Quality Parameters Of Products Research Articles

Supercritical fluid extrusion of dairy and fruit products to generate GOS-enriched and nutritionally superior snack puffs

The consumption of ultra-processed snacks is often considered unhealthy because such foods generally are energy-dense with low nutritive value. They contain high levels of starch, fat, and sugar and low levels of essential nutrients such as fiber, protein, and bioactive compounds. Nutritionally balanced snack foods that cater to today’s on-the-go lifestyles and do not get in the way of better eating are in high demand. The present study aims to create nutritionally attractive extruded puffs by valorizing food manufacturing byproducts and to elucidate the uniqueness of hybrid extrusion processing and its effect on product quality parameters. Supercritical fluid extrusion (SCFX) was used to transform apple pomace, starch or dairy ingredient-based formulations into value-added products in a zero-waste system. Acid whey, a byproduct of yogurt and cheese manufacturing, was used in lieu of water in the extruder to mitigate environmental issues related to its disposal. The SCFX system was also used for in-process polymerization of galactose, sourced from lactose hydrolyzed skim milk powder (LHSMP), with lactose from milk protein concentrate (MPC) and acid whey sources to produce galacto-oligosaccharides (GOS), a prebiotic associated with various health benefits and making the product acceptable to lactose intolerant consumers. Analysis of the extruded puffs showed that a combination of pomace and dairy ingredients significantly improved the nutritional profile of the product, notably increasing the fiber (5.0 g/30 g serving), protein (13.6 g/30 g serving), bioactive compounds (phenolics 21.4 mg GAE/30 g and vitamin C 0.3 mg/30 g serving), minerals, and GOS (0.4 g/30 g serving) contents. A sensory acceptance test (n=91) showed that incorporation of fruit and dairy by-products in snacks either improved or maintained Just About Right (JAR) scores compared to Market Keto puffs. Overall, utilizing fruit pomace and acid whey in extruded products made by SCFX is not only able to generate nutritious and functional snacks with balanced nutrients profile, derived from inexpensive agro-food by-products feedstock, but also can help mitigate environmental and waste issues.

Effects of minimum dissolved oxygen setpoints for aeration in semi-intensive pond production of Pacific white shrimp (Litopenaeus vannamei)

Aeration is considered one of the most critical factors in shrimp farming as it affects the metabolism of shrimp and other living organisms within a pond. Maintenance of proper dissolved oxygen (DO) concentrations is critical, as low DO can cause stress, lower resistance to disease, and inhibit growth. Although the effects of single, short-term hypoxia events have been widely studied, little to no research has examined effects of repeated exposure to hypoxia during multiple diurnal cycles that shrimp may experience in aquaculture ponds. Even though the concept is simple, proper DO management is not simple. It is dependent on numerous factors and often based on anecdotal recommendations. The present trial was conducted to help elucidate the effects of DO management strategies on shrimp performance. The trial examined the effects of three different DO set points for automatic aeration on shrimp production and water quality parameters in earthen ponds. In sixteen earthen ponds (0.1 ha), juvenile Pacific white shrimp (⁓0.030 g) were stocked at a density of 25ind/m2. Minimal DO setpoints that activated automatic aeration in each of the treatments were 2.5, 3.5, and 4.5 mg O2/L, respectively. Shrimp were fed using the AQ1 passive acoustic monitoring system that was set to not feed while DO was below the threshold of a given treatment. Each of the treatments was applied to 5 ponds, except for treatment 1 (2.5 mg/L) which was applied 6 ponds as it was considered of higher risk. Shrimp growth performance and water quality indicators were monitored weekly. At the end of the 79–81-day trial, results showed that different aeration control treatments had no significant effect in terms of growth performance, feed inputs or productivity parameters. The final weight of the shrimp ranged between 33.3 and 33.6 g, with average final yields of 7500–8500 kg per ha. Nonetheless, mean electrical costs differed significantly between treatments, with higher DO setpoints treatments exhibiting a higher aeration cost with no discernible benefit. Water quality parameters showed no significant difference, except for morning and afternoon DO concentrations.

Exploring the essential features influencing the synthesis of methylenedianiline to support industrial processes

The most important intermediate of methylene diphenyl diisocyanate (MDI), the most widely and quantitatively produced isocyanate in the world, is methylenedianiline (MDA). MDA is industrially produced from the reaction of aniline and formaldehyde catalysed by inorganic acids, most commonly HCl. The reaction parameters used during the synthesis of MDA have a fundamental impact on the quality parameters of the resulting MDA product mixture, and thus on the properties of the final MDI product mixture as well. Although MDA is an important industrial intermediate, currently its synthesis at the industrial level is based on empirical rules, knowledge and rule of thumbs, the effects of production parameters and their magnitude on product properties are not known and not published in the literature. In this study, the correlations between the independent operating parameters and dependent product quality parameters characterizing the MDA mixture were explored by developing different regression models with the use of experimental laboratory synthesis data in order to support the industrial synthesis process with easily deployable models with satisfactorily high accuracy. After investigating the laboratory experiment data from a total of 46 individual laboratory experiments, it was found that with machine learning models almost all of the independent parameters can be described with satisfactory accuracy. The models presented in this work demonstrate that it is possible to develop models that can be used to adjust the ring distribution, isomer ratios and selectivity of the reaction with minimising by-product quantities according to market demands or to different objective functions by fine-tuning the production parameters., thus achieving an optimal product portfolio and operating cost for the industrial process as well.

A New Methodological Framework for Optimizing Predictive Maintenance Using Machine Learning Combined with Product Quality Parameters

A New Methodological Framework for Optimizing Predictive Maintenance Using Machine Learning Combined with Product Quality Parameters

Evaluasi Indeks Tarik dan Indeks Sobek pada Bleaching Pulp: Pengaruh Hidrogen Peroksida (H2O2), Klorin Dioksida (ClO2) dan Suhu

Indonesia is one of the leading Pulp and paper producers globally, with an estimated annual growth rate of 3.5%. However, domestic production has not yet fully met the domestic needs and export demand for paper. Currently, hydrogen peroxide (H2O2) and chlorine dioxide (ClO2) are the primary bleaching agents used in Pulp and paper production. This research aims to evaluate the effects of H2O2, ClO2, and temperature on product quality parameters, specifically the tensile and tear indices. The variations of ClO2 used are 2%, 0.4%, and 0.7%; H2O2 concentrations are 0.1%, 0.2%, and 0.4%; and the temperatures used are 75°C and 85°C. The study found that the addition of ClO2 at a concentration of 0.7% resulted in the highest tensile index of 76.9 N.m/g and a tear index of 3.5 m.N.m²/g. The addition of H2O2 at a concentration of 0.1% resulted in a tensile index of 83.9 N.m/g and a tear index of 9.4 m.N.m²/g. Temperature variations did not significantly affect the tensile and tear indices, with the tensile index reaching 9.35 m.N.m²/g. The addition of H2O2 is essential as it enhances the bleaching process and improves the mechanical properties of the Pulp, which is beneficial for optimizing bleaching conditions to enhance product quality, thus meeting both domestic needs and export demands.

Analysis and evaluation of quality parameters of commercial propolis products using a new high Performance Liquid Chromatography (HPLC) method and Comparison of antimicrobial properties

Propolis, which has an important place in functional foods, is a natural bee product with high biological active value and is consumed in different formulations and packages worldwide. Thanks to the active compounds it contains, propolis shows biological properties such as antibacterial, antifungal, antiviral, antiprotozoal, antitumoral, antiulcer and anti-inflammatory. However, it is seen that propolis supplements are prepared unconsciously in the market.Such commercial products need to be standardized. Within the scope of this study, characteristic compounds of Turkish propolis were initially determined with support from the literature. Subsequently, bioactive components of 23 commercial propolis products were analyzed using the new HPLC method. Then, the flavonoid content and antimicrobial activity of the samples were determined.According to the results of these analyses, the amounts of Caffeic Acid (2,16–1620,57 ppm, Quercetin (0,19–203,99 ppm), Apigenin (0,30–319,08 ppm), Kaempferol (0,56–251,15 ppm), Chrysin (3,97–2830,93 ppm), and Caffeic Acid Phenethyl Ester (13,08–9666,48 ppm) were found to be quite different. The highest flavonoid content was measured as P2: 20847,43 mg/L and the lowest was 00003,10 mg/L in sample P13. Samples prepared for children were found to be highly diluted in terms of content. Again, it was determined that the samples with high preservation of active ingredients were products with production certificates based on laboratory analyzes. The samples were generally found to have inhibition activity against Gram (+) bacteria. Propolis samples P6 and P22 showed high activity against Gram (+) and Gram (−) bacteria and even fungi. When we evaluated some products that are insufficient in terms of content and antimicrobial activity, it was observed that antimicrobial activity increased depending on the other auxiliary chemicals used in the products. In this context, propolis products, which are very valuable in terms of health, may lose their real activity due to uncontrolled production and will gradually be devalued in the market. It is important that this valuable product should be produced and offered to the market with the necessary analysis methods without losing its effectiveness.

A novel seaweed-based biodegradable and active food film to reduce freezer burn in frozen salmon

The imperative to replace conventional plastic food packaging has led to the development of edible and biodegradable alternatives. This study has formulated an effective packaging solution for the preservation of frozen salmon. Alginate films were prepared by integrating ethanolic extracts from two edible seaweeds, Sargassum muticum and Grateloupia turuturu. The optical and mechanical properties of the films, as well as their effectiveness in preserving frozen salmon over a 6-month period at −18 °C, were assessed and compared to other alginate and synthetic plastic films. The quality parameters of the final product were also assessed. Films incorporating Grateloupia extract exhibited a 34% reduction in thickness and 51% lower moisture content when compared to alginate. Meanwhile, those containing Sargassum extract demonstrated improved water resistance, with a 11% decrease in solubility. The seaweed-incorporated films demonstrated gradual biodegradation over time. Samples packaged with these films displayed a substantial decrease in colour changes, ranging from 58% to 64%, compared to commercial plastic film packaging. This enhanced protection against freezer burn is likely due to the presence of lipid-derivate compounds in the Grateloupia extract. The findings of this study suggest the potential use of alginate-based films incorporated with Grateloupia and Sargassum extracts as edible and biodegradable packaging for frozen fish, offering a sustainable and improved alternative to synthetic plastic films.

Development of a novel salt processing technology and its performance and economic evaluation: an experimental study

ABSTRACT This study aimed to develop a novel, sustainable, highly efficient, and affordable salt processing technology tailored to local salt producers. Novel technology converts raw solar sea salt into the finest dried salt, which is widely accepted by various industries. Experiments were conducted at a drying temperature of 80°C, with an air velocity of 30 m/s, and a feed rate of 125 kg per hour to evaluate the proposed novel salt processing technology. Performance evaluation was based on product quality parameters (e.g. wet moisture content, sodium chloride (NaCl) percentage, and whiteness) and specific energy consumption. The economic assessment relied on financial analysis and payback period parameters. The results indicated a reduction in salt sample moisture content from 10.37% ± 0.4% to 0.47% ± 0.02%, with NaCl percentage and whiteness of the salt produced at 98.5% ± 0.3% and 81 ± 0.7, respectively. The specific energy consumption for the novel salt processing technology was 0.119 ± 0.07 kWh/kg of the final salt product. Initial investment requirements totalled IDR 275,435,000, with a payback period of 1.66 years. This proposed novel salt processing technology has the potential to generate high-quality dried salt with a production efficiency of 89.5%. Consequently, it could enhance local producer’s businesses, seize opportunities in the national salt market, support rural industrialisation, and be best configured for Indonesia’s local salt producers.

Improvement of coconut water shelf‐life through low‐temperature concentration process: Understanding impact of non‐thermal process on shelf‐life

AbstractFruit juice concentration gains popularity due to the reduced shipping costs for concentrated products. However, the main drawback of the widely used thermal concentration process is the degradation of product's quality parameters. Lyophilization, or the freeze‐drying process, is applied to concentrate coconut water to demonstrate that the quality of the coconut water can improve even when a significant fraction of pure water is removed from it. The measurements of antioxidant activities, total phenolic content (TPC), pH, and titratable acidity are investigated to understand process efficiency without compromising the original quality of coconut water. Study applies first order kinetics to assess the coconut water's shelf‐life, using pH and Brix as critical parameters. Results suggest that Brix, TPC, antioxidant activity (AAO), total dissolved solids (TDS), and potassium increase with increase in lyophilization time, where pH remains the same. The shelf‐life of concentrated product increases to double that of raw coconut water.Practical applicationsCoconut water has very large worldwide demand as health drink across all ages and all societies, particularly has great demand in sport/health sectors. The raw coconut is inconvenient to transport long distances because of its bulky volume. Further, coconut grows in a very limited area, it needs to travel long distance to reach customers across globe. So business with packed concentrated coconut water would be profitable for food industries. There is no study that has proven that concentrated coconut water through non‐thermal processes can actually improve its shelf‐life drastically. This study suggests that Brix, TPC, AAO, total dissolved solids, and potassium ions were concentrated with the increase in lyophilization time, where pH remains same due to an undisturbed natural buffering system. Non‐thermal freeze‐drying techniques proved that non‐thermal treatment like polymeric/ceramic membrane treatment would be beneficial for industry to sell packed coconut water without adding preservatives.

Effects of Liquid Whey Supplementation with Water on Egg Production and Egg Quality in Layer Chickens

Background: Liquid whey is a milk by-product and contains good quality protein and minerals. Due to lack of proper knowledge and sufficient technology it remains unutilized and thrown away as a waste. So, keeping in view of its profitable utilization, a study was planned to include liquid whey as feed supplement to layer poultry. Methods: A study was conducted by supplementation of liquid whey to layer chickens to study the effect on egg production and egg quality. A total of 120 layer birds (indicate the age) were supplemented with liquid whey ad libitum in the drinking water @ 0, 5, 10 and 15% up to 90 days. The data were collected with respect to egg production and egg quality parameters. Result: Supplementation of liquid whey in drinking water improved egg production and egg quality in laying chickens. It may be concluded that liquid whey can be supplemented with drinking water at the rate of 5% (v/v) for better egg production in layers and for production of premium quality of bigger size and weight of eggs, supplementation of whey up to 15% (v/v) can be recommended.

Analisis Penjualan Produk Aspal Kilang Minyak Pertamina RU IV Cilacap Dengan Metode Statistik

The development of road infrastructure such as highways, toll roads, airports, ports, bridges and other infrastructure requires an average of 1.2 million tons of asphalt per year. Under these conditions, the need for domestic asphalt is very large. Asphalt products are one of the petroleum derivative products that have high economic value and are the main raw material in infrastructure development. This research focuses on Pertamina RU IV Cilacap Oil Refinery Asphalt products with 60/70 penetration specifications that have been adapted to the needs and conditions of Indonesia with a tropical climate and are one of the superior products at PT Patra Trading. The purpose of this study is to analyze the simultaneous and partial significant effects using quantitative methods, namely statistical models on SPSS software version 25.0. The parameters used as research variables in the questionnaire to support this research are product excellence, product application, and product quality. Product excellence is a factor that makes a product have value and advantages in the eyes of customers, product application is the process of using products to meet customer needs, and product quality is the ability of a product to meet specifications to increase customer satisfaction. The results showed that the variables of product excellence X1 and product application X2 had a simultaneous effect on the product quality parameter Y based on the F (Simultaneous) test which serves to measure the goodness of fit of the regression equation or determine whether all the independent variables contained in the equation jointly affect the dependent variable by producing a significance value of 0.00 <0.05. Based on the T test (Partial) which serves to test how far the influence of one independent variable individually in explaining the variation in the dependent variable by producing a T-count value of 8.157> T-table 2.02 with a significant level of 0.000 < 0.05 or a significant value smaller than 0, 05 which indicates that there is a significant and partial influence on the Product Excellence variable X1 on Product Quality Y and T-count 6,528> T-table 2.02 with a significant level of 0.000 <0.05 or a significant value smaller than 0.05 there is a significant and partial influence on the Product Application variable X2 on Product Quality Y. Based on the coefficient of determination test which serves to measure how much variation in the independent variable can explain the dependent variable which shows the independent variable Product Excellence X1 and Product Application X2 affect the dependent variable Product Quality by 91.9%.

Stochastic Game Network-inspired intelligent framework for quality assessment in logistic industry

The widespread utilization of IoT-Fog-Cloud computing has revolutionized customer-oriented service delivery aspects in the global logistics industry. With industrial globalization, the logistics industry is often challenged to address quality issues. Moreover, with improper product management and transportation, the logistics industry has to face considerable financial loss. Conspicuously, a novel Stochastic Game Network (SGN) is proposed in the current study to ensure enhanced service product quality in the logistics industry. Specifically, the smart logistic industry-based decision-making framework is presented by incorporating several parameters of product quality. In the proposed method, each IoT device acts as a game player with a preset action set and strategy. Moreover, each IoT sensor at 4 levels of the logistic industry including Production Management Sensor (IMS), Inventory Management Sensor (IMS), Transportation Management Sensor (TMS), and Delivery Management Sensor (DMS) is incorporated as a game player node. Quality parameters are analyzed using the proposed Bayesian Belief Model (BBM) technique for effective classification. Moreover, Game-theoretic decision-making is used to automate enhanced product quality management and control units in IoT-based logistic industries for effective analysis and customer-oriented service delivery. For validation purposes, experimental results are compared with state-of-the-art decision-making techniques. Based on the results, the proposed model has registered enhanced statistical measures in terms of Precision (92.98%), Specificity (93.78%), Sensitivity (96.78%), Reliability (96.54%), and Stability (78%). To assess the theoretical efficacy of the proposed strategy, mathematical analysis is performed to quantify customer satisfaction. Conclusively, the proposed model presents an effective mechanism for quality assurance by incorporating stochastic behavior in the logistics industry.

Detection of Adulterant Residues in UHT Milk Products using ATR-FTIR Spectroscopy

Milk adulteration has been done to gain economic benefit by which the quality of milk is purposely compromised either by combining or substituting important ingredients of milk with adulterants. The objectives of this study were to determine the milk quality parameters of adulterated and unadulterated milk products through quality analysis and to investigate the ATR-FTIR spectroscopy technique in detection of adulterant residues in milk products. UHT milk samples were used with three common adulterants (melamine, formalin, anionic detergent) in five different concentrations (0.2%, 0.8%, 1.2%, 1.5% and 2.0%). Quality analysis was done on unadulterated milk and adulterated milk samples. Results showed that there were no significant differences between them. Thus, ATR-FTIR spectroscopic analysis was used for the qualification of adulterants in the wavenumber range of 4000 to 500. These results show the potential of FTIR spectroscopy as a rapid and sensitive technique for the detection of adulterant residues in UHT milk products.

Hard Candy Production and Quality Parameters: A review.

Hard candies are sugar confections comprising mainly water and sucrose. Corn syrup, colorants and flavors are also usually added to hard candy formulations. The production of hard candy requires heating of the ingredients to very high temperatures to reduce moisture content and subsequent cooling to obtain a solid matrix. Cooling of the mixtures achieves the final, well known glassy state of the products. In this glassy state, the system is kinetically stable and molecular mobility is restricted, providing longer shelf life to hard candies. There are, however, several factors affecting the final quality and consumer acceptance of hard candies. Production methods and parameters, initial formulations as well as storage conditions all play a crucial role in the physicochemical, textural and sensory properties of hard candies. Addition of colorants and flavors also plays a vital role in the final quality. Although hard candy production is a simple process with few production stages, even small changes in the method of production and process parameters may induce substantial changes in the final product characteristics. Additionally, storage conditions such as temperature and humidity can change the product properties leading to graining and stickiness which are the two major problems for hard candies during storage. Both production and storage conditions should therefore be carefully chosen and controlled for desirable hard candy properties. This review addresses the general production methods and considers process parameters and quality parameters of hard candy products. Moreover, a comprehensive review of the related hard candy literature is also presented. The majority of hard candy reviews focus on specific methods and processes, but this review will present a more general frame on the subject.

Physicochemical and Sensory Characterization of Whey Protein-Enriched Semihard Cheese.

In view of potential future changes of German food legislation with regard to cheese product quality parameters, this study aimed to evaluate the quality of whey protein-enriched semihard cheese (WPEC). Model WPEC was produced in a pilot plant and on an industrial scale by adding defined amounts of high-heat (HH) milk to the cheese milk and comprehensively analyzed during cheese processing. The dry matter, total protein, pure protein, fat, and sodium chloride content of six-week ripened cheese samples were not significantly different (p < 0.05) when the technologically necessary heating of the curd was adapted to the amount of HH milk. However, the ripening, firmness, and melting behavior of WPEC was different compared to cheese without HH milk. During ripening, no formation of whey protein peptides was observed, but differences in the amount of some bitter peptides deriving from the casein fraction were found. Sensory data suggested a slightly more bitter taste perception by the panelists for the WPEC. Further technological adjustments are recommended to obtain marketable WPEC.

Radio frequency heating induced 3D printed white croaker (Argyrosomus argentatus) surimi gelation: Effectiveness and gel quality evaluation

Two-stage water bath (WB) heating is commonly used in surimi gelation as an effective thermal treatment method but produces wasted water. Radio frequency (RF) has the potential substituting the WB heating with its fast, volumetric and adjustable heating characteristics for saving treatment time and water usage. This study examined the effectiveness of RF to substitute one of or both stages of WB heating on surimi prepared with conventional and 3D printed methods. Four treatments including two-stage WB heating, RF heating, and different combinations (RF-WB and WB-RF) with the same target temperature of 85 °C were conducted and the essential quality parameters of surimi products were analyzed. Results showed that RF heating had the highest heating rate of ∼8.6 °C/min with a linear heating curve, among which the 3D printed surimi samples had a slower heating rate than conventionally prepared ones. RF heating resulted in higher water holding capacity (67.24%) comparing to traditional WB method (59.60%). The gel strength of the conventionally prepared surimi samples was not significantly different among four treatments. However, the 3D printed surimi samples treated with WB had lower gel strength than those RF-induced ones. Also, the 3D printed surimi gel had a more compact and uniform gel network structure compared to traditionally prepared ones among all treatments. The proposed non-contact RF treatment method protects the delicate shape of samples from deforming. The results of this study assist the development of more efficient and emission-free surimi processing techniques.

An end-to-end machine learning approach with explanation for time series with varying lengths

AbstractAn accurate prediction of complex product quality parameters from process time series by an end-to-end learning approach remains a significant challenge in machine learning. A special difficulty is the application of industrial batch process data because many batch processes generate variable length time series. In the industrial application of such methods, explainability is often desired. In this study, a 1D convolutional neural network (CNN) algorithm with a masking layer is proposed to solve the problem for time series of variable length. In addition, a novel combination of 1D CNN and class activation mapping (CAM) technique is part of this study to better understand the model results and highlight some regions of interest in the time series. As a comparative state-of-the-art unsupervised machine learning method, the One-Nearest Neighbours (1NN) algorithm combined with dynamic time warping (DTW) was used. Both methods are investigated as end-to-end learning methods with balanced and unbalanced class distributions and with scaled and unscaled input data, respectively. The FastDTW and DTAIDistance algorithms were investigated for the DTW calculation. The data set is made up of sensor signals that was collected during the production of plastic parts. The objective was to predict a quality parameter of plastic parts during production. For this research, the quality parameter will be a difficult or only destructively measurable parameter and both methods will be investigated for their applicability to this prediction task. The application of the proposed approach to an industrial facility for producing plastic products shows a prediction accuracy of 83.7%. It can improve the reverence method by approximately 1.4%. In addition to the slight increase in accuracy, the CNN training time was significantly reduced compared to the DTW calculation.

Analysis of experience in optimizing the operation of an automated production line for folding cardboard boxes

The object of research is an automated system for controlling the bending mechanisms of the folding-gluing line for cardboard packaging products. In the work, the ways of optimization and the development of an automated control system for the bending mechanisms of the folding and gluing line, which makes it possible to fold various structures and standard sizes of cardboard boxes using modern automation tools based on programmable logic controllers, were carried out in the work. A mathematical model has been proposed to describe operations on the folding-gluing line. Based on the model, a methodology has been developed for calculating the parameters of the automated control system for the box folding production line, depending on the technical parameters of the line and the parameters of the boxes to be bent. This will make it possible to choose optimal technological modes of the production process and obtain high quality parameters of cardboard packaging products. To verify the mathematical model of the production line, software has been developed in the Delphi development environment, which was applied with the developed automated production process control system based on a programmable logic controller (PLC) and an operator panel. This produced a number of results, in particular, controlling the speed of the hook bend in proportion to the speed of the line. And also provided an opportunity to increase line speed and, accordingly, production productivity. It has been possible to change the mutual location of system elements, which made it possible to reduce the distance between workpieces and increase the capacity of the line tape by 30 %. The obtained research results were implemented at the production enterprise of typographic products «Dinas» (Zaporizhzhia, Ukraine), which contributed to the improvement and optimization of production processes. Conducting further research will provide an opportunity to expand the proposed methodology for use on all types of folding and gluing lines.

Electrospun nanofiber drug delivery systems and recent applications: An overview

Fiber technology plays a significant role in advancing drug research. While developing drug delivery systems, nanofiber technology has gained importance due to its high surface area to volume ratio and porosity. The most preferred nanofiber production method is the electrospinning method. This review focuses on electrospun nanofiber drug delivery systems, including analysis of critical process parameters affecting electrospinning and nanofiber properties. Moreover, the design strategies for nanofiber drug delivery systems are explored, including equipment preferences and design types. Given to these design strategies, it is possible to design either nanofiber mat or nanofiber itself. It has been shown that a tailor-made drug delivery system can be prepared using axial-based nozzles and other equipment options. In addition, the prominent features and usage areas of frequently used polymers are mentioned. General characterization studies of post-production nanofibers are discussed. Examples of areas of use for pharmaceutical purposes are presented. Finally, drug release kinetics were evaluated on electrospun nanofiber drug delivery systems. As a result of exhaustive evaluations, various effective applications in the literature have been shown to achieve remarkable results such as drug release manipulation, drug targeting, self-assembling formulation strategies. Therefore, it is clear that in the field of electrospun nanofiber technology, it is possible to modify all the process options and develop a unique drug delivery product, thanks to a comprehensive evaluation of the critical quality parameters of the drug product.

Інструменти цифрової економіки в контексті підвищення ефективності діяльності промислових підприємств

Digital transformation is becoming an integral part of the development of industrial enterprises in the modern world. The phase of transition to the digital economy is expected not only to increase the productivity and efficiency of production processes, but also to open up new opportunities for development and a competitive position in the market. The inclusion of digital instruments in the activities of industrial enterprises can greatly facilitate management, improve product quality and ensure more efficient use of resources. The aim of the article is to study and analyze the instruments of the digital economy in the context of improving the efficiency of industrial enterprises. The article analyzes the definition of «digital economy» and provides the authors’ own definition of this term. The prospects for the introduction of the digital economy in the activities of industrial enterprises are determined, among which an increase in labor productivity, an increase in product quality parameters, a decrease in costs, an increase in the level of adaptation and the level of competitiveness are allocated. The main program document for the development of Industry 4.0 in Ukraine named «Strategy 4.0» is analyzed. The main instruments of the digital economy have been identified, which should include the Internet of Things, artificial intelligence, machine learning, data analytics, cloud technologies, digital platforms, and ecosystems. It is proved that the introduction of digital economy instruments in the activities of industrial enterprises creates prerequisites for optimizing production processes. The article also states that the process of introducing digital instruments into the activities of industrial enterprises creates prerequisites for certain challenges and threats, including the threat of cyberattacks, data security breaches, large investments in the transfer of knowledge and technology and, as a result, the need to upgrade production equipment to more modern, complex integration of new technologies into existing production processes. Therefore, the development of the digital economy at industrial enterprises can help increase their competitiveness and stability in the market. Ensuring that digital instruments are correctly selected, implemented, and optimized is an important task for enterprise management and staff in the era of digital transformation.