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Mudugamuwa A, Roshan U, Hettiarachchi S, Cha H, Musharaf H, Kang X, Trinh QT, Xia HM, Nguyen NT, Zhang J. Periodic Flows in Microfluidics. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2404685. [PMID: 39246195 DOI: 10.1002/smll.202404685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Revised: 08/24/2024] [Indexed: 09/10/2024]
Abstract
Microfluidics, the science and technology of manipulating fluids in microscale channels, offers numerous advantages, such as low energy consumption, compact device size, precise control, fast reaction, and enhanced portability. These benefits have led to applications in biomedical assays, disease diagnostics, drug discovery, neuroscience, and so on. Fluid flow within microfluidic channels is typically in the laminar flow region, which is characterized by low Reynolds numbers but brings the challenge of efficient mixing of fluids. Periodic flows are time-dependent fluid flows, featuring repetitive patterns that can significantly improve fluid mixing and extend the effective length of microchannels for submicron and nanoparticle manipulation. Besides, periodic flow is crucial in organ-on-a-chip (OoC) for accurately modeling physiological processes, advancing disease understanding, drug development, and personalized medicine. Various techniques for generating periodic flows have been reported, including syringe pumps, peristalsis, and actuation based on electric, magnetic, acoustic, mechanical, pneumatic, and fluidic forces, yet comprehensive reviews on this topic remain limited. This paper aims to provide a comprehensive review of periodic flows in microfluidics, from fundamental mechanisms to generation techniques and applications. The challenges and future perspectives are also discussed to exploit the potential of periodic flows in microfluidics.
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Affiliation(s)
- Amith Mudugamuwa
- Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, 4111, Australia
| | - Uditha Roshan
- Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, 4111, Australia
| | - Samith Hettiarachchi
- Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, 4111, Australia
| | - Haotian Cha
- Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, 4111, Australia
| | - Hafiz Musharaf
- Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, 4111, Australia
| | - Xiaoyue Kang
- Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, 4111, Australia
| | - Quang Thang Trinh
- Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, 4111, Australia
| | - Huan Ming Xia
- School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, P. R. China
| | - Nam-Trung Nguyen
- Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, 4111, Australia
| | - Jun Zhang
- Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, QLD, 4111, Australia
- School of Engineering and Built Environment, Griffith University, Brisbane, QLD, 4111, Australia
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Raju C, Elpa DP, Urban PL. Automation and Computerization of (Bio)sensing Systems. ACS Sens 2024; 9:1033-1048. [PMID: 38363106 PMCID: PMC10964247 DOI: 10.1021/acssensors.3c01887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 12/21/2023] [Accepted: 01/29/2024] [Indexed: 02/17/2024]
Abstract
Sensing systems necessitate automation to reduce human effort, increase reproducibility, and enable remote sensing. In this perspective, we highlight different types of sensing systems with elements of automation, which are based on flow injection and sequential injection analysis, microfluidics, robotics, and other prototypes addressing specific real-world problems. Finally, we discuss the role of computer technology in sensing systems. Automated flow injection and sequential injection techniques offer precise and efficient sample handling and dependable outcomes. They enable continuous analysis of numerous samples, boosting throughput, and saving time and resources. They enhance safety by minimizing contact with hazardous chemicals. Microfluidic systems are enhanced by automation to enable precise control of parameters and increase of analysis speed. Robotic sampling and sample preparation platforms excel in precise execution of intricate, repetitive tasks such as sample handling, dilution, and transfer. These platforms enhance efficiency by multitasking, use minimal sample volumes, and they seamlessly integrate with analytical instruments. Other sensor prototypes utilize mechanical devices and computer technology to address real-world issues, offering efficient, accurate, and economical real-time solutions for analyte identification and quantification in remote areas. Computer technology is crucial in modern sensing systems, enabling data acquisition, signal processing, real-time analysis, and data storage. Machine learning and artificial intelligence enhance predictions from the sensor data, supporting the Internet of Things with efficient data management.
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Affiliation(s)
- Chamarthi
Maheswar Raju
- Department of Chemistry, National
Tsing Hua University 101, Section 2, Kuang-Fu Rd., Hsinchu 300044, Taiwan
| | - Decibel P. Elpa
- Department of Chemistry, National
Tsing Hua University 101, Section 2, Kuang-Fu Rd., Hsinchu 300044, Taiwan
| | - Pawel L. Urban
- Department of Chemistry, National
Tsing Hua University 101, Section 2, Kuang-Fu Rd., Hsinchu 300044, Taiwan
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Traditional vs. Microfluidic Synthesis of ZnO Nanoparticles. Int J Mol Sci 2023; 24:ijms24031875. [PMID: 36768199 PMCID: PMC9916368 DOI: 10.3390/ijms24031875] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 01/12/2023] [Accepted: 01/16/2023] [Indexed: 01/19/2023] Open
Abstract
Microfluidics provides a precise synthesis of micro-/nanostructures for various applications, including bioengineering and medicine. In this review article, traditional and microfluidic synthesis methods of zinc oxide (ZnO) are compared concerning particle size distribution, morphology, applications, reaction parameters, used reagents, and microfluidic device materials. Challenges of traditional synthesis methods are reviewed in a manner where microfluidic approaches may overcome difficulties related to synthesis precision, bulk materials, and reproducibility.
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Svensson K, Södergren S, Hjort K. Thermally controlled microfluidic back pressure regulator. Sci Rep 2022; 12:569. [PMID: 35022424 PMCID: PMC8755753 DOI: 10.1038/s41598-021-04320-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 12/20/2021] [Indexed: 11/28/2022] Open
Abstract
By using the temperature dependence of viscosity, we introduce a novel type of microfluidic lab-on-a-chip back pressure regulator (BPR) that can be integrated into a micro-total-analysis-system. A BPR is an important component used to gain pressure control and maintain elevated pressures in e.g. chemical extractions, synthesis, and analyses. Such applications have been limited in microfluidics, since the back pressure regularly has been attained by passive restrictors or external large-scale BPRs. Herein, an active microfluidic BPR is presented, consisting of a glass chip with integrated thin-film heaters and thermal sensors. It has no moving parts but a fluid restrictor where the flow resistance is controlled by the change of viscosity with temperature. Performance was evaluated by regulating the upstream pressure of methanol or water using a PID controller. The developed BPR has the smallest reported dead volume of 3 nL and the thermal actuation has time constants of a few seconds. The pressure regulation were reproducible with a precision in the millibar range, limited by the pressure sensor. The time constant of the pressure changes was evaluated and its dependence of the total upstream volume and the compressibility of the liquids is introduced.
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Affiliation(s)
- Karolina Svensson
- Microsystems Technology Division, Centre of Natural Hazard and Disaster Science (CNDS), Uppsala University, Box 35, 751 03, Uppsala, Sweden.
| | - Simon Södergren
- Microsystems Technology Division, Centre of Natural Hazard and Disaster Science (CNDS), Uppsala University, Box 35, 751 03, Uppsala, Sweden
| | - Klas Hjort
- Microsystems Technology Division, Centre of Natural Hazard and Disaster Science (CNDS), Uppsala University, Box 35, 751 03, Uppsala, Sweden.
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Westphal H, Warias R, Weise C, Ragno D, Becker H, Spanka M, Massi A, Gläser R, Schneider C, Belder D. An integrated resource-efficient microfluidic device for parallelised studies of immobilised chiral catalysts in continuous flow via miniaturized LC/MS-analysis. REACT CHEM ENG 2022. [DOI: 10.1039/d2re00153e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Dual-μReactor catalysis screening: a novel method combining multiple miniaturized packed-bed reactors and on-line HPLC/MS-analysis on one single microfluidic device.
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Affiliation(s)
- Hannes Westphal
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103, Germany
| | - Rico Warias
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103, Germany
| | - Chris Weise
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103, Germany
| | - Daniele Ragno
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Luigi Borsari 46, 44121, Italy
| | - Holger Becker
- Institute of Chemical Technology, Leipzig University, Linnéstraße 3, 04103, Germany
| | - Matthias Spanka
- Institute of Organic Chemistry, Leipzig University, Johannisallee 28, 04103, Germany
| | - Alessandro Massi
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Luigi Borsari 46, 44121, Italy
| | - Roger Gläser
- Institute of Chemical Technology, Leipzig University, Linnéstraße 3, 04103, Germany
| | - Christoph Schneider
- Institute of Organic Chemistry, Leipzig University, Johannisallee 28, 04103, Germany
| | - Detlev Belder
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103, Germany
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