A comprehensive review of micro-distillation methods

Yang, Ruey-Jen; Liu, Chan Chiung; Wang, Yao Nan; Hou, Hui Hsiung; Fu, Lung-Ming

doi:10.1016/j.cej.2016.11.041

Cited by 58 publications

(25 citation statements)

References 61 publications

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“…A literature search shows a thorough survey of the fundamental innovative uses of micromixers in biomedical microreactors in recent years [2]. The biomedical uses of micromixers are then portrayed concerning their use especially for (1) test fixation, (2) substance combination, (3) compound response, (4) organic examination, (5) refinement and extraction, (6) polymerization, and (7) emulsion/bead procedures and micro-distillation [3].…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Numerical Simulation of Micromixing of Particles and Fluids with Galloping Cylinder

Abdelmalek

Jamalabadi

2020

Symmetry

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Micromixers are significant segments inside miniaturized scale biomedical frameworks. Numerical investigation of the effects of galloping cylinder characteristics inside a microchannel Newtonian, incompressible fluid in nonstationary condition is performed. Governing equations of the system include the continuity equation, and Navier–Stokes equations are solved within a moving mesh domain. The symmetry of laminar entering the channel is broken by the self-sustained motion of the cylinder. A parameter study on the amplitude and frequency of passive moving cylinder on the mixing of tiny particles in the fluid is performed. The results show a significant increase to the index of mixing uses of the galloping body in biomedical frameworks in the course of micro-electromechanical systems (MEMS) devices.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Numerical Simulation of Micromixing of Particles and Fluids with Galloping Cylinder

Abdelmalek

Jamalabadi

2020

Symmetry

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“…However, different types of modeling have been defined for nonlinear systems. These are usually divided into numerical-mathematical and physical-mathematical modeling [1][2][3], which are the two primary methods for mathematics-based system modeling [4,5]. In practice, mathematical modeling of a distillation column is complicated due to its complexity and lack of information regarding various parameter values.…”

Section: Introductionmentioning

confidence: 99%

A Novel Intelligent ARX-Laguerre Distillation Column Estimation Technique

Piltan¹,

TayebiHaghighi²,

Jowkar³

et al. 2019

IJISA

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In practical applications, modeling of real systems with unknown parameters such as distillation columns are typically complex. To address issues with distillation column estimation, the system is identified by a proposed intelligent, auto-regressive, exogenous-Laguerre (AI-ARX-Laguerre) technique. In this method, an intelligent technique is introduced for data-driven identification of the distillation column. The Laguerre method is used for the removal of input/output noise and decreases the system complexity. The fuzzy logic method is proposed to reduce the system's estimation error and to accurately optimize the ARX-Laguerre parameters. The proposed method outperforms the ARX and ARX-Laguerre technique by achieving average estimation accuracy improvements of 16% and 9%, respectively.

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“…With advances in micro‐electromechanical systems (MEMS) technology, many miniature integrated platforms have been proposed for application in the microfluidics field. Compared to traditional bench top apparatus, microfluidic detection and analysis systems have many advantages, including a lower cost, a greater sensitivity, a faster response time, and a reduced sample and reagent consumption, Consequently, the realization of microfluidic platforms for the manipulation and analysis of biological and chemical samples has attracted significant interest in recent decades .…”

Section: Introductionmentioning

confidence: 99%

Sample preconcentration from dilute solutions on micro/nanofluidic platforms: A review

Hou

Chiu

et al. 2017

Electrophoresis

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Biochemical detection plays a critical role in many analytical fields. For example, blood samples include many proteins with relevance to disease diagnosis and therapeutic monitoring. Foods and beverages contain a large number of chemicals and compounds which must be quantified and characterized to ensure their compliance with safety standards. Detecting trace amounts of contaminants in ambient air or water samples is essential in monitoring the environment and protecting human health. Therefore, effective techniques for performing the rapid and reliable detection of targeted analytes are required. Compared to conventional macroscale devices, microfluidic systems have many advantages, including a greater sensitivity, a faster response time, a reduced sample and reagent consumption, and a greater portability. Accordingly, many microfluidic systems for sample detection have been proposed in recent years. The performance of such devices relies on the target analyte being present in a sufficient concentration to enable its detection. In many biomedical, food testing and environmental applications, the detection limit was restricted. Thus, the sample must first be concentrated before the detection process is carried out. Accordingly, this review provides a comprehensive review of recent advances for sample preconcentration with emphasis on utilizing ion concentration polarization (ICP) effects in micro/nanofluidics platforms. We start with a brief introduction regarding the importance of preconcentration using micro/nanofluidics platforms, followed by in-depth discussions of the ICP effects for the preconcentration and applications to biomedical analysis, food testing and environmental monitoring. Finally, the article concludes with a brief perspective on the future development of the field.

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A comprehensive review of micro-distillation methods

Cited by 58 publications

References 61 publications

RETRACTED: Numerical Simulation of Micromixing of Particles and Fluids with Galloping Cylinder

RETRACTED: Numerical Simulation of Micromixing of Particles and Fluids with Galloping Cylinder

A Novel Intelligent ARX-Laguerre Distillation Column Estimation Technique

Sample preconcentration from dilute solutions on micro/nanofluidic platforms: A review

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