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33 pages, 3543 KiB  
Review
Enhancing the Performance of Active Distribution Grids: A Review Using Metaheuristic Techniques
by Jesús Daniel Dávalos Soto, Daniel Guillen, Luis Ibarra, José Ezequiel Santibañez-Aguilar, Jesús Elias Valdez-Resendiz, Juan Avilés, Meng Yen Shih and Antonio Notholt
Energies 2025, 18(15), 4180; https://doi.org/10.3390/en18154180 (registering DOI) - 6 Aug 2025
Abstract
The electrical power system is composed of three essential sectors, generation, transmission, and distribution, with the latter being crucial for the overall efficiency of the system. Enhancing the capabilities of active distribution networks involves integrating various advanced technologies such as distributed generation units, [...] Read more.
The electrical power system is composed of three essential sectors, generation, transmission, and distribution, with the latter being crucial for the overall efficiency of the system. Enhancing the capabilities of active distribution networks involves integrating various advanced technologies such as distributed generation units, energy storage systems, banks of capacitors, and electric vehicle chargers. This paper provides an in-depth review of the primary strategies for incorporating these technologies into the distribution network to improve its reliability, stability, and efficiency. It also explores the principal metaheuristic techniques employed for the optimal allocation of distributed generation units, banks of capacitors, energy storage systems, electric vehicle chargers, and network reconfiguration. These techniques are essential for effectively integrating these technologies and optimizing the active distribution network by enhancing power quality and voltage level, reducing losses, and ensuring operational indices are maintained at optimal levels. Full article
(This article belongs to the Section K: State-of-the-Art Energy Related Technologies)
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27 pages, 5228 KiB  
Article
Detection of Surface Defects in Steel Based on Dual-Backbone Network: MBDNet-Attention-YOLO
by Xinyu Wang, Shuhui Ma, Shiting Wu, Zhaoye Li, Jinrong Cao and Peiquan Xu
Sensors 2025, 25(15), 4817; https://doi.org/10.3390/s25154817 - 5 Aug 2025
Abstract
Automated surface defect detection in steel manufacturing is pivotal for ensuring product quality, yet it remains an open challenge owing to the extreme heterogeneity of defect morphologies—ranging from hairline cracks and microscopic pores to elongated scratches and shallow dents. Existing approaches, whether classical [...] Read more.
Automated surface defect detection in steel manufacturing is pivotal for ensuring product quality, yet it remains an open challenge owing to the extreme heterogeneity of defect morphologies—ranging from hairline cracks and microscopic pores to elongated scratches and shallow dents. Existing approaches, whether classical vision pipelines or recent deep-learning paradigms, struggle to simultaneously satisfy the stringent demands of industrial scenarios: high accuracy on sub-millimeter flaws, insensitivity to texture-rich backgrounds, and real-time throughput on resource-constrained hardware. Although contemporary detectors have narrowed the gap, they still exhibit pronounced sensitivity–robustness trade-offs, particularly in the presence of scale-varying defects and cluttered surfaces. To address these limitations, we introduce MBY (MBDNet-Attention-YOLO), a lightweight yet powerful framework that synergistically couples the MBDNet backbone with the YOLO detection head. Specifically, the backbone embeds three novel components: (1) HGStem, a hierarchical stem block that enriches low-level representations while suppressing redundant activations; (2) Dynamic Align Fusion (DAF), an adaptive cross-scale fusion mechanism that dynamically re-weights feature contributions according to defect saliency; and (3) C2f-DWR, a depth-wise residual variant that progressively expands receptive fields without incurring prohibitive computational costs. Building upon this enriched feature hierarchy, the neck employs our proposed MultiSEAM module—a cascaded squeeze-and-excitation attention mechanism operating at multiple granularities—to harmonize fine-grained and semantic cues, thereby amplifying weak defect signals against complex textures. Finally, we integrate the Inner-SIoU loss, which refines the geometric alignment between predicted and ground-truth boxes by jointly optimizing center distance, aspect ratio consistency, and IoU overlap, leading to faster convergence and tighter localization. Extensive experiments on two publicly available steel-defect benchmarks—NEU-DET and PVEL-AD—demonstrate the superiority of MBY. Without bells and whistles, our model achieves 85.8% mAP@0.5 on NEU-DET and 75.9% mAP@0.5 on PVEL-AD, surpassing the best-reported results by significant margins while maintaining real-time inference on an NVIDIA Jetson Xavier. Ablation studies corroborate the complementary roles of each component, underscoring MBY’s robustness across defect scales and surface conditions. These results suggest that MBY strikes an appealing balance between accuracy, efficiency, and deployability, offering a pragmatic solution for next-generation industrial quality-control systems. Full article
(This article belongs to the Section Sensing and Imaging)
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31 pages, 5644 KiB  
Article
Mitigation Technique Using a Hybrid Energy Storage and Time-of-Use (TOU) Approach in Photovoltaic Grid Connection
by Mohammad Reza Maghami, Jagadeesh Pasupuleti, Arthur G. O. Mutambara and Janaka Ekanayake
Technologies 2025, 13(8), 339; https://doi.org/10.3390/technologies13080339 - 5 Aug 2025
Abstract
This study investigates the impact of Time-of-Use (TOU) scheduling and battery energy storage systems (BESS) on voltage stability in a typical Malaysian medium-voltage distribution network with high photovoltaic (PV) system penetration. The analyzed network comprises 110 nodes connected via eight feeders to a [...] Read more.
This study investigates the impact of Time-of-Use (TOU) scheduling and battery energy storage systems (BESS) on voltage stability in a typical Malaysian medium-voltage distribution network with high photovoltaic (PV) system penetration. The analyzed network comprises 110 nodes connected via eight feeders to a pair of 132/11 kV, 15 MVA transformers, supplying a total load of 20.006 MVA. Each node is integrated with a 100 kW PV system, enabling up to 100% PV penetration scenarios. A hybrid mitigation strategy combining TOU-based load shifting and BESS was implemented to address voltage violations occurring, particularly during low-load night hours. Dynamic simulations using DIgSILENT PowerFactory were conducted under worst-case (no load and peak load) conditions. The novelty of this research is the use of real rural network data to validate a hybrid BESS–TOU strategy, supported by detailed sensitivity analysis across PV penetration levels. This provides practical voltage stabilization insights not shown in earlier studies. Results show that at 100% PV penetration, TOU or BESS alone are insufficient to fully mitigate voltage drops. However, a hybrid application of 0.4 MWh BESS with 20% TOU load shifting eliminates voltage violations across all nodes, raising the minimum voltage from 0.924 p.u. to 0.951 p.u. while reducing active power losses and grid dependency. A sensitivity analysis further reveals that a 60% PV penetration can be supported reliably using only 0.4 MWh of BESS and 10% TOU. Beyond this, hybrid mitigation becomes essential to maintain stability. The proposed solution demonstrates a scalable approach to enable large-scale PV integration in dense rural grids and addresses the specific operational characteristics of Malaysian networks, which differ from commonly studied IEEE test systems. This work fills a critical research gap by using real local data to propose and validate practical voltage mitigation strategies. Full article
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26 pages, 2221 KiB  
Article
Effects of ε-Poly-L-Lysine/Chitosan Composite Coating on the Storage Quality, Reactive Oxygen Species Metabolism, and Membrane Lipid Metabolism of Tremella fuciformis
by Junzheng Sun, Yingying Wei, Longxiang Li, Mengjie Yang, Yusha Liu, Qiting Li, Shaoxiong Zhou, Chunmei Lai, Junchen Chen and Pufu Lai
Int. J. Mol. Sci. 2025, 26(15), 7497; https://doi.org/10.3390/ijms26157497 - 3 Aug 2025
Viewed by 111
Abstract
This study aimed to investigate the efficacy of a composite coating composed of 150 mg/L ε-Poly-L-lysine (ε-PL) and 5 g/L chitosan (CTS) in extending the shelf life and maintaining the postharvest quality of fresh Tremella fuciformis. Freshly harvested T. fuciformis were treated [...] Read more.
This study aimed to investigate the efficacy of a composite coating composed of 150 mg/L ε-Poly-L-lysine (ε-PL) and 5 g/L chitosan (CTS) in extending the shelf life and maintaining the postharvest quality of fresh Tremella fuciformis. Freshly harvested T. fuciformis were treated by surface spraying, with distilled water serving as the control. The effects of the coating on storage quality, physicochemical properties, reactive oxygen species (ROS) metabolism, and membrane lipid metabolism were evaluated during storage at (25 ± 1) °C. The results showed that the ε-PL/CTS composite coating significantly retarded quality deterioration, as evidenced by reduced weight loss, maintained whiteness and color, and higher retention of soluble sugars, soluble solids, and soluble proteins. The coating also effectively limited water migration and loss. Mechanistically, the coated T. fuciformis exhibited enhanced antioxidant capacity, characterized by increased superoxide anion (O2) resistance capacity, higher activities of antioxidant enzymes (SOD, CAT, APX), and elevated levels of non-enzymatic antioxidants (AsA, GSH). This led to a significant reduction in malondialdehyde (MDA) accumulation, alongside improved DPPH radical scavenging activity and reducing power. Furthermore, the ε-PL/CTS coating preserved cell membrane integrity by inhibiting the activities of lipid-degrading enzymes (lipase, LOX, PLD), maintaining higher levels of key phospholipids (phosphatidylinositol and phosphatidylcholine), delaying phosphatidic acid accumulation, and consequently reducing cell membrane permeability. In conclusion, the ε-PL/CTS composite coating effectively extends the shelf life and maintains the quality of postharvest T. fuciformis by modulating ROS metabolism and preserving membrane lipid homeostasis. This study provides a theoretical basis and a practical approach for the quality control of fresh T. fuciformis. Full article
(This article belongs to the Section Biochemistry)
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23 pages, 2203 KiB  
Article
Variable Submodule Voltage Control for Enhanced Efficiency in DAB-Integrated Modular Multilevel Converters
by Marzio Barresi, Davide De Simone, Edoardo Ferri and Luigi Piegari
Energies 2025, 18(15), 4096; https://doi.org/10.3390/en18154096 - 1 Aug 2025
Viewed by 150
Abstract
Modular multilevel converters (MMCs) are widely used in power-conversion applications, including distributed energy storage integration, because of their scalability, high efficiency, and reduced harmonic distortion. Integrating battery storage systems into MMC submodules using dual active bridge (DAB) converters provides electrical isolation and reduces [...] Read more.
Modular multilevel converters (MMCs) are widely used in power-conversion applications, including distributed energy storage integration, because of their scalability, high efficiency, and reduced harmonic distortion. Integrating battery storage systems into MMC submodules using dual active bridge (DAB) converters provides electrical isolation and reduces voltage stress, harmonics, and common-mode issues. However, voltage fluctuations due to the battery state of charge can compromise the zero-voltage switching (ZVS) operation of a DAB and increase the reactive power circulation, leading to higher losses and reduced system performance. To address these challenges, this study investigated an active control strategy for submodule voltage regulation in an MMC with DAB-based battery integration. Assuming single-phase-shift modulation, two control strategies were evaluated. The first strategy regulated the DAB voltage on one side to match the battery voltage on the other, scaled by the high-frequency transformer turns ratio, which facilitated the ZVS operation and reduced the reactive power. The second strategy optimized this voltage to minimize the total power-conversion losses. The proposed control strategies improved the efficiency, particularly at low power levels, achieving several percentage points of improvement compared to maintaining a constant voltage. Full article
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21 pages, 6919 KiB  
Article
Symmetric Optimization Strategy Based on Triple-Phase Shift for Dual-Active Bridge Converters with Low RMS Current and Full ZVS over Ultra-Wide Voltage and Load Ranges
by Longfei Cui, Yiming Zhang, Xuhong Wang and Dong Zhang
Electronics 2025, 14(15), 3031; https://doi.org/10.3390/electronics14153031 - 30 Jul 2025
Viewed by 256
Abstract
Dual-active bridge (DAB) converters have emerged as a preferred topology in electric vehicle charging and energy storage applications, owing to their structurally symmetric configuration and intrinsic galvanic isolation capabilities. However, conventional triple-phase shift (TPS) control strategies face significant challenges in maintaining high efficiency [...] Read more.
Dual-active bridge (DAB) converters have emerged as a preferred topology in electric vehicle charging and energy storage applications, owing to their structurally symmetric configuration and intrinsic galvanic isolation capabilities. However, conventional triple-phase shift (TPS) control strategies face significant challenges in maintaining high efficiency across ultra-wide output voltage and load ranges. To exploit the inherent structural symmetry of the DAB topology, a symmetric optimization strategy based on triple-phase shift (SOS-TPS) is proposed. The method specifically targets the forward buck operating mode, where an optimization framework is established to minimize the root mean square (RMS) current of the inductor, thereby addressing both switching and conduction losses. The formulation explicitly incorporates zero-voltage switching (ZVS) constraints and operating mode conditions. By employing the Karush–Kuhn–Tucker (KKT) conditions in conjunction with the Lagrange multiplier method (LMM), the refined control trajectories corresponding to various power levels are analytically derived, enabling efficient modulation across the entire operating range. In the medium-power region, full-switch ZVS is inherently satisfied. In the low-power operation, full-switch ZVS is achieved by introducing a modulation factor λ, and a selection principle for λ is established. For high-power operation, the strategy transitions to a conventional single-phase shift (SPS) modulation. Furthermore, by exploiting the inherent symmetry of the DAB topology, the proposed method reveals the symmetric property of modulation control. The modulation strategy for the forward boost mode can be efficiently derived through a duty cycle and voltage gain mapping, eliminating the need for re-derivation. To validate the effectiveness of the proposed SOS-TPS strategy, a 2.3 kW experimental prototype was developed. The measured results demonstrate that the method ensures ZVS for all switches under the full load range, supports ultra-wide voltage conversion capability, substantially suppresses RMS current, and achieves a maximum efficiency of 97.3%. Full article
(This article belongs to the Special Issue Advanced Control Techniques for Power Converter and Drives)
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25 pages, 3460 KiB  
Article
Morphometric, Nutritional, and Phytochemical Characterization of Eugenia (Syzygium paniculatum Gaertn): A Berry with Under-Discovered Potential
by Jeanette Carrera-Cevallos, Christian Muso, Julio C. Chacón Torres, Diego Salazar, Lander Pérez, Andrea C. Landázuri, Marco León, María López, Oscar Jara, Manuel Coronel, David Carrera and Liliana Acurio
Foods 2025, 14(15), 2633; https://doi.org/10.3390/foods14152633 - 27 Jul 2025
Viewed by 456
Abstract
Magenta Cherry or Eugenia (Syzygium paniculatum Gaertn) is an underutilized berry species with an interesting source of functional components. This study aimed to evaluate these berries’ morphometric, nutritional, and phytochemical characteristics at two ripening stages, CM: consumer maturity (CM) and OM: over-maturity. Morphometric [...] Read more.
Magenta Cherry or Eugenia (Syzygium paniculatum Gaertn) is an underutilized berry species with an interesting source of functional components. This study aimed to evaluate these berries’ morphometric, nutritional, and phytochemical characteristics at two ripening stages, CM: consumer maturity (CM) and OM: over-maturity. Morphometric analysis revealed size and weight parameters comparable to commercial berries such as blueberries. Fresh fruits were processed into pulverized material, and in this, a proximate analysis was evaluated, showing high moisture content (88.9%), dietary fiber (3.56%), and protein (0.63%), with negligible fat, indicating suitability for low-calorie diets. Phytochemical screening by HPLC identified gallic acid, chlorogenic acid, hydroxycinnamic acid, ferulic acid, quercetin, rutin, and condensed tannins. Ethanol extracts showed stronger bioactive profiles than aqueous extracts, with significant antioxidant capacity (up to 803.40 µmol Trolox/g via Ferric Reducing Antioxidant Power (FRAP assay). Fourier-transform infrared spectroscopy (FTIR) and Raman spectroscopic analyses established structural transformations of hydroxyl, carbonyl, and aromatic groups associated with ripening. These changes were supported by observed variations in anthocyanin and flavonoid contents, both higher at the CM stage. A notable pigment loss in OM fruits could be attributed to pH changes, oxidative degradation, enzymatic activity loss, and biotic stressors. Antioxidant assays (DPPH, ABTS, and FRAP) confirmed higher radical scavenging activity in CM-stage berries. Elemental analysis identified minerals such as potassium, calcium, magnesium, iron, and zinc, although in moderate concentrations. In summary, Syzygium paniculatum Gaertn fruit demonstrates considerable potential as a source of natural antioxidants and bioactive compounds. These findings advocate for greater exploration and sustainable use of this native berry species in functional food systems. Full article
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37 pages, 1099 KiB  
Review
Application Advances and Prospects of Ejector Technologies in the Field of Rail Transit Driven by Energy Conservation and Energy Transition
by Yiqiao Li, Hao Huang, Shengqiang Shen, Yali Guo, Yong Yang and Siyuan Liu
Energies 2025, 18(15), 3951; https://doi.org/10.3390/en18153951 - 24 Jul 2025
Viewed by 316
Abstract
Rail transit as a high-energy consumption field urgently requires the adoption of clean energy innovations to reduce energy consumption and accelerate the transition to new energy applications. As an energy-saving fluid machinery, the ejector exhibits significant application potential and academic value within this [...] Read more.
Rail transit as a high-energy consumption field urgently requires the adoption of clean energy innovations to reduce energy consumption and accelerate the transition to new energy applications. As an energy-saving fluid machinery, the ejector exhibits significant application potential and academic value within this field. This paper reviewed the recent advances, technical challenges, research hotspots, and future development directions of ejector applications in rail transit, aiming to address gaps in existing reviews. (1) In waste heat recovery, exhaust heat is utilized for propulsion in vehicle ejector refrigeration air conditioning systems, resulting in energy consumption being reduced by 12~17%. (2) In vehicle pneumatic pressure reduction systems, the throttle valve is replaced with an ejector, leading to an output power increase of more than 13% and providing support for zero-emission new energy vehicle applications. (3) In hydrogen supply systems, hydrogen recirculation efficiency exceeding 68.5% is achieved in fuel cells using multi-nozzle ejector technology. (4) Ejector-based active flow control enables precise ± 20 N dynamic pantograph lift adjustment at 300 km/h. However, current research still faces challenges including the tendency toward subcritical mode in fixed geometry ejectors under variable operating conditions, scarcity of application data for global warming potential refrigerants, insufficient stability of hydrogen recycling under wide power output ranges, and thermodynamic irreversibility causing turbulence loss. To address these issues, future efforts should focus on developing dynamic intelligent control technology based on machine learning, designing adjustable nozzles and other structural innovations, optimizing multi-system efficiency through hybrid architectures, and investigating global warming potential refrigerants. These strategies will facilitate the evolution of ejector technology toward greater intelligence and efficiency, thereby supporting the green transformation and energy conservation objectives of rail transit. Full article
(This article belongs to the Special Issue Advanced Research on Heat Exchangers Networks and Heat Recovery)
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15 pages, 881 KiB  
Article
Effects of Modified Atmosphere Packaging on Postharvest Physiology and Quality of ‘Meizao’ Sweet Cherry (Prunus avium L.)
by Jianchao Cui, Xiaohui Jia, Wenhui Wang, Liying Fan, Wenshi Zhao, Limin He and Haijiao Xu
Agronomy 2025, 15(8), 1774; https://doi.org/10.3390/agronomy15081774 - 24 Jul 2025
Viewed by 407
Abstract
Sweet cherry (Prunus avium L.) is becoming increasingly popular in China, but its postharvest quality deteriorates significantly during harvest storage and transport. Here, we investigated the efficiency of different modified atmosphere packaging (MAP) treatments on the quality and physiology of ‘Meizao’ sweet [...] Read more.
Sweet cherry (Prunus avium L.) is becoming increasingly popular in China, but its postharvest quality deteriorates significantly during harvest storage and transport. Here, we investigated the efficiency of different modified atmosphere packaging (MAP) treatments on the quality and physiology of ‘Meizao’ sweet cherry during 60 days of cold storage (0 ± 0.5 °C). Fruits were sealed in four types of MAP low-density polyethylene (LDPE) liners (PE20, PE30, PE40, and PE50), with unsealed 20 μm LDPE packaging bags used as the control. Our findings demonstrated that PE30 packaging established an optimal gas composition (7.0~7.7% O2 and 3.6~3.9% CO2) that effectively preserved ‘Meizao’ sweet cherry quality. It maintained the fruit color, firmness, soluble solid content (SSC), titratable acidity (TA), and vitamin C (Vc) content while simultaneously delaying deteriorative processes such as weight loss, pedicel browning, and fruit decay. These results indicate that PE30 was the most suitable treatment for preserving the quality of ‘Meizao’ sweet cherries during cold storage. Furthermore, physiological research showed that significant inhibition of respiration rate was achieved by PE30, accompanied by maintained activities of antioxidant enzymes (CAT, POD, and SOD), which consequently led to reduced accumulations of ethanol and malondialdehyde (MDA) during cold storage. To date, no systematic studies have investigated the physiological and biochemical responses of ‘Meizao’ to different thickness-dependent LDPE-MAP conditions. These observations highlight the power of the optimized PE30 packaging as an effective method for extending the fruit storage life, delaying postharvest senescence, and maintaining fruit quality of ‘Meizao’ sweet cherry. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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21 pages, 2828 KiB  
Article
A Novel Loss-Balancing Modulation Strategy for ANPC Three-Level Inverter for Variable-Speed Pump Storage Applications
by Yali Wang, Liyang Liu, Tao Liu, Yikai Li, Kai Guo and Yiming Ma
Electronics 2025, 14(15), 2944; https://doi.org/10.3390/electronics14152944 - 23 Jul 2025
Viewed by 180
Abstract
The non-uniform thermal distribution in the active neutral-point clamped (ANPC) topology causes significant thermal gradients during high-power operation, restricting its use in large-capacity power conversion systems like variable-speed pumped storage. This study introduces a novel hybrid fundamental frequency modulation strategy. Through a dynamic [...] Read more.
The non-uniform thermal distribution in the active neutral-point clamped (ANPC) topology causes significant thermal gradients during high-power operation, restricting its use in large-capacity power conversion systems like variable-speed pumped storage. This study introduces a novel hybrid fundamental frequency modulation strategy. Through a dynamic allocation mechanism based on a reference signal, this strategy alternates inner and outer power switches at the fundamental frequency, ensuring balanced switching frequency across devices. Consequently, it effectively mitigates the inherent loss imbalance in conventional ANPC topologies. Quantitative analysis using a power device loss model shows that, compared to conventional carrier phase-shift modulation, the proposed method reduces total system losses by 39.98% and improves the loss-balancing index by 18.27% over inner-switch fundamental frequency modulation. A multidimensional validation framework, including an MW-level hardware platform, numerical simulations, and test data, was established. The results confirm the proposed strategy’s effectiveness in improving power device thermal balance. Full article
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14 pages, 2349 KiB  
Article
Effects of Black Garlic Polyphenols on the Physicochemical Characteristics, Antioxidant Activity, and Sensory Evaluation of Yogurt
by Weiwei Cao, Linlin Li, Jiancheng Wang, Weihua Guo, Wei Chen, Lifeng Pan and Duo Li
Gels 2025, 11(7), 561; https://doi.org/10.3390/gels11070561 - 21 Jul 2025
Viewed by 270
Abstract
Yogurt fortified with polyphenols, as a new type of functional yogurt, exhibits high quality and good antioxidant activity. However, the effects of black garlic polyphenols (BGP) on the quality of solidified yogurt have been scarcely reported. Therefore, the effects of different levels (0.1–0.4%) [...] Read more.
Yogurt fortified with polyphenols, as a new type of functional yogurt, exhibits high quality and good antioxidant activity. However, the effects of black garlic polyphenols (BGP) on the quality of solidified yogurt have been scarcely reported. Therefore, the effects of different levels (0.1–0.4%) of BGP on the sensory scores, physicochemical properties, rheological properties, texture properties, antioxidant activity and polyphenol content of solidified yogurt were studied. The results showed that the total sensory scores of yogurt with 0.2% and 0.4% levels of BGP addition were both above 80. BGP addition significantly decreased the water-holding capacity and pH values of yogurt, compared with the yogurt without BGP addition. The yogurt with a 0.4% level of BGP had the highest titratable acidity of 89.84° T. In addition, the storage modulus (G’) and loss modulus (G”) of yogurt increased with the addition of BGP. The gel strength, chewiness and hardness of yogurt significantly decreased with an increase in BGP addition. The content of quercetin and caffeic acid in the yogurt with the addition of 0.1–0.4% BGP was 0.53–1.79 mg/g and 2.13–4.98 mg/g, respectively. The antioxidant activity and total phenolic acid content of yogurt significantly increased with an increment in BGP addition. The 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt radical scavenging activity, ferric reducing antioxidant power and 1,1-diphenyl-2-picrylhydrazyl radical scavenging activity of yogurt with a 0.4% level of BGP increased by 52.79%, 57.31% and 42.51%, respectively, compared to the yogurt without BGP addition. This study provides a theoretical basis for the development of novel yogurt with high antioxidant activity. Full article
(This article belongs to the Special Issue Functional Gels Loaded with Natural Products)
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14 pages, 731 KiB  
Article
Mesquite Pods (Prosopis velutina) as a Functional Ingredient: Characterization and Application in a Meat Product
by Karla Joanna Aispuro-Sainz, Rey David Vargas-Sánchez, Gastón Ramón Torrescano-Urrutia, Brisa del Mar Torres-Martínez and Armida Sánchez-Escalante
Processes 2025, 13(7), 2286; https://doi.org/10.3390/pr13072286 - 17 Jul 2025
Viewed by 251
Abstract
The present study aimed to characterize the total phenolic content and antioxidant activity of mesquite pods (Prosopis velutina) and evaluate the effect on meat qualities in a meat product, with a view to their application as a natural functional ingredient. Mesquite [...] Read more.
The present study aimed to characterize the total phenolic content and antioxidant activity of mesquite pods (Prosopis velutina) and evaluate the effect on meat qualities in a meat product, with a view to their application as a natural functional ingredient. Mesquite pods were subjected to chemical characterization, revealing the presence of polyphenol contents with antioxidant activity (reducing power and antiradical effect). In addition, pork patties were formulated with different levels of mesquite pods powder (MPP, 2% and 5%) and mesquite pods extract (MPE, 0.1% and 0.3%), and were compared with control (CN) samples. The proximate composition of mesquite pod powder revealed a high proportion of carbohydrates and a low fat content. Additionally, the presence of polyphenols with antioxidant activity, including antiradical and reducing power, was evident. No significant differences were observed in the pork patties’ proximate composition. During 9 days of storage at 2 °C, patties treated with MPP and MPE exhibited higher pH values and lower TBARS values compared to the CN, with MPE-0.3% being the most effective in retarding lipid oxidation. Color parameters (L*, a*, b*, C*, and h*) were positively influenced by MPP and MPE, and both treatments improved water-holding capacity and reduced cooking weight loss, especially at 5% MPP. Fracture texture analysis showed that 5% MPP enhances firmness. Sensory attributes did not differ significantly from the CN. These results indicate that MPP and MPE are promising natural ingredients for extending the shelf life and maintaining the quality of pork patties without compromising sensory acceptability. Full article
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13 pages, 2208 KiB  
Article
Electrophysiological Characterization of Sex-Dependent Hypnosis by an Endogenous Neuroactive Steroid Epipregnanolone
by Tamara Timic Stamenic, Ian Coulter, Douglas F. Covey and Slobodan M. Todorovic
Biomolecules 2025, 15(7), 1033; https://doi.org/10.3390/biom15071033 - 17 Jul 2025
Viewed by 434
Abstract
Neuroactive steroids (NAS) have long been recognized for their hypnotic and anesthetic properties in both clinical and preclinical settings. While sex differences in NAS sensitivity are acknowledged, the underlying mechanisms remain poorly understood. Here, we examined sex-specific responses to an endogenous NAS epipregnanolone [...] Read more.
Neuroactive steroids (NAS) have long been recognized for their hypnotic and anesthetic properties in both clinical and preclinical settings. While sex differences in NAS sensitivity are acknowledged, the underlying mechanisms remain poorly understood. Here, we examined sex-specific responses to an endogenous NAS epipregnanolone (EpiP) in wild-type mice using behavioral assessment of hypnosis (loss of righting reflex, LORR) and in vivo electrophysiological recordings. Specifically, local field potentials (LFPs) were recorded from the central medial thalamus (CMT) and electroencephalogram (EEG) signals were recorded from the barrel cortex. We found that EpiP-induced LORR exhibited clear sex differences, with females showing increased sensitivity. Spectral power analysis and thalamocortical (TC) and corticocortical (CC) phase synchronization further supported enhanced hypnotic susceptibility in female mice. Our findings reveal characteristic sex-dependent effects of EpiP on the synchronized electrical activity in both thalamus and cortex. These results support renewed exploration of endogenous NAS as clinically relevant anesthetic agents. Full article
(This article belongs to the Special Issue Role of Neuroactive Steroids in Health and Disease: 2nd Edition)
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22 pages, 1906 KiB  
Article
Explainable and Optuna-Optimized Machine Learning for Battery Thermal Runaway Prediction Under Class Imbalance Conditions
by Abir El Abed, Ghalia Nassreddine, Obada Al-Khatib, Mohamad Nassereddine and Ali Hellany
Thermo 2025, 5(3), 23; https://doi.org/10.3390/thermo5030023 - 15 Jul 2025
Viewed by 379
Abstract
Modern energy storage systems for both power and transportation are highly related to lithium-ion batteries (LIBs). However, their safety depends on a potentially hazardous failure mode known as thermal runaway (TR). Predicting and classifying TR causes can widely enhance the safety of power [...] Read more.
Modern energy storage systems for both power and transportation are highly related to lithium-ion batteries (LIBs). However, their safety depends on a potentially hazardous failure mode known as thermal runaway (TR). Predicting and classifying TR causes can widely enhance the safety of power and transportation systems. This paper presents an advanced machine learning method for forecasting and classifying the causes of TR. A generative model for synthetic data generation was used to handle class imbalance in the dataset. Hyperparameter optimization was conducted using Optuna for four classifiers: Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), tabular network (TabNet), and Extreme Gradient Boosting (XGBoost). A three-fold cross-validation approach was used to guarantee a robust evaluation. An open-source database of LIB failure events is used for model training and testing. The XGBoost model outperforms the other models across all TR categories by achieving 100% accuracy and a high recall (1.00). Model results were interpreted using SHapley Additive exPlanations analysis to investigate the most significant factors in TR predictors. The findings show that important TR indicators include energy adjusted for heat and weight loss, heater power, average cell temperature upon activation, and heater duration. These findings guide the design of safer battery systems and preventive monitoring systems for real applications. They can help experts develop more efficient battery management systems, thereby improving the performance and longevity of battery-operated devices. By enhancing the predictive knowledge of temperature-driven failure mechanisms in LIBs, the study directly advances thermal analysis and energy storage safety domains. Full article
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23 pages, 2596 KiB  
Article
Integrated Behavioral and Proteomic Characterization of MPP+-Induced Early Neurodegeneration and Parkinsonism in Zebrafish Larvae
by Adolfo Luis Almeida Maleski, Felipe Assumpção da Cunha e Silva, Marcela Bermudez Echeverry and Carlos Alberto-Silva
Int. J. Mol. Sci. 2025, 26(14), 6762; https://doi.org/10.3390/ijms26146762 - 15 Jul 2025
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Abstract
Zebrafish (Danio rerio) combine accessible behavioral phenotypes with conserved neurochemical pathways and molecular features of vertebrate brain function, positioning them as a powerful model for investigating early neurodegenerative processes and screening neuroprotective strategies. In this context, integrated behavioral and proteomic analyses [...] Read more.
Zebrafish (Danio rerio) combine accessible behavioral phenotypes with conserved neurochemical pathways and molecular features of vertebrate brain function, positioning them as a powerful model for investigating early neurodegenerative processes and screening neuroprotective strategies. In this context, integrated behavioral and proteomic analyses provide valuable insights into the initial pathophysiological events shared by conditions such as Parkinson’s disease and related disorders—including mitochondrial dysfunction, oxidative stress, and synaptic impairment—which emerge before overt neuronal loss and offer a crucial window to understand disease progression and evaluate therapeutic candidates prior to irreversible damage. To investigate this early window of dysfunction, zebrafish larvae were exposed to 500 μM 1-methyl-4-phenylpyridinium (MPP+) from 1 to 5 days post-fertilization and evaluated through integrated behavioral and label-free proteomic analyses. MPP+-treated larvae exhibited hypokinesia, characterized by significantly reduced total distance traveled, fewer movement bursts, prolonged immobility, and a near-complete absence of light-evoked responses—mirroring features of early Parkinsonian-like motor dysfunction. Label-free proteomic profiling revealed 40 differentially expressed proteins related to mitochondrial metabolism, redox regulation, proteasomal activity, and synaptic organization. Enrichment analysis indicated broad molecular alterations, including pathways such as mitochondrial translation and vesicle-mediated transport. A focused subset of Parkinsonism-related proteins—such as DJ-1 (PARK7), succinate dehydrogenase (SDHA), and multiple 26S proteasome subunits—exhibited coordinated dysregulation, as visualized through protein–protein interaction mapping. The upregulation of proteasome components and antioxidant proteins suggests an early-stage stress response, while the downregulation of mitochondrial enzymes and synaptic regulators reflects canonical PD-related neurodegeneration. Together, these findings provide a comprehensive functional and molecular characterization of MPP+-induced neurotoxicity in zebrafish larvae, supporting its use as a relevant in vivo system to investigate early-stage Parkinson’s disease mechanisms and shared neurodegenerative pathways, as well as for screening candidate therapeutics in a developmentally responsive context. Full article
(This article belongs to the Special Issue Zebrafish Model for Neurological Research)
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