As environmental challenges continue to escalate, the importance of energy storage development has never been greater. The design and advancement of high-performance batteries are now essential to meet the demands of modern society. However, existing battery substrates are inadequate for the production of next-generation batteries. Metal-Organic Frameworks (MOFs) have emerged as a novel class of multifunctional materials that offer significant advantages as battery substrates, including high specific surface area, exceptional porosity, and customizable properties. This review comprehensively examines the applications of various MOF substrates in the field of battery electrodes, and delves into innovative application strategies, challenges and outlines future development prospects for MOF electrode substrates, emphasizing their transformative potential in enhancing electrode performance, paving the way for their integration into sustainable energy solutions.

Inconel 718 (IN 718) alloy owing to its high temperature strength, high ductility and good corrosion resistance, has broad application prospects in aerospace, military and energy fields. However, the low hardness and wear resistance of IN 718 alloy severely limits its application. To solve these problems, the feasible strategy is to modify the compositions/microstructures of IN 718 alloy. Laser additive manufacturing method has the capability of effectively regulating the composition and microstructure of composite materials, so as to enhance their overall mechanical performances. Herein, the intrinsic properties and compositional modification strategies of IN 718-matrix composites were first introduced, and then the advantages and limitations of laser-additive-manufactured IN 718-matrix composites were summarized. Afterward, the evolution laws of microstructural morphologies and mechanical performances of IN 718-matrix composites prepared by laser additive manufacturing methods are summarized. Finally, the key scientific problems in modifying the preparation method, regulating microstructure and optimizing mechanical performances of IN 718-matrix composites were respectively clarified, and the future developments were prospected.

In the era of heightened global environmental consciousness, the principle of sustainable development has become deeply ingrained in public awareness. However, conventional petroleum-based adhesives are plagued by issues of unsustainability, high energy consumption, and significant environmental pollution during their production and application. Consequently, the development of green, sustainable, and high-performance biomass-based adhesives has emerged as a critical research focus. Biomass-based adhesives continue to encounter significant challenges, including suboptimal water resistance, elevated production costs, and the necessity for enhanced environmental performance. Future research should focus on optimizing the modification process of biomass raw materials, reducing production costs, improving the comprehensive properties of adhesives, and promoting their large-scale industrial application. In-depth investigation into the correlation between the structure and properties of biomass is crucial for the development of environmentally friendly and cost-effective adhesives. This paper summarizes the classification, modification methods, and properties of biomass-based raw materials and provides a detailed prospect for their future development.

Methane, as a light alkane clean resource with abundant reserves, its efficient utilization has significant practical significance. Direct conversion of methane into high-value target products through gas-phase selective oxidation of methane has become an effective way to efficiently utilize methane. This reaction has the advantages of simple equipment and relatively low reaction energy consumption. However, the strong carbon-hydrogen bond of methane makes its activation process difficult, and the product formaldehyde is prone to deep oxidation under high-temperature and oxygen-containing conditions, resulting in a decrease in the selectivity of the target product. Therefore, achieving high-selectivity direct oxidation of methane to form oxygen-containing compounds is challenging. This article reviews the research progress in the gas-phase selective oxidation of methane to formaldehyde, focusing on the reaction mechanism of selective oxidation of methane to formaldehyde on catalysts, catalyst systems, and the application of various in-situ characterizations in the reaction. Finally, the future development directions of the selective oxidation of methane are summarized and prospected.

The increasing proportion of nuclear energy in China’s energy resources has brought about a series of difficulties and challenges. Nuclear power plants generate a large amount of radioactive liquid and solid waste during operation, and how to effectively treat and dispose of them has become a research focus. For radioactive liquid waste, the current main treatment processes in China are ion exchange and barrel evaporation drying. In addition, chemical precipitation, membrane technology, and other emerging technologies are also the current research directions for combined treatment. For solid waste, radioactive ions are tightly bound to solid materials, making it difficult for decontamination and regulatory release. Currently, solidification and compression are used for disposal in China, especially for mixed waste resins, which have large output and high radiation dose, as well as water absorption and elasticity, the main method in China is to use hot state overpressure technology to improve the volume reduction ratio, and then package and dispose of it geologically..

Cell heterogeneity is key to understanding life processes such as embryonic development and disease evolution, while traditional bulk cell RNA sequencing cannot resolve gene expression differences at the single-cell level. Although single-cell RNA sequencing (scRNA-seq) technology can construct transcriptomic maps at single-cell resolution, it faces challenges such as low efficiency in single-cell isolation and capture, and large deviations in trace RNA manipulation. Microfluidic chip technology, through a microscale fluid manipulation system, integrates processes such as single-cell isolation, lysis, reverse transcription, amplification, and sequencing library construction, achieving high-throughput, low sample loss, and automated operations, which significantly improves the efficiency and data reliability of scRNA-seq. This paper outlines the sequencing process of scRNA-seq, including steps such as single-cell isolation and capture, RNA extraction, reverse transcription and amplification, and single-cell sequencing. It analyzes the core advantages of microfluidic chips in adapting to single cells, precisely controlling reaction volumes, and realizing process automation, and briefly describes the technical principles and characteristics of representative platforms such as Fluidigm C1, 10X Genomics Chromium, and BD Rhapsody. Microfluidic chip technology provides an efficient and precise technical platform for scRNA-seq. In the future, with the continuous optimization of chip design and the improvement of multi-omics integrated analysis capabilities, we expect it to play a more profound role in resolving complex biological systems, revealing disease mechanisms, and even promoting precision medicine.

With the increasing global emphasis on carbon dioxide emissions reduction, electrocatalytic carbon dioxide reduction (ECO₂R) to methanol has garnered significant attention within the context of carbon neutrality. However, existing ECO₂R catalysts still suffer from limitations in activity, selectivity, and stability, thereby constraining their practical applications. This underscores the urgent need for the development of highly efficient catalysts, which remains a central research focus in this field. Traditional catalyst design predominantly relies on trial-and-error approaches, which are inherently inefficient. Therefore, novel strategies are required to accelerate catalyst discovery and optimization. With the rapid advancement of artificial intelligence, machine learning has emerged as a powerful tool to drive catalyst development. This review systematically summarizes the reaction mechanisms underlying ECO₂R to methanol and highlights recent advancements in catalyst research, encompassing Cu-based, non-Cu-based, and phthalocyanine-based catalysts. Furthermore, the fundamental framework of machine learning applications in this domain is introduced, covering key stages from data acquisition to model validation. Particular emphasis is placed on machine learning-driven predictions of catalytic activity, catalyst design, and performance optimization. Although machine learning has made remarkable progress in ECO₂R research, there are still several challenges, including data scarcity, insufficient model interpretability, and the lack of a universal prediction framework. Future research should focus on the establishment of high-quality catalyst databases, enhancement of model interpretability, and improvement of generalization capabilities. This review aims to provide a comprehensive perspective on ECO₂R catalyst design while emphasizing the pivotal role of machine learning in facilitating breakthroughs in this field.

The extensive use of chemical fertilizers and other industrial and agricultural chemicals has led to the discharge of excessive nitrate wastewater into nature, posing a serious threat to the environment and human health. Photocatalytic nitrate reduction technology is considered to be a promising, harmless treatment method for nitrate due to its high efficiency, low energy consumption and wide applicability. In this paper, the mechanism and main products of nitrate reduction in photocatalytic water are described in detail. The commonly used photocatalyst types are systematically reviewed, and the influencing factors in the photocatalytic process are introduced. In addition, the main challenges faced by photocatalytic nitrate reduction technology are comprehensively analyzed, and its future development prospects are discussed and prospected.

Mirror-image peptides and proteins composed entirely of D-amino acids have emerged as promising therapeutic candidates owing to their resistance to proteolysis and reduced immunogenicity. Mirror-image phage display (MIPD) is currently the main experimental technique for identifying mirror-image peptide ligands targeting disease-related proteins. However, the success of MIPD critically depends on synthetic mirror-image target proteins, which cannot be produced by traditional recombinant methods due to the intrinsic chirality of biological systems. Recent advances in chemical protein synthesis, such as enzyme-cleavable solubilizing tags, backbone-installed split intein-assisted ligation, and removable glycosylation modification-assisted folding strategies, have effectively addressed key challenges in preparing these complex mirror-image proteins. In addition, computational approaches, exemplified by AI-driven protein design, have become powerful complementary tools, accelerating the discovery and optimization of mirror-image protein drug candidates. Although mirror-image protein drugs have not yet reached clinical use, ongoing innovations in chemical synthesis and ligand screening methods are steadily advancing their therapeutic potential toward clinical translation.

For halogenated organic compounds, antibiotics, and other emerging contaminants that are persistent and highly toxic, micro-electrolysis fillers can effectively disrupt the chemical structures of these contaminant molecules and achieve the effect of deep mineralization through direct electron reduction and electrochemical oxidation. However, although the traditional micro-electrolysis process has achieved certain results, there are still many thorny problems. For example, the stability of the fillers is poor, their service life is short, and they are prone to caking and passivation, which leads to clogging of the reactor, requiring frequent replacement of the fillers. To overcome these problems, granulation is usually employed to increase the interfacial bonding strength between iron powder and activated carbon powder. However, previous studies have often focused on the influence of the composition or preparation methods of the fillers on their performance, while the role of the binders has been subtle and difficult to detect. Through in-depth investigations, it has been found that binders play a key role as the 'unsung heroes' in enhancing the performance of micro-electrolysis fillers and that their functional groups and chemical structures have a profound effect on the performance of the fillers. They can not only strengthen the mechanical strength of fillers, improve their stability and anti-passivation ability, promote the mass transfer process, prevent filler caking, and prolong the service life of fillers, but also increase the utilization rate of electrons and catalyze the occurrence of reactions, thereby further enhancing the degradation activity of emerging pollutants. Given this, this paper systematically summarizes the interfacial bonding mechanisms of commonly used binders in different granulation methods, analyses the deep action mechanisms of binders in enhancing the performance of micro-electrolysis fillers, discusses the influence laws of binder types and contents on the fillers, and looks forward to the development of new fillers, and looks forward to the development of new high-performance binder materials, the optimizing of the process parameters of binders in the filler preparation process, and the in-depth exploration of the action mechanisms between binders and active components of fillers, with the expectation of promoting the development of micro-electrolysis fillers in the field of environmental management.

Contents：

1 Introduction

2 Interfacial bonding mechanism during granula-tion of commonly used binders

2.1 Inorganic binder

2.2 Organic binder

2.3 Composite binder

2.4 Comparison of the performance of binders

3 The main methods of binder granulation

3.1 Sintering

3.2 Carbothermal reduction

3.3 Gelation

3.4 Liquid phase reduction

3.5 Burden

3.6 Comparison of granulation methods

4 Extended life cycle

4.1 Optimization of filler mechanical strength

4.2 Improved filler stability

5 Enhanced electronic utilization

5.1 Broadening the path of e-transfer

5.2 Modulation of electron transfer

6 Improvement of reaction efficiency

6.1 Catalytic activation

6.2 Promotion of micro-electrolysis

6.3 Adsorption and flocculation

7 Factors affecting binder granulation

7.1 Types of binders

7.2 Content of binders

8 Conclusion and outlook

Sweet-tasting proteins, characterized by their low calorie and high sweetness attributes, demonstrate significant potential in the food industry. They not only satisfy the demand of consumers for healthy and safe sweeteners but also have the potential to replace traditional high-calorie sweeteners, thus driving innovation in the food industry. However, their commercialization process still faces challenges such as restrictions on the origin of raw materials, low yield, high extraction costs, and poor stability. In this review, the basic characteristics of sweet-tasting proteins were examined, their taste mechanisms and the relationship between their structure and sweet taste activity were investigated. Precise design and modification of sweet-tasting proteins and host through synthetic biology and artificial intelligence methods to enhance their sweetness, stability and yield were proposed. Additionally, optimizing host, expression and secretion strategies, as well as precise control of the fermentation process, can further improve the yield and activity of sweet-tasting proteins. These approaches provide a theoretical basis and technical references for addressing the existing problems in the commercial application of sweet-tasting proteins and have positive implications for promoting their widespread use in the food industry.

Contents

1 Introduction

2 Taste mechanism and structure-function relationship

2.1 Recognition and signal transduction of sweet taste receptors

2.2 Structure-function relationship analysis

3 Customized optimization and production strategies

3.1 Protein precision design and modification

3.2 Optimization of strategies for host cell selection

3.3 Optimization of expression and secretion strategies

3.4 Precise control and optimization of the fermentation process

4 Conclusion and outlook

Chemical looping (CL) technology has been widely used in fields such as in-situ capture of carbon dioxide, hydrogen production, oxidative dehydrogenation and partial oxidation of methane. The development of oxygen carriers is the key link to the advancement of CL. Exploring the mechanism of oxygen storage and release in the oxygen carrier lattice is important for the design of high-performance oxygen carriers, the explanation of CL reaction mechanism, and the regulation of product selectivity and yield. First, this paper systematically reviews the research methods and progress of oxygen storage and release mechanism of oxygen carriers, presenting the important role of key characterization techniques in exploring the lattice oxygen migration mechanism. At the same time, we summarize the reaction mechanism of different types of oxygen carriers and the spatiotemporal evolution characteristics of active components, providing theoretical support for the design and modification of oxygen carriers. Furthermore, this paper also focuses on the difficulties and controversies in the study of oxygen storage and release mechanism of CL oxygen carriers. Finally, some perspectives on the current studies of mechanism for oxygen carriers were presented.

Contents

1 Introduction

2 The research method to study the mechanism of oxygen storage and release by oxygen carriers

2.1 Advanced characterization Techniques

2.2 Experimental design method

2.3 Primary calculation method

3 Study on lattice oxygen migration mechanism during oxygen storage and release

3.1 Lattice oxygen migration mechanism of spinel oxygen carriers

3.2 Lattice oxygen migration mechanism of perovskite-type oxygen carriers

3.3 Lattice oxygen migration mechanism of other metal based oxygen carriers

4 Study on metal ions migration mechanism during oxygen storage and release

5 Research limitations in oxygen storage and release processes

5.1 Limitations of the research method

5.2 Limitations of the research mechanism

6 Conclusions and outlook

Iron cobalt phosphide is considered to be an important candidate material for anodic water dissociation due to its low cost and high catalytic activity, but it still suffers from poor intrinsic conductivity and limited active sites. Starting from the anodic hydro-electric oxidation process represented by oxygen evolution reaction, we systematically reviewed the research progress of adjusting electronic structure, optimizing adsorption energy of water oxidation intermediates, and improving stability for iron cobalt phosphide based materials through strategies such as intrinsic activity regulation, doping engineering, defect design, and heterogeneous structure construction. Finally, the development of iron cobalt phosphide based anode materials is prospected.

Contents

1 Introduction

2 Water oxidation process

3 Strategies for improving the water dissociation performance of FeCoP based anode materials

3.1 Intrinsic activity regulation

3.2 Doping engineering

3.3 Defects design

3.4 Heterojunction engineering

Chemodynamic therapy (CDT) refers to a method that utilizes metal ion-mediated Fenton/Fenton-like reactions to catalyze the generation of highly cytotoxic hydroxyl radicals from hydrogen peroxide, effectively killing tumor cells. It offers advantages such as tumor specificity, minimal side effects, and a treatment process initiated solely by internal tumor substances like H₂O₂ and glutathione without the need for external stimuli. However, the high concentration of glutathione in the tumor microenvironment, insufficient endogenous hydrogen peroxide, and hypoxia hinder the therapeutic effect of CDT. To enhance its effectiveness, researchers have explored various metal ion-mediated Fenton/Fenton-like reactions, leading to the proposed combination of CDT with multiple other therapies. This article reviews the reaction mechanisms of CDT and its collaborative applications with various therapies in anti-tumor treatment. It begins by discussing the catalytic reaction mechanisms of CDT mediated by different metal ions, delving into the advantages and disadvantages of various ions in catalyzing Fenton or Fenton-like reactions. Subsequently, it details the latest research progress on the combination of CDT with other therapies, such as photothermal therapy, chemotherapy, and photodynamic therapy, in anti-tumor treatments. Finally, the article proposes future research directions for the development of chemodynamic therapy and highlights key issues that need to be considered to further promote its clinical research applications.

Contents

1 Introduction

2 Mechanism for Fenton reaction mediated by various metal ions

2.1 Iron-mediated mechanism for Fenton reaction

2.2 Copper-mediated mechanism for Fenton-like reaction

2.3 Other metal ion-mediated mechanisms for Fenton-like reactions

3 CDT-based combination therapies and their anti-tumor applications

3.1 Combination therapy of PTT and CDT

3.2 Combination therapy of chemotherapy and CDT

3.3 Combination therapy of PDT and CDT

3.4 Combination therapy of other therapies and CDT

4 Conclusion and perspective

Bone defects caused by accidents or diseases are a common and serious problem in orthopedic surgery. Finding ideal bone repair materials has become a hotspot in current bone tissue engineering. Polyurethane (PU) is a multiblock copolymer with a microphase-separated structure formed by alternating soft and hard segments. Its application properties - such as mechanical performance, biocompatibility, and biodegradability - can be tailored by adjusting the soft segment structure, hard segment ratio, crystallinity, and other factors, demonstrating broad prospects in the field of bone defect repair. This paper reviews recent research on the design, synthesis, modification, and biological performance of PU in bone tissue engineering, with a focus on its application progress in bone regeneration, including implantable scaffolds, injectable materials, and drug carriers. The aim is to provide more insights for the future design and clinical application of PU materials.

Contents

1 Introduction

2 Development of polyurethane

3 Synthesis of polyurethane

3.1 Main raw material

3.2 Main reaction pathways

4 Structure of polyurethane

5 Properties of polyurethane

5.1 Mechanical properties

5.2 Biological activity

5.3 Biodegradation

5.4 Shape memory properties

6 Applications of polyurethane in bone defects repairing

6.1 Implanted scaffold

6.2 Injected polyurethane

6.3 Drug carrier

7 Conclusion and outlook

Metal-organic frameworks (MOFs) exhibit great promise in diverse applications such as gas storage, catalysis, and sensing due to their distinctive structures and physicochemical properties. However, traditional experimental approaches face challenges in quickly and efficiently designing MOFs with the desired characteristics. In recent years, artificial intelligence (AI) techniques, particularly traditional machine learning and deep learning, have been extensively applied in materials science, yielding numerous noteworthy results. An essential requirement for successful modeling with these techniques is the ability to extract the structural features of MOFs and transform them into computer-readable formats. Therefore, we present a comprehensive review of two feature extraction approaches based on molecular descriptors and end-to-end deep learning. We summarize the fundamental concepts and principles of both methods, emphasizing their specific applications and recent advancements in MOFs design. Finally, we discuss the challenges and future directions for improving the comprehensiveness, interpretability, and reproducibility of structural feature extraction. This review aims to provide valuable insights and theoretical guidance for AI-driven MOFs design.

Contents

1 Introduction

2 Traditional machine learning and end-to-end deep learning

2.1 Basic concepts and historical development of artificial intelligence

2.2 Key steps in traditional machine learning and end-to-end deep Learning

2.3 Differences between traditional machine learning and end-to-end deep Learning

2.4 Overview of the MOF databases

3 Feature extraction based on molecular descriptors

3.1 Structural descriptors

3.2 Chemical characteristics

3.3 Thermodynamic properties

3.4 Feature selection and dimensionality reduction techniques

3.5 Effective strategies for handling missing features and noisy data

4 Application of end-to-end deep learning model to MOFs design

4.1 Convolutional neural networks

4.2 Recurrent neural networks

4.3 Graph neural networks

4.4 Generative adversarial networks

5 Challenges and prospects

PET-RAFT polymerization (Photoinduced Electron Transfer-Reversible Addition-Fragmentation Chain Transfer Polymerization) has been widely concerned and applied in the field of polymerization due to its characteristics such as low energy consumption, mild reaction conditions, time-space control, reaction orthogonality and oxygen resistance. In terms of surface modification, PET-RAFT polymerization is used to improve the surface characteristics of materials, such as biocompatibility and anti-adhesion. In the biomedical field, PET-RAFT polymerization technology is used to prepare drug delivery systems such as spherical micelles and vesicles. In addition, the application of PET-RAFT polymerization in 3D printing and laser writing demonstrates its great potential for precise control of material structure and functionalization. The key to PET-RAFT polymerization is to find suitable photocatalysts. Currently, the types of catalysts include homogeneous catalyst systems, such as transition metal complexes, porphyrin and phthalocyanine catalysts, organic dyes, and semiconductor materials, as well as heterogeneous catalyst systems, such as macro material supported, nano material supported, metal organic framework, co valent organic framework, conjugated microporous polymers, etc. Among them, heterogeneous catalysts can be effectively recovered and utilized by centrifugation and filtration separation of photocatalysts.The heterogeneous catalyst can be effectively recycled by centrifugation and filtration separation. In the future, researchers will develop new low cost, high efficiency, easy recovery, non-toxic photocatalysts to improve the use of low energy photons and improve the compatibility of photopolymerization with the environment.

Hydrogen energy is regarded as an ideal energy carrier for the future. Traditional hydrogen production through fossil fuel reforming fails to fundamentally address carbon emission issues. Direct seawater electrolysis has emerged as a promising hydrogen production technology with significant prospects. Compared to conventional pure-water electrolysis systems, natural seawater exhibits a more complex chemical composition and induces additional side reactions during electrolysis, thereby imposing higher requirements on electrode materials and electrolyzer structural design. The chlorine evolution reaction (CER) at the anode and calcium/magnesium ion precipitation at the cathode constitutes two critical challenges in direct seawater electrolysis. While substantial research has been reported in recent years regarding the mechanisms and suppression strategies of CER, comparatively fewer studies have systematically addressed the fundamental mechanisms and inhibition approaches for cathodic calcium/magnesium deposition. Practical hydrogen production processes require particular attention to electrode performance degradation caused by such inorganic precipitates, including increased mass transfer resistance and reduced electrolysis efficiency. This review initiates from the formation mechanisms of calcium/magnesium precipitation on cathode surfaces, elaborates on the fundamental principles and technical challenges of direct seawater electrolysis, and critically summarizes recent advances in suppression strategies against cathodic inorganic deposition. Furthermore, perspectives on future research directions for seawater electrolysis technology are provided, emphasizing the need for comprehensive investigations into electrode-electrolyte interfaces and scalable system optimization.

Air pollution is a major challenge for the improvement of urban environmental quality. The process of urbanization is an important cause of highly complex air pollution, on the other hand it also provides artificial reinforcement conditions for self-purification of air pollutants in cities. "Environmental catalytic city" refers to the spontaneous catalytic purification of low concentration gaseous pollutants in the atmosphere by catalytic materials coating on the artificial surfaces, such as building surfaces in the city under natural photothermal conditions. "Environmental catalytic city" is of great significance for the control of complex air pollution without additional energy consumption, the continuous improvement of indoor and outdoor air quality, and the scheme and construction of " self-purifying city". Here, we propose the concept of “environmental catalytic city”, and discuss its further improvement, development, and application.

Lignocellulose aerogels possess excellent properties of low density, high porosity, low thermal conductivity and so on, making them widely utilized in thermal insulation, adsorption, catalysis, electromagnetic shielding, biomedical and other fields. Moreover, as a bio-based material, lignocellulose is a green, pollution-free, renewable, and sustainable material. In this paper, the latest research progress of wood-based cellulose and agricultural waste-based cellulose aerogels are reviewed. Then the current research status of lignocellulose aerogel preparation methods including freeze-drying, supercritical drying, and atmospheric drying, is summarized. In addition, for the flammability issues commonly found in lignocellulose aerogels, commonly used methods to improve the flame retardancy of lignocellulose aerogels are discussed in detail. Finally, this paper concludes the main problems in lignocellulose aerogel preparation methods and properties, and the future development direction in this field is proposed.

Water is a clean, safe, environmentally benign chemical reaction medium. Understanding the properties of water and the chemical processes in hydrothermal systems is of vital significance in the research of condensed matter chemistry. The physicochemical features of water under hydrothermal conditions greatly differ from that under normal condition, and thus the hydrothermal technique has been extended to much broader systems. In this review article, we introduce the structures of water and its clusters, the variation of their properties along with conditions, and relevant condensed matters in hydrothermal systems. We also illustrate the hydrothermal chemistry through discussing the preparation of typical materials through hydrothermal methods, hydrothermal organic reactions, and bio-hydrothermal chemistry. By relating condensed matter and hydrothermal chemistry, we hope this review will offer new ideas for comprehending hydrothermal reaction systems from the angle of condensed matter chemistry.

Fuel cell technology and its industrialization have been developed rapidly in China in recent years. However, the high cost of the fuel cell caused mainly by the using of precious Pt catalysts is still one of the most important factors restricting the development of fuel cell commercialization. It is of great significance to develop low Pt catalysts with much higher catalytic efficiency and lower Pt loadings. In recent years, Pt-based catalysts with three-dimensional morphology or nanostructure have been emerged as a type of ultra-important low Pt catalysts, due to their special morphologies/structures, their catalytic activity are usually much higher than that of the widely used Pt/C catalysts. In this paper, the research progress of Pt-based catalysts with special three-dimensional morphology (such as nanoframe structure, flower-like structure, nanocage structure, sea urchin structure, etc.) and their applications in fuel cells are reviewed, meanwhile, some weaknesses and challenges of these catalysts are concluded; Furthermore, the future development and application of these catalysts are prospected.

Photoacoustic (PA) imaging, as a new type of imaging technique that offers strong optical absorption contrast and high ultrasonic resolution, shows great application prospects in the early disease diagnosis for its characteristics of deep tissue penetration and high spatial resolution. However, traditional "always on" PA contrast agents have many disadvantages such as low signal-to-noise ratio, poor selectivity and specificity. In contrast, activatable PA contrast agents, where the imaging signal can be changed in response to pathologic parameters, have shown decreased background signal and improved selectivity and specificity in early disease detection. Moreover, these contrast agents can obtain pathological parameters and information of various diseases at the molecular level by rational design to their structures, providing important guidelines for the optimization of treatment options. Therefore, activatable PA contrast agents hold greater promise in clinical practice than traditional "always on" PA contrast agents. In this review, we describe the recent advances in the development of activatable PA contrast agents. The design mechanisms and proof-of-concept applications of these activatable PA contrast agents are summarized in detail. The use of these activatable probes to detect different pathologic parameters (such as metal ions, enzymes, reactive nitrogen and reactive oxygen) is highlighted. Finally, current challenges and future perspectives in this emerging field are also analyzed.

The elemental sulfur as an active cathode material in lithium sulfur batteries possess a high theoretical energy density of 2600 Wh/kg, which is 5~6 times higher than that of traditional Li-ion batteries. Thus, the use of lithium sulfur batteries can significantly prolong the endurance mileage of electric cars and working time of electronic products. However, lithium sulfur batteries are suffering from the dissolution of polysulfide in the electrolyte during charging and discharging process, which can cause dramatic loss of active materials in the cathode. In order to suppress the problem of polysulfide dissolution, strategies such as porous modification and polarization were applied to increase the sulfiphilicity of cathode host. The biomass fibers are natural nanomaterial source to obtain cathode host materials which typically possess natural abundant hierarchical pores and heteroatoms. The porosity and heteroatom doping properties of biomass fiber derived host materials can be used to trap polysulfide via chemical and physical adsorption in cathode. The application of such materials in cathode are beneficial for slowing down the decay rate of cycling stability in lithium sulfur batteries. This review provides an overview and discussion on the application, working mechanism, problems and prospects of the biomass fibers derived cathode host for lithium sulfur batteries.

In recent years,the use of abundant and renewable biomass resources to prepare high value-added chemicals and liquid fuels is one of the hot spots in the chemical research field,which is in line with the national strategy of sustainable development. 5-hydroxymethylfurfural(HMF)is one of the key biomass platform compounds,widely used in the preparation of fine platform compounds,drug intermediates,polymer synthesis and liquid fuel precursor. Therefore,the selective oxidation of HMF has gradually become a research hotspot in the field of biomass. This paper mainly introduces the research on preparation of biomass derivatives such as DFF,FFCA and FDCA by selective oxidation of HMF in last five years,and the transformation of biomass with HMF as intermediate. The selective oxidation of HMF mainly focuses on two ways:thermalcatalytic and photocatalytic. Among them,the selective oxidation of HMF to DFF and FDCA by thermalcatalytic is widely studied. The catalytic system under this approach mainly introduces the noble metals and non-precious metals. In the few photocatalytic pathways,the main catalytic system is g-C₃N₄ catalyst. In addition,the deficiencies in there search on the oxidation of HMF are pointed out and the possible solutions are proposed.