Green Matrix Research Articles

The Evaluation of Urban Green Space Landscape Changes and Ecosystem Services in Beijing

As a very important part of the urban ecosystem, the urban green space system plays an active role in maintaining the urban ecosystem stability, providing ecosystem services, and improving the quality of the urban environment. In order to deal with the problems brought about by the deterioration of the urban ecological environment, it is necessary to study and analyze the spatial distribution pattern, evolutionary characteristics and ecosystem services of urban green space to maximize its ecological benefits and comprehensive functions. In this study, we took Beijing urban area as an example, and based on the spatial distribution data of urban green space and remote sensing data, we first calculated the urban green space type transition matrix, landscape pattern index and ecosystem services. Then, we analyzed the changes in urban green space landscape patterns, ecosystem services and their spatial distributions from 2000 to 2020, and studied the interactive relationships between landscape changes and changes in ecosystem services. The results showed three key findings. (1) Beijing's urban green space construction has achieved remarkable results from 2000 to 2020. The area of green space has increased by 77.41%, mainly from cultivated land and construction land. (2) From 2000 to 2020, the amounts of dust retention, SO2 absorption, NO2 absorption, cooling and humidification, carbon fixation and oxygen release, and rainwater runoff reduction in Beijing's urban green space have shown continuous increases in general. (3) There is a close relationship between urban green space landscape changes and green space ecosystem services, and total area (TA) has the highest correlation with ecosystem services. Except for rainwater runoff reduction, the correlation coefficients between TA and ecosystem services are all higher than 0.85. This research can provide theoretical guidance for optimizing Beijing's green space and determining how to maximize the effect of green space for improving the ecological environment, and ultimately provide a scientific basis for the construction of Beijing's ecological environment.

In-situ oligomerization of lactic acid within broiler skin extracted elastin/collagen matrix for the efficacy of ointment base

Elastin and collagen were isolated from waste broil skin and modified with l-lactic acid oligomer for the efficacy of substituting petroleum based ointment base matrix. Paraffin wax, which is one of the most extensively used petroleum ointment derivative is well known for its incompatibility with the skin. Chronically it clogs the skin pores, which subsequently affects the release of moisture. To mitigate this problem, a novel approach has been followed to synthesize a fully green and biocompatible ointment base matrix. The extracted Elastin and Collagen (which exists naturally in our skin) and lactic acid monomer (commonly known as a part of a body fluid) mixed at different proportion and used to synthesize a lactic acid modified elastin/collagen (OLLA-m-ELN/COL) bioconjugate matrix with lubricating characteristics via in-situ polycondensation reaction. The macromolecular interaction between Amide I group of elastin/collagen and C=O of a lactic acid oligomer was confirmed by FTIR analysis. Organoleptic analysis, spreadability, pH, and viscosity were analyzed. The six-mass loss stages which was observed in the ELN/COL matrix was changed into a single mass loss for the synthesized bioconjugate with improved thermal stability. The thermal stability improvement can be correlated with the formation of secondary macromolecular interaction.

Encapsulation of Trichoderma harzianum with nanocellulose/carboxymethyl cellulose nanocomposite

This study proposes the use of green matrices of cellulose nanocrystals (CNC) and a nanocomposite of CNC with carboxymethyl cellulose (CMC) for efficiently encapsulating the plant biocontrol agent Trichoderma harzianum. Beads containing spores of the microorganism were produced by dripping dispersions of the polymers into a CaCl2 coagulation bath, resulting in the crosslinking of CNC chains by Ca2+ ions. SEM micrographs evidenced the T. harzianum spores in the encapsulation matrices. X-ray microtomography confirmed the random distribution of the microorganism within the polymeric matrix and the presence of internal pores in the CNC:CMC:spores beads. Encapsulation in the CNC:CMC nanocomposite favored growth of the fungus after 10 days of storage at room temperature, which could be attributed to the presence of internal pores and to the extra carbon source provided by the CMC. The results indicated that CNC:CMC nanocomposites are promising materials for protecting and delivering microbial inoculants for agricultural applications.

Penalised likelihood methods for phase-type dimension selection

Abstract Phase-type distributions are dense in the class of distributions on the positive real line, and their flexibility and closed-form formulas in terms of matrix calculus allow fitting models to data in various application areas. However, the parameters are in general non-identifiable, and hence the dimension of two similar models may be very different. This paper proposes a new method for selecting the dimension of phase-type distributions via penalisation of the likelihood function. The penalties are in terms of the Green matrix, from which it is possible to extract the contributions of each state to the overall mean. Since representations with higher dimensions are penalised, a parsimony effect is obtained. We perform a numerical study with randomly generated phase-type samples to illustrate the effectiveness of the proposed procedure, and also apply the technique to the absolute log-returns of EURO STOXX 50 and Bitcoin prices.

Recyclable CMC/PVA/MIL-101 aerogels with tailored network and affinity sites for efficient heavy metal ions capture

A novel CMC/PVA/MIL-101(Cr) aerogel bead (CPMB) was prepared by the green polymer matrix of CMC and PVA and nanofiller of MIL-101(Cr) through the simple complexing with the ionic crosslinking agent, which could be an adsorptive platform for effectively capturing of Co(II) and Ni(II) ions in wastewater. The morphology, surface chemistry, and textural characteristics were investigated by varied characterization methods to reveal behind mechanisms for the dissimilarity in adsorption performance. The optimal modifying dosage of MIL-101(Cr) nanoparticles was determined to form an optimal tailored network with abundant MIL-101 clusters and hydroxyl/carboxyl groups inside the network that greatly achieved the most accessible heavy metals to CPMB-1. Meanwhile, the influences of temperature, adsorption dosage, pH, and interfering cations on the capacity of CPMB-1 were investigated, while adsorption behaviors of adsorbents were also explored. Analytic results indicated that the capture of two targeted ions by CPMB-1 could favorably comply with the Pseudo-second-order kinetic model and Freundlich isothermal adsorption model. The maximum adsorption capacities of two targeted ions calculated by data were 180.3 mg/g and 261.9 mg/g, respectively. According to the results of XPS and FTIR analysis, the electrostatic attraction and chelating effect could be the main mechanisms for improved performance, and contributing groups were the hydroxyl and carboxylic acid introduced into CPMB-1. Moreover, the as-designed CPMB-1 exhibited excellent recyclability and stability in eight cycles. The encouraging results exhibited by CPMB-1 might bring a new idea for integrating multiple functionalities of MOFs and biomass components for designing functional composites for efficient remediations of wastewater.

Use of β-cyclodextrin and milk protein-coated activated charcoal for rapid detection of Listeria monocytogenes in leafy greens by PCR without pre-enrichment

Listeriosis outbreaks caused by contaminated leafy greens leaf have increased in recent years, which can pose a serious threat to public health. Thus, a rapid, precise, and effective detection method is urgently needed. We reported a novel sample pre-treatment that utilizes β-cyclodextrin and milk protein-coated activated charcoal to remove PCR inhibitors in leafy green matrices and facilitate the recovery of L. monocytogenes, which can be coupled with PCR subsequently. The primers targeting the iap gene of L. monocytogenes were used for testing the specificity with 141 bacterial strains. Artificially contaminated leafy greens (100–105 CFU/25 g) that include spinach, lettuce, Lactuca sativa L., cole, and cabbage were tested to determine the sensitivity of the developed method. Natural leafy greens were tested to evaluate the application of the developed method compared with the conventional culture method. The stability (shelf life) of the reagents used in the developed method was determined using reagents stored at −20 °C for 3, 6, and 12 months to evaluate the sensitivity and application of the method. As a result, the specificity of the developed method was 100% and the detection limit was 101 CFU/25 g. The total detection time without pre-enrichment was 4 h. The detection rate of L. monocytogenes (spinach 5%, lettuce 3%, cole 1%, Lactuca sativa L. 0%, and cabbage 0%) and the detection rate of viable bacteria (100%) were consistent in both diagnostic methods (the coincidence rate was 100%). Furthermore, the sensitivity and the application of the developed method were not influenced using the reagents stored for 3, 6, and 12 months. The reagents could be used normally after storing at −20 °C for at least 12 months, which proved that these reagents have good stability under freezing conditions. This method for the detection of L. monocytogenes was rapid, sensitive, and specific, and can potentially be used to detect and monitor the target pathogen in leafy greens and to reduce the potential risk of L. monocytogenes for public health.

Novel recycling application of high volume municipal solid waste incineration bottom ash (MSWIBA) into sustainable concrete

Since municipal solid waste incineration bottom ash (MSWIBA) contains some heavy metals that are harmful to the groundwater and soil, this study proposes an effective and new approach to deal with high-volume MSWIBA. Selecting 70% MSWIBA, 10% ordinary Portland cement (OPC), 10% fly ash/ground granulated blast furnace slag (FA/GGBFS), and 1% volume of polypropylene (PP) fiber as the raw materials, this project designed and manufactured cold-bonded fiber aggregates (CBFAs) and applied them into sustainable concrete. It was found that the water absorption of CBFAs was between 12 and 14%, the bulk density was between 900 and 1100 kg/m3, and the compressive strength of single particle was greater than 1.8 MPa. And it was found that the mechanical strength and bulk density of CBFAs were positively correlated, while the mechanical strength and water absorption were negatively correlated. The leaching behaviors of CBFAs on Cu, Pb, Cd, and Cr were successfully suppressed to less than 1% of that originally from MSWIBA, which can be in line with the Chinese standards. Additionally, it is also found that the green concrete with adding GGBFS-CBFAs has higher overall fluidity and better mechanical properties than the concrete with FA-CBFAs. The mechanical properties of concrete were the best under the replacement rate of 60% of CFBAs, and the strength of green concrete added with GGBFS-CBFAs reached 96% of that of ordinary concrete. In this study, the rapid chloride ion penetration test, mercury intrusion and electron microscope tests found that the bonding effect between the CBFAs and the green concrete matrix was better, and the pore structure in the transition zone of the surrounding interface was refined. The proportion of transition pores in the pore structure was up to 59%. This shows that the concrete added with CBFAs has better resistance to chloride ion diffusion, and has some improvement on the durability. This research suggests that CBFAs including high volume MSWIBA has the potential to be successfully applied as the alternative to natural aggregates in sustainable concrete, and this can also advance waste recycling, and solidify high volume heavy metals in infrastructures.

TSVD Regularization-Parameter Selection Method Based on Wilson-θ and Its Application to Vertical Wheel-Rail Force Identification of Rail Vehicles

A parameter-selection method is proposed to improve the accuracy of the truncated singular value decomposition (TSVD) method, which is based on the Wilson-θ method and the principle of minimum response error, for dynamic load identification. First, using the Green kernel-function matrix, the dynamic load-identification model of the multi-degree-of-freedom system is established. Second, the response corresponding to the dynamic load is identified using the Wilson-θ method, and the minimum error between the response and the input response is obtained. Then, the best regularization parameters are obtained, and the dynamic load is identified using the TSVD regularization method. Finally, the SIMPACK dynamic model of a rail vehicle is established. Taking the German high-interference spectrum as the input, the axle-box displacement and the vertical wheel-rail force of each wheelset at speeds of 100, 160, and 200 km/h are simulated. Taking the simulated axle-box displacement response with 0%, 5%, and 10% noise as the input, the proposed load-identification model and regularization-parameter selection method are used to identify the vertical wheel-rail force of a rail vehicle. The effects of different track spectra on the identification results are considered. The results indicate that this method has a high identification accuracy for the wheel-rail vertical dynamic load. With an increase in the vehicle speed, the correlation coefficient for identifying the dynamic load decreases, but the correlation remains strong. At the speed of 200 km/h, when the input response noise level is 0%, the dynamic load identification correlation coefficient is 0.9556, which corresponds to extremely strong correlation. When the input response contains 5% noise, this method has stronger robustness than L-curve method, and the dynamic load identification correlation coefficient is 0.6354, which corresponds to strong correlation. The proposed load-identification model and regularization-parameter selection method have important theoretical and engineering application value for wheel-rail force monitoring and safety assessment of running trains.

Biopolymer‐Based Biomatrices – Organic Strategies to Combat Micronutrient Deficit for Dynamic Agronomy

AbstractAgronomy inexorably contributes an eminent role in food nutriment and the economic upswing of a country. Micronutrients though required exiguously; are vital for the growth, health, and higher yields of the crops. Micronutrient supplementation at a controlled rate in an economical and eco‐friendly way is the major challenge, an agro‐researcher has to deal with. The potential of scientific research entails the usage of natural, renewable, and abundant raw materials that endow a solution to the agronomical challenges of today's world. Besides being non‐hazardous, biopolymer‐based matrices are pertinent materials that act as a reservoir of micronutrients and are a boon for agronomy, this review explores the synthesis of biomatrices, loading of micronutrients into the bio‐matrix, kinetics, and mechanism of release of micronutrients along with the citations of the biopolymer‐based matrices used till date for the controlled release of micronutrients that would be rewarding for forthcoming research. These green polymeric matrices have been explored a lot for the release of micronutrients iron, copper, and zinc but more research is required for the supplementation of boron, molybdenum, and manganese. The bio‐matrices applied as micronutrient carrier vehicle in agronomy results in enhanced growth, high crop yield, and sustainability.

Computer program for modeling of technical state indicators of electromechanical systems

The article is aimed at solving the problem of scientific justification of criteria and methods for assessing the technical state of electromechanical systems based on the topological diagnostic method. Mathematical model and computer program for simulation of technical state indices of asynchronous electric motors (AEM) are presented. Functions and Green matrices, as well as deviation matrices, are considered as such indicators. The basis of the program is the mathematical model of the AEM with a non-accelerated rotor and non-homogeneous windings. AEM is supplied from pulse voltage source. The action is carried out in different directions of the vector space of the motor in order to determine its characteristics and degree of homogeneity. Based on the reactions of the object, the program calculates and analyzes technical indicators for intact and damaged states of the AEM. A computer program for mathematical modeling of the technical state indicators of the AEM was carried out using the Maple package of symbolic and numerical calculations, which provides extensive opportunities for mathematical studies of various levels. A description of a software implementation of the proposed mathematical model is given. An example of using a program to model the performance of a serial motor with specified technical characteristics is given. The article presents the results of modeling the object indicators corresponding to the object different operational states. A reference state, a damaged state characterized by a change in the properties of the vector space during long-term operation, as well as a limit state, which corresponds to a break in one of the phases of the rotor winding, were defined as these states. Conclusions on each of the given electric motor states are given.

Fabrication of zinc oxide nanorods using plant latex serum as a green matrix for the sustainable management of root-knot nematodes

In this study, zinc oxide nanorods were fabricated using Synadenium grantii latex serum (Sg-ZnO Nrs) as a green matrix. The characterization of Sg-ZnO Nrs was carried out with UV–vis spectroscopy, XRD, FTIR, and FE-SEM. The fabricated Sg-ZnO Nrs was tested for nematicidal activity against second-stage juveniles of Meloidogyne incognita (J2s) in in vitro and pot experiments. Furthermore, the effect of Sg-ZnO Nrs on seed germination was also examined using tomato seeds. The Sg-ZnO Nrs was highly active against J2s with an LC50/48h value of 111.01 µg/mL. In pot experiments, 300 and 400 µg/mL of Sg-ZnO Nrs were most effective in disease control and plant growth parameters. In addition, Sg-ZnO Nrs showed a substantial growth-promoting effect on tomato seed germination and seedling length at 300 and 400 µg/mL concentrations, and concurrently, it induced 97.42 and 100 % J2s mortality in in vitro conditions, respectively.

Development of Hollow Fiber Liquid Phase Microextraction Method for Determination of Diazinon Residues in Vegetable Samples

An extraction method based on a combination of hollow fiber liquid-phase microextraction with high-performance liquid chromatography diode array detector (HF-LPME HPLC-DAD) has been developed and demonstrated to analyze pesticide residues in vegetables. This study aims to determine the optimum extraction conditions and validation performance of this method. Diazinon pesticide was selected as the target model analyte. HF-LPME is performed by stacking microliter organic solvent droplets through an HPLC syringe coated with polypropylene hollow fiber by directly dipping it into the sample solution and stirring it during the extraction process. Finally, the organic solvent was put into an HPLC syringe at the end of the extraction. Then, it was injected into the HPLC-DAD at the wavelength of 247 nm. Several important extraction parameters have been optimized. The optimization results showed the type of organic solvent of n-hexane, the length of the hollow fiber of 1.5 cm, the volume of the sample solution of 20 mL, and the stirring speed of 600 rpm. The validation performance obtained a limit of detection (LoD) of 0.10 mgL-1, limit of quantification (LoQ) of 0.33 mgL-1, percent recoveries of 99.88%, a coefficient of variation of 3% (n=15), and the enrichment factor of 19,982 times. Under optimal conditions, the developed method was applied to extract diazinon in vegetable matrix samples using the spiking method. Mustard green was selected as a model matrix sample. From the research, the percentage recoveries of diazinon obtained in the mustard green matrix sample are 98.80% - 100.41%.

Subdiffusive wave transport and weak localization transition in three-dimensional stealthy hyperuniform disordered systems

The purpose of this work is to understand the fundamental connection between structural correlations and light localization in three-dimensional (3D) open scattering systems of finite size. We numerically investigate the transport of vector electromagnetic waves scattered by resonant electric dipoles spatially arranged in 3D space by stealthy hyperuniform disordered point patterns. Three-dimensional stealthy hyperuniform disordered systems are engineered with different structural correlation properties determined by their degree of stealthiness $\ensuremath{\chi}$. Such fine control of exotic states of amorphous matter enables the systematic design of optical media that interpolate in a tunable fashion between uncorrelated random structures and crystalline materials. By solving the electromagnetic multiple scattering problem using Green's matrix spectral method, we establish a transport phase diagram that demonstrates a distinctive transition from a diffusive to a weak localization regime beyond a critical scattering density that depends on $\ensuremath{\chi}$. The transition is characterized by studying the Thouless number and the spectral statistics of the scattering resonances. In particular, by tuning the $\ensuremath{\chi}$ parameter, we demonstrate large spectral gaps and suppressed subradiant proximity resonances, facilitating light localization. Moreover, consistently with previous studies, our results show a region of the transport phase diagram where the investigated scattering systems become transparent. Our work provides a systematic description of the transport and weak localization properties of light in stealthy hyperuniform structures and motivates the engineering of photonic systems with enhanced light-matter interactions for applications to both classical and quantum devices.

Removing crosstalk effect for high efficient polymer light emitting diode display

For passive matrix organic light emitting diodes, crosstalk effect is serious problem. This problem adversely affects the image quality of display with driver circuit operation. In this study, 16x16 pixel monochrome green emissive passive matrix (PM) OLED Display Module was successfully fabricated which exhibits high efficiency, high luminance uniformity and MIL-STD-3009 night vision (NVIS) compatibility. Current efficiency, power efficiency and external quantum efficiency has been obtained as 22.79 cd/A, 10.23 lm/W and 4.61%, respectively. Additionally, crosstalk effect was removed by adjusting spin rate of the hole injection layer so that display image quality optimally has been achieved.

Wear and corrosion properties of low-cost eggshell-reinforced green AZ91 matrix composites

ABSTRACT The present work deals with the production of economical, recyclable and low-weight magnesium matrix composites with waste eggshell (ES). AZ91 magnesium matrix eggshell reinforced composites were fabricated by the powder metallurgy method, and their tribological and corrosion performances were investigated under different test conditions. Results showed that ES enhanced the microhardness value of unreinforced alloy up to 20.4%. Uniform distribution of eggshell particles in the matrix was achieved according to the microstructural investigations. Eggshell reinforcement exhibited a good lubricant effect and developed wear behaviour in almost all test conditions. When 5 wt-% eggshell was added to the alloy, 36.4 wt-% improvement of wear performance was achieved under the load of 20 N at 100 mm s−1 sliding speed. When the reinforcement content was increased, the corrosion rate began to accelerate. The corrosion rate increased almost four times as the reinforcement ratio increased at low pH values. The design of test conditions and the analysis of output responses were studied by the statistical analysis of Taguchi and analysis of variance (ANOVA). ANOVA indicated that the wear rate and corrosion rate were mainly affected by load (52.7%) and pH (21.7%), respectively.

Wave-field representations with Green's functions, propagator matrices, and Marchenko-type focusing functions.

Classical acoustic wave-field representations consist of volume and boundary integrals, of which the integrands contain specific combinations of Green's functions, source distributions, and wave fields. Using a unified matrix-vector wave equation for different wave phenomena, these representations can be reformulated in terms of Green's matrices, source vectors, and wave-field vectors. The matrix-vector formalism also allows the formulation of representations in which propagator matrices replace the Green's matrices. These propagator matrices, in turn, can be expressed in terms of Marchenko-type focusing functions. An advantage of the representations with propagator matrices and focusing functions is that the boundary integrals in these representations are limited to a single open boundary. This makes these representations a suitable basis for developing advanced inverse scattering, imaging and monitoring methods for wave fields acquired on a single boundary.

Suitability of turning and grinding steel chips to synthesize metal matrix composite via powder metallurgy route

This research work is inspired by the 3Rs: Reduce; Reuse and Recycle enabling the fabrication of green and clean metal matrix composites. In addition to the environmental benefits, recycling of industrial waste produced by metal machining industry have significant financial advantages. Consequently, the present study aimed to explore suitability of the waste chips produced during turning and grinding operations of mild steel for the fabrication of metal-matrix composite (MMCs) through powder metallurgy (P/M) route have been exhibited. Field emission electron microscopy (FESEM) and Energy-dispersive X-ray spectroscopy (EDS) have been used to evaluate morphology and composition of starting materials Flowability and compressibility of the starting materials have been explored using the Hausner’s ratio and Carr’s index respectively. The apparent and tapped densities of the mild steel turning chips (MSTCs) 1.88 and 2.17 g/cc. Further in case of steel grinding chips (SGCs) densities were found to be 1.92 and 2.12 g/cc respectively. On the other hand, the on addition of SGCs(0–30 wt%) to the MSTCs the flowability observed to be retarded a bit. Based on the initial investigations it can be concluded that the waste MSTCs and SGC can suitably be processed through P/M to fabricate sustainable MMCs.

Efficient Flexible Boundary Conditions for Long Dislocations

We present a novel efficient implementation of the flexible boundary condition (FBC) method, initially proposed by Sinclair et al., for large single-periodic problems. Efficiency is primarily achieved by constructing a hierarchical matrix ($\mathscr{H}$-matrix) representation of the periodic Green matrix, reducing the complexity for updating the boundary conditions of the atomistic problem from quadratic to almost linear in the number of pad atoms. In addition, our implementation is supported by various other tools from numerical analysis, such as a residual-based transformation of the boundary conditions to accelerate the convergence. We assess the method for a comprehensive set of examples, relevant for predicting mechanical properties, such as yield strength or ductility, including dislocation bow-out, dislocation-precipitate interaction, and dislocation cross-slip. The main result of our analysis is that the FBC method is robust, easy-to-use, and up to two orders of magnitude more efficient than the current state-of-the-art method for this class of problems, the periodic array of dislocations (PAD) method, in terms of the required number of per-atom force computations when both methods give similar accuracy. This opens new prospects for large-scale atomistic simulations - without having to worry about spurious image effects that plague classical boundary conditions.

Modelling of the reflectance profile of axisymmetrical radiolocation objects using the integral equation method

Based on the first-kind integral equation method for the electric field, the procedure and software for calculating the radar cross-section of axisymmetrical objects, bodies of revolution, are developed. Algorithms are proposed for computation of the matrix of mutual impedances and Green's function of a ring source providing the computation accuracy required for obtaining a stable solution. The method of solution approximation accuracy evaluation by azimuthal harmonics is proposed. Comparison with test examples is carried out and the applicability for solving real-world problems is shown.

Green Hydrogels Composed of Sodium Mannuronate/Guluronate, Gelatin and Biointeractive Calcium Silicates/Dicalcium Phosphate Dihydrate Designed for Oral Bone Defects Regeneration.

Innovative green, eco-friendly, and biologically derived hydrogels for non-load bearing bone sites were conceived and produced. Natural polysaccharides (copolymers of sodium D-mannuronate and L-guluronate) with natural polypeptides (gelatin) and bioactive mineral fillers (calcium silicates CaSi and dicalcium phosphate dihydrate DCPD) were used to obtain eco-sustainable biomaterials for oral bone defects. Three PP-x:y formulations were prepared (PP-16:16, PP-33:22, and PP-31:31), where PP represents the polysaccharide/polypeptide matrix and x and y represent the weight % of CaSi and DCPD, respectively. Hydrogels were tested for their chemical-physical properties (calcium release and alkalizing activity in deionized water, porosity, solubility, water sorption, radiopacity), surface microchemistry and micromorphology, apatite nucleation in HBSS by ESEM-EDX, FT-Raman, and micro-Raman spectroscopies. The expression of vascular (CD31) and osteogenic (alkaline phosphatase ALP and osteocalcin OCN) markers by mesenchymal stem cells (MSCs) derived from human vascular walls, cultured in direct contact with hydrogels or with 10% of extracts was analysed. All mineral-filled hydrogels, in particular PP-31:31 and PP-33:22, released Calcium ions and alkalized the soaking water for three days. Calcium ion leakage was high at all the endpoints (3 h–28 d), while pH values were high at 3 h–3 d and then significantly decreased after seven days (p < 0.05). Porosity, solubility, and water sorption were higher for PP-31:31 (p < 0.05). The ESEM of fresh samples showed a compact structure with a few pores containing small mineral granules agglomerated in some areas (size 5–20 microns). PP-CTRL degraded after 1–2 weeks in HBSS. EDX spectroscopy revealed constitutional compounds and elements of the hydrogel (C, O, N, and S) and of the mineral powders (Ca, Si and P). After 28 days in HBSS, the mineral-filled hydrogels revealed a more porous structure, partially covered with a thicker mineral layer on PP-31:31. EDX analyses of the mineral coating showed Ca and P, and Raman revealed the presence of B-type carbonated apatite and calcite. MSCs cultured in contact with mineral-filled hydrogels revealed the expression of genes related to vascular (CD31) and osteogenic (mainly OCN) differentiation. Lower gene expression was found when cells were cultured with extracts added to the culture medium. The incorporation of biointeractive mineral powders in a green bio-derived algae-based matrix allowed to produce bioactive porous hydrogels able to release biologically relevant ions and create a suitable micro-environment for stem cells, resulting in interesting materials for bone regeneration and healing in oral bone defects.