Publikacje (OA)
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Publikacje z afiliacją AGH: artykuły, książki, rozdziały książek, preprinty, postprinty, publikacje powstałe m.in. w ramach projektów badawczych, a wydane poza AGH.
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Item type:Book, Access status: Open Access , Geotourist guidebook. geotourism attractions of northern OmanBrzoza, Jakub; Esmund, Marta; Fabrowska, Zofia; Michalski, Mateusz; Pachoń, Natalia; Salwa, Wiktor; Ziarek, Zbigniew; Akademia Górniczo-Hutnicza im. Stanisława Staszica (Kraków). Wydział Geologii, Geofizyki i Ochrony Środowiska. Koło Naukowe "Geoturystyka"
Wydział Geologii, Geofizyki i Ochrony ŚrodowiskaItem type:Book, Access status: Open Access , Groby profesorów AGH : Cmentarz Rakowicki(Stowarzyszenie Wychowanków Akademii Górniczo-Hutniczej im. Stanisława Staszica w Krakowie, 2019) Sieński, Hieronim
Biblioteka GłównaItem type:Book, Access status: Open Access , Groby profesorów AGH : Cmentarz Rakowicki(Stowarzyszenie Wychowanków Akademii Górniczo-Hutniczej im. Stanisława Staszica w Krakowie, 2020) Sieński, Hieronim
Biblioteka GłównaItem type:Book, Access status: Open Access , Groby profesorów AGH : Cmentarz Rakowicki(Stowarzyszenie Wychowanków Akademii Górniczo-Hutniczej im. Stanisława Staszica w Krakowie, 2022) Sieński, HieronimItem type:Book, Access status: Open Access , Mikrostruktura jako podstawa modelowania numerycznego właściwości tworzyw ceramicznych(Wydawnictwo Naukowe AKAPIT, 2022) Grabowski, Grzegorz
Wydział Inżynierii Materiałowej i CeramikiTematyka monografii dotyczy zagadnień związanych z modelowaniem właściwości mechanicznych i termomechanicznych polikrystalicznych tworzyw ceramicznych. W monografii zostały omówione najważniejsze koncepcje i praktyczne rozwiązania stosowane do opisu i modelowania właściwości tej grupy materiałów. Materiał zawarty w monografii, może posłużyć zarówno jako wprowadzenie do tematyki dotyczącej opisu i modelowania właściwości ceramicznych materiałów polikrystalicznych, ale także może pozwolić na bezpośrednią realizację zaawansowanych modeli umożliwiających symulacje w zakresie właściwości termosprężystych. Użyteczność przedstawionych w monografii rozwiązań została potwierdzona szeregiem publikacji autora, dlatego mogą one stanowić nie tylko punkt wyjścia do dalszych badań podstawowych, ale mogą również posłużyć do ilościowych analiz inżynierskich.Item type:Book, Access status: Open Access , Groby rektorów Akademii Górniczej i Akademii Górniczo-Hutniczej(Stowarzyszenie Wychowanków Akademii Górniczo-Hutniczej im. Stanisława Staszica w Krakowie, 2021) Sieński, HieronimItem type:Article, Access status: Open Access , Coupling phosphonate oxidation and phosphate sequestration via Cu-La dual sites in La-based layered carbonate hydroxide(2026) Baoxue, Zhou; Bo, He; Yuli, Ma; Xue, Li; Yan, Wei; Baoxue, Zhou; Mingce, Long
Wydział Inżynierii Metali i Informatyki PrzemysłowejPhosphonates are refractory pollutants that contribute to eutrophication through their transformation into bioavailable phosphate. Although Cu-based advanced oxidation processes (AOPs) can degrade phosphonates via high-valent Cu(III) species, the released phosphate strongly coordinates with Cu sites, causing catalyst poisoning and rapid performance decay. Herein, a Cu-containing La-based layered carbonate hydroxide (CuLa-LCH) is designed to couple phosphonate oxidation with in situ phosphate sequestration. The CuLa-LCH/peroxymonosulfate (PMS) system achieves complete degradation of aminotris(methylenephosphonic acid) within 30 min, while simultaneously enabling efficient phosphate sequestration via La sites. Mechanistic and theoretical results reveal that Cu sites activate PMS to form Cu(III) intermediates that initiate C-N bond cleavage and subsequent oxidation toward C-P bond cleavage and phosphate release, whereas spatially coupled La-containing sites preferentially sequester the liberated phosphate, preventing Cu deactivation. This dual-site functionality sustains catalytic activity by continuously removing phosphate from Cu centers. The CuLa-LCH/PMS system also shows good reusability, water-matrix tolerance and operational stability, while preliminary techno-economic analysis suggests its potential practical feasibility. This study provides a viable strategy for coupling phosphonate oxidation with phosphate sequestration for sustainable water treatment.Item type:Article, Access status: Open Access , Negative thermal expansion coefficient materials: from basics to applications, recent advances in solid oxide cells and future perspectives(2025) Winiarz, Piotr; Sultan, Amir; Ling, Yihan; Zheng, Kun
Wydział Energetyki i PaliwNegative thermal expansion has always interested scientists as an extraordinary physical property. Understanding this specific phenomenon allows to design and synthesize materials with abnormal, anisotropic, near-zero, or negative expansion. In effect, these materials find applications in many branches of science like mechanics, optics, micro- and nanoelectronics, magnetics, and medical and chemical applications. Since the great majority of these materials are electrical insulators, they did not find practical applications in electrochemistry. However, recently a new group of perovskite-based materials was discovered which gave vast opportunities to utilize such materials in fuel cell technology giving outstanding possibilities to improve and enhance their electrical, thermomechanical, and electrochemical properties. Therefore, the most limiting factor, which is the long-term stability, may be mitigated leading to improved electrolyte/electrode durability which enables future perspectives possibly allowing for faster commercialization of the technology. In this review article, we present a general insight into thermal expansion and its physical explanation along with many examples of materials with negative expansion, exhibiting different crystal structures. Experimental techniques for thermal expansion coefficient evaluation are summarized and widely discussed. In the main part of the article, many applications of materials with negative expansion are presented, focusing on recent advances in electrochemistry, mainly as composite electrodes with negative thermal expansion materials addition, which improves the electrochemical performance of solid oxide cells. In the summary, we present drawn conclusions and discuss future perspectives as a widely and rapidly developing branch of electrochemistry.Item type:Article, Access status: Open Access , Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model(2026) Bao, Rong; Wang, Bo; Li, Hongyu; Zheng, Riu; Wang, Xiao; Rutkowski, Leszek; Zhang, Qi; Ding, Liang; Tao, Dacheng
Wydział InformatykiLong Chain-of-Thought (CoT) reasoning enhances large reasoning models’ performance but suffers from severe inefficiencies, as models often overthink simple problems or underthink complex ones. Current sequence-level optimizations, like length penalties, are too coarse-grained to distinguish core logic from verbose language, precluding the necessary token-level control for efficient reasoning CoT. To overcome these limitations, we introduce Time-Frequency token Advantage Clipping (TFAC), a novel training framework designed to build efficient large reasoning models via token-level interventions. Specifically, TFAC functions along two dimensions: 1) The Frequency Dimension: It discourages inefficient loops and encourages deeper exploration by dynamically reducing the advantage scores of high-entropy tokens that are repeatedly generated within a single reasoning path. 2) The Time Dimension: It reduces excessive overthinking of the system by establishing a historical baseline for the occurrence count of each critical token in previously successful trajectories, and clipping the advantages of tokens that exceed this baseline during training. Crucially, to preserve the model’s exploratory capabilities on novel problems, this suppression mechanism is automatically disabled when no historical record of success is available. Experiments conducted on the Deepseek-Distill-32B and Qwen3- 8B models show that TFAC outperforms leading baseline methods, improving performance by 2.3 and 3.1 percentage points, respectively, while simultaneously reducing inference costs by 35% and 28% in scenarios where correct answers are generated. These results validate the significant efficacy of TFAC in training large reasoning models that are both powerful and highly efficient. The source code and datasets used in this study are available at https://github.com/rbao2018/TFAC.Item type:Article, Access status: Open Access , SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs(2026) Xu, Shuhan; Liang, Siyuan; Zheng, Hongling; Liu, Aishan; Wang, Xinbiao; Luo, Yong; Lin, Fu; Rutkowski, Leszek; Tao, Dacheng
Wydział InformatykiVisual language models (VLMs) have made significant progress in image captioning tasks, yet recent studies have found they are vulnerable to backdoor attacks. Attackers can inject undetectable perturbations into the data during inference, triggering abnormal behavior and generating malicious captions. These attacks are particularly challenging to detect and defend against due to the stealthiness and cross-modal propagation of the trigger signals. In this paper, we identify two key vulnerabilities by analyzing existing attack patterns: (1) the model exhibits abnormal attention concentration on certain regions of the input image, and (2) backdoor attacks often induce semantic drift and sentence incoherence. Based on these insights, we propose Semantic Reward Defense (SRD), a reinforcement learning framework that mitigates backdoor behavior without requiring any prior knowledge of trigger patterns. SRD learns to apply discrete perturbations to sensitive contextual regions of image inputs via a deep Q-network policy, aiming to confuse attention and disrupt the activation of malicious paths. To guide policy optimization, we design a reward signal named semantic fidelity score, which jointly assesses the semantic consistency and linguistic fluency of the generated captions, encouraging the agent to achieve a robust yet faithful output. SRD offers a trigger-agnostic, policy-interpretable defense paradigm that effectively mitigates local (TrojVLM) and global (Shadowcast) backdoor attacks, reducing ASR to 3.4% and 5.6% respectively, with less than 15% average CIDEr drop on the clean inputs. Our codes can be found at https://github.com/ Ciconey/SRD.git.Item type:Book Chapter, Access status: Open Access , EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations(Springer, 2025) Pabisz, Magdalena; Ciupek, Dominika; Vilkha, Askold; Paszyński, Maciej; Paszynski, M., Barnard, A.S., Zhang, Y.J. (eds)
Wydział InformatykiNOTE. This is a preprint of the paper with the same name in the Lecture Notes in Computer Science Journal. This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections. The Version of Record of this contribution is published in Paszynski, M., Barnard, A.S., Zhang, Y.J. (eds) Computational Science – ICCS 2025 Workshops. ICCS 2025. Lecture Notes in Computer Science, vol 15907, and is available online at: https://doi.org/10.1007/978-3-031-97554-7_10 In this paper we discuss a MATLAB implementation of the exponential integrators method employed for simulating of the brain tumor progression. As the input data we utilize publicly available T1-weighted magnetic resonance imaging dataset ds003826, representing healthy individuals. The data from these datasets are originally stored using NIfTI format. We select randomly one anonimized individual from the considered dataset. We normalize the brain scan data using min-max normalization to a range of 0 to 255. In the data from the dataset ds003826 the voxel resolution is not isotropic in all directions, so we interpolate the data from dimensions 176×248×256 into 194×248×256 in order to have proper proportions of the human brain. We set the data asa sequence of 256 PNG files with the resolution of 194 × 248. Having the MRI scan data, we run the exponential integrators method simulating the glioblastoma tumor growth using the Fisher-Kolmogorov diffusion-reaction model with logistic growth. We assume the initial tumor location and run the simulation predicting two years forward tumor growth. For the spatial discretization we employ the finite difference method, and for the temporal discretization we use the ultra-fast exponential integrators method. Our simulator generates the simulational results suitable for visualization using the ParaView tool.Item type:Article, Access status: Open Access , Electrodeposited copper-cuprite layers modified with rGO for light-supported conversion of $CO_{2}$ to methane and ethylene(2025) Mech, Krzysztof; Kolbusz, Patrycja; Sławek, Andrzej; Marzec, Mateusz M.; Csapó, Edit
Akademickie Centrum Materiałów i Nanotechnologii$Cu-Cu_{2}O-rGO$ composite layers were electrodeposited for the first time from alkaline copper(II) lactate-based electrolytes containing dispersed rGO flakes. The properties of electrodeposited composite materials are strongly affected by applied potentials. Obtained layers were investigated towards their catalytic activity in electro- and photoelectrochemical artificial $CO_{2}$-based synthesis of hydrocarbons. The effect of applied potential on the morphology, crystallographic structure, band gap, and conduction and valence band location was investigated. The catalytic performance of the electrodeposited layers was analyzed in $CO_{2}$-saturated $KHCO_{3}$ electrolyte under the dark and at light illumination applying different conversion potentials. The stability of the obtained layers was analysed based on XPS and XAS results. Maximal Faradaic efficiencies for methane and ethylene formation were achieved in the presence of light and amounted to 10 and 9.91%, respectively. Reported results indicate that the presence of rGO in deposited layers significantly affects the band structure of electrodeposited layers. It was also observed that even slight modification of electrodeposition or conversion potential results in noticeable differences in Faradaic efficiency corresponding to hydrocarbons formation.Item type:Article, Access status: Open Access , New type of composite hydrogel based on natural polysaccharides and sodium polyacrylate for the production of fire-resistant fabrics(2026) Osabe, Ryoko; Mastalska-Popławska, Joanna; Rutkowski, Paweł; Suematsu, Hisayuki; Kata, Dariusz; Szumera, Magdalena; Majka, Tomasz M.
Wydział Inżynierii Materiałowej i CeramikiFlexible and fire-resistant hydrogel–cotton fabric composites doped with ceramic fire retardants were obtained by the immersion method. Among the analyzed mixtures, the samples based on sodium polyacrylate, which provided the best degree of penetration and subsequent intumescence, and those containing magnesium hydroxide in their composition had the best fire-resistant parameters. This was confirmed based on TG/DSC and DMA thermal analysis, PCFC measurements, reaction to fire test results, and SEM microphotographs. The MIR spectroscopic analysis additionally proved that the fire-retardant mechanism is based on the creation of an intumescent structure strengthened by the interaction of fire retardants with various functions, such as hydroxides, which, during decomposition, create a protective char around the material. We believe that these results will contribute to the development of special fabrics with fire-retardant properties.Item type:Article, Access status: Open Access , Comparative Physicochemical Characterization of Electrospun PCL, PLLA, and PLCL Scaffolds and Cell Responses for Tissue Engineering Applications(2026) Polak, Martyna; Neela, Nagalekshmi Uma Thanu Krishnan; Berniak, Krzysztof; Knapczyk-Korczak, Joanna; Szewczyk, Piotr K.; Marzec, Mateusz M.; Stachewicz, Urszula
Wydział Inżynierii Metali i Informatyki PrzemysłowejIn tissue engineering, electrospun scaffolds are valued for their tunable features, which direct cell behavior. Within this study, we electrospun scaffolds from three common polyesters: polycaprolactone (PCL), poly(L-lactic acid) (PLLA), and poly(lactide-co-caprolactone) (PLCL), to identify differences in cell–material interactions. PLLA fibers had the largest average diameter (2.6 ± 0.2 µm), PLCL fiber diameter was intermediate (2.2 ± 0.5 µm), and PCL was the smallest (1.1 ± 0.6 µm). Additionally, X-ray photoelectron spectroscopy (XPS) revealed distinct surface chemistries that are correlated with streaming potential results at pH 7.4. PLCL fibers showed the most negative zeta potential (−36.4 ± 0.7 mV), followed by PLLA (−28.4 ± 0.8 mV) and PCL (−24.0 ± 0.5 mV). Mechanical testing indicates the highest strength for PLCL mats (5.6 ± 0.9 MPa), then PLLA (3.5 ± 0.3 MPa) and PCL (1.9 ± 0.1 MPa). Cell studies indicated lower initial adhesion of osteoblasts on PLCL (∼53%↓) and PLLA (∼73.6%↓) vs. PCL, likely reflecting PCL scaffold morphology; however, viability at 3 and 7 days was significantly higher on PLCL and PLLA. Microscopy studies confirmed greater filopodia and cell spreading on PLCL and PLLA. Overall, all three are suitable scaffold materials, with PLCL and PLLA supporting cytoskeleton organization and viability better.Item type:Article, Access status: Open Access , Enhanced Electroactive Phases of Poly(vinylidene Fluoride) Fibers for Tissue Engineering Applications(2024) Zaszczyńska, Angelika; Gradys, Arkadiusz; Ziemiecka, Anna; Szewczyk, Piotr K.; Tymkiewicz, Ryszard; Lewandowska-Szumieł, Małgorzata; Stachewicz, Urszula; Sajkiewicz, Paweł
Wydział Inżynierii Metali i Informatyki PrzemysłowejNanofibrous materials generated through electrospinning have gained significant attention in tissue regeneration, particularly in the domain of bone reconstruction. There is high interest in designing a material resembling bone tissue, and many scientists are trying to create materials applicable to bone tissue engineering with piezoelectricity similar to bone. One of the prospective candidates is highly piezoelectric poly(vinylidene fluoride) (PVDF), which was used for fibrous scaffold formation by electrospinning. In this study, we focused on the effect of PVDF molecular weight (180,000 g/mol and 530,000 g/mol) and process parameters, such as the rotational speed of the collector, applied voltage, and solution flow rate on the properties of the final scaffold. Fourier Transform Infrared Spectroscopy allows for determining the effect of molecular weight and processing parameters on the content of the electroactive phases. It can be concluded that the higher molecular weight of the PVDF and higher collector rotational speed increase nanofibers’ diameter, electroactive phase content, and piezoelectric coefficient. Various electrospinning parameters showed changes in electroactive phase content with the maximum at the applied voltage of 22 kV and flow rate of 0.8 mL/h. Moreover, the cytocompatibility of the scaffolds was confirmed in the culture of human adipose-derived stromal cells with known potential for osteogenic differentiation. Based on the results obtained, it can be concluded that PVDF scaffolds may be taken into account as a tool in bone tissue engineering and are worth further investigation.Item type:Article, Access status: Open Access , Coprecipitation of Ce with lead phosphates(2025) Staszel Kacper; Sordyl Julia; Puzio Bartosz; Manecki Maciej
Wydział Geologii, Geofizyki i Ochrony ŚrodowiskaCurrent development of sustainable technologies creates a demand for new sources of Rare Earth Elements (REE). Recent studies suggest that coprecipitation in the form of Pb-phosphates is one of the most effective methods in REE removal from aqueous solutions. This work focuses on the experimental study of the mechanisms of Ce coprecipitation with Pb phosphates, in particular with lead apatite - pyromorphite $(Pb_{5}(PO_{4})_{3}Cl)$. Coprecipitation experiments were conducted at ambient conditions, at pH range 1–11, by mixing solutions containing high concentrations of Pb and Ce (∼66,700 ppm and ∼ 7600 ppm, respectively) with solutions containing stoichiometric concentrations of $PO_{4}$ and Cl. As a result of coprecipitation with Pb phosphates, the Ce concentration decreased significantly to <2 ppm. The main product of the coprecipitation was Ce-doped pyromorphite (Pymsingle bondCe). Removal of Ce was most effective under alkaline conditions, while performance was slightly worse under acidic conditions, due in part to the slightly higher solubility of the precipitate. This was compared with a series of control experiments in the absence of either Pb, Cl, or Ce. Precipitation in the absence of Pb resulted in the formation of fibrous rhabdophane-Ce. In the absence of Cl, various phases were formed depending on pH conditions, such as ‘phosphoschultenite’ $(PbHPO_{4})$, Pb-hopeite $(PbPb_{2}(PO_{4})_{2}·nH_{2}O)$, mixed Pb and Ce hydrous phosphates, and hydroxylpyromorphite $(Pb_{5}(PO_{4})_{3}OH)$. In the absence of Ce, pure microcrystalline pyromorphite precipitated. Coprecipitation of Ce with Pb phosphates in the presence of Cl is advantageous due to the recovery of almost all Ce from solution in the form of a micro-crystalline Pym-Ce that is a very stable, insoluble phase easily separated from suspension. The precipitation of Pym-Ce is homogenous over a wide range of pH, assuring consistency in the obtained phases regardless of starting conditions. Achieved high Ce removal levels may be crucial for the progress of the REE extraction industry, in terms of this method being applicable to other REE for their recovery from solutions, including apatite leachates.Item type:Book Chapter, Access status: Open Access , Predicting Tuberculosis from X-Rays By Using Deep Learning(Bilgin Kültür Sanat Yayınları, 2022) Sevinç, Ömer; Mehrubeoğlu, Mehrube; Kara, Mehmet; Güzel, M Serdar; Askerzade, İman; Çoğun, Hikmet Y.; Karacagil, ZeynelItem type:Article, Access status: Open Access , Exploring the frontiers of electrochemical $CO_{2}$ conversion: a comprehensive review(2025) Ashraf, Shahid; Gohar, Osama; Khan, Muhammad Zubair; Tariq, Urooj; Ahmad, Jawad; Awan, Ramsha Javed; Zheng, Kun; Ur Rehman, Junaid; Abdul Karim, Muhammad Ramzan; Ishfaq, Hafiz Ahmad; Said, Zafar; Motola, Martin; Han, Ning; Hanif, Muhammad Bilal
Wydział Energetyki i PaliwThe electrochemical conversion of carbon dioxide into valuable products is pivotal for maintaining the global carbon cycle and mitigating global warming. This review explores the advancements in electrochemical $CO_{2}$ conversion, particularly focusing on producing methanol, ethanol, and n-propanol using various catalysts such as metals, metal oxides, metal alloys, and metal organic frameworks. Additionally, it covers the photoelectrochemical (PEC) conversion of $CO_{2}$ into alcohols. The primary objective is to identify efficient electrocatalysts for ethanol, methanol, and n-propanol production, prioritizing selectivity, stability, Faradaic efficiency (FE), and current density. Notable catalysts include PtxZn nanoalloys, which exhibit an FE of ∼81.4 % for methanol production, and trimetallic Pt/Pb/Zn nanoalloys, aimed at reducing Pt costs while enhancing catalyst stability and durability. Metal oxide catalysts like thin film $Cu_{2}O/CuO$ on nickel foam and $Cu_{2}O/ZnO$ achieve FE values of ∼38 % and ∼16.6 % for methanol production, respectively. Copper-based metal-organic frameworks, such as Cu@ $Cu_{2}O$, demonstrate an FE of ∼45 % for methanol production. Similarly, $Ag_{0.14}/Cu_{0.86}$ and Cu–Zn alloys exhibit FEs of ∼63 % and ∼46.6 %, respectively, for ethanol production. Notably, n-propanol production via Pd–Cu alloy and $graphene/ZnO/Cu_{2}O$ yields FEs of ∼13.7 % and ∼23 %, respectively. Furthermore, the review discusses recent advancements in PEC reactor design, photoelectrodes, reaction mechanisms, and catalyst durability. By evaluating the efficiency of these devices in liquid fuel production, the review addresses challenges and prospects in $CO_{2}$ conversion for obtaining various valuable products.Item type:Article, Access status: Open Access , Improving stability and mechanical strength of electrospun chitosan-polycaprolactone scaffolds using genipin cross-linking for biomedical applications(2025) Uma Thanu Krishnan Neela, Nagalekshmi; Szewczyk, Piotr K.; Karbowniczek, Joanna; Polak, Martyna; Knapczyk-Korczak, Joanna; Stachewicz, Urszula
WIMiIPElectrospun nanofiber scaffolds have become vital in biomedical applications due to their high surface area and tunable properties. Chitosan (CS) is widely used, but its rapid degradation limits its effectiveness. This study addresses this limitation by blending CS with polycaprolactone (PCL) and applying genipin cross-linking to enhance its stability and mechanical properties. Scanning electron microscopy indicated a uniform morphology of the electrospun fibers, and further, the crystallinity of the scaffolds before and after cross-linking is verified. Fourier-transform infrared spectroscopy is used to analyze the chemical structure, identifying the presence of trifluoroacetic acid residues in the as-spun fibers. These residues are successfully eliminated through neutralization and cross-linking, which are critical for enhancing stability and cell viability in in-vitro studies. Mechanical testing revealed that cross-linked CS+PCL scaffolds exhibit a 350% increase in tensile strength compared to pure CS, and zeta potential reaches the favorable for cell development -26.27 mV. The cytotoxicity assay results with murine NIH 3T3 fibroblast cells indicate the suitability of CS+PCL scaffolds for targeted tissue engineering and wound healing. This work establishes the potential for fine-tuning scaffold properties to create stable, functional, and biocompatible substrates for extended biomedical use.Item type:Article, Access status: Open Access , Skin regeneration and wound healing by plant protein-based electrospun fiber scaffolds and patches for tissue engineering applications(2025) Marszalik, Katarzyna; Polak, Martyna; Knapczyk-Korczak, Joanna; Berniak, Krzysztof; Nabil Gayed Ibrahim, Monica; Su, Qi; Li, Xiaoran; Ding, Bin; Stachewicz, UrszulaPlant protein-based electrospun fibers are emerging as promising biomaterials for skin regeneration and wound healing due to their unique properties, including biocompatibility, antimicrobial effects, and anti-inflammatory activity. This review examines four widely used plant-derived proteins: zein, soy, wheat gluten, and pea protein, focusing on their role in tissue engineering. For designing advanced biomaterials with tailored properties to accelerate tissue repair, the stages of wound healing are introduced. The electrospinning of plant proteins is described, along with the modifications that enhance key properties such as mechanical strength and stability in wet environments. Their biodegradability makes them ideal for temporary applications, such as wound dressings and drug delivery systems, enabling the controlled and sustained release of antibacterial nanoparticles, antioxidants, and antibiotics. Moreover, the enhancement of skin regeneration by plant protein fibers is highlighted, focusing on their physicochemical properties, drug delivery capabilities, swelling behavior, and moisturizing effects. Furthermore, in vitro studies are discussed, demonstrating their ability to support cell adhesion and proliferation, promote blood vessel formation, and facilitate extracellular matrix (ECM) remodeling, leading to accelerated tissue repair. Finally, in vivo studies are reviewed, highlighting the potential of plant protein fibers for tissue repair applications.
