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Gdańsk University of Technology

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Publications from the year 2024

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  • Opracowanie i wprowadzenie nowoczesnego systemu utrzymania ruchu urządzeń opartego na strategii planowo – zapobiegawczej na obiekcie offshore
    • Paweł Magulski
    2024 Full text

    W pracy przedstawiono metodykę utrzymania ruchu maszyn i urządzeń na obiekcie offshore. Opracowany autorski system utrzymania ruchu, który został wdrożony na morskiej platformie wydobywczej „Petrobaltic” gdzie do przesyłu i przetwarzania danych wykorzystano dostępną infrastrukturę informatyczną. Założenia realizowano z wykorzystaniem metod naukowych takich jak analiza case study, metody eksperckie i inne. Pracę zrealizowano w ośmiu etapach, w ramach których stworzono bazy danych systemów i urządzeń z podziałem na lokalizacje funkcjonalne; opracowano i wdrożono do istniejących systemów ERP listy zadań przeglądowych wynikających z eksploatacji urządzeń, wzbogaconych o kalendarze upływu ważności certyfikatów, atestów, przeglądów poszczególnych urządzeń; opracowano i wdrożono do istniejących systemów ERP zadania remontowe dla urządzeń w myśl metodologii „Planned Maintenance”; przypisano do poszczególnych lokalizacji funkcjonalnych pełną dokumentację urządzeń wchodzących w jej skład; określono i wdrożono podstawowe wymogi dokumentacyjne pozwalających na tworzenie baz danych prowadzonych remontów; w oparciu o stworzone lokalizacje funkcjonale określono krytyczności urządzeń oraz wprowadzono efektywne zarządzania magazynami części zamiennych i środkami eksploatacyjnymi w oparciu o analizę ryzyka. Praca zawiera prezentację wdrożenia na bazie systemu SAP PM, w której przedstawiono funkcjonujący schemat utrzymania ruchu wraz z wzorcami przetwarzania informacji i realizacji zawiadomień przeglądowych uwzględniającą dalsze postępowania w przypadku konieczności realizacji zawiadomienia awaryjnego, remontowego lub protokołu z dodatkowych prac. Badania nad funkcjonowaniem wdrożonego systemu w przedsiębiorstwie LOTOS Petrobaltic potwierdziły właściwe działanie systemu. Wdrożony system poprawił stan techniczny platformy Petrobaltic należącego do przedsiębiorstwa LOTOS Petrobaltic, zwiększając bezpieczeństwo oraz zapewniając lepszą dostępność techniczną instalacji, maszyn i urządzeń, zgodnie z istniejącymi ograniczeniami organizacyjnymi, założeniami technicznymi, ekonomicznymi co zostało potwierdzone wskaźnikami skuteczności procesu utrzymania ruchu. System funkcjonuje zgodnie z oczekiwaniami nieprzerwanie od 2021, a wszystkie założenia wdrożenia zostały zrealizowane.

  • Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples
    • Patryk Sokołowski
    • Kacper Cierpiak
    • Małgorzata Szczerska
    • Maciej Wróbel
    • Aneta Łuczkiewicz
    • Sylwia Fudala-Książek
    • Paweł Wityk
    2024 Full text Journal of Biophotonics

    In this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. In the case of infectious diseases, wastewater monitoring can be used to detect the presence of inflammation biomarkers, such as the proposed C-reactive protein, for monitoring inflammatory conditions and mass screening during epidemics for early detection in communities of concern, such as hospitals, schools, and so on. The proposed spectroscopy method supported with machine learning for real-time detection of infectious agents will eliminate the need for time-consuming processes, which contribute to reducing costs. The spectra in range 220–750 nm were used for the study. We achieve accuracy of our prediction model up to 68% with using only absorption spectrophotometer and machine learning. The use of such a set makes the method universal, due to the possibility of using many different detectors.

  • Optimisation of the Energy Consumption of a Small Passenger Ferry with Hybrid Propulsion
    • Magdalena Kunicka
    2024 Full text Polish Maritime Research

    The main goal in the design phase is to create a safe ship with a very efficient (and preferably zero-emission) propulsion system. To obtain such ships, new concepts are being developed for both propulsion systems and individual components. The choice of a propulsion system is not straightforward. To optimise the selection of the propulsion system, it is valuable to optimise the energy demand of this unit, which can be done by creating operational movement profiles that indicate the differences in energy demand needed to cover the same route within similar times. Optimisation can be performed based on many different criteria, especially for crowded waterways, and can not only reduce the amount of energy needed to power the propulsion system but also increase navigational safety. In this work, optimisation is carried out by searching the space of all possible solutions, which allows for an in-depth analysis according to various criteria.

  • Optimization of vortex-assisted supramolecular solvent-based liquid liquid microextraction for the determination of mercury in real water and food samples
    • Muhammad Farooque Lanjwani
    • Adil Elik
    • Ayşenur Öztürk Altunay
    • Mustafa Tuzen
    • Hameed Haq
    • Grzegorz Boczkaj
    2024 JOURNAL OF FOOD COMPOSITION AND ANALYSIS

    A novel method was developed for sample preparation for spectrophotometric determination of Hg(II) in water and food samples. The method was based on vortex-assisted supramolecular solvent-assisted liquid-liquid microextraction (VA-SUPRASs-LLME). Analytical parameters such as pH, chelating agent, solvent type and volume, vortex time and salting out effect were optimized. Surface and normal probability plots were drawn for the variables using the optimization data. Microwave-assisted digestion of samples was performed before the extraction procedure. L-cysteine was found to be more effective as a ligand for Hg(II). Five different SUPRASs were prepared and used for the extraction of Hg(II). A 1-decylamine/thymol/water at a 1:2:1 molar ratio assisted by a salting effect was found most effective for optimal extraction. Limits of detection and limit of quantification were found 0.6 μg L−1 and 2.0 μg L−1 with a very good linearity range of 2–350 μg L−1. Intra-day and inter-day precisions were in the range of 1.8–4.0 % with a preconcentration factor 150. The accuracy of the method estimated by analysis of certified reference materials was 96–98.5 %. Finally, the new method was used for the determination of Hg(II) in real water, food samples, and certified reference materials (NIST, IAEQ/W-4(simulated freshwater), and DORM-4; fish protein).

  • Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
    • Farzin Kazemi
    • Neda Asgarkhani
    • Robert Jankowski
    2024 EXPERT SYSTEMS WITH APPLICATIONS

    Efficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation plans, providing insights into building performance and retrofitting costs. The complexity of modeling, analysis, and post-processing of the results makes it hard to fast-track the seismic probabilities, and there is a need to optimize the computational time. This research addresses seismic probability and risk assessment of reinforced concrete shear walls (RCSWs) by introducing stacked machine learning (Stacked ML) models based on Bayesian optimization (BO), genetic algorithm (GA), particle swarm optimization (PSO), and gradient-based optimization (GBO) algorithms. The study investigates 4-, to 15-Story RCSWs assuming different bay lengths and soil types to build a comprehensive database based on the incremental dynamic analysis (IDA) subjected to 56 near-field pulse-like and no-pulse records. Having 227,200 and 63,384 data points for a median of IDA curve (MIDA) and seismic probability curve, respectively, the proposed Stacked ML models have shown good performance on curve fitting ability by accuracy of 99.1% and 99.4% for MIDA and seismic fragility curves, respectively. In addition, the proposed models can estimate the mean annual frequency, λ, which is a key parameter in seismic risk assessment of buildings. To provide the results of the study for general buildings, a user-friendly GUI is proposed that facilitates result utilization, offering insights into seismic performance levels, providing the estimated MIDA and seismic failure probability curves, and mean annual frequency calculations for specific performance levels and seismic hazard curves.

  • Optimizing CO2 Purification in a Negative CO2 Emission Power Plant
    • Milad Amiri
    • Jaroslaw Mikielewicz
    • Paweł Ziółkowski
    • Dariusz Mikielewicz
    2024 CHEMICAL ENGINEERING & TECHNOLOGY

    In the pursuit of mitigating CO2 emissions, this study investigates the optimisation of CO2 purification within a Negative CO2 Emission Power Plant using a spray ejector condenser (SEC) coupled with a separator. The approach involves direct-contact condensation of vapour, primarily composed of an inert gas (CO2), facilitated by a subcooled liquid spray. A comprehensive analysis is presented, employing a numerical model to simulate a cyclone separator under various SEC outlet conditions. Methodologically, the simulation, conducted in Fluent, encompasses three-dimensional, transient, and turbulent characteristics using the Reynolds Stress Model (RSM) turbulent model and mixture model to replicate the turbulent two-phase flow within a gas-liquid separator. Structural considerations are delved into, evaluating the efficacy of single and dual inlet separators to enhance CO2 purification efficiency. The study reveals significant insights into the optimisation process, highlighting a notable enhancement in separation efficiency within the dual inlet cyclone compared to its single inlet counterpart. Specifically, a 90.7% separation efficiency is observed in the former, characterised by symmetrical flow patterns devoid of wavering CO2 cores, whereas the latter exhibits less desirable velocity vectors. Furthermore, the investigation explores the influence of key parameters, such as liquid volume fraction (LVF) and water droplet diameter, on separation efficiency. It is ascertained that a 10% LVF with a water droplet diameter of 10 μm yields the highest separation efficiency at 90.7%, whereas a 20% LVF with a water droplet diameter of 1 μm results in a reduced efficiency of 50.79%. Moreover, the impact of structural modifications, such as the addition of vanes, on separation efficiency and pressure drop is explored. Remarkably, the incorporation of vanes leads to a 9.2% improvement in separation efficiency and a 16.8% reduction in pressure drop at a 10% LVF. The findings underscore the significance of structural considerations and parameter optimisation in advancing CO2 capture technologies, with implications for sustainable energy production and environmental conservation.

  • Optimizing Construction Engineering Management Using Metaheuristic Methods and Bayesian Networks
    • Anna Jakubczyk-Gałczyńska
    • Agata Siemaszko
    • Maryna Poltavets
    2024 Full text Applied Sciences-Basel

    The construction of buildings invariably involves time and costs, and disruptions impact ongoing construction projects. Crisis situations in management strategies, structural confusion, and finan-cial miscalculations often arise due to misguided decision-making. This article proposes a method that combines the learning of Bayesian Networks and heuristic techniques to optimize deci-sion-making processes in construction scheduling. As an innovative approach in order to enhance construction management, the functioning of biological, molecular, and physical objects and nervous systems is considered, applying bionic features to mimic their efficiency and precision, thereby optimizing construction processes and improving coordination and decision-making. Bayesian Networks are used for probabilistic analysis, and heuristic methods guide quick deci-sion-making. The results demonstrate the effectiveness of Bayesian Networks and heuristic methods in data analysis and decision-making in construction engineering. The developed algo-rithm can be successfully applied to both erecting and planning construction projects.

  • Optimizing Ni–Cr patterned boron-doped diamond band electrodes: Doping effects on electrochemical efficiency and posaconazole sensing performance
    • Anna Dettlaff
    • Michał Rycewicz
    • Łukasz Macewicz
    • Paweł Rutecki
    • Mirosław Sawczak
    • Paul Wittendorp
    • Shruti Jain
    • Elizaveta Vereshchagina
    • Robert Bogdanowicz
    2024 TALANTA.The International Journal of Pure and Applied Analytical Chemistry

    There is growing interest in developing diamond electrodes with defined geometries such as, for example, micrometer-sized electrode arrays to acquire signals for electroanalysis. For electroanalytical sensing applications, it is essential to achieve precise conductive patterns on the insulating surface. This work provides a novel approach to boron-doped diamond patterning using nichrome masking for selective seeding on an oxidized silicon substrate. The optimized process involves nichrome deposition, sonication, chemical etching, seeding, and tailored chemical vapor deposition of boron-doped diamond with an intrinsic layer to suppress boron diffusion. Through a systematic investigation, it was determined that isolated boron-doped diamond band electrodes can be efficiently produced on non-conductive silica. Additionally, the influence of boron doping on electrochemical performance was studied, with higher doping enhancing the electrochemical response of band electrodes. To demonstrate sensing capabilities, boron-doped diamond bands were used to detect posaconazole, an antifungal drug, exploiting its electroactive behaviour. A linear correlation between posaconazole concentration and oxidation peak current was observed over 1.43 × 10−8 – 5.71 × 10−6 M with a 1.4 × 10−8 M detection limit. The developed boron-doped diamond microbands could significantly impact the field of electroanalysis, facilitating detection of diverse biologically relevant molecules. Overall, this diamond patterning approach overcomes major challenges towards all-diamond electrochemical sensor chips.

  • Optymalizacja izolatora przepustowego średniego napięcia do zastosowań technologicznych
    • Paweł Pankowski
    • Marek Olesz
    2024 Full text Przegląd Elektrotechniczny

    W publikacji podjęto się rozpoznania przyczyn uszkodzeń izolatora przepustowego średniego napięcia (SN) stosowanego w procesie technologicznym oczyszczania ropy naftowej. Z uwagi na skomplikowany model izolatora wykonano obliczenia symulacyjne w układzie 2D na podstawie których wyznaczono charakterystyki natężenia pola elektrycznego. W obszarach wtrącin powietrznych lub nieprawidłowo dobranej izolacji promieniowej wartości natężenia pola silnie wzrastają powodując wyładowania niezupełne przyspieszające starzenie układu izolacyjnego.

  • Organic pollutants photodegradation increment with use of TiO2 nanotubes decorated with transition metals after pulsed laser treatment
    • Zuzanna Bielan
    • Adam Kubiak
    • Jakub Karczewski
    • Jacek Ryl
    • Karol Załęski
    • Emerson Coy
    • Piotr Krawczyk
    • Katarzyna Siuzdak
    2024 MATERIALS SCIENCE IN SEMICONDUCTOR PROCESSING

    Among various titanium(IV) oxide (TiO2, titania) structures, 1D nanotubes (TiO2 NTs) produced during the two-electrode anodization process, are extensively utilized in sensors or supercapacitors as well as in photo(electro)catalytic water splitting. However, due to wide bandgap and fast electron-hole recombination additional modifications, mostly concerned on materials surface, are required. According to the recent research, TiO2 NTs photo(electro)catalytic characteristic were markedly improved by the combination of surface decoration with transition metal nanoparticles further treated with the laser beam. Nevertheless, until recently, the photocatalytic ability of laser-treated TiO2 NTs for recalcitrant chemicals degradation were hardly described. In this regard, our work focuses on obtaining long, about 7.3 μm TiO2 NTs (L-TiO2 NTs), together with their photoactivity and physicochemical characteristics, as well as their alterations following surface modification utilizing transition metals (tungsten, chromium and nickel) together with laser treatment. Obtained L-TiO2 NTs are characterized by over 13.5 times larger BET surface area in comparison to reference spaced TiO2 NTs with approximately 2 μm length (0.61 m2 g−1 and 0.05 m2 g−1, respectively). This allowed for increasing of the materials photocatalytic activity in both UV–vis and vis light. Additionally, phenol photodegradation reached up to 34% (0.21·10−2 min−1) for tungsten-modified titania after laser annealing at 20 mJ cm2 fluence. The reaction mechanism research revealed that reduction of organic pollutants concentration was primarily caused by superoxide radical anions •O2−. Furthermore, obtained modified L-TiO2 NTs showed remarkable durability without losing their initial activity over ten photocatalytic cycles.

  • Organizational Resilience in Hospitality and Tourism
    • Małgorzata Rozkwitalska-Welenc
    • Jacek Borzyszkowski,
    • Beata Basińska
    • Fevzi Okumus
    • Osman M. Karatepe
    2024

    Although ‘VUCA’ is not a new term, the features of the world it describes, a volatile, uncertain, complex and ambiguous environment, have never been more valid. The VUCA world has become the new reality for business, specifically for hospitality and tourism organizations that are more vulnerable than any other sector due to the historically-recognized turbulent environment in which they operate. In this book, the authors present unique factors that make hospitality and tourism organizations resilient in the VUCA world. With contacts at the center of their hospitality and tourism organizational resilience model, the organizational and psychological perspectives are also incorporated. This innovative volume tests the model of organizational resilience in hospitality and tourism organizations. The study identifies and validates organizational and individual factors that create a resilient organization in the hospitality and tourism sector. It will be of interest to researchers, academics, practitioners, and advanced students in the fields of organizational studies, strategic management, hospitality, and tourism management.

  • Orientation effects on the fracture behaviour of additively manufactured stainless steel 316L subjected to high cyclic fatigue
    • Mateusz Kopec
    • Gunputh Urvashi
    • Wojciech Macek
    • Zbigniew Kowalewski
    • Paul Wood
    2024 THEORETICAL AND APPLIED FRACTURE MECHANICS

    In this paper, stainless steel 316L (SS316L) bars were additively manufactured (AM) in three orientations (Z – vertical, XY – horizontal, ZX45 – midway between vertical and horizontal) by using the Laser Powder Bed Fusion Melting (LPBF-M) method. The AM specimens were subjected to load control fatigue testing under full tension and compression (R = -1) at stress amplitudes ±350, ±400 and ±450 MPa. The XY and ZX45 printing orientations were found to significantly improve service life. Although similar strain response was found for each orientation when the same stress amplitude was applied, slightly different fracture mechanisms were identified during the post-mortem surface observations.

  • OrphaGPT: An Adapted Large Language Model for Orphan Diseases Classification
    • Kushal Pokhrel
    • Cesar Sanin
    • Md Rafiqul Islam
    • Edward Szczerbicki
    2024

    Orphan diseases (OD) represent a category of rare conditions that affect only a relatively small number of individuals. These conditions are often neglected in research due to the challenges posed by their scarcity, making medical advancements difficult. Then, the ever-evolving medical research and diagnosis landscape calls for more attention and innovative approaches to address the complex challenges of rare diseases and OD. Pre-trained LLMs are a crucial component of contemporary artificial intelligence (AI), contributing to significant advancements in the performance of complex AI tasks. In this research, we aim to introduce a novel model that leverages the capabilities of a fine-tuned GPT-3.5 Turbo model with reasonable accuracy. We design a comprehensive, customized user interface named OrphaGPT, an interactive GPT chat that allows users to engage in deeper conversations about ODs. Our model achieves an 80% accuracy rate, attained through an exploration of Natural Language Processing (NLP), and domain-specific fine-tuning and fine-prompting. Our findings provide valuable insights into the new perspectives of prompting as a way of fine-tuning LLMs while customizing them to specialised domains. This showcases the potential for adaptive generative AI to play a pivotal role in the specific field of OD. The implications of this research extend to medical practitioners, researchers, and the OD community, offering new interactive ways to understand, identify, and diagnose such complex diseases through the customized advanced language model. The successful customization of LLMs into specific fields signifies an advancement of AI, contextualising dialogues and presenting implications for future advances.

  • „Osiem kobiet”, ogólnopolska wystawa malarstwa, grafiki i rzeźby, Muzeum Śremskie.
    • Dominika Krechowicz
    2024

    „Osiem kobiet”, ogólnopolska wystawa malarstwa, grafiki i rzeźby, Muzeum Śremskie. W wystawie biorą udział: Dominika Krechowicz, Jowita Mormul, Paulina Komorowska-Birger, Monika Korona, Joanna Trzcińska, Katarzyna Słuchocka, Joanna Stefańska, Natalia Wegner. Kuratorstwo wystawy: Katarzyna Słuchocka, Joanna Stefańska, Instytut Architektury Wnętrz i Wzornictwa Przemysłowego, Wydział Architektury Politechniki Poznańskiej

  • Overcoming Phobias: Harnessing the Power of Immersive Virtual Reality Therapy
    • Agnieszka Popławska
    • Jacek Lebiedź
    • Przemysław Bąbel
    2024

    The goal of the chapter was to review the different therapeutic techniques used in the treatment of various forms of phobias, with particular emphasis on virtual reality treatment. We define different types of phobias, including social ones. We also describe treatment techniques – adopted from behavioral therapy – which have been developed to aid the treatment of phobias. Particular emphasis has been placed on the flooding, implosive therapy and systematic desensitization. We review the results of virtual reality treatment, which show that one of the most effective and most emotionally engaging techniques is that known as Cave Automatic Virtual Environment CAVE – literally a room which one enters and is automatically completely immersed in a virtual reality. In this context, a description of the possibilities on offer at the Immersive 3D Visualization Lab built on the premise of Gdańsk University of Technology, is a substantial and significant part of the chapter. The laboratory, which, unlike any other such laboratory in the world, features a spherical walk simulator, offers people the possibility to move around the CAVE while they are completely immersed in 3D virtual reality. We also present a few applications which make use of virtual reality and have been developed to serve as therapeutic tools in the treatment of phobias. Thus, our chapter combines a narrative review of the literature with a detailed description and discussion of the technical and practical issues in applying CAVE in the treatment of phobias.

  • Own or public? Later livelihoods of Ukrainian war migrant households in Poland
    • Katarzyna Kochaniak
    • Anna M. Korzeniowska
    • Michał Pietrzak
    2024 Full text INTERNATIONAL MIGRATION

    This paper presents empirical research on the livelihood resources of Ukrainian households that fled to Poland due to the Russian invasion and reside there long term. Using a nationwide sample of these households and an accurate econometric framework, we investigate the factors influencing the role of income from work, other private resources and public assistance in covering their living costs in exile. Our findings confirm the importance of public assistance addressed to professional activation and childcare for households' self-reliance. Assistance from employers, housing conditions, intentions to settle permanently in Poland and financial responsibility for relatives in Ukraine are also among the decisive factors. However, sufficient monetary aid hinders households' self-reliance, along with health problems, language barriers and a lack of professional qualifications. Household composition is also significant, as those with children face the most adverse outcomes. Based on our results, we provide recommendations for public authorities responsible for migration policy.

  • Oxolane Ammonium Salts (Muscarine-Like)—Synthesis and Microbiological Activity
    • Patrycja Bogdanowicz
    • Janusz Madaj
    • Piotr Szweda
    • Artur Sikorski
    • Justyna Samaszko-Fiertek
    • Barbara Dmochowska
    2024 Full text INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

    Commercially available 2-deoxy-D-ribose was used to synthesize the appropriate oxolane derivative—(2R,3S)-2-(hydroxymethyl)oxolan-3-ol—by reduction and dehydration/cyclization in an acidic aqueous solution. Its monotosyl derivative, as a result of the quaternization reaction, allowed us to obtain eight new muscarine-type derivatives containing a quaternary nitrogen atom and a hydroxyl group linked to the oxolane ring. Their structure was fully confirmed by the results of NMR, MS and IR analyses. The crystal structure of the pyridinium derivative showed a high similarity of the conformation of the oxolane ring to previously published crystal structures of muscarine. Two reference strains of Gram-negative bacteria (Escherichia coli ATCC 25922 and Pseudomonas aeruginosa ATCC 27853), two reference strains of Gram-positive staphylococci (Staphylococcus aureus ATCC 25923 and Staphylococcus aureus ATCC 29213) and four reference strains of pathogenic yeasts of the genus Candida spp. (Candida albicans SC5314, Candida glabrata DSM 11226, Candida krusei DSM 6128 and Candida parapsilosis DSM 5784) were selected for the evaluation of the antimicrobial potential of the synthesized compounds. The derivative containing the longest (decyl) chain attached to the quaternary nitrogen atom turned out to be the most active.

  • Oxygen concentration regulated the efficient liquefaction of vulcanized natural rubber
    • Teng Ren
    • Xinyan Yue
    • Xiaorong He
    • Krzysztof Formela
    • Shifeng Wang
    2024 POLYMER DEGRADATION AND STABILITY

    Oxidative liquefaction represents a promising avenue for the homogeneous and high-value utilization of waste tire rubber. Given that truck tires predominantly comprise natural rubber (NR), this study investigated the efficient liquefaction of vulcanized NR regulated by oxygen concentration. Remarkably, the liquefaction of vulcanized NR was realized with an oxygen concentration of 75 % at 200 °C within 3 min. FTIR spectroscopy showed that carbonyl, ether and sulphoxide groups were produced during the liquification of NR vulcanizates. Oxygen concentration significantly affected the oxidative efficiency of both the main chains and crosslinks, with a more pronounced effect observed on the main chains. Nevertheless, the similar molecular weights and polydispersity indices across various degraded products suggested a selective oxidative cleavage of the NR backbone. Furthermore, online ATR-FTIR was used to monitor the dynamic changes of NR's molecular structure to elucidate the oxidative degradation mechanism. The oxidative cleavage of NR main chain primarily occurred at the C-C bonds connected with allyl groups, producing oxidized products enriched with conjugated carbonyl groups. Alternatively, the main chain scission may also occur due to the electronic rearrangement effect of the C=C bond and produce saturated carbonyl groups. Oxygen concentration modulated the degradation efficiency of vulcanized NR, which provided an efficient strategy for the upcycling of NR-based waste tires.

  • Oxylipin profiling for clinical research: Current status and future perspectives
    • Karol Parchem
    • Sophia Letsiou
    • Toni Petan
    • Olga Oskolkova
    • Isabel Medina
    • Ondrej Kuda
    • Valerie B. O'Donnell
    • Anna Nicolaou
    • Maria Fedorova
    • Valery Bochkov
    • Cécile Gladine
    2024 Full text PROGRESS IN LIPID RESEARCH

    Oxylipins are potent lipid mediators with increasing interest in clinical research. They are usually measured in systemic circulation and can provide a wealth of information regarding key biological processes such as inflammation, vascular tone, or blood coagulation. Although procedures still require harmonization to generate comparable oxylipin datasets, performing comprehensive profiling of circulating oxylipins in large studies is feasible and no longer restricted by technical barriers. However, it is essential to improve and facilitate the biological interpretation of complex oxylipin profiles to truly leverage their potential in clinical research. This requires regular updating of our knowledge about the metabolism and the mode of action of oxylipins, and consideration of all factors that may influence circulating oxylipin profiles independently of the studied disease or condition. This review aims to provide the readers with updated and necessary information regarding oxylipin metabolism, their different forms in systemic circulation, the current limitations in deducing oxylipin cellular effects from in vitro bioactivity studies, the biological and technical confounding factors needed to consider for a proper interpretation of oxylipin profiles.

  • Ozone nanobubble technology as a novel AOPs for pollutants degradation under high salinity conditions
    • Priya Koundle
    • Neelkanth Nirmalkar
    • Malwina Momotko
    • Grzegorz Boczkaj
    2024 WATER RESEARCH

    Conventional water treatment systems frequently exhibit diminished efficiency at high salinity - a significant issue especially for real industrial effluents - mostly due to the creation of intricate structures between pollutants and salts. One of the primary obstacles associated with high salinity conditions is the generation of by-products that pose additional hurdles for treatment. In this work, we have investigated the novel advanced oxidation process a so-called ozone nanobubble technology for degradation of the pollutants at high salinity conditions. The mass transfer is often the rate-limiting step in gas-liquid process and the poor rate of mass transfer diminishes the overall efficacy. One of the primary disadvantages associated with ozone is its restricted solubility and instability when dissolved in an aqueous solution. These characteristics impose limitations on its potential applications and need the use of specialized systems to facilitate gas-liquid interaction. In this work, we have also suggested enhancing the ozonation process through the utilization of ozone nanobubbles. The findings of our experiment and subsequent analysis indicate that the presence of nanobubbles enhances the process of ozonation through three key mechanisms: (i) an increased mass transfer coefficient, (ii) a higher rate of reactive oxygen species (ROS) generation attributed to the charged interface, and (iii) the nanobubble interface serving as an active surface for chemical reactions. The predicted mass transfer coefficients were found to range from 3 to 3.5 min−1, a value that is notably greater than that seen for microbubbles. The study showcased the degradation of methylene blue dye through the utilization of ozone nanobubbles, which exhibited a much higher rate of dye degradation compared to ozone microbubbles. The confirmation of the radical degradation mechanism was achieved by the utilization of electron spin resonance (ESR) measurements. The developed process has high potential for application in industrial scale textile wastewater treatment.