3D printing-enabled uniform temperature distributions in microfluidic devices

Sanchez, Derek; Hawkins, Garrett; Hinnen, Hunter S.; Day, Alison M.; Nordin, Gregory P.; Munro, Troy

doi:10.1039/d2lc00612j

Cited by 7 publications

(4 citation statements)

References 45 publications

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“…Methods such as photolithography are also expensive in terms of manufacture and maintenance of the working environment and apparatus. Thanks to recent advances in fabrication technology, an increasing number of researchers are making use of high-precision 3D printing or CNC milling to design and test prototypes ( Trinh et al, 2018 ; Sanchez et al, 2022 ). Once the channel design is defined, mass production via injection molding (which allows for a finest possible structure of 10–100 μm) would reduce the price of manufacturing chips or cartridges.…”

Section: All-in-one Systems and Future Perspectivesmentioning

confidence: 99%

Rapid on-site nucleic acid testing: On-chip sample preparation, amplification, and detection, and their integration into all-in-one systems

Wang

Jiang

Pan

et al. 2023

Front. Bioeng. Biotechnol.

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As nucleic acid testing is playing a vital role in increasingly many research fields, the need for rapid on-site testing methods is also increasing. The test procedure often consists of three steps: Sample preparation, amplification, and detection. This review covers recent advances in on-chip methods for each of these three steps and explains the principles underlying related methods. The sample preparation process is further divided into cell lysis and nucleic acid purification, and methods for the integration of these two steps on a single chip are discussed. Under amplification, on-chip studies based on PCR and isothermal amplification are covered. Three isothermal amplification methods reported to have good resistance to PCR inhibitors are selected for discussion due to their potential for use in direct amplification. Chip designs and novel strategies employed to achieve rapid extraction/amplification with satisfactory efficiency are discussed. Four detection methods providing rapid responses (fluorescent, optical, and electrochemical detection methods, plus lateral flow assay) are evaluated for their potential in rapid on-site detection. In the final section, we discuss strategies to improve the speed of the entire procedure and to integrate all three steps onto a single chip; we also comment on recent advances, and on obstacles to reducing the cost of chip manufacture and achieving mass production. We conclude that future trends will focus on effective nucleic acid extraction via combined methods and direct amplification via isothermal methods.

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Section: All-in-one Systems and Future Perspectivesmentioning

confidence: 99%

Rapid on-site nucleic acid testing: On-chip sample preparation, amplification, and detection, and their integration into all-in-one systems

Wang

Jiang

Pan

et al. 2023

Front. Bioeng. Biotechnol.

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show abstract

“…We modified our existing COMSOL model that had been verified previously to represent the current setup of the system [37]. The thermal properties of the chip were from modifications to COMSOL's material library entry for nylon [37], as our previous independent investigation for the thermal conductivity of PEGDA determined the properties are comparable. As the thermal properties of galinstan are not reported in the literature, it was modeled as liquid gallium, its main constituent.…”

Section: Comsol Modelingmentioning

confidence: 99%

“…To overcome this limitation, we followed the process in Ref [36] where the knowledge of temperature at a single point is combined with precise thermal modeling to represent the spatial distribution around that point. Using previous validated COMSOL multiphysics models [37], we modeled the thermal environment of the experimental setup shown in Figures 4a and 5 and determined the temperature distribution within the 3D printed device (Figure 4b). The model was adjusted until the predicted temperature matched the measured temperature of the thermocouple that was located within the device (green dot in Figure 6).…”

Section: Experimental System Data and Associated Imagesmentioning

confidence: 99%

“…COMSOL Multiphysics v5.5 was used to simulate the expected temperature distribution within the microfluidic chip. We modified our existing COMSOL model that had been verified previously to represent the current setup of the system [37]. The thermal properties of the chip were from modifications to COMSOL's material library entry for nylon [37], as our previous independent investigation for the thermal conductivity of PEGDA determined the properties are comparable.…”

Section: Comsol Modelingmentioning

confidence: 99%

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Using Recurrent Neural Networks to Reconstruct Temperatures from Simulated Fluorescent Data for use in Bio-Microfluidics

Kullberg,

Sanchez,

Mitchell

et al. 2023

Preprint

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Many biological systems have a narrow temperature range of operation, meaning high accuracy and spatial distribution level are needed to study these systems. Most temperature sensors cannot meet both the accuracy and spatial distribution required in the microfluidic systems that are often used to study these systems in isolation. This paper introduces a neural network called the Multi-Directional Fluorescent Temperature Long Short-Term Memory Network (MFTLSTM) that can accurately calculate the temperature at every pixel in a fluorescent image to improve upon the standard fitting practice and other machine learning methods use to relate fluorescent data to temperature. This network takes advantage of the nature of heat diffusion in the image to achieve an accuracy of ±0.0199 K RMSE within the temperature range of 298K to 308 K with simulated data. When applied to experimental data from a 3D printed microfluidic device with a temperature range of 290 K to 380 K, it achieved an accuracy of ±0.0684 K RMSE. These results have the potential to allow high temperature resolution in biological systems than is available in many microfluidic devices.

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Using Recurrent Neural Networks to Reconstruct Temperatures from Simulated Fluorescent Data for Use in Bio-microfluidics

Kullberg,

Sanchez,

Mitchell

et al. 2023

Int J Thermophys

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3D printing-enabled uniform temperature distributions in microfluidic devices

Abstract: Many microfluidic processes rely heavily on precise temperature control. Though internally-contained heaters have been developed using traditional fabrication methods, they are limited in their ability to isothermally heat a precisely...

Cited by 7 publications

References 45 publications

Rapid on-site nucleic acid testing: On-chip sample preparation, amplification, and detection, and their integration into all-in-one systems

Rapid on-site nucleic acid testing: On-chip sample preparation, amplification, and detection, and their integration into all-in-one systems

Using Recurrent Neural Networks to Reconstruct Temperatures from Simulated Fluorescent Data for use in Bio-Microfluidics

Using Recurrent Neural Networks to Reconstruct Temperatures from Simulated Fluorescent Data for Use in Bio-microfluidics

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