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Valorization potential of coffee capsule waste: an updated bibliometric review

Environmental science and Pollution Research 2025年第4期32卷 1681-1692页

作者： dos Santos, Wallan Azevedo Holanda, José Nilson F. Postgraduate Program in Materials Science and Engineering Darcy Ribeiro Northern Fluminense State University RJ Campos Dos Goytacazes City28013-602 Brazil Laboratory of Advanced Materials Darcy Ribeiro Northern Fluminense State University RJ Campos Dos Goytacazes City28013-602 Brazil

In recent years, coffee capsule waste has been generated on an increasingly large scale worldwide, but disposing of it in an environmentally sustainable and economical manner still poses major challenges. This work maps the original scientific production focused on the valorization of coffee capsule waste through a bibliometric review based on scientific articles published in the last 10 years (from 2014 to 2024) in the Scopus database. The review identified different ways of valuing coffee capsule waste, including the development of composite materials, composting, energy production, jewelry and decorative items, and the construction of supercapacitors and sensors. Some significant aspects were also emphasized: (i) this subject has a high potential for further growth;(ii) the published articles considered only part of the components of the coffee capsule waste;and (iii) most of the published articles were based on laboratory-scale experiments. Thus, the valorization of coffee capsule waste requires even more development. To address these challenges, manufacturers, consumers, researchers, governments, and the recycling industry should make a joint effort to develop innovative solutions that enable the complete valorization of coffee capsule waste in an environmentally friendly way. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Circular economy

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Self SOC estimation for second-life lithium-ion batteries

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IEEE Access 2025年 13卷 75037-75046页

作者： Gotz, J. Viana, E.R. Galvão, J.R. Corrêa, F.C. Borsato, M. Badin, A.A. UTFPR Av. Sete de Setembro PR Curitiba3165 Brazil Department of Computer Science PR Curitiba Brazil Department of Physics UTFPR Av. Sete de Setembro PR Curitiba3165 Brazil PR Ponta Grossa Brazil Postgraduate Program in Mechanical and Materials Engineering PR Curitiba Brazil

Lithium-ion batteries (LIB) are the mainstream technology for energy storage in several industrial segments, such as mobility and stationary systems for solar, wind, or other alternative energy source. This technology has a long lifetime, low self-discharge, high capacity and density, and can store energy longer. Despite that, LIB is suitable to supply power for electric mobility if its state of health (SOH) is higher than 80%. Then, an alternative for batteries with SOH below that is recycling or second-life batteries (SLB). The first is expensive and complex;only some companies retain the technology. Still, the SLB can be an excellent solution to maintaining LIBs in operation for slow vehicles or stationary systems. However, SLB requires intelligent battery management systems (BMS) because the packs are composed of cells with different characteristics, which makes the operation more difficult. This work presents a system consisting of two Machine Learning (ML) layers to automatically estimate the state of charge (SOC) of SLB independent of the battery's capacity or age. In the first phase, a Random Forest (RF) model was built and trained to discover the curve capacity of different SLB characteristics and capacities. After the capacity curve selection, in the second phase, a new RF model was built and trained for each capacity curve to make SOC inferences of the batteries. The discharge data curve of one hundred batteries was used for the development, whereas eighteen were used for the training and eighty-two for tests. The results indicated a root square mean error (RSME) below 45 mAh for the capacity estimation (phase 1), and an RSME below 0.87% was found in the second phase for the SOC estimation. Finally, the capacity and SOC models have been inserted in a Raspberry system to measure the main parameters of SLB (voltage and current) and make inferences in real time independent of the cell's age. The results showed an RSME below 100 mAh for the first layer and be

关键词： Lithium-ion batteries

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Recent advances in silver oxide-based superconductors: characterization, challenges and theoretical progress

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Journal of the Korean Ceramic Society 2025年 1-20页

作者： Duma, Tulus Na Humaidi, Syahrul Imaduddin, Agung Kechik, Mohd. Mustafa Awang Miryala, Muralidhar Postgraduate Program (Physics) FMIPA Universitas Sumatera Utara Medan Indonesia Research Center for Advanced Materials-National Research and Innovation Agency (BRIN) Tangerang Selatan Indonesia Superconductor and Thin Films Laboratory Department of Physics Faculty of Science Universiti Putra Malaysia UPM Serdang Selangor Darul Ehsan Malaysia Materials for Energy and Environmental Laboratory Superconducting Materials Group Graduate School of Science and Engineering Shibaura Institute of Technology Tokyo Japan

Recent advancements in superconductivity have generated significant interest in silver oxide-based materials due to their potential for unconventional superconducting mechanisms and unique electronic properties. This review provides a comprehensive analysis of recent progress in the synthesis, characterization and theoretical modeling of these superconductors. Experimental techniques such as hydrothermal, sol-gel and solid-state methods are critically assessed, highlighting key challenges in achieving the desired composition, crystal structure and phase purity. Additionally, the integration of density functional theory (DFT) and machine learning (ML) has emerged as a powerful approach for predicting novel silver oxide superconductors with improved properties, with recent models identifying candidate materials with potential $${T}_{c}$$ values exceeding 50 K. Despite these promising developments, significant challenges remain, particularly concerning large-scale production, material stability and superconducting phase optimization. By integrating experimental insights with computational advancements, this review outlines key directions for future research, aiming to accelerate the discovery and practical implementation of silver oxide-based superconductors for energy, quantum computing and electronic applications.

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Molecularly imprinted polymers for illicit drug detection: A review of computational and synthesis methods

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Talanta 2025年 294卷 128220页

作者： Neres, Lariel Chagas da Silva Khan, Sabir Zeb, Shakeel Sotomayor, Maria del Pilar Taboada Calvo-Marzal, Percy SP Araraquara14801-970 Brazil Department of Chemistry University of Central Florida OrlandoFL32816 United States Technological Development Center—CDTec Postgraduate Program in Materials Science and Engineering—PPGCEM Federal University of Pelotas—UFPel RS Pelotas96010-610 Brazil School of Chemistry and Chemical Engineering Jiangsu University Zhenjiang212013 China

This review discusses the current state of molecularly imprinted polymers (MIPs) used for drug extraction and quantification. It begins with an introduction to MIP synthesis techniques that utilize illegal drugs as templates. The subsequent sections explore applications, focusing on the detection of illegal narcotics. The advantages and limitations of MIPs receive detailed examination. A comprehensive literature survey then covers various classes of illicit drugs, including opioids, stimulants, cannabinoids, and hallucinogens. Notably, the review highlights the role of computational simulations, including density functional theory (DFT), in optimizing MIP fabrication and enhancing performance. The review concludes with a discussion on the challenges related to the lack of standard parameters for selectivity, the need for robust characterization methods, and the pros and cons of using nanomaterials in MIPs. Recommendations for resolving these issues and potential future developments aimed at broadening the application scope in relevant fields are presented. Overall, this review serves as a valuable resource for researchers involved in the development and application of illicit drug detection technologies using molecularly imprinted polymers. © 2025 Elsevier B.V.

关键词： Density functional theory

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Performance of atrial conduction velocity algorithms with error-prone clinical measurements for the identification of atrial fibrosis

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Computers in Biology and Medicine 2025年 191卷 110119-110119页

作者： Gharaviri, Ali Vigneswaran, Vinush Vickneson, Keeran Roney, Caroline Corrado, Cesare Coveney, Sam Maciunas, Kestutis Bodagh, Neil Klis, Magda Kotadia, Irum Sim, Iain Whitaker, John Bishop, Martin Niederer, Steven O'Neill, Mark Williams, Steven E. Centre for Cardiovascular Science The University of Edinburgh United Kingdom School of Biomedical Engineering and Imaging Sciences King's College London United Kingdom School of Engineering and Materials Science Queen Mary University of London United Kingdom National Heart & Lung Institute - Faculty of Medicine Imperial College London United Kingdom Heart Rhythm Research Brussels Postgraduate Program in Cardiac Electrophysiology and Pacing Vrije Universiteit Brussel Brussels Belgium Heart Rhythm Management Centre Universitair Ziekenhuis Brussel Brussels Belgium Brussels1050 Belgium

Introduction: Measuring conduction velocity, as a direct consequence of fibrosis, may provide a better method to localise fibrotic regions. This study aims to assess established cardiac conduction velocity calculation methods (Triangulation, Polynomial Surface Fitting, and Radial Basis Function) in identifying areas of conduction slowing caused by fibrosis, considering realistic measurement errors. Method: Using a human left atrium computational model, atrial activation was simulated. Each conduction velocity calculation method's performance was evaluated under uncertainties in mapping point density, local activation time assignment and electrode locations by comparing calculated conduction velocity to ground truth conduction velocity derived from high-resolution simulated atrial activation. Results: All methods agreed well with ground truth conduction velocity maps in noise-free, high-density sampling conditions. However, Triangulation and Polynomial Surface Fitting methods showed susceptibility to noise, exhibiting significant errors under moderate to high noise levels. Radial Basis Function method demonstrated greater robustness to noise and reduced sampling density. Fibrotic region identification accuracy was high under ideal conditions for all methods but declined with increasing noise, with the Radial Basis Function method maintaining superior performance. Conclusion: While all methods accurately estimate conduction velocity under ideal conditions, the Radial Basis Function method shows robustness to a realistic clinical noise, hence making it the most suitable to identify fibrotic regions. © 2025

关键词： Triangulation

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Advanced landfill leachate treatment: Sequential electrocoagulation and electrooxidation system for efficient remediation

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Journal of Water Process engineering 2025年 74卷

作者： Justen, Nicóli Borba, Fernando H. Mayer, Ildemar Seibert, Daiana Inticher, Jonas J. Ferreira Piazzi Fuhr, Ana C. Carissimi, Elvis Leichtweis, Jandira Postgraduate Program of Environment and Sustainable Technologies Federal University of Fronteira Sul Av. Jacob Reinaldo Haupenthal 1580 RS Cerro Largo 97900-000 Brazil Postgraduate Program of Chemical Engineering West Paraná State University Rua da Faculdade 645 Jd. Santa Maria PR Toledo 85903-000 Brazil Materials Science and Engineering Graduate Program Federal University of Pelotas 1 Gomes Carneiro St. RS Pelotas 96010-610 Brazil Department of Sanitation and Environmental Engineering Federal University of Santa Maria Av. Roraima 1000 RS Santa Maria 97105-000 Brazil

The treatment of concentrated landfill leachate generated by nanofiltration and reverse osmosis processes represents a significant challenge. This concentrate is characterized by high concentrations of heavy metals, contaminants of emerging concern, dissolved salts, and organic compounds. In this study, a novel advanced treatment system integrating an Electrocoagulation Reactor with a subsequent electrooxidation process was proposed. Two anode/cathode arrangements were evaluated: electrocoagulation followed by electrooxidation with “boron-doped diamond” and steel electrodes, and electrocoagulation followed by electrooxidation with “boron-doped diamond” and aluminum electrodes, focusing on their effectiveness in degrading contaminants and improving the quality of the treated concentrated landfill leachate. In order to monitor the efficiency of the electrocoagulation process and integrated systems, the degradation of the physicochemical parameters of absorbance at 254 nm, total organic carbon, and turbidity were investigated. Within the best performance, acute toxicity indices (Artemia salina - LC50) were determined and possible degradation and/or formation of contaminants of emerging concern were identified by gas chromatography–mass spectrometry (GC–MS). The results indicated the mineralization of 73 % of total organic carbon and 25 % of total nitrogen, an increase in the biodegradability fraction (BOD5/COD) of the concentrated landfill leachate from 0.18 to 0.35, as well as a significant reduction in toxicity (LC50 of 54.4 %), demonstrated by Artemia salina bioassays. The reduction in toxic potential was also observed in the by-product analysis by GC–MS, which indicated the removal of emerging contaminants such as benzene, 2-(2-methoxy-1-propenyl)-1,3,5-trimethylbenzene, benzothiazole, 2-(methylthio) and phenol, 2,2′-methylenebis[6-(1,1-dimethylethyl)-4-methyl-. These findings highlight that the integration of the electrocoagulation process with electrooxidation us

关键词： Concentrated landfill leachate Contaminants of emerging concern Electrocoagulation Electrooxidation

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Production of cobalt- and manganese-based oxide nanofibers via solution blow spinning: Structural properties and high-performance oxygen evolution reaction

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Applied Surface science 2025年 703卷

作者： Pereira, Thiago O. Raimundo, Rafael A. Alves, Ricardo F. Morales, Marco A. Simões, Thiago A. Medeiros, Eliton S. Macedo, Daniel A. Dutra, Ricardo P.S. Materials Science and Engineering Postgraduate Program Federal University of Paraíba PB João Pessoa58051-900 Brazil TEMA – Centre for Mechanical Technology and Automation Department of Mechanical Engineering University of Aveiro Aveiro3810-193 Portugal Department of Mechanical Engineering Federal University of Paraíba PB João Pessoa58051-900 Brazil Department of Theoretical and Experimental Physics Federal University of Rio Grande do Norte Natal59078-970 Brazil Cabo de Santo Agostinho PE 54518-430 Brazil Department of Materials Engineering Federal University of Paraíba PB João Pessoa58051-900 Brazil

Cobalt- and manganese-based oxides (Co3O4, MnCo2O4, and CoMn2O4) with nanofiber-like morphology were successfully synthesized via solution blow spinning (SBS) and evaluated as electrocatalysts for the oxygen evolution reaction (OER). The structural, morphological, and surface properties of the prepared materials were investigated through x-ray diffraction (XRD), field emission scanning electron microscope (FESEM), Fourier-transform infrared (FTIR), Raman spectroscopy, x-ray photoelectron spectra (XPS), and magnetic measurements. The magnetic characterization of MnCo2O4, CoMn2O4, and Co3O4 confirmed their phase purity and expected magnetic behavior. MnCo2O4 exhibited ferromagnetic ordering (θ = +145 K) with Hc = 8200 Oe and Ms = 11.9 emu/g at 5 K. CoMn2O4 showed multiple transitions at 178 K, 169 K, and 81 K, suggesting ferrimagnetic ordering. Co3O4 displayed antiferromagnetic behavior with a Néel temperature of 37 K. These results corroborate with the literature, validating the synthesis and characterization. X-ray photoelectron spectroscopy (XPS) analysis confirmed the oxidation states of Co and Mn and the presence of oxygen vacancies in CoMn2O4, MnCo2O4, and Co3O4. The Oads/Olats ratio indicated a higher concentration of oxygen vacancies in CoMn2O4 (1.21), while MnCo2O4 exhibited the highest Mn4+ content (Mn4+/Mn3+ = 0.76). The Co3+/Co2+ ratio was higher in MnCo2O4 (1.94), suggesting enhanced oxidation stability. The electrochemical characterization for OER in 1 M KOH electrolyte of the CoMn2O4, MnCo2O4, and Co3O4 samples displayed overpotentials of 330, 348, and 375 mV, respectively, to achieve a current density of 10 mA cm−2. Cyclic voltammetry and electrochemical impedance spectroscopy further corroborate these findings. The electrodes exhibited great stability maintaining their performance for 20 h. A detailed surface chemistry analysis showed that oxygen vacancy-rich samples exhibited enhanced charge transfer and generated Mn catalytic sites that facilitated

关键词： Fourier transform infrared spectroscopy

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Study of doxorubicin release carried out by pH-responsive chitosan-alginate hydrogels

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Journal of Molecular Liquids 2025年 429卷

作者： Oliveira, Thayane Portela da Silva, Jhaemely Gabrielly Vieira Costa, Paloma Maia de Oliveira, Maykol Christian Damasceno Coelho, Ronaldo Cunha Santos Nascimento, Ariane Maria Silva Silva-Filho, Edson Cavalcanti dos Santos, Francisco Eroni Paz Muniz, Edvani Curti Postgraduate Program in Engineering and Materials Science Federal University of Piauí PI Teresina64049550 Brazil Physics Department Federal University of Piauí PI Teresina64049550 Brazil Department of Teacher Training Instituto Federal do Piauí PI Teresina64053-390 Brazil Chemistry Department Federal University of Piauí PI Teresina64049550 Brazil Chemistry Department State University of Maringá PR Maringá87020-900 Brazil

The use of polysaccharides in drug delivery systems has attracted increasing interest due to their functional properties. Among these, alginate (ALG) and chitosan (CH) are promising candidates for sustained drug delivery as they respond to pH, ensuring that the compound is released in a desired area. In this research physical hydrogels based on alginate and chitosan (ALG/CH) were prepared by varying the synthesis parameters (ALG at ALG/CH ratio, pH and speed stirring) and the effects of such parameters on hydrogels’ chemical and physical structure were accessed through several techniques. Also, the effects synthesis parameters on fractional release (Fmax), half time (t1/2) and percentage encapsulation efficiency (EE%), as the evaluated responses, were statically measured using a factorial design. Analysis through Raman and FTIR spectroscopies revealed the modes and bands corresponding to the precursors, confirming the formation of physically cross-linked hydrogels. The porous structure of the materials was confirmed by scanning electron microscopy (SEM). The swelling capacities of the hydrogels were analyzed at different pHs (5.4 and 7.4) and demonstrated that absorption increases in slightly acidic media. TG/DTG and Micro-CT analyzes of the sample with the greatest swelling showed that the degradation of the hydrogel occurs in two endothermic events and that the material possesses several sized and interconnected pores. The doxorubicin (DOX) release study showed that the release rate is higher as the higher proportion of CH relative to ALG. The factorial design analysis indicated the statistically significant factors in the DOX release tests. Thus, the results suggest that ALG/CH hydrogels can be tuned during their preparation to achieve optimal structure for pH-responsive to be applied for DOX releasing system. © 2025 Elsevier B.V.

关键词： Microgels

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Green synthesis of Ni, Co-based oxides for water oxidation applications

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materials science in Semiconductor Processing 2025年 195卷

作者： Andrade, Verônica de M. Lopes, Sávio M. Raimundo, Rafael A. Alves, Ricardo F. Araújo, Allan J.M. Vieira, Pamala S. da Silva, Fausthon F. Morales, Marco A. Macedo, Daniel A. Fagg, Duncan P. Souza, Glageane da S. Academic Unit of Biology and Chemistry Federal University of Campina Grande PB Cuité58175-000 Brazil Materials Science and Engineering Graduate Program UFPB João Pessoa58051-900 Brazil TEMA - Centre for Mechanical Technology and Automation Department of Mechanical Engineering University of Aveiro Aveiro3810-193 Portugal Federal University of Paraíba Department of Mechanical Engineering PB João Pessoa58051-900 Brazil LASI - Intelligent Systems Associate Laboratory Guimarães4800-058 Portugal Materials Science and Engineering Postgraduate Program Federal University of Rio Grande do Norte Natal59078-970 Brazil Department of Chemistry Federal University of Paraíba Paraíba João Pessoa58051-900 Brazil Department of Theoretical and Experimental Physics Federal University of Rio Grande do Norte RN Natal59078-970 Brazil

This work reports new Ni,Co-oxides based nanoparticles as electrocatalysts for the Oxygen Evolution Reaction (OER), considering the growing demand for renewable energy, as well as the search for sustainable alternatives in the production of nanoparticle materials. Ni,Co-based nanoparticles were obtained via proteic sol-gel method, with Agar-Agar from red seaweed (Rhodophyta) as polymerizing agent, and characterized by using X-ray diffraction techniques (including Rietveld refinement), Field emission scanning electron microscopy and vibrational spectroscopy (infrared and Raman). All structural analyses indicated that the crystalline phases NiO, Ni0.9Co0.1O and (Ni,Co)O-Co3O4 were obtained. Electrochemical techniques were applied to investigate the OER electrocatalytic performance, with the (Ni,Co)O-Co3O4 electrocatalyst showing the lowest overpotential (356 mV vs. RHE at J = 10 mA cm−2) and a Turnover Frequency (TOF) of 9.97 × 10−3 mol O2 s−1 at just 500 mV vs. RHE. Furthermore, all prepared electrocatalysts showed excellent chemical stability up to 15 h, as indicated in chronopotentiometry data. © 2025 Elsevier Ltd

关键词： Rietveld refinement

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Understanding the effect of preparation technique and compaction pressure on the microstructure, sinterability and mechanical properties of the Cu-20 wt% WC composite prepared with recycled WC

Journal of Alloys and Compounds Communications

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Journal of Alloys and Compounds Communications 2025年 6卷

作者： Rafael A. Raimundo Franciné A. Costa Marco A. Morales Daniel A. Macedo Angelus G.P. Silva Uílame U. Gomes Federal University of Paraíba Department of Materials Science and Engineering João Pessoa PB 58051-900 Brazil TEMA – Centre for Mechanical Technology and Automation Department of Mechanical Engineering University of Aveiro Aveiro 3810-193 Portugal Mechanical Engineering Postgraduate Program UFRN Natal 59078-970 Brazil Department of Theoretical and Experimental Physics UFRN Natal 59078-970 Brazil Materials Science and Engineering Postgraduate Program UENF Campos dos Goytacazes 28015-620 Brazil Materials Science and Engineering Postgraduate Program UFRN Natal 59078-970 Brazil

The study investigated the impact of different preparation techniques (Mechanical Mixing - MM and High Energy Milling - HEM) and compaction pressures on the microstructure, sinterability and mechanical properties of the Cu-20 %WC composite using recycled WC. The results indicated that HEM promotes greater homogeneity, dispersion and refinement of the WC phase in copper, resulting in denser and more uniform microstructures after sintering. Although higher pressures increased the density of green compacts, they reduced densification during sintering, especially for powders prepared by MM, due to the segregation of the Cu and WC phases. On the other hand, compacts sintered with HEM powders prsented higher Vickers microhardness and better magnetic properties, attributed to the uniform distribution of WC particles and the increase in the interaction between the phases. Furthermore, the study highlights the influence of metallic impurities (Fe, Co and Ni) on the magnetic properties of the composite materials.

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