Process Conditions Research Articles

A novel strategy for waste activated sludge treatment: Recovery of structural extracellular polymeric substances and fermentative production of volatile fatty acids

Structural extracellular polymeric substances (SEPS) as valuable biopolymers, can be extracted from waste activated sludge (WAS). However, the extraction yield is typically low, and detailed information on SEPS characterizations, as well as proper treatment of the sludge after SEPS extraction, remains limited. This study aimed to optimize the conditions of heating-Na2CO3 extraction process to increase the yield of SEPS extracted from WAS. Subsequently, SEPS were characterized, and, for the first time, insights into their protein composition were uncovered by using proteomics. A maximum SEPS yield of 209 mg/g volatile solid (VS) was obtained under optimal conditions: temperature of 90°C, heating time of 60 min, Na+ dosage of 8.0 mmol/g VS, and pH required to precipitation of 4.0, which was comparable to that from the aerobic granular sludge reported in literature. Proteomics analysis unveiled that the proteins in SEPS primarily originated from microorganisms involved in nitrogen fixation and organic matter degradation, including their intracellular and membrane-associated regions. These proteins exhibited various catalytic activities and played crucial roles in aggregation processes. Besides, the process of SEPS extraction significantly enhanced volatile fatty acid (VFA) production during the anaerobic fermentation of residual WAS after SEPS extraction. A maximum VFA yield of 420 ± 14 mg COD/g VSadded was observed in anaerobic fermentation of 10 d, which was 77.2 ± 0.1% higher than that from raw sludge. Mechanism analysis revealed that SEPS extraction not only improved WAS disintegration and solubilization but also reduced the relative activity of methanogens during anaerobic fermentation. Moreover, SEPS extraction shifted the microbial population during anaerobic fermentation in the direction towards hydrolysis and acidification such as Fermentimonas sp. and Soehngenia sp. This study proposed a novel strategy based on SEPS extraction and VFA production for sludge treatment, offering potential benefits for resource recovery and improved process efficiency.

Analysis of Peel Strength Characteristics according to Plasma Surface Treatment Process Conditions

Analysis of Peel Strength Characteristics according to Plasma Surface Treatment Process Conditions

Process Optimization of Pressure-induced Autoclave Foaming of Polylactide by Supercritical CO<sub>2</sub> Using Central Composite Design of Response Surface Methodology

A pressure-induced autoclave foaming assisted by supercritical CO2 of degradable polylactide (PLA) has been developed. A central composite design (CCD) of response surface methodology (RSM) is used to optimize three distinct process conditions: foaming temperature, pressure, and time. The mathematical model built for examining the effect of process conditions on the foam density and volume expansion ratio was verified and determined to be acceptable with an R-square value derived from the regression model of 0.930 and 0.934, respectively. The experimental and statistical results showed that of the three factors examined, the foaming pressure had the greatest impact on the density and volume expansion ratio of the PLA foams. The foaming temperature and time also had significant interaction impacts on both responses. It was observed that the following conditions are optimal for foaming of PLA, with a maximum VER of 10.107 and a minimum foam density of 0.123 g/cc: foaming temperature of 165.86 °C and foaming pressure of 152.4 bar for 2.38 h of foaming time.

«Theory of everything»: types of information and the theory of interpretation in «Philosophy of chance» by Stanisław Lem

The article is focused on the S. Lem’s perspective of the literary work as a product of the reader’s apprehension of the text in the culture discourse. The aim of the research is to describe the Lem’s view on the structure of the text; Lem’s encounter as a writer, a reader, and a philosopher is used to state the conditions and characteristics of the text interpretation. By the means of multiple introspection the author of “Philosophy of chance” devotes his research to the explanation of his model of the literary work as a product of the social-cultural existence. Moreover, the author’s aim is to state the characteristics of the text creation and interpretation. Therefore, the research shows a new, “cybernetic” approach to the text interpretation based on the comparison between the text structural characteristics and the rules of the mathematical theory of probability and the theory of information. The futurological view lies in the hypothesis about the text as a “self-learning program” (also known as a neuronet) which can transform due to the developing conditions of the interpretation process. As a matter of fact, S. Lem highlights two types of information: selective and structural. Both types might be identified in the text, but that depends on the reader, his encounter and expertise.

The Effect of Tutorial Instructional Model Based on E- Learning Towards Students’ TIK Subject Matter Achievement in X SMAN 1 East Praya, Central Lombok in Academic Year 2016/ 2017

The goals of suitable instructional model were for creating the condusive condition in teaching and learning process. With the condusive condition the students would be more active and fun in learning the materials. The conventional method was one of the engender students’ achievement were low. Based on the background, the problem statement here, was there an Effect of Tutorial Instructional Model Based on E-Learning Towards Students’ TIK Subject Matter Achievement in X SMAN 1 East Praya, Central Lombok in Academic Year 2016/ 2017?. While the purposed of this study was for knowing the Effect of Tutorial Instructional Model Based on E-Learning Towards Students’ TIK Subject Matter Achievement in X SMAN 1 East Praya, Central Lombok in Academic Year 2016/ 2017. Further more, this study used Cluster Random Sampling in taking sample. Besides that the collecting data here used tests as a main method while the documentation, observation and interview as acomplement method. Thus for the data analysis used T-test. Based on the data analysis found t-test as a 4,475 and t- table 2,048 in significance level 5% with d.b (N-1)= 29-1= 28. On the other words t-test was bigger than t-table (4,475> 2,048) which means (Ha) was accepted and (Ho) was rejected thus for, there was an Effect of Tutorial Instructional Model Based on E-Learning Towards Students’ TIK Subject Matter Achievement in X SMAN 1 East Praya, Central Lombok in Academic Year 2016/ 2017. Shortly, this study was “significance”.

Defining Golden Batches in Biomanufacturing Processes From Internal Metabolic Activity to Detect Process Changes That May Affect Product Quality.

Cellular metabolism plays a role in the observed variability of a drug substance's Critical Quality Attributes (CQAs) made by biomanufacturing processes. Therefore, here we describe a new approach for monitoring biomanufacturing processes that measures a set of metabolic reaction rates (named Critical Metabolic Parameters (CMP) in addition to the macroscopic process conditions currently being used as Critical Process Parameters (CPP) for biomanufacturing. Constraint-based systems biology models like Flux Balance Analysis (FBA) are used to estimate metabolic reaction rates, and metabolic rates are used as inputs for multivariate Batch Evolution Models (BEM). Metabolic activity was reproducible among batches and could be monitored to detect a deliberately induced macroscopic process shift (i.e., temperature change). The CMP approach has the potential to enable "golden batches" in biomanufacturing processes to be defined from the internal metabolic activity and to aid in detecting process changes that may impact the quality of the product. Overall, the data suggested that monitoring of metabolic activity has promise for biomanufacturing process control.

Ultra-high pressure assisted extraction of water-soluble polysaccharides from Moringa oleifera seed husks and their antioxidant activities

ABSTRACT The process conditions and antioxidant activity of ultra-high pressure assisted extraction of polysaccharides from Moringa oleifera seed husks were studied. Taking the yield of polysaccharides as the index, the effects of degree of crushing, extraction pressure, holding pressure time and material-to-liquid ratio on the yield of polysaccharides from Moringa oleifera seed husks were investigated. The optimal extraction conditions were determined by single-factor test and orthogonal test: a holding time of 10 min, a material-to-liquid ratio of 1:25, an extraction pressure of 350 MPa, and a polysaccharide yield of 0.264%. Its antioxidant activity can be determined by measuring the total antioxidant capacity and their ability to scavenge DPPH and ·OH radicals. The results showed that the IC50 of Moringa oleifera seed husk polysaccharides on DPPH and hydroxyl radicals were 0.0662 g/L and 0.0844 g/L, respectively. The total antioxidant capacity was 0.1826 mm/g (expressed as the equivalent concentration of ferrous sulfate). Compared with hot water extraction methods, ultra-high pressure assisted extraction methods can shorten extraction time, improve extraction efficiency. The water-soluble polysaccharides extracted from Moringa oleifera seed husks by ultra-high pressure assisted extraction technology also have higher antioxidant activity than that by hot water extraction method at the same concentration.

Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning

ABSTRACT This study investigates the effects of process parameters including scanning strategy, build orientation, and hatching distance on the mechanical properties of AlSi10Mg parts produced by Laser Powder Bed Fusion (L-PBF). The experiment varied these parameters within defined ranges and used statistical analysis to evaluate their impact on tensile strength and ductility. Results showed that scanning strategy had the greatest influence, followed by hatching distance, while build orientation affected anisotropic properties. Microstructural analysis showed clear correlation between process conditions and mechanical strength, thereby showing the underlying mechanisms that govern material behavior. Moreover, Machine learning models, including Random Forest Regression (RFR), Support Vector Regression (SVR), and Artificial Neural Networks (ANNs), were applied to predict tensile strength and ductility characteristics. RFR and SVR outperformed ANNs, showing high predictive accuracy with limited datasets. These findings emphasize the importance of optimizing L-PBF process parameters to minimize anisotropy and achieve consistent mechanical properties in produced parts.

The Influence of Selected Parameters of Recycled Polyvinyl Butyral on the Sustainable Filament Extrusion Process

In recent years, sustainability has permeated nearly every aspect of our lives, and the manufacturing sector is no exception. The terms “sustainable manufacturing” and “zero-waste manufacturing” are now part of our everyday vocabulary. This study, which explores the influence of key parameters on the filament extrusion process using recycled polyvinyl butyral (PVB), which is an amorphous polymer commonly obtained from the glass recycling industry, has significant practical implications. By determining the optimal conditions for the extrusion process, we can enhance the mechanical properties of the produced PVB filament yarns and their printability. As a result of identifying errors, optimizing the process, and eliminating the resulting shortcomings, a fiber made of PVB material with a diameter of 1.75 mm (±0.06 mm) was created that can be used in most FDM devices. The length of the created fiber was approx. 20 m, and in the presentation of the results, it will be used for printing samples, adhesion tests to the printing mat, shrinkage tests, and tensile tests of the fiber. After removing all the shortcomings, the ideal extrusion temperature was at 155 °C. This temperature was verified using microscopic cross-sections, and deformations or changes were observed in their cross-sections. The deviation of the material currently undergoing testing for the adhesion of PVB to various types of print beds, which was found suitable for use in FFF devices, was 1.75 −0.25/+0.25. This, in turn, can significantly expand the application of these materials in additive manufacturing, thereby making a substantial contribution to the advancement of sustainable manufacturing.

Artificial intelligence assisted prediction of optimum operating conditions of shell and tube heat exchangers: A grey‐box approach

AbstractIn this study, a Grey‐box (GB) model was developed to predict the optimum mass flow rates of inlet streams of a Shell and Tube Heat Exchanger (STHE) under varying process conditions. Aspen Exchanger Design and Rating (Aspen‐EDR) was initially used to construct a first principle model (FP) of the STHE using industrial data. The Genetic Algorithm (GA) was incorporated into the FP model to attain the minimum exit temperature for the hot kerosene process stream under varying process conditions. A dataset comprised of optimum process conditions was generated through FP‐GA integration and was utilised to develop an Artificial Neural Networks (ANN) model. Subsequently, the ANN model was merged with the FP model by substituting the GA, to form a GB model. The developed GB model, that is, ANN and FP integration, achieved higher effectiveness and lower outlet temperature than those derived through the standalone FP model. Performance of the GB framework was also comparable to the FP‐GA approach but it significantly reduced the computation time required for estimating the optimum process conditions. The proposed GB‐based method improved the STHE's ability to extract energy from the process stream and strengthened its resilience to cope with diverse process conditions.

Thermodynamic Modeling of an Aqueous N,N-Dimethyldipropylenetriamine and Benzylamine Blend for Efficient CO2 Capture.

This study evaluates the carbon dioxide (CO2) capture capabilities of a novel aqueous blend of N,N-dimethyldipropylenetriamine (DMDPTA) and benzylamine (BA). The solvent properties such density, vapor- liquid equilibrium (VLE) of CO2 in the solvent, CO2 absorption enthalpy are evaluated experimentally for solvent composition of (5 mass% DMDPTA + 25 mass% BA), (10 mass% DMDPTA + 20 mass% BA), and (15 mass% DMDPTA + 15 mass% BA). Solvent density were measured in the temperature range of 303.15K-333.15K and correlated using Redlich-Kister excess molar volume model, with a low average absolute relative deviation (AARD) of 0.014. VLE data was measured using a custom-made stirred VLE cell, within CO2 partial pressure range of 2-200 kPa and at temperatures 313.15K, 323.15K and 333.15K. Equilibrium CO2 solubility data were correlated using a modified Kent-Eisenberg model, achieving an AARD of 1.5%. Enthalpy of CO2 absorption was measured at 313.15 K using a Meter Toledo reaction calorimeter. Results indicated that under similar process conditions and solvent composition, (DMDPTA+BA) blends exhibited significantly higher CO2 loading and low absorption enthalpy compared to aqueous BA and monoethanolamine (MEA) solvent alone indicating the potential of (DMDPTA+BA) blend as efficient CO2 capture solvent.

Additive manufacturing of polyamide 12 bulk structures using directed energy deposition with a thulium laser: Effect of process conditions on morphology and mechanical performance

Laser-based directed energy deposition of polymers (DED-LB/P) is a highly flexible additive manufacturing process capable of fabricating three-dimensional structures with a high degree of customization on free-form surfaces. In this article, the manufacturability of polyamide 12 bulk structures using DED-LB/P in combination with a thulium laser operating at a wavelength of 1.94 μm is investigated for the first time. The typical absorption bands at this wavelength eliminate the need for additives such as carbon-based nanoparticles, which would limit the range of applications. The generated structures were analyzed regarding porosity, thermal behavior, and mechanical properties to evaluate the potential of DED-LB/P with a thulium laser. As a consequence of the evaporation of absorbed moisture or ethanol residues resulting from powder preparation, a thermal pretreatment of the polymer powder reduced the porosity of the DED-LB/P structures to 0.9%. Depending on the processing parameters, the crystallinity of the produced structures ranged from 25.6% to 29.9%. For the tensile tests, the required geometries were milled from the DED-LB/P bulk structures. The results show that an ultimate tensile strength of up to 52 MPa, an elongation at break of up to 58%, and Young's modulus of up to 1590 MPa can be achieved. These remarkable mechanical properties are primarily attributed to the complete melting of the powder particles in DED-LB/P and the improved surface quality resulting from the milling process.

TƏLƏBƏLƏRİN UNİVERSİTET HƏYATINA UYĞUNLAŞMASINDA ALİ MƏKTƏB MÜƏLLİMİNİN PEDAQOJİ MƏDƏNİYYƏTİNİN ƏHƏMİYYƏTİ

When a person suddenly enters a new life that he does not know, it is both very exciting and difficult for him. A young student who has just arrived at the university experiences very mixed emotions. It is both joyful and meets new friends, new subjects, teachers and a new learning process. The article exam¬ines the relationship between the teacher's pedagogical culture and the process of students' adaptation to the conditions of the teaching process in the higher school; At the same time, the essence and content of the con¬cepts of "adaptation" and "pedagogical skill" are revealed. The pedagogical skill of a high school teacher is considered as a complex system consisting of many interconnected components, among which the teacher's personal qualities, special pedagogical ability, high organizational culture and, most importantly, deep pro¬fessional knowledge occupy an important place. Also, the article describes a whole set of contradictions in the educational process of the higher education institution and provides a place for their elimination. Due to the elimination of these conflicts, adaptation of students to the educational process can happen easily. The research also characterizes the main distinguishing features of the management of the educational process and the issues that contribute to the establishment of productive pedagogical communication between the participants of the educational process. A humanistic style of pedagogical communication is impossible without personal qualities such as humanism and intelligence, high moral culture and responsibility. In the article, the results of the survey conducted with the students of Nakhchivan State University were analyzed and presented.

MIGRATION RISK OF DEVELOPING PSYCHOSOMATIC DISORDERS IN SOCIALLY PROSPEROUS YOUNG PEOPLE WITH INCREASED NEUROPSYCHIC AND INTELLECTUAL LOAD

RELEVANCE: The relevance of the study is due to the lack of systematic data on the cause-and-effect relationships between the territorial remoteness of the initial and final settlements when changing place of residence with the risk of developing psychosomatic disorders in a person with increased neuropsychic and intellectual stress. AIM: To develop an integrative indicator of the risk of developing psychosomatic disorders in young people when changing their place of residence. MATERIAL AND METHODS: The study involved students of the Volgograd State Medical University, 97 men and 99 women aged 18-22 years. Nonresident respondents accounted for 44% (45 people) of the sample population of men and 60% (61 people) of the sample population of women. The cross-sectional study was carried out in June 2023, during the spring session, 9 months after the start of university studies, and, accordingly, from the moment nonresident students changed their place of residence. The level of systemic maladjustment of respondents was assessed using the I.N. Gurvich test. The indicators of the Giessen Somatic Complaints Questionnaire and indicators of anxiety-depressive disorders (HADS scale) were taken into account, and the presence of suicidal ideation was determined - according to the suicidal ideation module of the Columbia Suicidal Severity Scale (C-SSRS). The distances (km) between the initial and final settlements of the respondents’ place of residence were calculated. RESULTS: A systemic direct statistically significant relationship was identified between the severity of psychosomatic disorders and the distance of migration movement of young people from the place of previous residence to the final point of residence. Four degrees of migration risk have been identified with zero (up to 20 km) and subsequent three (up to 400, up to 800 and over 800 km) territorial ranges of somatization risk. The control critical values of the migration risk indicator for the development of psychosomatic disorders for men and women were calculated, determining that the migration risk of somatization in young people occurs when the territorial distance of the place of residence from the place of previous residence is 400 km or more. CONCLUSION: The connections between the territorial remoteness of the initial and final settlements when changing place of residence, with the risk of developing psychosomatic disorders in a person under conditions of an intense educational process, are characterized.

Performance Analysis of Disc Mill Type FFC-15 Grinder for Making Charcoal Husk Flour

This study is motivated by the great potential of rice husk as a waste material that has not yet been optimally utilized. The focus of this research is to evaluate the performance of the FFC-15 disc mill machine in producing flour from rice husk charcoal at three different moisture contents. The variations in the moisture content of rice husk charcoal studied were 10%, 15%, and 20%, with the goal of determining the optimal conditions in the production process of rice husk charcoal flour. The methodology used is experimental with repeated testing to produce data on machine capacity, electrical power consumption, flour yield, flour quality (moisture content, ash content, and mineral content), and the physical parameters of the charcoal. The results show that moisture content significantly affects the milling efficiency and quality of the flour produced, with optimal conditions achieved at a moisture content of 10%. Adjusting the moisture content before the milling process can enhance the operational efficiency of the machine and the quality of the final product. These findings are expected to provide benefits for follow-up by a group or industry that wants to optimize the utilization of rice husk charcoal. Keywords: Disc mill FFC-15, Flour quality, Husk charcoal, Milling efficiency, Moisture content.

Improved Monte Carlo tree search formulation with multiple root nodes for discrete sizing optimization of truss structures

This article proposes a novel reinforcement learning algorithm using an improved Monte Carlo tree search (IMCTS) formulation for the discrete optimum design of truss structures. IMCTS with multiple root nodes includes the update process, best reward, accelerating technique and terminal condition. The update process means that once a final solution is found, it is used as the initial solution for the next search tree. The best reward is used in the backpropagation step. The accelerating technique is introduced by decreasing the width of the search tree and reducing the maximum number of iterations. The agent is trained to minimize the total structural weight under various constraints until the terminal condition is satisfied. The optimal solution is the minimum value of all solutions found by the search trees. Numerical examples show that the agent can find the optimal solution with low computational cost, stably produces an optimal design, and is suitable for multi-objective structural optimization and large-scale structures.

Quality Parameter Adaptive Optimization for Spinning Process Using Dynamic Non-Dominated Sorting Algorithm

ABSTRACT Intelligent textile equipment can discover potential patterns in the production process through data mining, and utilize these patterns through intelligent optimization, ultimately achieving intelligent and automated textile production. This paper focuses on the spinning process parameters optimization under changing spinning conditions and proposes a dynamic non-dominant ranking parameter quality adaptive optimization algorithm. The factors of spinning process condition changes are transformed into mathematical dynamic constraints and constructing an adaptive optimization model for spinning parameter quality. Based on this, the response mechanism of spinning environment is established to readjust the optimization direction according to the change of spinning conditions, and the DNSGA-II is used to solve the quality adaptive optimization model. A case study is designed to validate the effectiveness, results show that for different usage periods of wire rings, the optimal breaking strength is 5.6, and the number of details is 33.3, 31.1, and 41.6 respectively. In some degree, the proposed algorithm can effectively adapt to the quality optimization problem of spinning process parameters under different spinning conditions, which could provide corresponding parameter optimization combinations for different spinning conditions.

Enzymatic interesterification of perilla seed oil and palm stearin: A sustainable approach to develop a novel zero-trans-fat margarine rich in omega-3 fatty acids.

The study focuses on developing a novel perilla seed oil (PeO)-based polyunsaturated fatty acid-rich margarine fat analogue using enzymatic interesterification. PeO is a rich source of omega-3 fatty acids, however, has limited application due to susceptibility to oxidative and thermal degradation. Moreover, low consumption of omega-3 fatty acids in modern diets serves as a major cause for increased prevalence of cardiovascular diseases. The stability of such oils can be improved by techniques like blending and interesterification. However, blending lacks uniformity, which can be overcome by interesterification. The process conditions, namely, enzyme load, temperature, substrate molar ratio, and reaction time, were systematically optimized using response surface methodology. The optimized interesterified fat was characterized for fatty acid and triacylglyceride (TAG) composition. The physicochemical and functional properties, along with oxidative stability, were also evaluated to determine its overall quality. The structured lipid with zero trans and low saturated fat was developed with 50:50 substrate molar ratio of PeO and palm stearin at 54°C within 5.4h at 6.2% w/w concentration of TLIM enzyme. It exhibited 23.8% degree of interesterification, 435.5g hardness, and 33°C slip melting point. The TAG profile of the resulting fat was significantly modified with increased triunsaturated TAGs like LnLnLn and LnLnL but reduced trisaturated TAGs like PPP. The interesterification process lowered tocopherol composition by 3%. The acid, peroxide, IP (Induction Period), and p-anisidine values of PeO significantly enhanced. The thermal behavior of the developed fat was also modified. The textural properties of margarine developed from optimized fat were comparable to commercial margarine, revealing the application of PeO in healthy margarine formulation.

Silicon-based integrated passive device stack for III-V/Si monolithic 3D circuits operating on RF band

In this study, we demonstrated a silicon (Si)-based integrated passive device (IPD) stack to support III-V/Si monolithic 3D (M3D) ICs operating on the radio frequency (RF) band. The IPD stack was fabricated based on an 8-inch CMOS process line and integrated via M3D with an InGaAs HEMT layer. A process condition for a trap rich layer and a buried oxide layer in the IPD was established to simultaneously minimizing both the RF loss and wafer bowing. Through the process condition, the RF loss of the coplanar waveguides was −0.631 dB/mm at 30 GHz, lower than that of the CMOS foundry, and the wafer bowing of the stack was as low as −5.5 μm. The maximum quality factor of the inductors showed good values when compared to those of other CMOS foundry process-based inductors operating on the RF bands reported thus far. To obtain a compressive profile for the IPD stack, which is one of the most important requirements in advancing to wafer-to-wafer-level 3D bonding with the III-V active layer, a process method for the final IMD layer of the IPD was developed, resulting in a change from a tensile profile to a compressive profile for the IPD (corresponding wafer bowing value from −12.6 to + 10.7 μm).

Bioactive compounds delivery and bioavailability in structured edible oils systems.

The health benefits of bioactive compounds are dependent on the amount of intake as well as on the amount of these compounds that become bioavailable and bioaccessible. Various systems have been developed to deliver and increase the bioaccessibility of bioactive compounds. This review explores the impact of gelled (oleogels, bigels, emulgels, emulsions, hydrogels, and hydrogel beads), micro-(gels, particles, spheres, capsules, emulsions, and solid lipid microparticles) and nanoencapsulated systems (nanoparticles, solid lipid nanoparticles, nanostructured lipid carriers, nanoemulsions, liposomes, and nanoliposomes) on the digestibility and bioavailability of lipophilic and hydrophilic bioactives. Structurant molecules, the oil type, antioxidants, emulsifiers, and coatings in delivery systems with promising potential in food applications are critically discussed. The release and bio-accessibility of bioactive compounds in gelled systems are influenced by various factors, such as the type and concentration of gelators, the gelator-to-oil ratio, the type of antioxidant, the network of the system, and its hydrophobicity. The stability, bioaccessibility, and controlled release of bioactives were improved in structured emulsions. Several variables, including wall material, oil/water ratios, encapsulation process, and pH conditions, can affect the bioactives release in microencapsulated systems. Factors like coating type and core-to-wall ratio impact the stability and release of core components. The encapsulating material, the encapsulation technology, and the nature of the nanomaterials all have an impact on the bioaccessibility of nanoencapsulated systems. Nanoliposomes provide enhanced stability and absorption. In general, all encapsulated systems have shown great potential in improving the distribution and availability of bioactive compounds.