Morphology Of Aggregates Research Articles

Identification and reconstruction of concrete mesostructure based on deep learning in artificial intelligence

• The accuracy of concrete image recognition is improved by improving the deep learning framework, providing the basis for 3D reconstruction as well as deep generative network applications. • The mesostructures of concrete similar to CT scanning result are established. • Meso models conforming to the characteristics of real aggregates are generated. The morphology and distribution of coarse aggregate are important factors that affect the concrete properties. This paper establishes two-dimensional and three-dimensional models of real coarse aggregate in concrete based on the computer vision method of in-depth learning and makes parameterized analysis. To improve the accuracy of identifying coarse aggregates, the data set construction method in the convolution neural network is improved, and the attention mechanism module is added. In the parameterized analysis, the random natural and recycled coarse aggregate models are generated using the deep generation network technology. The modeling method in this paper significantly improves the accuracy and efficiency of concrete meso -modeling, which provides a new idea for concrete meso -modeling.

Charge of Phospholipids Determines the Rate of Lysozyme Aggregation but Not the Structure and Toxicity of Amyloid Aggregates.

Biophysical properties of plasma membranes are determined by a chemical structure of phospholipids, including saturation of fatty acids and charge of polar heads of these molecules. Phospholipids not only determine fluidity and plasticity of membranes but also play an important role in abrupt aggregation of misfolded proteins. In this study, we investigate the role of the charge of the most abundant phospholipids in the plasma membrane on the aggregation properties of the lysozyme. We found that the charge of phospholipids determines the aggregation rate of lysozyme and the morphology of the protein aggregates. However, the secondary structure and toxicity of these protein specimens are determined by the chemical nature rather than the charge of phospholipids. These findings show that the charge of phospholipids can be a key factor that determines the stability and aggregation mechanism of amyloidogenic proteins.

Sparking Nano-Metals on a Surface of Polyethylene Terephthalate and Its Application: Anti-Coronavirus and Anti-Fogging Properties.

The nano-metal-treated PET films with anti-virus and anti-fogging ability were developed using sparking nano-metal particles of Ag, Zn, and Ti wires on polyethylene terephthalate (PET) films. Ag nanoparticles were detected on the PET surface, while a continuous aggregate morphology was observed with Zn and Ti sparking. The color of the Ag-PET films changed to brown with increasing repeat sparking times, but not with the Zn-PET and Ti-PET films. The water contact angle of the nano-metal-treated PET films decreased with increasing repeat sparking times. The RT-PCR anti-virus test confirmed the high anti-virus efficiency of the nano-metal-treated PET films due to the fine particle distribution, high polarity, and binding of the nano-metal ions to the coronavirus, which was destroyed by heat after UV irradiation. A highly transparent, anti-fogging, and anti-virus face shield was prepared using the Zn-PET film. Sparking was an effective technique to prepare the alternative anti-virus and anti-fogging films for medical biomaterial applications because of their low cost, convenience, and fast processing.

Sterilization studies of hydrogel nanocomposites designed for possible biomedical applications before in vivo research

This study emphasized the importance of hydrogel-based therapy in repairing cartilage tissue and discussed the nanoscopic requirements for the physical sterilization of hydrogels, which are repairable, biochemically compatible with cartilage structure, and shape memory under mechanical effects.The nanostructured and the shape memory hydrogel composites, previously designed, synthesized, and nano-structurally characterized by our group, were used as material in the present study. Samples are including poly(N,N-dimethylacrylamide) (poly (DMAA) chains, n-octadecyl acrylate (C18A) segments and with/without lauryl methacrylate (LM).The study consists of four main sections in which physical sterilization processes (with electromagnetic waves from low energy (UV) to high energy (X-ray and Gamma-ray) are applied, structural changes are determined at microscopic and nanoscopic scale, and biofilm formations in the mentioned hydrogel materials are evaluated.The present study investigated these hydrogels' potential as artificial cartilage or cartilage tissue scaffolds. To initiate in vivo studies, it was aimed to determine the most appropriate physical sterilization method.In the result of the study, the most convenient hydrogel sample for surgical (in vivo) research, the useful physical sterilization methods, and the ability to resist biofilm formation was determined for the sample of N:3, [DMMA/C18A/LM, (70/30/0.0) l (Pre stretching ratio) = 1.8]. UV applications were also determined as the most generally suitable sterilization method for these hydrogels. As the pre-stretching ratio increases, the emergence of more compact and globular nano formations in hydrogel structures also affects the bioactive properties. It was also shown that, with the help of the usage of energetic electromagnetic waves for sterilizations, the new 3D nano aggregation morphologies might be created in the hydrogel structures.

Role of stiffness and physico-chemical properties of tumour microenvironment on breast cancer cell stemness

Several physico-chemical properties of the tumour microenvironment (TME) are dysregulated during tumour progression, such as tissue stiffness, extracellular pH and interstitial fluid flow. Traditional preclinical models, although useful to study biological processes, do not provide sufficient control over these physico-chemical properties, hence limiting the understanding of cause-effect relationships between the TME and cancer cells. Breast cancer stem cells (B-CSCs), a dynamic population within the tumour, are known to affect tumour progression, metastasis and therapeutic resistance. With their emerging importance in disease physiology, it is essential to study the interplay between above-mentioned TME physico-chemical variables and B-CSC marker expression. In this work, 3D in vitro models with controlled physico-chemical properties (hydrogel stiffness and composition, perfusion, pH) were used to mimic normal and tumour breast tissue to study changes in proliferation, morphology and B-CSC population in two separate breast cancer cell lines (MCF-7 and MDA-MB 231). Cells encapsulated in alginate-gelatin hydrogels varying in stiffness (2-10 kPa), density and adhesion ligand (gelatin) were perfused (500 µL/min) for up to 14 days. Physiological (pH 7.4) and tumorigenic (pH 6.5) media were used to mimic changes in extracellular pH within the TME. We found that both cell lines have distinct responses to changes in physico-chemical factors in terms of proliferation, cell aggregates size and morphology. Most importantly, stiff and dense hydrogels (10 kPa) and acidic pH (6.5) play a key role in B-CSCs dynamics, increasing both epithelial (E-CSCs) and mesenchymal cancer stem cell (M-CSCs) marker expression, supporting direct impact of the physico-chemical microenvironment on disease onset and progression. Statement of significanceCurrently no studies evaluate the impact of physico-chemical properties of the tumour microenvironment on breast cancer stem cell (B-CSC) marker expression in a single in vitro model and at the same time. In this study, 3D in vitro models with varying stiffness, extracellular pH and fluid flow are used to recapitulate the breast tumour microenvironment to evaluate for the first time their direct effect on multiple breast cancer phenotypes: cell proliferation, cell aggregate size and shape, and B-CSC markers. Results suggest these models could open new ways of monitoring disease phenotypes, from the early-onset to progression, as well as being used as testing platforms for effective identification of specific phenotypes in the presence of relevant tumour physico-chemical microenvironment.

Power spectral density-based fractal analyses of sputtered yttria-stabilized zirconia thin films

This study provides information about the surface morphology of sputtered yttria-stabilized zirconia (YSZ) thin films from the atomic force microscope (AFM) spectral analyses using the power spectral density (PSD) function at varying annealing temperatures. Applying fractal and k-correlation fitting models to the PSD data, fractal dimension, Hurst exponent, correlation length, and equivalent root mean square roughness are quantified. The PSDs of the films exhibit an inverse power-law variation at high spatial frequency, which points to the existence of the fractal components in the film’s surface. The annealing temperatures up to 900 ∘C decreased fractal dimension from 2.60 to 2. The surface roughness increased from 0.10 to 13.92 nm and from 0.04 to 3.95 nm, obtained from the statistical analyses of AFM images and the k-correlation model. The films annealed from 500 ∘C to 800 ∘C showed fine grain size morphology with Hurst exponent values from 0.40 to 0.53, indicating a homogeneous spatial roughness distribution. While the film annealed at 900 ∘C exhibited large aggregate grains morphology. The growth of a sample annealed at the temperature of 900 ∘C is more likely to be ruled by the step-edge barrier-induced mound growth and inhomogeneous spatial distribution of roughness. In contrast, normal self-affine behaviour is observed at lower annealing temperatures.

Tunable microscopic aggregation morphology of α-Ni(OH)2 for enhanced photocatalytic degradation of fracturing flowback fluid with ozone synergy

In this study, hydrothermal synthesis was used to prepare α-Ni(OH)2, which is a steady-state photocatalytic material. Furthermore, ball milling was used for the 1:1 loading of α-Ni(OH)2 with nano-alumina (Al2O3), hexagonal boron nitride (h-BN), and activated carbon (AC). The performances of these four materials in the degradation of a fracturing flowback fluid were investigated under the synergistic catalytic effect of ozone. The results showed that under this effect, the α-Ni(OH)2/nano -Al2O3 photocatalyzed the formation of active hydroxyl radicals (·OH) and superoxide radicals (·O2−), which in turn degraded the return solution. Although ozone itself can spontaneously form certain ·OH and O2− in water, compared to α-Ni(OH)2, the nano- Al2O3 with a higher valence band of 0.2eV provided more active sites and better electron migration efficiency for the conversion of ozone, improving the conversion efficiency of this process (Figure 11). In addition, unlike the other two types of carriers, nano-Al2O3 could provide intergranular support for nanopillared α-Ni(OH)2, increasing the specific surface area and the number of active sites.

Effect of aggregate morphology characteristics on the voidage of aggregate loose packing based on 3D discrete element method

• The aggregate model with real morphology was generated by Clump method. • A 3D aggregate database considering real morphology was established. • The void spatial distribution of aggregate loose packing was studied. Reducing the voidage of aggregate loose packing can improve the workability of concrete, and aggregate morphology directly affects the voidage of aggregate loose packing. This paper combined 3D laser scanning and digital image processing (DIP) technology to perform statistical analysis on aggregate morphology characteristics such as sphericity, flatness, elongation and angularity index. A 3D aggregate database was built using the structured query language (SQL). On this basis, the discrete element model of loose packing was established by the gravity falling method (GFM), considering the natural morphology of aggregates; and the effect of aggregate morphology characteristics on the voidage and void spatial distribution of loose packing under different gradations was quantitatively studied. The results show that the voidage of aggregate loose packing decreases as aggregate sphericity increases and increases with the increase in angularity index. The effect of sphericity on the voidage of aggregate loose packing is about five times that of angularity index. In addition, the voidage in aggregate packing is arranged in Z-shape, and the larger the aggregate sphericity or, the smaller the angularity index, the more uniform the voids in the aggregate packing are distributed.

Artificial neural network modeling for predicting surface texture and its attenuation of micro-surfacing containing steel slag aggregates

• Artificial neural network models of micro-surfacing texture were established. • The effect of various factors on original texture and its attenuation were evaluated. • The traffic cycles and aggregate morphology has significant impact on surface texture. • Steel slag could improve the original texture and delay the attenuation of texture. For the research gap that the texture and its attenuation laws of micro-surfacing containing steel slag have not been considered, the objectives of this research were to establish the relationship between long-term texture features and engineering parameters using artificial neural network, and to determine the influence degree of each parameter. The results show that gradation and angularity are the most influential inputs for macro and micro-texture, respectively. The superior wear resistance of steel slag can delay the attenuation of micro-texture. The results of this study could provide alternatives to predict surface texture and offer sustainable way to recycle steel slag.

Cytotoxicity and Genotoxicity of Polystyrene Micro- and Nanoplastics with Different Size and Surface Modification in A549 Cells.

BackgroundMicro- and nano-sized plastics (MPs and NPs) have become an environmental issue of global concern due to their small size, strong bio-permeability and high specific surface area. However, few studies have assessed the effect of polystyrene MPs and NPs on human lung cells. In this research, we evaluated the cytotoxicity and genotoxicity of polystyrene (PS) MPs and NPs with different sizes (2 μm and 80 nm) and surface modification (carboxy and amino functionalized polystyrene, pristine polystyrene) in A549 cells.MethodsThe zeta potential and hydrodynamic particle size of five types of PS plastic solutions were measured by dynamic light scattering, and their morphology and degree of aggregation were observed by scanning electron microscopy. After incubation of the PS plastics with A549 cells, the uptake and toxicity of the cells were assessed by fluorescence microscopy, laser scanning confocal microscopy, flow cytometry, MTT, micronucleus formation assay, and reactive oxygen species.ResultsThe cytotoxicity and genotoxicity of A549 cells caused by nano-level PS is more serious than that of micro-level. Compared with unmodified PS-NPs, more surface-functionalized PS-NPs were found inside the cells, especially the accumulation of PS-NH2. Cell viability and the induction of micronuclei (MN) are appreciably impacted in a dose-dependent way. Compared with pristine PS-NPs, functionalized PS-NPs showed stronger cell viability inhibitory ability, and induced more MN scores.ConclusionThis study shows that the intrinsic size properties and surface modification of PS plastics, the interaction between PS plastics and the receiving medium, intracellular accumulation are critical factors for evaluating the toxicological influences of PS plastics on humans.

Seasonal changes in soil carbon storage capacity and glomalin-related soil protein under different agricultural activities, abandonment, and wildfire occurrence in Mediterranean region

Agricultural practices can directly affect soil environmental conditions and consequently soil ecosystems and fertility. Soils under different agricultural practices like tillage and grazing were studied and compared to other soils affected by wildfire and different ages of abandonment. Atmospheric CO 2 , soil C-CO 2 loss, soil temperature, soil moisture, bulk density, soil organic carbon (SOC), total nitrogen (TN), total phosphorus (TP), Redfield ratios of C:N:P, easily exactable and total glomalin-related soil protein (GRSP EE and GRSP T ), and morphology, quantity, and stability of soil aggregates (WSA) were seasonally analyzed. Statistical significance checked using the two-factor ANOVA. Intense tillage and wildfire occurrence revealed a deficiency in soil nutrients and fertility more than grazing practices. Steady soil fertility conditions occurred in soils preserved by fire and ancient abandonment. The GRSP seasonal means varied significantly among all soils because of land-use effects. GRSP T , SOC, TN, and TP increased from winter to spring and reached the highest values in summer then decreased again in autumn. GRSP was positively correlated (P < 0.01) with atmospheric CO 2 , SOC, TN, and TP with high peaks in summer indicating the dependent GRSP production on plant nutrients acquisition as well as soil carbon pools. Moreover, the correlation between GRSP and emitted C-CO 2 may indicate the contribution of GRSP fractions to the labile as well as the stable SOC fractions. The GRSP EE showed rapidly transformed into stable forms in more fertile and better-structured soils than in less fertile soils with vulnerable soil structures. In conclusion, the stoichiometric balance of soil nutrients, aggregate stability, and stabilized GRSP pools improved relatively across the seasonal rhythms from winter to summer. Moreover, environmental soil conditions developed to preserve organic carbon in soils with long abandonment than in mid abandonment, while the worst conditions were in the vulnerable soils intensively mismanaged and devastated by fire.

Adaptive classification of aggregate morphologies using clustering for investigation of correlation with contact characteristics of aggregates

• Clustering integrated with AP and K-means methods was used to classify aggregates in morphology. • Morphological label was developed to reflect the statistical distribution of the shape properties for an aggregate cluster. • The correlation between the composition of labeled aggregates and the contact characteristic of aggregates was studied. To investigate the mechanism of the influence of aggregate morphologies on the internal structure of asphalt mixtures, an accurate classification of aggregates in morphology using an integration of affinity propagation (AP) and K-means clustering is proposed. To achieve this goal, the similarities of aggregates in angularity, surface texture, and form were evaluated and then used in clustering. Furthermore, morphological labels for aggregate clusters were constructed to indicate major features of the shape of aggregates in a cluster from the statistical perspective. 2,766 coarse aggregates in three specimens were three-dimensionally (3-D) reconstructed and classified in three ways. Compared with two other ways, K-means clustering using the cluster centers derived from the AP method performs best in the qualitative indices including silhouette coefficient, Davies-Bouldin (DB) index, and the Dunn index. Furthermore, the correlation between the contact characteristic and the morphological grades of cluster labels in three specimens was analyzed, which shows that aggregates of cubic form, relatively rounded angularity with more fractured facets, and rich texture are more likely to have contact relations and larger contact regions. In addition, a pre-processing operation before clustering was adopted to reach a balance between the quality and efficiency of clustering. Therefore, the proposed method facilitates the optimization of the internal structure by the configuration of aggregate morphologies in future.

Synthesis of Chitosan Magnetic Nanoparticles using Glutaraldehyde and Tripolyphosphate as Crosslinker

Chitosan is an abundant natural polymer, which able to adsorb Pb2+. However, chitosan has the drawback of being unstable in acid and alkaline conditions, so it needs cross-linking. In this article, we will compare the usage of two crosslinkers, glutaraldehyde (GD) and tripolyphosphate (TPP), to solve these issues. The synthesis of chitosan magnetic nanoparticles was carried out by co-precipitation with the addition of glutaraldehyde under acidic conditions and the addition of TPP under alkaline conditions. The results showed that the FTIR spectrum gave characteristic bands at 3131.96 cm-1 (OH and NH), 1635.86 cm-1 (C=O), 1401.97 cm-1 (CN), ~1110 cm-1 (COC), and ~617 cm-1 (Fe-O). SEM analysis showed that the surface morphology of CMNP-GA particle aggregation was clear more than that of CMNP-TPP. The size of the synthesized nanoparticles was determined by PSA analysis, which was 131.95 µm and 137.10 µm, respectively. The results of the XRD analysis showed that, in addition to the Fe3O4 and chitosan phases, the produced CMNP also contained γFe2O3 phase, which was considered to be caused by Fe3O4 oxidation

Direct observation of heterogeneous formation of amyloid spherulites in real-time by super-resolution microscopy

Protein misfolding in the form of fibrils or spherulites is involved in a spectrum of pathological abnormalities. Our current understanding of protein aggregation mechanisms has primarily relied on the use of spectrometric methods to determine the average growth rates and diffraction-limited microscopes with low temporal resolution to observe the large-scale morphologies of intermediates. We developed a REal-time kinetics via binding and Photobleaching LOcalization Microscopy (REPLOM) super-resolution method to directly observe and quantify the existence and abundance of diverse aggregate morphologies of human insulin, below the diffraction limit and extract their heterogeneous growth kinetics. Our results revealed that even the growth of microscopically identical aggregates, e.g., amyloid spherulites, may follow distinct pathways. Specifically, spherulites do not exclusively grow isotropically but, surprisingly, may also grow anisotropically, following similar pathways as reported for minerals and polymers. Combining our technique with machine learning approaches, we associated growth rates to specific morphological transitions and provided energy barriers and the energy landscape at the level of single aggregate morphology. Our unifying framework for the detection and analysis of spherulite growth can be extended to other self-assembled systems characterized by a high degree of heterogeneity, disentangling the broad spectrum of diverse morphologies at the single-molecule level.

The intriguing dose-dependent effect of selected amphiphilic compounds on insulin amyloid aggregation: Focus on a cholesterol-based detergent, Chobimalt.

The amyloidogenic self-assembly of many peptides and proteins largely depends on external conditions. Among amyloid-prone proteins, insulin attracts attention because of its physiological and therapeutic importance. In the present work, the amyloid aggregation of insulin is studied in the presence of cholesterol-based detergent, Chobimalt. The strategy to elucidate the Chobimalt-induced effect on insulin fibrillogenesis is based on performing the concentration- and time-dependent analysis using a combination of different experimental techniques, such as ThT fluorescence assay, CD, AFM, SANS, and SAXS. While at the lowest Chobimalt concentration (0.1 µM; insulin to Chobimalt molar ratio of 1:0.004) the formation of insulin fibrils was not affected, the gradual increase of Chobimalt concentration (up to 100 µM; molar ratio of 1:4) led to a significant increase in ThT fluorescence, and the maximal ThT fluorescence was 3-4-fold higher than the control insulin fibril’s ThT fluorescence intensity. Kinetic studies confirm the dose-dependent experimental results. Depending on the concentration of Chobimalt, either (i) no effect is observed, or (ii) significantly, ∼10-times prolonged lag-phases accompanied by the substantial, ∼ 3-fold higher relative ThT fluorescence intensities at the steady-state phase are recorded. In addition, at certain concentrations of Chobimalt, changes in the elongation-phase are noticed. An increase in the Chobimalt concentrations also triggers the formation of insulin fibrils with sharply altered morphological appearance. The fibrils appear to be more flexible and wavy-like with a tendency to form circles. SANS and SAXS data also revealed the morphology changes of amyloid fibrils in the presence of Chobimalt. Amyloid aggregation requires the formation of unfolded intermediates, which subsequently generate amyloidogenic nuclei. We hypothesize that the different morphology of the formed insulin fibrils is the result of the gradual binding of Chobimalt to different binding sites on unfolded insulin. A similar explanation and the existence of such binding sites with different binding energies was shown previously for the nonionic detergent. Thus, the data also emphasize the importance of a protein partially-unfolded state which undergoes the process of fibrils formation; i.e., certain experimental conditions or the presence of additives may dramatically change not only kinetics but also the morphology of fibrillar aggregates.

Tunable Multicolor Circularly Polarized Luminescence via Co-assembly of One Chiral Electron Acceptor with Various Donors

Tunable Multicolor Circularly Polarized Luminescence via Co-assembly of One Chiral Electron Acceptor with Various Donors

On the Aggregation of Apolipoprotein A-I.

In vivo, apolipoprotein A-I (ApoA-I) is commonly found together with lipids in so-called lipoprotein particles. The protein has also been associated with several diseases—such as atherosclerosis and amyloidosis—where insoluble aggregates containing ApoA-I are deposited in various organs or arteries. The deposited ApoA-I has been found in the form of amyloid fibrils, suggesting that amyloid formation may be involved in the development of these diseases. In the present study we investigated ApoA-I aggregation into amyloid fibrils and other aggregate morphologies. We studied the aggregation of wildtype ApoA-I as well as a disease-associated mutant, ApoA-I K107Δ, under different solution conditions. The aggregation was followed using thioflavin T fluorescence intensity. For selected samples the aggregates formed were characterized in terms of size, secondary structure content, and morphology using circular dichroism spectroscopy, dynamic light scattering, atomic force microscopy and cryo transmission electron microscopy. We find that ApoA-I may form globular protein-only condensates, in which the α-helical conformation of the protein is retained. The protein in its unmodified form appears resistant to amyloid formation; however, the conversion into amyloid fibrils rich in β-sheet is facilitated by oxidation or mutation. In particular, the K107Δ mutant shows higher amyloid formation propensity, and the end state appears to be a co-existence of β-sheet rich amyloid fibrils and α-helix-rich condensates.

Side Chain Geometry Determines the Fibrillation Propensity of a Minimal Two-Beads-per-Residue Peptide Model.

The molecular mechanism of fibrillation is an important issue for understanding peptide aggregation. In our previous work, we demonstrated that the interchain attraction and intrachain bending stiffness control the aggregation kinetics and transient aggregate morphologies of a one-bead-per-residue implicit solvent peptide model. However, that model did not lead to fibrillation. In this work, we study the molecular origin of fibril formation using a two-beads-per-residue model, where one bead represents the backbone residue atoms and the other the side chain atoms. We show that the side chain geometry determines the fibrillation propensity that is further modulated by the modified terminal beads. This allows us to bring out the effects of side chain geometry and terminal capping on the fibrillation propensity. Our model does not assume a secondary structure and is, perhaps, the simplest bead-based chain model leading to fibrillation.

High Levels of Cyclic Diguanylate Interfere with Beneficial Bacterial Colonization.

ABSTRACTDuring colonization of the Hawaiian bobtail squid (Euprymna scolopes), Vibrio fischeri bacteria undergo a lifestyle transition from a planktonic motile state in the environment to a biofilm state in host mucus. Cyclic diguanylate (c-di-GMP) is a cytoplasmic signaling molecule that is important for regulating motility-biofilm transitions in many bacterial species. V. fischeri encodes 50 proteins predicted to synthesize and/or degrade c-di-GMP, but a role for c-di-GMP regulation during host colonization has not been investigated. We examined strains exhibiting either low or high levels of c-di-GMP during squid colonization and found that while a low-c-di-GMP strain had no colonization defect, a high c-di-GMP strain was severely impaired. Expression of a heterologous c-di-GMP phosphodiesterase restored colonization, demonstrating that the effect is due to high c-di-GMP levels. In the constitutive high-c-di-GMP state, colonizing V. fischeri exhibited reduced motility, altered biofilm aggregate morphology, and a regulatory interaction where transcription of one polysaccharide locus is inhibited by the presence of the other polysaccharide. Our results highlight the importance of proper c-di-GMP regulation during beneficial animal colonization, illustrate multiple pathways regulated by c-di-GMP in the host, and uncover an interplay of multiple exopolysaccharide systems in host-associated aggregates.

Asphalt Interface Based on Abaqus Asphalt Pavement Temperature Field and Aggregate Morphological Characteristics Measurement System

To reveal the adhesion behavior of the aggregate - asphalt interface under water-temperature coupling, the temperature field of the asphalt pavement was simulated and analyzed based on Abaqus, and the morphology of the aggregate was analyzed using the Aggregate Morphological Characteristic Measurement System (AIMS II) to investigate the adhesion behavior of the asphalt interface under water-temperature coupling. The Abaqus software was used to study the temperature distribution pattern of the pavement structure of the dependent project and to construct a regional characteristic distribution model for Zhejiang Province. On this basis, aggregate texture shaping equipment was developed, aggregate morphological characteristics were tested with the aid of the Aggregate Morphological Characteristics Inspection System (AIMS II), the water immersion weighing method was used to evaluate the aggregate - asphalt interface adhesion, and the relationship between aggregate morphological characteristics and macroscopic adhesion was established. The study shows that there is a linear negative correlation between sphericity and mass loss rate, a linear positive correlation between gradient angles and mass loss rate, and an optimum value for aggregate surface texture. Using a modified 'sandwich' pulling test, four lithologies of limestone, basalt, granite and sandstone were selected to investigate the effect of environmental factors such as water and temperature on the adhesion of the aggregate to the asphalt interface. The results showed that the interfacial bonding performance of the aggregate and asphalt increased as the heating temperature of the aggregate increased, while the interfacial bonding performance of the aggregate and asphalt weakened as the water immersion time increased. The research results have certain theoretical guidance significance for enhancing the water damage resistance of asphalt mixes.