Science and Technology of Advanced Materials最新文献

{"title":"Surface area and composition-engineered CoFe₂O₄/g-C₃N₄ hybrid electrodes for high-performance supercapacitors.","authors":"Divakara S G, Shwetha K P, Mahesh B, Vishnumurthy K A","doi":"10.1080/14686996.2026.2700203","DOIUrl":"10.1080/14686996.2026.2700203","url":null,"abstract":"<p><p>Efficient synthesis techniques coupled with enhanced specific capacitance are crucial for advancing the next generation of supercapacitor electrode materials. Here, we examine the electrochemical performance of hybrid electrodes for supercapacitor applications that involve graphitic carbon nitride (g-C₃N₄) reinforced with cobalt ferrite (CoFe₂O₄). CoFe₂O₄ nanoparticles were synthesized using an inexpensive and eco-friendly honey-mediated approach. These nanoparticles were combined with g-C₃N₄ with varying surface areas and evaluated as electrode materials for supercapacitors. The final composites were extensively characterized for morphology, structure, and electrochemical performance. According to the empirical results, a desirable CoFe₂O₄/g-C₃N₄ nanocomposite material with a proportion of 1:0.8 demonstrated a specific capacitance of 470 Fg^‒1 at a scan rate of 2 mVs^‒1 and 331 Fg^‒1 at a current density of 0.5 Ag^-1 within a potential range of 0 to 0.5 V in 2 M KOH. Heterostructures CoFe₂O₄/g-C₃N₄ (CoF/GCN₂, ratio: 1:0.8) composites showed exceptional cyclic stability (80% of its capacitance after 10,000 cycles) at higher current densities (6 Ag^-1), which was considerably greater than that of pristine g-C₃N₄, CoFe₂O₄, along with additional nanocomposite variations. It also achieved a power density of 2142.8 W kg^‒1 and an energy density of 4.75 Wh kg^‒1. It is believed that the higher electrochemical efficiency is largely attributed to the combined effect of porous g-C₃N₄ and CoFe₂O₄.</p>","PeriodicalId":21588,"journal":{"name":"Science and Technology of Advanced Materials","volume":"27 1","pages":"2700203"},"PeriodicalIF":6.6,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13508556/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148832031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Protein separation and purification using inorganic oxide materials: from surface chemistry to biochemical applications.","authors":"Shogo Kanoh, Kentaro Shiraki, Katsuya Kato, Atsushi Hirano","doi":"10.1080/14686996.2026.2701640","DOIUrl":"10.1080/14686996.2026.2701640","url":null,"abstract":"<p><p>Inorganic oxide materials are widely used for protein and peptide separation because their surfaces support multiple types of interactions, including metal-centered coordination, electrostatic interactions, and both hydrophilic and hydrophobic interactions. This review summarizes the binding mechanisms between proteins/peptides and representative inorganic oxides-ZrO₂, TiO₂, SiO₂, Fe₃O₄, Al₂O₃, ZnO, CeO₂, SnO₂, Nb₂O₅, Ta₂O₅, and Ga₂O₃. Particular emphasis is placed on the comparative analysis of adsorption mechanisms across these inorganic oxides and on factors such as crystal structure, surface acidity, and surface functionalization that influence adsorption selectivity. The review further discusses the effects of surface chemistry on purification performance and their combined effects on multi-step purification workflows. Recent advances in surface engineering and hybrid material design are highlighted to provide perspectives for the development of selective and mild protein purification processes. This framework offers guidance for the rational selection of inorganic oxide materials, enabling reproducible, selective, and mild purification of diverse proteins and peptides in biopharmaceutical applications.</p>","PeriodicalId":21588,"journal":{"name":"Science and Technology of Advanced Materials","volume":"27 1","pages":"2701640"},"PeriodicalIF":6.6,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13577285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148977894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pulsed laser deposition of ZnO/Mg <i>_x</i> Zn_1-<i>x</i> O superlattices for quantum cascade laser applications.","authors":"Tatsuya Masuda, Toshihiro Sato, Norihiko Sekine, Iwao Hosako, Gen-Ichi Hatakoshi, Hideomi Koinuma, Ryota Takahashi","doi":"10.1080/14686996.2026.2701639","DOIUrl":"10.1080/14686996.2026.2701639","url":null,"abstract":"<p><p>We developed a precise molecular layer deposition technique using pulsed laser deposition (PLD) to realize a quantum cascade laser (QCL) structure using wide-bandgap semiconductors ZnO and Mg _<i>x</i> Zn_1-<i>x</i> O. Compared to GaAs and InP, ZnO has a larger optical bandgap (3.3 eV) and higher longitudinal optical phonon energy (72 meV). This combination suppresses leakage current and promotes fast nonradiative relaxation, making ZnO a promising material for high-temperature QCL devices operating near room temperature. Nanometer-order thickness control is essential for realizing a QCL device structure. However, PLD techniques suffer from fluctuations in the deposition rate caused by viewport contamination. In this study, a quartz crystal microbalance is used to continuously measure the deposition mass during the PLD process. The combination of a cooling and shielding design with an infrared heating system is used to suppress the thermal drift and plasma damage. Consequently, precise molecular layer control is achieved in the periodic structure of the ZnO/Mg _<i>x</i> Zn_1-<i>x</i> O superlattice. The prepared ZnO QCL structure is characterized by scanning transmission electron microscopy and X-ray diffraction, which confirms that the designed superstructure is reproduced with high precision. This study establishes a PLD process to realize ZnO-based QCL and paves the way for developing new QCL platforms using wide-bandgap materials.</p>","PeriodicalId":21588,"journal":{"name":"Science and Technology of Advanced Materials","volume":"27 1","pages":"2701639"},"PeriodicalIF":6.6,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13446059/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148685577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transport and hardness properties of Cr₂TiAlC₂ MAX phase synthesized by reactive spark plasma sintering.","authors":"Florent Baudouin, Cédric Bourgès, Illia Serhiienko, Théo Duchesne, Fabien Grasset, Hiroyo Segawa, Jean-François Halet, Takao Mori","doi":"10.1080/14686996.2026.2675215","DOIUrl":"10.1080/14686996.2026.2675215","url":null,"abstract":"<p><p>Cr₂TiAlC₂ MAX phase was synthesized for the first time by reactive spark plasma sintering (SPS) from pure metallic precursors. A systematic study of each SPS parameter was performed to promote the formation of the pure phase. The transport properties of the resulting pellet were probed and compared to a conventionally synthesized sample made from pure Cr₂TiAlC₂ densified powder. The electrical conductivity was measured to be 8.31 × 10⁵ S.m^-1 at 298 K, while the thermal conductivity was measured to be 11.76 W.m^-1.K^-1 at 298 K, one of the lowest values reported for a MAX phase. The measured Vickers hardness was 7.62 ± 0.16 GPa at a load of 19.8 N, which is about 40% higher than samples synthesized by hot pressing, making it the hardest <i>312</i> MAX phase reported to date. Although Cr₂TiAlC₂ was confirmed to be a poor thermoelectric compound, exhibiting a low Seebeck coefficient of -4.2 μV.K^-1 at 298 K. These results provide a baseline for comparing structural and transport properties prior to etching into MXenes, thereby helping to better understand the influence of dimensional reduction on thermoelectric performance. Overall, these results demonstrate that reactive SPS is a rapid and efficient method for MAX phase synthesis.</p>","PeriodicalId":21588,"journal":{"name":"Science and Technology of Advanced Materials","volume":"27 1","pages":"2675215"},"PeriodicalIF":6.6,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13378725/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148580060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Targeting microglia-mediated neuroinflammation via pH-responsive lipid nanoparticle delivery of HDAC inhibitor RGFP966 in ischemic stroke.","authors":"Yaqi Liu, Biao Luo, Yun Xu, Dexiang Liu, Qiujing Wang","doi":"10.1080/14686996.2026.2699624","DOIUrl":"10.1080/14686996.2026.2699624","url":null,"abstract":"<p><p>Ischemic stroke (IS) remains a leading cause of global disability and mortality, with limited effective anti-inflammatory interventions. Targeting histone deacetylase 3 (HDAC3) to reprogram microglial polarization holds great therapeutic promise, but the HDAC3-specific inhibitor RGFP966 suffers from poor blood-brain barrier (BBB) penetration and systemic toxicity. Herein, we developed a pH-responsive brain-targeted lipid nanoparticle (CD-TLNP@RGFP966) by integrating T7 peptide modification for BBB transcytosis and cinnamaldehyde-α-cyclodextrin (CA-αCD) encapsulation for acidic lesion-triggered drug release. CD-TLNP@RGFP966 exhibited favorable colloidal stability, biosafety, and pH-dependent release behavior. It efficiently crossed the BBB, accumulated in ischemic brain tissue, promoted microglial M2 polarization, attenuated neuroinflammation, reduced infarct volume, and improved neurological function in tMCAO mice. This study provides a novel targeted nanocarrier strategy for the anti-inflammatory treatment of IS.</p>","PeriodicalId":21588,"journal":{"name":"Science and Technology of Advanced Materials","volume":"27 1","pages":"2699624"},"PeriodicalIF":6.6,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13528124/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148866388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A data-driven elucidation of the challenges in designing stable quinone derivatives for aqueous organic redox flow batteries: correlations between thermodynamics of chemical degradation and energy capacity metrics.","authors":"Ning Lu, Shiyao Ju, Daniel Willimetz, Shengming Tang, Abhishek Khetan","doi":"10.1080/14686996.2026.2698227","DOIUrl":"10.1080/14686996.2026.2698227","url":null,"abstract":"<p><p>Aqueous organic redox flow batteries (AORFBs) offer significant potential for grid-scale storage of renewable energy. However, their commercial viability is often limited by the chemical instability of the organic electrolytes. Quantifying and assessing the effects of the various degradation mechanisms from a molecular design perspective is very challenging both experimentally and computationally. Here, we propose the use of simple thermodynamic descriptors for seven degradation mechanisms for a diverse virtual library of ca. 2000 monofunctionalized quinones built from seven core structures. In the process, we developed a cheminformatics-based workflow that can reliably and automatically generate reactants and mechanism-specific degradation products. Using DFT-calculated reaction Gibbs free energies as thermodynamic descriptors and a calibrated model for redox-potential prediction, we systematically analyse seven degradation mechanisms across this library. We find clear relationships between redox potential and degradation thermodynamics for six of the seven mechanisms, with opposite trend directions for oxidized and reduced forms, revealing stability - potential trade-offs that constrain molecular design. The analysis further shows how functional groups modulate degradation thermodynamics and thereby helps rationalize the relative stability of anthraquinone-based outliers. Finally, redox active molecules from recent experimental studies are evaluated within the proposed thermodynamics-based framework, and we comment on the implications of electrochemical reversibility of some critical degradation mechanisms. Overall, this work provides a physically motivated framework for the multi-objective screening of quinone-based AORFB electrolytes and helps clarify the design criteria needed to identify favourable molecular outliers.</p>","PeriodicalId":21588,"journal":{"name":"Science and Technology of Advanced Materials","volume":"27 1","pages":"2698227"},"PeriodicalIF":6.6,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13439778/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148679941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-driven analysis and process optimization of FePt-BN granular films for HAMR applications.","authors":"Daisuke Ogawa, Tetsuya Shoji, Masao Yano, Yusuke Matsuoka, Yukiko K Takahashi","doi":"10.1080/14686996.2026.2699076","DOIUrl":"https://doi.org/10.1080/14686996.2026.2699076","url":null,"abstract":"<p><p>The ever-increasing demand for high-density, energy-efficient data storage, propelled by AI and cloud infrastructures, is driving advancements in heat-assisted magnetic recording (HAMR) media. L1₀-ordered FePt granular thin films are recognized as leading candidates owing to their exceptional thermal stability and potential for sub-10 nm grain sizes. Here, we investigate FePt-BN granular films, systematically optimizing their microstructure and magnetic properties by tuning process parameters including BN atomic fraction of FePt-BN targets, N₂ gas flow, and film thickness. Employing a hybrid workflow that integrates conventional trial-and-error experimentation with machine learning such as principle component analysis, random forest regression and Bayesian optimization, we identify key determinants governing average main- and sub-grain size (<i>D</i> ₁, <i>D</i> ₂), coercivity (<i>μ</i> ₀ <i>H</i> _c), and chemical ordering. Machine-learning analysis reveals that the degree of L1₀ order is the primary factor for <i>μ</i> ₀ <i>H</i> _c, while <i>D</i> ₁ is mainly influenced by BN content and microstructural attributes derived from transmission electron microscopy data. Active-learning-guided Bayesian optimization enabled us to rapidly achieve FePt-BN media with high <i>μ</i> ₀ <i>H</i> _c (2.4 T), sub 6 nm grain diameters, and areal grain densities exceeding 12 Tgrains/in² outperforming traditional heuristic approaches with fewer experiments. Our results underscore the power of data-driven process optimization for accelerated HAMR materials development, enabling the realization of next-generation hard disk drives with ultra-high recording densities.</p>","PeriodicalId":21588,"journal":{"name":"Science and Technology of Advanced Materials","volume":"27 1","pages":"2699076"},"PeriodicalIF":6.6,"publicationDate":"2026-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13629823/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149114607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A thin-film electrode exhibiting Nernstian pH response via a proton-coupled electron-transfer redox couple.","authors":"Jiamin Tang, Tomoki Furukawa, Pushi Wang, Takuma Ohashi, Masaki Ishii, Jun Takeya, Katsuhiko Ariga, Yu Yamashita","doi":"10.1080/14686996.2026.2694964","DOIUrl":"10.1080/14686996.2026.2694964","url":null,"abstract":"<p><p>Accurate pH monitoring in flexible thin films is essential for biochemical sensing applications. However, in conventional soft-material-based film-type pH sensors, the apparent pH response is often influenced by variations in thin-film morphology, such as swelling, microstructural disorder, and structural inhomogeneity. Here, we adopt a different strategy by confining a small-molecule proton-coupled electron-transfer (PCET) redox couple, traditionally used in homogeneous aqueous solutions, within an ion gel. A benzoquinone/hydroquinone (BQ/HQ) redox couple is incorporated into an ion-gel matrix deposited on a gold electrode and covered with a Nafion overlayer. The open-circuit potential of the Au/ion-gel interface, measured against an Ag/AgCl reference electrode, exhibits a Nernstian dependence on pH, indicating that the proton-coupled BQ/HQ redox equilibrium is preserved in the thin-film device. These results demonstrate that PCET redox couples homogeneously dissolved in ion gels provide a viable route toward compact and reliable pH-sensing films.</p>","PeriodicalId":21588,"journal":{"name":"Science and Technology of Advanced Materials","volume":"27 1","pages":"2694964"},"PeriodicalIF":6.6,"publicationDate":"2026-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13386586/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148550276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surface-structure search with variable composition and periodicity via machine learning and evolutionary algorithms: applications to Pt/Ge oxidation and Au-Sn alloying.","authors":"F Kuroda, M Otani","doi":"10.1080/14686996.2026.2688059","DOIUrl":"10.1080/14686996.2026.2688059","url":null,"abstract":"<p><p>First-principles structure prediction is essential for discovering functional materials; however, surface structure searches remain challenging because most search algorithms assume fixed in-plane periodicity and composition. Here we develop a global search framework that treats both two-dimensional superlattice periodicity and stoichiometry as dynamic variables, enabling the direct identification of the most stable surface structures across competing supercell shapes and compositions. The proposed method integrates an evolutionary algorithm with surface-specific variation operators and symmetry-enriched initialization, and accelerates screening via Bayesian optimization using atomic cluster expansion descriptors. Case studies on FCC Pt(111) and diamond Ge(100) surfaces yield oxygen-induced surface structures consistent with experimental observations, and the same framework identifies Sn alloying motifs on FCC Au(111) that agree with reported surface-structure trends. Overall, the framework delivers accurate structure prediction with substantially fewer high-cost first-principles evaluations and provides a general route to exploring complex materials landscapes - such as heterogeneous catalysis, electronics, and spintronics - in which coupled structural and compositional degrees of freedom govern functionality.</p>","PeriodicalId":21588,"journal":{"name":"Science and Technology of Advanced Materials","volume":"27 1","pages":"2688059"},"PeriodicalIF":6.6,"publicationDate":"2026-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13378729/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148580083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine-learning-guided optimization of cobalt doping in Sm(Fe,Ti,V)₁₂-based magnets.","authors":"Toni Subagja, Nikita Kulesh, Jiasheng Zhang, Andres Martin-Cid, Anton Bolyachkin, Xin Tang, Tadakatsu Ohkubo, Hossein Sepehri-Amin","doi":"10.1080/14686996.2026.2691684","DOIUrl":"10.1080/14686996.2026.2691684","url":null,"abstract":"<p><p>Partial substitution of Fe with Co in Sm(Fe,Co)₁₂-based compounds is known to enhance saturation magnetization but often causes significant coercivity degradation. To mitigate this coercivity loss, we compiled a dataset by mining published experimental data along with our in-house data and applied machine-learning techniques to search the optimal compositions. The machine learning predicts that coercivity degradation is suppressed when the Ti/V stabilizer ratio exceeds ~1.0. To validate experimentally, we prepared Sm₈Zr₂Fe_76.5-xCo_xTi₈V₅Cu_0.5(Ti-rich) and Sm₈Zr₂Fe_76.5-xCo_xTi₅V₈Cu_0.5(Ti-lean) rapidly solidified ribbons. Consistent with the machine-learning predictions, Ti-rich ribbons exhibited improved resistance to coercivity degradation compared with Ti-lean ribbons. Detailed microstructural characterization revealed that Co-doped ribbons maintained similar features, including comparable grain size and the presence of a Sm-rich intergranular phase regardless of different Ti/V ratios. However, the formation of secondary SmFe₂ phases and the increase in twinned grains after Co doping were identified as factors contributing to coercivity reduction. Moreover, evaluation of intrinsic magnetic properties showed that the anisotropy field decreased more steeply in Ti-lean alloys than in Ti-rich alloys upon Co addition, consistent with the measured tendency of coercivity values. These results demonstrate that optimizing the matrix composition, specifically maintaining Ti-rich stabilizer, is a key strategy for advancing SmFe₁₂-based permanent magnets, enabling a balance between high coercivity and magnetization for practical applications.</p>","PeriodicalId":21588,"journal":{"name":"Science and Technology of Advanced Materials","volume":"27 1","pages":"2691684"},"PeriodicalIF":6.6,"publicationDate":"2026-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13347853/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148423770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}