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Kumar S, Kaushal JB, Lee HP. Sustainable Sensing with Paper Microfluidics: Applications in Health, Environment, and Food Safety. BIOSENSORS 2024; 14:300. [PMID: 38920604 PMCID: PMC11202065 DOI: 10.3390/bios14060300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/04/2024] [Accepted: 06/05/2024] [Indexed: 06/27/2024]
Abstract
This manuscript offers a concise overview of paper microfluidics, emphasizing its sustainable sensing applications in healthcare, environmental monitoring, and food safety. Researchers have developed innovative sensing platforms for detecting pathogens, pollutants, and contaminants by leveraging the paper's unique properties, such as biodegradability and affordability. These portable, low-cost sensors facilitate rapid diagnostics and on-site analysis, making them invaluable tools for resource-limited settings. This review discusses the fabrication techniques, principles, and applications of paper microfluidics, showcasing its potential to address pressing challenges and enhance human health and environmental sustainability.
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Affiliation(s)
- Sanjay Kumar
- Durham School of Architectural Engineering and Construction, University of Nebraska-Lincoln, Scott Campus, Omaha, NE 68182-0816, USA
| | - Jyoti Bala Kaushal
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Heow Pueh Lee
- Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore;
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2
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Jahangiri AR, Ziarati N, Dadkhah E, Bucak MN, Rahimizadeh P, Shahverdi A, Sadighi Gilani MA, Topraggaleh TR. Microfluidics: The future of sperm selection in assisted reproduction. Andrology 2023. [PMID: 38148634 DOI: 10.1111/andr.13578] [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: 11/16/2022] [Revised: 11/03/2023] [Accepted: 12/10/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND Obtaining functional sperm cells is the first step to treat infertility. With the ever-increasing trend in male infertility, clinicians require access to effective solutions that are able to single out the most viable spermatozoa, which would max out the chance for a successful pregnancy. The new generation techniques for sperm selection involve microfluidics, which offers laminar flow and low Reynolds number within the platforms can provide unprecedented opportunities for sperm selection. Previous studies showed that microfluidic platforms can provide a novel approach to this challenge and since then researchers across the globe have attacked this problem from multiple angles. OBJECTIVE In this review, we seek to provide a much-needed bridge between the technical and medical aspects of microfluidic sperm selection. Here, we provide an up-to-date list on microfluidic sperm selection procedures and its application in assisted reproductive technology laboratories. SEARCH METHOD A literature search was performed in Web of Science, PubMed, and Scopus to select papers reporting microfluidic sperm selection using the keywords: microfluidic sperm selection, self-motility, non-motile sperm selection, boundary following, rheotaxis, chemotaxis, and thermotaxis. Papers published before March 31, 2023 were selected. OUTCOMES Our results show that most studies have used motility-based properties for sperm selection. However, microfluidic platforms are ripe for making use of other properties such as chemotaxis and especially rheotaxis. We have identified that low throughput is one of the major hurdles to current microfluidic sperm selection chips, which can be solved via parallelization. CONCLUSION Future work needs to be performed on numerical simulation of the microfluidics chip prior to fabrication as well as relevant clinical assessment after the selection procedure. This would require a close collaboration and understanding among engineers, biologists, and medical professionals. It is interesting that in spite of two decades of microfluidics sperm selection, numerical simulation and clinical studies are lagging behind. It is expected that microfluidic sperm selection platforms will play a major role in the development of fully integrated start-to-finish assisted reproductive technology systems.
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Affiliation(s)
- Ali Reza Jahangiri
- NanoLund, Lund University, Lund, Sweden
- Materials Science and Applied Mathematics, Malmö University, Malmö, Sweden
| | - Niloofar Ziarati
- Department of Embryology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Ehsan Dadkhah
- Department of Embryology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
- Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
| | - Mustafa Numan Bucak
- Department of Reproduction and Artificial Insemination, Faculty of Veterinary Medicine, Selcuk University, Konya, Turkey
| | - Pegah Rahimizadeh
- Division of Experimental Surgery, McGill University, Montreal, Quebec, Canada
- Cancer Research Program, The Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Abdolhossein Shahverdi
- Department of Embryology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Mohammad Ali Sadighi Gilani
- Department of Andrology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Tohid Rezaei Topraggaleh
- Reproductive Health Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran
- Department of Anatomical Sciences, School of Medicine, Urmia University of Medical Sciences, Urmia, Iran
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3
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Yigci D, Atçeken N, Yetisen AK, Tasoglu S. Loop-Mediated Isothermal Amplification-Integrated CRISPR Methods for Infectious Disease Diagnosis at Point of Care. ACS OMEGA 2023; 8:43357-43373. [PMID: 38027359 PMCID: PMC10666231 DOI: 10.1021/acsomega.3c04422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 09/26/2023] [Indexed: 12/01/2023]
Abstract
Infectious diseases continue to pose an imminent threat to global public health, leading to high numbers of deaths every year and disproportionately impacting developing countries where access to healthcare is limited. Biological, environmental, and social phenomena, including climate change, globalization, increased population density, and social inequity, contribute to the emergence of novel communicable diseases. Rapid and accurate diagnoses of infectious diseases are essential to preventing the transmission of infectious diseases. Although some commonly used diagnostic technologies provide highly sensitive and specific measurements, limitations including the requirement for complex equipment/infrastructure and refrigeration, the need for trained personnel, long sample processing times, and high cost remain unresolved. To ensure global access to affordable diagnostic methods, loop-mediated isothermal amplification (LAMP) integrated clustered regularly interspaced short palindromic repeat (CRISPR) based pathogen detection has emerged as a promising technology. Here, LAMP-integrated CRISPR-based nucleic acid detection methods are discussed in point-of-care (PoC) pathogen detection platforms, and current limitations and future directions are also identified.
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Affiliation(s)
- Defne Yigci
- School
of Medicine, Koç University, Istanbul 34450, Turkey
| | - Nazente Atçeken
- Koç
University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey
| | - Ali K. Yetisen
- Department
of Chemical Engineering, Imperial College
London, London SW7 2AZ, U.K.
| | - Savas Tasoglu
- Koç
University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey
- Boğaziçi
Institute of Biomedical Engineering, Boğaziçi
University, Istanbul 34684, Turkey
- Koç
University Arçelik Research Center for Creative Industries
(KUAR), Koç University, Istanbul 34450, Turkey
- Physical
Intelligence Department, Max Planck Institute
for Intelligent Systems, Stuttgart 70569, Germany
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Akbari Nakhjavani S, Tokyay BK, Soylemez C, Sarabi MR, Yetisen AK, Tasoglu S. Biosensors for prostate cancer detection. Trends Biotechnol 2023; 41:1248-1267. [PMID: 37147246 DOI: 10.1016/j.tibtech.2023.04.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/22/2023] [Accepted: 04/04/2023] [Indexed: 05/07/2023]
Abstract
Prostate cancer (PC) is one of the most common tumors and a leading cause of mortality among men, resulting in ~375 000 deaths annually worldwide. Various analytical methods have been designed for quantitative and rapid detection of PC biomarkers. Electrochemical (EC), optical, and magnetic biosensors have been developed to detect tumor biomarkers in clinical and point-of-care (POC) settings. Although POC biosensors have shown potential for detection of PC biomarkers, some limitations, such as the sample preparation, should be considered. To tackle such shortcomings, new technologies have been utilized for development of more practical biosensors. Here, biosensing platforms for the detection of PC biomarkers such as immunosensors, aptasensors, genosensors, paper-based devices, microfluidic systems, and multiplex high-throughput platforms, are discussed.
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Affiliation(s)
- Sattar Akbari Nakhjavani
- Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkey; Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey
| | - Begum K Tokyay
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey; Department of Biomedical Sciences and Engineering, Koç University, 34450 Istanbul, Turkey
| | - Cansu Soylemez
- Department of Biomedical Sciences and Engineering, Koç University, 34450 Istanbul, Turkey
| | - Misagh R Sarabi
- Department of Biomedical Sciences and Engineering, Koç University, 34450 Istanbul, Turkey; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany 70569
| | - Ali K Yetisen
- Department of Chemical Engineering, Imperial College, London SW7 2AZ, UK
| | - Savas Tasoglu
- Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkey; Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany 70569; Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Istanbul 34450, Turkey; Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul 34684, Turkey.
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5
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Akh L, Jung D, Frantz W, Bowman C, Neu AC, Ding X. Microfluidic pumps for cell sorting. BIOMICROFLUIDICS 2023; 17:051502. [PMID: 37736018 PMCID: PMC10511263 DOI: 10.1063/5.0161223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 09/05/2023] [Indexed: 09/23/2023]
Abstract
Microfluidic cell sorting has shown promising advantages over traditional bulky cell sorting equipment and has demonstrated wide-reaching applications in biological research and medical diagnostics. The most important characteristics of a microfluidic cell sorter are its throughput, ease of use, and integration of peripheral equipment onto the chip itself. In this review, we discuss the six most common methods for pumping fluid samples in microfluidic cell sorting devices, present their advantages and drawbacks, and discuss notable examples of their use. Syringe pumps are the most commonly used method for fluid actuation in microfluidic devices because they are easily accessible but they are typically too bulky for portable applications, and they may produce unfavorable flow characteristics. Peristaltic pumps, both on- and off-chip, can produce reversible flow but they suffer from pulsatile flow characteristics, which may not be preferable in many scenarios. Gravity-driven pumping, and similarly hydrostatic pumping, require no energy input but generally produce low throughputs. Centrifugal flow is used to sort cells on the basis of size or density but requires a large external rotor to produce centrifugal force. Electroosmotic pumping is appealing because of its compact size but the high voltages required for fluid flow may be incompatible with live cells. Emerging methods with potential for applications in cell sorting are also discussed. In the future, microfluidic cell sorting methods will trend toward highly integrated systems with high throughputs and low sample volume requirements.
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Affiliation(s)
- Leyla Akh
- Biomedical Engineering Program, University of Colorado, Boulder, Colorado 80309, USA
| | - Diane Jung
- Biomedical Engineering Program, University of Colorado, Boulder, Colorado 80309, USA
| | - William Frantz
- Biomedical Engineering Program, University of Colorado, Boulder, Colorado 80309, USA
| | - Corrin Bowman
- Biomedical Engineering Program, University of Colorado, Boulder, Colorado 80309, USA
| | - Anika C. Neu
- Paul M. Rady Department of Mechanical Engineering, University of Colorado, Boulder, Colorado 80309, USA
| | - Xiaoyun Ding
- Author to whom correspondence should be addressed:
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Cardoso BD, Castanheira EMS, Lanceros-Méndez S, Cardoso VF. Recent Advances on Cell Culture Platforms for In Vitro Drug Screening and Cell Therapies: From Conventional to Microfluidic Strategies. Adv Healthc Mater 2023; 12:e2202936. [PMID: 36898671 DOI: 10.1002/adhm.202202936] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 02/27/2023] [Indexed: 03/12/2023]
Abstract
The clinical translations of drugs and nanomedicines depend on coherent pharmaceutical research based on biologically accurate screening approaches. Since establishing the 2D in vitro cell culture method, the scientific community has improved cell-based drug screening assays and models. Those advances result in more informative biochemical assays and the development of 3D multicellular models to describe the biological complexity better and enhance the simulation of the in vivo microenvironment. Despite the overall dominance of conventional 2D and 3D cell macroscopic culture methods, they present physicochemical and operational challenges that impair the scale-up of drug screening by not allowing a high parallelization, multidrug combination, and high-throughput screening. Their combination and complementarity with microfluidic platforms enable the development of microfluidics-based cell culture platforms with unequivocal advantages in drug screening and cell therapies. Thus, this review presents an updated and consolidated view of cell culture miniaturization's physical, chemical, and operational considerations in the pharmaceutical research scenario. It clarifies advances in the field using gradient-based microfluidics, droplet-based microfluidics, printed-based microfluidics, digital-based microfluidics, SlipChip, and paper-based microfluidics. Finally, it presents a comparative analysis of the performance of cell-based methods in life research and development to achieve increased precision in the drug screening process.
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Affiliation(s)
- Beatriz D Cardoso
- Physics Centre of Minho and Porto Universities (CF-UM-UP), Campus de Gualtar, University of Minho, Braga, 4710-057, Portugal
- LaPMET-Laboratory of Physics for Materials and Emergent Technologies, University of Minho, 4710-057, Braga, Portugal
- Center for MicroElectromechanical Systems (CMEMS-UMinho), Campus de Azurém, University of Minho, 4800-058, Guimarães, Portugal
- LABBELS-Associate Laboratory in Biotechnology and Bioengineering and Microelectromechanical Systems, University of Minho, Braga/Guimarães, Portugal
| | - Elisabete M S Castanheira
- Physics Centre of Minho and Porto Universities (CF-UM-UP), Campus de Gualtar, University of Minho, Braga, 4710-057, Portugal
- LaPMET-Laboratory of Physics for Materials and Emergent Technologies, University of Minho, 4710-057, Braga, Portugal
| | - Senentxu Lanceros-Méndez
- Physics Centre of Minho and Porto Universities (CF-UM-UP), Campus de Gualtar, University of Minho, Braga, 4710-057, Portugal
- LaPMET-Laboratory of Physics for Materials and Emergent Technologies, University of Minho, 4710-057, Braga, Portugal
- BCMaterials, Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, Leioa, 48940, Spain
- IKERBASQUE, Basque Foundation for Science, Bilbao, 48009, Spain
| | - Vanessa F Cardoso
- Center for MicroElectromechanical Systems (CMEMS-UMinho), Campus de Azurém, University of Minho, 4800-058, Guimarães, Portugal
- LABBELS-Associate Laboratory in Biotechnology and Bioengineering and Microelectromechanical Systems, University of Minho, Braga/Guimarães, Portugal
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Birtek MT, Alseed MM, Sarabi MR, Ahmadpour A, Yetisen AK, Tasoglu S. Machine learning-augmented fluid dynamics simulations for micromixer educational module. BIOMICROFLUIDICS 2023; 17:044101. [PMID: 37425484 PMCID: PMC10329477 DOI: 10.1063/5.0146375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 06/17/2023] [Indexed: 07/11/2023]
Abstract
Micromixers play an imperative role in chemical and biomedical systems. Designing compact micromixers for laminar flows owning a low Reynolds number is more challenging than flows with higher turbulence. Machine learning models can enable the optimization of the designs and capabilities of microfluidic systems by receiving input from a training library and producing algorithms that can predict the outcomes prior to the fabrication process to minimize development cost and time. Here, an educational interactive microfluidic module is developed to enable the design of compact and efficient micromixers at low Reynolds regimes for Newtonian and non-Newtonian fluids. The optimization of Newtonian fluids designs was based on a machine learning model, which was trained by simulating and calculating the mixing index of 1890 different micromixer designs. This approach utilized a combination of six design parameters and the results as an input data set to a two-layer deep neural network with 100 nodes in each hidden layer. A trained model was achieved with R2 = 0.9543 that can be used to predict the mixing index and find the optimal parameters needed to design micromixers. Non-Newtonian fluid cases were also optimized using 56700 simulated designs with eight varying input parameters, reduced to 1890 designs, and then trained using the same deep neural network used for Newtonian fluids to obtain R2 = 0.9063. The framework was subsequently used as an interactive educational module, demonstrating a well-structured integration of technology-based modules such as using artificial intelligence in the engineering curriculum, which can highly contribute to engineering education.
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Affiliation(s)
- Mehmet Tugrul Birtek
- School of Biomedical Sciences and Engineering, Koç University, Istanbul 34450, Turkey
| | - M. Munzer Alseed
- Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul 34684, Turkey
| | | | - Abdollah Ahmadpour
- School of Mechanical Engineering, Koç University, Istanbul 34450, Turkey
| | - Ali K. Yetisen
- Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom
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8
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Sarabi MR, Karagoz AA, Yetisen AK, Tasoglu S. 3D-Printed Microrobots: Translational Challenges. MICROMACHINES 2023; 14:1099. [PMID: 37374684 DOI: 10.3390/mi14061099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 05/18/2023] [Accepted: 05/21/2023] [Indexed: 06/29/2023]
Abstract
The science of microrobots is accelerating towards the creation of new functionalities for biomedical applications such as targeted delivery of agents, surgical procedures, tracking and imaging, and sensing. Using magnetic properties to control the motion of microrobots for these applications is emerging. Here, 3D printing methods are introduced for the fabrication of microrobots and their future perspectives are discussed to elucidate the path for enabling their clinical translation.
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Affiliation(s)
| | - Ahmet Agah Karagoz
- School of Biomedical Sciences and Engineering, Koç University, Istanbul 34450, Türkiye
- Koç University Is Bank Artificial Intelligence Lab (KUIS AI Lab), Koç University, Istanbul 34450, Türkiye
| | - Ali K Yetisen
- Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK
| | - Savas Tasoglu
- Koç University Is Bank Artificial Intelligence Lab (KUIS AI Lab), Koç University, Istanbul 34450, Türkiye
- School of Mechanical Engineering, Koç University, Istanbul 34450, Türkiye
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Türkiye
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Istanbul 34450, Türkiye
- Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul 34684, Türkiye
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Abstract
Bioprinting as an extension of 3D printing offers capabilities for printing tissues and organs for application in biomedical engineering. Conducting bioprinting in space, where the gravity is zero, can enable new frontiers in tissue engineering. Fabrication of soft tissues, which usually collapse under their own weight, can be accelerated in microgravity conditions as the external forces are eliminated. Furthermore, human colonization in space can be supported by providing critical needs of life and ecosystems by 3D bioprinting without relying on cargos from Earth, e.g., by development and long-term employment of living engineered filters (such as sea sponges-known as critical for initiating and maintaining an ecosystem). This review covers bioprinting methods in microgravity along with providing an analysis on the process of shipping bioprinters to space and presenting a perspective on the prospects of zero-gravity bioprinting.
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Affiliation(s)
- Misagh Rezapour Sarabi
- Mechanical Engineering Department, School of Engineering, Koç University, Istanbul, Turkey 34450
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany 70569
| | - Ali K Yetisen
- Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Savas Tasoglu
- Mechanical Engineering Department, School of Engineering, Koç University, Istanbul, Turkey 34450
- Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany 70569
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul, Turkey 34450
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Istanbul, Turkey 34450
- Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul, Turkey 34684
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Ahmadpour A, Isgor PK, Ural B, Eren BN, Sarabi MR, Muradoglu M, Tasoglu S. Microneedle arrays integrated with microfluidic systems: Emerging applications and fluid flow modeling. BIOMICROFLUIDICS 2023; 17:021501. [PMID: 37153866 PMCID: PMC10162023 DOI: 10.1063/5.0121578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 02/15/2023] [Indexed: 05/10/2023]
Abstract
Microneedle arrays are patches of needles at micro- and nano-scale, which are competent and versatile technologies that have been merged with microfluidic systems to construct more capable devices for biomedical applications, such as drug delivery, wound healing, biosensing, and sampling body fluids. In this paper, several designs and applications are reviewed. In addition, modeling approaches used in microneedle designs for fluid flow and mass transfer are discussed, and the challenges are highlighted.
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Affiliation(s)
- Abdollah Ahmadpour
- Department of Mechanical Engineering, College of Engineering, Koç University, Türkiye
| | - Pelin Kubra Isgor
- Department of Biomedical Sciences and Engineering, College of Engineering, Koç University, Türkiye
| | - Berk Ural
- Department of Mechanical Engineering, College of Engineering, Koç University, Türkiye
| | - Busra Nimet Eren
- Department of Mechanical Engineering, College of Engineering, Koç University, Türkiye
| | | | - Metin Muradoglu
- Department of Mechanical Engineering, College of Engineering, Koç University, Türkiye
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Atçeken N, Yigci D, Ozdalgic B, Tasoglu S. CRISPR-Cas-Integrated LAMP. BIOSENSORS 2022; 12:1035. [PMID: 36421156 PMCID: PMC9688180 DOI: 10.3390/bios12111035] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/10/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
Pathogen-specific point-of-care (PoC) diagnostic tests have become an important need in the fight against infectious diseases and epidemics in recent years. PoC diagnostic tests are designed with the following parameters in mind: rapidity, accuracy, sensitivity, specificity, and ease of use. Molecular techniques are the gold standard for pathogen detection due to their accuracy and specificity. There are various limitations in adapting molecular diagnostic methods to PoC diagnostic tests. Efforts to overcome limitations are focused on the development of integrated molecular diagnostics by utilizing the latest technologies available to create the most successful PoC diagnostic platforms. With this point of view, a new generation technology was developed by combining loop-mediated isothermal amplification (LAMP) technology with clustered regularly interspaced short palindromic repeat (CRISPR)-associated (CRISPR-Cas) technology. This integrated approach benefits from the properties of LAMP technology, namely its high efficiency, short turnaround time, and the lack of need for a complex device. It also makes use of the programmable function of CRISPR-Cas technology and the collateral cleavage activity of certain Cas proteins that allow for convenient reporter detection. Thus, this combined technology enables the development of PoC diagnostic tests with high sensitivity, specificity, and ease of use without the need for complicated devices. In this review, we discuss the advantages and limitations of the CRISPR/Cas combined LAMP technology. We review current limitations to convert CRISPR combined LAMP into pathogen-specific PoC platforms. Furthermore, we point out the need to design more useful PoC platforms using microfabrication technologies by developing strategies that overcome the limitations of this new technology, reduce its complexity, and reduce the risk of contamination.
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Affiliation(s)
- Nazente Atçeken
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey
| | - Defne Yigci
- School of Medicine, Koç University, Istanbul 34450, Turkey
| | - Berin Ozdalgic
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey
- Department of Mechanical Engineering, Engineering Faculty, Koç University, Istanbul 34450, Turkey
- School of Medical Services & Techniques, Dogus University, Istanbul 34775, Turkey
| | - Savas Tasoglu
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey
- Department of Mechanical Engineering, Engineering Faculty, Koç University, Istanbul 34450, Turkey
- Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul 34684, Turkey
- Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Istanbul 34450, Turkey
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