Concentration Of Carbon Dioxide Gas Research Articles

Accelerated surface carbonation of non-plastic silt mixed with hydrated lime

Chemical stabilization via hydration reactions with cement or lime is a universally applied method to improve the mechanical properties of shallow soils. Accelerated soil carbonation is a nascent approach intended to bypass this reaction. Carbon dioxide gas is deliberately introduced at high concentrations to react with the alkali additives and precipitate a carbonate binder that permanently sequesters carbon dioxide in the process. A large soil box experiment was performed to examine the efficacy of an accelerated surface carbonation approach, which has the potential to be applied over large areas. High concentrations of carbon dioxide gas were introduced at grade beneath a seal to facilitate vertical penetration into lime-mixed silt. The real-time progression of accelerated soil carbonation was captured with a gas flowmeter and a distributed array of embedded thermocouples and bender elements for the first time. Post-carbonation measurements of binder content and California Bearing Ratio (CBR) verified the degree of carbonation and associated mechanical improvement. Synthesis of real-time monitoring data and post-carbonation measurements indicate carbonation progressed top-down 150 to 200 mm below grade within 5 hours, resulting in a substantial increase in strength and stiffness. Potential challenges and benefits associated with adoption of accelerated surface carbonation are discussed.

Gas Concentration Measuring-System (CH4, NH3, CO2) Upon Cow Feces in an Encased-Space Based on Arduino Uno

The goal of this exploration is to fabricate an estimating instrument for perceiving Methane, Smelling salts, and Carbon Dioxide gas concentrations in cow feces within a confined space. The feasibility of gas concentration detection devices using MQ-2 sensors, MQ-4 sensors, and Arduino Uno-based MQ-135 sensors will also be tested. This research relates to physics, particularly instrument physics. The research will employ hardware design, software design, and testing methodologies. The gas used for testing was produced from 500 grams of cow feces through three treatments: no treatment, addition of 50 grams of activated charcoal, and addition of 50 milliliters of EM4. The tool validation test was conducted by three experts, and the typical worth acquired was 95.8%, classified as entirely achievable. The experiment yielded the highest concentrations of CH4, NH3, and CO2 gases at 11:30 AM (plus EM4), 03:00 AM (plus EM4), and 24:00 AM (without treatment), respectively, with readings of 9.49 ppm, 26.89 ppm, and 4.57 ppm.

Immune to temperature interference sensor of carbon dioxide gas concentration based on a single modified fiber Bragg grating.

In this study, a novel method that can detect carbon dioxide (CO2) concentration and realize temperature immunity based on only one fiber Bragg grating (FBG) is proposed. The outstanding contribution lies in solving the temperature crosstalk issue of FBG and ensuring the accuracy of detection results under the condition of anti-temperature interference. To achieve immunity to temperature interference without changing the initial structure of FBG, the optical fiber cladding of FBG and adjacent optical fiber cladding at both ends of FBG are modified by a polymer coating. Moreover, a universal immune temperature demodulation algorithm is derived. The experimental results demonstrate that the temperature response sensitivity of the improved FBG is controlled within the range of 0.00407 nm/°C. Compared with the initial FBG (the temperature sensitivity of the initial FBG is 0.04 nm/°C), it decreases by nearly 10 times. Besides, the gas response sensitivity of FBG reaches 1.6 pm/ppm and has overwhelmingly ideal linearity. The detection error results manifest that the gas concentration error in 20 groups of data does not exceed 3.16 ppm. The final reproducibility research shows that the difference in detection sensitivity between the two sensors is 0.08 pm/ppm, and the relative error of linearity is 1.07%. In a word, the proposed method can accurately detect the concentration of CO2 gas and is efficiently immune to temperature interference. The sensor we proposed has the advantages of a simple production process, low cost, and satisfactory reproducibility. It also has the prospect of mass production.

Isoterm Adsorpsi Arang Kulit Jengkol Sebagai Adsorben CO2

The concentration of carbon dioxide (CO2) gas in the atmosphere continues to increase every year, mainly due to human activities such as burning fossil fuels for energy, industrial processes, and transportation. The development of CO2 gas reduction research continues to be carried out, one of which is the adsorption process using adsorbents. The research was carried out by looking at the effect of variations in activating agent and activation temperature on adsorbents as CO2 adsorbers and how N2 and pore size distribution influence CO2 adsorption. The active carbon adsorbent used comes from jengkol peel which is carbonized via the pyrolysis method. Adsorbents are made by varying the type of activating material (KOH, Urea, and KOH+urea) and activation temperature (600℃, 700℃, and 800℃). The active ingredient KOH+urea has better absorption capacity than other variations, but not too high. N2 gas does not really affect the CO2 adsorption process because it has a low N2 adsorption isotherm, so it is not worrying if the CO2 adsorption process also contains N2 in the air. Based on measurements with Belsorp-Max II, the data obtained is only specific surface area data, this is due to the small surface pores of the adsorbent. The temperature of 800℃ has a better specific surface area than other variations, this is also by the higher CO2 adsorption capacity. So it is concluded that the pore surface area influences the ability to absorb CO2. Based on the data obtained, jengkol peel charcoal is not suitable as a CO2 adsorbent because it has a low pore surface area and adsorption isotherm

A new forecasting behavior of fractional model of atmospheric dynamics of carbon dioxide gas

This paper gives insight on the nonlinear mathematical model of fractional order, which defines the dynamic variation of carbon dioxide gas (CO2) concentration in the atmosphere X(t) and examines its solution by applying an efficient technique, namely the q-homotopy analysis generalized transform method (q-HAGTM). This study also highlights the effects of variations in human population N(t) and forest biomass F(t) on the dynamics of CO2 gas concentration in the atmosphere. This technique combines the q-homotopy analysis method (q-HAM) and the generalization of the Laplace transform (GLT) to provide an accurate approximation result. The results prove that the applied technique is suitable for high approximation of the atmospheric carbon dioxide gas concentration fractional model solution and simultaneously proves the efficiency of the applied method. The fluctuating behavior of carbon dioxide gas, forest biomass, and human population concentration is illustrated by the graphical representation of the fractional derivative with variation in time. The convergence and uniqueness of the obtained solutions are evaluated for the studied fractional model. The objective of this work is to assess the pattern of CO2 and its effects on the human population and ecosystem, such as global warming and biomass variation, which in turn affect the patterns of drought, floods, storms, and the spread of climatic and vector-borne diseases.

Application of Modified Atmospheres to Control Stegobium paniceum and Lasioderma serricorne Infestation of Stored Chamomile and Coriander and Its Effect On Product Quality

AbstractMedicinal and spices plants are crucial, and they can become infested by several insects, such as drugstore beetle (Stegobium paniceum l.) and the cigarette beetle (Lasioderma serricorne), during storage. Therefore, the present study aimed to assess the effect of enriched modified atmospheres (MAs), with CO2 or N2, on L. serricorne and S. paniceum adults and larvae and their effect on quality of chamomile flowers and coriander seeds during storage. Various carbon dioxide and nitrogen gas concentrations were tested, including 40% CO2, 50% CO2, 60% CO2, 97% N2, and 98% N2. The larval mortality for S. paniceum reached 100% after 6 days of 60% CO2 and 8 days for the L. serricorne. At 98% N2 treatment, the complete mortality (100%) of S. paniceum and L. serricorne adults was recorded following 3 and 9 day exposures and of larvae following 10 day exposure.The quality parameters (weight loss percentage, germination, essential oil percentage, and color) of chamomile flower and coriander seeds treated with 60% CO2 and control were studied after 3 and 6 months of storage. The MAs had the lowest weight loss percentage, the highest lightness value, the lowest color changes, and the highest essential oil content of chamomile flower and coriander seeds compared with the control treatment. Additionally, the MAs induced a higher germination percentage of coriander seeds compared with the control. Treatment with CO2 increased some essential oils compounds, compared with control after 6 months of storage of chamomile. All compounds were decreased in coriander seeds treated with CO2, except for carvone and anethole, which were increased. In conclusion, our study recommends using MAs to control S. paniceum and L. serricorne during storage and maintain the quality of chamomile flower and coriander seed.

Internet of Things-based sustainable environment management for large indoor facilities.

Due to global warming and climate change, the poultry industry is heavily impacted, especially the broiler industry, due to the sensitive immune system of broiler chickens. However, the continuous monitoring and controlling of the farm's environmental parameters can help to curtail the negative impacts of the environment on chickens' health, leading to increased meat production. This article presents smart solutions to such issues, which are practically implemented, and have low production and operational costs. In this article, an Internet of Things (IoT) based environmental parameters monitoring has been demonstrated for the poultry farmhouse. This system enables the collection and visualization of crucially sensed data automatically and reliably, and at a low cost to efficiently manage and operate a poultry farm. The proposed IoT-based remote monitoring system collects and visualizes environmental parameters, such as air temperature, relative humidity (RH), oxygen level (O2), carbon dioxide (CO2), carbon monoxide (CO), and ammonia (NH3) gas concentrations. The wireless sensor nodes have been designed and deployed for efficient data collection of the essential environmental parameters that are key for monitoring and decision-making process. The hardware is implemented and deployed successfully at a site within the control shed of the poultry farmhouse. The results revealed important findings related to the environmental conditions within the poultry farm. The temperature inside the control sheds remained within the desired range throughout the monitoring period, with daily average values ranging from 32 °C to 34 °C. The RH showed slight variations monitoring period, ranging from 65% to 75%, with a daily average of 70%. The O2 concentration exhibited an average value of 17% to 18.5% throughout the monitoring period. The CO2 levels showed occasional increases, reaching a maximum value of 1,100 ppm. However, this value was below the maximum permissible level of 2,500 ppm, indicating that the ventilation system was effective in maintaining acceptable CO2 levels within the control sheds. The NH3 gas concentration remained consistently low throughout the duration, with an average value of 50 parts per million (ppm).

Study of Intra-Annual and Annual Air Temperatures Over Iraq for Period (1970 – 2021)

Abstract Iraq is one of the most vulnerable regions in the world as a result of climatic changes, the exacerbation of global warming, high temperatures, extreme weather phenomena, droughts, desertification and dust storms. Studies confirmed that the increase in greenhouse gas concentrations was a major cause of climate change in Iraq, especially in the central and southern regions, which recorded the highest concentrations of these gases in recent years. Transformational and construction. The concentration of carbon dioxide gas, to which Iraq contributes 0.00508% of global emissions, has increased by 5 times after the year 2000 compared to before, i.e., by 1.8 times. So does methane, which has increased by 0.04 ppmv annually. The research found that the amount of increase in the annual temperatures for the last fifty years is (3 °C), and with these rates of temperature rise, it is expected that the increase will be by (2 °C) by the year 2050. The highest value for the average temperature was in Basra (40 °C) compared to Mosul and Baghdad, which reach (35 °C) during the summer, which indicates that the regions of southern Iraq are the most affected by the phenomenon of global warming.

An undergraduate laboratory to study exercise thresholds.

In exercise physiology, laboratory components help students connect theoretical concepts to their own exercise experiences and introduce them to data collection, analysis, and interpretation using classic techniques. Most courses include a lab protocol that involves exhaustive incremental exercise during which expired gas volumes and concentrations of oxygen and carbon dioxide are measured. During these protocols, there are characteristic alterations in gas-exchange and ventilatory profiles that give rise to two exercise thresholds: the gas exchange threshold (GET) and the respiratory compensation point (RCP). The ability to explain why these thresholds occur and how they are identified are fundamental to learning in exercise physiology and requisite to the understanding of core concepts including exercise intensity, prescription, and performance. Proper identification of GET and RCP requires the assembly of 8 data plots. In the past, the burden of time and expertise required to process and prepare data for interpretation has been a source of frustration. In addition, students often express a desire for more opportunities to practice/refine their skills. The objective of this article is to share a blended laboratory model that features the "Exercise Thresholds App" - a free online resource that eliminates post-processing of data and provides a bank of profiles on which end-users can practice threshold identification skills with immediate feedback. In addition to including pre-laboratory and post-laboratory recommendations, we present student accounts of understanding, engagement, and satisfaction following completion of the laboratory experience and introduce a new quiz feature of the app to assist instructors with evaluating student learning.

Farmers coping strategies to climate change in sustainable Arabica coffee production

Geographical Indications of Gayo Arabica coffee is currently faced with various challenges, including climate change, causing stagnation and, eventually, a decline in productivity. This research aims to determine the strategies adopted by farmers in dealing with climate change, to increase and maintain Gayo coffee productivity. The research was conducted in the Gayo Highlands, particularly in Aceh Tengah, Bener Meriah, and Gayo Lues districts, in three stages, including; (1) a study of the Gayo coffee GI area, (2) climate change study, and (3) a study of farmers’ strategies for dealing with climate change, using field observation surveys and interviews with farmers. The results reveal that the GI of Gayo arabica coffee has been mapped since its designation in 2010. Additionally, both rainfall and temperature have changed since the 1980s, and climate change (particularly temperature) has resulted in habitat shifting for the cultivation of arabica coffee clones, coffee berry borer infestations, and a decrease in coffee productivity. Farmers in the Gayo Arabica coffee GI area address climate change by implementing a strategy to create a microclimate through adaptation and mitigation. These include efforts to adapt coffee clones to their growing habitat, creating a microclimate by planting coffee and denser shade, covering the soil surface to minimize evaporation, and reducing the concentration of carbon dioxide gas and greenhouse gas emissions in the air by using locally sourced organic matter as fertilizer.

A Simultaneous Distinguishing Measurement Method of Carbon Dioxide Gas Concentration and Air Humidity Based on Double Fiber Bragg Gratings

Due to the advantages of small size, high sensitivity and strong anti-interference ability, optical fiber sensors are widely used in gas detection. Meanwhile, concentration and humidity detection based on optical fiber sensing are paramount technologies in the field of gas sensing. However, how to solve the issue of cross sensitivity of concentration and humidity of optical fiber gas sensors and realize synchronous detection of two parameters are current common challenges. In this study, taking carbon dioxide as an example, a detection method based on double fiber Bragg grating (FBG) string is proposed to measure carbon dioxide concentration and air humidity simultaneously. Here, a pair of FBGs are welded in series on an optical fiber after being filled with special materials. Using the control variable method, the performance parameters of the sensor can be determined through calculation. The experimental results demonstrate that the gas concentration sensitivity is 0.5952 pm/ppm in the range of 0 ppm~2250 ppm. In the range of 25%~65%, the air humidity sensitivity is 28.62 pm/RH. Moreover, it is less affected by temperature and has satisfactory repeatability and reproducibility. The sensor realizes high sensitivity and low crosstalk measurement of concentration and humidity and can be applied to the simultaneous detection of carbon dioxide concentration and air humidity in specific confined space.

Status and prospect of feasibility study on all electric commercial aircraft

Earth’s temperature has risen violently since 1981 which was more than twice before 1980. People believe that human activities increased the concentration of carbon dioxide and other gas in atmosphere resulting in a sharp rise in temperature over the decades which is called Greenhouse Effect. The Greenhouse Effect has become a risk of our survival. Glaciers are melting year by year which leads to flooding of coastal areas and countries like Maldives are under the risk of being submerged. The drought is also one of the consequences, high temperature triggered by Greenhouse throughout whole year especially in summer dries out the sources of water like rivers, lakes. This will lead us some other problems in shipping, irritations, power systems and other industries that are critical to human’s survival. With the development and growth of aviation, the problems tend to be more crucial. Governors have been trying to make plans to use renewable and sustainable fuel on aircrafts. The hard part is still about the electric engines that can be used on the giant airplanes.

Nanostructured Silicon-Based Surface Acoustic Wave Sensor for CO2 Gas Detection

Surface acoustic wave (SAW) gas sensors with nanostructured material-based sensing layers are desirable in gas sensing owing to their high sensitivity, and their fast response and recovery time. In this work, a novel SAW gas sensor with a nanostructured silicon (Si)-based sensing layer with four pairs of aluminum-based input and output interdigital transducer (IDT) is developed and fabricated. A finite-element analysis (FEA) is used to determine the sensitivity while varying the height of the nanostructured Si. As a proof of concept, the SAW sensor is tested for carbon dioxide (CO <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$_{{2}}$ </tex-math></inline-formula> ) gas concentrations, ranging from 500 to 2000 ppm. The results demonstrate that the developed SAW sensor with a nanostructured Si-based sensing layer showed a maximum frequency shift of 4.62177 kHz with a response and a recovery time of 31 and 40.5 s, respectively, for a 2000-ppm CO2 gas concentration. The developed nanostructured Si as a sensing layer for the SAW gas sensor demonstrated higher sensitivity than previously reported devices and has promising potential to be used as a sensing layer for next-generation MEMS SAW gas sensors.

Development of mathematical model for predicting methane-to-carbon dioxide proportion in anaerobic biodegradability of cattle blood and rumen content

• Prediction of methane-to-carbon dioxide within mesophilic range. • Production of methane for use as renewable energy source. • Optimal methane-to-carbon dioxide ratio in relation to temperature and hydraulic retention time. The potential of methane yield depends on the composition of feedstock which is characterized by a diversity of biodegradable fractions. This study aims at constructing and using the novel kinetic model as a tool to predict methane-to-carbon dioxide ratio from slaughterhouse solid waste using hydraulic retention time and temperature as parameters. The slurries prepared were composed of cattle blood, rumen content and requisite nutrient solution which were fed into a continuously stirred tank reactors. The process was monitored at regular intervals of 3 days for a retention time of 54 days for thermostatically controlled temperatures of 35, 37 and 40 °C. The percentage methane and carbon dioxide gas concentrations in the headspace were measured. The phenomenon was idealized with scatter plots and co-efficient of determination used to establish a reasonable correlation between the identified parameters. In this study, simple, robust and reliable kinetic models have been developed using the Microsoft Excel Add-in Solver Tool with the Generalized Reduced Gradient. The optimum solution of seven unknown constants represented by adjusted values where simulated values adequately matched the observed values for the three zones of this study. Validation of the models also showed that the phenomenon can be produced in a continuum at any fixed temperature.

Utilization of Carbon Dioxide via Catalytic Hydrogenation Processes during Steam-Based Enhanced Oil Recovery

The concentration of carbon dioxide in the atmosphere has been increasing since immediately after the boom of industrialization. Novel technologies are required for carbon dioxide (CO2) capture, storage, and its chemical conversion into value-added products. In this study, we present a novel in situ CO2 utilization method via a hydrogenation process in the presence of nickel tallates during steam-based enhanced oil recovery. The light n-alkanes are the preferred products of in situ catalytic hydrogenation of CO2 due to their effective solubility, viscosity-reducing capacity, and hydrogen-donating capacity. A nickel tallate was evaluated for its carbon dioxide hydrogenation and oil-upgrading performance at 300 °C. The results showed that the content of saturated and aromatic fractions increased, while the content of heavier fragments decreased. Moreover, the relative content of normal C10–C20 alkanes doubled after the catalytic hydrogenation of CO2. Despite the noncatalytic hydrogenation of CO2, the viscosity was altered from 3309 mPa.s to 1775 mPa.s at a shear rate of 0.66 s−1. The addition of the catalyst further contributed to the reduction of the viscosity, down to 1167 mPa.s at the same shear rate. Thus, in situ catalytic hydrogenation of CO2 not only significantly reduces the concentration of anthropogenic carbon dioxide gas in the atmosphere, but it also enhances the oil-recovery factor by improving the quality of the upgraded crude oil and its mobility.

Effects of a Combined Geothermal and Solar Heating System as a Renewable Energy Source in a Pig House and Estimation of Energy Consumption Using Artificial Intelligence-Based Prediction Model.

Simple SummaryA combined geothermal heat pump and solar system (GHPS) was installed at a pig house to check the effects on electricity consumption, greenhouse gas emission (GHE), internal farm temperature, the concentration of noxious gases and growth performance. The GHPS heating system reduced energy consumption and CO2 concentrations. Furthermore, the GHPS system effectively maintained the optimum temperature for pig growth inside the pigsty. Additionally, the artificial intelligence (AI)-based model ‘gene expression programming (GEP)’ was used to predict electricity consumption.This experiment evaluated the performance of a combined geothermal heat pump and solar system (GHPS). A GHPS heating system was installed at a pig house and a comparative study was carried out between the environmentally friendly renewable energy source (GHPS) and the traditional heating method using fossil fuels. The impact of both heating systems on production performance, housing environment, noxious gas emission, and energy efficiency were evaluated along with the GHPS system performance parameters such as the coefficient of performance (COP), inlet and outlet water temperature and efficiency of solar collector. The average temperature inside the pig house was significantly higher (p < 0.05) in the GHPS heating system. Similarly, the outflow temperature was increased significantly (p < 0.05) than the inflow temperature. The results of COP and efficiency of the solar system also indicated that the GHPS is an efficient heating system. The electricity consumption and carbon dioxide gas concentration were also reduced (p < 0.05) in the GHPS system. This study also predicts electricity consumption using an artificial intelligence (AI)-based model. The results showed that the proposed model justifies all the acceptance criteria in terms of the correlation coefficient, root mean square value and mean absolute error. The results of our experiment show that the GHPS system can be installed at a pig house for sustainable swine production as a renewable energy source.

Study of mid-latitude retrieval XCO2 greenhouse gas: Validation of satellite-based shortwave infrared spectroscopy with ground-based TCCON observations

Carbon dioxide (CO2) is a major greenhouse gas. This study investigated the performance of three common algorithms, namely NIES, ACOS, and Remo Tec (SRFP). These algorithms were compared using GOSAT observation satellite data with reference data obtained from TCCON during the period 2009–2021. According to statistical evaluation, the SRFP and NIES algorithms achieved the lowest and highest correlation values of the 13 year (2009_2021) average of all sites, respectively. The average bias error values of NIES and ACOS was estimated to be less than that of SRFP approximately 0.5 ppm, while the bias within SRFP was of about 2 ppm. Comparing the RMSE and CRMS error values showed that the highest and lowest error values were related to the SRFP and NIES algorithms respectively, which were 0.37–1.67 and ppm 1.46–7.9. The researchers also compared them with monthly time changes based on ground measurements, and observed a time series of CO2 concentration changes that well matched the trend of gas concentration values at ground stations obtained by NIES algorithm. The results showed that in most cases NIES was an effective algorithm to retrieve carbon dioxide gas concentrations, allowing the researchers to identify the main sources of greenhouse gas emissions in different areas. The clustering result in the study area showed that the continental CO2 columnar concentration has a specific seasonal cycle, with the maximum and minimum values appearing in winter-early spring and spring-late summer, respectively. In conclusion, cluster analysis can classify the surface CO2 column concentration values and determine the spatial distribution pattern of CO2.

Amine (Polyethyleneimine)-modified solid adsorbent for CO2 capture

Abstract The increase in the concentration of carbon dioxide (CO2) gas in the atmosphere has led to various severe negative consequences. There are numerous methods for the reduction of CO2 that have been introduced such as chemical and physical absorption, organic liquid scrubbing, amine-based absorption, etc. Adsorption by using solid adsorbents is one of the promising methods that has been widely studied by researchers. The performance of the adsorbents can be enhanced by functionalized with diverse types of promoters. This review is discussing the performance of polyethyleneimine (PEI) as a promoter towards the adsorption of CO2. To achieve high effective PEI-adsorbents, the percentage of PEI amine loading, type of porous support, temperature, and different flow conditions are among the important parameters that need to be considered. The chemical stability of PEI can be improved through modification crosslinking of PEI. Hence in this review, the effect of amine loading, porous support, temperature, slow condition and crosslinking of PEI to its CO2 adsorption performance is observed.

Geometrical Assessment of Soil calcareousness: Acase study from Telangana State, India

The accretion and hauling of carbonates are used to identify, and interpret the soil formation processes in the soil profile. Predominantly, these soils types comprise over one-third of the world’s land surface area. Generally, Calcareous soils are identified by the presence of calcium carbonate (CaCO3) in the parent material. When the soil samples are treated with dilute Hydrochloric acid, an accumulation of lime through the fizzing occurs, and releases carbon dioxide. The released carbon dioxide gas concentration indicates the level of carbonates present in the soil. In this study, the thematic data integration of calcareous soil values, and soil types is done using Remote sensing and GIS tools to get the action plan maps by Arc GIS 10.3 software. From this, it is identified that almost 50% of Gopannapalle village is suffering from 35-60% calcareous, followed by 30% of the study area with 15-35% slightly calcareous and 70% of Anekunta village is suffering from 35-60% calcareous, followed by 20% of the study area with 15-35% somewhat calcareous. Based on the calcareous maps, it is recommended that the soil infertility and soil pH can reduce by improving proper fertilizer management and organic manure applications to increase its nutrient value.

Effect of physical properties of synthesized protic ionic liquid on carbon dioxide absorption rate.

The concentration of carbon dioxide gas has accelerated over the last two decades which cause drastic changes in the climatic conditions. In industries, carbon capture plants use a volatile organic solvent which causes many environmental threats. So, a low-cost green absorbent has been formulated with nontoxicity and high selectivity properties for absorbing carbon dioxide gas. This paper contains the synthesis process along with the structure confirmation using 1H NMR, 13C NMR, FT-IR, and mass spectroscopy. Density, viscosity, and diffusivity are measured at different ranges with standard instruments. The kinetic studies were also conducted in a standard predefined-interface stirred cell reactor. The kinetic parameters were calculated at different parameters like agitation speeds, absorption temperature, initial concentrations of ionic liquid, and partial pressure of carbon dioxide. The reaction regime of carbon dioxide absorption is found to be in fast reaction kinetics with pseudo-first-order. The reaction rate and the activation energy of CO2 absorption are experimentally determined in the range of 299 to 333K with different initial concentrations of ionic liquid (0.1-1.1 kmol/m3). The second-order rate constant and activation energy of carbon dioxide absorption in the synthesized ionic liquid is found to be 9.48 × 103m3mol-1s-1 and 16.61kJmol-1 respectively. On increasing the viscosity of the reacting solvent, the diffusivity of CO2 gas molecules decreases, and thus the rate of absorption decreases. This solvent has shown great potential to absorb CO2 at a large scale.