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Su X, Wang M, Yuan R, Guo L, Han Y, Huang C, Li A, Kaplan DL, Wang X. Organoids in Dynamic Culture: Microfluidics and 3D Printing Technologies. ACS Biomater Sci Eng 2025. [PMID: 40248908 DOI: 10.1021/acsbiomaterials.4c02245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2025]
Abstract
With the rapid advancement of biomaterials and tissue engineering technologies, organoid research and its applications have made significant strides. Organoids are increasingly utilized in pharmacology, regenerative medicine, and precision clinical medicine. Current trends in organoid research are moving toward multifunctional composite three-dimensional cultivation and dynamic cultivation strategies. Key technologies driving this evolution, including 3D printing and microfluidics, continue to impact new areas of discovery and clinical relevance. This review provides a systematic overview of these emerging trends, discussing the strengths and limitations of these critical technologies and offering insight and research directions for professionals working in the organoid field.
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Affiliation(s)
- Xin Su
- College of Basic Medical Sciences, Dalian Medical University, Dalian, China 116044
| | - Mingqi Wang
- College of Basic Medical Sciences, Dalian Medical University, Dalian, China 116044
| | - Ruqiang Yuan
- College of Basic Medical Sciences, Dalian Medical University, Dalian, China 116044
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China 116044
| | - Lina Guo
- College of Basic Medical Sciences, Dalian Medical University, Dalian, China 116044
| | - Yinhe Han
- College of Basic Medical Sciences, Dalian Medical University, Dalian, China 116044
| | - Chun Huang
- College of Basic Medical Sciences, Dalian Medical University, Dalian, China 116044
| | - Ang Li
- College of Basic Medical Sciences, Dalian Medical University, Dalian, China 116044
| | - David L Kaplan
- Department of Biomedical Engineering, Tufts University, Medford, Massachusetts 02155, United States
| | - Xiuli Wang
- College of Basic Medical Sciences, Dalian Medical University, Dalian, China 116044
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Zia AB, Foulds IG. Automated Dynamic Inlet Microfluidics (ADIM) system: cost-effective biaxial nanoliter droplet on demand generation platform and its application in agglutination assays. LAB ON A CHIP 2024; 25:57-68. [PMID: 39606937 DOI: 10.1039/d4lc00643g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2024]
Abstract
The paper demonstrates an adaptation of a Prusa Mini+ 3D printer through the integration of 3D printed modules, creating a system capable of producing varied droplets from multiple Eppendorf tubes. Building upon our previous model, this system enhances calibration methodology enabling any fused deposition modeling (FDM) printer to produce mono-disperse droplets (coefficient of variance (CV%) <2% for train of 100 droplets) with 6900 assays per hour rate. The cost of the developed system is 85% lower than that of existing droplet generation solutions on the market, and 30% more economical than the previous iteration of the system. Additionally, the system's utility in quantification of agglutination assays is highlighted using image analysis, capable of distinguishing between agglutinated and non-agglutinated samples. By offering significant savings and ease of use, this system aims to lower the barriers to entry for microfluidic research, potentially broadening the scope of scientific exploration and application in this field.
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Affiliation(s)
- Abdul Basit Zia
- School of Engineering, The University of British Columbia, Okanagan Campus, Kelowna, BC, Canada.
| | - Ian G Foulds
- School of Engineering, The University of British Columbia, Okanagan Campus, Kelowna, BC, Canada.
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Karimi K, Fardoost A, Mhatre N, Rajan J, Boisvert D, Javanmard M. A Thorough Review of Emerging Technologies in Micro- and Nanochannel Fabrication: Limitations, Applications, and Comparison. MICROMACHINES 2024; 15:1274. [PMID: 39459148 PMCID: PMC11509582 DOI: 10.3390/mi15101274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 10/18/2024] [Accepted: 10/19/2024] [Indexed: 10/28/2024]
Abstract
In recent years, the field of micro- and nanochannel fabrication has seen significant advancements driven by the need for precision in biomedical, environmental, and industrial applications. This review provides a comprehensive analysis of emerging fabrication technologies, including photolithography, soft lithography, 3D printing, electron-beam lithography (EBL), wet/dry etching, injection molding, focused ion beam (FIB) milling, laser micromachining, and micro-milling. Each of these methods offers unique advantages in terms of scalability, precision, and cost-effectiveness, enabling the creation of highly customized micro- and nanochannel structures. Challenges related to scalability, resolution, and the high cost of traditional techniques are addressed through innovations such as deep reactive ion etching (DRIE) and multipass micro-milling. This paper also explores the application potential of these technologies in areas such as lab-on-a-chip devices, biomedical diagnostics, and energy-efficient cooling systems. With continued research and technological refinement, these methods are poised to significantly impact the future of microfluidic and nanofluidic systems.
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Affiliation(s)
| | | | | | | | | | - Mehdi Javanmard
- Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854, USA; (K.K.); (A.F.); (N.M.); (J.R.); (D.B.)
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Zia AB, Farrell J, Foulds IG. Automated dynamic inlet microfluidics system: 3D printer adaptation for cost-effective, low volume, on-demand multi-analyte droplet generator. LAB ON A CHIP 2024; 24:3015-3026. [PMID: 38745471 DOI: 10.1039/d4lc00075g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
The paper demonstrates an adaptation of a 3D printer (Prusa Mini+) with novel modules to develop a droplet generation system that generates combinatorial droplets from a standard 96 well plate. The calibration methodology developed would allow any fused deposition modeling (FDM) printer to generate monodisperse droplets (coefficient of variance (CV%) < 5%) from well plates or vials of any geometry. The system maintains precision across various volumes while maintaining a C.V. range of 0.81% to 3.61%, with an increased precision for larger volumes. The cost of the system developed is 70% less than commercially available droplet generation packages. Successful droplet library storage is accomplished via 3D printed cartridge connectors. The implemented system has been calibrated for Tygon® and PTFE at different velocities and volumetric configurations.
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Affiliation(s)
- Abdul Basit Zia
- School of Engineering, The University of British Columbia, Okanagan Campus, Kelowna, BC, Canada.
| | - Justin Farrell
- School of Engineering, The University of British Columbia, Okanagan Campus, Kelowna, BC, Canada.
| | - Ian G Foulds
- School of Engineering, The University of British Columbia, Okanagan Campus, Kelowna, BC, Canada.
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Jiang Z, Zhuang Y, Guo S, Sohan ASMMF, Yin B. Advances in Microfluidics Techniques for Rapid Detection of Pesticide Residues in Food. Foods 2023; 12:2868. [PMID: 37569137 PMCID: PMC10417549 DOI: 10.3390/foods12152868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
Food safety is a significant issue that affects people worldwide and is tied to their lives and health. The issue of pesticide residues in food is just one of many issues related to food safety, which leave residues in crops and are transferred through the food chain to human consumption. Foods contaminated with pesticide residues pose a serious risk to human health, including carcinogenicity, neurotoxicity, and endocrine disruption. Although traditional methods, including gas chromatography, high-performance liquid chromatography, chromatography, and mass spectrometry, can be used to achieve a quantitative analysis of pesticide residues, the disadvantages of these techniques, such as being time-consuming and costly and requiring specialist staff, limit their application. Therefore, there is a need to develop rapid, effective, and sensitive equipment for the quantitative analysis of pesticide residues in food. Microfluidics is rapidly emerging in a number of fields due to its outstanding strengths. This paper summarizes the application of microfluidic techniques to pyrethroid, carbamate, organochlorine, and organophosphate pesticides, as well as to commercial products. Meanwhile, the study also outlines the development of microfluidics in combination with 3D printing technology and nanomaterials for detecting pesticide residues in food.
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Affiliation(s)
- Zhuoao Jiang
- School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China; (Z.J.); (Y.Z.); (S.G.)
| | - Yu Zhuang
- School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China; (Z.J.); (Y.Z.); (S.G.)
| | - Shentian Guo
- School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China; (Z.J.); (Y.Z.); (S.G.)
| | - A. S. M. Muhtasim Fuad Sohan
- Faculty of Engineering, Department of Mechanical Engineering, The University of Adelaide, Adelaide, SA 5000, Australia;
| | - Binfeng Yin
- School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China; (Z.J.); (Y.Z.); (S.G.)
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Nam SW, Jeon DG, Yoon YR, Lee GH, Chang Y, Won DI. Hemagglutination Assay via Optical Density Characterization in 3D Microtrap Chips. BIOSENSORS 2023; 13:733. [PMID: 37504130 PMCID: PMC10377501 DOI: 10.3390/bios13070733] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 07/12/2023] [Accepted: 07/12/2023] [Indexed: 07/29/2023]
Abstract
Hemagglutination assay has been used for blood typing and detecting viruses, thus applicable for the diagnosis of infectious diseases, including COVID-19. Therefore, the development of microfluidic devices for fast detection of hemagglutination is on-demand for point-of-care diagnosis. Here, we present a way to detect hemagglutination in 3D microfluidic devices via optical absorbance (optical density, OD) characterization. 3D printing is a powerful way to build microfluidic structures for diagnostic devices. However, mixing liquid in microfluidic chips is difficult due to laminar flow, which hampers practical applications such as antigen-antibody mixing. To overcome the issue, we fabricated 3D microfluidic chips with embedded microchannel and microwell structures to induce hemagglutination between red blood cells (RBCs) and antibodies. We named it a 3D microtrap chip. We also established an automated measurement system which is an integral part of diagnostic devices. To do this, we developed a novel way to identify RBC agglutination and non-agglutination via the OD difference. By adapting a 3D-printed aperture to the microtrap chip, we obtained a pure absorbance signal from the microchannels by eliminating the background brightness of the microtrap chip. By investigating the underlying optical physics, we provide a 3D device platform for detecting hemagglutination.
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Affiliation(s)
- Sung-Wook Nam
- Department of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu 41405, Republic of Korea
- DanielBio Research Center, Daegu 42694, Republic of Korea
- Bio-Medical Research Institute, Kyungpook National University Hospital, Daegu 41940, Republic of Korea
| | - Dong-Gyu Jeon
- Department of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu 41405, Republic of Korea
- Cell & Matrix Research Institute, Kyungpook National University, Daegu 41944, Republic of Korea
| | - Young-Ran Yoon
- Department of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu 41405, Republic of Korea
| | - Gang Ho Lee
- Department of Chemistry, College of Natural Sciences, Kyungpook National University, Daegu 41566, Republic of Korea
| | - Yongmin Chang
- Department of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu 41405, Republic of Korea
| | - Dong Il Won
- Bio-Medical Research Institute, Kyungpook National University Hospital, Daegu 41940, Republic of Korea
- Department of Clinical Pathology, School of Medicine, Kyungpook National University, Daegu 41940, Republic of Korea
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