Manufacturing Procedure Research Articles

Sustainable Fabric Manufacturing: The Crochet Experience

When it comes to the sustainability of fabrics, the materials used in textile production are frequently given more consideration than the manufacturing procedures. But a fabric's sustainability is also determined by its production techniques. One of the sectors of the global economy that has been shown to have the greatest environmental damage is the textile manufacturing sector. As a result, fabrics produced using techniques that leaves little or no negative impacts to the environment are said to be sustainable or eco-friendly. The study’s aim is to promote environmental friendly method of fabric production through the crochet technique and to encourage its exploration in Nigeria. The aim was accomplished by focusing on crochet technique as a sustainable fabric manufacturing technique. The study highlighted ways crochet techniques agrees with sustainability as against the conventional methods of manufacturing fabric. Samples of successful sustainable fabric and other materials produced using the crochet technique were showcased. The economic feasibility and market potentials of sustainable crocheted fabrics were also examined. The study adopted mixture of exploratory and descriptive research methods. In conclusion the study advocated for the acquiring of crochet skill by local textile manufacturers as a way to minimize the negative impact of the production processes of conventional fabric on the environment and also a means of creating jobs for the unemployed youths in Nigeria.

Clinical-scale, modular manufacturing of tumor-reactive TILs using a closed and automated culture system

Recent studies have revealed the potential of tumor-infiltrating lymphocytes (TILs) to treat solid tumors effectively and safely. However, the translation of TIL therapy for patients is still hampered by non-standardized and laborious manufacturing procedures that are expensive and produce highly variable cellular products. To address these limitations, the CliniMACS Prodigy® Tumor Reactive T cell (TRT) Process has been developed. The TRT Process allows the automated isolation, transduction, and expansion of tumor-reactive T cells in a clinically compliant and closed system under GMP conditions. The TRT Process can generate tumor-reactive T cells using several methodologies which reflect clinically relevant applications. It can manage an automated Rapid Expansion Protocol (REP) using GMP-compliant reagents to generate a TIL cell product from solid tumors, including melanoma. Additionally, the TRT Process automates the closed selection of CD137-expressing TILs directly from tumor digest followed by the direct expansion of selected cells. Enriched CD137+ TILs could be robustly expanded even when as few as 1x104 TILs were used to seed the REP phase. These data provide proof-of-concept for the isolation and expansion of tumor-reactive T cells from tumor digest in a closed, automated manner in the CliniMACS Prodigy, allowing for an efficient, simple, and reproducible manufacturing of TIL products. The direct selection of CD137+ TILs from tumor digest removes the need for the pre-REP phase, selects for therapeutically relevant cells, and can dramatically shorten the manufacturing time compared to conventional methods.

Analisis SWOT Produk Aroma Care untuk Menentukan Strategi Bersaing pada PT Aroma Wangi Indonesia

The purpose of this research is to examine PT. Aroma Wangi Indonesia's Aroma Care product using a SWOT analysis in order to identify competing tactics. Information was gathered from primary sources, such as interviews with business owners and workers, and secondary sources, such as marketing and operational strategy documents, using descriptive and qualitative methodologies. The research shows that the company's strengths include its marketing efforts, new goods made from natural components, and efficient manufacturing procedures. Threatening obstacles include, but are not limited to, severe industry rivalry and uncertain economic circumstances. The firm may take advantage of opportunities to grow, such creating new technology and entering the Bandung city market. In order to stay competitive, this research suggests a number of strategic moves, such as expanding manufacturing capabilities, diversifying raw material sources, and putting more effort into product innovation. Better methods to assist the long-term success of PT. Aroma Wangi Indonesia may be developed with the use of this study's results. Strengthening its market position and achieving sustainable development may be achieved by adopting strategic initiatives like extending product marketing, producing novel goods, and capturing possibilities like new technologies and market expansion in prospective regions of Bandung city.

The Development of Processing Methods and Materials Used for Non-Pneumatic Tires: A Review.

Non-pneumatic tires (NPTs) have garnered significant attention due to their advantages, such as energy efficiency, safety, versatile applications, and superior performance, compared to traditional rubber-based pneumatic tires (PTs). This mini review provides a concise overview of NPTs, beginning with their definition, structural design, and classification based on structural variations. The review then examines recent advancements in the materials used for NPTs, including those for the tread, elastic support structure, skeleton, and adhesives, with a focus on their specific properties. Furthermore, it summarizes various manufacturing techniques such as compression molding, centrifugal casting, injection molding, 3D printing, and mechanical assembly. Lastly, the review outlines the general manufacturing procedures of NPTs, discusses the challenges currently faced by the technology, and offers insights into future development directions. This mini review aims to support NPT researchers and practitioners, particularly in the fields of process and materials engineering, in advancing their work on NPTs.

Optimized YOLOv8 based on SGW for surface defect detection of silicon wafer

Abstract Wafer detection is a critical procedure in IC manufacturing. Deep learning models are extensively used to identify the wafer defects. The key issue is how to recognize the small defects in complex backgrounds reducing the probability of misjudge and enhancing the detection accuracy. To solve the problems, we proposed a new detection model, SGW-YOLOv8 (SimAM-GhostConv-Wise IOU), based on the YOLOv8 model. The SimAM attention mechanism was added to enhance the network's focus on important positions without increase of the parameter numbers. The GhostConv improved the backbone network, and the Wise-IOU (Weighted Intersection over Union) loss function was introduced to address the deviation of evaluation results caused by the traditional loss function. Moreover, an additional detection head was appended to YOLOv8 to improve the model's capability of recognizing small targets. The dataset containing six types of defects was established by generating 6000 images of silicon wafers. The experimental results demonstrated that the mAP@0.5 of SGW-YOLOv8 increased by 4.8% compared to YOLOv8, and the model parameters are decreased by 11.8%. Therefore, the proposed SGW-YOLOv8 model is potential for wafer detection in IC industry.

Application of Polydopamine-Based Magnetic Solid-Phase Extraction for Highly Sensitive Determination of Aristolochic Acid I from Traditional Chinese Medicine Samples.

A low cost-effective and simple synthesis method combining magnetic solid-phase extraction (MSPE) and high-pressure liquid chromatography was developed for the analysis of aristolochic acids I (AAI) in traditional Chinese medicine samples. A novel polydopamine (PDA) modified magnetic nanoparticles with one single carbon layer (Fe3O4@1C NPs) via one-pot hydrothermal approach was prepared and then successfully employed to extract AAI for the first time. Dopamine (DA) can form a PDA layer on Fe3O4@1C NPs surface through self-polymerization to form Fe3O4@1C@PDA. As a surface modifier of DA, PDA offered more adsorption sites to AAI due to π-π stacking, hydrogen bonding and electrostatic interactions. The parameters of MSPE were optimized by univariate and multivariate methods (Box-Behnken design) in detail. High degree of linearity was obtained in the range of 0.05-200.0μg/mL. The limits of detection (S/N = 3) and quantification (S/N = 10) were 0.08 and 0.25μg/mL, respectively. The recoveries of AAI in spiked Xiaoqinglong mixture samples were in the range of 86.7 to 108.5% with the relative standard deviation of less than 5.2%. Thus, a fast, convenient, sensitive and eco-friendly method was successfully proposed and became a promising approach for the determination of AAI in herbal plants or its preparation in the manufacturing procedure.

A Review on Development Prospect of CMTS Based Thin Film Solar Cells

CMTS is a quaternary semiconductor similar to copper zinc tin sulfide (CZTS) which is nontoxicand abundant on Earth and is a P-type light absorbent material which is suitable for thinfilmsolar cell fabrication and achieves better conversion efficiency of 0.78% , as well as havinga direct energy gap estimated at (1.76 eV) and a high optical absorption coefficient [20] (α≥ 104cm-1). In this paper, the development cases of a Cu2MgSnS4 composite in the thin-film industry,as well as its use in solar cell applications, are summarized. Illustrated and explained thedifficulty related to processing the raw material, the manufacturing procedure, andmanufacturing equipment. Finally, the potential for development of Cu2MgSnS4. Where thefocus was on thin films.

A revolutionary approach to automate labelling of CAD files

Abstract This innovation represents a significant advancement in enhancing processing efficiency when dealing with engineering drawings. Traditionally, the review of customer drawings needs to be executed by experienced experts before manufacture. The identification and labelling of key features were reliant on human intervention for subsequent Design for Manufacturability (DFM) or G-code programming. However, the previous method not only consumed valuable time but also introduced the potential for human errors. In this context, we introduce a high-efficiency technology for recognizing engineering drawings, automatically labelling key features, and converting unstructured data into structured data. It is noteworthy that this technology distinguishes itself from traditional methods, such as R-CNN or similar neural network approaches and differs from pre-labeled engineering drawings reliant on experts manually inputting keywords for dimensions or layers. This work is a vital step towards the realization of intelligent manufacturing. For instance, our customers can now review engineering drawings online and receive immediate feedback. This online interaction is facilitated by processing structured data, a direct output of this presented technology, with other specific modules. Furthermore, the structured data seamlessly integrates into subsequent manufacturing procedures, including notifying the supply chain, generating 3D drawings, and CNC programming. In conclusion, this technology showcases its significance in advancing our vision of intelligent manufacturing at ZY Corp.

Environmental behaviour of synthetic and natural fibre reinforced composites: A review

There has been an increasing interest in natural fibre-reinforced composites as viable alternatives to typical synthetic fibre composites as a result of increased environmental consciousness, which has led to the quest for materials that are more sustainable. This review paper aims to provide a comprehensive evaluation of the environmental performance of both natural and synthetic fibre-reinforced composites by summarizing relevant information. The article begins by discussing the advantages of natural fibres. These advantages include the fact that natural fibres are eco-friendly, Natural fibre composites demonstrate a significantly reduced carbon footprint and energy usage over their entire life cycle when compared to their glass fibre-reinforced counterparts. Furthermore, the biodegradability of natural fibres provides the opportunity for end-of-life recycling or disposal options that are more ecologically benign than those for synthetic fibre composites. This is because natural fibres are biodegradable and the research acknowledges that various factors, such as the specific fibre and matrix used, and the manufacturing procedures employed, can influence the environmental performance of natural fibre composites. Additionally, further research and development to optimize their performance and ensure their widespread adoption as sustainable alternatives to traditional composite materials. Natural fibre-reinforced composites are more environmentally friendly than traditional composite materials.

Continuous fabrication of triboelectric/piezoelectric hybrid yarns with high output for self-powered wearable sensors

Yarn-based nanogenerators exhibit potential for use in self-powered wearable sensors. However, their current limitations include intricate manufacturing procedures, low electrical output performance, and a restricted level of reliability. Here, we present a continuous fabrication approach for fabricating triboelectric/piezoelectric hybrid nanogenerators utilizing yarns with integrated exceptional performance. The continuous production process exhibits the attributes of one-step forming, wherein piezoelectric nanofibers and triboelectric silicone rubber covering are simultaneously and effectively attached to a single yarn to create yarn-based hybrid nanogenerators. The hybrid yarn demonstrates exceptional electrical output performance by harnessing the advantages of both piezoelectric and triboelectric effects, resulting in a power density of 26.72 μW/m2 at 17 MΩ. Demonstrating high sensitivity, stability, and mechanical resilience, yarn-based hybrid nanogenerators are suitable for self-powered wearable sensors, enabling applications in Morse code recognition and gait detection. This innovation in yarn-based nanogenerators broadens their scope, heralding new possibilities in the energy-harvesting device and wearable technology.

3D Printing as a Strategy to Scale-Up Biohybrid Hydrogels for T Cell Manufacture.

The emergence of cellular immunotherapy treatments is introducing more efficient strategies to combat cancer as well as autoimmune and infectious diseases. However, the cellular manufacturing procedures associated with these therapies remain costly and time-consuming, thus limiting their applicability. Recently, lymph-node-inspired PEG-heparin hydrogels have been demonstrated to improve primary human T cell culture at the laboratory scale. To go one step further in their clinical applicability, we assessed their scalability, which was successfully achieved by 3D printing. Thus, we were able to improve primary human T cell infiltration in the biohybrid PEG-heparin hydrogels, as well as increase nutrient, waste, and gas transport, resulting in higher primary human T cell proliferation rates while maintaining the phenotype. Thus, we moved one step further toward meeting the requirements needed to improve the manufacture of the cellular products used in cellular immunotherapies.

Performance Characterization of the Field Aged Asphalt Pavement Materials at Mortar Scale: Testing Method Optimization and Rheology Analysis

Performance evaluation at the asphalt mortar scale offers increased sensitivity to aging and is less affected by extraction processes comparated to asphalt mixture. Despite these benefits, there is currently a lack of standardized methods for directly processing mortar samples obtained from field mixtures. This study aims to improve and validate a manufacturing procedure for aged mortar specimens derived from field aging cores, and to evaluate the field damage level of asphalt paving materials at the mortar scale. A novel approach was developed that incorporates warm sieving, compaction, coring, and cutting to manufacture mortar specimens suitable for Dynamic Shear Rheometer (DSR) tests. This study selected mortar specimens with different service ages and conducted rheological tests, including frequency sweep tests and modified Multiple Stress Creep Recovery (MSCR) tests, to assess their rheological performance. And the significance test of all the indcies were conducted to select suitable indcies.The results show the proposed aged mortar manufacture approach can prepare eligible mortar specimens for rheology tests. The rheology test results show that several indices can distinguish different mortar types and service ages, and the indices of surface layer mortar follow a linear relationship with service age. The linear viscoelastic zone (LVE), representative shear modulus (G0), and unrecovered creep compliance at 1.6kPa (Jnr1.6) and 3.2kPa (Jnr3.2) are identified as effective indices for evaluating the behavior of field aged mortar because of their effectiveness, lower variability, and better distinction.

The Spread of Mycobacterium chimaera from Heater-Cooler Units and Infection Risk in Heart Surgery: Lessons from the Global Outbreak?

Mycobacterium chimaera (MC), a member of the Mycobacterium avium complex, can cause infections in patients after open-heart surgery due to contaminated heater-cooler units (HCUs). The transmission route of HCU-related MC infection is non-inhalational, and infection can occur in patients without previously known immune deficiency. Patients may develop endocarditis of the prosthetic valve, infection of the vascular graft, and/or manifestations of disseminated mycobacterial infection (splenomegaly, arthritis, hepatitis, nephritis, myocarditis, etc.). MC infections have serious outcomes (30-50% recurrence rate, 20-67% mortality rate). In 2015, an international outbreak of M. chimaera infections among patients undergoing cardiothoracic surgeries was associated with exposure to contaminated LivaNova 3T HCUs (formerly Stöckert 3T heater-cooler system, London, United Kingdom). In response to the global outbreak, many international agencies have issued directives and recommendations in order to reduce the risk of MC infection in cardiac surgery. Whole-genome sequencing (WGS) technology can be used to describe the global spread and dynamics of MC infections, to characterize local outbreaks, and also to identify sources of infection in hospital settings. In order to minimize the risk of contamination of HCUs and reduce the risk of patient infection, it is imperative that healthcare facilities establish a program of regular cleaning and disinfection maintenance procedures as well as monitoring of the water used and the air in the operating room, in accordance with the manufacturer's procedure.

Human neural stem cell-derived artificial organelles to improve oxidative phosphorylation

Oxidative phosphorylation (OXPHOS) in the mitochondrial inner membrane is a therapeutic target in many diseases. Neural stem cells (NSCs) show progress in improving mitochondrial dysfunction in the central nervous system (CNS). However, translating neural stem cell-based therapies to the clinic is challenged by uncontrollable biological variability or heterogeneity, hindering uniform clinical safety and efficacy evaluations. We propose a systematic top-down design based on membrane self-assembly to develop neural stem cell-derived oxidative phosphorylating artificial organelles (SAOs) for targeting the central nervous system as an alternative to NSCs. We construct human conditionally immortal clone neural stem cells (iNSCs) as parent cells and use a streamlined closed operation system to prepare neural stem cell-derived highly homogenous oxidative phosphorylating artificial organelles. These artificial organelles act as biomimetic organelles to mimic respiration chain function and perform oxidative phosphorylation, thus improving ATP synthesis deficiency and rectifying excessive mitochondrial reactive oxygen species production. Conclusively, we provide a framework for a generalizable manufacturing procedure that opens promising prospects for disease treatment.

AI-Powered Innovations in Contemporary Manufacturing Procedures: An Extensive Analysis

The industrial sector is undergoing a transformation thanks to artificial intelligence (AI), which is bringing revolutionary changes to a number of areas like robots and automation, supply chain efficiency, predictive maintenance, and quality control and assurance. This thorough analysis investigates AI's significant influence on contemporary manufacturing procedures. Artificial Intelligence (AI) improves machine capabilities in robotics and automation, creating more intelligent and flexible systems. Robots can now complete complicated tasks with more flexibility and precision thanks to AI-driven developments, which boosts manufacturing efficiency and human-robot cooperation. Another crucial area where AI has a big impact is predictive maintenance. With the use of machine learning algorithms and real-time data analysis, artificial intelligence (AI) helps manufacturers anticipate equipment faults before they happen. By taking a proactive stance, unplanned downtime is decreased, resource usage is optimized, and machinery longevity is increased. AI has a significant positive impact on quality assurance and control because to cutting-edge technologies like data analytics and computer vision. Artificial intelligence (AI) solutions facilitate predictive quality management, improve fault identification, and offer real-time monitoring. Higher quality standards, less waste, and more customer happiness are the outcomes of this. Artificial Intelligence (AI) tackles issues related to supplier performance, accurate forecasting, and inventory management in supply chain optimization. Automation and analytics powered by AI simplify supply chain processes, increase transparency, and facilitate improved decision-making, which lowers costs and increases flexibility. All things considered, integrating AI into manufacturing processes offers a strategic advantage by promoting increased accuracy, flexibility, and efficiency. The continued developments in AI technology have the potential to significantly influence how manufacturing develops in the future by creating new avenues for creativity and excellence in the sector.

Integrating Ayurvedic philosophy with modern technologies for drug research and development: A critical need of mechanistic insights for wider acceptability

Ayurveda is a holistic science emphasizing healing and maintaining harmony and balance in the body. Medicines from natural resources and in pre-defined dosage forms are integral parts of successful Ayurvedic treatment in various diseases including complex ailments, such as cancer. Ayurvedic medicines are cocktails of several active phyto-compounds and/or natural resources and no isolated/purified molecules are used in the treatment. However, various unique methods employed using natural media, such as water, lipids, buttermilk, and lemon juice, just to name a few, lead to the elimination of unwanted constituents/impurities and enhance the bioavailability and efficacy of the drug. Such plausible alterations, selection, and/or retention of signature phytocompounds in the raw materials, during the process, and in the final drug need to be studied for precise product identification and analysis. Critical standardization of the manufacturing procedures is, therefore, mandatory for quality fidelity, assurance, and optimum efficacy. Moreover, the simultaneous multi-level and/or multi-targeted actions of Ayurvedic medicines against various dysfunctions due to their complex nature makes it extremely challenging to understand the mechanistic aspects during pre-clinical and clinical studies.The present article focuses on probable challenges and ideal roadmaps for standardization and characterization of such herbal as well as metallic-mineral Ayurvedic medicines being used for various simple and complex diseases like cancer and their treatments. It is emphasized that Ayurvedic manufacturing procedures should be followed meticulously and the finished product be characterized thoroughly using advanced pharmaceutical and analytical techniques. It is also accentuated that detailed monographs or dossiers including shelf-life studies need to be officially published for knowledge dissemination and worldwide acceptance. Finally, safety and efficacy studies as per modern pharmacology ought to be conducted in suitable animal models for the judicious use of these medicines. Mainstream or adjuvant treatment of dreadful diseases such as cancer with Ayurvedic medicines will only be fruitful through rational experimentation and ethical reporting.

Revolutionizing cancer treatment: The role of radiopharmaceuticals in modern cancer therapy

AbstractRadiopharmaceutical therapy (RPT) is a precision medicine approach that involves the targeted delivery of radioactive atoms to tumor cells, representing a breakthrough strategy for cancer treatment. Radiopharmaceuticals typically consist of a small amount of radioactive material, a radionuclide, paired with a chemical that specifically targets the cell. Some radionuclides naturally target specific cells or biological processes without the need for modification. RPT is a novel cancer treatment method that offers various advantages over current traditional treatment approaches. One of the primary advantages of RPT is its ability to target cancer cells, including those in metastatic areas. Another key advantage of RPT is that radiation can be delivered systemically, locally, or physiologically to specific cells internally rather than being applied externally. Moreover, radiotracer imaging can be utilized to determine radiopharmaceutical absorption in target tissues before providing a therapeutic dose. Compared to all other cancer treatment approaches, RPT has demonstrated high efficacy with minimal toxicity. The recent approval of multiple RPT medicines by the US Food and Drug Administration highlights the tremendous potential of this treatment. This article provides a detailed review of RPT, including insights into manufacturing procedures, safety measures, and its applications in cancer therapy.

Product development and characterization of a lipid-based Ayurvedic polyherbal formulation: Kalyanaka Ghrita

BackgroundKalyanaka Ghrita (KG) is polyherbal oleaginous medicament consisting of extracts from twenty-eight different plants, indicated for management of psychosomatic disorders like Unmada (Schizophrenia), Apasmara (Epilepsy) and numerous other ailments. ObjectiveTo develop and validate standard manufacturing procedure of KG by following Ayurvedic principles in three batches to ensure process uniformity and standards. Materials and methodsThree batches of KG were prepared by adopting principles of Ashtanga Hrudya and Ayurvedic Formulary of India to ensure consistency in manufacturing process. Observations during process such as temperature, duration were recorded. KG was subjected to chief desired characteristics, organoleptic (color, odour, taste, texture, touch), physicochemical (acid value, peroxide value, iodine value, saponification value, loss on drying, refractive index, specific gravity, mineral oil, rancidity test, viscosity) as per pharmacopeial standard. Chromatographic screening and fingerprinting of KG were conducted through GCMS whereas quantification of curcumin and chebulagic acid biomarkers were assessed through HPLC. ResultsAverage yield of KG was 83.41%, with average intermittent heating duration of 20.35 h subsequently divided into three days. Temperature throughout preparation ranged from 66 °C to 101 °C. KG was pale olive in colour, exhibiting pleasant taste, characteristic smell, and soft texture. Organoleptic and physicochemical characters were comparable for three batches of KG while safety parameters were found within permissible limits. ConclusionPharmaceutical standardization of Kalyanaka Ghrita is necessary for establishing biological and chemical profile of formulations. Present study recommends use of coarse powdered ingredients for optimal yield during pharmaceutical process, and heating up to Madhyama Paka stage calibrated over three days with average temperature of 85 °C. The data obtained from this study may contribute to future research and development activities, serving as a basis for manufacturing standards of KG.

Impact of AI on Manufacturing and Quality Assurance in Medical Device and Pharmaceuticals Industry

Global health and well-being largely depend on the pharmaceutical and medical device industries. Manufacturing and quality assurance (QA) processes are crucial to maintaining product efficacy, safety, and regulatory compliance in these sectors. Artificial intelligence (AI) integration presents ground-breaking opportunities to enhance these processes. This study aims to systematically assess the impact of AI on manufacturing and QA in these pharmaceutical and medical device industries. It examines the benefits, challenges, and ethical and legal implications of integrating AI. It offers a thorough understanding of how AI technology can and has been successfully integrated to enhance business operations. An extensive literature analysis was carried out to investigate AI's application, role, benefits, and challenges in manufacturing and quality assurance processes in both industries. Research was also conducted on emerging trends, future developments, and regulatory issues. Increased productivity, early detection of defects, safer and higher-quality goods, improved regulatory compliance, reduced costs, and more flexibility and scalability are some advantages of AI technologies. However, significant obstacles are also to overcome, such as high capital costs, data quality and availability issues, legacy system integration, ethical concerns about bias and data privacy, difficulties with regulatory compliance, and a lack of AI-skilled workers. Case studies show how AI has been utilized to guarantee regulatory compliance and optimize processes. AI integration has much to offer the pharmaceutical and medical device industries in terms of improved manufacturing and quality assurance procedures. By addressing restrictions and seizing novel opportunities, these industries can use AI's transformative potential to support innovation, enhance product quality and safety, ensure regulatory compliance, and improve global health outcomes.

MXene Based Flame Retardant and Electrically Conductive Polymer Coatings.

Modern polymer coatings possess tremendous multifunctionalities and have attracted immense research interest in recent decades. However, with the expeditious development of technologies and industries, there is a vast demand for the flame retardancy and electrical conductivity of engineered polymer coatings. Traditional functional materials that render the polymer coatings with these properties require a sophisticated fabrication process, and their high mass gains can be a critical issue for weight-sensitive applications. In recent years, massive research has been conducted on a newly emerged two-dimensional (2D) nanosize material family, MXene. Due to the excellent electrical conductivity, flame retardancy, and lightweightness, investigations have been launched to synthesise MXene-based polymer coatings. Consequently, we performed a step-by-step review of MXene-involved polymer coatings, from solely attaching MXene to the substrate surface to the multilayered coating of modified MXene with other components. This review examines the performances of the fire safety enhancement and electrical conductivity as well as the feasibility of the manufacturing procedures of the as-prepared polymer composites. Additionally, the fabricated polymer coatings' dual property mechanisms are well-demonstrated. Finally, the prospect of MXene participating in polymer coatings to render flame retardancy and electrical conductivity is forecasted.