Innovative Perspective Research Articles

Encapsulation of Olea europaea Leaf Polyphenols in Liposomes: A Study on Their Antimicrobial Activity to Turn a Byproduct into a Tool to Treat Bacterial Infection.

According to the innovative and sustainable perspective of the circular economy model, Olea europaea leaves, a solid byproduct generated every year in large amounts by the olive oil production chain, are considered a valuable source of bioactive compounds, such as polyphenols, with many potential applications. In particular, the following study aimed to valorize olive leaves in order to obtain products with potential antibacterial activity. In this study, olive leaf extracts, rich in polyphenols, were prepared by ultrasound-assisted extraction using green solvents, such as ethanol and water. The extracts were found to be rich in polyphenols up to 26.7 mgGAE/gleaves; in particular, hydroxytyrosol-hexose isomers (up to 6.6 mg/gdryextract) and oleuropein (up to 324.1 mg/gdryextract) turned out to be the most abundant polyphenolic compounds in all of the extracts. The extracts were embedded in liposomes formulated with natural phosphocholine and cholesterol, in the presence or in the absence of a synthetic galactosylated amphiphile. All liposomes, prepared according to the thin-layer evaporation method coupled with an extrusion protocol, showed a narrow size distribution with a particle diameter between 79 and 120 nm and a good polydispersity index (0.10-0.20). Furthermore, all developed liposomes exhibited a great storage stability up to 90 days at 4 °C and at different pH values, with no significant changes in their size and polydispersity index. The effect of the encapsulation in liposomes of O. europaea leaf extracts on their antimicrobial activity was examined in vitro against two strains of Staphylococcus aureus: ATCC 25923 (wild-type strain) and ATCC 33591 (methicillin-resistant S. aureus, MRSA). The extracts demonstrated good antimicrobial activity against both bacterial strains under investigation, with the minimum inhibitory concentration ranging from 140 to 240 μgextract/mL and the minimum bactericidal concentration ranging from 180 to 310 μgextract/mL, depending on the specific extract and the bacterium tested. Moreover, a possible synergistic effect between the bioactive compounds inside the extracts tested was highlighted. Notably, their inclusion in galactosylated liposomes highlighted comparable or slightly increased antimicrobial activity compared to the free extracts against both bacterial strains tested.

Accurate prediction of colorectal cancer diagnosis using machine learning based on immunohistochemistry pathological images

Colorectal cancer (CRC) ranks as the third most prevalent tumor and the second leading cause of mortality. Early and accurate diagnosis holds significant importance in enhancing patient treatment and prognosis. Machine learning technology and bioinformatics have provided novel approaches for cancer diagnosis. This study aims to develop a CRC diagnostic model based on immunohistochemical staining image features using machine learning methods. Initially, CRC disease-specific genes were identified through bioinformatics analysis, SVM-RFE and Random Forest algorithm utilizing RNA-seq data from both GEO and TCGA databases. Subsequently, verification of these genes was performed using proteomics data from CPTAC and HPA database, resulting in identification of target proteins (AKR1B10, CA2, DHRS9, and ZG16) for further investigation. SVM and CNN were then employed to analyze and integrate the characteristics of immunohistochemical images to construct a reliable CRC diagnostic model. During the training and validation process of this model, cross-validation along with external validation methods were implemented to ensure accuracy and reliability. The results demonstrate that the established diagnostic model exhibits excellent performance in distinguishing between CRC and normal controls (accuracy rate: 0.999), thereby presenting potential prospects for clinical application. These findings are expected to provide innovative perspectives as well as methodologies for personalized diagnosis of CRC while offering more precise references for promising treatment.

Plasmon and N-vacancy synergistically enhanced tubular carbon nitride-based S-scheme heterojunction photocatalyst with one stone five birds function: Pathways, DFT calculation and mechanism insight

From the perspectives of innovation and broad-spectrum, tubular carbon nitride-based photocatalyst, viz., Ag/AgI/g-C3N4 S-scheme heterojunction photocatalyst, with enhancement of nitrogen vacancy and localized surface plasmon resonance (LSPR) effect is reasonably devised and manufactured via combining hydrothermal, calcination and photo-reduction techniques. The optimal specimen displays high photocatalytic activity in removal of dyes (such as crystalline violet, 100.00 %/60 min), antibiotics (such as levofloxacin, 88.72 %/50 min) and Cr6+ (100.00 %, 30 min), photocatalytic hydrogen evolution (1023.3 μmol h−1 g−1) and H2O2 generation (866.2 μmol h−1 g−1), achieving broad-spectrum natures, viz., realizing the function of “one stone five birds”. The broad-spectrum natures are attributed to the synergisms of nitrogen vacancy, LSPR effect of Ag, hollow tube structure and S-scheme heterojunction, which facilitate the separation and migration of photo-generated carriers and inject “hot electrons” generated by Ag into the conduction band of Ag/AgI/g-C3N4, increase the specific surface area and broaden the spectral response range. Further, the degraded intermediates of crystalline violet and levofloxacin and possible degradation pathways are rationally advanced by the aid of LCMS spectra, and synergistically enhanced photocatalytic mechanism of Ag/AgI/g-C3N4 hollow tube S-scheme heterojunction is confirmed based upon a series of sound experiments, fs-TA spectra, in-situ XPS and DFT calculation, etc.

Advancing equitable value chains for the global hydrogen economy

Hydrogen is a rapidly growing focus for countries seeking to develop green industries, but there are many questions about how the nascent global hydrogen economy will develop, and what this implies for equitable sharing of benefits and burdens between nations. In this perspective we summarize emerging trends in national hydrogen strategies and develop recommendations for researchers and policymakers to center equity in hydrogen development. This will require integrating innovation and development perspectives on international technology transfer, developing more detailed representation of hydrogen trade in systems models, building equity considerations into national and international planning processes, and establishing robust technology transfer efforts. Policymakers will also need to grapple with the difficulties of verifying life cycle emissions of hydrogen if hydrogen trade emerges as a significant trend, potentially requiring new methods of emissions accounting and trade reforms that prioritize international equity.

A Single-Cell Atlas of Porcine Skeletal Muscle Reveals Mechanisms That Regulate Intramuscular Adipogenesis

Porcine skeletal muscle development is closely linked to meat production efficiency and quality. The accumulation of porcine intramuscular fat is influenced by the hyperplasia and hypertrophy of adipocytes within the muscle. However, the cellular profiles corresponding to the two stages of muscle development remain undetermined. Single-nucleus RNA sequencing (snRNA-seq) can elucidate cell subsets in tissues, capture gene expression at the individual cell level, and provide innovative perspectives for studying muscle and intramuscular fat formation. In this study, a total of 78,302 nuclei and 9 clusters of cells, which included fibro/adipogenic progenitor (FAP), myonuclei, adipocytes, and other cell types, of Xidu black pigs, were identified on Day 1 and Day 180. The pattern of cell clustering varied between the two developmental stages. Notably, the percentage of adipocytes in the Day 180 group was higher than in the Day 1 group (0.51% vs. 0.15%). Pseudo-time sequence analysis indicated that FAPs could differentiate into adipocytes and myonuclei cells, respectively. The THRSP gene was identified as a biomarker for swine intramuscular fat cells, and its down-regulation resulted in significant reduction in lipid droplet formation in porcine preadipocytes. Our research provides new insights into the cellular characteristics of intramuscular fat formation, which may facilitate the development of novel strategies to enhance intramuscular fat deposition and improve pork quality.

Ultra-high performance concrete with high strength, workability, loading durability and low curing maintenance for applications in airport pavement

With the rapid development of the aviation industry, airport pavement is subjected to ever-increasing loads, posing urgent and higher demands on the mechanical performance and durability of pavement materials. This study develops a novel Ultra-High Performance Concrete (UHPC) with outstanding mechanical properties, good workability, low curing maintenance, and excellent performance in sustaining long-term load to specially designed for its potential application in airport pavement. The as-developed UHPC contains a mixed portion of fine and coarse aggregate, assuring its workability and avoiding the early-age shrinkage crack for the potential on-site construction. With a 7-day compressive strength of 140MPa, compressive strength of 155.1MPa, flexural strength of 25.4MPa at 28 days, and a wear loss per unit area of 0.043kg/m2, the mechanical properties of UHPC well outperform those of conventional C30 airport pavement concrete. Finite element simulation analysis reveals that a 10cm thick UHPC surface layer demonstrates durability and safety under aircraft taxiing and landing impact loads, with a maximum tensile stress of 4.12MPa well below its tensile strength limit of 8.75MPa. Furthermore, it is predicted that a 10cm thick UHPC overlay could support a load cycle lifespan 1014 times longer than that of conventional C30 concrete of 30cm thickness, indicating its potential to significantly extend the service life of airport pavement. This research provides a theoretical basis for the applications of UHPC in airport pavement and presents innovative perspectives on into material and structural design of airport pavement materials for the future.

Book review of Coleman's “The Psychology of the Teenage Brain”

This review examines John Coleman's book "The Psychology of the Teenage Brain", which provides an interdisciplinary exploration of adolescent neurodevelopment. Coleman draws from neuroscience, psychology, education and other fields to elucidate the profound neural reorganization underlying teenage behavior and cognitive processes. The book offers a holistic, humanistic framework for understanding the adolescent experience through the lenses of neurobiology, environmental influences and sociocultural context. Key topics covered include synaptic pruning, brain connectivity changes, hormonal impacts, social dynamics, mental health considerations and more. While comprehensive, some areas like gender, cultural and socioeconomic factors could be further examined. Overall, Coleman's empathetic, nuanced analysis compellingly repositions adolescence as an evolutionarily vital transition catalyzing cognitive reinvention, creativity and social intelligence rather than mere dysfunction. With its synthesis of complex neuroscience into clear insights for parents, educators and clinicians, this definitive interdisciplinary work is a significant contribution to the literature. This comprehensive review offers an insightful analysis of Coleman's groundbreaking interdisciplinary synthesis exploring adolescent neurodevelopment. It highlights the book's empathetic reframing of teenage experiences through neuroscience, revealing innovative perspectives valuable for parents, educators, and anyone seeking to understand this pivotal life stage.

Effect of technology multiplier: A framework for analysis of innovation perspectives on production segment allocation

In the realm of production systems, determining the optimal segment allocation remains a central concern. While several existing models address this issue, a significant gap remains as many overlook the critical role of innovation and lack a holistic perspective. This paper presents a model that emphasizes innovation capabilities and introduces the concept of a “Technology Multiplier” underscoring the compounding influence of technology and innovation on production segment allocation decisions. Within this work, we focus on preliminary studies to establish the “Technology Multiplier” concept employing an Analytical Hierarchy Process (AHP) with sensitivity analysis. The validity of our approach is demonstrated through four case studies from three industries, illustrating the relevance of our elaborated metrics for the concept of “Technology Multipliers”. In particular, a leading automotive company uses our findings to reach a more appropriate strategic decision aligned with innovation and production growth, compared to its previous decisions. These results not only demonstrate a robust fit with our proposed metrics but also indicate that our framework lays the foundation for further research on the “Technology Multiplier”, enriching the decision-making process for production segment allocation.

Advocating for rebellion – Rebel diplomacy and international advocacy in the Bougainville Crisis

ABSTRACT Solidarity movements, pressure groups, or support networks can be observed in most disputes about territory, sovereignty, and secession. Yet, international advocacy remains an under-researched aspect of secessionist conflict. What is the function of non-state support for secessionist rebellion? Drawing on archival and original data, I investigate the interactions between the Bougainville Revolutionary Army and its international support network. The analysis finds that secessionist rebels seek non-state assistance to compensate for their lack of state patronage and obtain various benefits. Fusing rebel diplomacy with transnational advocacy offers an innovative perspective on the international interactions of secessionist groups.

The Construction of Practical Teaching Quality Assurance System of Hotel Management Major under the Perspective of Collaborative Innovation of Government-Industry-University-Research

This paper discusses the construction of quality assurance system for practical teaching of hotel management major from the perspective of collaborative innovation of government-industry-university-research. Firstly, this paper analyzes the problems in the practical teaching of hotel management, such as lack of resources and traditional teaching methods, and emphasizes the importance of constructing the quality assurance system of practical teaching. Then, combined with the theoretical framework of collaborative innovation of government-industry-university-research, the strategies for constructing the quality assurance system of practical teaching are put forward, including the longitudinal curriculum system of “four continuous and three in-depth”, the horizontal operation system of "three classroom interactions" and the overall management system of "double cooperation and mutual supervision". It is found that the collaborative innovation of educational mechanism between government-industry-university-research can significantly improve the quality of personnel training, but the implementation process needs to overcome the challenges such as imperfect collaborative mechanism. Finally, the article puts forward some concrete measures, such as strengthening the cooperation between government and industry-university-research, optimizing the curriculum system, strengthening the construction of teachers, improving the quality monitoring and evaluation system and promoting students' professional development. Through the implementation of these measures, the quality assurance system of practical teaching of hotel management specialty can be effectively constructed, which provides strong talent support for the sustainable development of hotel industry.

Innovative Applications and Perspectives of Surface-Enhanced Raman Spectroscopy Technology in Biomedicine.

Surface-enhanced Raman spectroscopy (SERS) has become a revolutionary technique in the biomedical field, providing unparalleled sensitivity for the detection and characterization of biological samples. In this review, recent SERS innovations are comprehensively discussed, including advanced substrate materials, different SERS detection strategies, and multimodal approaches that combine SERS with other biotechnologies. Among them, the role of SERS in the accurate diagnosis of tumors is highlighted, which has promoted accurate molecular analysis and real-time monitoring of treatment effects. In addition, the growing potential of SERS in the treatment of chronic diseases such as cardiovascular disease, diabetes, and neurodegenerative diseases is discussed. Moreover, the integration with microfluidic chip systems for precise single-cell analysis is presented. To give a forward-looking view, the key challenges faced by SERS technology are also proposed, and possible solutions to overcome these obstacles are provided.

Bandwidth expansion effects and electromagnetic wave loss mechanisms in Y2Co8Fe9 powders with multiple particle size distributions

Electromagnetic interference and radiation demand advanced absorbing materials to moderate pollution. In this work, the wide bandwidth and strong absorption electromagnetic wave absorbing material Y2Co8Fe9 powder was prepared by the plasma-assisted ball milling method, and the microstructure and electromagnetic wave absorption mechanism were systematically investigated. The particle size of Y2Co8Fe9 powder was optimized to enhance absorption properties, resulting in a minimum reflection loss of −41.4 dB after 2 h of ball milling, with an effective absorption bandwidth (EAB) of 7.6 GHz at a thickness of 1.6 mm. The concept of average loss is introduced based on the synergistic effect of dielectric and magnetic losses. It is demonstrated that an average loss within 0.45 leads to desirable EAB values. These results demonstrate the significance of determining the influence of particle size distributions and average losses on material absorption performance, providing an innovative perspective to preparing efficient wave-absorbing materials.

Improving the efficiency of polymer solar cells based on chitosan@PVA@rGO composites via gamma-irradiated treatment of rGO nanoparticles

Polymer solar cells (PSCs) are growing as attractive contenders for renewable energy technologies given their low cost, adaptability, and environmental sustainability, rendering them valuable in combating climate change. Interestingly, this work investigates the augmentation of photon absorption and overall efficiency in low-cost, effective active layers (ALs) via gamma irradiation treatment, thereby raising the number of active absorption sites. For the first time, novel Chitosan@PVA@rGO (CPG) composite sheets were created as AL materials and treated to varied dosages of in-situ gamma irradiation (0, 10, 20, 30, and 40 KGy) to optimize their microstructural and physicochemical characteristics. The processed ALs were subjected to comprehensive tests, which included J–V variable evaluation as well as evaluations of microstructure, porosity, morphology, contact angle, optical characteristics, and electrochemical impedance spectroscopy (EIS). The findings reveal that the composites' surface properties got better gradually as gamma irradiation dosages grew; peak performance was reached at 30 KGy (75.9 % apparent porosity and roughness parameter Ra = 6.22 μm). Extended gamma irradiation resulted in increased DSSC efficiency, which reached 6.85 % after 10 KGy and 7.63 % after 20 KGy. High-energy gamma photons boosted mobility and decreased resistive limits by reducing carrier recombination and facilitating charge carrier movement inside CPG compounds. This increased the longevity and charge transfer efficiency of the solar cell. After 30 KGy alteration, the CPG AL's optimized efficiency of 8.78 % and Jsc of 20.23 mA/cm2 indicate a 44.3 % improvement in efficacy over the pristine material. The insertion of oxygen-enriched free radicals into the CPG structure is responsible for the improvement in photovoltaic efficiency because it creates continuous pathways for fast electron transport. This work provides an innovative perspective on the use of heteroatom-doped ALs in PSCs by highlighting the benefits of co-doping and regulated heteroatom species.

An Optimized Method for BMI in Environmental Projects Based on the Value-Oriented AHP

Effective rural solid waste management (RSWM) is crucial for sustainable rural development, particularly in developing countries, which face dual challenges from economic growth and environmental protection. To build a more sustainable business model for RSWM, this study employs a value proposition analysis approach to systematically analyze the multi-level requirements of various stakeholders involved in the current models of RSWM. It then proposes a novel optimizing approach for RSWM models from the perspective of business model innovation (BMI) by integrating the value proposition (VP) theory with the algorithm of the Analytic Hierarchy Process (AHP) to fill the research gap. In this study, an AHP-based evaluating algorithm is firstly proposed based on the viewpoints of multiple stakeholders’ value propositions. Using this method, four typical pilot RSWM models across China are assessed and ranked, followed by a comprehensive analysis of the results and the incorporation of hierarchical criteria from multiple value dimensions. Building on the analysis of the results, optimization strategies for a novel RSWM model are proposed by constructing a conceptual framework of the business model. In addition, the analysis also indicates that both phases of sorting and collection and transportation are the main factors for fulfilling the overall satisfaction of the RSWM models. Lastly, this paper concludes by summarizing the relevant theoretical and managerial implementations of the proposed approach, providing a foundation for the scientific development of appropriate RSWM models by providing a new idea for BMI especially for environmental management projects that include multiple stakeholders.

Perspectives of Digital Health Innovations in Low- and Middle-Income Health Care Systems From South and Southeast Asia.

Digital health innovations have emerged globally as a transformative force for addressing health system challenges, particularly in resource-constrained settings. The COVID-19 pandemic underscored the critical importance of these innovations for enhancing public health. In South and Southeast Asia, a region known for its cultural diversity and complex health care landscape, digital health innovations present a dynamic interplay of challenges and opportunities. We advocate for ongoing research built into system development and an evidence-based strategy focusing on designing and scaling national digital health infrastructures combined with a vibrant ecosystem or "marketplace" of local experiments generating shared experience about what works in which settings. As the global digital health revolution unfolds, the perspectives drawn from South and Southeast Asia-including the importance of local partnerships-may provide valuable insights for shaping future strategies and informing similar initiatives in low- and middle-income countries, contributing to effective digital health strategies across diverse global health contexts.

Photon-Counting Detector CT: Advances and Clinical Applications in Cardiovascular Imaging.

Since the approval of the first dual-source photon-counting detector CT (PCD-CT) in the fall of 2021, significant insights have been gained in its application for cardiovascular imaging. This review aims to provide a comprehensive overview of the current state of knowledge and the growing body of research literature, illustrating innovative applications and perspectives through case examples.We conducted a structured literature review, identifying relevant studies via Google Scholar and PubMed, using the keywords "photon-counting detector", "cardiovascular CT", "cardiac CT", and "ultra-high-resolution CT". We analyzed studies published since January 2015. Additionally, we integrated our own clinical experiences and case examples.In addition to the well-known benefit of increased temporal resolution offered by dual-source scanners, dual-source PCD-CT provides three key advantages: 1) Optimized geometric dose efficiency with an improved contrast-to-noise ratio, 2) intrinsic spectral sensitivity, and 3) the ability for ultrahigh-resolution CT. This technology enables improved image quality or radiation dose reduction in established cardiovascular protocols. Its use in non-invasive cardiac diagnostics for obese patients, those with a high plaque burden, or after stent implantation appears technically feasible, potentially expanding the scope of CT. The spectral sensitivity also allows tailored image acquisition, reducing metallic artifacts and contrast agent doses in patients with renal impairment. Early studies and clinical experience support these potential applications of PCD-CT in cardiovascular diagnostics, suggesting workflow optimization and improved patient management.However, challenges remain, including high costs, large data volumes, somewhat longer reconstruction times, and technical difficulties in combining spectral sensitivity with ultra-high resolution. Prospective randomized studies with clinical endpoints are lacking to confirm the clear advantage over conventional scanners. Future research should focus on endpoint-based studies and robust cost-benefit analyses to evaluate the potential of this technology and facilitate its evidence-based integration in clinical practice. · Photon-counting detector CT represents a technological advancement in computed tomography.. · Spectral sensitivity enhances iodine signal and minimizes artifacts.. · Ultra-high-resolution CT allows precise imaging, even in stents and advanced sclerosis.. · This technology must be validated through endpoint-based, randomized studies.. · Hagar MT, Schlett CL, Oechsner T et al. Photon-Counting Detector CT: Advances and Clinical Applications in Cardiovascular Imaging. Fortschr Röntgenstr 2024; DOI 10.1055/a-2452-0288.

Strategic Innovation: Integrating System Dynamics into Management Control

This article explores the concept of strategic innovation, with a focus on its integration with system dynamics in the field of management control. By examining the synergies between these two domains, the article proposes innovative perspectives to enhance decision-making processes and overall business management. The authors highlight the benefits of adopting a systemic approach in management control, emphasizing how it can foster a deeper understanding of complex interactions within organizations. Practical case studies illustrate how this integration can lead to significant innovations, providing managers with valuable tools to navigate in an ever-evolving business environment. Ultimately, the article underscores the strategic importance of merging systems thinking with management control to promote more effective, resilient, and future-oriented business management.

Research on the impact of the digital economy on haze pollution: evidence from prefecture-level cities in China

Lately, the ongoing issue of haze pollution in multiple cities across China has had a profound impact on the residents’ wellbeing and overall health. The urgent necessity to address haze pollution is undeniable. Meanwhile, the rapidly evolving digital economy has sprung up as a pivotal driver for China’s economic growth, providing innovative approach to tackle haze pollution. This research explores the impact of the digital economy on haze pollution through utilizing the big data pilot zone as a quasi-natural experiment. Panel data from 280 prefecture-level cities in China is adopted, covering the period from 2011 through 2020. This analysis incorporates various models, namely, difference-in-differences model (DID), mediation effect model, and difference-in-differences spatial Durbin model. The findings highlight the substantial contributions of digital economy in alleviating haze pollution. Furthermore, these findings hold true even after a series of rigorous robustness checks. The constraint influence of the digital economy on haze pollution is particularly prominent in metropolitan areas, cities with elevated administrative levels, primary environmental protection cities, as well as economically developed cities. Financial development and technological innovation serve as important mechanisms through which the digital economy suppresses haze pollution. After accounting for spatial factors, the digital economy exhibits consequential spillover effects, leading to substantial inhibition of haze pollution in surrounding cities as well as locally. The novel aspects of this paper are as follows: Firstly, it regards the establishment of big data experimental zones as the exogenous policy shock of digital economy and employs a multi period DID model to evaluate the impact of the digital economy on haze pollution. Secondly, it explores the transmission pathways through which the digital economy affects haze pollution from the perspectives of financial development and technological innovation. Thirdly, it investigates the heterogeneous characteristics of the impact of the digital economy on haze pollution. Fourthly, it examines the spatial spillover effects of the digital economy on haze pollution from the perspective of spatial econometrics.

2D/2D Hydrogen-Bonded Organic Frameworks/Covalent Organic Frameworks S-Scheme Heterojunctions for Photocatalytic Hydrogen Evolution.

Hydrogen-bonded organic frameworks (HOFs) demonstrate significant potential for application in photocatalysis. However, the low efficiency of electron-hole separation and limited stability inhibit their practical utilization in photocatalytic hydrogen evolution from water splitting. Herein, the novel dual-pyrene-base supramolecular HOF/COF 2D/2D S-scheme heterojunction between HOF-H4TBAPy (Py-HOF, H4TBAPy represents the 1,3,6,8-tetrakis (p-benzoic acid) pyrene) and Py-COF was successfully established using a rapid self-assembly solution dispersion method. Experimental and theoretical investigations confirm that the size-matching of two crystalline porous materials enables the integrated heterostructure material with abundant surface reaction sites, strong interaction, and an enhanced S-scheme built-in electric field, thus significantly improving the efficiency of photogenerated charge carrier separation and stability. Notably, the optimal HOF/COF heterojunction achieves a photocatalytic hydrogen evolution rate of 390.68 mmol g-1 h-1, which is 2.28 times higher than that of pure Py-HOF and 9.24 times higher than that of pure COF. These findings precisely acquire valuable atomic-scale insights into the ingenious design of dual-pyrene-based S-scheme heterojunction. This work presents an innovative perspective for forming supramolecular S-scheme heterojunctions over HOF-based semiconductors, offering a protocol for designing the powerful and strong-coupling S-scheme built-in electric fields for efficient solar energy utilization.

2D/2D Hydrogen‐Bonded Organic Frameworks/Covalent Organic Frameworks S‐scheme Heterojunctions for Photocatalytic Hydrogen Evolution

Hydrogen‐bonded organic frameworks (HOFs) demonstrate significant potential for application in photocatalysis. However, the low efficiency of electron‐hole separation and limited stability inhibit their practical utilization in photocatalytic hydrogen evolution from water splitting. Herein, the novel dual‐pyrene‐base supramolecular HOF/COF 2D/2D S‐scheme heterojunction between HOF‐H4TBAPy (Py‐HOF, H4TBAPy represents the 1,3,6,8‐tetrakis (p‐benzoic acid) pyrene) and Py‐COF was successfully established using a rapid self‐assembly solution dispersion method. Experimental and theoretical investigations confirm that the size‐matching of two crystalline porous materials enables the integrated heterostructure material with abundant surface reaction sites, strong interaction, and an enhanced S‐scheme built‐in electric field, thus significantly improving the efficiency of photogenerated charge carrier separation and stability. Notably, the optimal HOF/COF heterojunction achieves a photocatalytic hydrogen evolution rate of 390.68 mmol g−1 h−1, which is 2.28 times higher than that of pure Py‐HOF and 9.24 times higher than that of pure COF. These findings precisely acquire valuable atomic‐scale insights into the ingenious design of dual‐pyrene‐based S‐scheme heterojunction. This work presents an innovative perspective for forming supramolecular S‐scheme heterojunctions over HOF‐based semiconductors, offering a protocol for designing the powerful and strong‐coupling S‐scheme built‐in electric fields for efficient solar energy utilization.