Materials Today Proceedings, Journal Year: 2023, Volume and Issue: 98, P. 63 - 67
Published: Sept. 16, 2023
Language: Английский
Materials Today Proceedings, Journal Year: 2023, Volume and Issue: 98, P. 63 - 67
Published: Sept. 16, 2023
Language: Английский
Chemical Engineering Journal, Journal Year: 2023, Volume and Issue: 462, P. 142335 - 142335
Published: March 9, 2023
Language: Английский
Citations
16Chemical Engineering Science, Journal Year: 2023, Volume and Issue: 275, P. 118743 - 118743
Published: April 11, 2023
Language: Английский
Citations
10Chemical Engineering and Processing - Process Intensification, Journal Year: 2025, Volume and Issue: unknown, P. 110193 - 110193
Published: Jan. 1, 2025
Language: Английский
Citations
0Microsystems & Nanoengineering, Journal Year: 2025, Volume and Issue: 11(1)
Published: Feb. 28, 2025
Abstract The quantification of immune cell subpopulations in blood is important for the diagnosis, prognosis and management various diseases medical conditions. Flow cytometry currently gold standard technique quantification; however, it laborious, time-consuming relies on bulky/expensive instrumentation, limiting its use to laboratories high-resource settings. Microfluidic cytometers offering enhanced portability have been developed that are capable rapid these platforms involve tedious sample preparation processing protocols and/or require specialized/expensive instrumentation flow control detection. Here, we report an artificial intelligence-enabled microfluidic cytometer CD4 + T whole requiring minimal instrumentation. cells labeled with anti-CD4 antibody-coated microbeads, which driven through a chip via gravity-driven slug flow, enabling pump-free operation. A video flowing recorded using microscope camera, analyzed convolutional neural network-based model trained detect bead-labeled flow. functionality this platform was evaluated by analyzing fingerprick samples obtained from healthy donors, revealed ability quantify similar accuracy as (<10% deviation between both methods) while being at least 4× faster, less expensive, simpler operate. We envision can be readily modified other beads coated different antibodies, making promising tool performing count measurements outside low-resource
Language: Английский
Citations
0Chemical bulletin., Journal Year: 2025, Volume and Issue: 7(3), P. 34 - 48
Published: March 12, 2025
работа посвящена способу получения 4,4’-метилендианилин (МДА) в микроканале. MДA производят промышленных масштабах, основном как предшественник полиуретанов. Также это соединение применяется качестве отвердителя эпоксидных смол, покрытия проводов, а также армированных композитных материалах. Синтез МДА сопровождается высокими колебаниями температурами, ограничивающим фактором выступает скорость массообмена. Данные проблемы может решить микрофлюидика. Микрореактора работают проточном исполнении ламинарном режиме течения. Благодаря небольшому диффузионному пути молекул, распределение концентраций и температуры идет быстро. Это свою очередь повышает выход продукта, улучшает контроль реакции. важно многофазных процессах, где процесс массообмена на границе раздела фаз. Именно микрофлюидика позволяет точно контролировать площадь межфазного взаимодействия, что критично для данных процессов. Однако при синтезе нарастает вязкость за счет образования олигомеров, закупорить микроканал. Проведён численного моделирования, выявивший снарядное течение микроканале, было подтверждено проведении синтеза. Составлен многофакторный эксперимент, необходимый определения оптимальных условий Варьировались такие параметры, температура реакции, соотношение компонентов, время пребывания. Для успешного проведения синтеза использовался дизайн эксперимента. На основании вышеперечисленных параметров, построены двухмерные трёхмерные контурные диаграммы, представляющие из себя математические модели исследуемого процесса. их комбинированию, были установлены оптимальные технологические параметры the work is devoted to method of obtaining 4,4’-methylenedianiline (MDA) in a microchannel. MDA produced on an industrial scale, mainly as precursor polyurethanes. This compound also used hardener for epoxy resins, wire coatings, well reinforced composite materials. The synthesis accompanied by high temperature fluctuations, and limiting factor rate mass transfer. Microfluidics can solve these problems. microreactors operate flow-through design laminar flow mode. Due small diffusion path molecules, distribution concentrations temperatures fast. turn increases yield product, improves reaction control. It important multiphase processes, where transfer process takes place at phase interface. microfluidics that allows precise control area interfacial interaction, which critical processes. However, during MDA, viscosity due formation oligomers, clog A numerical simulation was carried out, revealed projectile microchannel, confirmed synthesis. multifactorial experiment has been compiled, necessary determine optimal conditions. Parameters such temperature, component ratio, residence time varied. successful Based above parameters, two-dimensional three-dimensional contour diagrams are constructed, representing mathematical models under study. their combination, technological parameters were established.
Language: Русский
Citations
0Chemical Engineering Journal Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100739 - 100739
Published: March 1, 2025
Language: Английский
Citations
0Micromachines, Journal Year: 2025, Volume and Issue: 16(4), P. 425 - 425
Published: April 1, 2025
Fiber extractors, as process-intensified equipment, facilitate many applications, such the purification of oils. The development high-fidelity computational models is crucial to optimize design. However, simulating microscale flows around tens thousands microfiber arrays computationally unfeasible. Thus, it necessary identify smaller elements, consisting only a few fibers, that can represent flow within massively arrayed fiber extractors. This study employed fluid dynamics investigate different configurations four-fiber elements achieve this aim. Following previous modeling featuring one fiber, goal was understand how variations in inter-fiber distances affect phase structures corn oil/water mixture, steady-state interfacial surface area per unit volume, and pressure drop along direction. explored various total relative rates contact angles. research characterized semi-restricted annular, noting influence neighboring fibers on complexity. distance played role generating high areas reducing pressure. chaotic nature slug interfaces facilitated intermixing between fibers. Interestingly, specific reached an optimum when 10 50 μm.
Language: Английский
Citations
0Industrial & Engineering Chemistry Research, Journal Year: 2025, Volume and Issue: unknown
Published: April 20, 2025
Language: Английский
Citations
0Chemical Engineering and Processing - Process Intensification, Journal Year: 2025, Volume and Issue: unknown, P. 110310 - 110310
Published: April 1, 2025
Language: Английский
Citations
0Energies, Journal Year: 2021, Volume and Issue: 14(19), P. 6066 - 6066
Published: Sept. 23, 2021
Hydrodynamics plays a major role in transport of heat and mass transfer microchannels. This includes flow patterns regimes which the micro-channels are operated. The have impact properties. Another important aspect is pressure drop micro-channels. In present review, experimental Computational Fluid Dynamics (CFD) studies covering all above aspects been covered. effect geometrical parameters like shape channel, channel size, material construction channels; operating velocity, ratio fluid properties presented analyzed. Experimental analytical work different models has also presented. All literature related to influence on volumetric coefficients (VMTC) (HTC) It found that most works Liquid-Liquid Extraction (LLE) systems carried out slug T-junctions. Models for coupled listed. CFD simulations match results within 20% deviations quantitative qualitative predictions phenomena research articles referred this review. There disparity prediction generalized regime map various would need help Artificial Intelligence.
Language: Английский
Citations
22