Comprehensive Advantages Research Articles

Simulation study on a novel solid–gas coupling hydrogen storage method for photovoltaic hydrogen production systems

Compressed hydrogen storage in photovoltaic hydrogen production systems faces several challenges, including limitations in storage volume, compression energy consumption and safety concerns. To improve the comprehensive hydrogen storage performance, this study develops a novel solid–gas coupling hydrogen storage method that combines metal hydride and phase change material (MH-PCM). Firstly, a vertical MH-PCM solid storage model considering the natural convection effect is proposed and investigated. Building upon this model, the solid–gas coupling hydrogen storage is constructed and integrated into the photovoltaic hydrogen production system to evaluate its comprehensive storage performance. Results reveal that considering natural convection leads to an approximately 12.7 % increase in the average storage rate, but is also accompanied by an uneven storage process. To address this unevenness and further enhance the storage rate, it's advisable to focus on structural optimization at the bottom of the tank. Additionally, improving the PCM thermal conductivity and hydrogen inlet pressure (to approximately 1 MPa) are also proven effective strategies. The proposed solid–gas coupling hydrogen storage demonstrates comprehensive advantages, particularly compact size and reduced energy consumption. Furthermore, appropriately increasing the coupling ratio between solid and gaseous capacities can achieve the even smaller storage volume. These findings can provide valuable theoretical and engineering guidance for implementing such hydrogen production and storage systems.

Mechanical performance of concrete canvas reinforced with insert-bar structures under quasi-static and impact loading

Concrete canvas (CC) is a promising composite based on a combination of three-dimensional fabric and cement-based powder, with the comprehensive advantages of easy storage and transport, convenient construction, rapid strength development, and low dust pollution. In civil and military engineering, interest and exploration work within the field of CC have been ongoing for many years. While external measures exist to enhance the mechanical properties of CC, substantial internal measures are still lacking. In this paper, an internal stiffening strategy was proposed by coupling warp-knitted spacer structure with a series of insert-bar structures, attempting to improve the mechanical performance of CC. The reinforcing effect of flexible bar stiffeners were investigated through quasi-static bursting test and impact test. Damage morphology analysis was then performed to reveal the progressive failure mechanism. The obtained results demonstrated that flexible bar stiffeners with low modulus were highly beneficial reinforcements for CC due to their favorable synergy and great stress dissipation capacity. The load-bearing capacity and toughness of CC were increased with the insertion height and groups of bar combination. The vertical combination could further enhance the penetration resistance by altering stress transfer.

MXene based aerogel composite with thermal camouflage and electromagnetic wave absorption performance

In this study, the electrospinning method was successfully applied to the preparation of Ti3C2 @Fe3O4 @rGO aerogel. To accomplish comprehensive advantages, reduced graphene oxide (rGO), Ti3C2 MXene nanosheets and Fe3O4 nanoparticles were suitably combined. The prepared Ti3C2 @Fe3O4 @rGO aerogel with superior high-temperature indoor/outdoor thermal camouflage performance: wide camouflage temperature range (from room temperature to over 200 ℃), large reduction in radiation temperature (exceeding 120 ℃ for objects with temperatures over 200 ℃). Meanwhile, the electromagnetic interference (EMI) shielding efficiency of the Ti3C2 @Fe3O4 @rGO in the X-band reaches 50 dB which means that it can shield more than 99.9 % of the incident electromagnetic waves. In conclusion, the successful preparation of Ti3C2 @Fe3O4 @rGO provides an effective strategy for the design of high-temperature thermal camouflage and microwave absorber in the future.

Optimal incentive strategy in blockchain-based mobile crowdsensing using game theory

Mobile crowdsensing (MCS) is a cutting-edge technology that leverages the computing power of mobile devices to gather environmental data, efficiently utilizing underutilized resources to complete sensing tasks. However, the lack of initiative and motivation among participants in existing MCS systems is a crucial factor limiting its development. As a result, examining the incentive mechanism in MCS becomes essential for attracting a greater number of participants to join. In addition, existing MCS systems typically employ a centralized platform, but this structure poses security issues, as the platform can manipulate MCS operations to gain inappropriate profits and is prone to single point of failures. In response to the above-mentioned issues, this paper proposes a novel blockchain-based MCS system, referred to as CrowdBS. Firstly, the system adopts a decentralized structure and distributed consensus methods to enhance the reliability and security of the system. Additionally, the use of smart contracts allows the system to automatically execute predefined operations without the need for human intervention. In MCS, this means that it can automatically trigger operations such as data collection, reward distribution, task assignment, etc., thereby improving efficiency and reducing the risk of human intervention. Secondly, the system introduces a two-stage Stackelberg game model, attracting more sensing users to participate in tasks through reasonable incentive mechanisms and ensuring fairness in reward distribution, thereby promoting efficient, reliable, and sustainable execution of crowdsensing tasks. Finally, the correctness of the model is verified through simulation experiments, and compared with the existing MCS system. The comparison results show that the system and its incentive mechanism have more comprehensive advantages in terms of reliability, security and performance.

Developing a New Flow Cell for Electrochemical Machining Anodic Dissolution Investigations by Simulation-Based Design and 3D Printing

Abstract Electrochemical machining (ECM) is an essential non-traditional industrial shaping technology. An in-depth understanding of ECM anodic dissolution is fundamentally important for process parameter design and optimization. However, the existing electrochemical setups face challenges in achieving efficient analysis of these processes. In this work, a new flow cell has been developed via simulation-based design and 3D printing that demonstrates comprehensive advantages in terms of improved electric and flow conditions, measurement technique versatility, and production simplicity at low cost. Simulations are performed to reveal particular characteristics of the proposed cell in terms of physical distributions and to determine its key dimensions with high efficiency. The stereo lithography technique is used to realize the complex design and fabricate the proposed flow cell, thus ensuring ease of accessibility. Furthermore, the effectiveness of the developed cell is verified experimentally by examining the anodic behavior of typical metals in common ECM electrolytes, using Fe and SS304 stainless steel as examples. Test results show that information on the polarization behavior, current efficiency, anodic interface structure, and surface finish can be obtained conveniently and the results agree with previous findings, demonstrating the potential of the developed cell to perform high throughput tests to study ECM fundamentals.

Effect of Mo2C Addition on the Tribological Behavior of Ti(C,N)-Based Cermets.

Due to the excellent properties of Ti (C,N)-based ceramics, such as high hardness, excellent wear resistance, exceptional thermal deformation resistance, and sound chemical stability, they have been widely used in cutting tools or molds. Thus, revealing their tribological behavior against hard materials is of great significance. Some studies have reported the tribological behavior of Ti(C,N)-based cermets and hard cermets, but so far, the effects of Mo2C additions on the frictional properties of Ti(C,N)-based cermets are still unclear. In this study, Ti(C,N)-10WC-1Cr3C2-5Co-10Ni-x Mo2C cermets (x = 4, 6, 8, 10 and 12 wt.%) were sintered using a vacuum hot-pressing furnace. Furthermore, the core-rim morphologies of the sintered samples were observed in SEM images. Then, the wear resistance of the cermets was studied against a Si3N4 ball at a 50 N load using the fretting wear test. Finally, the wear mechanism was characterized using a combination of SEM, EDS and XPS. The experimental results indicated that the wear mechanisms of the cermets were mainly abrasive wear, adhesive wear, and the formation of an oxide film. As the content of Mo2C increased from 4 wt.% to 12 wt.%, the friction coefficient and wear volume had a variation law of first decreasing and then decreasing, and reached minimum values at 6 wt.% and 12 wt.%, and the lowest friction coefficient and wear rate were 0.49 and 0.9 × 10-6 mm3/Nm, respectively. The 6 wt.% Mo2C greatly improved the hardness and fracture toughness of the cermet, while the 12 wt.% Mo2C promoted the formation of an oxide film and protected the friction surface. The cermet with 6 wt.% Mo2C is recommended because it has comprehensive advantages in terms of its mechanical properties, tribological properties, and cost.

A sensitive liquid chromatography–tandem mass spectrometry method for determination biomarkers of monoamine neurotransmitter disorders in cerebrospinal fluid

BackgroundCerebrospinal fluid (CSF) monoamine neurotransmitters, their precursors and metabolites are essential biomarkers in the diagnosis and follow-up of monoamine neurotransmitter disorders (MNDs). However, their extra low concentrations and potential instability challenge the detection method. Here, we present a method that enables simultaneous quantification of these biomarkers. MethodWith propyl chloroformate /n-propanol, 16 biomarkers in 50 μL of CSF were derivatized in situ within seconds under an ambient temperature. The derivatives were extracted by ethyl acetate and separated by a reverse phase column followed by mass spectrometric detection. The method was fully validated. Optimal conditions for standard solution preparation and storage, as well as CSF sample handling, were investigated. CSF samples from 200 controls and 16 patients were analyzed. ResultsThe derivatization reaction stabilized biomarkers and increased sensitivity. Most biomarkers were quantifiable in concentrations between 0.02 and 0.50 nmol/L that were sufficient to measure their endogenous concentrations. The intra- and inter-day imprecision were < 15% for most analytes, and accuracy ranged from 90.3% to 111.6%. The stability study showed that standard stock solutions were stable at −80 °C for six years when prepared in the protection solutions; Analytes in CSF samples were stable for 24 h on wet ice and at least two years at −80 °C; But repeated freeze-thaw should be avoided. With this method, age-dependent reference intervals for each biomarker in the pediatric population were established. Patients with MNDs were successfully identified. ConclusionThe developed method is valuable for MNDs diagnosis and research, benefiting from its advantages of sensitivity, comprehensiveness, and high throughput.

A hybrid interferometer sensor for simultaneous measurement of temperature and gas pressure based on tapered seven-core fiber and PDMS

A novel hybrid interferometer sensor composed of a tapered seven-core fiber (TSCF) and a polydimethylsiloxane (PDMS) cap at the end face of a TSCF is proposed for simultaneous measurement of temperature and gas pressure. TSCF forms a Michelson interferometer (MI), and the PDMS cap on the end surface of TSCF forms a Fabry–Pérot interferometer (FPI). The sensing head consisted of a cascade of MI and FPI. When the external temperature or gas pressure changes, owing to the thermal effect or elastic deformation of PDMS, the interference spectrum of the FPI shifts significantly, so the FPI is very sensitive to temperature and gas pressure. MI, which is made of quartz optical fiber, is sensitive only to temperature and is not to gas pressure. The experimental results show that FPI has a temperature sensitivity of −0.22 nm °C−1 in the temperature range of 40 °C–80 °C, and a gas pressure sensitivity of −2.27 nm MPa−1 in the gas pressure range of 0–0.3 MPa. MI has a temperature sensitivity of 0.05 nm °C−1 in the temperature range of 40 °C–80 °C, and a gas pressure sensitivity of zero in the gas pressure range of 0–0.3 MPa. Using the temperature and gas pressure sensitivities of FPI and MI to construct a measurement matrix, it is possible to simultaneously measure temperature and gas pressure, eliminating their cross-sensitivity. This sensor has the comprehensive advantages of compact structure, small size, easy manufacturing, low cost, high reliability, and high sensitivity, and is expected to be applied in industrial practice.

From concept to space: a new perspective on AIGC-involved attribute translation

ABSTRACT Drawn inspiration from phenomenal attributes and translating them into heuristic model tools is one of the effective means to promote architectural form innovation. However, over-reliance on perception indicates greater risks in decision-making. Nowadays, AI-generated Content (AIGC) technology combines the advantages of information comprehensiveness and modelling efficiency, providing new possibilities for the translation of architectural attributes. Based on attribute study, this paper proposes a new approach to spatial translation that uses the Generative Adversarial Network (VQGAN + CLIP) to realize the visualization of abstract concepts and then adds multi-dimensional influence through the Keyframe Style Transfer technology. The eclectic attribute is used as an example for the 2D and virtual 3D translation feasibility experiments. The article aims to improve the scientificity and influence of spatial translation through a technical organization from the perspective of architects. While providing an innovative, democratic and efficient aided-design tool also highlights a new angle for AIGC-involved pre-design.

Design of Anti-blocking and Anti-seepage shield grouting materials and their performance enhancement mechanism analysis

To solve the current problems of long-distance pumping blockage and poor stability of shield grouting material in the construction of subway tunnels, we studied the effects of thickener and water reducing type, dosage, and water-to-binder (W/B) ratio on the workability and mechanical properties of shield grouting materials with high-volume crushed sand and ultrafine powder. The mechanism of thickeners' effects on improving mortar properties was analyzed using the cryo-scanning electron microscopy (Cryo-SEM). The results show that proper compatibility of components and proportion optimization make it possible to prepare high-performance shield grouting materials with excellent anti-blocking and anti-seepage properties. These materials exhibit high fluidity, low pressure bleeding rate, homogeneous distribution of components, and meet the engineering requirements regarding setting time and strength of grouting material. A comparison of the performance of three types of thickening agents reveals that although hydroxypropyl methylcellulose (HPMC) improves the pressure bleeding rate of mortar significantly compared to seaweed gum, it leads to a significant delay in the setting time and a decrease in mortar strength. Welan gum (WG) has a minor impact on grouting materials' setting time and strength, and its water retention performance is similar to that of HPMC. However, WG is expensive and causes significant fluidity loss of slurry over time. On the other hand, seaweed gum demonstrates comprehensive advantages in enhancing various aspects of shield grouting materials, exhibiting good anti-blocking and anti-seepage effects. For its calcium-induced gelation property, seaweed gum forms an orderly screen structure of an “egg-box” shape in the pore liquid, then fills the pores between the screens through the film effect of the gel. Finally, the gels form a “screen-printing-like” overall effect, so that seaweed gum has the three-dimensional space network effect as WG and the film forming effect as that of HPMC, which can significantly improve the stability of the grouting material. Therefore, seaweed gum has almost no adverse impact on the strength of shield grouting material but has a relatively lower price.

Solid polymer electrolytes: Ion conduction mechanisms and enhancement strategies

Solid polymer electrolytes (SPEs) possess comprehensive advantages such as high flexibility, low interfacial resistance with the electrodes, excellent film-forming ability, and low price, however, their applications in solid-state batteries are mainly hindered by the insufficient ionic conductivity especially below the melting temperatures, etc. To improve the ion conduction capability and other properties, a variety of modification strategies have been exploited. In this review article, we scrutinize the structure characteristics and the ion transfer behaviors of the SPEs (and their composites) and then disclose the ion conduction mechanisms. The ion transport involves the ion hopping and the polymer segmental motion, and the improvement in the ionic conductivity is mainly attributed to the increase of the concentration and mobility of the charge carriers and the construction of fast-ion pathways. Furthermore, the recent advances on the modification strategies of the SPEs to enhance the ion conduction from copolymer structure design to lithium salt exploitation, additive engineering, and electrolyte micromorphology adjustion are summarized. This article intends to give a comprehensive, systemic, and profound understanding of the ion conduction and enhancement mechanisms of the SPEs for their viable applications in solid-state batteries with high safety and energy density.

Effect of Surfactant Formula on the Film Forming Capacity, Wettability, and Preservation Properties of Electrically Sprayed Sodium Alginate Coats.

Surfactants are always added to coating formulations to ensure good adhesion of edible coatings to a product's surface and to maintain freshness. In this study, the effects of the mix surfactants Tween 20 and Span 80 with different hydrophile-lipophile balance (HLB) values on the film-forming ability, wettability, and preservation capacity of blueberry sodium alginate coating were investigated. The results indicated that Tween 20 obviously ensured favorable wettability and improved the uniformity and mechanical properties of the resulting film. While the addition of Span 80 reduced the mean particle size of the coating, enhanced the water resistance of the film, and helped to reduce blueberry weight loss. A sodium alginate coating with low viscosity and medium HLB could better inhibit the galactose, sucrose, and linoleic acid metabolism of blueberries, reduce the consumption of phenols, promote the accumulation of flavonoids, and thus display superior coating performance. In summary, sodium alginate coating with medium HLB had comprehensive advantages in film-forming ability and wettability and was conducive to the fresh-keeping role.

Moringa oleifera A Boon in Pharmaceutical Market

Moringa has majorly antifungal, antiviral, antidepressant, and anti-inflammatory properties. This article briefly discusses the incorporation of M. species in a formulation and comprehensive advantages of the same. The aim of this review is to focus the use of Moringa oleifera as a potential ingredient in food products. Moringa oleifera is recognized as an excellent source of phytochemicals, with potential applications in functional and medicinal food preparations due to its nutritional and medicinal properties.

Color design of modern architectural interior space based on environmental psychology

Abstract Due to the diversified development trend of modern architectural design, the functional design and application of houses are being presented in the interior space color layout of houses with its many advantages of interactivity, comprehensiveness, multi-functionality, and personalization. With this as the starting point, this paper analyzes the psychological perception of survey respondents on the same spatial color through big data, converts the perception into EEG signal for decoding, and after the decoding process of EEG data pre-processing, feature extraction, feature identification, and classification, calculates the significance of each element in the time-frequency matrix, which can get a homo-dimensional mask matrix. Then the conditional random field model is established on the random field theory to get the parameters of the model. Finally, the parameters of the model are obtained by maximizing the following entropy function, which is brought into the Lagrangian operator to obtain the pairwise Lagrangian operator. Finally, the EEG signal is decoded to realize the self-control training of color perception under different mentalities. The experimental results showed that by performing the intervention test on self-control and color insight, the mean value of the total self-control score in training was 61.99±11.45, and the intervention effect had stability. Therefore, improving self-control ability and forming correct tendency psychological perception plays a vital role in the color design of architectural space.

The self-control training method of vocal performance teaching in a new media environment

Abstract Due to the diverse development trend of modern media, new media arts and applications are being presented in the field of vocal performance teaching with its many advantages of interactivity, immediacy, sharing, comprehensiveness, versatility, community, and personalization. In this paper, by decoding the EEG signal, through the decoding process of EEG data pre-processing, feature extraction, feature identification, and classification, and calculating the significance of each element in the time-frequency matrix, an iso-dimensional mask matrix can be obtained. Then the conditional random field model is established on the random field theory to get the parameters of the model. Finally, the parameters of the model are obtained by maximizing the following entropy function, which is brought into the Lagrangian operator to obtain the pairwise Lagrangian operator. Finally, the EEG signal is decoded to realize the self-control training of vocal performance teaching in the new media environment. The experimental results show that by conducting the intervention test on self-control and vocal performance insight, the mean value of the total self-control score in self-control training is 61.99±11.45, and the intervention effect has stability. Therefore, improving self-control, forming correct expressions and forms, and enriching emotions are important for vocal performance.

LVMH Strategy and Financial Analysis of LVMH Group

In the current environment of economic downturn, frequent regional conflicts and continuous impact of COVID-19, the luxury industry and fashion industry are also expanding with the trend of The Times. These industries have their own unique judgment on the current situation, and their strategic layout is constantly updated and changed with a deeper understanding of the situation and more accurate judgment. Through corporate strategy and financial indicators, this paper analyzes how LVMH Group, as a leader in the luxury industry and fashion industry, avoids risks in the face of multiple difficulties, carries out self-transformation and innovation, constantly realizes the digital transformation of LVMH enterprises, highlights and gives play to its comprehensive advantages, and implements merger and acquisition strategy to increase the company's profits. The analysis of the company can reflect from the side how the luxury industry and fashion industry promote consumption and economic development through their own strength under the current situation.

Development of a software tool for economic evaluation of health, safety, and environmental initiatives in a combined cycle power plant

Background: This study aimed to provide a comprehensive tool for the economic evaluation of investments in health, safety, and environment (HSE). Methods: This developmental cross-sectional study was conducted on the costs and benefits of HSE investments in a combined cycle power plant in Gilan province, 2021. The components of preventive measure costs (PMCs) and occupational accidents, diseases, and environmental pollution costs (ADPCs) were determined by an expert panel and review of scientific literature. The HSE economic assessment tool (HSE-EAT) was developed in Microsoft Excel software using macro/visual basic coding. The tool was designed to determine the efficient measures using the cost-benefit analysis (CBA) and the combination of control measures with the highest financial benefits using the cost-effectiveness analysis (CEA). Results: The application of the HSE-EAT in a combined cycle power plant showed the highest return on investment (ROI) for installation of drains for ducts of diesel fuel pipes and the lowest ROI value for renovation of emergency eyewash and shower. The ratio of indirect to direct benefits of implementing the preventive measures in the worst-case and best-case scenarios were 3.0 and 1.3, respectively. Conclusion: The HSE-EAT exhibited the advantages of comprehensiveness, flexibility, being user-friendly, and faster and more accurate calculations and could be also used for economic evaluation of health, safety and environmental initiatives in other industries and organizations.

Cannabidiol-Decorated Berberine-Loaded Microemulsions Improve IBS-D Therapy Through Ketogenic Diet-Induced Cannabidiol Receptors Overexpression.

Berberine (BR) shows promise as a candidate for treating irritable bowel syndrome with diarrhea (IBS-D). However, the undesired physicochemical properties and poor oral absorption limit its clinical translation. A ketogenic diet (KD) can induce intestinal overexpression of cannabidiol (CB) receptors, which may offer a potential target for IBS-D-specific delivery of BR. The microemulsions loaded with BR and decorated with cannabidiol (CBD/BR-MEs) were developed through a one-step emulsion method. The pharmaceutical behaviors of the CBD/BR-MEs were measured using dynamic light scattering and high-performance liquid chromatography. The efficacy of the anti-IBS-D therapy was evaluated by assessing fecal water content, Bristol score, and AWR score. The intestinal permeability were assessed through immunofluorescent staining of CB1 and ZO-1, respectively. The signaling of CREB/BDNF/c-Fos was also studied along with immunofluorescent and immunohistochemical examination of brain sections. The CBD/BR-MEs, which had a particle size of approximately 30 nm and a surface density of 2% (wt%) CBD, achieved greater than 80% (wt%) encapsulation efficiency of BR. The pharmacokinetics performance of CBD/BR-MEs was significantly improved in the KD-fed IBS-D rats than the standard diet-fed ones, which is highly related to intestinal expression of CB1 receptors. The treatment with CBD/BR-MEs and KD exhibited evident comprehensive advantages over the other groups in terms of anti-IBS-D efficacy. CBD/BR-MEs and KD synergistically decreased intestinal permeability. Moreover, the treatment with CBD/BR-MEs and KD not only blocked the CREB/BDNF/c-Fos signaling in the brain but also decreased the levels of neurotrophic factors, neurotransmitters, and inflammatory cytokines in the serum of IBS-D model rats. Such a design represents the first attempt at IBS-D-targeted drug delivery for improved oral absorption and efficacy through KD-induced target exposure, which holds promising potential for the treatment of IBS-D.

Qualitative and quantitative evaluation of a standardized training model for improving patients' ability to use inhalers.

Training contributes to the effectiveness of aerosol inhalation therapy. However, qualitative and quantitative evaluation of effective training methods is rarely reported. This study aimed to evaluate the effectiveness of a standardized training model by pharmacists based on verbal instruction and physical demonstration in improving patients' ability to use inhalers using qualitative and quantitative methods. Risk or protective factors affecting correct inhaler use were also explored. 431 Outpatients with asthma or COPD were recruited and randomly divided into a standardized training group (n = 280) and a usual training group (control group, n = 151). A framework of qualitative (e.g., multi-criteria analysis) and quantitative comparisons [percentage of correct use (CU%), percentage of complete error (CE%), and percentage of partial error (PE%)] was established to evaluate the two training models. In addition, the changes of key factors (age, education level, adherence, device type, etc.) influencing patients' ability to use inhalers of two models were observed. The multi-criteria analysis showed that the standardized training model had comprehensive advantages in qualitative indicators. The average correct use percentage (CU%) of the standardized training group was significantly higher than that of the usual training group (77.6% vs. 35.5%). A stratified analysis further demonstrated that the ORs (95%CI) in the usual training group of age and educational level was 2.263 (1.165-4.398) and 0.556 (0.379-0.815), while in the standardized training group, age and educational level were not the key factors influencing the ability to use inhaler devices (P > 0.05). Logistic regression analysis demonstrated that standardized training was a protective factor for inhalation ability. These findings indicate that the framework of qualitative and quantitative comparisons could be used to evaluate training models, and the standardized training model by pharmacists can significantly improve patients' ability to use inhalers correctly and address the influence of older age and lower education because of its methodological advantages. Further studies with more extended follow-up are needed to validate the role of the standardized training model by pharmacists in the correct use of inhalers. chictr.org.cn, ChiCTR2100043592 (23-02-2021).

Bifunctional covalent triazine frameworks based on Ti-ON bonds for micropollutants removal: Effects of 3D extended structure and electron transport bridges

Adsorption-photocatalysis technology enables the enrichment of pollutants and the regeneration of materials, which is expected to control long-lasting organic micropollutants (OMPs) in water. In particular, taking the comprehensive advantages of composites to simultaneously improve the adsorption and photocatalytic performance is currently worth considering. Therefore, a kind of Ti/MDCTF composite with specific and strong chemical bonds (Ti-ON bonds) was synthesized by a facile approach. Compared with pristine MDCTF, 30 %-Ti/MDCTF showed an increased saturated adsorption capacity (440.56 μmol/g) and a 5.6-fold increase in photocatalytic degradation kinetic (0.315 h−1). It was comfirmed by homogenous surface diffusion model (HSDM) that the adsorption kinetics were controlled by the intra-particle diffusion. Additionally, 30 %-Ti/MDCTF exhibited a high photocatalytic regeneration efficiency (91.7 %) after 7 rounds of degradation cycles in the natural water matrix. Experimental results and theoretical analysis collaboratively showed that the porous 3D extended structure with expanded interlayer spacing promoted the mass transfer and adsorption of OMPs. Furthermore, the Ti-ON bonds acting as electron transport bridges could promote the generation of photogenerated electrons from CTF and directional movement of them to TiO2 for efficient utilization. These findings reinforce the understanding of the adsorption-promoted 3D structure and site-specific regulation of directed electron-feeding, providing a feasible and convenient solution for the removal of OMPs in water.