2023 - Publications Repository - Gdańsk University of Technology

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Publications from the year 2023

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Giant Reed (Arundo donax L.) Fiber Extraction and Characterization for Its Use in Polymer Composites
- Luis Suárez
- Mateusz Barczewski
- Paulina Kosmela
- María D. Marrero
2023 Full text Journal of Natural Fibers
This work describes an extraction method for giant reed fibers from stems and leaves based on chemical soaking and crushing through a rolling mill. Obtained fibers, together with the shredded plant (stems + leaves), are characterized in terms of chemical composition, thermal stability, morphology, and crystallinity. Mechanical properties of fibers have also been assessed (single fiber tensile tests). The results show that the proposed method allows obtaining fibers with higher cellulose content (near 70%), good thermal stability (10% weight loss over 270°C), higher density, and better mechanical properties than other Arundo fibers previously reported in the literature. Fibers from leaves are thinner and show higher crystallinity than those from stems (72 μm vs. 157 μm, 73% vs. 67% crystallinity, respectively), although mechanical properties are similar for both (around 900 MPa for tensile strength and over 45 GPa for elastic modulus). Analysis of the microstructure shows that fibers consist of microfiber bundles, and the removal of a thin layer of non-cellulosic nature is clear; fibers provide a rougher, cleaner surface than shredded raw material.
GIS-based hydrodynamic modeling for urban flood mitigation in fast-growing regions: a case study of Erbil, Kurdistan Region of Iraq
- Andam Mustafa
- Michał Szydłowski
- Mozafar Veysipanah
- Hasan Mohammed Hameed
2023 Full text Scientific Reports
Floods threaten urban infrastructure, especially in residential neighborhoods and fast-growing regions. Flood hydrodynamic modeling helps identify flood-prone locations and improve mitigation plans' resilience. Urban floods pose special issues due to changing land cover and a lack of raw data. Using a GIS-based modeling interface, input files for the hydrodynamic model were developed. The physical basin's properties were identified using soil map data, Land Use Land Cover (LULC) maps, and a Digital Elevation Model (DEM). So, the HEC-RAS 2-D hydrodynamic model was developed to estimate flood susceptibility and vulnerability in Erbil, Iraq. The case study examines the quality of flood modeling results using different DEM precisions. Faced with the difficulty, this study examines two building representation techniques: Building Block (BB) and Building Resistance (BR). The work presented here reveals that it is possible to apply the BR technique within the HEC-RAS 2-D to create urban flood models for regions that have a lack of data or poor data quality. Indeed, the findings confirmed that the inundated areas or areas where water accumulated in past rainfall events in Erbil are the same as those identified in the numerical simulations. The study's results indicate that the Erbil city is susceptible to flood hazards, especially in areas with low-lying topography and substantial precipitation. The study's conclusions can be utilized to plan and develop flood control structures, since it identified flood-prone areas of the city.
Global Complex Roots and Poles Finding Algorithm in C × R Domain
- Sebastian Dziedziewicz
- Małgorzata Warecka
- Rafał Lech
- Piotr Kowalczyk
2023 Full text IEEE Access
An algorithm to find the roots and poles of a complex function depending on two arguments (one complex and one real) is proposed. Such problems are common in many fields of science for instance in electromagnetism, acoustics, stability analyses, spectroscopy, optics, and elementary particle physics. The proposed technique belongs to the class of global algorithms, gives a full picture of solutions in a fixed region ⊂ C × R and can be very useful for preliminary analysis of the problem. The roots and poles are represented as curves in this domain. It is an efficient alternative not only to the complex plane zero search algorithms (which require multiple calls for different values of an additional real parameter) but also to tracking algorithms. The developed technique is based on the generalized Cauchy Argument Principle and Delaunay triangulation in three-dimensional space. The usefulness and effectiveness of the method are demonstrated on several examples concerning the analysis of guides (Anti-Resonant Reflecting Acoustic Waveguide, coaxially loaded cylindrical waveguide, graphene transmission line) and a resonant structure (Fabry-Pérot open resonator).
Global energy transition: From the main determinants to economic challenges regions
- Adam P. Balcerzak
- Gazi Salah Uddin
- Bartosz Igliński
- Michał Pietrzak
2023 Full text EQUILIBRIUM Quarterly Journal of Economics and Economic Policy
Dynamic global energy transition has been accelerating for the last decade. Interestingly, the energy transition is multidimensional and concerns both the dimensions of technique/ technology and the economic, social, institu-tional, and legal spheres (Shuguang et al., 2022; Tzeremes et al., 2022; Ram-zan et al., 2022; Tzeremes et al., 2022). The literature also points to the signif-icant impact of the digitization of the global economy on accelerating ener-gy transition processes (Shahbaz et al., 2022; Yi et al., 2022). It can be expected that due to the currently observed "Artificial Intelligence Revolu-tion," this factor may gain even higher importance. From the normative perspective, it is commonly assumed that the ener-gy transition should proceed according to the idea of the energy trilemma, which emphasizes three key aspects: ensuring energy security, fair access to energy, and environmental sustainability (Liu et al., 2022). However, reaching this objective is one of the biggest challenges for highly developed societies; specifically, supporting this process is the greatest challenge for current science.
Global value chains and wages under different wage setting mechanisms
- Joanna Wolszczak-Derlacz
- Dagmara Nikulin
- Sabina Szymczak
2023 Full text Competition & Change. The Journal of Global Business and Political Economy
This study examines whether, and how, differences in wage bargaining schemes shape the relationship between global value chains (GVCs) and the wages of workers while considering both GVC participation and position in GVC. Our dataset is derived from the European Structure of Earnings Survey (SES), containing employee–employer data from 18 European countries, merged with sectoral data from the World Input-Output Database (WIOD). The results of an augmented Mincer-type regression show that under national and industry wage bargaining schemes, greater participation in GVCs is associated with lower wages, whereas no adverse impact from GVCs is observed for workers under enterprise bargaining schemes. Finally, numerous extensions and instrumental variable estimations confirm that the type of collective pay agreement may alter the response of wages to both GVC participation and position.
Globalized Knowledge-Based Simulation-Driven Antenna Miniaturization Using Domain-Confined Surrogates and Dimensionality Reduction
- Sławomir Kozieł
- Anna Pietrenko-Dąbrowska
- Łukasz Gołuński
2023 Full text Applied Sciences-Basel
Design of contemporary antenna systems encounters multifold challenges, one of which is a limited size. Compact antennas are indispensable for the new fields of application such as inter-net of things or 5G/6G mobile communication. Still, miniaturization generally undermines elec-trical and field performance. When attempted through numerical optimization, it turns into a constrained problem with costly constraints requiring electromagnetic (EM) simulations. At the same time, due to parameter redundancy of compact antennas, size reduction poses a multimod-al task. In particular, the achievable miniaturization rate heavily depends on the starting point, while identifying a suitable starting point is a challenge on its own. These issues indicate that miniaturization should be addressed through global optimization methods. Unfortunately, the most popular nature-inspired algorithms cannot be applied for solving size reduction tasks be-cause of their inferior computational efficacy and difficulties in handling constraints. This work proposes a novel methodology for globalized size reduction of antenna structures. Our method-ology is a multi-stage knowledge-based procedure, initialized by detection of the approximate location of the feasible region boundary, followed by a construction of a dimensionali-ty-reduced metamodel, and global optimization thereof; the last stage is miniaturiza-tion-oriented local refinement of geometry parameters. For cost reduction, the first stages of the procedure are realized with the use of low-fidelity EM antenna model. Our approach is verified using four broadband microstrip antennas, and benchmarked against multi-start local search, as well as nature-inspired methods. Superior size reduction rates are demonstrated for all consid-ered cases, while maintaining reasonably low computational costs.
Gospodarka w dobie pandemii Covid-19. Wybrane zagadnienia
- Elżbieta Kacperska
- Krystyna Gomółka
- Piotr Kasprzak
- Łukasiewicz Katarzyna
- Jarosław Wróblewski
2023
Monografia ukazuje problemy gospodarek Polski , Kazachstanu i Ukrainy w okresie pandemii Covid-19 oraz programy naprawcze które podjęły rządy tych państw by zmniejszyć skutki wywołane lockdownem i spowolnieniem gospodarczym.
Grafo-mania, czyli rzecz o grafach i algorytmach. Gry chromatyczne na grafach.
- Marek Kubale
2023 Pismo PG
W minieseju analizujemy grę 2-osobową, polegającą na tym, że Alicja i Bogdan współdziałają by pomalować mapę narysowaną na płaszczyźnie.
Graph Neural Networks and Structural Information on Ionic Liquids: A Cheminformatics Study on Molecular Physicochemical Property Prediction
- Karol Baran
- Adam Kloskowski
2023 Full text JOURNAL OF PHYSICAL CHEMISTRY B
Ionic liquids (ILs) provide a promising solution in many industrial applications, such as solvents, absorbents, electrolytes, catalysts, lubricants, and many others. However, due to the enormous variety of their structures, uncovering or designing those with optimal attributes requires expensive and exhaustive simulations and experiments. For these reasons, searching for an efficient theoretical tool for finding the relationship between the IL structure and properties has been the subject of many research studies. Recently, special attention has been paid to machine learning tools, especially multilayer perceptron and convolutional neural networks, among many other algorithms in the field of artificial neural networks. For the latter, graph neural networks (GNNs) seem to be a powerful cheminformatic tool yet not well enough studied for dual molecular systems such as ILs. In this work, the usage of GNNs in structure–property studies is critically evaluated for predicting the density, viscosity, and surface tension of ILs. The problem of data availability and integrity is discussed to show how well GNNs deal with mislabeled chemical data. Providing more training data is proven to be more important than ensuring that they are immaculate. Great attention is paid to how GNNs process different ions to give graph transformations and electrostatic information. Clues on how GNNs should be applied to predict the properties of ILs are provided. Differences, especially regarding handling mislabeled data, favoring the use of GNNs over classical quantitative structure–property models are discussed.
Graphene Production and Biomedical Applications: A Review
- Klaudia Malisz
- Beata Świeczko-Żurek
2023 Full text Crystals
Graphene is a two-dimensional nanomaterial composed of carbon atoms with sp2 hybrid orbitals. Both graphene and graphene-based composite have gained broad interest among researchers because of their outstanding physiochemical, mechanical, and biological properties. Graphene production techniques are divided into top-down and bottom-up synthesis methods, of which chemical vapor deposition (CVD) is the most popular. The biomedical applications of graphene and its composite include its use in sensors, implantology, and gene and drug delivery. They can be used for tissue engineering, anticancer therapies, and as antimicrobial agents in implant application. The biocompatibility of graphene-based nanomaterials enables their use in the field of biomedicine. This article reviews the properties of graphene, the methods used to produce it, the challenges associated with its use, and the potential applications of this material in biomedicine, regenerative medicine, and drug delivery systems.
Great Resignation and Quiet Quitting as Post-pandemic Dangers to Knowledge Management
- Krzysztof Zięba
2023 Full text
Purpose: COVID-19 pandemic aftermaths include the emergence of new tendencies, such as the Quiet Quitting, and continuation of trends such as the Great Resignation, both of which have multiple knowledge-related impacts on individual, organizational and even national level. The aim of this paper is to show the mechanisms behind the Quiet Quitting and the Great Resignation from individual and organizational perspectives. Understanding them is the first step to developing remedies and building business resilience. Methodology: The paper uses systems thinking approach to analyse the phenomena of the Quiet Quitting. Causal loop diagrams are used to show the mechanisms behind those tendencies, their antecedents and the impact they have on several aspects of business operation and management. Findings: The Quiet Quitting and the Great Resignation are multifaceted phenomena and pose several knowledge-related dangers to organizations, including disturbed knowledge flows, knowledge loss, diminished efficiency, lost informal friendship networks, and knowledge leakage to competition. Causal loop diagram indicates that complicated relations between various elements may produce surprising and unexpected outcomes. It presents also opportunities to use leverage points in order to substantially reduce negative outcomes. Research limitations: The paper is of a conceptual nature. In order to transform causal loop diagrams into full systems thinking models extensive data is required. Hence this paper is intended as a basis for further research. Practical implications: The understanding of mechanisms behind the Great Resignation and the Quiet Quitting is crucial for managers trying to develop strategies that would tackle those problems. The papers shows what leverage points can be used to mitigate risks of their adverse impact on business organizations. Originality/value: The Great Resignation and the Quiet Quitting are often perceived as results of the COVID-19 pandemic, yet data suggest they remain strong also in the post-pandemic business reality. The paper offers a holistic approach to those phenomena using individual and organisational perspectives. It provides important insights into their nature, which can be useful to numerous stakeholders, including knowledge workers, managers and business owners.
Green and Sustainable Membranes: A review
- Navid Rabiee
- Rajni Sharma
- Sahar Foorginezhad
- Maryam Jouyandeh
- Mohsen Asadnia
- Mohammad Rabiee
- Omid Akhavan
- Eder C. Lima
- Krzysztof Formela
- Milad Ashrafizadeh
- Zari Fallah
- Mahnaz Hassanpour
- Abbas Mohammadi
- Mohammad Saeb
2023 Full text ENVIRONMENTAL RESEARCH
Membranes are ubiquitous tools for modern water treatment technology that critically eliminate hazardous materials such as organic, inorganic, heavy metals, and biomedical pollutants. Nowadays, nano-membranes are of particular interest for myriad applications such as water treatment, desalination, ion exchange, ion concentration control, and several kinds of biomedical applications. However, this state-of-the-art technology suffers from some drawbacks, e.g., toxicity and fouling of contaminants, which makes the synthesis of green and sustainable membranes indeed safety-threatening. Typically, sustainability, non-toxicity, performance optimization, and commercialization are concerns centered on manufacturing green synthesized membranes. Thus, critical issues related to toxicity, biosafety, and mechanistic aspects of green-synthesized nano-membranes have to be systematically and comprehensively reviewed and discussed. Herein we evaluate various aspects of green nano-membranes in terms of their synthesis, characterization, recycling, and commercialization aspects. Nanomaterials intended for nano-membrane development are classified in view of their chemistry/synthesis, advantages, and limitations. Indeed, attaining prominent adsorption capacity and selectivity in green-synthesized nano-membranes requires multi-objective optimization of a number of materials and manufacturing parameters. In addition, the efficacy and removal performance of green nano-membranes are analyzed theoretically and experimentally to provide researchers and manufacturers with a comprehensive image of green nano-membrane efficiency under real environmental conditions.
Green Approaches in Rubber Recycling Technologies: Present Status and Future Perspective
- Paulina Wiśniewska
- Józef Haponiuk
- Xavier Colom
- Mohammad Saeb
2023 Full text ACS Sustainable Chemistry & Engineering
As a consequence of massive production and consumption of rubbers, rubber blends, and rubber composites for myriad applications, elastomeric products have enormously accumulated and become an environmental threat. The disposal and burning of rubber wastes have been banned because of environmental and economic reasons. By contrast, a great deal of attention has been directed toward strategies enabling recycling and reuse of rubbers. Basically, conventional recycling methods suffer from several drawbacks such as the formation of dust, fumes, and toxic gases in the air, as well as contamination of underground water resources. Thus, green and sustainable formulations and processing methods nowadays are of priority and importance. Taking advantage of sustainable development horizons, scientific and technological aspects of waste rubber management such as processing techniques, properties of the resulting products, industrial applications, and compatibilization with other materials such as thermoplastics, thermosets, and rubbers are herein reviewed and discussed. A particular emphasis is placed on reactive extrusion as a highly flexible in situ compounding method enabling innovations and taking care of sustainability concerns. Finally, the current status of green rubber recycling and future opening doors ahead of this technology are highlighted.
Green sample preparation 2023
- Francisco Pena-Pereira
- Verónica Pino
- Marek Tobiszewski
- Lorena Vidal
2023 Full text Advances in Sample Preparation
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Green, simple analytical method for total biogenic amines content determination in wine using spectrophotometry
- Kaja Kalinowska
- Marek Tobiszewski
2023 Full text FOOD CHEMISTRY
A simple, green and equitable procedure for total biogenic amines (BAs) content determination was developed. The scientific novelty lies in the use of commercially available S 0378 dye, the reaction of which with BAs results in a colour change of the solution. Sample preparation and analysis were simplified to make the method suitable for routine analyses even in resource-scarce settings. The optimization of the method was carried out using a Box-Behnken response surface design. The developed method has satisfactory figures of merit for putrescine equivalent determination with R2 in the range of 0.9906–0.9933 and recovery between 99.7 and 101.2 %. The method’s greenness was assessed using AGREEprep. Finally, wine samples were analysed to demonstrate the applicability of the developed method.
Greening procedures and analytical parameters. The polychlorinated naphthalenes analysis in complex matrices as proof of concept
- Natalia Jatkowska
- Mariusz Marć
- Miguel De la Guardia
- Daniel Gallart Mateu
- Justyna Płotka-Wasylka
2023 TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Due to the complexity of analytical procedures employed for the determination of wide spectrum of persistent organic pollutants (POPs), it is important to consider the green character of the applied protocols and propose the greenest solutions. In this review, the green aspects of several analytical procedures used for the determination of polychlorinated naphthalenes (PCNs) (as a representatives of POPs) in different types of samples were evaluated using different green analytical tools, the Green Analytical Procedure Index (GAPI) and the Analytical GREEnness Metric Approach for sample preparation (AGREEprep). A clear differences were observed in the increase in greenness of the various stages of the analytical procedure. The extraction, purification as well as the preconcentration of analytes were identified as the most sensitive and most influential stage in terms of greenness, but also in terms of the quality/reliability of the obtained research results by applying a given analytical procedure.
Greenness assessment of analytical methods used for antibiotic residues determination in food samples
- Khrystyna Vakh
- Marek Tobiszewski
2023 TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Food of animal origin plays an important role in ensuring a healthy and sustainable human diet. However, residues of pharmaceuticals, especially antibiotics, can be the cause of many health problems. To protect consumers and improve food quality, analytical methods used to determine contaminants should be simple, selective, and have high throughput and low detection limits. Recently, greenness metric tools have proven useful in evaluating analytical procedures and assessing their impact on the environment and sustainable development. The Analytical GREEnness metric (AGREE) was applied to evaluate the green profile of liquid- and solid-phase extraction procedures used to determine antibiotic residues in food samples. The comparison of the procedures was performed for tetracycline antibiotics, due to their broad application in animal husbandry. The twelve input variables of AGREE were compared for each procedure and the total score was evaluated to show the overall impact into the greenness improvement.
Ground lemon and stevia leaves as renewable functional fillers with antioxidant activity for high-density polyethylene composites
- Mateusz Barczewski
- Joanna Aniśko
- Aleksander Hejna
- Olga Mysiukiewicz
- Paulina Kosmela
- Kamila Sałasińska
- Anna Boczkowska
- Anna Przybylska-balcerek
- Kinga Stuper-szablewska
2023 Full text Clean Technologies and Environmental Policy
The development of new sustainable material solutions in the processing of thermoplastic polymers concerns both the application of biopolymers and the use of valorized plant derivatives as fillers and modifiers of petrochemical polymers. Herein, the possibility of using unprocessed raw parts of two commonly used in the food industry leaves, i.e., lemon (LL) and stevia (ST), as active and functional fillers for high-density polyethylene (HDPE) has been verified. The series of composites containing 1, 2, and 5 wt% of ground leaves produced in the melt-mixing process were analyzed for thermal properties (DSC and TGA), and the antioxidant potential of the fillers was evaluated. Verifying the active effect of the ground leaves on the resistance to oxidation in the molten state was carried out by oxygen induction time (OIT by DSC) analysis and oscillatory rheology under steady-state shear conditions combined with spectroscopic (FTIR) carbonyl index (CI) analysis. Studies have shown that the introduction of 5 wt% of both types of leaves allows for a significant increase in the melt oxidation resistance (above 2 times longer OIT concerning HDPE, ~ 35 min) of composites without substantial changes in their crystalline structure and thermal stability. Determined after the long-term rheological measurements in an oxidative atmosphere CI showed 70 and 82% lower values for 5 wt% LL and ST composites compared to unmodified polyethylene.
Group 11 complexes with a phosphanylphosphaalkene ligand: preparation and stability study
- Aleksandra Ziółkowska
- Natalia Szynkiewicz
- Jacek Ryl
- Łukasz Ponikiewski
2023 DALTON TRANSACTIONS
The reactivities of two selected phosphanylphosphaalkenes, Ph2C=P-PtBu2 (1a) and (p-MeO-Ph)2C=P-PtBu2 (1b), toward CuCl, AgCl and (tht)AuCl (tht = tetrahydrothiophene) were investigated. As a result, new phosphanylphosphaalkene dimeric and monomeric complexes were formed (Cu and Ag dimeric and Au monomeric). All obtained products were air and moisture stable and light insensitive.
GUIDED WAVES IN SHIP STRUCTURAL HEALTH MONITORING – A FEASIBILITY STUDY
- Emil Roch
- Beata Zima
- Krzysztof Wołoszyk
- Yordan Garbatov
2023 Full text Polish Maritime Research
Ships and offshore structures operate in a severe corrosion degradation environment and face difficulty in providing long- lasting corrosion protection. The Classification Societies recommend regular thickness measurements leading to structural component replacements, to ensure structural integrity during service life. The measurements are usually performed using ultrasonic thickness gauges and such an approach requires multiple measurements of the corroded structural components. Otherwise, the collected data are insufficient to precisely assess the corrosion degradation level. This study aims to perform numerical and experimental analyses to verify the use of guided ultrasonic waves in defining the corrosion degradation level of the corroded structural components of a ship. The study incorporates the fundamental antisymmetric Lamb mode, excited by piezoelectric transducers attached at the pre-selected points on stiffened panels, representing typical structural ship components. The specimens are exposed to accelerated marine corrosion degradation, the influence of the degree of degradation on the wave time of flight being analysed. The study indicates that guided waves are a promising approach for diagnosing corroded structural components. The signals characterised by a high signal-to-noise ratio have been captured, even for relatively long distances between the transducers. This proves that the proposed approach can be suitable for monitoring more extensive areas of ship structures by employing a single measurement