Solvent Flow Rate Research Articles

Supercritical fluid extraction of astaxanthin-rich extracts from Haematococcus pluvialis: Economic assessment

The study evaluated the techno-economic feasibility of an industrial SFE plant to produce astaxanthin-rich extracts in Chile based on previously published data. A kinetic study comparing two solvent flow rates (3.62 and 7.24 g/min) at a scale production of 2 × 10 L showed the FER period as the more economically feasible with a cost of manufacturing (COM) of US$ 656.31/kg at 7.24 g/min. The study also demonstrated that the extraction times used at a laboratory scale were not industrially feasible due to the flowrate limits of industrial pumps. After adjusting extraction time to real industrial conditions, the results demonstrated that a 5-fold scale increase (2 × 10 L to 2 × 50 L) decreased the COM by 30 % and the process was profitable at all production scales. Finally, the sensitivity study demonstrated that it is possible to reduce the selling price by 25 % at 2 × 50 L scale.

Amylodextrin hydrogel as a green sorbent for pipette-tip micro-solid phase extraction followed by ion mobility spectrometry for analysis of triazole fungicides in environmental water samples

Triazole compounds have been globally used for controlling fungal diseases such as rusts, powdery mildew, and many leaf-spotting fungi. These compounds also have adverse effects on the environment and human health. In the present work, a hydrogel-based sorbent was synthesized by a combination of hydrophilic acrylic polymer and biodegradable amylodextrin. The sorbent was characterized by Fourier-transform infrared (FT-IR) spectroscopy, Brunauer-Emmett-Teller (BET) surface area, elemental CHN analysis, field emission scanning electron microscopy (FE-SEM), and zeta potential. The synthesized hydrogel was used as a green sorbent in the pipette-tip micro-solid phase extraction procedure for extraction and quantification of triazole fungicides (penconazole, hexaconazole, and tebuconazole) in environmental water samples. The corona discharge-ion mobility spectrometry (CD-IMS) was used as a rapid and sensitive detection technique. The effects of important variables on the extraction efficiency were optimized by response surface methodology (RSM). The proposed method provided good linearity (r2 ≥ 0.995) over a concentration range of 0.5–1000 ng/mL, acceptable intra-day RSD (≤ 5.7%, n = 5) and inter-day RSD (≤ 8.7%, n = 5), low limits of detection (0.10–0.20 ng/mL), good preconcentration factors (16.9–17.9 times), and high extraction recoveries (93.1–98.3%) under optimum extraction conditions. The extraction conditions were as follows: the amount of sorbent: 6.0 mg, pH of sample solution: 7.5, the flow rate of sample solution: 2.0 mL/min, adsorption time: 16.5 min, volume of desorption solvent: 1.1 mL, the flow rate of desorption solvent: 0.5 mL/min, and desorption time: 11.7 min. Finally, the proposed method was successfully applied for the quantification of triazoles in river and agricultural water samples.

CFD modeling on the chemical absorption of CO2 in a microporous tube-in-tube microchannel reactor

In this paper, combining recently developed mesoscale mass transfer model with reaction kinetics, the chemical absorption process of CO2 by MEA solution in a microporous tube-in-tube microchannel reactor (MTMCR) was numerically simulated for the first time. The predicted values by CFD simulations were in agreement with the public experimental data (Na-Na Gao et al., Ind. Eng. Chem. Res., 2011). The distributions of CO2 removal efficiency and volumetric mass transfer coefficient under different gas flow rate, solvent flow rate, solvent temperature, and MEA concentration were analyzed. Among these factors, MEA concentration had a more significant influence on the CO2 chemical absorption. The KGa in the MTMCR was more than 200 times of that in the randomly packed bed under the similar operating conditions. The local mass transfer rate of chemical absorption was one order of magnitude higher than that of physical absorption. This research work could lay a theoretical foundation for the simulation of the complex gas–liquid systems including the chemical absorption by CFD method.

Promoted alkanolamine solutions with amino acid L-arginine for post-combustion CO2 capture in a micro-reactor

With the aim of replacing amine solvents, in the current study, the novel mixture solutions were proposed for CO2 absorption combining amino acid (L-Arginine) with primary, secondary, and tertiary alkanolamines. The mass transfer performance of CO2 capture in the aqueous solutions of MEA-ARG, DEA-ARG, and MDEA-ARG was intensified under operational conditions of 4–12 wt% arginine concentration, 120–300 mL/min feed solvent flow rate, 3–9 mL/min inlet gas flow rate. In this regard, a T-shape micro-reactor with a diameter of 800 μ and a length of 29.5 cm was utilized. All the experiments were performed under the atmospheric pressure and absorption temperature of 45 °C. Considering industrial restrictions, the total concentration of mixtures was kept constant at 25 wt% for MEA-ARG, 35 wt% for DEA-ARG, and 50 wt% for MDEA-ARG. The results of CO2 absorption efficiency (ef), overall volumetric mass transfer coefficient, OVGMTC, (KGaV), and volumetric mass transfer flux (NAaV) indicated that in all three cases, the aqueous MEA-ARG solution has the highest value of 96%, 90.95 kmol/m3.h.kPa, and 361.82 kmol/h.m3, respectively. Also, while the gas and liquid flow rates were kept constant in their middle points, adding arginine from 4 to 12 wt% enhanced the values of the ef from 92.55% to 93.76% for DEA-ARG and from 79.20% to 93.23% for MDEA-ARG solutions, respectively. However, the results were obtained differently for solution MEA-ARG.

Extraction of Flavonoids from Merremia mammosa Using Ethanol Solvent in a Fixed-Bed Column

This research aims to investigate the best operating condition for the extraction process of flavonoids from Merremia mammosa root by determining the mass transfer coefficient (Ke). The root was prepared by drying, crushing, and sieving into a homogeneous size and then extracted in a fixed-bed column using 70 wt% of ethanol as a solvent for 2 hours. The obtained samples were then analyzed every 30 min using high-performance liquid chromatography. The parameters investigated in this research were particle size of 1.275, 1.85, and 4.01 mm and solvent flow rate of 3, 6, and 9 mL/s. Based on the experimental data, the value of Ke was calculated using the Hooke-Jeeves numerical method of optimization. The results showed that the decrease in particle size and the increase in solvent flow rate could increase the Ke values, leading to the high concentration of flavonoids extracted using the solvent. The Ke values obtained in this research ranged from 0.3145 m/s to 0.7880 m/s. The empirical equation that shows the correlation between Ke and the parameters can be expressed as Sh = 1.10 × 1014 Re0.0564 (1 − ε)0.8718 with a relative error of 6.13% compared with the experimental data (Sh is the Sherwood number, Re is the Reynolds number, and ε is the porosity of the fixed-bed column).

High-Throughput Nano-DESI Mass Spectrometry Imaging of Biological Tissues Using an Integrated Microfluidic Probe.

Nanospray desorption electrospray mass spectrometry imaging (nano-DESI MSI) enables quantitative mapping of hundreds of molecules in biological samples with minimal sample pretreatment. We have recently developed an integrated microfluidic probe (iMFP) for nano-DESI MSI. Herein, we describe an improved design of the iMFP for the high-throughput imaging of tissue sections. We increased the dimensions of the primary and spray channels and optimized the spray voltage and solvent flow rate to obtain a stable operation of the iMFP at both low and high scan rates. We observe that the sensitivity, molecular coverage, and spatial resolution obtained using the iMFP do not change to a significant extent as the scan rate increases. Using a scan rate of 0.4 mm/s, we obtained high-quality images of mouse uterine tissue sections (scan area: 3.2 mm × 2.3 mm) in only 9.5 min and of mouse brain tissue (scan area: 7.0 mm × 5.4 mm) in 21.7 min, which corresponds to a 10-15-fold improvement in the experimental throughput. We have also developed a quantitative metric for evaluating the quality of ion images obtained at different scan rates. Using this metric, we demonstrate that the quality of nano-DESI MSI data does not degrade substantially with an increase in the scan rate. The ability to image biological tissues with high throughput using iMFP-based nano-DESI MSI will substantially speed up tissue mapping efforts.

Investigation on the binary ionization choices for large conjugated amines during electrospray ionization.

Generally, amines form protonated cations ([M + H]+ ) in positive polarity during electrospray ionization (ESI). However, it was found that large conjugated amines (LCAs) had binary ionization choices of generating either radical cations (M•+ ) or [M + H]+ during ESI. Investigation on the mechanism would further our understanding of ESI. In this work, the binary ionization behavior of LCAs was reported and studied. Internal factors (functional groups and sizes of conjugated systems) and external factors (solvent type, flow rate, and electrode position) were systematically investigated and discussed. For the internal factors, electron-donating groups and large conjugated structures of LCAs were conducive to the generation of M•+ . For the external factors, aprotic solvent, higher flow rate, and shorter distance from the electrode to the spray cone facilitated the formation of M•+ but hampered the generation of [M + H]+ . The present study illustrated that the formations of M•+ and [M + H]+ for LCAs were two independent processes. The M•+ cations of LCAs were formed on the surface of the electrode through electrochemical oxidation, whereas the [M + H]+ cations were generated following the typical ESI evolution process. By regulating the external factors, the ionization results of LCAs could be well modulated.

Application of Response Surface Methodology to Optimize Solid-Phase Extraction of Benzoic Acid and Sorbic Acid from Food Drinks.

An experimental design was applied for the optimization of the extraction process of two preservatives, benzoic and sorbic acids (BA, SA), from food drinks. A simple, rapid, and reliable solid-phase extraction (SPE) method for the simultaneous extraction of these two preservatives and their determination by liquid chromatography with a diode array detector was considered. Box–Behnken design (BBD) was applied to both steps of the SPE process: (i) the sample percolation to ensure the retention of the totality of the acids by the silica-based C18 sorbent; (ii) the elution step to ensure desorption of the totality of the acids from the cartridge. Thus, the volume, pH, and flow rate of the sample, and the percentage of MeOH, volume, and flow rate of the elution solvent, were optimized. Sample volume and pH have a significant influence (p < 0.0001 and p = 0.0115) on the percolation yield. However, no effect was recorded for the flow rate (p > 0.05). Flow rate also has no significant effect on the elution efficiency. The proposed new solid-phase extraction method, which can be easily applied to routine monitoring of preservatives BA and SA in juice and soft drink samples, included 0.5 g of C18 sorbent, 1 mL of food drink adjusted to pH 1 and percolated at 4.5 mL min−1, and 1 mL of a solvent mixture composed of methanol/acidified water (pH = 2.6) (90:10, v/v) used in the elution step at a flow rate of 4.5 mL min−1. Validation of the SPE method and the technique of analysis were evaluated, namely, the accuracy, precision, detection, and quantification limits and linearity. Recovery percentages of benzoic and sorbic acids were above 95% with relative standard deviations lower than 1.78%. Detection and quantification limits were 0.177 and 0.592 µg mL−1, and 0.502 and 0.873 µg mL−1 for benzoic acid and sorbic acid respectively. Optimal conditions were applied to commercial fruit juices and soft drinks and a minimal matrix effect was observed. This method was compared with other SPE methods using oxidized activated carbon and multiwalled carbon nanotubes as adsorbents. The yields determined with these last two were low compared to those determined with our method.

The influence of random packed column parameters on the liquid holdup and interfacial area

AbstractCarbon dioxide capture via solvent absorption in packed columns has emerged as a potential technology to mitigate coal‐fired power plant CO2 emissions. Parameters, including packing types, solvent properties, and operating conditions, could potentially affect the packed column CO2 capture efficiency. To understand the importance of those parameters and help packed column optimization, a design of experiments (DoEs) method was proposed to generate input parameter matrix. Combined with multiphase computational fluid dynamics (CFD), the random packed column parameter influence on the liquid holdup and interfacial area can be efficiently investigated. Surrogate‐based sensitivity analysis shows that the solvent flow rate and contact angle are key factors dictating liquid holdup and interfacial area. On the other hand, solvent viscosity has a marginal impact on the interfacial area. The sensitivity scores were calculated for each input parameter to guide the selection of dimensionless numbers for the liquid holdup and interfacial area correlation development.

Solvent and Flow Rate Effects on the Observed Compositional Profiles and the Relative Intensities of Radical and Protonated Species in Atmospheric Pressure Photoionization Mass Spectrometry.

Sample preparation and instrument parameters have regularly been demonstrated to impact upon the observed results in atmospheric pressure photoionization, mass spectrometry (MS), and analytical techniques in general but may be overlooked when such methods are applied to the characterization of real-world samples. An initial investigation into different solvent systems demonstrated that the inclusion of ethyl acetate inverted the ratio of relative intensities of radical and protonated species (R/P). Design of experiments was performed and indicated that the injection flow rate is also a significant factor. The impact of the solvent system and flow rate on signal intensity, the observed compositional profile, and R/P of selected molecular groups is demonstrated further. An inversion of R/P is observed at higher flow rates in solvent systems commonly used in petroleomics studies, effecting a loss of molecular speciation. The findings presented reiterate the critical importance in considering experimental parameters when interpreting the results of analytical procedures.

Preparation and characterization of CL-20/NTO/Estane5703 composite microspheres by spray drying

CL-20/3-nitryl-1,2,4-triazole-5-one (NTO)/Estane5703 composite microspheres were prepared by a spray drying process using different processing parameters, which included the following four influencing factors: solvent type, inlet temperature, solution concentration, and flow rate of the feed solution. Scanning electron microscopy (SEM) was used to characterize the nanocomposites. The effects of the processing parameters on the morphology of the samples were investigated and discussed. X-ray diffraction (XRD) and differential scanning calorimetry were used to characterize the properties of the materials. The XRD results show that the diffraction peaks of the composite particle correspond to β-Cl-20 and NTO. The mechanical sensitivity of the microspheres was measured and analyzed. The SEM results indicated that optimal morphology was achieved when the dry gas inlet temperature, the solution concentration, and the flow rate of the feed solution were 80 °C, 10 mg ml−1, and 1.5 ml min−1, respectively, and the best solution is ethyl acetate. The thermal analysis exhibited the improved thermal stability of CL-20 in composite microspheres, whereas the impact sensitivity tests showed the enhancement of their mechanical properties. Therefore, the proposed method is an effective means of fabricating composite microspheres.

Intensification of supercritical fluid in the extraction of flavonoids: A comprehensive review

The utilization of highly toxic, expensive, and eco-unfriendly organic solvents for the extraction process has been replaced by carbon dioxide (CO2) in its supercritical state. The most significant advantage of supercritical CO2 extraction is after the extraction process there was no trace amount of solvent present in extracted compounds since the residual CO2 can be easily depressurized and vented. Supercritical CO2 attracts interest because of its high compressibility, non-toxic, non-flammable, and physiological compatibility. This insight is a compilation of research works related to flavonoids extraction using a supercritical fluid. The significant parameters that affect the extraction process are temperature, pressure, solvent flow rate, and extraction time. These are the adjustable parameters that were optimized predominantly to improve the yield of the flavonoids extraction. The density of supercritical CO2 is attained by tuning temperature and pressure. The addition of co-solvents enhances the extraction of polar compounds. The residence time of CO2 in the extractor should be sufficient such that the solute reaches the saturation conditions in the fluid phase. This review article will give immense knowledge on the insights about the parameter that needs to be determined to scale up the extraction process.

Effectively Increasing Pt Utilization Efficiency of the Membrane Electrode Assembly in Proton Exchange Membrane Fuel Cells through Multiparameter Optimization Guided by Machine Learning.

Although proton exchange membrane fuel cells have received attention, the high costs associated with Pt-based catalysts in membrane electrode assemblies (MEAs) remain a huge obstacle for large-scale applications. To solve this urgent problem, the utilization efficiency of Pt in MEAs must be increased. Facing numerous interacting parameters in an attempt to keep experimental costs as low as possible, we innovatively introduce machine learning (ML) to achieve this goal. Nine different ML algorithms are trained on the experimental dataset from our laboratory to precisely predict the performance and Pt utilization (maximum R2 = 0.973/0.968). To determine the best synthesis conditions, black-box interpretation methods are applied to provide reliable insights from both qualitative and quantitative perspectives. The optimized choices of ionomer/catalyst ratio, water content, organic solvent, catalyst loading, stirring method, solid content, and ultrasonic spraying flow rate are properly made with few experimental attempts under ML results' guidance. Promising Pt utilization of 0.147 gPt kW-1 and a power density of 1.02 W cm-2 are achieved at 0.6 V in a single cell (H2/air) at an ultralow total loading of 0.15 mg Pt cm-2. Therefore, this work contributes to the economy of hydrogen energy by paving the way for MEA optimization with complex parameters by ML.

Titanium Dioxide Nanotubes as Solid-Phase Extraction Adsorbent for the Determination of Copper in Natural Water Samples.

To increase the sensitivity of the analysis method of good copper sample preparation is essential. In this context, an analytical method was developed for sensitive determination of Cu (II) in environmental water samples by using TiO2 nanotubes as a solid-phase extraction absorbent (SPE). Factors affecting the extraction efficiency including the type, volume, concentration, and flow rate of the elution solvent, the mass of the adsorbent, and the volume, pH, and flow rate of the sample were evaluated and optimized. TiO2 nanotubes exhibited their good enrichment capacity for Cu (II) (~98%). Under optimal conditions, the method of the analysis showed good linearity in the range of 0–22 mg L−1 (R2 > 0.99), satisfactory repeatability (relative standard deviation: RSD was 3.16, n = 5), and a detection limit of about 32.5 ng mL−1. The proposed method was applied to real water samples, and the achieved recoveries were above 95%, showing minimal matrix effect and the robustness of the optimized SPE method.

Enhancement of CO2 removal by promoted MDEA solution in a hollow fiber membrane contactor: A numerical and experimental study

In this work, carbon dioxide (CO2) loading capacity of methyldiethanolamine (MDEA) solution promoted by potassium lysinate (KLys) was experimentally measured by using a gas absorption setup at different concentrations and temperatures. The CO2 removal efficiency of the MDEA + KLys solution was investigated for a CO2/N2 gas mixture by using computational fluid dynamic (CFD) simulations in a hollow fiber membrane contactor (HFMC). The effects of operating conditions including solvent concentration, solvent flow rate, gas flow rate, inlet CO2 concentration and module length on the CO2 removal efficiency were also studied. The experimental results revealed that CO2 loading capacity increases with increasing KLys concentration in the solution, while decreases as temperature increases. The simulation results indicated that MDEA + KLys solution has higher CO2 removal efficiency compared to pristine MDEA and MEA solutions. The CO2 removal efficiency increases with increasing solvent concentration, solvent flow rate and module length, whereas decreases as gas flow rate increases. The zeolitic imidazolate framework-8 (ZIF-8), as sorbent, was then incorporated into the MDEA + KLys solution and its effect on the CO2 removal efficiency was also examined. The MDEA + KLys + ZIF-8 nano-absorbent showed higher CO2 removal efficiency than that of MDEA + KLys absorbent, where introducing 0.4 wt.% ZIF-8 enhanced CO2 removal from ⁓96% to ⁓99%. The results of this work suggest that both MDEA + KLys absorbent and MDEA + KLys + ZIF-8 nano-absorbent are promising candidates for CO2 absorption processes. However, for practical use as well as a complete investigation, their behavior should be assessed by using other parameters of solvent such as reactivity with CO2, corrosion rate, and regeneration performance.

Investigation of equilibrium CO2 solubility in 35 wt% aqueous 1-(2-aminoethyl) piperazine (AEP) and performance study over monoethanolamine for CO2 absorption

The present study investigates the CO2 absorption capacity of 1-2-(aminoethyl)piperazine (AEP) as a potential solvent for post combustion CO2 capture. The CO2 absorption performance has been evaluated in terms of Equilibrium CO2 solubility at varied temperature and pressure range. The CO2 solubility measurement was conducted using high pressure stirred autoclave reactor within the temperature and Pressure range of (308.15–328.15) and (2–200) kPa respectively. The equilibrium CO2 solubility data are further correlated using semi-empirical model and equilibrium based Modified Kent-Eisenberg model which shows a better agreement with the generated experimental data. In addition to this, a comprehensive parametric study was also carried out in Aspen-Plus Platform to evaluate the performance of proposed solvent over conventional solvent monoethanolamine (MEA). Influence of various important operating parameters such as flow rates of solvent and Gas medium, amine concentration, solvent inlet temperature and (L/G) ratio on the % CO2 removal was studied.

Sensitivity study of input parameters in the industrial low density polyethylene tubular reactor

Low-density polyethylene (LDPE) is one of the most widely used polymers in the world, and is produced in either tubular or autoclave reactors. As the LDPE industry turn into more competitive and its profit margins become tighter, manufacturers have to develop solutions to debottleneck the reactor output while abiding to the stringent product specification. As such, optimization offer the best option for reactor debottlenecking approach. However, since the LDPE polymerization in a tubular rector is an intrinsic nonlinear process, certain parameters need to be studied before it can be assigned as optimized variables in the optimization study. If these parameters are not properly identified, the optimization study might result in extra complicated sets of unresolvable solutions. Therefore, a model sensitivity study needs to be carried out to identify the most significant parameters that affect the performance of LDPE process in tubular reactor. An LDPE tubular reactor model was developed and validated with industrial data prior to the sensitivity study. Coefficient of determination (R2) equivalent to 0.991 and 0.989 were obtained for the reactor temperature and the monomer conversion profiles, respectively. The comparison of the product properties at the reactor end also showed a satisfactory agreement where a low percentage of error in the range of 0 to 0.39% was obtained. Based on the sensitivity studies, monomer flow rate, initiator flow rate and solvent flow rate were identified to give significant effect to the performance of LDPE process in tubular reactor. Improvement in product quality measurement and kinetic rate constant parameters were highlighted as the novelty of the present study.

Kinetic modeling and simulation study for a sequential electrochemical extractive crude diesel desulfurization

• A second order rate equation has been proposed for electrochemical desulfurization process. • A sequential electrochemical extractive of crude diesel desulfurization is modeled. • Dimethyl sulfoxide is selected as potent solvent for extraction process. • An optimization is performed to maximize extraction efficiency, oil and solvent recoveries. To reduce the sulfur content of crude diesel, several sets of experiments have been conducted using electrochemical oxidative desulfurization technique using electrolyte of NaOH at different applied voltages. Due to impacts of operating parameters on desulfurization, kinetic study is pursued and it is found that the kinetic follows a second order reaction rate with a high accuracy. The reaction of desulfurization was modeled using COMSOL and followed by coupled electrochemical oxidation-extraction, while the extraction process was particularly performed using process simulator. The effects of different solvents on extraction performance were studied and dimethyl sulfoxide was selected for further investigation. Sensitivity of operating and design parameters of solvent flow rate, operating pressure and the number of extraction stage were analyzed by adding new terms into consideration. The new terms of extraction efficiency, oil and solvent recoveries were calculated for each case. The sensitivity analysis showed that low solvent flow leads to high extraction efficiency, while low solvent recovery is obtained. Increasing the number of extraction stages resulted in a higher extraction efficiency and solvent recovery. To find the optimal condition, a multi-objective optimization for extraction process is applied by maximizing extraction efficiency, oil and solvent recoveries at different operating and design conditions. The optimal values were operating pressure of 4 bar, solvent flow rate of 80 kmol/h and ten extraction stages.

Multi-parallel microfluidic recrystallization and characterization of explosives

A multi-parallel recrystallization system based on microfluidic technology was established for rapid recrystallization-condition screening and small-batch preparation of high-quality explosives. The system employs a T-shaped tree chip and four parallel oscillating flow microreactors to scale up the microfluidic system and to realize multi-channel explosive preparation. Explosive 2,6-diamino-3,5-dinitropyrazine-1-oxide (LLM-105) was used to study the ability of the multi-parallel recrystallization system in the screening of recrystallization conditions including solvent types, the ratio of anti-solvent flow rate to solvent flow rate, and surfactant types. Results show that the system can effectively screen the preparation conditions of LLM-105 and simultaneously prepare 2,2′,4,4′,6,6′-hexanitrostilbene (HNS), 1,3,5-trinitroperhydro-1,3,5-triazine (RDX), and octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine (HMX) with high-quality crystal morphology.

Bioconversion of chemically captured carbon dioxide into microalgal lipids, a potential source of biodiesel: An integrated technique

The rise of atmospheric carbon dioxide (CO2) concentration due to extensive anthropogenic activity besides rapid exhaustion of non-renewable energy sources demands evolution of clean and ecofriendly alternative fuel source. Recently, lipid rich microalgal biomass is being considerably researched for generation of biodiesel conversely, the expenses incurred on production of microalgal biomass is a substantial obstacle. Almost 80 % of the production cost is generated from the cultivation medium which majorly consists of carbon, nitrogen and phosphate. CO2 absorption by means of aqueous amine solvents is known to be a mature technology and could be integrated with microalgal cultivation unit for efficient utilization of the captured CO2. In this current investigation, piperazine (PZ) promoted aqueous blend of methyldiethanolamine (MDEA) having mass percentage ratio of (8/22 wt%) was used a CO2 capturing agent and then the captured CO2 was utilized as an inorganic carbon source for growing Chlorella sorokiniana BTA 9031 for biodiesel production. The CO2 absorption rate was governed by series of process variables namely, absorption temperature, initial CO2 concentration, solvent flow rate, gas flow rate and the optimal conditions were 315 K, 15 kPa, 3.6 × 10−4 m3 min−1 and 4 × 10−3 m3 min−1 respectively. The highest biomass strength of Chlorella sorokiniana BTA 9031 was observed to be 1.20 ± 0.028 g L−1. The fatty acid methyl esters (FAME) profile was determined after acid transesterification of the extracted microalgal lipids. It was observed to contain fatty acids suitable for biodiesel production.