Physicochemical Characteristics Research Articles

Sulphonated date palm (Phoenix dactylifera) stone via microwave‑assisted H2SO4 activation: optimisation with desirability function for methylene blue adsorption

ABSTRACT In this work, a sulphonated date palm (Phoenix dactylifera) stone (SDPS) was produced as a cost-effective and renewable adsorbent for the removal of a cationic dye called methylene blue (MB). The production process involved the use of microwave irradiation combined with H2SO4 activation under the condition of 600 W microwave radiation for 15 min. The physicochemical characteristics of SDPS were evaluated using various analytical techniques, including XRD, BET, FTIR, pHpzc, and SEM. The Box-Behnken design (BBD) was employed to optimise key adsorption variables, including A: SDPS dosage (0.02–0.1 g/100 mL), B: pH (4–10), and C: contact time (5–25) min. According to the BBD model, the most effective removal of MB (98.4%) occurred with a dosage of 0.06 g/100 mL of SDPS, a pH of 10, and a contact time of 25 min. The rate of adsorption of the MB dye followed a pseudo second order (PSO) model, whereas the equilibrium adsorption was described by the Langmuir and Temkin models. The maximum adsorption capacity (q max ) of SDPS for MB dye was found to be 122.3 mg/g at 25°C. Several contributions to the MB dye adsorption process include electrostatic interactions, H-bonding, pore filling, and π-π stacking onto the SDPS adsorbent surface.

Observation of the Transition from Triple Bonds to Single Bonds between Ru-Ge Bonding in RuGeO(CO)n- (n = 3-5).

This work reports the observation and characterization of heterobinuclear transition-metal main-group metal oxide carbonyl complex anions, RuGeO(CO)n- (n = 3-5), by combining mass-selected photoelectron velocity map imaging spectroscopy and quantum chemistry calculations. The experimentally determined vertical electron detachment energy of RuGeO(CO)3- surpasses those of RuGeO(CO)4- and RuGeO(CO)5-, which is attributed to distinctive bonding features. RuGeO(CO)3- manifests one covalent σ and two Ru-to-Ge dative π bonds, contrasting with the sole covalent σ bond present in RuGeO(CO)4- and RuGeO(CO)5-. Unpaired spin density distribution analysis reveals a 17-electron configuration at the Ru center in RuGeO(CO)3- and an 18-electron configuration in RuGeO(CO)4- and RuGeO(CO)5-. This work closes a gap in the quantitative physicochemical characterization of heteronuclear oxide carbonyl complexes, enhancing our insights into catalytic processes of CO/GeO on the metal surface at the molecular level.

A proof of concept for microcirculation monitoring using machine learning based hyperspectral imaging in critically ill patients: a monocentric observational study

BackgroundImpaired microcirculation is a cornerstone of sepsis development and leads to reduced tissue oxygenation, influenced by fluid and catecholamine administration during treatment. Hyperspectral imaging (HSI) is a non-invasive bedside technology for visualizing physicochemical tissue characteristics. Machine learning (ML) for skin HSI might offer an automated approach for bedside microcirculation assessment, providing an individualized tissue fingerprint of critically ill patients in intensive care. The study aimed to determine if machine learning could be utilized to automatically identify regions of interest (ROIs) in the hand, thereby distinguishing between healthy individuals and critically ill patients with sepsis using HSI.MethodsHSI raw data from 75 critically ill sepsis patients and from 30 healthy controls were recorded using TIVITA® Tissue System and analyzed using an automated ML approach. Additionally, patients were divided into two groups based on their SOFA scores for further subanalysis: less severely ill (SOFA ≤ 5) and severely ill (SOFA > 5). The analysis of the HSI raw data was fully-automated using MediaPipe for ROI detection (palm and fingertips) and feature extraction. HSI Features were statistically analyzed to highlight relevant wavelength combinations using Mann–Whitney-U test and Benjamini, Krieger, and Yekutieli (BKY) correction. In addition, Random Forest models were trained using bootstrapping, and feature importances were determined to gain insights regarding the wavelength importance for a model decision.ResultsAn automated pipeline for generating ROIs and HSI feature extraction was successfully established. HSI raw data analysis accurately distinguished healthy controls from sepsis patients. Wavelengths at the fingertips differed in the ranges of 575–695 nm and 840–1000 nm. For the palm, significant differences were observed in the range of 925–1000 nm. Feature importance plots indicated relevant information in the same wavelength ranges. Combining palm and fingertip analysis provided the highest reliability, with an AUC of 0.92 to distinguish between sepsis patients and healthy controls.ConclusionBased on this proof of concept, the integration of automated and standardized ROIs along with automated skin HSI analyzes, was able to differentiate between healthy individuals and patients with sepsis. This approach offers a reliable and objective assessment of skin microcirculation, facilitating the rapid identification of critically ill patients.

Organic nanoparticles with tunable size and rigidity by hyperbranching and cross-linking using microemulsion ATRP

Unlike inorganic nanoparticles, organic nanoparticles (oNPs) offer the advantage of "interior tailorability," thereby enabling the controlled variation of physicochemical characteristics and functionalities, for example, by incorporation of diverse functional small molecules. In this study, a unique inimer-based microemulsion approach is presented to realize oNPs with enhanced control of chemical and mechanical properties by deliberate variation of the degree of hyperbranching or cross-linking. The use of anionic cosurfactants led to oNPs with superior uniformity. Benefitting from the high initiator concentration from inimer and preserved chain-end functionality during atom transfer radical polymerization (ATRP), the capability of oNPs as a multifunctional macroinitiator for the subsequent surface-initiated ATRP was demonstrated. This facilitated the synthesis of densely tethered poly(methyl methacrylate) brush oNPs. Detailed analysis revealed that exceptionally high grafting densities (~1 nm-2) were attributable to multilayer surface grafting from oNPs due to the hyperbranched macromolecular architecture. The ability to control functional attributes along with elastic properties renders this "bottom-up" synthetic strategy of macroinitiator-type oNPs a unique platform for realizing functional materials with a broad spectrum of applications.

Physicochemical Characterization of the Particulate Matter in New Jersey/New York City Area, Resulting from the Canadian Quebec Wildfires in June 2023.

The global increase in wildfires, primarily driven by climate change, significantly affects air quality and health. Wildfire-emitted particulate matter (WFPM) is linked to adverse health effects, yet the toxicological mechanisms are not fully understood given its physicochemical complexity and the lack of spatiotemporal exposure data. This study focuses on the physicochemical characterization of WFPM from a Canadian wildfire in June 2023, which affected over 100 million people in the US Northeast, particularly around New Jersey/New York. Aerosol systems were deployed to characterize WFPM during the 3 day event, revealing unprecedented mass concentrations mainly in the WFPM0.1 and WFPM0.1-2.5 size fractions. Peak WFPM2.5 concentrations reached 317 μg/m3, nearly 10 times the National Ambient Air Quality Standard (NAAQS) 24 h average limit. Chemical analysis showed a high organic-to-total carbon ratio (96%), consistent with brown carbon wildfires nanoparticles. Large concentrations of high-molecular-weight PAHs were found predominantly bound to WFPM0.1, with retene, a molecular marker of biomass burning and a known teratogen, being the most abundant (>70%). Computational modeling estimated a total lung deposition of 9.15 mg over 72 h, highlighting the health risks of WFPM, particularly due to its long-distance travel capability and impact on densely populated areas.

A Comparative Study of Dairy and Non-Dairy Milk Types: Development and Characterization of Customized Plant-Based Milk Options

Plant-based milk has gained considerable attention; however, its high nutritional variation highlights the need for improved formulation designs to enhance its quality. This study aimed to nutritionally compare cow milk with plant-based milk produced from hazelnuts (H), Brazil nuts (BN), cashew nuts (CN), soybeans (S), and sunflower seeds (SS), and to perform physicochemical and technological characterization. The plant-based milk produced with isolated grains showed a nutritional composition inferior to that of cow milk in almost all evaluated parameters, protein content (up to 1.1 g 100 g−1), lipids (up to 2.7 g 100 g−1), color parameters, minerals, and especially calcium (up to 62.4 mg L−1), which were originally high in cow milk (up to 1030 mg L−1). However, the plant-based milk designed using a blend composition was able to promote nutritional enhancement in terms of minerals, especially iron (Fe) and magnesium (Mg), high-quality lipids (up to 3.6 g 100 g−1), and carbohydrates (3.4 g 100 g−1 using CN, BN, and S). The protein content was 1.3% compared to 5.7 in cow milk, and the caloric value of plant-based milk remained 32.8 at 52.1 kcal, similar to cow milk. Satisfactory aspects were observed regarding the shelf life, especially related to microbiological stability during the 11 d of storage at 4 °C. For the designed plant-based milk to be equivalent to cow milk, further exploration for optimizing the blends used to achieve better combinations is required. Furthermore, analyzing possible fortification and preservation methods to increase shelf life and meet the nutritional and sensory needs of the public would be interesting.

Surface and physicochemical characteristics of KSF-clay in a liquid esterification process: The boundaries between heterogeneous catalyst and precatalysts support

Surface and physicochemical characteristics of KSF-clay in a liquid esterification process: The boundaries between heterogeneous catalyst and precatalysts support

Linking the composition of cryoconite prokaryotic communities in the Arctic, Antarctic, and Central Caucasus with their chemical characteristics

Cryoconites are the deposits on the surface of glaciers that create specific ecological niches for the development of microorganism communities. The sediment material can vary in origin, structure, and nutrient content, creating local variations in the growth conditions. An additional factor of variability is the location of the glaciers, as they are found in different climatic zones in the high mountain regions and closer to the poles. Here, using the analysis of amplicon sequencing of the 16S rRNA gene, we studied the taxonomic composition of the prokaryotic communities from glaciers from remote regions, including the Arctic (Mushketova on the Severnaya Zemlya, IGAN in Polar Ural), Antarctic (Pimpirev on the Livingstone Island) and Central Caucasus (Skhelda and Garabashi) and connected it with the variation of the physicochemical characteristics of the substrate: pH, carbon, nitrogen, macro- and microelements. The cryoconite microbiomes were comprised of specific for this environment phyla (mostly Pseudomonadota, Cyanobacteria, Bacteroidota, Acidobacteriota, and Actinobacteriota), but each glacier had a unique taxonomic imprint. The core microbiome between regions was composed of only a few ASVs, among which the most likely globally distributed ones attributed to Polaromonas sp., Rhodoferax sp., Cryobacterium sp., and Hymenobacter frigidus. The WGSNA defined clusters of co-occurring ASVs between microbiomes, that significantly change their abundance corresponding with the variation of chemical parameters of cryoconites, but do not fully coincide with their regional separation. Thus, our work demonstrates that the chemical characteristics of the sediment material can explain the variation in the cryoconite prokaryotic community which is not always linked to geographic isolation.

Analysis of the Sensory Profile and Physical and Physicochemical Characteristics of Amazonian Cocoa (Theobroma cacao L.) Beans Produced in Different Regions

The cocoa tree (Theobroma cacao L.) has seeds that after processing become a valuable agricultural commodity in the world. In Brazil, the state of Pará located in the Eastern Amazon is the main producer, accounting for more than 53% of the national production. Although the region is the largest producer, no studies are found in the literature containing data on the sensory quality of the beans. Thus, the purpose of this study is to establish the sensory profile of Amazonian cocoa from the main cocoa-producing regions of the Eastern Amazon (Lower Tocantins River, Northeast, West, Southeast and Trans-Amazon). The sensory profile was established from the Quantitative Descriptive Analysis (QDA), in addition to using an affective test to verify consumer preference for the chocolates produced. Physical, physicochemical and bioactive compound evaluations were carried out. Beans from different regions had a similar sensory profile; however, it was possible to observe some differences in certain descriptor terms. In the physical evaluation, the samples presented an acceptable commercial standard, and the humidity was within the values established by the legislation. It was found that the post-harvest and/or processing parameters had no influence on the quality attributes of cocoa beans.

Characterization of Several Pellets from Agroforestry Residues: A Comparative Analysis of Physical and Energy Efficiency

The use of agroforestry biomass provides several advantages, both from an environmental point of view, in terms of the mitigation of global warming, and in terms of a circular economy for agricultural or agroforestry companies that reuse pruning residues as a source of energy. However, even if the use of energy pellets resulting from the pruning residues of various agroforestry species has excellent potential for the valorization of agricultural by-products, the physicochemical characteristics of these pellets have been scarcely studied by the scientific community. In this context, this study aims to assess the valorization potential of various lignocellulosic material residues produced during agroforestry activities. The objectives of the study include evaluating the chemical and physical characteristics of pellets produced with different mixtures of agroforestry biomass (olive, citrus, black locust, poplar, paulownia, etc.) in order to determine the optimal pellet blend from an energy and physicochemical perspective. The results of this study demonstrate that this comprehensive analysis provides valuable information on the optimization of biomass mixtures for better energy valorization, addressing both compositional and combustion-related challenges. In fact, it is observed that the addition of citrus and olive biomass to the various mixtures increases their energy potential. Furthermore, all of the pellets analyzed are found to possess an adequate and useful durability index (PDI) for their handling during storage and transport operations. This study demonstrates that olive and citrus pruning residues can be used to improve biomasses that have poor suitability in energetic, physical, and chemical terms. Further studies could be useful to understand which specific interaction mechanisms have an influence on emissions in order to optimize mixtures using different biomass sources for sustainable energy production.

Physicochemical Characteristics of Beef Meatballs at Various Post Mortem Phases with the Addition of Seaweed Flour (Gracillaria sp.)

The post-mortem phase of meat influences the physicochemical quality of the beef meatballs produced. The post mortem phase is the phase that meat goes through after slaughter. The post mortem phase is divided into 3, namely prerigor, rigor mortis and post rigor. Seaweed (Gracillaria sp.) can be used as a natural chewy meatball. This research aims to determine the best treatment combination between the post-mortem phase of meat and the addition of seaweed flour on the physicochemical characteristics and preferences of beef meatballs. This research used a completely randomized design with a factorial pattern with 2 factors with two replications. Factor I is the post mortem phase (pre-rigor, rigormortis and post-rigo). Factor II is the addition of seaweed flour (3%, 4% and 5%). The observation data were analyzed using ANOVA, if there were significant differences, the Duncan Multiple Range Test was carried out at the 5% level. The best treatment results were pre-rigor beef treatment with the addition of 5% seaweed flour, producing meatballs with characteristics of 69.05% water content, 2.93% ash content, 1.55% fat, 12.49% protein, 12.92N elasticity level, 47.22% water holding capacity. , Color preference level 4 (like really), aroma 4.07 (like really), taste 4.17 (like really) and texture 4.50 (like really).

Design of Alginate/Gelatin Hydrogels for Biomedical Applications: Fine-Tuning Osteogenesis in Dental Pulp Stem Cells While Preserving Other Cell Behaviors

Alginate/gelatin (Alg-Gel) hydrogels have been used experimentally, associated with mesenchymal stromal/stem cells (MSCs), to guide bone tissue formation. One of the main challenges for clinical application is optimizing Alg-Gel stiffness to guide osteogenesis. In this study, we investigated how Alg-Gel stiffness could modulate the dental pulp stem cell (DPSC) attachment, morphology, proliferation, and osteogenic differentiation, identifying the optimal conditions to uncouple osteogenesis from the other cell behaviors. An array of Alg-Gel hydrogels was prepared by casting different percentages of alginate and gelatin cross-linked with 2% CaCl2. We have selected two hydrogels: one with a stiffness of 11 ± 1 kPa, referred to as “low-stiffness hydrogel”, formed by 2% alginate and 8% gelatin, and the other with a stiffness of 55 ± 3 kPa, referred to as “high-stiffness hydrogel”, formed by 8% alginate and 12% gelatin. Hydrogel analyses showed that the average swelling rates were 20 ± 3% for the low-stiffness hydrogels and 35 ± 2% for the high-stiffness hydrogels. The degradation percentage was 47 ± 5% and 18 ± 2% for the low- and high-stiffness hydrogels, respectively. Both hydrogel types showed homogeneous surface shape and protein (Alg-Gel) interaction with CaCl2 as assessed by physicochemical characterization. Cell culture showed good adhesion of the DPSCs to the hydrogels and proliferation. Furthermore, better osteogenic activity, determined by ALP activity and ARS staining, was obtained with high-stiffness hydrogels (8% alginate and 12% gelatin). In summary, this study confirms the possibility of characterizing and optimizing the stiffness of Alg-Gel gel to guide osteogenesis in vitro without altering the other cellular properties of DPSCs.

Study of Proportions of Porang Slurry and Coconut Milk and the Addition of Podang Mango Fruit on the Physicochemical And Organoleptic Characteristics of Plant Based Ice Cream

This research aims to determine the effect of the substitution of coconut milk and porang tuber porridge and the addition of podang mango on the physicochemical and organoleptic quality of vegetable ice cream. The research used a Completely Randomized Design (CRD) with two factors and two replications. Data analysis using ANOVA was continued with the Duncan multiple range test (DMRT) at a confidence level of 5%. The first factor is the substitution of porang tuber slurry for coconut milk (10:90 (A1), 20:80 (A2), 30:70 (A3)). The second factor is the concentration of podang mango (15% (B1), 20% (B2), 25% (B3)). Parameters observed include protein content, overrun, melting speed, color analysis, total dissolved solids, viscosity, fat content, dietary fiber, vitamin C, and organoleptic analysis including texture, aroma, color, and taste. The results of the treatment of porang tuber slurry substitution for coconut milk and the concentration of porang mango had a significant effect on protein content, total solids, overrun, melting time, and viscosity. The best treatment in this study was vegetable ice cream with the substitution of porang tuber slurry for coconut milk (30:70%) and the addition of podang mango (15%) with a protein content of 4.09%, fat content of 3.99%, the dietary fiber content of 4.38%, vitamin C of 26.27%, melting time 18.46 minutes, overrun of 23.09%, viscosity of 1685%, total solids of 38.07%, lightness of 64.60, redness of 47.70, yellowness of 79.21, and average hedonic value of color of 4.0, aroma of 3.67, taste 3.4, and texture of 3.7.

Physicochemical and sensory characteristics of a breakfast cereal made from sprouted finger millet-maize composite flour

Physicochemical and sensory characteristics of a breakfast cereal made from sprouted finger millet-maize composite flour

The Effect of Different Stabilizers on the Characteristics of Gluten-Free Dried Noodle from Arrowroot and Mung bean Flour

Dry noodles are one of the foods made from wheat flour. The availability of wheat in Indonesia does not match consumer demand, necessitating the use of alternative ingredients such as arrowroot flour and mung bean flour. The use of stabilizers like CMC, STPP, and Xanthan Gum is needed to improve the characteristics of dry noodles. This research aims to determine the effect of the proportion of arrowroot flour and mung bean flour with different types of stabilizers on the physicochemical and organoleptic characteristics of dry noodles. The experimental design used was a factorial CRD with two factors. Factor I was the proportion of arrowroot flour and mung bean flour and Factor II was the addition of different types of stabilizers. Data were analyzed using 5% ANOVA and 5% DMRT. There was a significant interaction (p≤0.05) on the moisture content, ash, protein, fat, starch, rehydration capacity, cooking loss, elasticity, and organoleptic characteristics of aroma, texture, and overall appearance. There were no significant differences in the organoleptic characteristics of color and taste. The best treatment was the proportion of arrowroot flour and mung bean flour (60:40) with the addition of CMC stabilizer, which resulted in dry noodles with the following characteristics: moisture 11.392%, ash 1.919%, protein 11.592%, fat 1.378%, starch 54.720%, rehydration capacity 110.266%, cooking loss 6.398%, elasticity 0.314 N, aroma 4.200, color 4.040, taste 3.800, texture 4.200, and overall appearance 4.160.

The concentrations and behavior of classic phthalates and emerging phthalate alternatives in different environmental matrices and their biological health risks.

Because of their excellent plasticity, phthalates or phthalic acid esters (PAEs) are widely used in plastic products. However, due to the recognized toxicity of PAEs and legislative requirements, the production and use of emerging PAE alternatives have rapidly grown, such as di-isononyl cyclohexane-1,2-dicarboxylate (DINCH) and di(2-ethylhexyl) terephthalate (DEHTP) which are the primary replacements for classic PAEs. Nowadays, PAEs and emerging PAE alternatives are frequently found in a variety of environmental media, including the atmosphere, sludge, rivers, and seawater/sediment. PAEs and emerging PAE alternatives are involved in endocrine-disrupting effects, and they affect the reproductive physiology of different species of fish and mammals. Therefore, their presence in the environment is of considerable concern due to their potential effects on ecosystem function and public health. Nevertheless, current research on the prevalence, destiny, and conduct of PAEs in the environment has primarily focused on classic PAEs, with little attention given to emerging PAE alternatives. The present article furnishes a synopsis of the physicochemical characteristics, occurrence, transport, fate, and adverse effects of both classic PAEs and emerging PAE alternatives on organisms in the ecosystem. Our analysis reveals that both classic PAEs and emerging PAE alternatives are widely distributed in all environmental media, with emerging PAE alternatives increasingly replacing classic PAEs. Various pathways can transform and degrade both classic PAEs and emerging PAE alternatives, and their own and related metabolites can have toxic effects on organisms. This research offers a more extensive comprehension of the health hazards associated with classic PAEs and emerging PAE alternatives.

Physical, Chemical and Microbiological Changes in Mango Varieties When Cryopreserved Using Solar Energy

Fruits and vegetables are highly perishable living tissues that maintain their metabolic activity even after harvest. This study aimed to monitor the changes of physicochemical and microbiological parameters of two varieties of mango (Valencia and Camerounaise) during conservation in a photovoltaic cold room. The mangoes were stored at 10-12°C with a relative humidity of 80-90% for 3 weeks (Valencia) and 7 weeks (Camerounaise). Mango samples were taken every week for analyses. The physicochemical and microbiological parameters of mangoes were determined using standard methods. Results showed an increase in the reduced sugar content of mangoes (3.12±0.01-4.79±0.02 % for the Valencia variety and 3.01±0.08-6.22±0.02 % for the Camerounaise variety). The water content of the mango remained practically constant (85.42 % to 85.40 %) for the Valencia variety. However, an increase was observed for the Camerounaise variety (86.26±0.00-87.29±0.03 %). The titratable acidity of mangoes decreased (1.07±0.03-0.67±0.01 %) and their Brix level increased (9.8±0.01-16.20±0.01 % for the Valencia variety and 8.00±0.00-13.50±0.14 % for the Camerounaise variety). The maximum relative mass loss observed was 8.25 % for the Camerounaise variety. Regarding the microbiological analyses, the results showed a reduction in total flora and yeast and mold loads during storage. Storage in a solar cold room of fresh mangoes picked at physiological maturity and pretreated in accordance with good hygiene practices, delays the ripening process, inhibits the proliferation of surface microorganisms, preserves the physicochemical characteristics and extends the shelf life of the mangoes. Preserved mangoes are of good quality.

Enhancement in sugar extraction from Pistia stratiotes through statistical optimization of alkaline pre-treatment and enzymatic hydrolysis

In lignocellulosic biomass, reducing structural recalcitrance and enhancing hydrolysis efficiency are crucial factors for increasing fermentable sugars and the production of valuable products. This biomass substrate comprises lignin, hemicellulose, and cellulose. In this study, response surface methodology was employed to optimise alkaline pre-treatment followed by enzymatic hydrolysis, aiming to enhance the saccharification of Pistia stratiotes. The NaOH concentration during pre-treatment significantly influenced the delignification process, resulting in increased cellulose content. The highest cellulose content was achieved with 2.47% NaOH at 120 °C for 60 min, leading to enhanced cell porosity and facilitating greater enzyme saccharification accessibility. Under these optimized conditions, the sample exhibited a 51.66% cellulose content. The physicochemical characteristics of the cellulose obtained after pre-treatment were analysed using SEM, FTIR, and TGA. After enzymatic hydrolysis of the cellulose with a commercially available cellulase enzyme, 31.06 g/L of reduced sugar was produced after 72 h. This study demonstrates that alkaline pre-treatment of Pistia stratiotes significantly increased its cellulose content, leading to a higher sugar yield during enzymatic hydrolysis.

Metal-organic frameworks: synthesis, properties, wound dressing, challenges and scopes in advanced wound dressing.

Wound healing is a critical but complex biological process of skin tissue repair and regeneration resulting from various systems working together at the cellular and molecular levels. Quick wound healing and the problems associated with traditional wound repair techniques are being overcome with multifunctional materials. Over time, this research area has drawn significant attention. Metal-organic frameworks (MOFs), owning to their peculiar physicochemical characteristics, are now considered a promising class of well-suited porous materials for wound healing in addition to their other biological applications. This detailed literature review provides an overview of the latest developments in MOFs for wound healing applications. We have discussed the synthesis, essential biomedical properties, wound-healing mechanism, MOF-based dressing materials, and their wound-healing applications. The possible major challenges and limitations of MOFs have been discussed, along with conclusions and future perspectives. This overview of the literature review addresses MOFs-based wound healing from several angles and covers the most current developments in the subject. The readers may discover how the MOFs advanced this discipline by producing more inventive, useful, and successful dressings. It influences the development of future generations of biomaterials for the healing and regeneration of skin wounds.

Characteristics of Flakes from Kepok Banana Flour and Black Rice Flour with Variation of Steaming Time

This research has the objective to determine the effect of flour rasio kepok banana and black rice Black rice flour with variations in steaming time on physicochemical characteristics of flakes. This research used a randomized design Complete (RAL) factorial pattern with two factors and two replications. The first factor is thr proportion of kepok banana flour: black rice flour (30%: 70%, 40% : 60% and 50%:50%) and the second factor is the length of steaming time (10 minutes, 15 minutes, 20 mintes minutes). The data obtained was analyzed using ANOVA and followed by Duncan Multiple Range Te. Multiple Range Test (DMRT) at the 5% level. The results of the research showed that there There was interaction. There was a significant difference between the treatments of kepok banana flour: black rice flour on moisture content, starch content and water absorption. The best treatment is Banana flour : black rice flour on moisture content, starch content and water absorption. The best treatment is flakes with a proportion of 50% kepok banana flour and 50% black rice flour and a steaming time of 10 minutes produced flakes with characteristics of the value value of water content 4.77%, ash content 2.12%, fat content 8.35%, content protein 5. 5 5,56% starch content 78.01% water absorption 24.96%, hardness 414.57N and dietary Fiber content of 5.22 %, calcium content of 169.89mg/100g and the average of favorability favorability scores for taste (3.83), color (4.80), aroma (4.20) and textire (3.37)