Search Results (41)

The date palm (Phoenix dactylifera L.), which is the pivot of oasian agriculture, offers a range of agricultural by-products, which remain very poorly exploited and are still used in a traditional way in animal rations. Date waste or dry dates are the result of sorting after harvest, accounting for 25% of annual date production. This co-product of poor quality and low market value has been shown to be rich in various secondary metabolites endowed with antioxidant and anti-radical properties. In order to make the most of Algerian oasian flora, a potential source of bioactive natural molecules, a chemical and biological study of three parts of the fruit of the Phoenix dactylifera plant (‘N’ stone, ‘P’ pulp and ‘N + P’ whole dates) was carried out. The bioactivities of hydro-methanolic extracts were assessed by determining antioxidant activity. The date pulp ‘P’ showed better anti-free radical activity with the DPPH test (p < 0.01). The bioactive substances isolated in the stone fractions ‘N’ showed excellent antioxidant activity with the ABTS test (p < 0.05). Moreover, the raw extract of N showed excellent antioxidant activity superior to that of the standard BHT with the CUPRAC test (p < 0.001). The fruits of Phoenix dactylifera and mainly the stones ‘N’ have excellent antioxidant activity and abundant secondary metabolites, which could provide corroborating evidence in terms of the potential elimination of free radicals from the fruit. Full article

This review concentrates on the bioactive potential of two significant agri-food by-products: coffee by-products (coffee pulp and husk, spent coffee grounds, and silverskin) and olive by-products (olive mill wastewater, pomace, stones, and leaves). These residues are produced in substantial quantities, and despite their considerable application potential, they remain predominantly underutilized, thereby contributing to environmental burdens and economic losses. Their richness in bioactive compounds is unequivocal. Specifically, coffee by-products are abundant in caffeine and chlorogenic acids, whereas olive by-products serve as excellent sources of oleuropein, hydroxytyrosol, and tyrosol. Such compounds possess health-promoting properties and are promising active ingredients for cosmetic formulations, owing to their antioxidant, anti-aging, UV protective, antimicrobial, emollient, and moisturizing effects. This review not only compiles the bioactive compounds present in these by-products and explores their potential applications but also examines the extraction methods employed for their recovery. Both conventional techniques (solvent extraction) and green extraction technologies (ultrasound-assisted extraction, microwave-assisted extraction, and supercritical fluid extraction) are discussed. These innovative and environmentally friendly approaches enhance extraction efficiency and are aligned with sustainability objectives. In this context, the importance of incorporating natural ingredients into cosmetic products is emphasized, both to meet regulatory and environmental standards and to satisfy the increasing consumer demand for safer, more effective, and environmentally sustainable formulations. Full article

Background/Objectives: Different sized calcified masses called pulp stones are often detected in dental pulp and can impact dental procedures. The current research was conducted with the aim of measuring the ability of artificial intelligence algorithms to accurately diagnose pulp and pulp stone calcifications on panoramic radiographs. Methods: We used 713 panoramic radiographs, on which a minimum of one pulp stone was detected, identified retrospectively, and included in the study—4675 pulp stones and 5085 pulps were marked on these radiographs using CVAT v1.7.0 labeling software. Results: In the test dataset, the AI model segmented 462 panoramic radiographs for pulp stone and 220 panoramic radiographs for pulp. The dice coefficient and Intersection over Union (IoU) recorded for the Pulp Segmentation model were 0.84 and 0.758, respectively. Precision and recall were computed to be 0.858 and 0.827, respectively. The Pulp Stone Segmentation model achieved a dice coefficient of 0.759 and an IoU of 0.686, with precision and recall of 0.792 and 0.773, respectively. Conclusions: Pulp and pulp stones can successfully be identified using artificial intelligence algorithms. This study provides evidence that artificial intelligence software using deep learning algorithms can be valuable adjunct tools in aiding clinicians in radiographic diagnosis. Further research in which larger datasets are examined are needed to enhance the capability of artificial intelligence models to make accurate diagnoses. Full article

This study investigates the potential of thermally treated olive husk (OH)—a heterogeneous agro-industrial by-product comprising olive stones, pulp, and fibrous residues—as a multifunctional component in lightweight bio-concrete. Uniquely, this work harnesses the intrinsic dual nature of OH as both a fibrous reinforcement and a porous aggregate, without further fractionation, to evaluate its influence on the hygrothermal and mechanical behavior of cementitious composites. While prior studies have often focused selectively on thermal conductivity, this work provides a comprehensive assessment of all major thermal parameters; including diffusivity, effusivity, and specific heat capacity; offering deeper insights into the full thermal behavior of bio-based concretes. OH was incorporated at 0%, 10%, and 20% by weight, and the resulting concretes were subjected to a comprehensive characterization of their thermal, hygric, mechanical, and microstructural properties. Thermal performance metrics included conductivity, specific heat capacity, diffusivity, effusivity, time lag, and predicted energy savings. Hygric behavior was assessed through the moisture buffering value (MBV), while density, porosity, and mechanical strengths were also evaluated. At 20% OH content, thermal conductivity decreased to 0.405 W/m·K (a 72% reduction), thermal diffusivity dropped by 87%, and thermal effusivity reached 554 W·s^0.5/m²·K, collectively enhancing thermal inertia and increasing the time lag by 77% (to 2.32 h). MBVs improved to 2.18 g/m²·%RH, rated as “Excellent” for indoor moisture regulation. Despite the higher porosity, the bio-concrete maintained adequate mechanical integrity, with compressive and flexural strengths of 11.68 MPa and 3.58 MPa, respectively, attributed to the crack-bridging action of the fibrous inclusions. Microstructural analysis (SEM/XRD) revealed improved paste continuity and denser C–S–H formation, attributed to enhanced matrix compatibility following oil removal via thermal pre-treatment. These findings demonstrate the viability of OH as a new bio-based, multifunctional additive for fabricating thermally efficient, hygroscopically active, and structurally sound concretes suitable for sustainable construction. Full article

This study presents an innovative approach to the sustainable valorization of industrial sweet cherry (Prunus avium L.) waste from the Vignola Region, Italy, transforming what is typically discarded into a high-value bioactive resource. Unlike conventional extractions, our hydroethanolic extract (VCE) was obtained from the entire cherry waste, including the pericarp, pulp, and stone, as generated by industrial processing. This full-fruit extraction strategy represents a novel and efficient use of agricultural by-products, aligning with circular bioeconomy principles. Sweet cherries are known for their phenolic richness, and spectrophotometric assays (TPC, TFC, reducing power, DPPH, and ABTS) confirmed the extract’s antioxidant capacity. In vitro studies using RAW 264.7 macrophages revealed no cytotoxic effects (MTT assay), along with significant anti-inflammatory activity, evidenced by reduced ROS and NO production and downregulation of iNOS and COX-2. Western blotting showed inhibition of NF-κB nuclear translocation and MAPK pathway signaling. Additionally, agarose gel electrophoresis showed protection against oxidative DNA damage. UPLC-MS/MS analysis identified sakuranetin, aequinetin, and dihydrowogonin as the most representative compounds in VCE. Molecular docking simulations revealed strong and specific binding affinities of these compounds to NF-κB p65 and key MAPK targets. These findings highlight whole sweet cherry waste—including the pit—as a potent and sustainable source of bioactive compounds with promising nutraceutical and pharmaceutical applications. Full article

Background/Objectives: Pulp stones (PSs) are calcified masses, with rounded or oval shapes, ranging from small particles to masses larger than the chamber and/or canals. There are limited data regarding the prevalence of pulp stones in the Iberian population. Our aim was to determine the prevalence of PSs, using CBCT, in an Iberian population, and its association with gender, age, tooth location (arch and hemiarch), dental group, the presence of caries, restorations, alveolar bone loss, and a history of orthodontic treatment. Methods: In total, 300 CBCTs were analyzed, selected from the database of the Dental Clinic of the University of Valencia. A total of 5485 teeth were included. The images were obtained by NewTom equipment and visualized using NNT software 11 by a single calibrated examiner in the axial, sagittal, and coronal planes. The Chi-square test, ANOVA, and t-test were used to analyze the study variables for a significance level of p < 0.05. Results: The prevalence of PSs was 88.3% from the total number of patients assessed and 61.2% from the total number of teeth assessed. No differences were found by gender or age. A significant association was found within tooth groups between arches and hemiarches. The proportion of PSs was 3.7 times higher in teeth with caries, 4.7 times higher in teeth with fillings, and 2.3 times higher in teeth with alveolar bone loss. Conclusions: PSs were more prevalent in molars. The presence of caries, fillings, and bone loss increased the chance of presenting PSs. Maxillary teeth had a higher prevalence of PSs than mandibular teeth. Full article

The low injectability and strong permeation of micro-fractures in argillaceous rock masses significantly impair the impermeabilization and reinforcement performance of conventional cement-based grouting materials. This study first develops a highly injectable and high-strength nano-silica sol-based composite grout. Then, the characteristics of silica sol, cement grout, and composite grout in argillaceous fractured rock masses are analyzed and compared. The permeation mechanism of the composite-grout grouting in these rock masses is preliminarily elucidated, and the grouting process is described in detail, showing its application prospects. The research results indicate the following: (1) The electrical conductivity and stone-formation rate of granular pulp can reflect the characteristics of pulp filtration. Silica sol is a grouting material with nanometer particles, and the stone rate and gel strength are weakly affected by rock mass infiltration. (2) A large amount of water cannot be combined into the gel network and separated during the cement slurry percolation process, resulting in a significant reduction in the stone rate and compressive strength of deep rock mass. The minimum stone rate decreased to 45.19%, and the minimum compressive strength decreased to 2.29 MPa. This reduces the sealing and reinforcement effect of cement grouting on deep rock masses. (3) Rock permeation primarily affects the compressive strength of the formed stones, with minimal impact on the stability and stone-formation rate of the composite grout. As permeability decreases, the position of rock permeation shifts closer to the rock surface, while the sealing of deeper rock masses is less affected, enabling the composite grout to achieve dual functions of superficial reinforcement and deep sealing. This study provides theoretical support for the practical application of composite-grout grouting in reinforcing argillaceous rock masses. Full article

The genus Ziziphus includes numerous species, both cultivated and wild, offering significant genetic variability and economic potential that are often overlooked. Due to their high variability and ecological plasticity, jujube species and genotypes can be utilized in marginal areas and on land where few plants could be efficiently exploited. This study investigated variations in morphological characteristics (qualitative and quantitative), bioactive content (e.g., DPPH radicals), and antioxidant capacity in fruits, leaves, and stones of cultivated Z. jujuba genotypes (‘Hu Ping Zao’ and ‘Jun Zao’) and wild genotypes (Z. acido-jujuba and ‘Jurilovca’), using different solvents (water, ethanol, and methanol). The mass and dimensions of the fruits as well as their parameters (fresh and dry weight, length, width, and pulp-to-stone ratio) and the antioxidant potential of different plant organ types (leaves, fruit pulps, and stones) were determined. The results showed that the cultivated genotypes produced larger and heavier fruits with a higher pulp percentage than the wild forms of the same species. However, the wild forms exhibited higher antioxidant capacities than the cultivated genotypes, depending on the type of plant organ analyzed and the solvent used for extraction. Full article

Water release is a crucial aspect when considering cleaning effects on water-sensitive materials. In conservation practice, a water-based cleaning method which limits water release is very often needed. Unfortunately, this is not accompanied by an appropriate measure of the effectively released water. In this paper, water release has been measured by comparing traditional cleaning formulations, such as paper pulp and sepiolite, with several gar gel formulations, used by both Italian and European conservators. The assessment has been carried out by the gravimetric method, using three different stone material specimens as reference: Noto calcarenite, Manciano sandstone and Black Bergamo limestone, whose porosity values and distributions are known. Moreover, water distribution has been evaluated by portable NMR tests. Different commercial agar gel products (Bresciani, CTS, Sigma), having different concentrations (3, 4, and 5%), application modes (rigid at room T or fluid warm gels, with and without inserting Japanese tissue paper), and geometry (horizontal in gravity force direction or vertical), have been compared to obtain a full scenario among different water release mechanisms present in real conservation works. The paper faces the important issue of preparing reproducible chemical or water pads as well, useful for further research aimed at comparing cleaning effects in heritage conservation. The most interesting quantitative results can be summarized as follows. The water release measured from paper pulp and sepiolite was found to be 2 to 4 times higher than from any tested agar gel. Water release decreases by increasing agar concentration; an increase in the agar concentration by 1% induces a decrease in water release in the range 16.98–66.88 g depending on the stone; the increase from 4% to 5% is more obvious with respect to that from 3% to 4%. It is possible to assess the effect of the presence of Japanese paper, which is able to reduce the water release from 18 to 76%, depending on the stone and on the agar used. The gravimetric results were also used in the preliminary calibration tests of a contact probe named System Unit Salinity Index (SUSI), recently patented and useful in providing humidity and salinity indexes in a given porous material. Full article

Bioenergy with carbon capture and storage (BECCS) or utilization (BECCU) allows net zero or negative carbon emissions and can be a breakthrough technology for climate change mitigation. This work consists of an energetic, exergetic, and economic analysis of an integrated process based on chemical looping combustion of solar-torrefied agro-industrial residues, followed by methanation of the concentrated CO₂ stream with green H₂. Four agro-industrial residues and four Italian site locations are considered. Depending on the considered biomass, the integrated plant processes about 18–93 kg h⁻¹ of raw biomass and produces 55–70 t y⁻¹ of synthetic methane. Global exergetic efficiencies ranged within 45–60% and 67–77% when neglecting and considering, respectively, the valorization of torgas. Sugar beet pulp and grape marc required a non-negligible input exergy flow for the torrefaction, due to the high moisture content of the raw biomasses. However, for these biomasses, the water released during drying/torrefaction and CO₂ methanation could be recycled to the electrolyzer to eliminate external water consumption, thus allowing for a more sustainable use of water resources. For olive stones and hemp hurd, this water recycling brings, instead, a reduction of approximately 65% in water needs. A round-trip electric efficiency of 28% was estimated assuming an electric conversion efficiency of 40%. According to the economic analysis, the total plant costs ranged within 3–5 M€ depending on the biomass and site location considered. The levelized cost of methane (LCOM) ranged within 4.3–8.9 € kg_CH4⁻¹ but, if implementing strategies to avoid the use of a large temporary H₂ storage vessel, can be decreased to 2.6–5.3 € kg_CH4⁻¹. Lower values are obtained when considering hemp hurd and grape marc as raw biomasses, and when locating the PV field in the south of Italy. Even in the best scenario, values of LCOM are out of the market if compared to current natural gas prices, but they might become competitive with the introduction of a carbon tax or through government incentives for the purchase of the PV field and/or electrolyzer. Full article

This study aims to evaluate the effectiveness of employing a deep learning approach for the automated detection of pulp stones in panoramic imaging. A comprehensive dataset comprising 2409 panoramic radiography images (7564 labels) underwent labeling using the CranioCatch labeling program, developed in Eskişehir, Turkey. The dataset was stratified into three distinct subsets: training (n = 1929, 80% of the total), validation (n = 240, 10% of the total), and test (n = 240, 10% of the total) sets. To optimize the visual clarity of labeled regions, a 3 × 3 clash operation was applied to the images. The YOLOv5 architecture was employed for artificial intelligence modeling, yielding F1, sensitivity, and precision metrics of 0.7892, 0.8026, and 0.7762, respectively, during the evaluation of the test dataset. Among deep learning-based artificial intelligence algorithms applied to panoramic radiographs, the use of numerical identification for the detection of pulp stones has achieved remarkable success. It is expected that the success rates of training models will increase by using datasets consisting of a larger number of images. The use of artificial intelligence-supported clinical decision support system software has the potential to increase the efficiency and effectiveness of dentists. Full article

Acrylic polymers were extensively used in past restoration practices, usually as consolidants or protecting agents. Their removal is often required because polymer coatings can improve some decay processes of stone substrates and, after ageing, may generate undesirable materials on the surface of artifacts. Therefore, the removal of old polymer coating from the surface of artifacts has become a common operation in the conservation of cultural heritage. As with other cleaning operations, it is a delicate process that may irreversibly damage the artifacts if not correctly carried out. The main aim of this study was to determine the appropriate cleaning procedure for efficiently removing old acrylic polymers (e.g., Paraloid B-72) from the surface of historical buildings. For this purpose, a polymer was applied to two different porous stone substrates (bio-calcarenite and arenaria stone). The hydrogel cleaning approach was used for the present study, as preliminary results suggested that it is the most promising polymer-removing method. The considered hydrogel (based on a semi-interpenetrating polymer network involving poly(2-hydroxyethyl methacrylate) and polyvinylpyrrolidone) was prepared and characterized using different techniques in order to assess the gel’s properties, including the gel content, equilibrium water content, retention capability, hardness, Young’s modulus, and morphology. After that, the hydrogel was loaded with appropriate amounts of nano-structured emulsions (NSEs) containing a surfactant (EcoSuf^TM), organic solvents, and H₂O, then applied onto the coated surfaces. Moreover, plain EcoSurf^TM in a water emulsion (EcoSurf/H₂O) was also used to understand the polymer-removing behavior of the surfactant without any organic solvent. A comparative study was carried out on artificially aged and unaged polymer-coated samples to better understand the cleaning effectiveness of the considered emulsions for removing decayed polymer coatings. The experimental results showed that the NSE-loaded hydrogel cleaning method was more effective than other common cleaning procedures (e.g., cellulose pulp method). In fact, only one cleaning step was enough to remove the polymeric material from the stone surfaces without affecting their original properties. Full article

Root canal therapy is a vital dental procedure for salvaging severely decayed or infected teeth, preserving them instead of extracting them, thus averting the risk of reinfection. Nonetheless, the prevalence of root canal treatment (RCT) failure is surprisingly high, potentially leading to painful abscesses and severe infections. This study delves into the multifaceted reasons behind RCT failures and employs support vector machine (SVM) technology to predict treatment longevity. The research dataset comprises 332 manual instances, subjected to rigorous 10-fold cross-validation for testing and accuracy assessment. SVM is employed to categorize failed RCT cases into distinct classes, such as broken instruments, periapical radiolucency, root fractures, vertical root fractures, pulp stones, adequate periodontal support, periapical abscesses, overfilled cavities, and perforated or underfilled cavities. By scrutinizing the interplay between these treatment-failure-causing factors, the system discerns their impact on treatment duration. Comparisons are made with other machine learning models, including logistic regression (LR) and the naïve Bayes classifier (NB), to pinpoint the root causes of RCT failure in terms of accuracy, sensitivity, and specificity. Interestingly, logistic regression emerges as the top-performing model, with an impressive 92.47% accuracy rate. This study investigates the causes of RCT failure and employs SVM to predict treatment longevity, offering crucial insights for addressing this common dental issue. This study’s findings highlight the efficacy of logistic regression for identifying RCT failure causes, providing valuable guidance for improving dental procedures and patient outcomes. Full article

Stone fruits, such as the apricot (Prunus armeniaca L.), are frequently consumed. As such, a substantial volume of apricot waste is generated at each stage of the food supply chain, including harvesting, processing, packaging, warehousing, transportation, retailing, and eventual consumption. This generates tons of waste annually on a global scale. The significant amounts of phenolics present in these wastes are primarily responsible for their antioxidant capacity and the subsequent health advantages they provide. As such, apricot pulp by-products could be a valuable reservoir of bioactive compounds, such as tocopherols, polyphenolic compounds, proteins, dietary fibers, etc. Moreover, apricot kernels are also recognized for their abundance of bioactive compounds, including polyphenols and tocopherols, which find utility in diverse sectors including cosmetology and the food industry. Both conventional and green methods are employed, and generally, green methods lead to higher extraction efficiency. The antimicrobial properties of apricot kernel essential oil have been widely recognized, leading to its extensive historical usage in the treatment of diverse ailments. In addition, apricot kernel oil possesses the capacity to serve as a viable resource for renewable fuels and chemicals. This review examines the potential of apricot waste as a source of bioactive compounds, as well as its utilization in diverse applications, with an emphasis on its contribution to health improvement. Full article

Cleaning is one of the most important, essential, and delicate operation which has to be handled by conservators before applying new materials to any substrates. In past decades, nanotechnology introduced new concepts and materials in the conservation field, which have been providing many advantageous performances, especially higher than older materials. As a result, the conservators have already started to use nanomaterials in the cleaning processes of artifacts. Taking into consideration this new approach, our study has focused on using nano-structured emulsions (NSE) as smart cleaning materials for removing polymer coatings (e.g., acrylic polymers). For this purpose, Paraloid B-72 was applied on three different substrates (glass, Lecce stone, and Arenaria stone) and cleaning was performed by a specific nano-structured emulsion (NSE) based on an eco-friendly surfactant (EcoSurf) and two organic solvents in different proportions. In order to better understand the interaction of surfactant and organic solvents with polymer coating, plain EcoSurf in water was also used for comparison. In this study, the decay process of the considered polymer was also deeply studied, because it directly affects the cleaning effectiveness. Coated specimens of the different substrates were artificially aged and examined by different techniques: chromatic variations and contact angle measurements, optical microscopy, FTIR, and SEM-EDS. This material characterization process is important to understand the colour, morphology, and micro-structural difference, and the changes of hydrophobic behaviour as well as chemical composition of Paraloid B-72 polymer due to different ageing processes. After that, substrates coated with both unaged and aged polymer were cleaned by NSE according to the direct-contact procedure and cellulose pulp method. Preliminary analyses suggested that the direct-contact cleaning performed by nano-emulsion (i.e., NSE) induced a complete removal of the acrylic polymer, despite that this method is not recommended for the artifacts and can be hardly applicable in real cases. On the other hand, experimental results showed that satisfactory cleaning of stone substrates can be obtained by using NSE/the cellulose pulp system. Full article