Repozytorium publikacji - Politechnika Gdańska

Ustawienia strony

english
Repozytorium publikacji
Politechniki Gdańskiej

Pokaż publikacje z roku

Publikacje z roku 2024

Pokaż wszystkie
  • Quality Testing of Welded Joints of Wind Towers with Advanced Ultrasonic Techniques – a Case Study
    • Alicja Bera
    • Zbigniew Górski
    • Ryszard Pyszko
    • Jolanta Sala
    • Arkadiusz Szczurek
    2024 Pełny tekst Technologie Materiałowe i Spawalnicze

    The application of advanced quality control tests for welds is essential for enhancing competitiveness in thewelded construction industry. The global focus on obtaining energy from alternative sources is leading to the increased production of wind towers. Improving the method of conducting inspections is necessary as wind tower structuresare subject to 100% quality control of welded joints. The article presents the comparison of tests involving a modelof an actual wind tower structure and ultrasonic methods, i.e. the conventional UT technique and the advanced andautomated PAUT technique. An important element of the tests was the development of the instrumentation enablingthe more accurate recording of the process.

  • Quantifying inconsistencies in the Hamburg Sign Language Notation System
    • Maria Ferlin
    • Sylwia Majchrowska
    • Marta A. Plantykow
    • Alicja Kwaśniewska
    • Agnieszka Mikołajczyk-Bareła
    • Milena Olech
    • Jakub Nalepa
    2024 EXPERT SYSTEMS WITH APPLICATIONS

    The advent of machine learning (ML) has significantly advanced the recognition and translation of sign languages, bridging communication gaps for hearing-impaired communities. At the heart of these technologies is data labeling, crucial for training ML algorithms on a huge amount of consistently labeled data to achieve models that generalize well. The adoption of language-agnostic annotations is essential to connect different sign languages, as single-language databases often provide limited lexicon examples, insufficient for training robust ML algorithms. This study critically examines the Hamburg Sign Language Notation System (HamNoSys), which describes the signer’s initial position and body movements, in contrary to the meanings of glosses. Despite HamNoSys’s utility in standardizing transcriptions across various sign languages, our investigation uncovers inconsistencies within HamNoSys that may negatively impact the development of accurate and reliable ML models. By analyzing HamNoSys labels across five sign languages, we identified a lack of standardized annotation procedures and the complexities within HamNoSys that introduce biases and errors. Our findings underscore the urgent need for unified, standardized data annotation guidelines to enhance the accuracy and efficiency of sign language recognition technologies. This research highlights the importance of addressing annotation challenges and advocates for a comprehensive, diversified database to improve the generalization of ML models.

  • Quantitative loss analysis of opaque perovskite solar cells using transient and steady-state characterization
    • Katarzyna Cudo
    • Riccardo Ollearo
    • Gerwin H. Gelinck
    • Yulia Galagan
    • Damian Głowienka
    2024 Physical Review Applied

    Perovskite solar cells have emerged as a promising technology in the field of photovoltaics, owing to their notable advancements in power conversion efficiency. Recent investigations have revealed a crucial dependency of efficiency on the source of bromide within the perovskite absorption layer. To elucidate the underlying nature of traps within these solar cells, a comprehensive series of measurements was conducted under varying light intensities. Subsequently, employing an electrodynamic theoretical model, the intrinsic processes inherent to caesium and lead-based perovskite solar cells with different bromide sources were analyzed. The study reveals significant differences in transient photocurrent measurements and photocurrent-voltage characteristics among perovskites originating from different bromide sources, measured under different light intensities. Leveraging theoretical analyses on the picosecond scale, the recombination mechanism of crystal defects was meticulously described revealing the pronounced influence of capture rates on electron-hole recombination dynamics. Furthermore, the investigation substantiated the presence of a band-bending phenomenon at the interface between the hole transport layer (HTL) and perovskite, elucidating the observed transient photocurrent phenomena. The findings significantly advance the understanding of the mechanisms underlying perovskite solar cells, offering valuable insights into their performance and paving the way for enhanced efficiency and stability in future device design and optimization.

  • Quantum strategies for rendezvous and domination tasks on graphs with mobile agents
    • Giuseppe Viola
    • Piotr Mironowicz
    2024 Pełny tekst PHYSICAL REVIEW A

    This paper explores the application of quantum nonlocality, a renowned and unique phenomenon acknowledged as a valuable resource. Focusing on an alternative application, we demonstrate its quantum advantage for mobile agents engaged in specific distributed tasks without communication. The research addresses the significant challenge of rendezvous on graphs and introduces a distributed task for mobile agents grounded in the graph domination problem. Through an investigation across various graph scenarios, we showcase the quantum advantage. Additionally, we scrutinize deterministic strategies, highlighting their comparatively lower efficiency compared to quantum strategies. The paper concludes with a numerical analysis, providing further insights into our findings.

  • Quantum-assisted rendezvous on graphs: explicit algorithms and quantum computer simulations
    • Joshua Tucker
    • Paul Strange
    • Piotr Mironowicz
    • Jorge Quintanilla
    2024 NEW JOURNAL OF PHYSICS

    We study quantum advantage in one-step rendezvous games on simple graphs analytically, numerically, and using noisy intermediate-scale quantum (NISQ) processors. Our protocols realise the recently discovered (Mironowicz 2023 New J. Phys. 25 013023) optimal bounds for small cycle graphs and cubic graphs. In the case of cycle graphs, we generalise the protocols to arbitrary graph size. The NISQ processor experiments realise the expected quantum advantage with high accuracy for rendezvous on the complete graph K3. In contrast, for the graph , formed by two disconnected 4-vertex complete graphs, the performance of the NISQ hardware is sub-classical, consistent with the deeper circuit and known qubit decoherence and gate error rates.

  • Quasi-one-dimensional exchange interactions and short-range magnetic correlations in CuTeO4
    • Zubia Hasan
    • Eli Zoghlin
    • Michał Winiarski
    • Kathryn E. Arpino
    • Thomas Halloran
    • Thao Tran
    • Tyrel McQueen
    2024 PHYSICAL REVIEW B

    CuTeO4 has been proposed as a crystallographically distinct, yet electronic structure analog, of the superconducting cuprates. Here, we present a detailed characterization of the physical properties of CuTeO4 to address this proposal. Fitting of magnetic susceptibility data indicates unexpected quasi-one-dimensional, antiferromagnetic correlations at high temperature, with a nearest-neighbor Heisenberg exchange of 1=164⁢(5) K. Low-temperature heat capacity measurements reveal a sizable -linear contribution of =9.58⁢(8) mJ mol−1K−2, qualitatively consistent with expectations for a =1/2, uniform, Heisenberg spin chain. Below ≈40 K, the susceptibility shows an upturn inconsistent with quasi-one-dimensional behavior. While heat capacity measurements show no signs of magnetic order down to low-temperature, the upturn in the magnetic susceptibility coincides with the emergence of a diffuse peak (centered at | ⃗ ⁢|≈0.7 Å) in the neutron diffraction data, indicative of persistent, short-range, antiferromagnetic order with a correlation length of =10.1⁢(9) Å at =10 K. The onset of nonlinearity and hysteresis in the isothermal magnetization curves suggests the presence of a small ferromagnetic component. This persistent, short-range order is understood in the context of structural modeling of the x-ray and neutron diffraction data that show the presence of a significant density of stacking faults. No evidence for substantive dopability is observed and CuTeO4 appears, qualitatively, to have a larger band gap than predicted by density functional theory. We ascribe this finding to the inductive withdrawal effect from high-valence Te and suggest that superconductivity in copper tellurates is more likely to be found in compounds with a decreased reductive withdrawal effect from Te.

  • Question Answering System to Answer Questions About Technical Documentation
    • Szymon Olewniczak
    • Michał Maciszka
    • Kamil Paluszewski
    • Grzegorz Pozorski
    • Wojciech Rosenthal
    • Łukasz Zaleski
    2024

    This article ventures into the realm of specialized AI systems for question answering, with a specific focus on programming languages, using Rust as the case study. Our research harnesses the capabilities of BERT, a leading model in natural language processing, to explore its effectiveness in interpreting and responding to complex, domain-specific queries. We have developed a novel dataset, derived from Rust's detailed documentation, which surpasses the usual input size for language models. This dataset serves as a foundation for evaluating BERT's performance in a domain-specific context, providing a new resource for testing question-answering systems and shedding light on their strengths and limitations in processing specialized technical information. In this paper, we proposed a solution based on retrieval-reader architecture, the fine-tuned RoBERTa model with the usage of the mentioned dataset, and conducted typical tests for said problem. It is shown, that domain-specific question-answering remains a challenging problem.

  • Quinoline-based thiazolyl-hydrazones target cancer cells through autophagy inhibition
    • Vladimir Ćurčić
    • Mateusz Olszewski
    • Natalia Maciejewska
    • Aleksandar Višnjevac
    • Tatjana Srdić-rajić
    • Vladimir Dobričić
    • Alfonso T García-sosa
    • Sanja B Kokanov
    • Jovana B. Araškov
    • Romano Silvestri
    • Roland Schüle
    • Manfred Jung
    • Milan Nikolić
    • Nenad R. Filipovići
    2024 ARCHIV DER PHARMAZIE

    Heterocyclic pharmacophores such as thiazole and quinoline rings have a significant role in medicinal chemistry. They are considered privileged structures since they constitute several Food and Drug Administration (FDA)-approved drugs for cancer treatment. Herein, we report the synthesis, in silico evaluation of the ADMET profiles, and in vitro investigation of the anticancer activity of a series of novel thiazolyl-hydrazones based on the 8-quinoline (1a-c), 2-quinoline (2a-c), and 8-hydroxy-2-quinolyl moiety (3a-c). The panel of several human cancer cell lines and the nontumorigenic human embryonic kidney cell line HEK-293 were used to evaluate the compound-mediated in vitro anticancer activities, leading to [2-(2-(quinolyl-8-ol-2-ylmethylene)hydrazinyl)]-4-(4-methoxyphenyl)-1,3-thiazole (3c) as the most promising compound. The study revealed that 3c blocks the cell-cycle progression of a human colon cancer cell line (HCT-116) in the S phase and induces DNA double-strand breaks. Also, our findings demonstrate that 3c accumulates in lysosomes, ultimately leading to the cell death of the hepatocellular carcinoma cell line (Hep-G2) and HCT-116 cells, by the mechanism of autophagy inhibition.

  • Raman Scattering versus Strain Engineering in Phosphorene Nanostructures: An Ab Initio Studies
    • Krzysztof Pyrchla
    2024 Pełny tekst

    The one-dimensional nanoribbons made from phosphorene are novel structures with great applicability potential in material science. The significant carrier mobility combined with intrinsic semiconductor properties makes them ideal for application in electronics, and they are excellent candidates for sensing material. The lack of a well–established multiscale modelling strategy for phosphorene nano optoelectronic devices is one of the issues slowing down research on its applications. This thesis is focused on the preparation of the hybrid workflow for complex modelling of the phosphorene nanoribbons and use it for studying the potential of applying phosphorene nanostructures as a mechanical nanooscillator. In the proposed design, the oscillating behaviour of phosphorene device can be traced by the changes in the Raman bands of this structures. To efficiently predict the magnitude of such change, the multi-stage, hybrid calculation workflow was constructed. The ab initio modelling was utilised to study the mechanical elasticity of the phosphorene nanoribbons with different widths and doping levels. The effect of surface oxidation and interaction with air humidity was also studied using ab initio molecular dynamics. The Raman bands shifts dependence on the strain, and the level of surface oxidation was also calculated using the ab initio method in frozen phonon approximation. The properties calculated for atomic models of nanoribbons were used to model the dynamical behaviour of the phosphorene nanoribbons. The phosphorene nanoribbons aspect ratios are very high, and because of that, the atomic models used in ab initio modelling were a few orders of magnitude smaller than the size of the ribbons. To extrapolate the properties of these models into microscopic structures, the finite element method (FEM) was implemented, and the atomic models of the ribbons were designed to be infinitesimal elements of the structures. Because of this synergic application of both quantum and classical modelling, this approach is called hybrid. The results achieved for the structures using the hybrid approach were compared with the force field calculations, presenting consistency between methods and significantly lower computational cost of hybrid modelling in comparison to whole structure force field modelling.

  • Rapid Surrogate-Aided Multi-Criterial Optimization of Compact Microwave Passives Employing Machine Learning and ANNs
    • Sławomir Kozieł
    • Anna Pietrenko-Dąbrowska
    2024 IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

    This article introduces an innovative method for achieving low-cost and reliable multi-objective optimization (MO) of microwave passive circuits. The technique capitalizes on the attributes of surrogate models, specifically artificial neural networks (ANNs), and multi-resolution electromagnetic (EM) analysis. We integrate the search process into a machine learning (ML) framework, where each iteration produces multiple infill points selected from the present representation of the Pareto set. This collection is formed by optimizing the ANN metamodel by means of a multi-objective evolutionary algorithm. The procedure concludes upon convergence, defined as a significant similarity between the sets of non-dominated solutions acquired through consecutive iterations. Performing the majority of iterations at the low-fidelity EM simulation level enables additional computational savings. Our methodology has been showcased using two microstrip circuits. Comparative assessments against various surrogate-assisted benchmark methods demonstrate the algorithm's competitive performance in terms of computational efficiency and the quality of the Pareto set generated in the course of the optimization run.

  • Rational designing of TiO2-X@Cs3Bi2X9 nanocomposite for boosted hydrogen evolution
    • Anna Pancielejko
    • Magdalena Miodyńska
    • Hanna Głowienke
    • Anna Gołąbiewska
    • Emilia Gontarek-Castro
    • Tomasz Klimczuk
    • Mirosław Krawczyk
    • Grzegorz Trykowski
    • Adriana Zaleska-Medynska
    2024 Pełny tekst CATALYSIS TODAY

    Halide perovskites are known as compounds possessing interesting properties, including visible light-induced photoactivity, however, they suffer from instability. Herein, a novel technique for reducing the decomposition rate of halide bismuth-based perovskites Cs3Bi2X9 (X=I, Br, Cl) in the aqueous environment by combining with different types of TiO2 (anatase TiO2-I, anatase/rutile TiO2-B, and rutile TiO2-C synthesized using HI, HBr, and HCl acids, respectively) has been described. The specific type of HX has a notable impact on the crystallinity, morphology, and photocatalytic abilities of TiO2-X and they constitute a reaction environment that allows perovskites to survive the synthesis of TiO2. Studies reveal that TiO2-I is the optimal support material for immobilizing perovskite nanoparticles, owing to its extensive surface area and the synergistic effect it has with Cs3Bi2I9. Adding a small amount of Cs3Bi2I9 to iodine-doped TiO2-I improved the photocatalytic performance in the aqueous environment. As a result, 24.3, 22.5, 22.0, and 13.5-fold improvement in H2 production has been realized with decreasing amounts of Cs3Bi2I9 perovskite (10, 50, 100, and 300 mg). Upon detailed characterization and analysis of photocatalytic properties, it has been suggested that when Cs3Bi2I9 nanoparticles are dispersed within the TiO2-I structure, they can establish a close connection which allows the photogenerated electrons of TiO2-I to be extracted to Cs3Bi2I9, effectively preventing the charge recombination. This study provides a feasible possibility for the photocatalytic application of perovskite-based nanocomposites in the aqueous environment.

  • Reaktory jądrowe
    • Tomasz Minkiewicz
    2024

    W rozdziale omówiono budowę i zastosowanie energetycznych oraz badawczych reaktorów jądrowych.

  • REALIZACJA PRÓBNIKA SYSTEMU REJESTROWANIA I MONITOROWANIA PARAMETRÓW JAKOŚCIOWYCH STOSUJĄCEGO STANDARD IPFIX
    • Sylwester Kaczmarek
    • Krzysztof Zalewski
    2024 Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

    Nadzór parametrów jakościowych w sieci z protokołem IP jest jedną z ważniejszych funkcji jaką musi dysponować Operator sieci telekomunikacyjnej. W pracy przedstawiono koncepcję systemu rejestracji i monitorowania przeznaczonego do realizacji tego celu. Jest to rozwiązanie pasywne stosujące rozszerzenie standardu IPFIX, które określono mianem SIPFIX. Opisano praktyczną realizację i wyniki testów Próbnika, jednego z podstawowych elementów składowych tego systemu. Wyniki potwierdziły możliwość realizacji zaproponowanego systemu.

  • Realizacja założeń otwartego dostępu w polskich czasopismach z zakresu bibliologii i informacji naukowej – analiza za lata 2019-2022
    • Joanna Błasiok
    • Kamila Kokot-Kanikuła
    2024 Przegląd Biblioteczny

    Artykuł przedstawia wyniki czterech analiz, przeprowadzonych w latach 2019-2022, dotyczących polityk wydawniczych i praktyk redakcyjnych polskich czasopism z zakresu bibliologii i informacji naukowej. Szukano odpowiedzi na pytania: czy ich redaktorzy rozumieją zasady Open Access? Czy wykorzystują je do ustalania własnych polityk wydawniczych? Do analizy wybrano 46 czasopism naukowych spośród 90 tytułów reprezentujących nauki bibliologiczne w bazie Arianta. Głównym źródłem informacji były strony WWW czasopism bądź wydawnictw naukowych oraz bezpośredni kontakt telefoniczny bądź mailowy z redakcjami czasopism. Badanie wykazało, że działania na rzecz otwartej komunikacji naukowej są szeroko wdrażane przez analizowane czasopisma – w 2022 r. aż 96% tytułów zapewniało otwarty dostęp do treści. Pomiędzy pierwszym a ostatnim badaniem, zaobserwowano zwiększenie liczby czasopism korzystających z licencji Creative Commons oraz poprawę infrastruktury.

  • Real-Time Sensor-Based Human Activity Recognition for eFitness and eHealth Platforms
    • Łukasz Czekaj
    • Mateusz Kowalewski
    • Jakub Domaszewicz
    • Robert Kitłowski
    • Mariusz Szwoch
    • Włodzisław Duch
    2024 SENSORS

    Human Activity Recognition (HAR) plays an important role in the automation of various tasks related to activity tracking in such areas as healthcare and eldercare (telerehabilitation, telemonitoring), security, ergonomics, entertainment (fitness, sports promotion, human–computer interaction, video games), and intelligent environments. This paper tackles the problem of real-time recognition and repetition counting of 12 types of exercises performed during athletic workouts. Our approach is based on the deep neural network model fed by the signal from a 9-axis motion sensor (IMU) placed on the chest. The model can be run on mobile platforms (iOS, Android). We discuss design requirements for the system and their impact on data collection protocols. We present architecture based on an encoder pretrained with contrastive learning. Compared to end-to-end training, the presented approach significantly improves the developed model’s quality in terms of accuracy (F1 score, MAPE) and robustness (false-positive rate) during background activity. We make the AIDLAB-HAR dataset publicly available to encourage further research.

  • Real-Time Skin Quality Assessment System
    • Tomasz Kocejko
    • Aleksandra Krajna
    2024

    This thesis presents a real-time skin assessment system with the main aim of detecting inflammatory acne lesions and tracking skin conditions. A facial acne lesion detection algorithm was developed, using a pre-trained YOLOv8 model for lesion detection and a Mediapipe detector for face detection. The proposed solution aims to create a system used in smart mirrors to help users self-monitor and monitor their skin condition in real time without much involvement. The work shows that it is possible to effectively detect skin changes even in a motion situation, which could be a good direction for the development of solutions based on video analytics.

  • Rebuilding Bailey Bridge to Bridge With Bascule Span – A Case Study
    • Andrzej Ambroziak
    • Maciej Malinowski
    • Mirosław Wałęga
    2024 Pełny tekst Baltic Journal of Road and Bridge Engineering

    The structural analysis of a road foldable prefabricated steel Bailey- type bridge located over the Tuga River in Żelichowo, Poland is performed in this paper. Interesting and untypical bridge redevelopment performed made it possible to lift the middle foldable bridge span by approximately 4.0 m concerning the existing state. The paper begins with a survey of literature carried out on the investigations of foldable Bailey-type bridge subject matter. A description of the numerical modelling of foldable prefabricated bridges is performed. The comparison of the proof load test results with the FEM numerical model results has shown very good compatibility. This paper can provide scientists, engineers, and designers the basis for structural analysis in the field of foldable Bailey-type bridge constructions and numerical simulations.

  • Recent advances in hydrogen production from biomass waste with a focus on pyrolysis and gasification
    • Van Giao Nguyen
    • Thanh Xuan Nguyen-Thi
    • Phuoc Quy Phong Nguyen
    • Viet Dung Tran
    • Ümit Ağbulut
    • Lan Huong Nguyen
    • Dhinesh Balasubramanian
    • Wiesław Tarełko
    • Suhaib A. Bandh
    • Nguyen Dang Khoa Pham
    2024 INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

    This paper presents the results research on the optimal fuel compositions and the control parameters of the spark ignition engine fueled with syngas-biogas-hydrogen for the purpose of setting up a flexible electronic control unit for the engine working in a solar-biomass hybrid renewable energy system. In syngas-biogas-hydrogen mixture, the optimal content of hydrogen and biogas is 20% and 30%, respectively. Exceeding these thresholds, the improvement of engine performance is moderate, but the pollution emission increases strongly. The optimal advanced ignition angle is 38CA, 24CA, and 18CA for syngas, biogas, and hydrogen, respectively. With the same content of hydrogen or biogas in the mixture with syngas, the advanced ignition angle of the hydrogen-syngas blend is less than that of the syngas-biogas blend by about 4CA at the engine speed of 3000 rpm. The derating power of the engine is 30% and 23% as switching from the hydrogen and biogas fueling mode to the syngas fueling mode, respectively. However, NOx emission of the engine increase from 200 ppm (for syngas) to 2800 ppm (for biogas) and to over 6000 ppm (for hydrogen). The optimal advanced ignition angle, the optimal equivalence ratio of the syngas-biogas-hydrogen fuel mixture vary within the limits of the respective values for syngas and hydrogen. To improve the engine efficiency and reduce pollutant emissions, the loading control system of the engine should prioritize the adjustment of the fuel flow and then the adjustment of the air-fuel mixture flow.

  • Recent Advances in Polymer Nanocomposites: Unveiling the Frontier of Shape Memory and Self-Healing Properties—A Comprehensive Review
    • Huma Jamil
    • Muhammad Faizan
    • Muhammad Adeel Ahmad
    • Teofil Jesionowski
    • Grzegorz Boczkaj
    • Aldona Balčiūnaitė
    2024 Pełny tekst MOLECULES

    Shape memory and self-healing polymer nanocomposites have attracted considerable attention due to their modifiable properties and promising applications. The incorporation of nanomaterials (polypyrrole, carboxyl methyl cellulose, carbon nanotubes, titania nanotubes, graphene, graphene oxide, mesoporous silica) into these polymers has significantly enhanced their performance, opening up new avenues for diverse applications. The self-healing capability in polymer nanocomposites depends on several factors, including heat, quadruple hydrogen bonding, π–π stacking, Diels–Alder reactions, and metal–ligand coordination, which collectively govern the interactions within the composite materials. Among possible interactions, only quadruple hydrogen bonding between composite constituents has been shown to be effective in facilitating self-healing at approximately room temperature. Conversely, thermo-responsive self-healing and shape memory polymer nanocomposites require elevated temperatures to initiate the healing and recovery processes. Thermo-responsive (TRSMPs), light-actuated, magnetically actuated, and Electrically actuated Shape Memory Polymer Nanocomposite are discussed. This paper provides a comprehensive overview of the different types of interactions involved in SMP and SHP nanocomposites and examines their behavior at both room temperature and elevated temperature conditions, along with their biomedical applications. Among many applications of SMPs, special attention has been given to biomedical (drug delivery, orthodontics, tissue engineering, orthopedics, endovascular surgery), aerospace (hinges, space deployable structures, morphing aircrafts), textile (breathable fabrics, reinforced fabrics, self-healing electromagnetic interference shielding fabrics), sensor, electrical (triboelectric nanogenerators, information energy storage devices), electronic, paint and self-healing coating, and construction material (polymer cement composites) applications.

  • Recent advances in reinforced bioplastics for food packaging – A critical review
    • Shahida Anusha Siddiqui
    • Xi Yang
    • Ram Kumar Deshmukh
    • Kirtiraj K. Gaikwad
    • Nur Alim Bahmid
    • Roberto Castro Munoz
    2024 Pełny tekst INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES

    Recently, diversifying the material, method, and application in food packaging has been massively developed to find more environment-friendly materials. However, the mechanical and barrier properties of the bioplastics are major hurdles to expansion in commercial realization. The compositional variation with the inclusion of different fillers could resolve the lacking performance of the bioplastic. This review summarizes the various reinforcement fillers and their effect on bioplastic development. In this review, we first discussed the status of bioplastics and their definition, advantages, and limitations regarding their performance in the food packaging application. Further, the overview of different fillers and development methods has been discussed thoroughly. The application of reinforced bioplastic for food packaging and its effect on food quality and shelf life are highlighted. The environmental issues, health concerns, and future perspectives of the reinforced bioplastic are also discussed at the end of the manuscript. Adding different fillers into the bioplastic improves physical, mechanical, barrier, and active properties, which render the required protective functions to replace conventional plastic for food packaging applications. Various fillers, such as natural and chemically synthesized, could be incorporated into the bioplastic, and their overall properties improve significantly for the food packaging application.