A core-annular liquid–liquid microextractor for continuous processing

Yu, Zheng-Xin; Wang, Xi-Lun; Chang, Ya‐Sian; Lin, Chengyan; Chang, Yi-Chih; Chiang, Ya-Yu

doi:10.1016/j.cej.2020.126677

Cited by 8 publications

(4 citation statements)

References 37 publications

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“…The pressure difference (Δ P ) is mainly affected by the pressure drop along the length of the membrane contactor. The pressure drop of the center flow (aqueous solution in this case) can be calculated from the Darcy-Weisbach equation, as shown in eq , where f denotes the Darcy friction factor, ρ is the density of the fluid, and 2 R aq is the diameter of aqueous stream, equal to the diameter of inner tube in our case. On the other hand, the pressure drop of the axial flow in the outer tube (the organic solution in this case) could be expressed as eq . normalΔ P normalf normale normale normald = 1 2 f ρ ( Q a q π R a q 2 ) 2 L 2 R normala normalq normalΔ P normalo normalr normalg = 8 μ o L Q 0 π [ R 4 − R a q 4 − ( R 2 − R a q 2 ) 2 ln true( R R normala normalq …”

Section: Resultsmentioning

confidence: 99%

Continuous Counter-Current Multistage Microextraction in a Novel Tube-In-Tube Microextractor

Chen

Zhou

Xie

et al. 2023

Ind. Eng. Chem. Res.

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Counter-current operation has been widely applied to enhance the extraction efficiency for systems with low distribution coefficients, which was hindered in microextraction because viscous force and surface tension dominate over gravity and inertial force. In this study, a novel design of a tube-in-tube microextractor relying on a poly tetra fluoroethylene membrane to construct a stable interface was proposed to conduct continuous counter-current extraction. Extraction kinetics for two systems with different distribution coefficients, membranes with different pore radii, and three flow rate ratios were measured as a function of residence time. For the system that toluene was used to extract 0.06 wt % phenol in water, 4.1 stages of extraction efficiency were achieved at a residence time of 9.8 min. A challenging case study (50 wt % acetone−water−toluene) was subsequently conducted to prove the high applicability for emulsion systems of this special microextractor. Lastly, a mathematical model was established and the predicted results of three flow rate ratios are in good agreement with experimental results.

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Section: Resultsmentioning

confidence: 99%

Continuous Counter-Current Multistage Microextraction in a Novel Tube-In-Tube Microextractor

Chen

Zhou

Xie

et al. 2023

Ind. Eng. Chem. Res.

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“…In this work, we focus on revealing and controlling the roles of inertia and viscous force in the transition from slug flow to annular flow to achieve immiscible liquid–liquid separation. The separator design is based on the previously published core-annular liquid–liquid microextractor . The separator comprises a glass cavity and a 304 stainless steel helix wire (ID, 1.4 mm; wire diameter, 0.15 mm) and is designed to create an air–liquid–liquid environment.…”

Section: Design Theorymentioning

confidence: 99%

“…This study presents an aqueous–organic–air interface control core-annular separator for biphasic flow separation and two machine learning-based methods for process prediction. A core-annular separator has a simple geometric configuration and can easily maintain a steady-state separation process. , The separator is connected immediately after a droplet reactor. The separator has an adjustable structure to adapt to various interfacial tensions and enables separation processes for the separation of four liquid pairs.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning for Two-Phase Flow Separation in a Liquid–Liquid Interface Manipulation Separator

Chang

Chen

et al. 2023

ACS Appl. Mater. Interfaces

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Two-phase flow separation is a key step in various downstream purification processes. The use of a separator with controllable flow behavior is recommended to avoid contamination. In this study, a core-annular separator for biphasic flow separation with four different chemical polarities was developed, and two machine learning-based methods were proposed for answering two emergent questions to meet real industrial needs. (1) Could complete two-phase separation be achieved under these operating conditions? (2) Could the separation process be accelerated by determining the maximum input flow rate of the water? Process prediction for automation, machine learning-based classifiers, and multilayer perceptron were used to address these questions by predicting successful separation and the maximum input flow rates of unknown water−solvent systems with limited experimental data as training samples. The core-annular separator achieved complete two-phase water−solvent separation at a maximum total input flow rate of 4000 μL min −1 . Moreover, the classification accuracy for complete separation reached 92.2%, and the multilayer perceptron network had the best performance for predicting the flow rate. This liquid−liquid interface manipulation separator and machine learning method could decrease the cost of relevant process development.

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“…This arrangement is instrumental in perpetually propelling the carrier phase and integrating the discrete phase through the modulation of interfacial pressure. A distinctive advantage of this separator is its wire gaps, which are substantially larger than the pores present in separators based on capillary and membrane technologies, enabling the efficient separation of solid-bearing and high-viscosity fluid streams [25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Performance of different microfluidic devices in continuous liquid-liquid separation

Oldach,

Chiang,

Ben-Achour

et al. 2024

J Flow Chem

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Droplet-based microfluidics exhibit numerous benefits leading to relevant innovations and many applications in various fields. The precise handling of droplets in capillaries, including droplet formation, manipulation, and separation, is essential for successful operation. Only a few reports are known concerning the separation of segmented flows, particularly the continuous separation of droplets, which is of high interest regarding the control of biochemical and chemical reactions or other applications where the contact time of the involved phases is crucial. Here, the separation must be flexible and adjusted to different flow parameters, such as the surface tension, the volumetric flow rates, and their ratios. This contribution presents two novel open-source approaches based on additive manufacturing and mechanical deforming for continuous liquid–liquid separation under various flow conditions. The Laplace pressure is the driving force for the separation, which is adjusted to the flow conditions by adapting the distance of pinning points provided by the design of the devices. Details of the device design and experimental setup are shown along with limitations to promote further development and to increase availability for researchers. With the right parameters, sophisticated separations can be realized by inexpensive laboratory equipment and simple control of them. It was found that the distance between the pinning points needs to enlarged for increasing volumetric flow rates and reduced for higher viscosities of the continuous phase respectively higher amounts of the dispersed phase. The open source approach of this article expands the exploration space in addition to commercially available phase separators only available to a selected group of people. Graphical Abstract

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A core-annular liquid–liquid microextractor for continuous processing

Cited by 8 publications

References 37 publications

Continuous Counter-Current Multistage Microextraction in a Novel Tube-In-Tube Microextractor

Continuous Counter-Current Multistage Microextraction in a Novel Tube-In-Tube Microextractor

Machine Learning for Two-Phase Flow Separation in a Liquid–Liquid Interface Manipulation Separator

Performance of different microfluidic devices in continuous liquid-liquid separation

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