Tunable magnetophoretic method for distinguishing and separating wear debris particles in an Fe‐PDMS‐based microfluidic chip

Zhao, Kai; Wei, Yunman; Zhao, Penglu; Kong, Dejian; Gao, Tianbo; Pan, Xinxiang; Wang, Junsheng

doi:10.1002/elps.202300026

Cited by 5 publications

(3 citation statements)

References 40 publications

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“…Micro/nanomaterials have received the extensive attention in the field of biomedical engineering, such as diagnostics, pharmaceuticals, and therapeutics. Taking advantage of droplet microfluidics to precisely adjust the geometry and tunable properties of particles, [ 200 ] it can provide effective materials for biomedical applications. During the early droplet microfluidic biosensors can be used to monitor biomarkers, [ 201 ] including hormones, metabolites, bacteria, etc.…”

Section: Emerging Applicationmentioning

confidence: 99%

Recent Progress of Droplet Microfluidic Emulsification Based Synthesis of Functional Microparticles

et al. 2023

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The remarkable control function over the functional material formation process enabled by droplet microfluidic emulsification approaches can lead to the efficient and one‐step encapsulation of active substances in microparticles, with the microparticle characteristics well regulated. In comparison to the conventional fabrication methods, droplet microfluidic technology can not only construct microparticles with various shapes, but also provide excellent templates, which enrich and expand the application fields of microparticles. For instance, intersection with disciplines in pharmacy, life sciences, and others, modifying the structure of microspheres and appending functional materials can be completed in the preparation of microparticles. The as‐prepared polymer particles have great potential in a wide range of applications for chemical analysis, heavy metal adsorption, and detection. This review systematically introduces the devices and basic principles of particle preparation using droplet microfluidic technology and discusses the research of functional microparticle formation with high monodispersity, involving a plethora of types including spherical, nonspherical, and Janus type, as well as core–shell, hole–shell, and controllable multicompartment particles. Moreover, this review paper also exhibits a critical analysis of the current status and existing challenges, and outlook of the future development in the emerging fields has been discussed.

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Section: Emerging Applicationmentioning

confidence: 99%

Recent Progress of Droplet Microfluidic Emulsification Based Synthesis of Functional Microparticles

et al. 2023

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“…The magnetic force proportionality constant can be calculating using Equation ( 4), which takes into account the fluid viscosity (𝜂), the particle diameter (𝑑 𝑝 ), the particle velocity components (𝑣 𝑥 and 𝑣 𝑦 ) in the x and y coordinate, respectively, and the difference between particle and fluid density (Δ𝜌) [31]. The addition of gadolinium modifies the fluid viscosity and fluid density according to Equations ( 5) and (6), respectively [16]. The local magnetic field driving force, 𝐒 𝑚, is determined from the measurement of the magnetic microparticle velocity components, corrected for the contributions from the particle gravity and buoyancy forces.…”

Section: Experimental Measurementmentioning

confidence: 99%

Measuring magnetic force field distributions in microfluidic devices: Experimental and numerical approaches

Strayer,

Choe,

et al. 2023

Electrophoresis

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Precisely and accurately determining the magnetic force and its spatial distribution in microfluidic devices is challenging. Typically, magnetic microfluidic devices are designed in a way to both maximize the force within the separation region and to minimize the necessity for knowing such details—such as designing magnetic geometries that create regions of nearly constant magnetic force or that dictate the behavior of the magnetic force to be highly predictable in a specified region. In this work, we present a method to determine the spatial distribution of the magnetic force field in a magnetic microfluidic device by particle tracking magnetophoresis. Polystyrene microparticles were suspended in a paramagnetic fluid, gadolinium, and this suspension was exposed to various magnetic field geometries. Polystyrene particle motion was tracked using a microscope and images processed using Fiji (ImageJ). From a sample with a large spatial distribution of particle tracks, the magnetic force field distribution was calculated. The force field distribution was fitted to nonlinear spatial distribution models. These experimental models are compared to and supported by 3D simulations of the magnetic force field in COMSOL.

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“…Timely detection and maintenance can prolong the lifespan of ship equipment, reducing the need for costly replacements and improving the overall efficiency of the vessel [35,36]. In summary, on-line oil wear debris detection sensors are instrumental in marine engineering for their ability to enhance safety, reduce operational costs, prolong equipment lifespan, and support environmentally responsible practices by efficiently monitoring and managing wear in ship equipment [37,38].…”

Section: Introductionmentioning

confidence: 99%

A Critical Review of On-Line Oil Wear Debris Particle Detection Sensors

Han,

Mu,

Liu

et al. 2023

JMSE

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In the field of marine engineering, the friction and wear experienced by rotating mechanisms are recognized as significant contributors to the failure of marine machinery. In order to enhance the safety and dependability of marine ship operations, the implementation of on-line oil wear debris particle detection sensors enables the on-line monitoring of oil and facilitates the rapid identification of abnormal wear locations. This paper provides a critical review of the recent research progress and development trends in the field of sensors for on-line detection of oil wear debris particles. According to the method of sensor detection, wear debris particle detection sensors can be classified into two distinct categories: electrical and non-electrical sensors. Electrical sensors encompass a range of types, including inductive, capacitive, and resistive sensors. Non-electrical sensors encompass a range of technologies, such as image processing sensors, optical sensors, and ultrasonic sensors. Finally, this review addresses the future research directions for wear debris particle detection sensors in light of the challenging problems currently faced by these sensors.

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Tunable magnetophoretic method for distinguishing and separating wear debris particles in an Fe‐PDMS‐based microfluidic chip

Cited by 5 publications

References 40 publications

Recent Progress of Droplet Microfluidic Emulsification Based Synthesis of Functional Microparticles

Recent Progress of Droplet Microfluidic Emulsification Based Synthesis of Functional Microparticles

Measuring magnetic force field distributions in microfluidic devices: Experimental and numerical approaches

A Critical Review of On-Line Oil Wear Debris Particle Detection Sensors

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