Printed Microfluidics

Dixon, Christopher; Lamanna, Julian; Wheeler, Aaron R.

doi:10.1002/adfm.201604824

Cited by 49 publications

(29 citation statements)

References 96 publications

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“…The utilisation of 3D printing to manufacture fluidic devices for the preparation, synthesis and analysis of small volumes of chemical reagents is becoming increasingly prevalent within academic environments. 41 These devices, generically referred to as chemical reactors, or more specifically micro-or millifluidics, labon-a-chip (LOC) or miniaturised total analysis systems (µTAS), are more traditionally manufactured via processes including chemical etching, injection moulding, photolithography, soft lithography, micromachining, hot embossing, thermoforming and laser ablation. 42 Many of these processes fabricate a template or master, typically using polydimethylsiloxane (PDMS) as the moulding material.…”

Section: Chemical Fluidicsmentioning

confidence: 99%

3D printing for chemical, pharmaceutical and biological applications

et al. 2018

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Section: Chemical Fluidicsmentioning

confidence: 99%

3D printing for chemical, pharmaceutical and biological applications

et al. 2018

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“…In addition, microstructures made of PDMS, SU-8 or the like can be directly deposited on a glass or polymer substrate by ink-jet printing or screen printing to form microfluidic chips [56,57], and electrodes can be printed on the surface of the microfluidic chips if conductive ink containing silver nanoparticles is used [58]. The basic processing model of screen printing was shown in Figure 3 [59], and the microchannel and silver electrode based on UV sensitive medium slurry (5018a, DuPont, USA) processed by screen printing method [60]. Moreover, new type of printing method was used on electrodes ( Figure 3C).…”

Section: D/3d Printingmentioning

confidence: 99%

Application of Microfluidic Chip Technology in Food Safety Sensing

Gao

Yan

et al. 2020

Sensors

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Food safety analysis is an important procedure to control food contamination and supervision. It is urgently needed to construct effective methods for on-site, fast, accurate and popular food safety sensing. Among them, microfluidic chip technology exhibits distinguish advantages in detection, including less sample consumption, fast detection, simple operation, multi-functional integration, small size, multiplex detection and portability. In this review, we introduce the classification, material, processing and application of the microfluidic chip in food safety sensing, in order to provide a good guide for food safety monitoring.

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“…Additive manufacturing has enabled the fabrication of new functional materials and structures with unique properties such as mechanical metamaterials, shape‐morphing structures, soft robotics, polymer‐derived ceramics, transparent glass, and biomaterials . However, multimaterial printing demonstrations have largely been limited to structures with binary switching between materials using multiple nozzles, or use nozzles designed for binary switches, leading to abrupt transitions in material properties between regions . 3D printing with functional compositional gradients has more recently emerged, but the gradients have mostly been limited to simple shapes and gradients, or the issue of compositional accuracy has been ignored .…”

Section: Definition Of Circuit Model Variables and Fluidic Analogsmentioning

confidence: 99%

3D Printing of Compositional Gradients Using the Microfluidic Circuit Analogy

Nguyen

Yee

Dudukovic

et al. 2019

Adv Materials Technologies

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multimaterial DIW printer uses two separate ink dispensers joined at a single nozzle junction to simultaneously 3D print two viscoelastic inks through a single nozzle. Some models have been established to help control the printing of viscoelastic inks, but they have not been applicable for use in structures with complex compositional gradients. [18,22,23] As illustrated in Figure 1A, the toolpath of the printer is directly coupled with a desired composition (Φ) in order to determine the dispensing rate of each material. A distinction between the programmed dispensing rate of an ink (Q i ) and the measured flow rate out of the nozzle (Q Ni ) must be made when considering how to obtain an accurate compositional profile. Ideally, the increases and decreases in the measured ink flow rate synchronously follow the programmed dispensing rate. In reality, a number of factors introduce significant differences between the ideal ink dispensing rates and the realized outputs. Achieving accurate compositional 3D printing involving gradient transitions requires that we account for more complex behaviors, such as hydraulic compliance and non-Newtonian ink response, that result in significant differences between the programmed Q i and the realized Q Ni ( Figure 1B). For binary compositional changes within the same component, a combination of ink retraction and over extrusion can be used to account for these nonidealities. [22] For gradient compositional changes, the microfluidic circuit analogy (MCA) can be used to model and inform the ink dispensing profile that is required to achieve accurate compositional control ( Figure 1C).Here, we first describe the MCA model that is used to prescribe the ink-dispensing profile for improved compositional deposition accuracy in 3D-printed geometries with compositional gradients. We outline a calibration procedure to extract the MCA model parameters, which are then used in the MCA model to quantitatively guide the ink-dispensing profile for the desired compositional gradients to be printed. We finally validate the model in a DIW system using viscoelastic polydimethylsiloxane (PDMS) inks with time-dependent compositional changes. The ability to print multiple materials with accurate compositional profiles in a programmable manner enables the fabrication of new functional materials that were previously inaccessible.We use a model based on the microfluidic circuit analogy to determine the correct ink dispensing profiles required for 3D printing of structures with compositional gradients requires accurate dispensing control to achieve desired profiles. Here, empirical data are used with a model based on the microfluidic circuit analogy (MCA) to project dispense rate profiles that yield improved compositional accuracy in the printed part. Since minor variation in the experimental setup for each printing session can result in significant changes, a calibration procedure is developed to measure the system response. This calibration enables the extraction of the empirical MCA model parameters speci...

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Printed Microfluidics

Cited by 49 publications

References 96 publications

3D printing for chemical, pharmaceutical and biological applications

3D printing for chemical, pharmaceutical and biological applications

Application of Microfluidic Chip Technology in Food Safety Sensing

3D Printing of Compositional Gradients Using the Microfluidic Circuit Analogy

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