1
|
Aggarwal D, de Campos RPS, Jemere AB, Bergren AJ, Pekas N. Integration of complementary split-ring resonators into digital microfluidics for manipulation and direct sensing of droplet composition. LAB ON A CHIP 2024; 24:4461-4469. [PMID: 39207247 DOI: 10.1039/d4lc00406j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
This paper demonstrates the integration of complementary split-ring resonators (CSSRs) with digital microfluidics (DMF) sample manipulation for passive, on-chip radio-frequency (RF) sensing. Integration is accomplished by having the DMF and the RF-sensing components share the same ground plane: by designing the RF-resonant openings directly into the ground plane of a DMF device, both droplet motion and sensing are achieved, adding a new on-board detection mode for use in DMF. The system was modelled to determine basic features and to balance various factors that need to be optimized to maintain both functionalities (DMF-enabled droplet movement and RF detection) on the same chip. Simulated and experimental results show good agreement. Using a portable measurement setup, the integrated CSSR sensor was used to effectively identify a series of DMF-generated drops of ethanol-water mixtures of different compositions by measuring the resonant frequency of the CSSR. In addition, we show that a binary solvent system (ethanol/water mixtures) results in consistent changes in the measured spectrum in response to changes in concentration, indicating that the sensor can distinguish not only between pure solvents from each other, but also between mixtures of varied compositions. We anticipate that this system can be refined further to enable additional applications and detection modes for DMF systems and other portable sensing platforms alike. This proof-of-principle study demonstrates that the integrated DMF-CSSR sensor provides a new platform for monitoring and characterization of liquids with high sensitivity and low consumption of materials, and opens the way for new and exciting applications of RF sensing in microfluidics.
Collapse
Affiliation(s)
- Dipesh Aggarwal
- Quantum and Nanotechnologies Research Centre, National Research Council Canada, Edmonton, AB T6G 2M9, Canada.
- Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada
| | | | - Abebaw B Jemere
- Quantum and Nanotechnologies Research Centre, National Research Council Canada, Edmonton, AB T6G 2M9, Canada.
- Department of Chemistry, Queen's University, Kingston, ON, K7L 3N6, Canada
| | - Adam Johan Bergren
- Quantum and Nanotechnologies Research Centre, National Research Council Canada, Edmonton, AB T6G 2M9, Canada.
- Department of Chemistry, University of British Columbia - Okanagan Campus, Kelowna, BC, V1V 1V7, Canada
| | - Nikola Pekas
- Quantum and Nanotechnologies Research Centre, National Research Council Canada, Edmonton, AB T6G 2M9, Canada.
| |
Collapse
|
2
|
Zhang Y. 3D Printing for Cancer Diagnosis: What Unique Advantages Are Gained? ACS MATERIALS AU 2023; 3:620-635. [PMID: 38089653 PMCID: PMC10636786 DOI: 10.1021/acsmaterialsau.3c00046] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 08/19/2023] [Accepted: 08/21/2023] [Indexed: 09/20/2024]
Abstract
Cancer is a complex disease with global significance, necessitating continuous advancements in diagnostics and treatment. 3D printing technology has emerged as a revolutionary tool in cancer diagnostics, offering immense potential in detection and monitoring. Traditional diagnostic methods have limitations in providing molecular and genetic tumor information that is crucial for personalized treatment decisions. Biomarkers have become invaluable in cancer diagnostics, but their detection often requires specialized facilities and resources. 3D printing technology enables the fabrication of customized sensor arrays, enhancing the detection of multiple biomarkers specific to different types of cancer. These 3D-printed arrays offer improved sensitivity, allowing the detection of low levels of biomarkers, even in complex samples. Moreover, their specificity can be fine-tuned, reducing false-positive and false-negative results. The streamlined and cost-effective fabrication process of 3D printing makes these sensor arrays accessible, potentially improving cancer diagnostics on a global scale. By harnessing 3D printing, researchers and clinicians can enhance early detection, monitor treatment response, and improve patient outcomes. The integration of 3D printing in cancer diagnostics holds significant promise for the future of personalized cancer care.
Collapse
Affiliation(s)
- Yu Zhang
- Division
of Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, The University of Texas at Austin, Austin, Texas 78705, United States
- Pharmaceutics
and Drug Delivery, School of Pharmacy, The
University of Mississippi, Oxford, Mississippi 38677-1848, United States
| |
Collapse
|
3
|
Tang Y, Duan F, Zhou A, Kanitthamniyom P, Luo S, Hu X, Jiang X, Vasoo S, Zhang X, Zhang Y. Image-based real-time feedback control of magnetic digital microfluidics by artificial intelligence-empowered rapid object detector for automated in vitro diagnostics. Bioeng Transl Med 2023; 8:e10428. [PMID: 37476053 PMCID: PMC10354763 DOI: 10.1002/btm2.10428] [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: 03/25/2022] [Revised: 09/19/2022] [Accepted: 10/03/2022] [Indexed: 11/12/2022] Open
Abstract
In vitro diagnostics (IVD) plays a critical role in healthcare and public health management. Magnetic digital microfluidics (MDM) perform IVD assays by manipulating droplets on an open substrate with magnetic particles. Automated IVD based on MDM could reduce the risk of accidental exposure to contagious pathogens among healthcare workers. However, it remains challenging to create a fully automated IVD platform based on the MDM technology because of a lack of effective feedback control system to ensure the successful execution of various droplet operations required for IVD. In this work, an artificial intelligence (AI)-empowered MDM platform with image-based real-time feedback control is presented. The AI is trained to recognize droplets and magnetic particles, measure their size, and determine their location and relationship in real time; it shows the ability to rectify failed droplet operations based on the feedback information, a function that is unattainable by conventional MDM platforms, thereby ensuring that the entire IVD process is not interrupted due to the failure of liquid handling. We demonstrate fundamental droplet operations, which include droplet transport, particle extraction, droplet merging and droplet mixing, on the MDM platform and show how the AI rectify failed droplet operations by acting upon the feedback information. Protein quantification and antibiotic resistance detection are performed on this AI-empowered MDM platform, and the results obtained agree well with the benchmarks. We envision that this AI-based feedback approach will be widely adopted not only by MDM but also by other types of digital microfluidic platforms to offer precise and error-free droplet operations for a wide range of automated IVD applications.
Collapse
Affiliation(s)
- Yuxuan Tang
- School of Mechanical and Aerospace EngineeringNanyang Technological UniversitySingaporeSingapore
| | - Fei Duan
- School of Mechanical and Aerospace EngineeringNanyang Technological UniversitySingaporeSingapore
| | - Aiwu Zhou
- Singapore Center for 3D Printing, School of Mechanical and Aerospace EngineeringNanyang Technological UniversitySingaporeSingapore
| | - Pojchanun Kanitthamniyom
- School of Mechanical and Aerospace EngineeringNanyang Technological UniversitySingaporeSingapore
| | - Shaobo Luo
- School of MicroelectronicsSouthern University of Science and TechnologyShenzhenChina
| | - Xuyang Hu
- China‐Singapore International Joint Research InstituteGuangzhouChina
| | - Xudong Jiang
- School of Electronic and Electrical EngineeringNanyang Technological UniversitySingaporeSingapore
| | - Shawn Vasoo
- National Center for Infectious DiseaseTan Tock Seng HospitalSingaporeSingapore
| | - Xiaosheng Zhang
- School of Electronic Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Yi Zhang
- School of Electronic Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina
| |
Collapse
|
4
|
Doganay MT, Chelliah CJ, Tozluyurt A, Hujer AM, Obaro SK, Gurkan U, Patel R, Bonomo RA, Draz M. 3D Printed Materials for Combating Antimicrobial Resistance. MATERIALS TODAY (KIDLINGTON, ENGLAND) 2023; 67:371-398. [PMID: 37790286 PMCID: PMC10545363 DOI: 10.1016/j.mattod.2023.05.030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Three-dimensional (3D) printing is a rapidly growing technology with a significant capacity for translational applications in both biology and medicine. 3D-printed living and non-living materials are being widely tested as a potential replacement for conventional solutions for testing and combating antimicrobial resistance (AMR). The precise control of cells and their microenvironment, while simulating the complexity and dynamics of an in vivo environment, provides an excellent opportunity to advance the modeling and treatment of challenging infections and other health conditions. 3D-printing models the complicated niches of microbes and host-pathogen interactions, and most importantly, how microbes develop resistance to antibiotics. In addition, 3D-printed materials can be applied to testing and delivering antibiotics. Here, we provide an overview of 3D printed materials and biosystems and their biomedical applications, focusing on ever increasing AMR. Recent applications of 3D printing to alleviate the impact of AMR, including developed bioprinted systems, targeted bacterial infections, and tested antibiotics are presented.
Collapse
Affiliation(s)
- Mert Tunca Doganay
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Cyril John Chelliah
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Abdullah Tozluyurt
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Andrea M Hujer
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
- Research Service, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, OH, USA
| | | | - Umut Gurkan
- Mechanical and Aerospace Engineering Department, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, Ohio, USA
| | - Robin Patel
- Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology and Division of Public Health, Infectious Diseases, and Occupational medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Robert A Bonomo
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
- Research Service, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, Cleveland, OH, USA
- Molecular Biology and Microbiology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- CWRU-Cleveland VAMC Center for Antimicrobial Resistance and Epidemiology (Case VA CARES) Cleveland, OH, USA
| | - Mohamed Draz
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, Ohio, USA
- Molecular Biology and Microbiology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Department of Biomedical Engineering, Cleveland Clinic, Cleveland, OH 44106, USA
| |
Collapse
|
5
|
Mitrogiannopoulou AM, Tselepi V, Ellinas K. Polymeric and Paper-Based Lab-on-a-Chip Devices in Food Safety: A Review. MICROMACHINES 2023; 14:986. [PMID: 37241610 PMCID: PMC10223399 DOI: 10.3390/mi14050986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 04/27/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023]
Abstract
Food quality and safety are important to protect consumers from foodborne illnesses. Currently, laboratory scale analysis, which takes several days to complete, is the main way to ensure the absence of pathogenic microorganisms in a wide range of food products. However, new methods such as PCR, ELISA, or even accelerated plate culture tests have been proposed for the rapid detection of pathogens. Lab-on-chip (LOC) devices and microfluidics are miniaturized devices that can enable faster, easier, and at the point of interest analysis. Nowadays, methods such as PCR are often coupled with microfluidics, providing new LOC devices that can replace or complement the standard methods by offering highly sensitive, fast, and on-site analysis. This review's objective is to present an overview of recent advances in LOCs used for the identification of the most prevalent foodborne and waterborne pathogens that put consumer health at risk. In particular, the paper is organized as follows: first, we discuss the main fabrication methods of microfluidics as well as the most popular materials used, and then we present recent literature examples for LOCs used for the detection of pathogenic bacteria found in water and other food samples. In the final section, we summarize our findings and also provide our point of view on the challenges and opportunities in the field.
Collapse
Affiliation(s)
| | | | - Kosmas Ellinas
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, Ierou Lochou & Makrygianni St, GR 81400 Myrina, Greece
| |
Collapse
|
6
|
Rodríguez CF, Andrade-Pérez V, Vargas MC, Mantilla-Orozco A, Osma JF, Reyes LH, Cruz JC. Breaking the clean room barrier: exploring low-cost alternatives for microfluidic devices. Front Bioeng Biotechnol 2023; 11:1176557. [PMID: 37180035 PMCID: PMC10172592 DOI: 10.3389/fbioe.2023.1176557] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/17/2023] [Indexed: 05/15/2023] Open
Abstract
Microfluidics is an interdisciplinary field that encompasses both science and engineering, which aims to design and fabricate devices capable of manipulating extremely low volumes of fluids on a microscale level. The central objective of microfluidics is to provide high precision and accuracy while using minimal reagents and equipment. The benefits of this approach include greater control over experimental conditions, faster analysis, and improved experimental reproducibility. Microfluidic devices, also known as labs-on-a-chip (LOCs), have emerged as potential instruments for optimizing operations and decreasing costs in various of industries, including pharmaceutical, medical, food, and cosmetics. However, the high price of conventional prototypes for LOCs devices, generated in clean room facilities, has increased the demand for inexpensive alternatives. Polymers, paper, and hydrogels are some of the materials that can be utilized to create the inexpensive microfluidic devices covered in this article. In addition, we highlighted different manufacturing techniques, such as soft lithography, laser plotting, and 3D printing, that are suitable for creating LOCs. The selection of materials and fabrication techniques will depend on the specific requirements and applications of each individual LOC. This article aims to provide a comprehensive overview of the numerous alternatives for the development of low-cost LOCs to service industries such as pharmaceuticals, chemicals, food, and biomedicine.
Collapse
Affiliation(s)
| | | | - María Camila Vargas
- Department of Biomedical Engineering, Universidad de Los Andes, Bogotá, Colombia
| | | | - Johann F. Osma
- Department of Biomedical Engineering, Universidad de Los Andes, Bogotá, Colombia
| | - Luis H. Reyes
- Department of Chemical and Food Engineering, Universidad de Los Andes, Bogotá, Colombia
| | - Juan C. Cruz
- Department of Biomedical Engineering, Universidad de Los Andes, Bogotá, Colombia
| |
Collapse
|
7
|
Zhang Y, Yazid NBM, Ho PY, Hu X, Chen S, Vasoo S, Kanitthamniyom P. DropCarba - An automated magnetic digital microfluidic platform for rapid phenotypic testing of carbapenemase-producing Gram-negative bacilli. Biosens Bioelectron 2023; 225:115099. [PMID: 36709588 DOI: 10.1016/j.bios.2023.115099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/20/2023] [Accepted: 01/22/2023] [Indexed: 01/25/2023]
Abstract
Carbapenemase-producing Gram-negative bacilli (CPGNB) is a type of antibiotic-resistant pathogens that often lead to severe clinical consequences. Phenotypic tests, such as Carba NP and blue Carba, are able to detect the resistant mechanism and provide rapid detection of carbapenemase producers to potentially guide personalized therapy. However, these tests require relatively tedious hands-on fluidic operations, and the assay format is ill-suited for automation and parallelization for improved throughput. In this study, we report an automated magnetic digital microfluidics-based platform, known as DropCarba, for parallel CPGNB detection in droplets. It automates the entire carbapenemase testing process and eliminates the need for almost all hands-on fluidic operations, which ensures high consistency and minimizes human errors with a simple "press-and-go" operation. DropCarba was validated with a large number of bacterial isolates of various Enterobacterales species (200 strains in total with 100 CPGNB and 100 non-resistant strains) in a blinded manner, and the results agree well with the benchmark Carba NP. DropCarba, with its full automation, simple operation, reduced reagent consumption, parallelization processing, and scalable manufacturing, will greatly improve CPGNB screening and make a valuable contribution to our fight against antibiotic resistance.
Collapse
Affiliation(s)
- Yi Zhang
- School of Electronic and Electrical Engineering, University of Electronic Science and Technology of China, China.
| | | | - Pei-Yun Ho
- National Center for Infectious Disease, Tan Tock Seng Hospital, Singapore
| | - Xuyang Hu
- China-Singapore International Joint Research Institute, China
| | - Songlin Chen
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
| | - Shawn Vasoo
- National Center for Infectious Disease, Tan Tock Seng Hospital, Singapore
| | | |
Collapse
|
8
|
Yu L, Chen L, Liu Y, Zhu J, Wang F, Ma L, Yi K, Xiao H, Zhou F, Wang F, Bai L, Zhu Y, Xiao X, Yang Y. Magnetically Actuated Hydrogel Stamping-Assisted Cellular Mechanical Analyzer for Stored Blood Quality Detection. ACS Sens 2023; 8:1183-1191. [PMID: 36867892 DOI: 10.1021/acssensors.2c02507] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Abstract
Cellular mechanical property analysis reflecting the physiological and pathological states of cells plays a crucial role in assessing the quality of stored blood. However, its complex equipment needs, operation difficulty, and clogging issues hinder automated and rapid biomechanical testing. Here, we propose a promising biosensor assisted by magnetically actuated hydrogel stamping to fulfill it. The flexible magnetic actuator triggers the collective deformation of multiple cells in the light-cured hydrogel, and it allows for on-demand bioforce stimulation with the advantages of portability, cost-effectiveness, and simplicity of operation. The magnetically manipulated cell deformation processes are captured by the integrated miniaturized optical imaging system, and the cellular mechanical property parameters are extracted from the captured images for real-time analysis and intelligent sensing. In this work, 30 clinical blood samples with different storage durations (<14 days and >14 days) were tested. A deviation of 3.3% in the differentiation of blood storage durations by this system compared to physician annotation demonstrated its feasibility. This system should broaden the application of cellular mechanical assays in diverse clinical settings.
Collapse
Affiliation(s)
- Le Yu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| | - Longfei Chen
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| | - Yantong Liu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| | - Jiaomeng Zhu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
| | - Fang Wang
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
| | - Linlu Ma
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Kezhen Yi
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Hui Xiao
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Fubing Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Long Bai
- School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yimin Zhu
- School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Xuan Xiao
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
| | - Yi Yang
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education, School of Physics & Technology, Wuhan University, Wuhan 430072, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| |
Collapse
|
9
|
Hu X, Gao X, Chen S, Guo J, Zhang Y. DropLab: an automated magnetic digital microfluidic platform for sample-to-answer point-of-care testing-development and application to quantitative immunodiagnostics. MICROSYSTEMS & NANOENGINEERING 2023; 9:10. [PMID: 36644334 PMCID: PMC9833028 DOI: 10.1038/s41378-022-00475-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 11/24/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
In point-of-care testing (POCT), tests are performed near patients and results are given rapidly for timely clinical decisions. Immunodiagnostic assays are one of the most important analyses for detecting and quantifying protein-based biomarkers. However, existing POCT immunodiagnostics mainly rely on the lateral flow assay (LFA), which has limited sensitivity or quantification capability. Although other immunodiagnostic assays, such as enzyme-linked immunosorbent assays (ELISAs), offer more sensitive and quantitative results, they require complex liquid manipulations that are difficult to implement in POCT settings by conventional means. Here, we show the development of DropLab, an automated sample-in-answer-out POCT immunodiagnostic platform based on magnetic digital microfluidic (MDM) technology. DropLab performs microbead-based ELISA in droplets to offer more sensitive and quantitative testing results. The intricate liquid manipulations required for ELISA are accomplished by controlling droplets with magnetic microbeads using MDM technology, which enables us to achieve full automation and easy operations with DropLab. Four ELISAs (the sample in triplicates and a negative control) can be run in parallel on the thermoformed disposable chip, which greatly improves the throughput and accuracy compared to those of other POCT immunodiagnostic devices. DropLab was validated by measuring two protein targets and one antibody target. The testing results showed that the limit of detection (LOD) of DropLab matched that of the conventional ELISA in a microwell plate. DropLab brings MDM one step closer to being a viable medical technology that is ready for real-world POCT applications.
Collapse
Affiliation(s)
- Xuyang Hu
- China-Singapore International Joint Research Institute, Guangzhou, China
- Guangzhou DropLab Scientific Co. Ltd., Guangzhou, China
| | - Xiangyu Gao
- China-Singapore International Joint Research Institute, Guangzhou, China
| | - Songlin Chen
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
- DropLab Scientific (Singapore) Pvt. Ltd., Singapore, Singapore
| | - Jinhong Guo
- School of Sensing Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Zhang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| |
Collapse
|
10
|
Recent advances of integrated microfluidic systems for fungal and bacterial analysis. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
11
|
Zhou A, Xu C, Kanitthamniyom P, Ng CSX, Lim GJ, Lew WS, Vasoo S, Zhang X, Lum GZ, Zhang Y. Magnetic Soft Millirobots 3D Printed by Circulating Vat Photopolymerization to Manipulate Droplets Containing Hazardous Agents for In Vitro Diagnostics. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2200061. [PMID: 35147257 DOI: 10.1002/adma.202200061] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/01/2022] [Indexed: 06/14/2023]
Abstract
3D printing via vat photopolymerization (VP) is a highly promising approach for fabricating magnetic soft millirobots (MSMRs) with accurate miniature 3D structures; however, magnetic filler materials added to resin either strongly interfere with the photon energy source or sediment too fast, resulting in the nonuniformity of the filler distribution or failed prints, which limits the application of VP. To this end, a circulating vat photopolymerization (CVP) platform that can print MSMRs with high uniformity, high particle loading, and strong magnetic response is presented. After extensive characterization of materials and 3D printed parts, it is found that SrFe12 O19 is an ideal magnetic filler for CVP and can be printed with 30% particle loading and high uniformity. By using CVP, various tethered and untethered MSMRs are 3D printed monolithically and demonstrate the capability of reversible 3D-to-3D transformation and liquid droplet manipulation in 3D, an important task for in vitro diagnostics that are not shown with conventional MSMRs. A fully automated liquid droplet handling platform that manipulates droplets with MSMR is presented for detecting carbapenem antibiotic resistance in hazardous biosamples as a proof of concept, and the results agree with the benchmark.
Collapse
Affiliation(s)
- Aiwu Zhou
- Singapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Changyu Xu
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Pojchanun Kanitthamniyom
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Chelsea Shan Xian Ng
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Gerard Joseph Lim
- School of Physical and Mathematical Sciences, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Wen Siang Lew
- School of Physical and Mathematical Sciences, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Shawn Vasoo
- National Center for Infectious Disease, Tan Tock Seng Hospital, 11 Jln Tan Tock Seng, Singapore, 308433, Singapore
| | - Xiaosheng Zhang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, 2006 Xiyuan Avenue, Chengdu, Sichuan, 611731, China
| | - Guo Zhan Lum
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Yi Zhang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, 2006 Xiyuan Avenue, Chengdu, Sichuan, 611731, China
| |
Collapse
|