Maximum Increase Research Articles

Enhancing nutrient uptake efficiency in Zea mays: the role of plant growth-promoting bacteria in modifying root characteristics and mobilizing soil nutrients.

The use of plant growth-promoting bacteria (PGPB) is a promising approach to improving crop nutrient management. This study used multiple biological nutrient indicators to identify efficient PGPB strains and to investigate their impacts on soil nutrient dynamics, crop growth, and nutrient uptake during the critical growth stages of Zea mays. Two high-performing PGPB strains were selected based on their phosphate solubilization and growth-promotion potential. Pot experiments revealed that these strains enhanced soil nutrient characteristics significantly, including soil organic matter, alkaline-hydrolyzable N, and available K, thereby improving nutrient availability. In Z. mays, these strains increased total root length, root diameter, and number of root tips markedly, expanding the root system's nutrient absorption capacity. Without phosphorus (P) fertilizer, nitrogen uptake efficiency (NUE) and potassium uptake efficiency (KUE) increased by up to 34% and 25.43%, respectively, compared to the control. With P fertilizer, the maximum increases were 65.37% and 33.33%. In the absence of P fertilizer, combined inoculation enhanced nutrient uptake efficiency more than single inoculation (T1, T2), with NUE increasing by 14.04% and 10.29%, and KUE by 9.61% and 7.35%, respectively. Both single and combined PGPB inoculations effectively enhanced Z. mays root architecture and activated essential soil nutrients, highlighting their potential in a sustainable approach to improve nutrient management and crop productivity. © 2025 Society of Chemical Industry.

Analysis of deformation and induced stress fields in wells during water flooding operations of carbonate reservoirs

In this study, deformation curves and induced stress changes around injection wells, before and after the water flooding process, have been investigated in the Asmari carbonate reservoirs of the Ahvaz oil field, located in the southwest of Iran. To achieve this, two types of tests were conducted on six carbonate core samples from the reservoir: (1) flooding device test and (2) triaxial compressive test. The results of these experiments revealed that Mohr’s circles, deformation curves, and induced stresses around the injection well were affected by the water flooding process. By utilizing flooding devices and triaxial testing, as well as intergating their results, changes in parameters, geomechanical coefficients, and Mohr’s circles were analyzed for all six carbonate core samples. The analysis was based on the Hooke-Brown and Mohr-Coulomb failure criteria under both natural production conditions and during production. In the current study, a novel and sequential approach was employed to integrate data collected before and after the water flooding process, including full set log data, results from water flooding and triaxial tests, and the experimental data from water flooding operations in the carbonate reservoir of the Ahvaz field. Using MATLAB software, the induced stresses around the injection well were simulated and analyzed through three-dimensional diagrams. The findings demonstrated that after water flooding and the associated pressure increase, the induced stresses around the injection well—namely vertical, radial, and tangential stresses—undergo significant alterations. Before the water flooding process, the maximum stresses for the three carbonate core samples were approximately 68, 91, and 107 MPa, respectively. Following the water flooding process, these values increased to approximately 94, 118, and 142 MPa, respectively. The results reveal that, following the water flooding process, the minimum stress remains unchanged while the maximum stress increases. Consequentially, Mohr’s circle becomes larger compared to the initial state.

Sulfonamide metabolites enhance resistance transmission via conjugative transfer pathways.

Sulfonamide metabolites enhance resistance transmission via conjugative transfer pathways.

Influence of γ irradiation on the physicochemical properties of tapioca granular starch-ascorbyl palmitate complexes.

Influence of γ irradiation on the physicochemical properties of tapioca granular starch-ascorbyl palmitate complexes.

KEIO knockout collection reveals metabolomic crosstalk in Chlorella spp.-Escherichia coli co-cultures.

The interdependence between microalgae and bacteria has sparked scientific interest over years, primarily driven by the practical applications of microalgal-bacteria consortia in wastewater treatment and algal biofuel production. Although adequate studies have focused on the broad interactions and general behavior between the two entities, there remains a scarcity of study on the metabolic role of symbiotic bacteria in promoting microalgal growth. Here, we use the KEIO Knockout Collection, an Escherichia coli gene knockout mutant library, to systematically screen for genes involved in the interdependence of Chlorella sorokiniana and E. coli. By co-cultivating C. sorokiniana and E. coli knockout mutants in 96-well microplates (200 μL medium per well) under white light at 25°C, 31 potential algal growth-promoting and 56 growth-inhibiting genes out of 3985 genes were identified that enhanced (≥1.25-fold) and diminished (≤0.8-fold) the production of algal chlorophyll-a content, respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) mapping of these growth-regulating genes suggested a metabolic symbiosis involving bacteria-derived cobalamin (cobU, cobC), biotin (bioB, bioF, bioC, bioD, fabF, fabH), riboflavin (fbp, guaB, gnd, guaA, zwf, purA), and 2,3-butanediol (fumB, adhE, mdh, frdB, pta, sdhC). The effects of these metabolites were further validated by supplementing the agents into the axenic algal cultures; Dose-dependent trends were observed for each metabolite, with a maximum four-fold increase in algal biomass productivity over the control. The specific growth rate of algae was increased by ≥1.27-fold and doubling time was shortened by ≥22.5%. The present results, obtained through genome-wide analyses of interdependence between microalgae and bacteria, reveals multiple interactions between organisms via metabolites.

Effectiveness of Timely Isolation of Patients with Respiratory Infection in a Children's Hospital: a Simulation Study

Relevance. Hospital-acquired acute respiratory viral infections (ARVI) are a significant cause of high morbidity in pediatric hospitals, especially in departments for small children. To control HCAI, there is still a need for evidence-based anti-epidemic and preventive measures. Mathematical modeling is known to be an attractive approach for objectively assessing infection control measures. In this study, we demonstrate effectiveness of timely isolation of the source of respiratory infection (i.e. an infected individuals) which might be revealed in a large pediatric hospital.Materials & Methods. We developed an agent-based model of the spread of nosocomial respiratory infection to assess the effectiveness of timely isolation of patients with ARVI. Primary data on the incidence of ARVI, the number of beds, and the frequency of infection in a multidisciplinary non-infectious children's hospital at the regional level were used. The model also implements the ability of the agent to change the department. To simulate the anti-epidemic measure, we included in the developed simulation model the execution of a local algorithm of actions by a doctor in the event of detection of a patient with ARVI (50% probability of non-compliance with isolation; almost all sources of infection are isolated; 100% decision-making, the ideal option).Results. The maximum absolute daily increase in ARVI cases were observed in scenarios where the rules for isolating the source of infection were violated; here the median equaled 32.9 (IQR 32.4-33.4) cases, ranging from 4.0 to 34.8 cases. With an increase in the probability of isolating a patient with ARVI, the indicator decreased: with a 50% probability of isolating the source, the median was 5.7 (5-6.5); 90% probability – 3.1 (2.8-3.6); 100% probability – 2.9 (2.6-3.4) cases. According to model estimates, when comparing the departments over time, we noted their unequal involvement in the epidemic process and wave-like spread of infection. Statistically significant differences in the predicted number of ARVI cases with different probabilities of isolation were revealed.Conclusion. We used a simulation agent-based approach to modeling nosocomial ARVI. This allowed us to correctly describe the spread of infection among patients in a children's hospital, as well as to assess the effectiveness of timely isolation of the source of infection. In our model, we took into account various options for the interaction of agents with each other. In addition, we fit importations of the infection and studied how they could facilitate the spread of the infection. The solid evidence was obtained of the effectiveness of timely isolation of the source of infection identified in healthcare settings, which can be used to justify control measures.

Your C-Arm May Be Dose Optimised but Is Your Surgical Procedure? The Evaluation and Dose Optimisation of Positioning Aids Used in Paediatric Image Guided Surgery.

Positioning aids are frequently used in image guided surgery (IGS). This study evaluates the impact of positioning aids on radiation dose and image quality (IQ) in IGS and the potential for dose optimised imaging via the choice of positioning aid type selected for clinical use. Foam and gel positioning aids were evaluated in this study. Anthropomorphic phantoms were used to simulate clinically relevant procedures. Patient and staff radiation exposure were estimated via incident air kerma rate and scatter dose rate measurements, respectively. Perspex phantoms were used to assess the impact of the positioning aid location within the field of view (FOV) on radiation dose, via the reference entrance point air kerma rate displayed on the C-arm. IQ was analysed objectively via contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) measurements. An average dose rate reduction of 24% and 27% were measured for the simulated patient and surgeon locations, respectively, when gel was replaced with foam, over all anthropomorphic phantom sizes and procedures. A maximum increase in dose rate of 3% for foam and 57% for gel were calculated with a change in positioning aid location within the FOV. In most instances, an improvement in CNR and SNR was observed with the replacement of gel with foam positioning aids. The present study demonstrates that the choice of positioning aids used in IGS can significantly impact radiation dose and IQ. With collaboration between radiographers and the perioperative team, it is recommended sites optimise their selection of positioning aids in IGS.

Spatio-temporal trends and resilience of forests in central India: insights from vegetation, temperature, and rainfall dynamics (2001-2023).

Natural Vegetation is a key component of the ecological system and is involved in regulating various biogeochemical cycles. Analysis of spatio-temporal trends in vegetation dynamics is crucial to ensure the sustainability of the environment and the safety of biodiversity of the region. Studying forest trends helps us understand the impact of changing climate on forests. The study aims to (a) analyse spatio-temporal dynamics and trends in vegetation vigour, temperature, and rainfall dynamics in Madhya Pradesh (MP) and Chhattisgarh (CG) states in Central India, (b) identify significant change breakpoints within the study region, (c) compare trend results from EVI and NDVI, and (d) analyse the relationship between vegetation trends with temperature and rainfall. Several normalized indices and reanalysis products were utilized to study vegetation trends from 2001 to 2023, and Theil Sen Median Trend test, Man Kendall test, and Pettitt change point detection methods were used. Findings reveal that the majority of the forest area in MP exhibits a positive trend (~ 94%in EVI and ~ 95.5% in NDVI) while a negative trend is minimal (~ 6% and 4.5% in EVI and NDVI respectively). Specifically, the northern part of MP demonstrates a pronounced positive trend. In Chhattisgarh, ~ 92% of the forest area indicates a positive trend, with the remaining ~ 8% displaying a negative trend. The validation of results using Google Earth showed that EVI captures the trend more significantly than NDVI, where vegetation is sparse. Pettitt Change Point detection suggests that the most significant positive changes in EVI occurred between 2015 and 2020 in MP, while in CG, the maximum increase in greenery transpired between 2011 and 2015. The outcomes underscore the resilience of forests to evolving climatic conditions and provide valuable insights into the sustainability of their ecological and biological integrity.

Artificial Neural Network Modeling of Mechanical Properties of 3D-Printed Polyamide 12 and Its Fiber-Reinforced Composites.

Fused filament fabrication (FFF) has recently emerged as a sustainable digital manufacturing technology to fabricate polymer composite parts with complex structures and minimal waste. However, FFF-printed composite parts frequently exhibit heterogeneous structures with low mechanical properties. To manufacture high-end parts with good mechanical properties, advanced predictive tools are required. In this paper, Artificial Neural Network (ANN) models were developed to evaluate the mechanical properties of 3D-printed polyamide 12 (PA) and carbon fiber (CF) and glass fiber (GF) reinforced PA composites. Tensile samples were fabricated by FFF, considering two input parameters, such as printing orientation and infill density, and tested to determine the mechanical properties. Then, single- and multi-target ANN models were trained using the forward propagation Levenberg-Marquardt algorithm. Post-training performance analysis indicated that the ANN models work efficiently and accurately in predicting Young's modulus and tensile strength of the 3D-printed PA and fiber-reinforced PA composites, with most relative errors being far less than 5%. In terms of mechanical properties, such as Young's modulus and tensile strength, the 3D-printed composites outperform the unreinforced PA. Printing PA composites with 0° orientation and 100% infill density results in a maximum increase in Young's modulus (up to 98% for CF/PA and 32% for GF/PA) and tensile strength (up to 36% for CF/PA and 18% for GF/PA) compared to the unreinforced PA. This study underscores the potential of the ANN models to predict the mechanical properties of 3D-printed parts, enhancing the use of 3D-printed PA composite components in structural applications.

43 G>T polymorphism in the sucrase-isomaltase gene in the Chinese population prevents the glucose-lowering effect of acarbose.

43 G>T polymorphism in the sucrase-isomaltase gene in the Chinese population prevents the glucose-lowering effect of acarbose.

Turbulent dispersion of particulates in the Ahmed body wake and effects of moving ground

This study investigates the influence of wind tunnel ground conditions on smoke particle dispersion and concentration fields in the near wake of a simplified vehicle model (Ahmed body). The effects of wind tunnel ground conditions are investigated with the implementation of a rolling road and boundary layer suction system inside the wind tunnel. In experiments, smoke particles were released from a source and illuminated with a laser sheet. The concentration of smoke particles was measured using a Mie-scattering-based concentration measurement technique. Concentration fields and particle dispersion were measured at six downstream positions in the near wake of Ahmed body at Rel=1.21×105 (based on model length). The concentration fields obtained were used to calculate dispersion parameters, such as the smoke spread in vertical (Sy) and lateral (Sz) directions. The findings indicate that the concentration fields and dispersion parameters in the near wake are highly dependent on the wind tunnel ground conditions. Particularly enhancing vertical spread under stationary ground conditions while showing minimal effect on lateral spread. It was observed that the maximum increase in the vertical spread is ≈29% for the stationary case. Notably, the lateral spread (Sz) is consistently greater than the vertical spread (Sy), regardless of downstream location or ground condition. The results underscore the critical influence of the correct choice of wind tunnel ground conditions in dispersion studies.

A novel variable pitch control strategy to improve the aerodynamics of vertical axis wind turbine

The low efficiency and complex aerodynamic characteristics of vertical-axis wind turbines (VAWTs) have limited their industrial development and application. An active variable pitch method can improve the aerodynamic performance of VAWTs, and different pitch control strategies yield varying improvements. In this study, a novel pitch control strategy for constant blade angle of attack (AoA) has been proposed to improve the aerodynamic performance of Darrieus H-type VAWTs. Numerical simulations have been performed to investigate the performance of this pitch control strategy by using the computational fluid dynamics (CFD) method based on an in-house Navier–Stokes (N–S) equations solver. The turbulence model is the k−ω shear stress transport (SST) model. The inviscid spatial discretization scheme is the fifth-order modified weighted essentially non-oscillatory (WENO-Z) scheme. The effect of pitch control factor κ and amplitude angle A of this novel pitch control strategy on the power coefficient Cp, instantaneous torque coefficient CT of single blade and flow fields has been investigated from a low tip speed ratio (TSR) of 1.44 to high TSR of 3.3. The extensive studies show that this novel pitch control strategy can effectively improve the aerodynamic performance of VAWTs, especially at relatively low TSRs, and the optimal values of κ and A are 3° and 14°, respectively. The maximum absolute increase in power coefficient Cp can reach 0.2444 at TSR of 1.68, and the average absolute increase for all TSRs is 0.1346.

Unraveling tetracycline and its degradation product: Induction mechanisms of antibiotic resistance in Escherichia coli.

Unraveling tetracycline and its degradation product: Induction mechanisms of antibiotic resistance in Escherichia coli.

The Impact of Anomalous Biomass Burning on Phytoplankton and Surface Ocean Carbon Pool in the Indo‐China Peninsula

AbstractThe ocean carbon sink plays a pivotal role in absorbing carbon dioxide and combating climate change. By utilizing satellite data, this study identified an exceptionally severe biomass burning event in the Indo‐China Peninsula on 31 March 2020. This incident engulfed most of the island, with a total of 3,550 fires, representing the highest number of fire points from 2015 to 2023. Furthermore, this abnormal burning released 5.71 × 109 kg of carbon dioxide in the dense fire area, accompanied by smoke aerosols that were rich in nutrients and carbon. These smoke aerosols were transported to the western Pacific Ocean by the subtropical high boundary stream. Upon deposition into the ocean, the smoke aerosols triggered a maximum increase of 314% in chlorophyll a concentration, as compared to the average for April 2020. This significant stimulation of phytoplankton growth indirectly contributed to the expansion of the surface ocean carbon pool. During their deposition, carbon export through the biological pump mechanism was 3.13 ± 1.27 × 108 kg. Although anomalous wildfires emitted more smoke aerosols, there was no significant increase in ocean carbon export. Ultimately, the response of the surface ocean carbon pool to the influence of smoke aerosols partially offset about 20.06 ± 7.51% of the carbon emissions. Additionally, smoke aerosols directly increased the surface ocean carbon pool by 2.64 × 107 kg through their own carbon deposition mechanism. Our study demonstrated that the ocean's capacity for carbon uptake is constrained. The carbon dioxide emissions from anomalous biomass burning events significantly surpass those that the ocean can effectively assimilate.

Агроэкологическая оценка применения регулятора роста при возделывании ярового рапса и подсолнечника в южной части Нечерноземной зоны

The article presents the results of comprehensive studies and scientifically substantiated, experimentally confirmed the use of the Larixifol growth regulator, VE, optimization of the pro-duction process, the formation of yield of spring rapeseed and sunflower, taking into account the agroclimatic conditions of the Korablinsky district of the Ryazan region. The maximum increase in the yield of green rapeseed mass was obtained using a growth regulator in a dosage of 150 ml/ha and amounted to 29.1 c/ha (+ 11.6%). The maximum increase in rapeseed yield was ob-tained at a dosage of 150 ml/ha - 4.7 c/ha (18.1%). The research results showed that in order to improve the sowing qualities of seeds, as well as to increase the yield of spring rapeseed and sun-flower in the Ryazan region, it is recommended to carry out pre-sowing treatment of seeds and plants by vegetation with the growth regulator Larixifol, VE. Keywords: SPRING RAPESEED, SUNFLOWER, GROWTH REGULATOR, YIELD, SEED TREAT-MENT, QUALITY

Comparative analysis of LED priming effects on two medicinal lemon balm genotypes one and three weeks post-drought stress

BackgroundLight is essential for producing high-quality plants. The advancement of light-emitting diode technology has unlocked new opportunities for growing plants in controlled settings. In this study, the effects of light-emitting diodes priming and drought stress on some physiological and biochemical parameters were studied in two Melissa officinalis genotypes (Ilam and Isfahan) one and three weeks after drought stress. The experiments were conducted in a factorial arrangement within a completely randomized design with three replications.ResultsDrought stress reduced growth indicators such as fresh and dry weights of aerial parts, leaf number, and relative water content. Light-emitting diode priming relieved such reductions in both genotypes. The accumulation of phenolic compounds, anthocyanin, and levels of proline, along with the activity of the enzyme phenylalanine ammonia-lyase, increased under drought stress, with the maximum increase achieved under red + blue and blue light-emitting diode light-primed plants. Especially in the Ilam genotype, phenylalanine ammonia-lyase enzyme activities and the accumulation of phenolic compounds were remarkably enhanced by the use of red + blue light-emitting diode light. Also, abscisic acid showed higher values under drought stress and the highest in pre-treatments with red + blue and red light-emitting diodes.ConclusionThe effects of different treatments on the physiological indices showed that drought tolerance in Melissa officinalis was improved due to the priming of red + blue light-emitting diode in both genotypes. Thus, our results emphasized the use of light-emitting diode priming as a useful method to enhance the drought resistance of medicinal plants.

Cardiac effects of two hallucinogenic natural products, N,N-dimethyl-tryptamine and 5-methoxy-N,N-dimethyl-tryptamine

It is unclear whether hallucinogenic tryptamine derivatives namely N,N-dimethyl-tryptamine (DMT) and 5-methoxy-N,N-dimethyl-tryptamine (5-MeO-DMT) exert positive inotropic effects in the human heart. Therefore, we measured the inotropic effects of these drugs in isolated left and right atrial preparations of mice that overexpress human 5-HT4 receptors (5-HT4-TG) and preparations from wild type mice (WT). Moreover, we measured force of contraction in isolated right atrial preparations from adult patients, obtained in the process of open heart surgery due to severe coronary heart disease. DMT and 5-MeO-DMT augmented the force of contraction in isolated paced (1 Hz) left atrial preparations from 5-HT4-TG and raised the spontaneous beating rate of right atrial preparations from 5-HT4-TG. The drugs elevated force of contraction in paced (1 Hz) human right atrial muscle preparations. The maximum inotropic effects of DMT and 5-MeO-DMT were smaller at 10 µM (about 65%) than that of 1 µM 5-HT on the left atria from 5-HT4-TG. The maximum increase in the beating rate due to DMT and 5-MeO-DMT amounted 40 ± 5% of the effect of 5-HT on right atrial preparations from 5-HT4-TG (n = 5–6). DMT and 5-MeO-DMT were inactive in WT. The potency of 5-MeO-DMT to increase force of contraction could be increased by pre-treatment of human atrial preparations by the phosphodiesterase inhibitor cilostamide (1 µM). 5-MeO-DMT increased the phosphorylation state of phospholamban at serine 16 in isolated left atrial muscle strips of 5-HT4-TG. In summary, DMT and 5-MeO-DMT acted as partial agonists on human 5-HT4 receptors.

On the RF safety of titanium mesh head implants in 7 T MRI systems: an investigation.

Patients undergoing craniofacial surgery for skull reconstruction may have titanium mesh implants. The safety risks related to 7 T MRI with these patients are not well understood. This study investigates the RF heating of titanium mesh head implants at 7 T. A simulation model for a 7 T birdcage head coil was developed and validated against , 1 g-averaged specific absorption rate (SAR), and temperature measurements in the presence of a titanium mesh. Various mesh sizes and shapes at different angular positions were simulated to determine the worst-case scenario in a spherical phantom in addition to the effect of rounding the mesh edges. Full-wave electromagnetic and bioheat thermal simulations were conducted on anatomical human models. Preliminary results indicate an increase in the local SAR near the meshes depending on the shape, size, and location. The maximum absolute temperatures in the head were, on average, around 38.2°C after 15 min of RF power exposure, corresponding to 3.2 W/kg whole-head SAR without a titanium mesh implant. The maximum absolute temperatures did not significantly change after introducing the titanium mesh implants, and the highest temperature was 38.4°C, observed near the cerebellum and the facial muscles. The maximum local increase in temperature was observed at the vicinity of the mesh as 2.8°C. Finally, it was shown that large mesh implants can negatively impact field. Small rounded titanium mesh head implants can be generally safe for 7 T MRI scans under the standard guidelines. Avoiding sharp corners and edges may reduce the chances of RF safety risks.

Optimization Analysis of Parameters for Carbon Fiber Composite Sucker Rod Pumping Systems Based on Finite Element Method

Carbon fiber composite sucker rods represent a technological innovation in oil production systems, exhibiting excellent performance. This sucker rod not only improves oil production efficiency and reduces accidents, but also saves energy and lowers the operating costs of oil wells. However, the working conditions of the carbon fiber composite sucker rod oil extraction system are relatively complex. The carbon fiber composite sucker rod body adopts a symmetrical structure formed by one-time solidification of three layers of fiber (carbon/glass fiber) materials, requiring the use of steel sucker rods in combination, and the impact of various system parameters is not fully understood. This paper focuses on the carbon fiber composite sucker rod as the research object, analyzing the external loads of the carbon fiber composite sucker rod oil extraction system. It also establishes a mechanical model of carbon fiber composite sucker rods, adopts a new finite element modeling method for sucker rod pumping systems, conducts transient dynamic analysis on the lifting motion of carbon fiber composite sucker rods in oil wells, and optimizes system parameters. The example verifies the rationality and feasibility of the finite element model. The results show that the higher the dynamic viscosity of crude oil, the more polished rod dynamometer cars tend to approach a “parallelogram”, and the polished rod load becomes more stable during the lifting process. With larger strokes, the maximum polished rod load increases, the longitudinal vibration amplitude of the carbon fiber composite sucker rod increases, and the load variation becomes more unstable. As the number of strokes increases, the maximum polished rod load and the pump plunger stroke length both increase, leading to higher pump efficiency, but the fluctuation amplitude of the polished rod dynamometer cars also increases, which affects the stability of the sucker rod’s lifting motion. When the carbon fiber sucker rod ratio exceeds 0.5, the difference between the self-weight and polished rod load initially decreases, then increases. As the carbon fiber sucker rod ratio increases, the pump plunger stroke length gradually decreases, and pump efficiency declines.

Enhancing interface performance: Designing a novel energy‐absorbing coating for carbon fiber composites with brittle shells and flexible spherical cores

AbstractSurface modification of carbon fiber (CF) is one of the significant technical challenges for improving the interfacial properties of carbon fiber/polymer composites and thereby enhancing their mechanical properties. In light of the design principle of the core‐shell structure characterized by external rigidity and internal flexibility, this study probed into the potential interfacial mechanisms within carbon fiber composites, aiming to enhance their mechanical integration and overall performance. Through simple steps, polyurethane nanospheres were coated in silica and successfully deposited on the surface of carbon fibers, which maximizes the mechanical properties of carbon fiber composites without compromising their original strength. The results showed that compared with the composite material prepared from desized CF, the tensile strength of carbon fiber monofilament with successfully deposited PU‐SiO2 nanospheres on the surface was successfully maintained. This method resulted in a maximum increase of 40.45% in interlayer shear strength of the composite. The fracture mechanism of the composite under stress was elucidated through analyses of transverse and longitudinal fracture morphology, further advancing the interface theory of carbon fiber reinforced polymer (CFRP). This provides innovation for the design and development of non‐destructive carbon fiber surface modification technology.Highlights Novel energy‐absorbing coating for carbon fiber composites. Brittle shells with flexible spherical cores enhance interface performance. Coating design improves the mechanical properties of composites. Study demonstrates a significant impact on material durability. Potential applications in the aerospace and automotive industries.