel Cell Applications</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>14</LastPage>
			<ELocationID EIdType="pii">741068</ELocationID>
			
<ELocationID EIdType="doi">10.22034/abec.2026.741068</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mustapha</FirstName>
					<LastName>Oukbab</LastName>
<Affiliation>Molecular Electrochemistry and Inorganic Materials Team, Beni Mellal Faculty of Science and Technology, Morocco</Affiliation>
<Identifier Source="ORCID">0009-0002-2411-5067</Identifier>

</Author>
<Author>
					<FirstName>Imane</FirstName>
					<LastName>Chtaini</LastName>
<Affiliation>Independent Researcher</Affiliation>

</Author>
<Author>
					<FirstName>Yassine</FirstName>
					<LastName>Chtaini</LastName>
<Affiliation>Independent Researcher</Affiliation>

</Author>
<Author>
					<FirstName>Rachida</FirstName>
					<LastName>Najih</LastName>
<Affiliation>Molecular Electrochemistry and Inorganic Materials Team, Beni Mellal Faculty of Science and Technology, Morocco</Affiliation>

</Author>
<Author>
					<FirstName>Abdelilah</FirstName>
					<LastName>Chtaini</LastName>
<Affiliation>Molecular Electrochemistry and Inorganic Materials Team, Beni Mellal Faculty of Science and Technology, Morocco</Affiliation>
<Identifier Source="ORCID">0000-0003-2925-8040</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>07</Month>
					<Day>08</Day>
				</PubDate>
			</History>
		<Abstract>&lt;span lang=&quot;EN-GB&quot;&gt;This study presents a comprehensive machine learning approach for the classification and analysis of modified carbon paste electrodes (CPE) designed for methanol fuel cell anodes. Four electrode configurations were systematically investigated: unmodified CPE, zinc-modified CPE (CPE/Zn), polymer-enhanced CPE/Zn with 1,4-cis polymyrcene (CPE/Zn/Polymer), and bio-modified CPE/Zn/Polymer/Bacteria electrodes using Escherichia coli biofilms. Advanced machine learning techniques including Convolutional Neural Networks (CNN), Random Forest, Support Vector Machines, Long Short-Term Memory networks, and Bayesian analysis were employed to analyze cyclic voltammetry data and predict electrode performance for methanol oxidation. The deep CNN achieved superior classification accuracy of 98% (AUC = 0.98) compared to Random Forest (91%) and SVM (87%). Principal Component Analysis revealed that electrode modifications systematically altered electrochemical properties, with methanol oxidation peak current and potential being the most discriminative features (47% combined importance). Autoencoder-based denoising successfully reconstructed CV curves with minimal error, while LSTM networks demonstrated predictive capability for temporal electrode behavior and methanol oxidation efficiency. The integration of machine learning with fundamental electrochemical principles provides a powerful framework for automated electrode characterization, quality control, and performance optimization in methanol fuel cell applications.&lt;/span&gt;</Abstract>
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			<Param Name="value">Machine Learning</Param>
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			<Object Type="keyword">
			<Param Name="value">Methanol fuel cells</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Carbon paste electrodes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cyclic voltammetry</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Deep Learning</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Electrode modification</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Bioelectrochemistry</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Zinc catalysis</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.abechem.com/article_741068_ff55dd12e5695ee2abf17a3bf48d4ced.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Analytical and Bioanalytical Electrochemistry is an international scientific journal published online by the Center of Excellence in Electrochemistry at the University of Tehran, Tehran, Iran. The journal was published quarterly from 2009 to 2011, bimonthly from 2011 to 2018, and has been published in at least eight issues per year since 2018.</PublisherName>
				<JournalTitle>Analytical and Bioanalytical Electrochemistry</JournalTitle>
				<Issn>-</Issn>
				<Volume>18</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>28</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Electrocatalytic Oxidation and Determination of Metoprolol using a Bimetallic Cu-Ni Sensing Platform</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>15</FirstPage>
			<LastPage>30</LastPage>
			<ELocationID EIdType="pii">741074</ELocationID>
			
<ELocationID EIdType="doi">10.22034/abec.2026.2069163.1616</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mmohammad Reza</FirstName>
					<LastName>Salemi</LastName>
<Affiliation>Department of Chemistry, Am.C.  Islamic Azad University, Amol, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Shahla</FirstName>
					<LastName>Fathi</LastName>
<Affiliation>Department of Chemistry, Am.C.  Islamic Azad University, Amol, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-4066-5571</Identifier>

</Author>
<Author>
					<FirstName>Fereshteh</FirstName>
					<LastName>Chekin</LastName>
<Affiliation>Department of Chemistry, Am.C.  Islamic Azad University, Amol, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Banafsheh</FirstName>
					<LastName>Norouzi</LastName>
<Affiliation>Department of Chemistry, QaS.C., Islamic Azad University, Qaemshahr, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>08</Month>
					<Day>18</Day>
				</PubDate>
			</History>
		<Abstract>Metoprolol tartrate (MET) is a selective β-adrenergic antagonist used in the treatment of cardiovascular diseases. MET overdose can affect the heart, blood pressure, breathing, and nervous system. Hence, sensitive and easy methods are required for its determination. In this work, we report a simple approach for fabrication of a bimetallic Cu/Ni modified carbon paste electrode (Cu/Ni/CPE) for electrocatalytic oxidation and determination of the metoprolol drug. At first, using the electrodeposition method, Ni was deposited on the carbon paste electrode at room temperature; then, a galvanic replacement reaction was applied for the replacement of some nickel atoms with Cu atoms. Effective parameters on electrode response to metoprolol were optimized. In optimized conditions, the bimetallic modified electrode exhibited higher electrocatalytic activity for metoprolol than a single metal modified electrode: Cu/Ni/CPE has a wider linear range and higher sensitivity to metoprolol respect to Ni/CPE. The surface of Cu/Ni/CPE was characterized by field emission scanning electron microscopy (FE-SEM) and Energy-dispersive X-ray spectroscopy (EDX). The linear dynamic range of this modified electrode for metoprolol is 1×10&lt;sup&gt;-5&lt;/sup&gt; to 7×10&lt;sup&gt;-4&lt;/sup&gt; M, and the limit of detection was determined to be 2.9 µM. Finally, this modified electrode was applied for the determination of metoprolol in human plasma and tablet samples, and acceptable results were obtained. For comparison, spectrophotometry was used as the reference method.</Abstract>
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			<Param Name="value">Metoprolol</Param>
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			<Object Type="keyword">
			<Param Name="value">Determination</Param>
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			<Object Type="keyword">
			<Param Name="value">Electrodeposition</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Galvanic replacement reaction</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Modified electrode</Param>
			</Object>
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<ArchiveCopySource DocType="pdf">https://www.abechem.com/article_741074_be0dc098a2dfc7d12f28ebf0f01fd65d.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Analytical and Bioanalytical Electrochemistry is an international scientific journal published online by the Center of Excellence in Electrochemistry at the University of Tehran, Tehran, Iran. The journal was published quarterly from 2009 to 2011, bimonthly from 2011 to 2018, and has been published in at least eight issues per year since 2018.</PublisherName>
				<JournalTitle>Analytical and Bioanalytical Electrochemistry</JournalTitle>
				<Issn>-</Issn>
				<Volume>18</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>28</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Electrochemically Grafted Azo Polymer Interface on Copper: A Robust Platform for Efficient Pb²⁺ Adsorption and Recovery</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>31</FirstPage>
			<LastPage>51</LastPage>
			<ELocationID EIdType="pii">741076</ELocationID>
			
<ELocationID EIdType="doi">10.22034/abec.2026.741076</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ahmed</FirstName>
					<LastName>Kandory</LastName>
<Affiliation>Department of Chemistry, College of Science, University of Diyala, Iraq</Affiliation>
<Identifier Source="ORCID">0000-0002-7641-992X</Identifier>

</Author>
<Author>
					<FirstName>Aseel Jamal</FirstName>
					<LastName>Ahmed</LastName>
<Affiliation>Department of Chemistry, College of Science, University of Diyala, Iraq</Affiliation>

</Author>
<Author>
					<FirstName>Ali E.</FirstName>
					<LastName>Karim</LastName>
<Affiliation>College of Veterinary Medicine, University of Diyala, Iraq</Affiliation>

</Author>
<Author>
					<FirstName>Zainab Esmail</FirstName>
					<LastName>Sadeq</LastName>
<Affiliation>Department of Chemistry, College of Science, University of Diyala, Iraq</Affiliation>
<Identifier Source="ORCID">0009-0008-6807-1581</Identifier>

</Author>
<Author>
					<FirstName>Aseel Hussein</FirstName>
					<LastName>Musleh</LastName>
<Affiliation>Department of Chemistry, College of Science, University of Diyala, Iraq</Affiliation>
<Identifier Source="ORCID">0009-0009-0817-4711</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>This study introduces a novel electrochemical strategy for fabricating a robust and selective adsorptive interface by covalently grafting an azo-functionalized polymer (AZO Polymer) onto a copper electrode via diazonium chemistry for efficient Pb²⁺ removal from aqueous solutions. The synthesized poly(acrylamide-co-o-cresol) was characterized by FTIR, ¹H NMR, and XPS, confirming the successful incorporation of azo (–N=N–) and amide (–CONH₂) functionalities. Electrochemical grafting yielded a uniform, porous polymeric layer, as evidenced by SEM and N₂ physisorption, which increased the surface area and provided abundant coordination sites. The adsorption kinetics, monitored by electrochemical impedance spectroscopy (EIS) and quartz crystal microbalance (EQCM), revealed a rapid initial uptake, with Pb²⁺ removal efficiency reaching ~55% within 30 minutes and attaining a plateau of ~94% after 60 minutes (20 ppm, pH 7, 25°C). EIS analysis demonstrated a systematic increase in charge-transfer resistance (Rct) from ~820 Ω cm² to ~4650 Ω cm² over 60 minutes, correlating directly with Pb²⁺ accumulation. Remarkably, the electrode maintained &gt;84% of its initial adsorption capacity after five consecutive adsorption–desorption cycles, demonstrating excellent reusability and interfacial stability. This work establishes electrochemically grafted AZO polymer layers as a durable, efficient, and regenerable platform for selective heavy metal remediation, merging covalent surface anchoring with tailored molecular affinity for sustainable water treatment.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Electrochemical grafting</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Diazonium chemistry</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Azo polymer</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Heavy metal remediation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">electrochemical impedance spectroscopy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Water treatment</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.abechem.com/article_741076_0465f9163c6145a9ee86ce5aaf978541.pdf</ArchiveCopySource>
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<Article>
<Journal>
				<PublisherName>Analytical and Bioanalytical Electrochemistry is an international scientific journal published online by the Center of Excellence in Electrochemistry at the University of Tehran, Tehran, Iran. The journal was published quarterly from 2009 to 2011, bimonthly from 2011 to 2018, and has been published in at least eight issues per year since 2018.</PublisherName>
				<JournalTitle>Analytical and Bioanalytical Electrochemistry</JournalTitle>
				<Issn>-</Issn>
				<Volume>18</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>28</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Novel Potentiometric Sensor for Trace Barium based on a 4,4′-Dinitrobenzil Derivative Ionophore Synthesized via Nano-Ionic Liquid Catalysis</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>52</FirstPage>
			<LastPage>69</LastPage>
			<ELocationID EIdType="pii">741077</ELocationID>
			
<ELocationID EIdType="doi">10.22034/abec.2026.2087282.1689</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Farhang</FirstName>
					<LastName>Mizani</LastName>
<Affiliation>Department of Chemistry, Faculty of Science, Imam Khomeini International University, Qazvin, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-8027-1278</Identifier>

</Author>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Rajabi</LastName>
<Affiliation>Department of Chemistry, Payame Noor University, 19395-4697 Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-8027-1278</Identifier>

</Author>
<Author>
					<FirstName>Leila</FirstName>
					<LastName>Sadeghian</LastName>
<Affiliation>Department of Chemistry, Payame Noor University, 19395-4697 Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-8027-1278</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>12</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>Among the analytical methods for measuring small amounts of metal ions, potentiometric ion-selective sensors have high speed, precision, and accuracy and are more convenient to use. On the other hand, one-pot synthesis offers an attractive and sustainable approach by reducing waste, saving time, and simplifying complex multi-step reactions. Another important advantage of one-pot synthesis lies in its improved atom economy and reduced environmental footprint. In this research, a new Ba&lt;sup&gt;2+&lt;/sup&gt; ion-extracting potentiometric sensor based on 1,2-bis(4-nitrophenyl) ethane-1,2-dione (4,4’-dinitrobenzil) (BNED) ligand was prepared. The interaction between the ligand with barium ions and other metal ions were investigated through UV-Vis spectroscopy, which indicated the selectivity for Ba&lt;sup&gt;2+&lt;/sup&gt;. The optimal percentage composition for the present electrode membrane is 37:55:3:5, respectively for PVC:BA: NaTPB: BNED. This sensor has a Nernst slope of 24.9 mV/Decade in the linear range of 1-10&lt;sup&gt;-7&lt;/sup&gt; M to 1-10&lt;sup&gt;-2&lt;/sup&gt; M. The response of the electrode in the pH range of 4.0 to 10.5 is independent of the changes in the concentration of H&lt;sup&gt;+&lt;/sup&gt; ions. The designed electrode has a lifespan of about 3 months and a response time of about 25 seconds. This sensor has good selectivity for Ba&lt;sup&gt;2+&lt;/sup&gt; over various cations (alkali metals, alkaline earth metals, heavy metals and transition metals). The electrode prepared in the present study was used as a detector electrode in the measurement of Ba&lt;sup&gt;2+&lt;/sup&gt; in real samples.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">Potentiometric sensor</Param>
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			<Object Type="keyword">
			<Param Name="value">1,2-bis(4-nitrophenyl) ethane-1,2-dione (4,4&amp;rsquo</Param>
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			<Object Type="keyword">
			<Param Name="value">-dinitrobenzil)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ion-selective membrane electrode</Param>
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			<Object Type="keyword">
			<Param Name="value">Barium ion</Param>
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<ArchiveCopySource DocType="pdf">https://www.abechem.com/article_741077_795e030815f36adc425768e55364f911.pdf</ArchiveCopySource>
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<Article>
<Journal>
				<PublisherName>Analytical and Bioanalytical Electrochemistry is an international scientific journal published online by the Center of Excellence in Electrochemistry at the University of Tehran, Tehran, Iran. The journal was published quarterly from 2009 to 2011, bimonthly from 2011 to 2018, and has been published in at least eight issues per year since 2018.</PublisherName>
				<JournalTitle>Analytical and Bioanalytical Electrochemistry</JournalTitle>
				<Issn>-</Issn>
				<Volume>18</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>28</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Artificial Intelligence for Green Hydrogen Technology and Renewable Energy Integration: A Comprehensive Review</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>70</FirstPage>
			<LastPage>95</LastPage>
			<ELocationID EIdType="pii">741078</ELocationID>
			
<ELocationID EIdType="doi">10.22034/abec.2026.741078</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Harikrishnan</FirstName>
					<LastName>Hariharan</LastName>
<Affiliation>Department of Electrical &amp; Electronics Engineering, Paavai Engineering College, Tamil Nadu, 637018, India</Affiliation>
<Identifier Source="ORCID">0000-0002-4777-3727</Identifier>

</Author>
<Author>
					<FirstName>Aishwarya</FirstName>
					<LastName>Venkittaraman</LastName>
<Affiliation>Department of Pharmaceutical Technology, Paavai Engineering College, Tamil Nadu, 637018, India</Affiliation>
<Identifier Source="ORCID">0000-0002-4567-1380</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>11</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>Green hydrogen, produced by renewable energy-powered water electrolysis, is emerging as a promising solution for global decarbonization. Green hydrogen offers a sustainable alternative to fossil fuels, reducing greenhouse gas emissions across various industries. However, several challenges, including energy efficiency, high production costs, and storage concerns, have turned out to be the major impediments to its large-scale deployment. Artificial Intelligence (AI) provides transformative opportunities to optimize green hydrogen production, improve storage techniques, and enable integration with renewable energy systems. This review explores the role of AI techniques, encompassing machine learning, reinforcement learning, and Digital Twins (DTs), in enhancing electrolyzer performance, system degradation prediction, and hydrogen distribution network management. Additional AI applications for storage material discovery, energy forecasting, and sector-level applications in transport, power, and industry are also highlighted in this review. A conceptual framework is provided to map AI models to every stage of the hydrogen value chain. Gaps in the literature and opportunities for interdisciplinary collaboration are identified toward the realization of scalable intelligent hydrogen systems. The review concludes by proposing future avenues for AI-enabled innovations, maintaining a sustainable green hydrogen economy.</Abstract>
<ArchiveCopySource DocType="pdf">https://www.abechem.com/article_741078_26bb2c9cef748d59626134199cf5e405.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>Analytical and Bioanalytical Electrochemistry is an international scientific journal published online by the Center of Excellence in Electrochemistry at the University of Tehran, Tehran, Iran. The journal was published quarterly from 2009 to 2011, bimonthly from 2011 to 2018, and has been published in at least eight issues per year since 2018.</PublisherName>
				<JournalTitle>Analytical and Bioanalytical Electrochemistry</JournalTitle>
				<Issn>-</Issn>
				<Volume>18</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>02</Month>
					<Day>28</Day>
				</PubDate>
			</Journal>
<ArticleTitle>V2O₅-Based Cathodes in Aqueous Zn-Ion Batteries: From Structural Modifications to Superior Performance</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>96</FirstPage>
			<LastPage>132</LastPage>
			<ELocationID EIdType="pii">741082</ELocationID>
			
<ELocationID EIdType="doi">10.22034/abec.2026.741082</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Sepideh</FirstName>
					<LastName>Nasimi</LastName>
<Affiliation>Department of Chemistry, Amirkabir University of Technology, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mehran</FirstName>
					<LastName>Javanbakht</LastName>
<Affiliation>Department of Chemistry, Amirkabir University of Technology, Tehran, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Khadijeh</FirstName>
					<LastName>Hooshyari</LastName>
<Affiliation>Department of Chemistry, Iran University of Science and Technology, Tehran 16846-1314, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2026</Year>
					<Month>01</Month>
					<Day>03</Day>
				</PubDate>
			</History>
		<Abstract>Zinc-ion batteries have been proposed as promising alternatives for energy storage systems owing to their high safety, low cost, and environmental compatibility. Among them, V&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;5&lt;/sub&gt; is considered one of the most important candidates for use as a cathode in these batteries because of its high specific capacity, multiple oxidation states, and suitable layered structure. However, challenges such as low conductivity, dissolution of vanadium in aqueous electrolytes, structural changes during the charge and discharge processes, and formation of unstable by-products have limited the performance of this material. Recently, various strategies have been introduced to overcome these problems, including interlayer insertion of cations and water molecules, metal doping, surface modification with conductive coatings, and electrolyte optimization. These modifications have led to expanded interlayer spacing, improved structural stability, enhanced ionic and electronic conductivity, and ultimately increased specific capacity and cycle life in V&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;5&lt;/sub&gt;-based batteries. A review of recent research suggests that structural and compositional engineering of V&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;5 &lt;/sub&gt;could pave the way for the development of stable and high-performance cathodes and significantly support their technological development in future energy storage applications.</Abstract>
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			<Param Name="value">Aqueous zinc-ion batteries</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cathodes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Vanadium Pentoxide</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">electrochemical mechanism</Param>
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			<Object Type="keyword">
			<Param Name="value">Modifications</Param>
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			<Object Type="keyword">
			<Param Name="value">Interlayer engineering</Param>
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