Production Methods Research Articles

Progress and Remaining Opportunities to Increase the Use of Animal-free Antibodies in the USA.

The scientific and ethical issues associated with the use of animal-derived antibodies in research can be overcome by the use of animal-free, sequence-defined recombinant antibodies, whose benefits are well documented. Here, we describe progress made following a 2019 expert meeting focused on improving the quality and reproducibility of biomedical research by accelerating the production and use of animal-free recombinant antibodies in the USA. In the five intervening years since the meeting, participants have established multifaceted initiatives to tackle the next steps outlined during the meeting. These initiatives include: prioritising the replacement of ascites-derived and polyclonal antibodies; distributing educational materials describing recombinant antibodies; fostering public-private partnerships to increase access to recombinant antibodies; and increasing the availability of funding for recombinant antibody development. Given the widescale use of antibodies across scientific disciplines, a transition to modern antibody production methods relies on a commitment from government agencies, universities, industry and funding organisations, to initiatives such as those outlined here.

Machine learning-based predictive control of an electrically-heated steam methane reforming process

Hydrogen plays a crucial role in improving sustainability and offering a clean and efficient energy carrier that significantly reduces greenhouse gas emissions. However, the primary method of industrial hydrogen production, steam methane reforming (SMR), relies on the combustion of hydrocarbons as the heating source for the reforming reactions, resulting in significant carbon emissions. To address this issue, an experimental setup of an electrically-heated steam methane reformer (e-SMR) has been constructed at UCLA, and a lumped first-principle dynamic process model was built based on parameters estimated from the experimental data in a previous study. Subsequently, the first-principle dynamic process model was implemented into the computational model predictive control (MPC) scheme, successfully driving the hydrogen production rate to the desired setpoint. While these works are important and pave the way for developing MPC for large-scale e-SMR processes, the first-principle process model may not accurately reflect the actual process behavior, particularly as the process behavior changes with time. Therefore, the development and establishment of an adaptive data-driven approach for implementing model predictive control in the e-SMR process is necessary. To address this need, the present work investigates the construction of recurrent neural network (RNN) models for an e-SMR process in-depth, utilizing data from an experimentally-validated first-principle model. Specifically, a long short-term memory (LSTM) layer was utilized in the RNN model to effectively capture the complex correlations present in long-term sequential data. Subsequently, this LSTM-based RNN process model was employed to design an MPC, and its performance was evaluated through comparison with proportional-integral (PI) control. To address potential disturbances and variability in a typical e-SMR process, three distinct approaches were developed: MPC with an integrator, MPC with real-time online retraining (transfer learning), and offset-free MPC. These approaches effectively eliminated the offset caused by disturbances. Overall, this study underscores the effectiveness of utilizing RNN models to capture process dynamics in an experimental e-SMR process. It also outlines strategies for employing RNN-based control and multiple approaches to address disturbances in general processes with partially infrequent and delayed measurement feedback. This approach is particularly valuable in scenarios where developing first-principle models for a new process may be challenging.

Feasible production of highly homogeneous nano-scaled WC powders: an industrial practice via raw material pretreatment and direct reduction-carbonization

A method for industrial production of nano-scaled WC powders has been proposed. In this work, WO2.9 is subject to pre-reduction, followed by jet-milling treatment. The precursor is then mixed with carbon black by ball milling, and directly reduced-carbonized to nano-scaled WC powders. The WC powders prepared at different carbonization temperatures were made into alloys and micro drills, revealing the influence of powder properties on the microstructure and properties of the alloys through comparative analysis. The results indicate that when WO2.9 powder is reduced at 700°C for 1h and then jet-milled at a rotational speed of the grading wheel of 3500 rpm, the aggregates in the powder can be effectively broken, and the precursor powders with fine particle size and near-single phase can be obtained. In this way, the equipment exhibits relatively high productivity. By comparing the microstructure and properties of the alloy prepared from raw materials at different carbonization temperatures, it can be seen that if the carbonization temperature is too high, the average particle size of the powder increases and agglomeration appears in the microstructure. An increase in the average particle size of the powder will lead to an increase in the average grain size of the prepared alloys, thereby reducing the hardness and the wear resistance during service. In addition, the agglomerated particles in the powders can easily lead to abnormal WC grain growth in the microstructure of the prepared alloys, which reduces the bending strength.

Utilization of agro-industrial byproducts as low-cost nutrient sources for production of kefiran and lactic acid by Lactobacillus kefiranofaciens

Kefiran is an exopolysaccharide derived from kefir grains that has antioxidant and antimicrobial properties. The high production cost of kefiran is primarily attributed to the expensive fermentation media. Therefore, the use of byproducts from agro-industries could present an economically favorable alternative. In this study, locally available mature coconut water (MCW) and whey lactose (WL) were used as cost-effective nutrient sources for kefiran production by Lactobacillus kefiranofaciens JCM 6985. MCW gave a higher yield of kefiran and acid than WL and was comparable to the commercial medium. The optimal sugar concentration for kefiran and acid production from MCW was 30 g/L, and the pH control during cultivation could alleviate the inhibitory effect of acidic pH and enhance kefiran and acid production. When the MCW was added with yeast extract at 3 g-nitrogen/L, the kefiran and acid production increased up to 3.26 ± 0.03 g/L and 15.5 ± 0.7 g/L, respectively. Moreover, the kefiran and acid production was scaled up in the bioreactor and enhanced by the repeated-batch cultivation for six cycles. The structure analysis indicated that kefiran produced by L. kefiranofaciens when using MCW had a similar structure to that extracted from kefir grains. The findings demonstrate promising methods for cost-effective production of kefiran and lactic acid using inexpensive nutrient sources such as MCW.

Comparative analysis of multi-effect evaporators in an ammonium acetate concentration process for L-methionine production

The process of treating an acetic acid aqueous solution generated during L-methionine production with ammonia and recovering a highly concentrated ammonium acetate aqueous solution using a multi-effect evaporator process was studied. The electrolyte non-random two-liquid model was applied to calculate the activity in the electrolyte solution, and the Hayden-O’Connell model was used to consider the dimerization reaction of acetic acid in the vapor phase. The dissociation equilibrium constant of acetic acid was modeled based on experimental values, and all other thermodynamic property models and parameters were used as implemented in the Aspen Plus software. Economic evaluation was carried out with various sensitivity tests, considering the loss of acetic acid and ammonia, as well as the steam cost. Evaporator operation was found to be more economical when the molar ratio of acetic acid to ammonia was equal, feed concentration was high, feed flow rate was low, and evaporator temperature was low. These results were confirmed in actual plant operations, with significant correlations between the feed flow rate and evaporator temperature. Our findings have significant implications for the development of sustainable and economical L-methionine production methods that enable the recycling of ammonium acetate.

Determination of prebiotic activity and probiotic encapsulation ability of inulin type fructans obtained from Inula helenium roots.

Inulin, a prebiotic utilized in the food and pharmaceutical industries, promotes the growth of beneficial bacteria in the colon, thereby enhancing human health. Although inulin is commercially produced from chicory and artichoke, Inula helenium roots offer a high potential for inulin production. The aim of this study is to investigate the prebiotic activity of inulin (inulin-P) from I. helenium roots on Lactobacillus rhamnosus, as well as its ability to produce synbiotic microcapsules and the effects on probiotic viability during freeze-drying, in vitro gastrointestinal (GI) digestion, and storage. First, the effect of inulin-P on L. rhamnosus viability and short-chain fatty acid (SCFA) production was compared to other commonly utilized prebiotics. The findings revealed that inulin-P remarkably promoted the growth and SCFA yield of L. rhamnosus for 48h of fermentation and 28 days of storage. Then, L. rhamnosus was encapsulated with inulin-P and commercial inulin to compare its survival throughout storage and the GI tract. Inulin-P microcapsules outperformed in terms of viability during storage (7.98logCFU/g after 30 days at 4°C). Furthermore, inulin-P microcapsules were heat-resistant and protected L. rhamnosus from GI conditions, resulting in a high survival rate (89.52%) following large intestine simulation, which is ideal for increasing customer benefits. Additionally, inulin-P microcapsules exhibited similar physical characteristics to commercial inulin. Consequently, this study revealed that inulin-P, which is easy to produce, low-cost, and has industrial application potential, could be used as a good carrier for the synbiotic encapsulation of L. rhamnosus. PRACTICAL APPLICATION: Inulin is a prebiotic that promotes the activity and growth of beneficial bacteria in the human gut. Although commercial inulin is currently produced from chicory root and artichoke, Inula helenium root is a potential raw material for inulin production. In this study, inulin was produced from I. helenium roots with a low-cost and easy production method, and it was determined that this inulin was an effective carrier in the synbiotic encapsulation of L. rhamnosus. This inulin exhibits superior prebiotic activity and encapsulation efficiency compared to commercial inulins like Orafti® GR and HPX and can be easily integrated into industrial production.

Sustainability assessment of denim fabric made of PET fiber and recycled fiber from postconsumer PET bottles using LCA and LCC approach with the EDAS method.

The textile industry is under pressure to adopt sustainable production methods because its contribution to global warming is expected to rise by 50% by 2030. One solution is to increase the use of recycled raw material. The use of recycled raw material must be considered holistically, including its environmental and economic impacts. This study examined eight scenarios for sustainable denim fabric made from recycled polyethylene terephthalate (PET) fiber, conventional PET fiber, and cotton fiber. The evaluation based on the distance from average solution (EDAS) multicriteria decision-making method was used to rank scenarios according to their environmental and economic impacts, which are assessed using life cycle assessment and life cycle costing. Allocation, a crucial part of evaluating the environmental impact of recycled products, was done using cut-off and waste value. Life cycle assessments reveal that recycled PET fiber has lower freshwater ecotoxicity and fewer eutrophication and acidification impacts. Cotton outperformed PET fibers in human toxicity. Only the cut-off method reduces potential global warming with recycled PET. These findings indicated that recycled raw-material life cycle assessment requires allocation. Life cycle cost analysis revealed that conventional PET is less economically damaging than cotton and recycled PET. The scenarios were ranked by environmental and economic impacts using EDAS. This ranking demonstrated that sustainable denim fabric production must consider both economic and environmental impacts. Integr Environ Assess Manag 2024;00:1-19. © 2024 The Author(s). Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Preparation of polyurethane shell microcapsules containing isocyanate core by Pickering emulsion method using modified silica nanoparticles and investigation of their self-healing performance

Encapsulating repair agents are increasingly popular for repairing coating damage, with capsules being a common method to address surface scratches by releasing healing liquid into the fissure. However, creating microcapsules that are durable against environmental factors remains a key concern. Current research focuses on advancements in encapsulating healing agents and their production methods, particularly emphasizing the integration of capsules into coatings for external self-healing purposes. Polyurethane capsules containing isophorone diisocyanate were synthesized using the Pickering emulsion method with modified silica as a Pickering emulsion stabilizer in three different percentages and then dispersed in urea formaldehyde at varying weight percentages. The self-healing properties of this coating were then studied. Fourier transform infrared spectroscopy (FTIR), Soxhlet extraction, and thermogravimetric analysis (TGA) were performed on the samples to ensure the success of the encapsulation process. The morphology of the capsules was investigated using field emission scanning electron microscopy (FE-SEM), revealing that the synthesized capsules possess a spherical shape and are adequately spaced apart. These capsules were spherical at micron scales, with differences observed based on the quantity of stabilizing nanoparticles employed. Furthermore, the capsules demonstrated robust thermal stability, as evidenced by the increase in IPDI evaporation temperature from approximately 140 °C to 240 °C.Immersion test results in saltwater solutions showed that coatings containing pickering capsules exhibited better corrosion resistance, further validating the success of the research. The shell strength of the capsules prepared using the Pickering method was increased, enhancing the stability of the microcapsules during the mixing process with the resin and demonstrating self-healing properties. These findings have significant practical implications, as they demonstrate the potential to improve the durability and lifespan of coatings in various applications.

Patents as an indicator of sustainability of domestic products in the Russian market on the example of redispersible polymer powders

The article provides information regarding patenting statistics in the field of compositions and methods of production of redispersible polymer powders. It is demonstrated that a patent is primarily a profit-making tool, and patent research is a mechanism for making long-term forecasts in a technological niche. The main mistakes of Russian patent holders when protecting their developments are discussed and ways to prevent them are proposed. Comparative examples of claim writing are offered, and issues of comprehensive patent protection are also discussed.

County-level total factor productivity of food in China and its spatio-temporal evolution and drivers

In the context of the ongoing process of high-quality development in the new era, which is focused on improving total factor productivity, it is of great importance to explore the spatial and temporal variations of total factor productivity growth and its driving factors in China’s county regions’ grain cultivation industry. This paper employs a three-stage DEA-Malmquist productivity method, the Gini coefficient method, and a panel fixed-effects model to analyze data from Chinese counties between 2009 and 2019. The analysis indicates that the growth of county food total factor productivity (FTFP) exhibits a fluctuating upward trend during the examination period, with an average annual growth rate of 2.43%. This is primarily driven by technological progress, yet the core driving role of technological efficiency is not effectively played. The average annual growth rate of county FTFP varies across different regions. The highest average annual growth rate of county FTFP in the eastern region and the primary grain-producing area is 2.75 and 3.04%, respectively. The lowest growth rates were observed in the western region and the main grain marketing area, at 1.44 and 1.23%, respectively. Secondly, the Gini coefficient of county FTFP continues to demonstrate a persistent upward trend during the examination period, with an average annual growth rate of 14.729%. The primary factor contributing to the observed variation in total factor productivity growth of the food sector at the regional level is the existence of disparate technological progress. Thirdly, there is a notable positive correlation between county financial deepening and financial self-sufficiency rates and county FTFP growth, with impact coefficients of 0.0503 and 0.0924, respectively. Conversely, county population density, degree of economic development, farmers’ income level, and industrial structure exert a significant negative influence on county FTFP growth and technological progress.

Integration of Industry 4.0 technologies in industrial manufacturing processes

The integration of Industry 4.0 technologies into industrial production processes represents a significant evolution. This article explores the impact and benefits of this integration, showing how emerging technologies are revolutionizing traditional production methods. The methodology addresses the fundamental concepts of Industry 4.0, such as device interconnection, real-time data analysis, and intelligent automation, and examines specific technologies incorporated into manufacturing processes, such as the Internet of Things (IoT), Additive Manufacturing, Artificial Intelligence (AI), and Augmented Reality (AR). Case studies and practical examples illustrate the implementation of these technologies in various sectors, from precision parts manufacturing to mass production. Finally, the challenges and opportunities are discussed, as well as the future implications for the manufacturing industry. This article offers a view of the role of Industry 4.0 in industrial production processes, highlighting its importance for competitiveness and innovation in the digital world.

Enriching NPK Mineral Fertilizer with Plant-Stimulating Peptides Increases Soilless Tomato Production, Grower Profit, and Environmental Sustainability

The need to increase agricultural production to feed a steadily growing population may clash with the more environmentally friendly but less efficient production methods required. Therefore, it is important to try to reduce the use of chemical inputs without compromising production. In this scenario, natural biostimulants have become one of the most sought-after and researched technologies. In the present study, the results of a greenhouse experiment on hydroponic tomatoes (Solanum lycopersicum L.) are presented, which involved comparing the use of an ordinary NPK fertilizer (Cerbero®) with the use of an NPK fertilizer enriched with 0.5% protein hydrolysate of plant origin (Cerbero Green®) at both standard (100%) and reduced (70%) fertilization rates. The results highlight how the use of Cerbero Green® fertilizers improves the production performance of tomatoes. More specifically, they show that the use of Cerbero Green® leads to higher marketable yields, especially under reducing fertilizer use, ensuring a positive net change in profit for the grower. In addition, carbon footprint analysis has revealed that the use of Cerbero Green® reduces the environmental impact of hydroponic tomato growing practices by up to 8%. The observed higher yield of hydroponically grown tomatoes even with reduced fertilization rates underlines once again the key role of natural biostimulants in increasing both the economic and environmental sustainability of horticultural production.

Smell the Perfume: Can Blockchain Guarantee the Provenance of Key Product Ingredients in the Fragrance Industry?

Although many studies have proclaimed the potential benefits of blockchain technology for supply chain traceability, there are very few examples of successfully scaled blockchain traceability solutions. Here, we examine the challenges in adopting blockchain-based traceability solutions using the case of a complex globally fragmented industry—the fragrance sector. Fragrances are used in a vast number of products. Leading brands make substantial claims about the origin, production methods, certifications and environmental and social sustainability of the fragrances in their products. We categorize the types of traceability-related claims made and examine the potential use of blockchain to support them. The industry exemplifies the challenges in ensuring supply chain traceability in globally dispersed supply chains. The research highlights the potential of blockchain-based traceability solutions but identifies four major challenges—bringing together supply chain partners for a blockchain initiative, disclosing and sharing more information than is common in buyer-supplier relationships, ensuring information encoded on a blockchain provides an accurate record of a product’s journey through the supply chain and involving parties such as regulatory and industry bodies in blockchain initiatives. The challenges identified are reflected in supply chains that are fragmented and globally dispersed, showing why the uptake of blockchain-based traceability has been limited in such sectors.

Biomass Moving Bed Combustion Analysis via Two-Way Coupling of Solid–Fluid Interactions Using Discrete Element Method and Computational Fluid Dynamics Method

Nowadays, almost all countries in the world are intensifying their search for locally available energy sources to become independent of external supplies. The production of alternative fuels from biomass and waste by thermal treatment or direct use in the combustion process is still the simplest method for fast and cheap heat production. However, the different characteristics of these fuels can cause problems in the operation of the plants, resulting in increased air pollution. Therefore, the analysis of the thermal treatment of solid fuels is still an important issue from a practical point of view. This work aimed to study biomass combustion in a small-scale reactor using the in-house Extended DEM (XDEM) method based on mixed Lagrangian–Eulerian approaches. This was provided by a novel, independently developed coupling computational interface. This interface allows for a seamless integration between CFD and DEM, improving computational efficiency and accuracy. In addition, significant advances have been made in the underlying physical models. Within the DEM framework, each particle undergoes the thermochemical processes, allowing for the prediction of its shape and structural changes during heating. Together, these changes contribute to a more robust and reliable simulation tool capable of providing detailed insights into complex multi-phase flows and granular material behavior. Numerical results were obtained for a non-typical geometry to check the influence of the walls on the distribution of the parameters in the reactor. The results show that XDEM is a very good tool for predicting the phenomena during the thermal treatment of solid fuels. In particular, it provides information about all the moving particles undergoing chemical reactions, which is very difficult to obtain from measurements.

Design of dual-channel Swiss-roll reactor for high-performance hydrogen production from ethanol steam reforming through waste heat valorization

Steam reforming is one of the most economical and efficient methods for hydrogen production. However, one of its glaring issues is the heat supply, which is used to maintain the reactions. Among reactors for hydrogen production, Swiss-roll reactors have exhibited exceptional performance in sustaining the heat required for reactions. Furthermore, heat supply via waste heat recovery has been an attractive industrial prospect for improving the sustainability of hydrogen production. This study proposes a design of a novel Swiss-roll reactor with dual channels to harvest waste heat from the flue gas to sustain the steam reforming reactions. Ethanol is used as a feedstock due to its environmentally benign properties. Numerical simulations are conducted to establish the reactor's catalytic reactions and heat transfer phenomena under the variations of gas hourly space velocity (GHSV), steam-to-ethanol (S/E) ratio, and inlet flue gas temperature. Heat recovery improves at higher GHSVs and lower S/E ratios at the cost of less efficient hydrogen production, while high inlet flue gas temperature improves heat recovery and hydrogen production. The novel reactor design can fulfill complete ethanol conversion maintained by heat recovered from waste flue gas, achieving 86.6 % hydrogen production efficiency and 72.7 % heat recovery under optimal operating conditions.

Experimental study and prediction method of solid destabilization and production in deep carbonate reservoir during mining

Wellbore instability is one of the significant challenges in the drilling engineering and during the development of carbonate reservoirs, especially with open-hole completion. The problems of wellbore instability such as downhole collapse and silt deposit in the fractured carbonate reservoir of Tarim Basin (Ordovician) are severe. Solid destabilization and production (SDP) was proposed to describe this engineering problem of carbonate reservoirs. To clarify the mechanism and mitigate potential borehole instability problems, we conducted particle size distribution (PSD) analysis, X-ray diffraction (XRD) analysis, triaxial compression tests, and micro-scale sand production tests based on data analysis. We found that the rock fragments and silt in the wellbore came from two sources: one from the wellbore collapse in the upper unplugged layers and the other from the production of sand particles carried by the fluid in the productive layers. Based on the experimental study, a novel method combining a geomechanical model and microscopic sand production model was proposed to predict wellbore instability and analyze its influencing factors. The critical condition and failure zone predicted by the prediction model fit well with the field observations. According to the prediction results, the management and prevention measures of wellbore instability in carbonate reservoirs were proposed. It is suggested to optimize the well track in new drilling wells while upgrading the production system in old wells. This study is of great guiding significance for the optimization of carbonate solid control and it improves the understanding of the sand production problems in carbonate reservoirs.

Processing of fully dense and high conductivity W[sbnd]20Cu composite via copper melt infiltration into a pressed tungsten wire skeleton

The current study proposed melt infiltration into entangled pressed wire as a proper method for rapid and energy-efficient production of tungsten‑copper composites. The process includes wire packing through different strategies, pressing, and infiltration steps. First, a predesigned wire structure through different strategies of simple, spiral, cylindrical, and spherical is packed and pressed to form a permeable tungsten skeleton. Then, by infiltrating molten copper under a dry hydrogen atmosphere into the porous preforms, the W20Cu composite is fabricated and characterized. An almost fully dense sample with excellent hardness of 238.1 HV1 and high conductivity of 58.64% IACS in W20Cu composite was achieved. These values are almost 25% and 50% higher than that from the conventional melt infiltration method, respectively. It was seen that the packing strategy is so effective in achieving the best properties where the processed composite by spherical packing strategy exhibits better density, conductivity, and hardness than the sample produced via the other three packing strategies. However, all the properties of the melt infiltration into entangled pressed wire processed composite via all packing strategies are higher than those processed via conventional methods. These excellent properties could be attributed to the mostly bonded tungsten phase, high purity, pore-free, and suitable distribution of tungstens which are a result of this process characteristics. Besides, lower cycle time and energy consumption are other advantages of the new process compared to conventional melt infiltration via powder metallurgy. This approach presents a promising prospect for future industrial applications.

Fungal Proteins: Sources, Production and Purification Methods, Industrial Applications, and Future Perspectives

Fungal Proteins: Sources, Production and Purification Methods, Industrial Applications, and Future Perspectives

Experimental study on CO2 sequestration capacity and mechanical characteristics evolution of solid wastes based carbon-negative backfill materials

The employment of solid waste, notably coal gangue, in carbon-negative backfill mining technology for mineralization and filling in coal mine gobs, is recognized as a productive method for carbon sequestration and waste management, with research primarily dedicated to engineering advanced mineralized backfill materials. Under this background, four variables, including the ratio of gangue to solids (RG-S), water-cement ratio (RW-C), ratio of fly ash to solid wastes providing calcium (Ca) (RA-Ca), and ratio of flue gas desulfurization (FGD) gypsum to carbide slag (RF-CS) were defined to formulate gangue-based mineralized backfill materials, with orthogonal experiments assessing their effects on CO2 sequestration and mechanical characteristics. The results indicate that RW-C consistently emerges as the primary factor influencing both the amount of sequestered CO2 and the mechanical properties of gangue-based solid waste mineralized backfill materials. The amount of sequestered CO2 demonstrates a direct proportionality to RW-C and mechanical strength demonstrates an inverse relationship with RW-C. After 45 minutes of stirring and carbon sequestration, samples in various groups exhibited an maximum sequestered CO2 amount of 18.96 g·kg−1, with a maximum sequestration rate of 0.20 g·kg−1·min−1. The process of CO2 sequestration enhances the compressive properties of mineralized backfill materials derived from gangue based solid wastes.

Analysis of the carbon emissions trend in the Indian manufacturing sector: a decomposition and decoupling approach.

There is a growing emphasis on fostering green growth and lowering carbon emissions in order to achieve sustainable economic development. This study uses the Tapio decoupling model and analyzes the factors influencing changes in carbon emissions from manufacturing in India utilizing the log mean Divisia index (LMDI) techniques. Furthermore, the nexus between carbon emission intensity, information and communication technology (ICT), total factor productivity (TFP), skill, and energy intensity has been analyzed using the system-GMM approach. It is based on the plant-level Annual Survey of Industries (ASI) datasets for the organized manufacturing sector of India from 2001 to 2002 to 2019 2020 for the major 21 Indian states/UT. The findings reflect the presence of weak decoupling in the manufacturing sector both at the aggregate level and in states. This indicates that both output and emissions are increasing; however, output growth surpasses emission growth, which signifies an effort to transition towards more environmentally friendly production methods and enhanced energy efficiency. The output and population effect are found to be leading factors in carbon emissions, while energy intensity is found to be reducing the effect. Further, the system-GMM estimates show that ICT and energy intensity positively affect total factor productivity, while with an increase in carbon emission intensity, productivity declines. The study confirms the existence of an inverted N-shaped Kuznets curve in the sector. This present study will contribute to formulating energy and environmental strategies to reduce emissions and promote adopting cleaner energy sources. These efforts will facilitate the attainment of carbon neutrality and enhance energy efficiency within the sector.