Texture Function Research Articles

Relationship between Plant-Available Water and Soil Compaction in Brazilian Soils

The capacity of soil to retain water and make it available to plants is an essential soil functions for the sustainability of terrestrial ecosystems. A lot of progress has been made in estimating water retention and availability as a function of soil texture. On the other hand, a lower effort has been dedicated to seeking correlations between plant-available water (AW) and soil compaction. In this study, we compiled a dataset with 2479 records from experiments conducted in Brazilian soils to evaluate the relationship between AW and bulk density (BD). The dataset was split into sub-datasets defined by soil textural classes to reduce the effect of texture on AW–BD relationships. In each sub-dataset, AW–BD relationships were described by linear regression. In general, there was a weak association between AW and BD. The strongest correlations were found in the Silty Loam (R2 = 0.26) and Loam (R2 = 0.13) classes. However, the partitioning of the overall dataset by textural classes was not effective to eliminate the effect of texture on AW–BD relationships. Still, the data showed that soil compaction may increase or reduce AW. Nevertheless, more experimental research is needed to bring a better understanding of how AW is affected by changes in BD.

Sliding interface characteristics and self-lubrication mechanism of B4C-Al2O3 composite ceramics

B4C ceramics are an important structural material in the field of engineering. However, B4C ceramics have two fatal drawbacks: low fracture toughness and high friction coefficient. The design strategy and tribological mechanism of B4C ceramics with low friction are studied in this paper. The results show that the incorporation of Al2O3 as a second phase can not only increase the fracture toughness but also reduce the friction coefficient of B4C ceramics, achieving the self-lubrication of B4C ceramics. The low friction design strategy of B4C ceramics is realized by incorporating a second phase of Al2O3 to change the physical characteristic of the sliding surface. The sliding interface characteristic of in situ formed surface texture with an appropriate proportion of valleys in the sliding process is the most important factor for the improved tribological properties of B4C-Al2O3 composite ceramics. As the amount of Al2O3 incorporated is 30 wt%, B4C-Al2O3 composite ceramics have the most appropriate proportion of valleys in the surface texture, thus exhibiting the lowest friction coefficient. The clean phase boundary makes the bonding between B4C and Al2O3 grains firm, which is the key to achieving the function of the surface texture formed in situ. B4C-Al2O3 composite ceramics with both high fracture toughness and low friction coefficient will open a wider range of applications.

Classification of Lakebed Geologic Substrate in Autonomously Collected Benthic Imagery Using Machine Learning

Mapping benthic habitats with bathymetric, acoustic, and spectral data requires georeferenced ground-truth information about habitat types and characteristics. New technologies like autonomous underwater vehicles (AUVs) collect tens of thousands of images per mission making image-based ground truthing particularly attractive. Two types of machine learning (ML) models, random forest (RF) and deep neural network (DNN), were tested to determine whether ML models could serve as an accurate substitute for manual classification of AUV images for substrate type interpretation. RF models were trained to predict substrate class as a function of texture, edge, and intensity metrics (i.e., features) calculated for each image. Models were tested using a manually classified image dataset with 9-, 6-, and 2-class schemes based on the Coastal and Marine Ecological Classification Standard (CMECS). Results suggest that both RF and DNN models achieve comparable accuracies, with the 9-class models being least accurate (~73–78%) and the 2-class models being the most accurate (~95–96%). However, the DNN models were more efficient to train and apply because they did not require feature estimation before training or classification. Integrating ML models into benthic habitat mapping process can improve our ability to efficiently and accurately ground-truth large areas of benthic habitat using AUV or similar images.

Optical and Electromechanical Design and Implementation of an Advanced Multispectral Device to Capture Material Appearance.

The application of materials with changing visual properties with lighting and observation directions has found broad utility across diverse industries, from architecture and fashion to automotive and film production. The expanding array of applications and appearance reproduction requirements emphasizes the critical role of material appearance measurement and surface characterization. Such measurements offer twofold benefits in soft proofing and product quality control, reducing errors and material waste while providing objective quality assessment. Some image-based setups have been proposed to capture the appearance of material surfaces with spatial variations in visual properties in terms of Spatially Varying Bidirectional Reflectance Distribution Functions (SVBRDF) and Bidirectional Texture Functions (BTF). However, comprehensive exploration of optical design concerning spectral channels and per-pixel incident-reflection direction calculations, along with measurement validation, remains an unexplored domain within these systems. Therefore, we developed a novel advanced multispectral image-based device designed to measure SVBRDF and BTF, addressing these gaps in the existing literature. Central to this device is a novel rotation table as sample holder and passive multispectral imaging. In this paper, we present our compact multispectral image-based appearance measurement device, detailing its design, assembly, and optical considerations. Preliminary measurements showcase the device's potential in capturing angular and spectral data, promising valuable insights into material appearance properties.

Simulation and analysis of micro-textured rough curved surface based on fractal characterization method

PurposeMicro-texture is processed on the surface to reduce the friction of the contact surface, and its application is more and more extensive. The purpose of this paper is to create a texture function model to study the influence of surface parameters on the accuracy of the simulated surface so that it can more accurately reflect the characteristics of the real micro-textured surface.Design/methodology/approachThe microstructure function model of rough surfaces is established based on fractal geometry and polar coordinate theory. The offset angle θ is introduced into the fractal geometry function to make the surface asperity normal perpendicular to the tangent of the surface. The 2D and 3D contour surfaces of the surface groove texture are analyzed by MATLAB simulation. The effects of fractal parameters (D and G) and texture parameter h on the curvature of the surface micro-texture model were studied.FindingsThis paper more accurately characterizes the textured 3D curved surface, especially the surface curvature. The scale coefficient G significantly affects curvature, and the influence of fractal dimension D and texture parameters on curvature can be ignored.Originality/valueThe micro-texture model of the rough surface was successfully established, and the range of fractal parameters was determined. It provides a new method for the study of surface micro-texture tribology.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2023-0298/

Implementation of the meaning-formimg and organizing functions of the texture in the piano works of modern Ukrainian composers

Statement of the problem. Recent research and publications. Today the texture of a music work is not only a marker of an epochal style, but also, more than ever, of an individual style. Studying the principles of textural organization, understanding the specifics of the action of textural functions gives the performer the keys to deciphering the artistic intent of the work, the system of the composer’s style and finding the corresponding performance techniques. And in the conditions of the complex genre system of modern music, the texture is able to carry out the function of an interpretative guide to the heart of the composer’s idea, the author’s concept. The scientific works by such musicologists as H. Vinohradov (1977), I. Denysenko (2010), H. Ihnatchenko (1984), R. Kashyrtsev (2021), V. Moskalenko, V. Prykhodko (1997), H. Savchenko (2023), I. Tsurkanenko (1998), M. Chernyavska (2015a; 2015b), S. Shyp (1998), S. Shkoliarenko (2017) are devoted to the study of musical texture. A panoramic understanding of the development vectors of the doctrine of texture in the works of Ukrainian scientists can be found in the article by O. Hnatyshyn (2015). Objectives, methods, and novelty of the research. The purpose of the article is to reveal the ways of realizing the meaning-forming function of the texture based on the analysis of piano works by modern Ukrainian composers: Serhii Piliutykov’s “Fairy Tale” and Zoltan Almashi’s “Elegy”. The stylistic, genre, systematic and functional methods of researching are used in the article. For the first time in Ukrainian musicology, the selected works are analyzed from the point of view of textural organization. Results and conclusion. The situation of the gap the connection between the genre and the texture actualizes the meaning-forming and organizing function of the texture. S. Piliutykov in “Fairy Tale” builds a meaningful multilayered structure horizontally and vertically, working with different stylistic thematic elements, thereby revealing the programmatic idea. As a result, a specific musical narrative is created, which is unfolded in the interaction of vertical and horizontal texture layers. In “Elegy” by Z. Almashi, the principles of textural organization chosen by the composer seem to push the boundaries of the genre, provide for a different timbre embodiment, and timbre-texture transformations become decisive in building the composition in time and space.

Disentangle the drivers of soil organic carbon mineralization and their temperature sensitivity in both topsoil and subsoil: Implication of thermal stability and chemical composition

Information about the temperature dependence of soil organic carbon (SOC) mineralization is important to predict the possible carbon (C) release from the terrestrial ecosystem facing global warming. However, the way in which SOC quality and mineral protection of SOC affects mineralization rates and their response to increasing temperature remains poorly understood. Here, we focused on investigating thermal stability and chemical composition of soils which differed greatly with the type and extent of organo-mineral associations, and revealing their implications for SOC mineralization. Chemical composition and thermal stability of SOC were analyzed with 13C nuclear magnetic resonance spectroscopy (13C NMR) and simultaneous thermogravimeteric analysis and differential scanning calorimetry (TG-DSC), respectively. Soil mineralization and its temperature sensitivity (Q10) were assessed by incubating soils at 15 and 25 °C for 90 days.Our results showed that SOC of subsoil was more biologically stable, but exhibited higher temperature sensitivity than those of topsoil. Significant differences in chemical composition and thermal stability of SOC were detected across soils developed from four parent materials but not between two soil layers, and indicators obtained from the two techniques showed apparent associations with depth-specific SOC mineralization rates. Increase in SOC mineralization rates at two incubation temperatures and two soil layers were observed when the soils were characterized by higher percentage of labile SOC fractions (i.e., O-alkyl C and organic carbon oxidized during exothermic reactions). The Q10 values of topsoil were positively and mostly related to the percentage of Alkyl C. In addition to notable relationships with chemical composition, the Q10 values of subsoil were positively correlated with Exo1/Exo2 ratios and Energy density values, and negatively correlated with TG-50. It was interesting to note that thermal stability was possibly as a function of soil texture and total oxides. Results from VPA analysis further revealed that SOC mineralization rates at two soil layers and Q10 of topsoil were mainly driven by SOC quality, while it was related to both SOC quality and chemical protection for subsoil, implying that factors controlling the temperature sensitivity of SOC mineralization were depth-specific. Altogether, substrate accessibility as a function of chemical composition and chemical protection would play vital role in determining the feedbacks of the subsoil SOC pool to the future climate warming.

Degradation of starch in pasta induced by extrusion below gelatinization temperature.

The structural deformation of starch during pasta extrusion leads to varied effects on pasta quality. We investigated the impact of shearing force on the starch structure of pasta and pasta quality by varying the screw speed (100, 300, 500 and 600rpm) with a temperature range of 25 to 50 ℃ in increments of 5 ℃, from the feeding zone to the die zone. The higher screw speeds were associated with more specific mechanical energy input (157, 319, 440, and 531kJ/kg for pasta produced at 100, 300, 500 and 600rpm, respectively), resulting in a lower pasting viscosity (1084, 813, 522 and 480mPa·s for pasta produced at 100, 300, 500 and 600rpm, respectively) in the pasta due to the loss of starch molecular order and crystallinity. Size-exclusion chromatography revealed that pasta produced at 600rpm screw speed had a lower amylopectin size distribution which indicated molecular breakdown during extrusion. Pasta produced at 600rpm had higher in vitro starch hydrolysis (both raw and cooked) than the pasta made at 100rpm. The research provides relationship of how the screw speed can be manipulated to design pasta with varied texture and nutritional functionality.

Acquisition and Application of Reflectance for Computer-Generated Images

In the field of computer graphics, accurate representation of material properties is crucial for rendering realistic imagery. This paper focuses on the bidirectional reflectance distribution function (BRDF) and its role in determining how materials interact with light. The authors review the state of the art in reflectance measurement systems, with a focus on BRDF and bidirectional texture function (BTF) measurement. They discuss practical limitations in measuring multi-dimensional functions and provide examples of how researchers have addressed these challenges. Additionally, they analyse various approaches to converting measured data into practical analytical functions for use in commercial rendering software, including data-driven methods such as neural networks and hybridized approaches.

Developing scoring functions based on soil texture to assess agricultural soil health in Quebec, Canada

Adoption of soil health indicators to assess physical, biological, and chemical properties involves adapting their interpretation for a specific region using scoring functions. Accordingly, we used data provided from 1166 soil samples distributed between fine-, medium-, and coarse-textured soils, collected in agricultural areas across the province of Quebec, Canada, and analyzed for 15 soil health indicators. Scoring functions were calculated according to the means and standard deviations obtained for each soil health indicator by textural group. Three scoring types were used: “more-is-better”, “less-is-better”, and “optimum-is-best”. The results showed that 12 indicators were significantly influenced by soil texture and need separate scoring functions, except for wet aggregate stability, penetration resistance of the surface hardness (0–15 cm), and pH. This led to the development of one to three scoring functions for each soil health indicator. Correlation analysis between soil health indicators was also investigated to better understand relationships between soil physical, biological, and chemical properties. We observed that soil biological indicators were moderately to strongly correlated with each other ( r = 0.59–0.74) and with soil physical indicators ( r = 0.60–0.76). Overall, the results of this study led to the development of new scoring functions based on soil texture to interpret soil health indicators objectively and accurately for the benefit of Quebec farmers and agricultural stakeholders. The findings of this study demonstrated the need to adapt scoring functions to better account for the impact of regional factors on agricultural soils for the interpretation of soil health indicators.

Clinical Features and Biophysical Characteristics of Lips of South Asian Women.

The vermillion lip has unique physical properties and environmental exposures make them prone to dryness and chapping. While lips contribute to facial beauty, perioral aging is highly individual and dependent on ethnicity. Specifically with regard to South Asian population, there is no other literature identified on the biophysical characteristics of the vermillion lip. In this work, characteristics of the vermillion skin in South Asians were examined through various clinical and biophysical characteristics of the lips such as dryness and roughness, fine lip lines, lip texture, hydration, and barrier function. Healthy South Asian females, from age 20-45 were recruited for this study and transepidermal water loss (TEWL), hydration, visual lip tolerance, and visual dryness were measured and graded by the dermatologist-investigator. Lip texture and fine lines significantly increased from the 20s to the 40s. Overall lip health significantly decreased with age. TEWL and dryness increased with age while hydration decreased with age, although not significantly so. This first-of-its kind study on South Asian females establishes that with age there is a decrease in overall lip health and an increase in signs of aging of the lips (fine lines, texture) from the 20s to 40s.

Grain size and shape dependent crystal plasticity finite element model and its application to electron beam welded SS316L

Electron beam welding is an autogenous welding process that leads to microstructural heterogeneities; crystallographic texture, elongated and larger grain size relative to the surrounding parent material. The goal of this study is to predict the changes in mechanical response of the weld fusion zone as a function of grain morphology and texture by using the parent material properties to avoid extensive and costly experimental campaigns. For this reason, a crystal plasticity solver, “University of BRIstol cryStal plasTicity sOLver” (BRISTOL), is implemented in a finite element framework with new constitutive laws to account for the length-scale dependence considering the size and shape of the grains. It is found that the crystallographic texture governs the orientation specific elastic stiffness and yield stress having the most dominant effect on the macroscopic response of the weldment at the grain size scales considered. Crucially the length-scale dependent model allows accurate prediction of the yield strength of the weldment over a range of microstructures, also highlighting the presence of other factors such as prior strain hardening during the welding process and residual stresses.

Influence of pre‐gelatinization in conjunction with guar gum addition on texture functionality, bioactive profile, in vitro nutrient digestibility, morphology and secondary structure of protein of quality protein maize pasta

SummaryThe current investigation aimed to develop quality protein maize (QPM) specialty pasta (partial: 50% QPM and full replacement of semolina: 100% QPM) and study the influence of pre‐gelatinization in conjunction with guar gum addition (1.5% or 3%) on bio‐techno‐functional properties of pasta. Scanning electron microscopy depicted the encapsulation of swollen starch within a protective sheet developed as a result of gum addition and starch gelatinisation. The Fourier transform infrared spectra denoted a shift from crystalline towards amorphous state in starch as a consequence of partial gelatinisation. The secondary structure of protein signified a drop in the alpha‐helix structure and thereby enhanced the in vitro protein digestibility of the pregelatinised samples. Multivariate principal component analysis was utilised to validate the differences between the parameters. The overall study inferred that the QPM owned an excellent potentiality for the development of nutrient‐dense pasta by employing the functionality of gums and pre‐gelatinisation treatment.

Smoothing tool design and performance during subaperture glass polishing.

During subaperture tool grinding and polishing, overlaps of the tool influence function can result in undesirable mid-spatial frequency (MSF) errors in the form of surface ripples, which are often corrected using a smoothing polishing step. In this study, flat multi-layer smoothing polishing tools are designed and tested to simultaneously (1)reduce or remove MSF errors, (2)minimize surface figure degradation, and (3)maximize the material removal rate. A time-dependent convergence model in which spatial material removal varies with a workpiece-tool height mismatch, combined with a finite element mechanical analysis to determine the interface contact pressure distribution, was developed to evaluate various smoothing tool designs as a function of tool material properties, thicknesses, pad textures, and displacements. An improvement in smoothing tool performance is achieved when the gap pressure constant, h¯ (which describes the inverse rate at which the pressure drops with a workpiece-tool height mismatch), is minimized for smaller spatial scale length surface features (namely, MSF errors) and maximized for large spatial scale length features (i.e.,surface figure). Five specific smoothing tool designs were experimentally evaluated. A two-layer smoothing tool using a thin, grooved IC1000 polyurethane pad (with a high elastic modulus, E p a d =360M P a), thicker blue foam (with an intermediate modulus, E f o a m =5.3M P a) underlayer, and an optimized displacement (d t=1m m) provided the best overall performance (namely, high MSF error convergence, minimal surface figure degradation, and high material removal rate).

Assessment of Soil Erosion Hazards in Kambiti Subcatchment, Murang’a County, Kenya

Erosion is a global problem that destroys soil and adversely affects ecosystem productivity. Soil erosion generally involves many processes but the major activities involve particles being transported and deposited to another location. With an increasing population, soil erosion, water availability, energy production, and biodiversity loss are some of the most pressing environmental problems around the world. Erosion is a hazard associated with agriculture in tropical and semi-arid areas. Kambiti sub catchment is part of the upper Tana catchment. The upper Tana catchment includes 25% of Kenya gazette forest. A large area of land has been degraded, resulting in a drastic reduction in surface water availability during the dry season and poor-quality water during the wet season caused by high silt levels. The main objective of the study is to assess erosion hazards using RUSLE model in Kambiti sub catchment area, Murang’a County. The specific objectives of the study were to determine the effect of rainfall erosivity and soil erodibility factor in Kambiti Sub catchment area in Murang’a County, to determine effect of slope factor to soil loss in Kambiti Sub-catchment area in Murang’a County, to determine the effect of crop protection and management factor in Kambiti Sub catchment area in Murang’a County to soil loss and to determine the strategies for management of soil and water in Kambiti Sub catchment area in Murang’a County. Data was collected from the catchment and analyzed using arc Geographical Information System to obtain the specific parameters in the revised universal soil loss equation model. Interpolation method was used to determine the mean annual precipitation. The k factor is a function of soil texture. Shape file for geological structure for Kenya was obtained from Kenya Agriculture and livestock Research Organisation and analyzed by use of arc GIS to obtain soil erodibility factor. The slope factor was analyzed using digital elevation model from arc view. Digital elevation model was gotten from STRM download. The C factor was derived from Landsat imagery from sentinel of 30metres by 30 metres. It was further analysed by unsupervised classification from Arc GIS. The sentinel clip of Kambiti sub-catchment was joined with ground trothing observations. The results were useful in estimation of soil loss therefore profiling the areas prone to soil loss. Study findings indicated rain drop impact and runoff were primarily responsible for causing erosion in Kambiti sub catchment. Anthropogenic factors played an important role in amplifying the severity of the damage, such as persistent vegetative degradation and destruction of soil structure due to organic matter depletion and routine shallow tillage. In recent years, erosion control has been hampered by the occurrence of gaps in knowledge regarding the integrated nature of erosion processes, leading to land damage caused by rill and inter-rill erosion going unaddressed. Poor people and those lacking capital to invest in reclaiming land are the main causes of abandoning degraded land. Through strategic awareness campaigns and education, soil erosion will be assessed and the knowledge gap will be closed. Participation of farmers in land use decisions is inevitable as it ensures that people who utilize land resources are recognized as equal partners in identifying problems and designing solutions. It was also recommended that Identification and operationalization of alternative off-farm income.

Dynamics of SOC density and driving factors during the restoration of artificial grassland and abandoned farmland in Mu Us Desert, China

Establishment of artificial grassland and abandoned farmland are effective measures to increase soil carbon sequestration and mitigate global warming; however, the difference between the two methods in terms of carbon sequestration efficiency and mechanisms at various times and at different soil depths remain unclear. This study investigates the soil organic carbon density (SOCD), soil physicochemical properties, microbial biomass, as well as the above- and belowground biomass of artificial grassland and abandoned farmland restored for one, three, four, seven, and nine years in Mu Us Desert, China. The results show that establishment of both land types could significantly increase soil carbon storage. The SOCD changed following a single-peak curve in the artificial grassland and steadily increased with restoration age in the abandoned farmland. The SOCD of the artificial grassland reached 1.7–2.4 times that of the abandoned farmland, but there was no significant difference (p > 0.05) between the two by the ninth year. The SOCD did not increase significantly in the early stages of restoration (1–3 years and 1–4 years for artificial grassland and abandoned farmland, respectively), which was delayed as the soil layer deepened. Compared to the abandoned farmland, the influence of plants on SOCD through microbial pathways was greater in the artificial grassland, however, the role of soil texture in abandoned farmland was more pronounced. Along with soil depth, the influence of plant factors on the SOCD decreased (40.37–18.19%), but the combined effects of the soil texture and microbial biomass determined the SOCD dynamics. Our results suggest that the combination of appropriate artificial interventions in abandoned farmland can not only quickly restore vegetation communities but also enhance the plant-soil interactions, improve soil texture and microbial functions, increase carbon capture and storage capabilities, and form more sustainable grassland ecosystems.

Effect of bionic hexagonal texture on squeezing films inside soft contacts with high adhesion and high friction.

To understand the mechanisms of high friction and high adhesion in bioinspired textured surfaces under wet conditions, the evolution behavior of squeezing films across lubricated interfaces is experimentally investigated using optical interferometry. The results show that the splitting of the continuous large-scaled liquid film into numerous isolated micro zones is an important function of the hexagonal texture. Both the orientation and the size of the hexagonal texture have noticeable effects on the drainage rate: either downscaling the hexagonal texture or orienting the texture with two sides of each micro-hexagon parallel to the inclining direction could accelerate the draining process. While the draining process is completed, residual micro-droplets turn out to be entrapped within the contact regions of single hexagonal micro-pillars. The entrapped micro-droplets gradually shrink as the hexagonal texture downsizes. Moreover, a novel geometrical shape for the micro-pillared texture is proposed to improve the drainage efficiency.

Evaluation of gold ore properties and their impact on grinding operations

Purpose. The purpose of this paper is to evaluate the efficiency of grinding operations in terms of how mechanical properties (e.g., strength properties and ore texture) affect the Bond Work Index. Methods. The specimens have been collected in the Eastern Desert of Egypt, namely Abu Marwat, Hamash and Al Sadd. As a result, strength parameters such as compressive strength, cohesiveness and hardness have been assessed. Ore texture, mineral content and bonds between tiny fabric units have been examined using X-Ray Diffraction (XRD) and thin section. Findings. This research shows that as the strength properties of the rock increase, the Bond Working Index also increases. Moreover, the results indicate that the level of cohesion of ore minerals with the surrounding tailings, on the one hand, and the variance in the tailing content, on the other hand, play a significant role in the processing operation, given the discrepancy in the Bond Work Index for the six Abu Marawat gold ores of 18.8%. Originality. This research attempts to develop a methodology for assessing the efficiency of grinding operations as a function of rock strength properties and ore texture in relation to the Bond Work Index. Practical implications. Ore texture is one of the most important factors influencing the grinding process. Since grinding consumes a considerable amount of energy, the economic evaluation is based on increasing the grinding efficiency. According to previous research, the petrographic, which varies from sample to another, has an impact on the mechanical properties as well as the grinding operations.

Volatiles of the active Mayotte volcanic chain: STA & EGA-MS analysis of volcanic products

In July 2018, a large (ca. 6.55 km3), deep (ca. 2.5 to 3.3 km b.s.l) submarine eruption started ca. 50 km east of Mayotte Island. Samples of fresh basanitic lava rims were collected by dredging, at various times and locations from the newly formed Fani Maoré Edifice (FME). The logistical response to this extraordinary event also enabled the dredging of shallow (ca. 1.2 to 1.6 km below sea level, b.s.l.), fresh phonolitic lava and bomb rims in the so-called Horse-Shoe Area (HSA), ca. 15 km east of Mayotte. Better-known subaerial counterparts of Holocene age, have also been sampled in the La Vigie Maar (LVM) phonolitic deposits (Petite-Terre, Mayotte Island), for comparison with submarine samples. These samples belong to a single volcanic chain that extends from LVM to FME passing through HSA. A novel combination of Simultaneous Thermal Analysis (STA), which involves Differential Scanning Calorimetry (DSC), Thermal Gravimetry Analysis (TGA), and Evolved Gas Analysis conducted by Mass Spectrometry (EGA-MS), enable a reconstruction of the volatile distributions and compositions (H2O, CO2, and SO2) of these samples. Calorimetric and degassing profiles of controlled heating runs reveal different volatile reservoirs distributed as a function of sample textures and compositions, which have been further investigated by Scanning Electron Microscopy (SEM), Electron Probe Micro-Analysis (EPMA), and Raman spectroscopy. A linear correlation observed between the TGA and H2O-EGA-MS signal intensities also enables the quantification of adsorbed-external vs. dissolved-magmatic H2O contents of the studied samples. The novel application of this approach to volcanic products is thus confirmed as a reliable method to determine volatile characteristics in a wide range of samples, yielding a quantitative description of volatile behavior within the associated magmatic systems and eruptions.

A Bioinspired Triple‐Hierarchical Superhydrophobic Surface with Exceptional Robustness to Water Impingement

Bioinspired surfaces have great potential for self‐cleaning, condensation acceleration, and drag reduction. However, manufactured biomimetic surfaces typically feature only one or occasionally two length scales of surface topography and do not fully recapitulate the structure and function of natural textures. Herein, a triple‐hierarchical superhydrophobic surface (TriSS) inspired by water‐repellent lotus leaves is introduced, which consist of arrays of microprotrusions with various sizes, grooves between the protrusions, and a covering of nanoscale hairs. The TriSS surface is manufactured by forming an array of microdomes through photolithography and thermal reflow. These microstructures are transferred, by casting, to an elastomer, which is then augmented with surface wrinkles by the relaxation of biaxial stress in an oxidized surface layer. Conformal growth of a nanoporous zinc oxide film and fluorosilanization adds further surface detail. The TriSS surface achieves a sessile water contact angle up to 174.3 ± 0.3° and contact angle hysteresis down to 9.9 ± 0.3° via the very limited liquid–solid contact enabled by the surface topography. The surface also captures and retains a stable air layer, which resists water impingement even when submersed to 20 cm depth for more than 200 h. The TriSS process offers a scalable route to water repellence in industrial applications.