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Search Results (9,341)

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21 pages, 2201 KiB  
Article
A Green Laboratory Approach to Medical Sample Transportation: Assessing the Carbon Dioxide (CO2) Footprint of Medical Sample Transportation by Drone, Combustion Car, and Electric Car
by Noel Stierlin, Fabian Loertscher, Harald Renz, Lorenz Risch and Martin Risch
Drones 2024, 8(9), 489; https://doi.org/10.3390/drones8090489 (registering DOI) - 14 Sep 2024
Abstract
In response to escalating climate change concerns, this study evaluates the ecological impact and efficiency of medical sample transportation using drones, combustion cars, and electric cars across various terrains and weather conditions in Liechtenstein and Switzerland. Through a comparative analysis, we found that [...] Read more.
In response to escalating climate change concerns, this study evaluates the ecological impact and efficiency of medical sample transportation using drones, combustion cars, and electric cars across various terrains and weather conditions in Liechtenstein and Switzerland. Through a comparative analysis, we found that combustion cars emit the highest average CO2 at 159.5 g per kilometer (g/km), while electric cars significantly reduce emissions to an average of 3.43 g/km, representing just 2.15% of the emissions from combustion vehicles. Drones emerged as the most environmentally sustainable option, with an average CO2 emission of 0.09 g/km, which is only 0.07% of combustion car emissions and 2.6% of electric car emissions. Drones also demonstrated superior transport efficiency, covering routes that were, on average, 17% shorter in flat terrain and 24% shorter in mountainous regions compared to cars. Additionally, drones achieved substantial time savings, ranging from 13% to 80% faster delivery times depending on the terrain and traffic conditions. These findings highlight the potential of drone technology to revolutionize healthcare logistics by significantly reducing carbon footprints, optimizing transport routes, and improving delivery efficiency. Integrating drones into healthcare transportation networks offers a promising pathway toward a more sustainable and resilient healthcare system. Full article
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<p>Functional diagram of the drone transportation system: Illustrates the operational workflow of the drone system, detailing its components, including the flight planning system, navigation, and contingency features, as well as its integration into the healthcare logistics process.</p>
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<p>(<b>A</b>) CO<sub>2</sub> emission of combustion cars, electric cars and drones per km traveled on logarithmic scaling. (<b>B</b>) Displays the differences in CO<sub>2</sub> emissions produced by drones, electric vehicles, and combustion cars during medical sample transportation, highlighting the environmental benefits of each method. Ratio of CO<sub>2</sub> emission from the different transportation vehicles.</p>
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<p>Distance of transport method covered for the same route compared on nine different routes each on flat terrain (<b>B</b>) and on mountainous (<b>A</b>) terrain. Dots connected by lines represent the same route traveled.</p>
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<p>Time of transport method compared over different routes. (<b>A</b>) Minutes traveled by a car in heavy traffic, light traffic and by the drone on flat terrain and nine different routes (<b>B</b>) Minutes traveled by a car and the drone compared on nine mountainous routes. Lines connected represent the same route traveled by the different transport methods. (<b>C</b>) Time traveled in comparison for each route separately for flat terrain with heavy or light traffic respectively. (<b>D</b>) Time traveled for reach route on mountainous terrain.</p>
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16 pages, 3884 KiB  
Article
Exogenous Substances Improved Salt Tolerance in Cotton
by Zhiduo Dong, Ajing Meng, Tong Qi, Jian Huang, Huicong Yang, Aziguli Tayir and Bo Wang
Agronomy 2024, 14(9), 2098; https://doi.org/10.3390/agronomy14092098 (registering DOI) - 14 Sep 2024
Abstract
Abstract: Soil salinization is a major limiting factor for cotton growth in Southern Xinjiang. Studying technologies and mechanisms to improve cotton salt tolerance is of significant importance for the development and utilization of saline–alkaline land. In this study, ‘Xinluzhong 40’ cotton was used [...] Read more.
Abstract: Soil salinization is a major limiting factor for cotton growth in Southern Xinjiang. Studying technologies and mechanisms to improve cotton salt tolerance is of significant importance for the development and utilization of saline–alkaline land. In this study, ‘Xinluzhong 40’ cotton was used as the material, and 150 mmol·L−1 sodium chloride (NaCl) and 1.2% natural saline–alkaline soil extract were employed to simulate single-salt (SS) and mixed-salt (MS) stresses, respectively. The effects of different exogenous substances (sodium nitrophenolate, 24-epibrassinolide, and γ-aminobutyric acid) on the growth characteristics of cotton under salt stress were investigated. The results show that: (1) Under salt stress, the height and biomass of cotton (50 d old) were reduced. Both SS and MS stresses led to increased superoxide dismutase (SOD) activity, elevated proline (PRO) content (with an increase of 50.01% and no significant difference), and increased malondialdehyde (MDA) content (with increases of 63.14% and 32.42%, respectively). At the same time, catalase (CAT) activity decreased, Na⁺ and Cl⁻ contents increased, K⁺ content decreased, and the K⁺/Na⁺ ratio was reduced. (2) Application of sodium nitrophenolate (S), 24-epibrassinolide (E), and γ-aminobutyric acid (G) significantly improved SOD activity and PRO content while reducing MDA content (decreased by 29.33%, 25.48%, and 30.47% compared to SS treatment; and 1.68%, 5.21%, and 5.49% compared to MS treatment, respectively). They also increased CAT activity (increased by 75.97%, 103.24%, and 80.79% compared to SS treatment; and 91.06%, 82.43%, and 119.68% compared to MS treatment, respectively) and K⁺/Na⁺ ratio (increased by 57.59%, 66.35%, and 70.50% compared to SS treatment; and 38.31%, 42.97%, and 66.66% compared to MS treatment, respectively), reduced Cl⁻ content, and promoted increases in plant height and biomass. The effects of exogenous substances on antioxidant capacity and ion balance under salt stress were significant, particularly under SS stress. (3) Principal component analysis revealed that under SS and MS stresses, principal component 1 mainly reflects cotton’s antioxidant capacity, with SOD, CAT, and PRO having high weights; principal component 2 mainly reflects cotton’s ion balance and nutrient absorption, with root Na⁺, stem Na⁺, leaf Na⁺, root K⁺, and root Cl⁻ having high weights. These findings highlight the potential of exogenous substances to improve cotton salt tolerance and provide scientific evidence for cotton cultivation on saline–alkaline land, offering new insights into cultivation techniques from an applied research perspective. Full article
(This article belongs to the Special Issue Bioactive Compounds for Plant Health and Protection)
19 pages, 601 KiB  
Opinion
Challenges and Solutions for Sustainable ICT: The Role of File Storage
by Luigi Mersico, Hossein Abroshan, Erika Sanchez-Velazquez, Lakshmi Babu Saheer, Sarinova Simandjuntak, Sunrita Dhar-Bhattacharjee, Ronak Al-Haddad, Nagham Saeed and Anisha Saxena
Sustainability 2024, 16(18), 8043; https://doi.org/10.3390/su16188043 (registering DOI) - 14 Sep 2024
Viewed by 47
Abstract
Digitalization has been increasingly recognized for its role in addressing numerous societal and environmental challenges. However, the rapid surge in data production and the widespread adoption of cloud computing has resulted in an explosion of redundant, obsolete, and trivial (ROT) data within organizations’ [...] Read more.
Digitalization has been increasingly recognized for its role in addressing numerous societal and environmental challenges. However, the rapid surge in data production and the widespread adoption of cloud computing has resulted in an explosion of redundant, obsolete, and trivial (ROT) data within organizations’ data estates. This issue adversely affects energy consumption and carbon footprint, leading to inefficiencies and a higher environmental impact. Thus, this opinion paper aims to discuss the challenges and potential solutions related to the environmental impact of file storage on the cloud, aiming to address the research gap in “digital sustainability” and the Green IT literature. The key findings reveal that technological issues dominate cloud computing and sustainability research. Key challenges in achieving sustainable practices include the widespread lack of awareness about the environmental impacts of digital activities, the complexity of implementing accurate carbon accounting systems compliant with existing regulatory frameworks, and the role of public–private partnerships in developing novel solutions in emerging areas such as 6G technology. Full article
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<p>Amount of data created, consumed, and stored 2010–2020, with forecasts to 2025. Source: [<a href="#B29-sustainability-16-08043" class="html-bibr">29</a>]. Note: * Estimated.</p>
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14 pages, 3177 KiB  
Communication
Nano-CeO2 for the Photocatalytic Degradation of the Complexing Agent Citric Acid in Cu Chemical Mechanical Polishing
by Yihang Liu, Zongmao Lu, Jiajie Wang, Jinghui Lai, Ziyang Li, Chu Zhang and Yuhang Qi
Appl. Sci. 2024, 14(18), 8285; https://doi.org/10.3390/app14188285 (registering DOI) - 14 Sep 2024
Viewed by 82
Abstract
Cu interconnect chemical mechanical polishing (CMP) technology has been continuously evolving, leading to increasingly stringent post-CMP cleaning requirements. To address the environmental pollution caused by traditional post-CMP cleaning solutions, we have explored the use of photocatalytic processes to remove citric acid, which is [...] Read more.
Cu interconnect chemical mechanical polishing (CMP) technology has been continuously evolving, leading to increasingly stringent post-CMP cleaning requirements. To address the environmental pollution caused by traditional post-CMP cleaning solutions, we have explored the use of photocatalytic processes to remove citric acid, which is a commonly used complexing agent for CMP. In this study, CeO2 abrasives, characterized by a hardness of 5.5, are extensively employed in CMP. Importantly, CeO2 also exhibits a suitable band structure with a band gap of 2.27 eV, enabling it to photocatalytically remove citric acid, a commonly used complexing agent in Cu CMP. Additionally, the integration of H2O2, an essential oxidant in Cu CMP, enhances the photocatalytic degradation efficiency. The research indicates that the removal rate of single-phase CeO2 was 1.78 mmol/g/h and the degradation efficiency increased by 40% with the addition of H2O2, attributed to the hydroxyl radicals generated from a Fenton-like reaction between H2O2 and CeO2. These findings highlight the potential of photocatalytic processes to improve organic contaminant removal in post-CMP cleaning, offering a more sustainable alternative to conventional practices. Full article
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<p>(<b>a</b>) XRD diffraction pattern of CeO<sub>2</sub> and H-CeO<sub>2</sub> powders, (<b>b</b>) crystal model of CeO<sub>2</sub>, (<b>c</b>) SEM image of CeO<sub>2</sub>, (<b>d</b>) particle size distribution of CeO<sub>2</sub>, (<b>e</b>–<b>g</b>) TEM images of CeO<sub>2</sub>.</p>
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<p>(<b>a</b>) UV-Vis diffuse reflectance spectra of CeO<sub>2</sub> and H-CeO<sub>2</sub>, (<b>b</b>) Optical bandgap diagram of CeO<sub>2</sub> and H-CeO<sub>2</sub>.</p>
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<p>(<b>a</b>) PL spectra of CeO<sub>2</sub> and H-CeO<sub>2</sub>, (<b>b</b>) Fluorescence lifetimes of CeO<sub>2</sub> and H-CeO<sub>2</sub>.</p>
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<p>(<b>a</b>) Degradation capability of citric acid solution at different CeO<sub>2</sub> concentrations, (<b>b</b>) Photocatalytic degradation curve of citric acid, (<b>c</b>) Linear relationship between <math display="inline"><semantics> <mrow> <mi>l</mi> <mi>n</mi> <mo>(</mo> <msub> <mrow> <mi>c</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> <mo>/</mo> <mi>c</mi> <mo>)</mo> </mrow> </semantics></math> and time (<math display="inline"><semantics> <mrow> <mi>t</mi> </mrow> </semantics></math>), (<b>d</b>) Rate constant <math display="inline"><semantics> <mrow> <mi>k</mi> </mrow> </semantics></math> at different CeO<sub>2</sub> concentrations.</p>
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<p>(<b>a</b>) Degradation rate of citric acid solution under different conditions, (<b>b</b>) Photocatalytic degradation curve of citric acid.</p>
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<p>(<b>a</b>) Tafel curves at different photocatalysis times. (<b>b</b>) Nyquist plots at different photocatalysis times, along with the <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>R</mi> </mrow> <mrow> <mi>S</mi> </mrow> </msub> <mo>(</mo> <msub> <mrow> <mi>R</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <msub> <mrow> <mi>C</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>)</mo> <mo>(</mo> <msub> <mrow> <mi>R</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> <msub> <mrow> <mi>C</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> <mo>)</mo> </mrow> </semantics></math> equivalent circuit model. (<b>c</b>) Bode magnitude plots at different photocatalysis times. (<b>d</b>) Bode phase plots at different photocatalysis times.</p>
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<p>Scheme of Cleaning After CMP.</p>
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30 pages, 887 KiB  
Review
Wearable Fall Detectors Based on Low Power Transmission Systems: A Systematic Review
by Manny Villa and Eduardo Casilari
Technologies 2024, 12(9), 166; https://doi.org/10.3390/technologies12090166 - 13 Sep 2024
Viewed by 249
Abstract
Early attention to individuals who suffer falls is a critical aspect when determining the consequences of such accidents, which are among the leading causes of mortality and disability in older adults. For this reason and considering the high number of older adults living [...] Read more.
Early attention to individuals who suffer falls is a critical aspect when determining the consequences of such accidents, which are among the leading causes of mortality and disability in older adults. For this reason and considering the high number of older adults living alone, the development of automatic fall alerting systems has garnered significant research attention over the past decade. A key element for deploying a fall detection system (FDS) based on wearables is the wireless transmission method employed to transmit the medical alarms. In this regard, the vast majority of prototypes in the related literature utilize short-range technologies, such as Bluetooth, which must be complemented by the existence of a gateway device (e.g., a smartphone). In other studies, standards like Wi-Fi or 3G communications are proposed, which offer greater range but come with high power consumption, which can be unsuitable for most wearables, and higher service fees. In addition, they require reliable radio coverage, which is not always guaranteed in all application scenarios. An interesting alternative to these standards is Low Power Wide Area Network (LPWAN) technologies, which minimize both energy consumption and hardware costs while maximizing transmission range. This article provides a comprehensive search and review of that works in the literature that have implemented and evaluated wearable FDSs utilizing LPWAN interfaces to transmit alarms. The review systematically examines these proposals, considering various operational aspects and identifying key areas that have not yet been adequately addressed for the viable implementation of such detectors. Full article
15 pages, 1011 KiB  
Article
Analyzing Mobility Patterns at Scale in Pandemic Scenarios Leveraging the Mobile Network Ecosystem
by Patricia Callejo, Marco Gramaglia, Rubén Cuevas, Ángel Cuevas and Michael Carl Tschantz
Electronics 2024, 13(18), 3654; https://doi.org/10.3390/electronics13183654 - 13 Sep 2024
Viewed by 174
Abstract
The ubiquity and pervasiveness of mobile network technologies has made them so deeply ingrained in our everyday lives that by interacting with them for very simple purposes (e.g., messaging or browsing the Internet), we produce an unprecedented amount of data that can be [...] Read more.
The ubiquity and pervasiveness of mobile network technologies has made them so deeply ingrained in our everyday lives that by interacting with them for very simple purposes (e.g., messaging or browsing the Internet), we produce an unprecedented amount of data that can be analyzed to understand our behavior. While this practice has been extensively adopted by telcos and big tech companies in the last few years, this condition, which was unimaginable just 20 years ago, has only been mildly exploited to fight the COVID-19 pandemic. In this paper, we discuss the possible alternatives that we could leverage in the current mobile network ecosystem to provide regulators and epidemiologists with the right understanding of our mobility patterns, to maximize the efficiency and extent of the introduced countermeasures. To validate our analysis, we dissect a fine-grained dataset of user positions in two major European countries severely hit by the pandemic. The potential of using these data, harvested employing traditional mobile network technologies, is unveiled through two exemplary cases that tackled macro and microscopic aspects. Full article
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<p>Pictorial representation of the measurement alternatives in the mobile network ecosystem.</p>
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<p>The median (light) and 7-days moving average (dark) radius of gyration for Spain (<b>top</b>) and Italy (<b>bottom</b>).</p>
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<p>Scatter plot for the median radius of gyration time series and the median Apple mobility index.</p>
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<p>The qq plot of the average radius of gyration in Spain (<b>left</b>) and Italy (<b>right</b>) before and during the lockdown phases.</p>
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<p>The recorded popularity for the top 12 motifs in Spain.</p>
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20 pages, 5361 KiB  
Article
Economic Impacts of the Electric Road System Implementation on the Rotterdam–Antwerp Corridor
by Raimonds Aronietis and Thierry Vanelslander
Sustainability 2024, 16(18), 8029; https://doi.org/10.3390/su16188029 - 13 Sep 2024
Viewed by 244
Abstract
Electric road systems (ERSs) are a group of technologies that allow powering adequately equipped road transport vehicles with electricity from the road infrastructure while in motorway traffic. They can be categorised into three technology groups: overhead catenary, ground conductive, and ground inductive, depending [...] Read more.
Electric road systems (ERSs) are a group of technologies that allow powering adequately equipped road transport vehicles with electricity from the road infrastructure while in motorway traffic. They can be categorised into three technology groups: overhead catenary, ground conductive, and ground inductive, depending on the mode of power transfer used. The supplied energy is used for propulsion and for charging the vehicle batteries to be used once the vehicle leaves the electrified road section. Also, another energy source, e.g., diesel, natural gas, or hydrogen, can be used while away from the ERS. This research investigates the potential impacts of implementing the different ERS technologies on the Rotterdam–Antwerp motorway corridor that links the two largest ports in Europe. The aim is to identify which of the routes between the ports is best suited for the implementation of an ERS, whether there are substantial differences in the economic performance of the different ERS technologies, determine what ERS vehicle traffic volumes are required and potentially available for successful implementation, what investment is required to build the system and whether the ERS operator can be profitable, and whether transport operators could operate their trucks on ERS profitability in this corridor setting. The research shows that the route between Rotterdam and Antwerp that runs on motorway E19 is the best to be electrified from an economic standpoint. Our calculations show that the traffic on the Rotterdam–Antwerp corridor is sufficient for economically justifying ERS infrastructure rollout and operation. For transport operators who happen to have specific client bases, e.g., those who usually serve clients from one of the ports along the electrified route, the construction of an ERS on the route could prove to be very lucrative if they adopt the technology early. Full article
(This article belongs to the Section Sustainable Transportation)
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<p>Modelling approach.</p>
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<p>ERS infrastructure costs.</p>
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<p>HGV motorway traffic intensity in the Netherlands and Flanders. Intensity shown with colours, from blue—low, yellow—medium, to dark red—very high. Data source: Rijkswaterstaat [<a href="#B28-sustainability-16-08029" class="html-bibr">28</a>] and Vlaams Verkeerscentrum [<a href="#B30-sustainability-16-08029" class="html-bibr">30</a>].</p>
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<p>Rotterdam—Antwerp corridor, selected routes.</p>
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<p>Heatmap of ERS operator profitability per adoption scenario, Route 3, mEUR.</p>
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<p>Total cost performance of technologies on Route 3, in % compared to D.</p>
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<p>Impacts of technological change on road hauliers. p—price, q—quantity, mc—marginal cost curve, ac—average cost curve, 0—equilibrium before technological change, 1—equilibrium after technological change.</p>
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<p>Road freight traffic intensity in Rotterdam–Antwerp area, vehicles/day. Data source: [<a href="#B28-sustainability-16-08029" class="html-bibr">28</a>,<a href="#B30-sustainability-16-08029" class="html-bibr">30</a>].</p>
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10 pages, 3134 KiB  
Communication
All-Dielectric Metasurface-Based Terahertz Molecular Fingerprint Sensor for Trace Cinnamoylglycine Detection
by Qiyuan Xu, Mingjun Sun, Weijin Wang and Yanpeng Shi
Biosensors 2024, 14(9), 440; https://doi.org/10.3390/bios14090440 - 13 Sep 2024
Viewed by 192
Abstract
Terahertz (THZ) spectroscopy has emerged as a superior label-free sensing technology in the detection, identification, and quantification of biomolecules in various biological samples. However, the limitations in identification and discrimination sensitivity of current methods impede the wider adoption of this technology. In this [...] Read more.
Terahertz (THZ) spectroscopy has emerged as a superior label-free sensing technology in the detection, identification, and quantification of biomolecules in various biological samples. However, the limitations in identification and discrimination sensitivity of current methods impede the wider adoption of this technology. In this article, a meticulously designed metasurface is proposed for molecular fingerprint enhancement, consisting of a periodic array of lithium tantalate triangular prism tetramers arranged in a square quartz lattice. The physical mechanism is explained by the finite-difference time-domain (FDTD) method. The metasurface achieves a high quality factor (Q-factor) of 231 and demonstrates excellent THz sensing capabilities with a figure of merit (FoM) of 609. By varying the incident angle of the THz wave, the molecular fingerprint signal is strengthened, enabling the highly sensitive detection of trace amounts of analyte. Consequently, cinnamoylglycine can be detected with a sensitivity limit as low as 1.23 μg·cm2. This study offers critical insights into the advanced application of THz waves in biomedicine, particularly for the detection of urinary biomarkers in various diseases, including gestational diabetes mellitus (GDM). Full article
(This article belongs to the Special Issue Photonics for Bioapplications: Sensors and Technology)
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<p>(<b>a</b>) The structural diagram of the all-dielectric metasurface, illustrating the periodic arrangement of the high-index triangular prism tetramer based on the quartz substrate; (<b>b</b>) a unit cell of the periodic structure with a y-polarized source incident downwards in the z direction; (<b>c</b>) the main view of the unit cell (y–z plane) and corresponding parameters.</p>
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<p>(<b>a</b>) Transmission spectra for x-polarized and y-polarized incident waves at 0°; (<b>b</b>) transmission spectra for x-polarized and y-polarized incident waves at 37°; (<b>c</b>) the electric and magnetic field distribution measured at the surface of the quartz substrate at vertical incidence. The left and right figures correspond to the x-polarized and y-polarized incident wave, respectively.</p>
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<p>(<b>a</b>) Transmission spectra at different incident angles without any analyte; (<b>b</b>) the experimentally measured refractive index (n) and extinction coefficient (k) of cinnamoylglycine across the relevant frequency range; (<b>c</b>) transmission spectra at different incident angles with a <math display="inline"><semantics> <mrow> <mn>1</mn> <mo> </mo> <mi mathvariant="sans-serif">μ</mi> <mi mathvariant="normal">m</mi> </mrow> </semantics></math> thick layer of analyte; (<b>d</b>) the electric field distribution measured at the substrate surface in the x–y plane at 0.487 THz for specific incident angles, corresponding to the transmission spectra shown in (<b>c</b>), respectively.</p>
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<p>(<b>a</b>) Comprehensive transmission spectra without any analyte, with the incident angle ranging from 13° to 70°. Specifically, the rightmost line represents the transmission curve for an angle of 13°, while the leftmost line corresponds to 70°; (<b>b</b>) comprehensive transmission spectra with <math display="inline"><semantics> <mrow> <mn>1</mn> <mo> </mo> <mi mathvariant="sans-serif">μ</mi> <mi mathvariant="normal">m</mi> </mrow> </semantics></math> thick cinnamoylglycine, with the incident angle ranging from 13° to 62°. The corresponding envelope curve has been plotted by red line in the figure.</p>
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<p>(<b>a</b>) Transmission envelope curves for analytes of varying thicknesses; (<b>b</b>) the relationship between the thickness of the analyte and the transmission at <math display="inline"><semantics> <mrow> <mn>0.487</mn> <mo> </mo> <mi mathvariant="normal">T</mi> <mi mathvariant="normal">H</mi> <mi mathvariant="normal">z</mi> </mrow> </semantics></math>.</p>
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21 pages, 9535 KiB  
Article
Petrogenesis of Eocene A-Type Granite Associated with the Yingpanshan–Damanbie Regolith-Hosted Ion-Adsorption Rare Earth Element Deposit in the Tengchong Block, Southwest China
by Zhong Tang, Zewei Pan, Tianxue Ming, Rong Li, Xiaohu He, Hanjie Wen and Wenxiu Yu
Minerals 2024, 14(9), 933; https://doi.org/10.3390/min14090933 (registering DOI) - 12 Sep 2024
Viewed by 182
Abstract
The ion-adsorption-type rare earth element (iREE) deposits dominantly supply global resources of the heavy rare earth elements (HREEs), which have a critical role in a variety of advanced technological applications. The initial enrichment of REEs in the parent granites controls the formation of [...] Read more.
The ion-adsorption-type rare earth element (iREE) deposits dominantly supply global resources of the heavy rare earth elements (HREEs), which have a critical role in a variety of advanced technological applications. The initial enrichment of REEs in the parent granites controls the formation of iREE deposits. Many Mesozoic and Cenozoic granites are associated with iREE mineralization in the Tengchong block, Southwest China. However, it is unclear how vital the mineralogical and geochemical characteristics of these granites are to the formation of iREE mineralization. We conducted geochronology, geochemistry, and Hf isotope analyses of the Yingpanshan–Damanbie granitoids associated with the iREE deposit in the Tengchong block with the aims to discuss their petrogenesis and illustrate the process of the initial REE enrichment in the granites. The results showed that the Yingpanshan–Damanbie pluton consists of syenogranite and monzogranite, containing REE-bearing accessory minerals such as monazite, xenotime, apatite, zircon, allanite, and titanite, with a high REE concentration (210–626 ppm, mean value is 402 ppm). The parent granites have Zr + Nb + Ce + Y (333–747 ppm) contents and a high FeOT/MgO ratio (5.89–11.4), and are enriched in Th (mean value of 43.6 ppm), U (mean value of 4.57 ppm), Zr (mean value of 305 ppm), Hf (mean value of 7.94 ppm), Rb (mean value of 198 ppm), K (mean value of 48,902 ppm), and have depletions of Sr (mean value of 188 ppm), Ba (mean value of 699 ppm), P (mean value of 586 ppm), Ti (mean value of 2757 ppm). The granites plot in the A-type area in FeOT/MgO vs. Zr + Nb + Ce + Y and Zr vs. 10,000 Ga/Al diagrams, suggesting that they are A2-type granites. These granites are believed to have formed through the partial melting of amphibolites at a post-collisional extension setting when the Tethys Ocean closed. REE-bearing minerals (e.g., apatite, titanite, allanite, and fluorite) and rock-forming minerals (e.g., potassium feldspar, plagioclase, biotite, muscovite) supply rare earth elements in weathering regolith for the Yingpanshan–Damanbie iREE deposit. Full article
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<p>(<b>a</b>) Tectonic map of the eastern Tethys domain (modified after Wang et al. [<a href="#B47-minerals-14-00933" class="html-bibr">47</a>]); (<b>b</b>) Geological map of the Tengchong block with iREE deposits (modified after Deng et al. [<a href="#B48-minerals-14-00933" class="html-bibr">48</a>]); (<b>c</b>) U–Pb ages histogram of zircons from magmatic rocks in the Tengchong block (date from He et al. [<a href="#B15-minerals-14-00933" class="html-bibr">15</a>], Dong et al. [<a href="#B16-minerals-14-00933" class="html-bibr">16</a>], Xu et al. [<a href="#B18-minerals-14-00933" class="html-bibr">18</a>], Yang et al. [<a href="#B19-minerals-14-00933" class="html-bibr">19</a>], Li et al. [<a href="#B26-minerals-14-00933" class="html-bibr">26</a>], Zou et al. [<a href="#B30-minerals-14-00933" class="html-bibr">30</a>], Cong et al. [<a href="#B35-minerals-14-00933" class="html-bibr">35</a>], Cao et al. [<a href="#B39-minerals-14-00933" class="html-bibr">39</a>], Xie et al. [<a href="#B42-minerals-14-00933" class="html-bibr">42</a>], Chen et al. [<a href="#B44-minerals-14-00933" class="html-bibr">44</a>], Cong et al. [<a href="#B49-minerals-14-00933" class="html-bibr">49</a>], Li et al. [<a href="#B50-minerals-14-00933" class="html-bibr">50</a>], Chen et al. [<a href="#B51-minerals-14-00933" class="html-bibr">51</a>], Zhu et al. [<a href="#B52-minerals-14-00933" class="html-bibr">52</a>]).</p>
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<p>(<b>a</b>) Geological map of the Yingpanshan–Damanbie pluton with the Yingpanshan–Damanbie iREE deposit. (<b>b</b>) A profile of the regolith with iREE mineralization from the Yingpanshan–Damanbie iREE deposit.</p>
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<p>Characteristics of petrography and REE-bearing accessory minerals of syenogranite from the Yingpanshan–Damanbie iREE deposit in western Yunnan. (<b>a</b>) Photograph of a sample specimen; (<b>b</b>) photomicrograph; and (<b>c</b>) TIMA images of thin section; abbreviations: Kfs = K–feldspar, Qtz = quartz, Pl = plagioclase, Bt = biotite, Ep = Epidote.</p>
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<p>Characteristics of petrography and REE accessory minerals of monzogranite from the Yingpanshan–Damanbie iREE deposit in western Yunnan. (<b>a</b>) Photograph of a sample specimen; (<b>b</b>) photomicrograph; and (<b>c</b>) TIMA images of representative thin sections; abbreviations: Kfs = K–feldspar, Qtz = quartz, Pl = plagioclase, Bt = biotite, Ep = Epidote, Hb = hornblende.</p>
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<p>U–Pb concordia diagrams for (<b>a</b>) monzogranite (L–1–B6) and (<b>b</b>) syenogranite (L–1–B5) from the Yingpanshan–Damanbie iREE deposit and CL images of representative zircon grains.</p>
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<p>Plots of (<b>a</b>) (K<sub>2</sub>O + Na<sub>2</sub>O) versus SiO<sub>2</sub>, (<b>b</b>) A/NK versus A/CNK, (<b>c</b>) K<sub>2</sub>O versus SiO<sub>2</sub>, (<b>d</b>) K<sub>2</sub>O/Na<sub>2</sub>O versus SiO<sub>2</sub> of monzogranite and syenogranite from the Yingpanshan–Damanbie iREE deposit.</p>
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<p>Plots of chondrite-normalized REE patterns (<b>a</b>,<b>c</b>) and primitive mantle (PM)-normalized spider diagrams (<b>b</b>,<b>d</b>) for monzogranite and syenogranite from the Yingpanshan–Damanbie iREE deposit. Values for normalization are from Sun and McDonough [<a href="#B68-minerals-14-00933" class="html-bibr">68</a>], respectively. UCC = upper continental crust; LCC = lower continental crust; UCC and LCC data from Jahn et al. [<a href="#B69-minerals-14-00933" class="html-bibr">69</a>].</p>
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<p>Plots of (<b>a</b>) La/Sm versus La, (<b>b</b>) Zr/Hf versus SiO<sub>2</sub>, (<b>c</b>) FeO<sup>T</sup>/MgO versus (Zr + Y + Nb + Ce), (<b>d</b>) Zr versus 10,000 Ga/Al) [<a href="#B83-minerals-14-00933" class="html-bibr">83</a>], (<b>e</b>) Nb-Y-3Ga [<a href="#B73-minerals-14-00933" class="html-bibr">73</a>]; and (<b>f</b>) Nb-Y-Ce [<a href="#B73-minerals-14-00933" class="html-bibr">73</a>] for monzogranite and syenogranite from the Yingpanshan–Damanbie iREE deposit. A = A-type granite; A<sub>1</sub> = A<sub>1</sub>-type granite; A<sub>2</sub> = A<sub>2</sub>-type granite; I = I-type granite; S = S-type granite; FG = Fractionated felsic granite; OGT = Unfractionated M-, I- and S-type granite.</p>
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<p>Plots of (<b>a</b>) La/Sm versus La, (<b>b</b>) Zr/Hf versus SiO<sub>2</sub>, (<b>c</b>) FeO<sup>T</sup>/MgO versus (Zr + Y + Nb + Ce), (<b>d</b>) Zr versus 10,000 Ga/Al) [<a href="#B83-minerals-14-00933" class="html-bibr">83</a>], (<b>e</b>) Nb-Y-3Ga [<a href="#B73-minerals-14-00933" class="html-bibr">73</a>]; and (<b>f</b>) Nb-Y-Ce [<a href="#B73-minerals-14-00933" class="html-bibr">73</a>] for monzogranite and syenogranite from the Yingpanshan–Damanbie iREE deposit. A = A-type granite; A<sub>1</sub> = A<sub>1</sub>-type granite; A<sub>2</sub> = A<sub>2</sub>-type granite; I = I-type granite; S = S-type granite; FG = Fractionated felsic granite; OGT = Unfractionated M-, I- and S-type granite.</p>
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<p>Plots of (<b>a</b>) Al<sub>2</sub>O<sub>3</sub>/(Fe<sub>2</sub>O<sub>3</sub><sup>T</sup> + MgO + TiO<sub>2</sub>) versus (Al<sub>2</sub>O<sub>3</sub> + Fe<sub>2</sub>O<sub>3</sub><sup>T</sup> + MgO + TiO<sub>2</sub>) (after Patiňo Douce. (1999) [<a href="#B84-minerals-14-00933" class="html-bibr">84</a>]); (<b>b</b>) (Na<sub>2</sub>O + K<sub>2</sub>O) versus (FeO<sup>T</sup> + MgO + TiO<sub>2</sub>); (<b>c</b>) Mg<sup>#</sup> versus SiO<sub>2</sub>; and (<b>d</b>) ε<sub>Hf</sub>(t) versus U–Pb ages for monzogranite and syenogranite from the Yingpanshan–Damanbie iREE deposit. (<b>b</b>) Compositional fields of experimental melts are from Patiño Douce [<a href="#B84-minerals-14-00933" class="html-bibr">84</a>], Sylvester [<a href="#B85-minerals-14-00933" class="html-bibr">85</a>], Patiño Douce [<a href="#B84-minerals-14-00933" class="html-bibr">84</a>], and Altherr et al. [<a href="#B86-minerals-14-00933" class="html-bibr">86</a>], respectively; (<b>c</b>) fields shown are as follows: pure crustal partial melts obtained in experimental studies by the dehydration melting of low-K basaltic rocks at 8–16 kbar and 1000–1050 °C [<a href="#B87-minerals-14-00933" class="html-bibr">87</a>]; pure crustal melts obtained in experimental studies by the moderately hydrous (1.7–2.3 wt.% H<sub>2</sub>O) melting of medium- to high-K basaltic rocks at 7 kbar and 825–950 °C [<a href="#B88-minerals-14-00933" class="html-bibr">88</a>]; mantle melts (basalts) and Quaternary volcanic rocks from the Andean southern volcanic zone [<a href="#B89-minerals-14-00933" class="html-bibr">89</a>]; melts from meta-igneous sources under crustal pressure and temperature conditions of 0.5–1.5 GPa and 800–1000 °C, respectively, which are based on the work completed by Wolf and Wyllie [<a href="#B90-minerals-14-00933" class="html-bibr">90</a>]; (<b>d</b>) data for the Gangdese belt from Ji et al. [<a href="#B91-minerals-14-00933" class="html-bibr">91</a>]; data for the southern Lhasa block from Jiang et al. [<a href="#B92-minerals-14-00933" class="html-bibr">92</a>], Ji et al. [<a href="#B93-minerals-14-00933" class="html-bibr">93</a>], Hou et al. [<a href="#B94-minerals-14-00933" class="html-bibr">94</a>], Zheng et al. [<a href="#B95-minerals-14-00933" class="html-bibr">95</a>], Zhu et al. [<a href="#B96-minerals-14-00933" class="html-bibr">96</a>], and Huang et al. [<a href="#B97-minerals-14-00933" class="html-bibr">97</a>]; data for the central Lhasa block from Hou et al. [<a href="#B94-minerals-14-00933" class="html-bibr">94</a>], Gao et al. [<a href="#B98-minerals-14-00933" class="html-bibr">98</a>], Zheng et al. [<a href="#B99-minerals-14-00933" class="html-bibr">99</a>], and Wang et al. [<a href="#B100-minerals-14-00933" class="html-bibr">100</a>]; data for the eastern Himalayan syntaxis from Chui et al. [<a href="#B101-minerals-14-00933" class="html-bibr">101</a>], Gou et al. [<a href="#B102-minerals-14-00933" class="html-bibr">102</a>], and Pan et al. [<a href="#B103-minerals-14-00933" class="html-bibr">103</a>]; and data for the Tengchong block including the Guyong area from Xu et al. [<a href="#B18-minerals-14-00933" class="html-bibr">18</a>], Xie et al. [<a href="#B42-minerals-14-00933" class="html-bibr">42</a>], Chen et al. [<a href="#B51-minerals-14-00933" class="html-bibr">51</a>], and Qi et al. [<a href="#B104-minerals-14-00933" class="html-bibr">104</a>].</p>
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16 pages, 4160 KiB  
Article
The Use of Electric Vehicles to Support the Needs of the Electricity Grid: A Systematic Literature Review
by Antonio Comi and Ippolita Idone
Appl. Sci. 2024, 14(18), 8197; https://doi.org/10.3390/app14188197 - 12 Sep 2024
Viewed by 271
Abstract
The integration of electric vehicles (EVs) into the electricity grid through vehicle-to-grid (V2G) technology represents a promising opportunity to improve energy efficiency and stabilize grid operations in the context of building sustainable cities. This paper provides a systematic review of the literature to [...] Read more.
The integration of electric vehicles (EVs) into the electricity grid through vehicle-to-grid (V2G) technology represents a promising opportunity to improve energy efficiency and stabilize grid operations in the context of building sustainable cities. This paper provides a systematic review of the literature to assess the status of the research and identify the road ahead. Using bibliometric analysis and systematic assessment, the critical factors that influence the charging behavior of electric vehicles, the adoption of V2G, and the effective use of EVs as dynamic energy resources are identified. The focus is particularly on the ecological transitions toward sustainability, travel characteristics, technical specifications, requirements, and barriers in real use, and the behavioral and psychological aspects of stakeholders. The results lay the foundation for accurate forecasts and the strategic implementation of V2G technology to support the needs of the electric grid. They emphasize the importance of considering the psychological and behavioral aspects of users in the design of V2G strategies and define the key factors to predict the demand for electric vehicle charging. Furthermore, they highlight the main barriers to V2G adoption, which are primarily related to concerns about battery degradation and economic issues. Privacy and security concerns, due to data sharing with electric vehicle aggregators, also limit the adoption of V2G. Addressing these challenges is essential for the successful integration of electric vehicles into the grid. Full article
(This article belongs to the Special Issue Current Research and Future Development for Sustainable Cities)
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<p>Proposed literature review methodology.</p>
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<p>Reviewed paper per year.</p>
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<p>Thematic clusters identified.</p>
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<p>Landscape thematic clusters identified.</p>
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<p>Number of studies by countries.</p>
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<p>Collaboration network between countries.</p>
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11 pages, 4147 KiB  
Article
Introducing Molecular Sieve into Activated Carbon to Achieve High-Effective Adsorption for Ethylene Oxide
by Feng Liu, Lingyan Qin, Pingwei Ye, Bo Yang, Qiong Wu, Li Li, Yuwei Dai, Chuan Zhou and Sumin Li
Nanomaterials 2024, 14(18), 1482; https://doi.org/10.3390/nano14181482 - 12 Sep 2024
Viewed by 301
Abstract
Presently, ethylene oxide (EtO) is posing a significant threat to both human health and the environment due to occasional or deliberate emissions. However, few works so far have focused on this issue. It is urgent to explore novel and effective technology to protect [...] Read more.
Presently, ethylene oxide (EtO) is posing a significant threat to both human health and the environment due to occasional or deliberate emissions. However, few works so far have focused on this issue. It is urgent to explore novel and effective technology to protect against the threat of EtO. Herein, a series of AC/ZSM-5 composites were prepared to improve the adsorption performance for EtO, evaluated by dynamic breakthrough experiments. Particularly, the AC/ZSM-20% composite demonstrated a more excellent adsorption capacity of 81.9 mg/g at 25 °C and 50% RH than that of pristine AC and ZSM-5 with 32.5 and 52.3 mg/g, respectively. Moreover, the adsorption capacity of the AC/ZSM-20% composite remained constant even after five adsorption-desorption cycles. The adsorption mechanism of EtO on the composite is further revealed by density functional theory (DFT) calculations. Full article
(This article belongs to the Section Nanocomposite Materials)
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<p>Schematic diagram of the synthesis of the AC/ZSM-5 composite.</p>
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<p>SEM images of (<b>a</b>) AC-R; (<b>e</b>) ZSM-R; (<b>b</b>,<b>f</b>) AC/ZSM-10% at different magnifications; (<b>c</b>,<b>g</b>) AC/ZSM-20% at different magnifications; and (<b>d</b>,<b>h</b>) AC/ZSM-30% at different magnifications.</p>
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<p>(<b>a</b>) XRD patterns, (<b>b</b>) TGA curves, (<b>c</b>) FT-IR spectra, (<b>d</b>) N<sub>2</sub> adsorption-desorption isotherms, (<b>e</b>) DFT pore size distributions, and (<b>f</b>) BJH pore size distributions of samples.</p>
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<p>Comparison of dynamic adsorption performance of EtO at 25 °C and 50% RH (<b>a</b>) breakthrough curves and (<b>b</b>) histograms of calculated EtO adsorption capacity.</p>
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<p>Comparison of saturated adsorption capacity of EtO adsorbed by different adsorbents; data are processed according to <a href="#app1-nanomaterials-14-01482" class="html-app">Tables S1 and S2</a>.</p>
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<p>Comparison of dynamic adsorption performance of AC/ZSM-20% for EtO at different humidity levels (<b>a</b>) breakthrough curves, (<b>b</b>) EtO adsorption capacity, (<b>c</b>) calculated adsorption capacity for five cycles at 0% RH and (<b>d</b>) water vapor adsorption-desorption isotherm at 25 °C.</p>
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<p>Mathematical adsorption simulation curves for (<b>a</b>) AC/ZSM-5 composites and (<b>b</b>) AC/ZSM-20% under different humidity conditions.</p>
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<p>Comparison of DFT-calculated adsorption performance of AC, ZSM-5, and AC/ZSM-20% for EtO. (<b>a</b>) AC adsorption configuration, (<b>b</b>) ZSM-5 adsorption configuration, (<b>c</b>) AC/ZSM-20% adsorption configuration, and (<b>d</b>) comparison of adsorbent configuration and adsorption capacity.</p>
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21 pages, 2198 KiB  
Review
A Comprehensive Review of Integrated Energy Systems Considering Power-to-Gas Technology
by Shah Faisal and Ciwei Gao
Energies 2024, 17(18), 4551; https://doi.org/10.3390/en17184551 - 11 Sep 2024
Viewed by 448
Abstract
Integrated energy systems (IESs) considering power-to-gas (PtG) technology are an encouraging approach to improve the efficiency, reliability, and elasticity of the system. As the evolution towards decarbonization is increasing, the unified coordination between IESs and PtG technology is also increasing. PtG technology is [...] Read more.
Integrated energy systems (IESs) considering power-to-gas (PtG) technology are an encouraging approach to improve the efficiency, reliability, and elasticity of the system. As the evolution towards decarbonization is increasing, the unified coordination between IESs and PtG technology is also increasing. PtG technology is an option for long-term energy storage in the form of gas, but, compared to other technologies, it is economically expensive at the present time to optimize the technology. This article presents a comprehensive review of the state-of-the-art research and of the developments regarding integrated energy systems considering PtG technology. This presented review emphasizes planning and economic analysis, including system integration enhancements focusing on optimization, conversion technologies, and energy storage to improve the operation and stability and to enhance the facilities for consumers. The role of a PtG system in generation, transmission, distribution, and consumption is discussed. By emphasizing planning, integration, and the role, this paper aims to guide researchers, scientists, engineers, and policy makers towards effective research and broad strategies that sustain an IES-PtG. Full article
(This article belongs to the Section B: Energy and Environment)
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<p>Capacity of different energy storage technologies.</p>
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<p>Schematic of PtG technology.</p>
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<p>Model of PtG technology.</p>
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<p>Conversion infrastructure of PtG technology.</p>
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<p>Role of power-to-gas technology.</p>
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20 pages, 797 KiB  
Article
Development of Edible Coatings Based on Pineapple Peel (Ananas Comosus L.) and Yam Starch (Dioscorea alata) for Application in Acerola (Malpighia emarginata DC)
by Maria Brígida Fonseca Galvão, Thayza Christina Montenegro Stamford, Flávia Alexsandra Belarmino Rolim de Melo, Gerlane Souza de Lima, Carlos Eduardo Vasconcelos de Oliveira, Ingrid Luana Nicácio de Oliveira, Rita de Cássia de Araújo Bidô, Maria Manuela Estevez Pintado, Maria Elieidy Gomes de Oliveira and Tania Lucia Montenegro Stamford
Foods 2024, 13(18), 2873; https://doi.org/10.3390/foods13182873 - 11 Sep 2024
Viewed by 383
Abstract
Acerola fruit has great nutritional and economic relevance; however, its rapid degradation hinders commercialization. The use of coatings reduces post-harvest biochemical modifications and provides physical and biological protection for vegetables such as acerola. This study developed and characterized an edible coating made from [...] Read more.
Acerola fruit has great nutritional and economic relevance; however, its rapid degradation hinders commercialization. The use of coatings reduces post-harvest biochemical modifications and provides physical and biological protection for vegetables such as acerola. This study developed and characterized an edible coating made from pearl pineapple peel flour (PPPF) and yam starch (YS) to preserve the quality standards of acerola fruits during storage at room temperature and under refrigeration. The edible coating, composed of 4 g of PPPF, 3 g of starch, and 10% glycerol, presented excellent moisture content (11%), light tone (L* 83.68), and opacity (45%), resistance to traction of 27.77 Mpa, elastic modulus of 1.38 Mpa, and elongation percentage of 20%. The total phenolic content of the coating was 278.68 ± 0.45 mg GAE/g and the antioxidant activity by DPPH was 28.85 ± 0.27%. The quality parameters of acerolas were evaluated with three treatments: T1—uncoated fruits; T2—fruits coated with 1% glycerol; and T3—fruits coated with PPPF-YS. The T3 treatment reduced the weight loss of stored acerolas, maintaining the light and bright color of the fruits, and delayed the decrease in soluble solids, especially in refrigerated fruits. Therefore, edible coatings based on pineapple flour and yam starch are effective technologies for controlling the physical and physicochemical parameters of acerolas during storage, benefiting the post-harvest quality of this fruit. Full article
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<p>Effect of coatings T1—negative control (fruits without coating); T2—positive control (fruits coated with 1% glycerol) and T3—fruits coated with pearl pineapple peel flour-yam starch (PPPF-YS) on weight loss and instrumental color of acerola fruits at times 0 (<b>a</b>) and 4 (<b>b</b>) days of storage at room temperature (25 ± 0.5 °C) and at times 0 (<b>a</b>) and 8 (<b>b</b>) days of storage at refrigeration temperature (5 ± 0.5 °C).</p>
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<p>Weight loss of acerolas stored at room temperature (25 ± 0.5 °C) (<b>A</b>) and under refrigeration (5 ± 0.5 °C) (<b>B</b>) with different coatings: T1—negative control (fruits without coating); T2—positive control (fruits coated with 1% glycerol) and T3—fruits coated with pearl pineapple peel flour-yam starch (PPPF-YS). a–d Different lowercase letters within the same treatment indicate significant differences between storage times according to the Student’s <span class="html-italic">t</span>-test or Tukey’s test (<span class="html-italic">p</span> &lt; 0.05). A–B Different uppercase letters within the same storage time indicate significant differences between treatments according to Tukey’s test (<span class="html-italic">p</span> &lt; 0.05).</p>
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56 pages, 1892 KiB  
Review
Precision Metrics: A Narrative Review on Unlocking the Power of KPIs in Radiology for Enhanced Precision Medicine
by Andrea Lastrucci, Yannick Wandael, Angelo Barra, Vittorio Miele, Renzo Ricci, Lorenzo Livi, Graziano Lepri, Rosario Alfio Gulino, Giovanni Maccioni and Daniele Giansanti
J. Pers. Med. 2024, 14(9), 963; https://doi.org/10.3390/jpm14090963 - 10 Sep 2024
Viewed by 296
Abstract
(Background) Over the years, there has been increasing interest in adopting a quality approach in radiology, leading to the strategic pursuit of specific and key performance indicators (KPIs). These indicators in radiology can have significant impacts ranging from radiation protection to [...] Read more.
(Background) Over the years, there has been increasing interest in adopting a quality approach in radiology, leading to the strategic pursuit of specific and key performance indicators (KPIs). These indicators in radiology can have significant impacts ranging from radiation protection to integration into digital healthcare. (Purpose) This study aimed to conduct a narrative review on the integration of key performance indicators (KPIs) in radiology with specific key questions. (Methods) This review utilized a standardized checklist for narrative reviews, including the ANDJ Narrative Checklist, to ensure thoroughness and consistency. Searches were performed on PubMed, Scopus, and Google Scholar using a combination of keywords related to radiology and KPIs, with Boolean logic to refine results. From an initial yield of 211 studies, 127 were excluded due to a lack of focus on KPIs. The remaining 84 studies were assessed for clarity, design, and methodology, with 26 ultimately selected for detailed review. The evaluation process involved multiple assessors to minimize bias and ensure a rigorous analysis. (Results and Discussion) This overview highlights the following: KPIs are crucial for advancing radiology by supporting the evolution of imaging technologies (e.g., CT, MRI) and integrating emerging technologies like AI and AR/VR. They ensure high standards in diagnostic accuracy, image quality, and operational efficiency, enhancing diagnostic capabilities and streamlining workflows. KPIs are vital for radiological safety, measuring adherence to protocols that minimize radiation exposure and protect patients. The effective integration of KPIs into healthcare systems requires systematic development, validation, and standardization, supported by national and international initiatives. Addressing challenges like CAD-CAM technology and home-based radiology is essential. Developing specialized KPIs for new technologies will be key to continuous improvement in patient care and radiological practices. (Conclusions) In conclusion, KPIs are essential for advancing radiology, while future research should focus on improving data access and developing specialized KPIs to address emerging challenges. Future research should focus on expanding documentation sources, improving web search methods, and establishing direct connections with scientific associations. Full article
(This article belongs to the Special Issue Cutting-Edge Diagnostics: The Impact of Imaging on Precision Medicine)
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<p>Details on the process of study selection.</p>
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<p>Synoptic diagram for tabular reporting of results.</p>
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<p>Synoptic diagram for tabular reporting of discussion.</p>
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24 pages, 5237 KiB  
Article
Effect of the Bioprotective Properties of Lactic Acid Bacteria Strains on Quality and Safety of Feta Cheese Stored under Different Conditions
by Angeliki Doukaki, Olga S. Papadopoulou, Antonia Baraki, Marina Siapka, Ioannis Ntalakas, Ioannis Tzoumkas, Konstantinos Papadimitriou, Chrysoula Tassou, Panagiotis Skandamis, George-John Nychas and Nikos Chorianopoulos
Microorganisms 2024, 12(9), 1870; https://doi.org/10.3390/microorganisms12091870 - 10 Sep 2024
Viewed by 409
Abstract
Lately, the inclusion of additional lactic acid bacteria (LAB) strains to cheeses is becoming more popular since they can affect cheese’s nutritional, technological, and sensory properties, as well as increase the product’s safety. This work studied the effect of Lactiplantibacillus pentosus L33 and [...] Read more.
Lately, the inclusion of additional lactic acid bacteria (LAB) strains to cheeses is becoming more popular since they can affect cheese’s nutritional, technological, and sensory properties, as well as increase the product’s safety. This work studied the effect of Lactiplantibacillus pentosus L33 and Lactiplantibacillus plantarum L125 free cells and supernatants on feta cheese quality and Listeria monocytogenes fate. In addition, rapid and non-invasive techniques such as Fourier transform infrared (FTIR) and multispectral imaging (MSI) analysis were used to classify the cheese samples based on their sensory attributes. Slices of feta cheese were contaminated with 3 log CFU/g of L. monocytogenes, and then the cheese slices were sprayed with (i) free cells of the two strains of the lactic acid bacteria (LAB) in co-culture (F, ~5 log CFU/g), (ii) supernatant of the LAB co-culture (S) and control (C, UHT milk) or wrapped with Na-alginate edible films containing the pellet (cells, FF) or the supernatant (SF) of the LAB strains. Subsequently, samples were stored in air, in brine, or in vacuum at 4 and 10 °C. During storage, microbiological counts, pH, and water activity (aw) were monitored while sensory assessment was conducted. Also, in every sampling point, spectral data were acquired by means of FTIR and MSI techniques. Results showed that the initial microbial population of Feta was ca. 7.6 log CFU/g and consisted of LAB (>7 log CFU/g) and yeast molds in lower levels, while no Enterobacteriaceae were detected. During aerobic, brine, and vacuum storage for both temperatures, pathogen population was slightly postponed for S and F samples and reached lower levels compared to the C ones. The yeast mold population was slightly delayed in brine and vacuum packaging. For aerobic storage at 4 °C, an elongation in the shelf life of F samples by 4 days was observed compared to C and S samples. At 10 °C, the shelf life of both F and S samples was extended by 13 days compared to C samples. FTIR and MSI analyses provided reliable estimations of feta quality using the PLS-DA method, with total accuracy (%) ranging from 65.26 to 84.31 and 60.43 to 89.12, respectively. In conclusion, the application of bioprotective LAB strains can result in the extension of feta’s shelf life and provide a mild antimicrobial action against L. monocytogenes and spoilage microbiota. Furthermore, the findings of this study validate the effectiveness of FTIR and MSI techniques, in tandem with data analytics, for the rapid assessment of the quality of feta samples. Full article
(This article belongs to the Section Food Microbiology)
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Figure 1
<p>Population of the examined microorganisms and pH values in aerobic storage of non-inoculated feta cheese samples (mean values ± standard deviations) for (<b>a</b>): C samples stored at 4 °C, (<b>b</b>): F samples stored at 4 °C, (<b>c</b>): S samples stored at 4 °C, (<b>d</b>): C samples stored at 10 °C, (<b>e</b>): F samples stored at 10 °C, (<b>f</b>): S samples stored at 10 °C. (<b><span style="color:#3DF729">•</span></b>) Total viable counts, (<b><span style="color:#5B9BD5">•</span></b>) cocci/streptococci, (<b><span style="color:#ED7D31">•</span></b>) lactic acid bacteria, (<b><span style="color:#2F5496">•</span></b>) yeasts and molds are represented by a continuous line (-). pH values (<b><span style="color:#000000">•</span></b>) are indicated in the secondary axis and are represented with a dotted line (…). No statistically important differences were observed (<span class="html-italic">p</span> &gt; 0.05).</p>
Full article ">Figure 2
<p>Population of total viable counts (TVC) and <span class="html-italic">Listeria monocytogenes</span> in aerobic storage of inoculated feta cheese samples (mean values ± standard deviations) for (<b>a</b>): C samples stored at 4 °C, (<b>b</b>): F samples stored at 4 °C, (<b>c</b>): S samples stored at 4 °C, (<b>d</b>): C samples stored at 10 °C, (<b>e</b>): F samples stored at 10 °C, (<b>f</b>): S samples stored at 10 °C. (<b><span style="color:#3DF729">•</span></b>) TVC is represented by a continuous line (-), and <span class="html-italic">Listeria monocytogenes</span> (<b><span style="color:red">•</span></b>) is represented in dashed lines (---). No statistically important differences were observed (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Population of the examined microorganisms and pH values in brine storage of non-inoculated Feta cheese samples (mean values ± standard deviations) for (<b>a</b>): C samples stored at 4 °C, (<b>b</b>): F samples stored at 4 °C, (<b>c</b>): S samples stored at 4 °C, (<b>d</b>): C samples stored at 10 °C, (<b>e</b>): F samples stored at 10 °C, (<b>f</b>): S samples stored at 10 °C. (<b><span style="color:#3DF729">•</span></b>) Total viable counts, (<b><span style="color:#5B9BD5">•</span></b>) cocci/streptococci, (<b><span style="color:#ED7D31">•</span></b>) lactic acid bacteria, (<b><span style="color:#2F5496">•</span></b>) yeasts and molds are represented by a continuous line (-). pH values (<b><span style="color:#000000">•</span></b>) are indicated in the secondary axis and are represented with a dotted line (…). No statistically important differences were observed (<span class="html-italic">p</span> &gt; 0.05), except from TVC between C and both F and S samples and cocci/streptococci at 10 °C between C and S samples.</p>
Full article ">Figure 4
<p>Population of total viable counts (TVC) and <span class="html-italic">Listeria monocytogenes</span> in brine storage of inoculated feta cheese samples (mean values ± standard deviations) for (<b>a</b>): C samples stored at 4 °C, (<b>b</b>): F samples stored at 4 °C, (<b>c</b>): S samples stored at 4 °C, (<b>d</b>): C samples stored at 10 °C, (<b>e</b>): F samples stored at 10 °C, (<b>f</b>): S samples stored at 10 °C. (<b><span style="color:#3DF729">•</span></b>) TVC is represented by a continuous line (-) and <span class="html-italic">Listeria monocytogenes</span> (<b><span style="color:red">•</span></b>) is represented in dashed lines (---). Statistically important differences (<span class="html-italic">p</span> &lt; 0.05) were observed for TVC between C and both F and S samples.</p>
Full article ">Figure 5
<p>Population of the examined microorganisms and pH values in vacuum storage of non-inoculated feta cheese samples (mean values ± standard deviations) for (<b>a</b>): C samples stored at 4 °C, (<b>b</b>): F samples stored at 4 °C, (<b>c</b>): S samples stored at 4 °C, (<b>d</b>): C samples stored at 10 °C, (<b>e</b>): F samples stored at 10 °C, (<b>f</b>): S samples stored at 10 °C. (<b><span style="color:#3DF729">•</span></b>) Total viable counts, (<b><span style="color:#5B9BD5">•</span></b>) cocci/streptococci, (<b><span style="color:#ED7D31">•</span></b>) lactic acid bacteria, (<b><span style="color:#2F5496">•</span></b>) yeasts and molds are represented by a continuous line (-). pH values (<b><span style="color:#000000">•</span></b>) are indicated in the secondary axis and are represented with a dotted line (…). No statistically important differences were observed (<span class="html-italic">p</span> &gt; 0.05) except from cocci/streptococci at 10 °C.</p>
Full article ">Figure 6
<p>Population of total viable counts (TVC) and <span class="html-italic">Listeria monocytogenes</span> in vacuum storage of inoculated feta cheese samples (mean values ± standard deviations) for (<b>a</b>): C samples stored at 4 °C, (<b>b</b>): F samples stored at 4 °C, (<b>c</b>): S samples stored at 4 °C, (<b>d</b>): C samples stored at 10 °C, (<b>e</b>): F samples stored at 10 °C, (<b>f</b>): S samples stored at 10 °C. (<b><span style="color:#3DF729">•</span></b>) TVC is represented by a continuous line (-) and <span class="html-italic">Listeria monocytogenes</span> (<b><span style="color:red">•</span></b>) is represented in dashed lines (---). Statistically important differences (<span class="html-italic">p</span> &lt; 0.05) were observed for <span class="html-italic">L. monocytogenes</span> between C and S samples.</p>
Full article ">Figure 7
<p>Population of the examined microorganisms and pH values in vacuum storage of non-inoculated feta cheese samples with edible film (mean values ± standard deviations) for (<b>a</b>): C samples stored at 4 °C, (<b>b</b>): FF samples stored at 4 °C, (<b>c</b>): SF samples stored at 4 °C, (<b>d</b>): C samples stored at 10 °C, (<b>e</b>): FF samples stored at 10 °C, (<b>f</b>): SF samples stored at 10 °C. (<b><span style="color:#3DF729">•</span></b>) Total viable counts, (<b><span style="color:#5B9BD5">•</span></b>) cocci/streptococci, (<b><span style="color:#ED7D31">•</span></b>) lactic acid bacteria, (<b><span style="color:#2F5496">•</span></b>) yeasts and molds are represented by a continuous line (-). pH values (<b><span style="color:#000000">•</span></b>) are indicated in the secondary axis and are represented with a dotted line (…). No statistically important differences were observed (<span class="html-italic">p</span> &gt; 0.05) except from cocci/streptococci at 4 °C for C and FF samples.</p>
Full article ">Figure 8
<p>Population of total viable counts (TVC) and <span class="html-italic">Listeria monocytogenes</span> in vacuum storage of inoculated feta cheese samples with edible film (mean values ± standard deviations) for (<b>a</b>): C samples stored at 4 °C, (<b>b</b>): FF samples stored at 4 °C, (<b>c</b>): SF samples stored at 4 °C, (<b>d</b>): C samples stored at 10 °C, (<b>e</b>): FF samples stored at 10 °C, (<b>f</b>): SF samples stored at 10 °C. (<b><span style="color:#3DF729">•</span></b>) TVC is represented by a continuous line (-) and <span class="html-italic">Listeria monocytogenes</span> (<b><span style="color:red">•</span></b>) is represented in dashed lines (---). No statistically important differences were observed (<span class="html-italic">p</span> &gt; 0.05).</p>
Full article ">Figure 9
<p>Sensory scores of aerobic (<b>a</b>), brine (<b>b</b>), vacuum (<b>c</b>), vacuum with edible films (<b>d</b>), storage of feta cheese samples during storage at 4 and 10 °C for appearance (Ap), texture (Te), aroma (Ar), taste (Ts), and total score (T). Dashed lines represent the end of shelf life.</p>
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<p>Raw Fourier transform infrared (FTIR) spectra, in the selected wavenumber range 1800–900 cm<sup>−1</sup>, corresponding to feta cheese samples stored under aerobic conditions (<b>a</b>), brine (<b>b</b>), vacuum packaging (<b>c</b>), and with edible film under vacuum packaging (<b>d</b>). Fresh samples (Day 0) are represented in black solid line (──), spoiled samples at 4 °C in green dashed line (<span style="color:#00B050">----</span>), and spoiled samples at 10 °C in red dashed line (<span style="color:red">----</span>).</p>
Full article ">Figure 11
<p>Indicative multispectral imaging (MSI) reflectance spectra (mean ± standard deviation) from the benchtop-MSI instrument, corresponding to feta cheese samples stored in aerobic conditions (<b>a</b>), brine (<b>b</b>), vacuum (<b>c</b>), and vacuum with edible film (<b>d</b>). Fresh samples (Day 0) are represented in black solid line (──), spoiled samples at 4 °C in green dashed line (<span style="color:#00B050">----</span>), and spoiled samples at 10 °C in red dashed line (<span style="color:red">----</span>).</p>
Full article ">Figure 12
<p>Indicative multispectral imaging (MSI) reflectance spectra (mean ± standard deviation) from the portable-MSI instrument, corresponding to feta cheese samples stored in aerobic conditions (<b>a</b>), brine (<b>b</b>), vacuum (<b>c</b>), and vacuum with edible film (<b>d</b>). Fresh samples (Day 0) are represented in black solid line (──), spoiled samples at 4 °C in green dashed line (<span style="color:#00B050">----</span>), and spoiled samples at 10 °C in red dashed line (<span style="color:red">----</span>).</p>
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