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Kim M, Ravisankar V, Hassan YA, Ugaz VM. Biochemically Programmable Isothermal PCR. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2404688. [PMID: 39269276 DOI: 10.1002/advs.202404688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 08/23/2024] [Indexed: 09/15/2024]
Abstract
Isothermal PCR can be performed by imposing a static temperature gradient that continuously circulates reagents through denaturing, annealing, and extension conditions inside a PCR tube. But despite early promise, these systems have yet to demonstrate performance and repeatability sufficient for adoption in validated laboratory tests because the rate-limiting extension step is inherently short and cannot be increased independently of the other stages in a temperature cycle. Here, a discovery that enables isothermal PCR to be achieved with statistically robust repeatability that meets or exceeds diagnostic assay requirements (false positive/negative rate <8% at 95% confidence) by manipulating the interplay between the DNA replication biochemistry (via the amplicon GC content) and the microscale circulatory flow inside a PCR tube is reported. Surprisingly, optimal performance depends on selecting primer sequences that replicate high GC content amplicons, contradicting established PCR primer design rules. This innovative thermocycling approach accelerates PCR to speeds rivaling ultra-fast instruments, enabling rapid, repeatable isothermal DNA analysis across a range of targets relevant to diagnostics and pathogen detection.
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Affiliation(s)
- MinGin Kim
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Vijay Ravisankar
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Yassin A Hassan
- Department of Nuclear Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Victor M Ugaz
- Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, 77843, USA
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2
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Lapins N, Akhtar AS, Banerjee I, Kazemzadeh A, Pinto IF, Russom A. Smartphone-driven centrifugal microfluidics for diagnostics in resource limited settings. Biomed Microdevices 2024; 26:43. [PMID: 39460830 PMCID: PMC11512838 DOI: 10.1007/s10544-024-00726-x] [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] [Accepted: 10/08/2024] [Indexed: 10/28/2024]
Abstract
The broad availability of smartphones has provided new opportunities to develop less expensive, portable, and integrated point-of-care (POC) platforms. Here, a platform that consists of three main components is introduced: a portable housing, a centrifugal microfluidic disc, and a mobile phone. The mobile phone supplies the electrical power and serves as an analysing system. The low-cost housing made from cardboard serves as a platform to conduct tests. The electrical energy stored in mobile phones was demonstrated to be adequate for spinning a centrifugal disc up to 3000 revolutions per minute (RPM), a rotation speed suitable for majority of centrifugal microfluidics-based assays. For controlling the rotational speed, a combination of magnetic and acoustic tachometry using embedded sensors of the mobile phone was used. Experimentally, the smartphone-based tachometry was proven to be comparable with a standard laser-based tachometer. As a proof of concept, two applications were demonstrated using the portable platform: a colorimetric sandwich immunoassay to detect interleukin-2 (IL-2) having a limit of detection (LOD) of 65.17 ng/mL and a fully automated measurement of hematocrit level integrating blood-plasma separation, imaging, and image analysis that takes less than 5 mins to complete. The low-cost platform weighing less than 150 g and operated by a mobile phone has the potential to meet the REASSURED criteria for advanced diagnostics in resource limited settings.
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Affiliation(s)
- Noa Lapins
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, Solna, Sweden
| | - Ahmad S Akhtar
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, Solna, Sweden
| | - Indradumna Banerjee
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, Solna, Sweden
| | - Amin Kazemzadeh
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, Solna, Sweden
| | - Inês F Pinto
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, Solna, Sweden
| | - Aman Russom
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, Solna, Sweden.
- AIMES - Center for the Advancement of Integrated Medical and Engineering Sciences at Karolinska Institutet and KTH Royal Institute of Technology, Stockholm, Sweden.
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3
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Saifuddin SA, Rashid R, Nor Azmi NJ, Mohamad S. Colorimetric strategies applicable for loop-mediated isothermal amplification. J Microbiol Methods 2024; 223:106981. [PMID: 38945305 DOI: 10.1016/j.mimet.2024.106981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/20/2024] [Accepted: 06/25/2024] [Indexed: 07/02/2024]
Abstract
In recent years, loop-mediated isothermal amplification (LAMP) has gained popularity for detecting various pathogen-specific genes due to its superior sensitivity and specificity compared to conventional polymerase chain reaction (PCR). The simplicity and flexibility of naked-eye detection of the amplicon make LAMP an ideal rapid and straightforward diagnostic tool, especially in resource-limited laboratories. Colorimetric detection is one of the simplest and most straightforward among all detection methods. This review will explore various colorimetric dyes used in LAMP techniques, examining their reaction mechanisms, advantages, limitations and latest applications.
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Affiliation(s)
- Syaidatul Akmal Saifuddin
- School of Dental Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Roslina Rashid
- School of Dental Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Nurin Jazlina Nor Azmi
- School of Dental Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia
| | - Suharni Mohamad
- School of Dental Sciences, Universiti Sains Malaysia, Health Campus, 16150 Kubang Kerian, Kelantan, Malaysia.
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4
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Li Y, Sun J, Wang Q, Su C, Chen X, Ma C, Yang X, Feng C, Shi C. Lysis-Free Isolation and Direct Amplification of Pathogenic Bacterial DNA Using Diatom Frustules. Anal Chem 2024; 96:9113-9121. [PMID: 38771353 DOI: 10.1021/acs.analchem.4c00671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
DNA has been implicated as an important biomarker for the diagnosis of bacterial infections. Herein, we developed a streamlined methodology that uses diatom frustules (DFs) to liberate and capture bacterial DNA and allows direct downstream amplification tests without any lysis, washing, or elution steps. Unlike most conventional DNA isolation methods that rely on cell lysis to release bacterial DNA, DFs can trigger the oxidative stress response of bacterial cells to promote bacterial membrane vesicle formation and DNA release by generating reactive oxygen species in aqueous solutions. Due to the hierarchical porous structure, DFs provided high DNA capture efficiency exceeding 80% over a wide range of DNA amounts from 10 pg to 10 ng, making only 10 μg DFs sufficient for each test. Since laborious liquid handling steps are not required, the entire DNA sample preparation process using DFs can be completed within 3 min. The diagnostic use of this DF-based methodology was illustrated, which showed that the DNA of the pathogenic bacteria in serum samples was isolated by DFs and directly detected using polymerase chain reaction (PCR) at concentrations as low as 102 CFU/mL, outperforming the most used approaches based on solid-phase DNA extraction. Furthermore, most of the bacterial cells were still alive after DNA isolation using DFs, providing the possibility of recycling samples for storage and further diagnosis. The proposed DF-based methodology is anticipated to simplify bacterial infection diagnosis and be broadly applied to various medical diagnoses and biological research.
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Affiliation(s)
- Yang Li
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266071, P. R. China
| | - Jiachen Sun
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266071, P. R. China
| | - Qing Wang
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266071, P. R. China
| | - Chang Su
- College of Marine Life Sciences, Ocean University of China, Qingdao 266003, P. R. China
| | - Xiguang Chen
- College of Marine Life Sciences, Ocean University of China, Qingdao 266003, P. R. China
- Sanya Oceanographic Institute, Ocean University of China, Floor 7, Building 1, Yonyou Industrial Park, Yazhou Bay Science & Technology City, Sanya 572025, P. R. China
| | - Cuiping Ma
- Shandong Provincial Key Laboratory of Biochemical Engineering, Qingdao Nucleic Acid Rapid Detection Engineering Research Center, Qingdao Key Laboratory of Nucleic Acid Rapid Detection, Sino-UAE International Cooperative Joint Laboratory of Pathogenic Microorganism Rapid Detection, College of Biological Engineering, Qingdao University of Science and Technology, Qingdao 266042, P. R. China
| | - Xuecheng Yang
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266071, P. R. China
| | - Chao Feng
- College of Marine Life Sciences, Ocean University of China, Qingdao 266003, P. R. China
- Sanya Oceanographic Institute, Ocean University of China, Floor 7, Building 1, Yonyou Industrial Park, Yazhou Bay Science & Technology City, Sanya 572025, P. R. China
| | - Chao Shi
- Qingdao Nucleic Acid Rapid Testing International Science and Technology Cooperation Base, College of Life Sciences, Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao University, Qingdao 266071, P. R. China
- Qingdao JianMa Gene Technology Co., Ltd., Qingdao 266114, P. R. China
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5
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Liu X, Ye Y, Ge Y, Qu J, Liedberg B, Zhang Q, Wang Y. Smart Contact Lenses for Healthcare Monitoring and Therapy. ACS NANO 2024; 18:6817-6844. [PMID: 38407063 DOI: 10.1021/acsnano.3c12072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
The eye contains a wealth of physiological information and offers a suitable environment for noninvasive monitoring of diseases via smart contact lens sensors. Although extensive research efforts recently have been undertaken to develop smart contact lens sensors, they are still in an early stage of being utilized as an intelligent wearable sensing platform for monitoring various biophysical/chemical conditions. In this review, we provide a general introduction to smart contact lenses that have been developed for disease monitoring and therapy. First, different disease biomarkers available from the ocular environment are summarized, including both physical and chemical biomarkers, followed by the commonly used materials, manufacturing processes, and characteristics of contact lenses. Smart contact lenses for eye-drug delivery with advancing technologies to achieve more efficient treatments are then introduced as well as the latest developments for disease diagnosis. Finally, sensor communication technologies and smart contact lenses for antimicrobial and other emerging bioapplications are also discussed as well as the challenges and prospects of the future development of smart contact lenses.
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Affiliation(s)
- Xiaohu Liu
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325001, China
| | - Ying Ye
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325001, China
| | - Yuancai Ge
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325001, China
| | - Jia Qu
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325001, China
| | - Bo Liedberg
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
| | - Qingwen Zhang
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325001, China
- Engineering Research Center of Clinical Functional Materials and Diagnosis & Treatment Devices of Zhejiang Province, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China
| | - Yi Wang
- School of Ophthalmology and Optometry, Eye Hospital, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325001, China
- Engineering Research Center of Clinical Functional Materials and Diagnosis & Treatment Devices of Zhejiang Province, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325001, China
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6
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Jiang KP, Bennett S, Heiniger EK, Kumar S, Yager P. UbiNAAT: a multiplexed point-of-care nucleic acid diagnostic platform for rapid at-home pathogen detection. LAB ON A CHIP 2024; 24:492-504. [PMID: 38164805 DOI: 10.1039/d3lc00753g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
The COVID-19 pandemic increased demands for respiratory disease testing to facilitate treatment and limit transmission, demonstrating in the process that most existing test options were too complex and expensive to perform in point-of-care or home scenarios. Lab-based molecular techniques can detect viral RNA in respiratory illnesses but are expensive and require trained personnel, while affordable antigen-based home tests lack sensitivity for early detection in newly infected or asymptomatic individuals. The few home RNA detection tests deployed were prohibitively expensive. Here, we demonstrate a point-of-care, paper-based rapid analysis device that simultaneously detects multiple viral RNAs; it is demonstrated on two common respiratory viruses (COVID-19 and influenza A) spiked onto a commercial nasal swab. The automated device requires no sample preparation by the user after insertion of the swab, minimizing user operation steps. We incorporated lyophilized amplification reagents immobilized in a porous matrix, a novel thermally actuated valve for multiplexed fluidic control, a printed circuit board that performs on-device lysis and amplification within a cell-phone-sized disposable device. Reverse transcription loop-mediated isothermal amplification (RT-LAMP) products are visualized via fluorescent dyes using a modified cell phone, resulting in detection of as few as 104 viral copies per swab across both pathogens within 30 minutes. This integrated platform could be commercialized in a form that would be inexpensive, portable, and sensitive; it can readily be multiplexed to detect as many as 8 different RNA or DNA sequences, and adapted to any desired RNA or DNA detection assays.
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Affiliation(s)
- Kevin P Jiang
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA.
| | - Steven Bennett
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA.
| | - Erin K Heiniger
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA.
| | - Sujatha Kumar
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA.
| | - Paul Yager
- Department of Bioengineering, University of Washington, Seattle, WA 98105, USA.
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7
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Yan X, Yang P, Qiu D, Chen D, Pan J, Zhang X, Ju H, Zhou J. Ligation-Based High-Performance Mimetic Enzyme Sensing Platform for Nucleic Acid Detection. Anal Chem 2024; 96:388-393. [PMID: 38153911 DOI: 10.1021/acs.analchem.3c04417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
G-quadruplex (G4)/hemin DNAzyme is a promising candidate to substitute horseradish peroxidase in biosensing systems, especially for the detection of nucleic acids. However, the relatively suboptimal catalytic capacity limits its potential applications. This makes it imperative to develop an ideal signal for the construction of highly sensitive biosensing platforms. Herein, we integrated a novel chimeric peptide-DNAzyme (CPDzyme) with the ligase chain reaction (LCR) for the cost-efficient and highly sensitive detection of nucleic acids. By employing microRNA (miRNA) and single-nucleotide polymorphism detection as the model, we designed a G4-forming sequence on the LCR probe with a terminally labeled amino group. Subsequently, asymmetric hemin with carboxylic arms allowed assembly with the LCR products and peptide to form CPDzyme, followed by the magnetic separation of the extraneous components and chemiluminescence detection. Compared with the conventional G4/hemin signaling-based method, the LCR-CPDzyme system demonstrated 3 orders of magnitude improved sensitivity, with accurate quantification of as low as 25 aM miRNA and differentiation of 0.1% of mutant DNA from the pool containing a large amount of wild-type DNA. The proposed LCR-CPDzyme strategy is a potentially powerful method for in vitro diagnostics and serves as a reference for the development of other ligation- or hybridization-based nucleic acid amplification assays.
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Affiliation(s)
- Xinrong Yan
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, P.R. China
| | - Peiru Yang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, P.R. China
| | - Dehui Qiu
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, P.R. China
| | - Desheng Chen
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, P.R. China
| | - Jianbin Pan
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, P.R. China
| | - Xiaobo Zhang
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, P.R. China
| | - Huangxian Ju
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, P.R. China
| | - Jun Zhou
- State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, P.R. China
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8
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Xia S, Wu W, Yin F, Shi J, Ma Y, Lin JM, Wu X, Hu Q. Surfactant-mediated colorimetric assay assisted with in-situ rolling circle amplification on magnetic beads. Anal Chim Acta 2023; 1278:341709. [PMID: 37709452 DOI: 10.1016/j.aca.2023.341709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/13/2023] [Accepted: 08/11/2023] [Indexed: 09/16/2023]
Abstract
Gold nanoparticles (AuNPs) with localized surface plasmon resonance effect have been widely used for colorimetric detection based on the interparticle plasmon coupling during AuNPs aggregation. However, it is still challenging to develop portable and quantitative methods with good sensitivity and excellent selectivity. In this study, a smartphone-based colorimetric assay is developed on the principle of surfactant-mediated AuNPs aggregation assisted with rolling circle amplification (RCA) on magnetic beads (MBs). The detection of adenosine is demonstrated as an example. The cetyl trimethyl ammonium bromide (CTAB) causes the negatively charged AuNPs to aggregate, which results in the color change from red to blue. When adenosine is in solution, the RCA process is triggered on the MBs because of specific adenosine-aptamer recognition, resulting in prolongation of single-stranded nucleic acid (ssDNA). The solution color remains red due to the electrostatic interaction between CTAB and ssDNA. Using this method, the limit of detection (LOD) for adenosine can be as low as 16 pM. Besides, it also works well in human serum. In addition, a portable device integrated with in-situ RGB analysis software is developed for the detection with a smartphone. This study offers a new strategy to improve the sensitivity and selectivity for the AuNPs-based colorimetric assay, taking advantages of specific aptamer recognition, in-situ RCA on MBs, magnetic separation, and smartphone-based portable device.
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Affiliation(s)
- Shuang Xia
- Qilu University of Technology (Shandong Academy of Sciences), Shandong Analysis and Test Center, Jinan, 250014, China; School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
| | - Wenli Wu
- Qilu University of Technology (Shandong Academy of Sciences), Shandong Analysis and Test Center, Jinan, 250014, China; School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China.
| | - Fangchao Yin
- Qilu University of Technology (Shandong Academy of Sciences), Shandong Analysis and Test Center, Jinan, 250014, China; School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
| | - Jianguo Shi
- Key Laboratory for Biosensors of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China
| | - Yaohong Ma
- Key Laboratory for Biosensors of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China
| | - Jin-Ming Lin
- Beijing Key Laboratory of Microanalytical Methods and Instrumentation, MOE Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Department of Chemistry, Tsinghua University, Beijing, 100084, China
| | - Xu Wu
- Department of Chemistry, University of South Dakota, Vermillion, SD, 57069, United States
| | - Qiongzheng Hu
- Qilu University of Technology (Shandong Academy of Sciences), Shandong Analysis and Test Center, Jinan, 250014, China; School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China.
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9
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Arumugam S, Ma J, Macar U, Han G, McAulay K, Ingram D, Ying A, Chellani HH, Chern T, Reilly K, Colburn DAM, Stanciu R, Duffy C, Williams A, Grys T, Chang SF, Sia SK. Rapidly adaptable automated interpretation of point-of-care COVID-19 diagnostics. COMMUNICATIONS MEDICINE 2023; 3:91. [PMID: 37353603 DOI: 10.1038/s43856-023-00312-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 06/01/2023] [Indexed: 06/25/2023] Open
Abstract
BACKGROUND Point-of-care diagnostic devices, such as lateral-flow assays, are becoming widely used by the public. However, efforts to ensure correct assay operation and result interpretation rely on hardware that cannot be easily scaled or image processing approaches requiring large training datasets, necessitating large numbers of tests and expert labeling with validated specimens for every new test kit format. METHODS We developed a software architecture called AutoAdapt POC that integrates automated membrane extraction, self-supervised learning, and few-shot learning to automate the interpretation of POC diagnostic tests using smartphone cameras in a scalable manner. A base model pre-trained on a single LFA kit is adapted to five different COVID-19 tests (three antigen, two antibody) using just 20 labeled images. RESULTS Here we show AutoAdapt POC to yield 99% to 100% accuracy over 726 tests (350 positive, 376 negative). In a COVID-19 drive-through study with 74 untrained users self-testing, 98% found image collection easy, and the rapidly adapted models achieved classification accuracies of 100% on both COVID-19 antigen and antibody test kits. Compared with traditional visual interpretation on 105 test kit results, the algorithm correctly identified 100% of images; without a false negative as interpreted by experts. Finally, compared to a traditional convolutional neural network trained on an HIV test kit, the algorithm showed high accuracy while requiring only 1/50th of the training images. CONCLUSIONS The study demonstrates how rapid domain adaptation in machine learning can provide quality assurance, linkage to care, and public health tracking for untrained users across diverse POC diagnostic tests.
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Affiliation(s)
- Siddarth Arumugam
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA
| | - Jiawei Ma
- Department of Computer Science, Columbia University, New York, NY, 10027, USA
| | - Uzay Macar
- Department of Computer Science, Columbia University, New York, NY, 10027, USA
| | - Guangxing Han
- Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA
| | - Kathrine McAulay
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, AZ, 85054, USA
| | | | - Alex Ying
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA
| | | | - Terry Chern
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA
| | - Kenta Reilly
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, AZ, 85054, USA
| | - David A M Colburn
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA
| | - Robert Stanciu
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA
| | - Craig Duffy
- Safe Health Systems, Inc., Los Angeles, CA, 90036, USA
| | | | - Thomas Grys
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, AZ, 85054, USA
| | - Shih-Fu Chang
- Department of Computer Science, Columbia University, New York, NY, 10027, USA.
- Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA.
| | - Samuel K Sia
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA.
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10
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Yang H, Ledesma-Amaro R, Gao H, Ren Y, Deng R. CRISPR-based biosensors for pathogenic biosafety. Biosens Bioelectron 2023; 228:115189. [PMID: 36893718 DOI: 10.1016/j.bios.2023.115189] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 12/30/2022] [Accepted: 03/01/2023] [Indexed: 03/06/2023]
Abstract
Pathogenic biosafety is a worldwide concern. Tools for analyzing pathogenic biosafety, that are precise, rapid and field-deployable, are highly demanded. Recently developed biotechnological tools, especially those utilizing CRISPR/Cas systems which can couple with nanotechnologies, have enormous potential to achieve point-of-care (POC) testing for pathogen infection. In this review, we first introduce the working principle of class II CRISPR/Cas system for detecting nucleic acid and non-nucleic acid biomarkers, and highlight the molecular assays that leverage CRISPR technologies for POC detection. We summarize the application of CRISPR tools in detecting pathogens, including pathogenic bacteria, viruses, fungi and parasites and their variants, and highlight the profiling of pathogens' genotypes or phenotypes, such as the viability, and drug-resistance. In addition, we discuss the challenges and opportunities of CRISPR-based biosensors in pathogenic biosafety analysis.
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Affiliation(s)
- Hao Yang
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, 610065, China
| | - Rodrigo Ledesma-Amaro
- Department of Bioengineering, Imperial College Centre for Synthetic Biology, Imperial College London, London, SW7 2AZ, UK
| | - Hong Gao
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, 610065, China
| | - Yao Ren
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, 610065, China.
| | - Ruijie Deng
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, 610065, China.
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11
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Wang Y, Chen H, Gao H, Wei H, Wang Y, Mu K, Liu L, Dai E, Rong Z, Wang S. CESSAT: A chemical additive-enhanced single-step accurate CRISPR/Cas13 testing system for field-deployable ultrasensitive detection and genotyping of SARS-CoV-2 variants of concern. Biosens Bioelectron 2023; 229:115238. [PMID: 36958206 PMCID: PMC10027308 DOI: 10.1016/j.bios.2023.115238] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 03/06/2023] [Accepted: 03/16/2023] [Indexed: 03/22/2023]
Abstract
The continued emergence of SARS-CoV-2 variants of concern (VOCs) has raised great challenges for epidemic prevention and control. A rapid, sensitive, and on-site SARS-CoV-2 genotyping technique is urgently needed for individual diagnosis and routine surveillance. Here, a field-deployable ultrasensitive CRISPR-based diagnostics system, called Chemical additive-Enhanced Single-Step Accurate CRISPR/Cas13 Testing system (CESSAT), for simultaneous screening of SARS-CoV-2 and its five VOCs (Alpha, Beta, Gamma, Delta, and Omicron) within 40 min was reported. In this system, a single-step reverse transcription recombinase polymerase amplification-CRISPR/Cas13a assay was incorporated with optimized extraction-free viral lysis and reagent lyophilization, which could eliminate complicated sample processing steps and rigorous reagent storage conditions. Remarkably, 10% glycine as a chemical additive could improve the assay sensitivity by 10 times, making the limit of detection as low as 1 copy/μL (5 copies/reaction). A compact optic fiber-integrated smartphone-based device was developed for sample lysis, assay incubation, fluorescence imaging, and result interpretation. CESSAT could specifically differentiate the synthetic pseudovirus of SARS-CoV-2 and its five VOCs. The genotyping results for 40 clinical samples were in 100% concordance with standard method. We believe this simple but efficient enhancement strategy can be widely incorporated with existing Cas13a-based assays, thus leading a substantial progress in the development and application of rapid, ultrasensitive, and accurate nucleic acid analysis technology.
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Affiliation(s)
- Yunxiang Wang
- Bioinformatics Center of AMMS, Beijing, 100850, PR China
| | - Hong Chen
- Bioinformatics Center of AMMS, Beijing, 100850, PR China
| | - Huixia Gao
- Department of Laboratory Medicine, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, PR China
| | - Hongjuan Wei
- Bioinformatics Center of AMMS, Beijing, 100850, PR China
| | - Yuling Wang
- Department of Laboratory Medicine, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, PR China
| | - Kai Mu
- Bioinformatics Center of AMMS, Beijing, 100850, PR China
| | - Liyan Liu
- Bioinformatics Center of AMMS, Beijing, 100850, PR China
| | - Erhei Dai
- Department of Laboratory Medicine, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, PR China.
| | - Zhen Rong
- Bioinformatics Center of AMMS, Beijing, 100850, PR China.
| | - Shengqi Wang
- Bioinformatics Center of AMMS, Beijing, 100850, PR China.
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12
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Naghdi T, Ardalan S, Asghari Adib Z, Sharifi AR, Golmohammadi H. Moving toward smart biomedical sensing. Biosens Bioelectron 2023; 223:115009. [PMID: 36565545 DOI: 10.1016/j.bios.2022.115009] [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: 07/02/2022] [Revised: 11/01/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
The development of novel biomedical sensors as highly promising devices/tools in early diagnosis and therapy monitoring of many diseases and disorders has recently witnessed unprecedented growth; more and faster than ever. Nonetheless, on the eve of Industry 5.0 and by learning from defects of current sensors in smart diagnostics of pandemics, there is still a long way to go to achieve the ideal biomedical sensors capable of meeting the growing needs and expectations for smart biomedical/diagnostic sensing through eHealth systems. Herein, an overview is provided to highlight the importance and necessity of an inevitable transition in the era of digital health/Healthcare 4.0 towards smart biomedical/diagnostic sensing and how to approach it via new digital technologies including Internet of Things (IoT), artificial intelligence, IoT gateways (smartphones, readers), etc. This review will bring together the different types of smartphone/reader-based biomedical sensors, which have been employing for a wide variety of optical/electrical/electrochemical biosensing applications and paving the way for future eHealth diagnostic devices by moving towards smart biomedical sensing. Here, alongside highlighting the characteristics/criteria that should be met by the developed sensors towards smart biomedical sensing, the challenging issues ahead are delineated along with a comprehensive outlook on this extremely necessary field.
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Affiliation(s)
- Tina Naghdi
- Nanosensors Bioplatforms Laboratory, Chemistry and Chemical Engineering Research Center of Iran, 14335-186, Tehran, Iran
| | - Sina Ardalan
- Nanosensors Bioplatforms Laboratory, Chemistry and Chemical Engineering Research Center of Iran, 14335-186, Tehran, Iran
| | - Zeinab Asghari Adib
- Nanosensors Bioplatforms Laboratory, Chemistry and Chemical Engineering Research Center of Iran, 14335-186, Tehran, Iran
| | - Amir Reza Sharifi
- Nanosensors Bioplatforms Laboratory, Chemistry and Chemical Engineering Research Center of Iran, 14335-186, Tehran, Iran
| | - Hamed Golmohammadi
- Nanosensors Bioplatforms Laboratory, Chemistry and Chemical Engineering Research Center of Iran, 14335-186, Tehran, Iran.
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13
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Song M, Hong S, Lee LP. Multiplexed Ultrasensitive Sample-to-Answer RT-LAMP Chip for the Identification of SARS-CoV-2 and Influenza Viruses. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2207138. [PMID: 36398425 DOI: 10.1002/adma.202207138] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Prompt on-site diagnosis of SARS-CoV-2 with other respiratory infections will have minimized the global impact of the COVID-19 pandemic through rapid, effective management. However, no such multiplex point-of-care (POC) chip has satisfied a suitable sensitivity of gold-standard nucleic acid amplification tests (NAATs). Here, a rapid multiplexed ultrasensitive sample-to-answer loop-mediated isothermal amplification (MUSAL) chip operated by simple LED-driven photothermal amplification to detect six targets from single-swab sampling is presented. First, the MUSAL chip allows ultrafast on-chip sample preparation with ≈500-fold preconcentration at a rate of 1.2 mL min-1 . Second, the chip enables contamination-free amplification using autonomous target elution into on-chip reagents by photothermal activation. Finally, the chip accomplishes multiplexed on-chip diagnostics of SARS-CoV-2 and influenza viruses with a limit of detection (LoD) of 0.5 copies µL-1 . The rapid, ultrasensitive, cost-effective sample-to-answer chip with a multiplex capability will allow timely management of various pandemics situations that may be faced shortly.
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Affiliation(s)
- Minsun Song
- Harvard Medical School, Harvard University, Boston, MA, 02115, USA
- Division of Engineering in Medicine and Renal Division, Department of Medicine, Brigham Women's Hospital, Boston, MA, 02115, USA
| | - SoonGweon Hong
- Harvard Medical School, Harvard University, Boston, MA, 02115, USA
- Division of Engineering in Medicine and Renal Division, Department of Medicine, Brigham Women's Hospital, Boston, MA, 02115, USA
| | - Luke P Lee
- Harvard Medical School, Harvard University, Boston, MA, 02115, USA
- Division of Engineering in Medicine and Renal Division, Department of Medicine, Brigham Women's Hospital, Boston, MA, 02115, USA
- Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, 94720, USA
- Department of Biophysics, Institute of Quantum Biophysics, Sungkyunkwan University (SKKU), Suwon, Gyeonggi-do, 16419, Republic of Korea
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14
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Song M, Wong MC, Li L, Guo F, Liu Y, Ma Y, Lao X, Wang P, Chen H, Yang M, Hao J. Rapid point-of-care detection of SARS-CoV-2 RNA with smartphone-based upconversion luminescence diagnostics. Biosens Bioelectron 2023; 222:114987. [PMID: 36495722 PMCID: PMC9721270 DOI: 10.1016/j.bios.2022.114987] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 12/02/2022] [Accepted: 12/03/2022] [Indexed: 12/12/2022]
Abstract
Accurate COVID-19 screening via molecular technologies is still hampered by bulky instrumentation, complicated procedure, high cost, lengthy testing time, and the need for specialized personnel. Herein, we develop point-of-care upconversion luminescence diagnostics (PULD), and a streamlined smartphone-based portable platform facilitated by a ready-to-use assay for rapid SARS-CoV-2 nucleocapsid (N) gene testing. With the complementary oligo-modified upconversion nanoprobes and gold nanoprobes specifically hybridized with the target N gene, the luminescence resonance energy transfer effect leads to a quenching of fluorescence intensity that can be detected by the easy-to-use diagnostic system. A remarkable detection limit of 11.46 fM is achieved in this diagnostic platform without the need of target amplification, demonstrating high sensitivity and signal-to-noise ratio of the assay. The capability of the developed PULD is further assessed by probing 9 RT-qPCR-validated SARS-CoV-2 variant clinical samples (B.1.1.529/Omicron) within 20 min, producing reliable diagnostic results consistent with those obtained from a standard fluorescence spectrometer. Importantly, PULD is capable of identifying the positive COVID-19 samples with superior sensitivity and specificity, making it a promising front-line tool for rapid, high-throughput screening and infection control of COVID-19 or other infectious diseases.
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Affiliation(s)
- Menglin Song
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China
| | - Man-Chung Wong
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China
| | - Lihua Li
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China
| | - Feng Guo
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China
| | - Yuan Liu
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China
| | - Yingjing Ma
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China
| | - Xinyue Lao
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China
| | - Pui Wang
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, 999077, Hong Kong, China
| | - Honglin Chen
- State Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, 999077, Hong Kong, China
| | - Mo Yang
- Department of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China
| | - Jianhua Hao
- Department of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China,Corresponding author
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15
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Dual-mode visual detection strategies of viable pathogens for point-of-care testing. Biosens Bioelectron 2022; 221:114904. [DOI: 10.1016/j.bios.2022.114904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/31/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022]
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16
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Resettable sweat-powered wearable electrochromic biosensor. Biosens Bioelectron 2022; 215:114565. [DOI: 10.1016/j.bios.2022.114565] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 12/15/2022]
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17
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Jankelow AM, Lee H, Wang W, Hoang TH, Bacon A, Sun F, Chae S, Kindratenko V, Koprowski K, Stavins RA, Ceriani DD, Engelder ZW, King WP, Do MN, Bashir R, Valera E, Cunningham BT. Smartphone clip-on instrument and microfluidic processor for rapid sample-to-answer detection of Zika virus in whole blood using spatial RT-LAMP. Analyst 2022; 147:3838-3853. [PMID: 35726910 PMCID: PMC9399074 DOI: 10.1039/d2an00438k] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Rapid, simple, inexpensive, accurate, and sensitive point-of-care (POC) detection of viral pathogens in bodily fluids is a vital component of controlling the spread of infectious diseases. The predominant laboratory-based methods for sample processing and nucleic acid detection face limitations that prevent them from gaining wide adoption for POC applications in low-resource settings and self-testing scenarios. Here, we report the design and characterization of an integrated system for rapid sample-to-answer detection of a viral pathogen in a droplet of whole blood comprised of a 2-stage microfluidic cartridge for sample processing and nucleic acid amplification, and a clip-on detection instrument that interfaces with the image sensor of a smartphone. The cartridge is designed to release viral RNA from Zika virus in whole blood using chemical lysis, followed by mixing with the assay buffer for performing reverse-transcriptase loop-mediated isothermal amplification (RT-LAMP) reactions in six parallel microfluidic compartments. The battery-powered handheld detection instrument uniformly heats the compartments from below, and an array of LEDs illuminates from above, while the generation of fluorescent reporters in the compartments is kinetically monitored by collecting a series of smartphone images. We characterize the assay time and detection limits for detecting Zika RNA and gamma ray-deactivated Zika virus spiked into buffer and whole blood and compare the performance of the same assay when conducted in conventional PCR tubes. Our approach for kinetic monitoring of the fluorescence-generating process in the microfluidic compartments enables spatial analysis of early fluorescent "bloom" events for positive samples, in an approach called "Spatial LAMP" (S-LAMP). We show that S-LAMP image analysis reduces the time required to designate an assay as a positive test, compared to conventional analysis of the average fluorescent intensity of the entire compartment. S-LAMP enables the RT-LAMP process to be as short as 22 minutes, resulting in a total sample-to-answer time in the range of 17-32 minutes to distinguish positive from negative samples, while demonstrating a viral RNA detection as low as 2.70 × 102 copies per μl, and a gamma-irradiated virus of 103 virus particles in a single 12.5 μl droplet blood sample.
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Affiliation(s)
- Aaron M Jankelow
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Hankeun Lee
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Weijing Wang
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Trung-Hieu Hoang
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Amanda Bacon
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Fu Sun
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Seol Chae
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Victoria Kindratenko
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Katherine Koprowski
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Robert A Stavins
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | | | | | - William P King
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Minh N Do
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Rashid Bashir
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Center for Genomic Diagnostics, Woese Institute for Genomic Biology, Urbana, IL 61801, USA
| | - Enrique Valera
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Brian T Cunningham
- Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
- Nick Holonyak Jr Micro and Nanotechnology Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Center for Genomic Diagnostics, Woese Institute for Genomic Biology, Urbana, IL 61801, USA
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18
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A smart tablet-phone-based system using dynamic light modulation for highly sensitive colorimetric biosensing. Talanta 2022; 252:123862. [DOI: 10.1016/j.talanta.2022.123862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/09/2022] [Accepted: 08/18/2022] [Indexed: 11/20/2022]
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19
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He F, Lv X, Li X, Yao M, Li K, Deng Y. Fluorescent microspheres lateral flow assay integrated with Smartphone-based reader for multiple microRNAs detection. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107551] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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20
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Yang T, Luo Z, Bewal T, Li L, Xu Y, Mahdi Jafari S, Lin X. When smartphone enters food safety: A review in on-site analysis for foodborne pathogens using smartphone-assisted biosensors. Food Chem 2022; 394:133534. [PMID: 35752124 DOI: 10.1016/j.foodchem.2022.133534] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/23/2022] [Accepted: 06/18/2022] [Indexed: 11/16/2022]
Abstract
Pathogens are one of the supreme threats for the public health around the world in food supply chain. The on-site monitoring is an emerging trend for screening pathogens during the food processing and preserving. Traditional analytical tools have been unable to satisfy the current demands. Smartphones have enormous potentials for achieving on-site detection of foodborne pathogens, with intrinsic advantages such as small size, high accessibility, fast processing speed, and powerful imaging capacity. This review aims to synthesize the current advances in smartphone-assisted biosensors (SABs) for sensing foodborne pathogens, and briefly put forward the problem that consist in the research. We present the role of nanotechnology and recognition modes targeting foodborne pathogens in SABs, and discuss the signal conversion platforms coupling with smartphone. The challenges and perspectives in SABs are also proposed. The smartphone analytics area is moving forward, and it much be subject to careful quality standards and validation.
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Affiliation(s)
- Tao Yang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China; Ningbo Research Institute, Zhejiang University, Ningbo, China
| | - Tarun Bewal
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Li Li
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Yanqun Xu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China; Ningbo Research Institute, Zhejiang University, Ningbo, China
| | - Seid Mahdi Jafari
- Department of Food Materials and Process Design Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
| | - Xingyu Lin
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China; State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China; Ningbo Research Institute, Zhejiang University, Ningbo, China.
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21
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Yang J, Cheng Y, Gong X, Yi S, Li CW, Jiang L, Yi C. An integrative review on the applications of 3D printing in the field of in vitro diagnostics. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2021.08.105] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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22
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Luo T, Li J, He Y, Liu H, Deng Z, Long X, Wan Q, Ding J, Gong Z, Yang Y, Zhong S. Designing a CRISPR/Cas12a- and Au-Nanobeacon-Based Diagnostic Biosensor Enabling Direct, Rapid, and Sensitive miRNA Detection. Anal Chem 2022; 94:6566-6573. [PMID: 35451838 DOI: 10.1021/acs.analchem.2c00401] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Direct, rapid, sensitive, and selective detection of nucleic acids in complex biological fluids is crucial for medical early diagnosis. We herein combine the trans-cleavage ability of clustered regularly interspaced short palindromic repeats (CRISPR)/Cas12a with Au-nanobeacon to establish a CRISPR-based biosensor, providing rapid miRNA detection with high speed and attomolar sensitivity. In this strategy, we first report that the trans-cleavage activity of CRISPR/cas12a, which was previously reported to be triggered only by target ssDNA or dsDNA, can be activated by the target miRNA directly. Therefore, this method is direct, i.e., does not need the conversion of miRNA into its complementary DNA (cDNA). Meanwhile, as compared to the traditional ssDNA reporters and molecular beacon (MB) reporters, the Au-nanobeacon reporters exhibit improved reaction kinetics and sensitivity. In this assay, the miRNA-21 could be detected with very high sensitivity in only 5 min. Finally, the proposed strategy enables rapid, sensitive, and selective miRNA determination in complex biological samples, providing a potential tool for medical early diagnosis.
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Affiliation(s)
- Tong Luo
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Jiacheng Li
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Yao He
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Hui Liu
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Zhiwei Deng
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Xi Long
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Qingqing Wan
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Jiacheng Ding
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Zan Gong
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Yanjing Yang
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
| | - Shian Zhong
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, P. R. China
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23
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Wan Y, Zong C, Li X, Wang A, Li Y, Yang T, Bao Q, Dubow M, Yang M, Rodrigo LA, Mao C. New Insights for Biosensing: Lessons from Microbial Defense Systems. Chem Rev 2022; 122:8126-8180. [PMID: 35234463 DOI: 10.1021/acs.chemrev.1c01063] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Microorganisms have gained defense systems during the lengthy process of evolution over millions of years. Such defense systems can protect them from being attacked by invading species (e.g., CRISPR-Cas for establishing adaptive immune systems and nanopore-forming toxins as virulence factors) or enable them to adapt to different conditions (e.g., gas vesicles for achieving buoyancy control). These microorganism defense systems (MDS) have inspired the development of biosensors that have received much attention in a wide range of fields including life science research, food safety, and medical diagnosis. This Review comprehensively analyzes biosensing platforms originating from MDS for sensing and imaging biological analytes. We first describe a basic overview of MDS and MDS-inspired biosensing platforms (e.g., CRISPR-Cas systems, nanopore-forming proteins, and gas vesicles), followed by a critical discussion of their functions and properties. We then discuss several transduction mechanisms (optical, acoustic, magnetic, and electrical) involved in MDS-inspired biosensing. We further detail the applications of the MDS-inspired biosensors to detect a variety of analytes (nucleic acids, peptides, proteins, pathogens, cells, small molecules, and metal ions). In the end, we propose the key challenges and future perspectives in seeking new and improved MDS tools that can potentially lead to breakthrough discoveries in developing a new generation of biosensors with a combination of low cost; high sensitivity, accuracy, and precision; and fast detection. Overall, this Review gives a historical review of MDS, elucidates the principles of emulating MDS to develop biosensors, and analyzes the recent advancements, current challenges, and future trends in this field. It provides a unique critical analysis of emulating MDS to develop robust biosensors and discusses the design of such biosensors using elements found in MDS, showing that emulating MDS is a promising approach to conceptually advancing the design of biosensors.
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Affiliation(s)
- Yi Wan
- State Key Laboratory of Marine Resource Utilization in the South China Sea, School of Pharmaceutical Sciences, Marine College, Hainan University, Haikou 570228, P. R. China
| | - Chengli Zong
- State Key Laboratory of Marine Resource Utilization in the South China Sea, School of Pharmaceutical Sciences, Marine College, Hainan University, Haikou 570228, P. R. China
| | - Xiangpeng Li
- Department of Bioengineering and Therapeutic Sciences, Schools of Medicine and Pharmacy, University of California, San Francisco, 1700 Fourth Street, Byers Hall 303C, San Francisco, California 94158, United States
| | - Aimin Wang
- State Key Laboratory of Marine Resource Utilization in the South China Sea, School of Pharmaceutical Sciences, Marine College, Hainan University, Haikou 570228, P. R. China
| | - Yan Li
- College of Animal Science, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Tao Yang
- School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Qing Bao
- School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Michael Dubow
- Institute for Integrative Biology of the Cell (I2BC), UMR 9198 CNRS, CEA, Université Paris-Saclay, Campus C.N.R.S, Bâtiment 12, Avenue de la Terrasse, 91190 Gif-sur-Yvette, France
| | - Mingying Yang
- College of Animal Science, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
| | - Ledesma-Amaro Rodrigo
- Imperial College Centre for Synthetic Biology, Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - Chuanbin Mao
- Department of Chemistry & Biochemistry, Stephenson Life Science Research Center, University of Oklahoma, 101 Stephenson Parkway, Norman, Oklahoma 73019, United States.,School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, P. R. China
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24
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Recombinase polymerase amplification integrated with microfluidics for nucleic acid testing at point of care. Talanta 2022; 240:123209. [PMID: 35026642 DOI: 10.1016/j.talanta.2022.123209] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 12/30/2021] [Accepted: 01/03/2022] [Indexed: 12/12/2022]
Abstract
Nucleic acid testing (NAT) implemented on a portable, miniaturized, and integrated device with rapid and sensitive results readout is highly demanded for pathogen detection or genetic screening at resource-limited settings, especially after the outbreak of coronavirus disease 2019 (COVID-19). The integration of recombinase polymerase amplification (RPA) with emerging microfluidics, classified by paper-based microfluidics and chip-based microfluidics, shows great potential to perform laboratory independent NAT assays at point of care with minimal labor, time and energy consumption. This review summarizes the state-of-the-art of RPA integrated with paper-based microfluidics and chip-based microfluidics, and discusses their pros and cons. Finally, existing challenges and possible ways for optimization of microfluidics-based RPA are proposed.
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25
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Heithoff DM, Barnes L, Mahan SP, Fox GN, Arn KE, Ettinger SJ, Bishop AM, Fitzgibbons LN, Fried JC, Low DA, Samuel CE, Mahan MJ. Assessment of a Smartphone-Based Loop-Mediated Isothermal Amplification Assay for Detection of SARS-CoV-2 and Influenza Viruses. JAMA Netw Open 2022; 5:e2145669. [PMID: 35089353 PMCID: PMC8800074 DOI: 10.1001/jamanetworkopen.2021.45669] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Importance A critical need exists in low-income and middle-income countries for low-cost, low-tech, yet highly reliable and scalable testing for SARS-CoV-2 virus that is robust against circulating variants. Objective To assess whether a smartphone-based assay is suitable for SARS-CoV-2 and influenza virus testing without requiring specialized equipment, accessory devices, or custom reagents. Design, Setting, and Participants This cohort study enrolled 2 subgroups of participants (symptomatic and asymptomatic) at Santa Barbara Cottage Hospital. The symptomatic group consisted of 20 recruited patients who tested positive for SARS-CoV-2 with symptoms; 30 asymptomatic patients were recruited from the same community, through negative admission screening tests for SARS-CoV-2. The smartphone-based real-time loop-mediated isothermal amplification (smaRT-LAMP) was first optimized for analysis of human saliva samples spiked with either SARS-CoV-2 or influenza A or B virus; these results then were compared with those obtained by side-by-side analysis of spiked samples using the Centers for Disease Control and Prevention (CDC) criterion-standard reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR) assay. Next, both assays were used to test for SARS-CoV-2 and influenza viruses present in blinded clinical saliva samples obtained from 50 hospitalized patients. Statistical analysis was performed from May to June 2021. Exposures Testing for SARS-CoV-2 and influenza A and B viruses. Main Outcomes and Measures SARS-CoV-2 and influenza infection status and quantitative viral load were determined. Results Among the 50 eligible participants with no prior SARS-CoV-2 infection included in the study, 29 were men. The mean age was 57 years (range, 21 to 93 years). SmaRT-LAMP exhibited 100% concordance (50 of 50 patient samples) with the CDC criterion-standard diagnostic for SARS-CoV-2 sensitivity (20 of 20 positive and 30 of 30 negative) and for quantitative detection of viral load. This platform also met the CDC criterion standard for detection of clinically similar influenza A and B viruses in spiked saliva samples (n = 20), and in saliva samples from hospitalized patients (50 of 50 negative). The smartphone-based LAMP assay was rapid (25 minutes), sensitive (1000 copies/mL), low-cost (<$7/test), and scalable (96 samples/phone). Conclusions and Relevance In this cohort study of saliva samples from patients, the smartphone-based LAMP assay detected SARS-CoV-2 infection and exhibited concordance with RT-qPCR tests. These findings suggest that this tool could be adapted in response to novel CoV-2 variants and other pathogens with pandemic potential including influenza and may be useful in settings with limited resources.
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Affiliation(s)
- Douglas M Heithoff
- Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, Santa Barbara
- Institute for Collaborative Biotechnologies, University of California, Santa Barbara, Santa Barbara
| | - Lucien Barnes
- Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, Santa Barbara
| | - Scott P Mahan
- Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, Santa Barbara
- Institute for Collaborative Biotechnologies, University of California, Santa Barbara, Santa Barbara
- Department of Medical Microbiology and Immunology, School of Medicine, University of California, Davis, Davis
| | - Gary N Fox
- Department of Materials and Department of Mechanical Engineering, University of California, Santa Barbara, Santa Barbara
| | - Katherine E Arn
- Department of Medical Education, Santa Barbara Cottage Hospital, Santa Barbara, California
| | - Sarah J Ettinger
- Department of Medical Education, Santa Barbara Cottage Hospital, Santa Barbara, California
| | - Andrew M Bishop
- Department of Medical Education, Santa Barbara Cottage Hospital, Santa Barbara, California
| | - Lynn N Fitzgibbons
- Department of Medical Education, Santa Barbara Cottage Hospital, Santa Barbara, California
- Division of Infectious Diseases, Santa Barbara Cottage Hospital, Santa Barbara, California
| | - Jeffrey C Fried
- Department of Medical Education, Santa Barbara Cottage Hospital, Santa Barbara, California
- Department of Pulmonary and Critical Care Medicine, Santa Barbara Cottage Hospital, Santa Barbara, California
| | - David A Low
- Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, Santa Barbara
- Institute for Collaborative Biotechnologies, University of California, Santa Barbara, Santa Barbara
| | - Charles E Samuel
- Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, Santa Barbara
| | - Michael J Mahan
- Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, Santa Barbara
- Institute for Collaborative Biotechnologies, University of California, Santa Barbara, Santa Barbara
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26
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Lin X, Fang M, Yi C, Jiang Y, Zhang C, Pan X, Luo Z. Functional hydrogel for fast, precise and inhibition-free point-of-care bacteria analysis in crude food samples. Biomaterials 2021; 280:121278. [PMID: 34871876 DOI: 10.1016/j.biomaterials.2021.121278] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 10/30/2021] [Accepted: 11/23/2021] [Indexed: 11/02/2022]
Abstract
In this work, instead of performing nucleic acid amplification in the bulk solution, we report a nanoporous hydrogel with controlled release function for rapid, precise, and inhibition-free nucleic acid analysis in crude food samples. The cross-linked PEG hydrogel with nanoporous structures possesses adsorption, release, separation, restriction and self-cleaning abilities. When digital loop-mediated isothermal amplification (LAMP) was performed inside this hydrogel, the surrounding nanostructure act as a temporary reservoir for reagents storage and release them on demand during or after amplification. Meanwhile, the restricted nanoconfined environment of hydrogel also favor the enzymatic amplification process. Thus, an enhanced signal readout, robust anti-inhibition, faster amplification rate, more products yields and specific amplification without primer-dimers were obtained. Moreover, direct amplification in untreated complex food sample was successfully performed inside hydrogel without any sample pretreatment, while conventional droplets digital LAMP failed for detection. Absolute quantification of Escherichia coli and Salmonella typhi directly in fresh fruit and vegetables was achieved within 20 min, with high precision and sensitivity down to single cell. This novel lab-on-hydrogel concept has an enormous potential for future molecular diagnostic assays, and can be also applied for other point-of-care assays.
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Affiliation(s)
- Xingyu Lin
- College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, PR China.
| | - Mei Fang
- College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, PR China; College of Environment, Zhejiang University of Technology, Hangzhou, 310014, PR China
| | - Changyu Yi
- College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, PR China; College of Environment, Zhejiang University of Technology, Hangzhou, 310014, PR China
| | - Yan Jiang
- Chemistry Instrumentation Center, Department of Chemistry, Zhejiang University, Hangzhou, 310027, China
| | - Chao Zhang
- College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, PR China
| | - Xiangliang Pan
- College of Environment, Zhejiang University of Technology, Hangzhou, 310014, PR China
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang University, Hangzhou, 310058, PR China
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27
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Shih SR, Bach DM, Rondeau NC, Sam J, Lovinger NL, Lopatkin AJ, Snow JW. Honey bee sHSP are responsive to diverse proteostatic stresses and potentially promising biomarkers of honey bee stress. Sci Rep 2021; 11:22087. [PMID: 34764357 PMCID: PMC8586346 DOI: 10.1038/s41598-021-01547-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 10/29/2021] [Indexed: 11/09/2022] Open
Abstract
The pollination services provided by the honey bee are critical in both natural and agricultural ecosystems. Honey bee colonies in the United States have suffered from an increased rate of die-off in recent years, stemming from a complex set of interacting stresses that remain poorly described. Defining specific common cellular processes and cellular stress responses impacted by multiple stressors represent a key step in understanding these synergies. Proteotoxic stresses negatively impact protein synthesis, folding, and degradation. Diverse proteotoxic stresses induce expression of genes encoding small heat shock proteins (sHSP) of the expanded lethal (2) essential for life (l(2)efl) gene family. In addition to upregulation by the Integrated Stress Response (ISR), the Heat Shock Response (HSR), and the Oxidative Stress Response (OSR), our data provide first evidence that sHSP genes are upregulated by the Unfolded Protein Response (UPR). As these genes appear to be part of a core stress response that could serve as a useful biomarker for cellular stress in honey bees, we designed and tested an RT-LAMP assay to detect increased l(2)efl gene expression in response to heat-stress. While this assay provides a powerful proof of principle, further work will be necessary to link changes in sHSP gene expression to colony-level outcomes, to adapt our preliminary assay into a Point of Care Testing (POCT) assay appropriate for use as a diagnostic tool for use in the field, and to couple assay results to management recommendations.
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Affiliation(s)
- Samantha R Shih
- Biology Department, Barnard College, New York, NY, 10027, USA
| | - Dunay M Bach
- Biology Department, Barnard College, New York, NY, 10027, USA
| | | | - Jessica Sam
- Biology Department, Barnard College, New York, NY, 10027, USA
| | | | | | - Jonathan W Snow
- Biology Department, Barnard College, New York, NY, 10027, USA.
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28
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Hambalek JA, Kong JE, Brown C, Munoz HE, Horn T, Bogumil M, Quick E, Ozcan A, Di Carlo D. Methylation-Sensitive Loop-Mediated Isothermal Amplification (LAMP): Nucleic Acid Methylation Detection through LAMP with Mobile Fluorescence Readout. ACS Sens 2021; 6:3242-3252. [PMID: 34467761 DOI: 10.1021/acssensors.1c00902] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The emergence of epigenetic gene regulation and its role in disease have motivated a growing field of epigenetic diagnostics for risk assessment and screening. In particular, irregular cytosine DNA base methylation has been implicated in several diseases, yet the methods for detecting these epigenetic marks are limited to lengthy protocols requiring bulky and costly equipment. We demonstrate a simple workflow for detecting methylated CpG dinucleotides in synthetic and genomic DNA samples using methylation-sensitive restriction enzyme digestion followed by loop-mediated isothermal amplification. We additionally demonstrate a cost-effective mobile fluorescence reader comprising a light-emitting diode bundle, a mirror, and optical fibers to transduce fluorescence signals associated with DNA amplification. The workflow can be performed in approximately 1 h, requiring only a simple heat source, and can therefore provide a foundation for distributable point-of-care testing of DNA methylation levels.
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Affiliation(s)
- Jacob Amos Hambalek
- Department of Bioengineering, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Janay Elise Kong
- Department of Bioengineering, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Calvin Brown
- Department of Electrical & Computer Engineering, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Hector Enrique Munoz
- Department of Bioengineering, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Thomas Horn
- Department of Bioengineering, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Michael Bogumil
- Department of Bioengineering, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Eleni Quick
- Department of Bioengineering, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Aydogan Ozcan
- Department of Electrical & Computer Engineering, University of California Los Angeles, Los Angeles, California 90095, United States
| | - Dino Di Carlo
- Department of Bioengineering, University of California Los Angeles, Los Angeles, California 90095, United States
- Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California 90024, United States
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29
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Merazzo KJ, Totoricaguena-Gorriño J, Fernández-Martín E, del Campo FJ, Baldrich E. Smartphone-Enabled Personalized Diagnostics: Current Status and Future Prospects. Diagnostics (Basel) 2021; 11:diagnostics11061067. [PMID: 34207908 PMCID: PMC8230325 DOI: 10.3390/diagnostics11061067] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 06/01/2021] [Accepted: 06/08/2021] [Indexed: 12/18/2022] Open
Abstract
Smartphones are becoming increasingly versatile thanks to the wide variety of sensor and actuator systems packed in them. Mobile devices today go well beyond their original purpose as communication devices, and this enables important new applications, ranging from augmented reality to the Internet of Things. Personalized diagnostics is one of the areas where mobile devices can have the greatest impact. Hitherto, the camera and communication abilities of these devices have been barely exploited for point of care (POC) purposes. This short review covers the recent evolution of mobile devices in the area of POC diagnostics and puts forward some ideas that may facilitate the development of more advanced applications and devices in the area of personalized diagnostics. With this purpose, the potential exploitation of wireless power and actuation of sensors and biosensors using near field communication (NFC), the use of the screen as a light source for actuation and spectroscopic analysis, using the haptic module to enhance mass transport in micro volumes, and the use of magnetic sensors are discussed.
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Affiliation(s)
- Karla Jaimes Merazzo
- Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain; (K.J.M.); (J.T.-G.); (E.F.-M.)
| | - Joseba Totoricaguena-Gorriño
- Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain; (K.J.M.); (J.T.-G.); (E.F.-M.)
| | - Eduardo Fernández-Martín
- Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain; (K.J.M.); (J.T.-G.); (E.F.-M.)
| | - F. Javier del Campo
- Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain; (K.J.M.); (J.T.-G.); (E.F.-M.)
- IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain
- Correspondence: (F.J.d.C.); (E.B)
| | - Eva Baldrich
- Diagnostic Nanotools Group, CIBBIM-Nanomedicine, Vall d’Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
- Correspondence: (F.J.d.C.); (E.B)
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30
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Paul R, Ostermann E, Chen Y, Saville AC, Yang Y, Gu Z, Whitfield AE, Ristaino JB, Wei Q. Integrated microneedle-smartphone nucleic acid amplification platform for in-field diagnosis of plant diseases. Biosens Bioelectron 2021; 187:113312. [PMID: 34004545 DOI: 10.1016/j.bios.2021.113312] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 04/20/2021] [Accepted: 05/04/2021] [Indexed: 01/09/2023]
Abstract
We demonstrate an integrated microneedle (MN)-smartphone nucleic acid amplification platform for "sample-to-answer" diagnosis of multiplexed plant pathogens within 30 min. This portable system consists of a polymeric MN patch for rapid nucleic acid extraction within a minute and a 3D-printed smartphone imaging device for loop-mediated isothermal amplification (LAMP) reaction and detection. We expanded the extraction of the MN technology for DNA targets as in the previous study (ACS Nano, 2019, 13, 6540-6549) to more fragile RNA biomarkers, evaluated the storability of the extracted nucleic acid samples on MN surfaces, and developed a smartphone-based LAMP amplification and fluorescent reader device that can quantify four LAMP reactions on the same chip. In addition, we have found that the MN patch containing as few as a single needle tip successfully extracted enough RNA for RT-PCR or RT-LAMP analysis. Moreover, MN-extracted RNA samples remained stable on MN surfaces for up to three days. The MN-smartphone platform has been used to detect both Phytophthora infestans DNA and tomato spotted wilt virus (TSWV) RNA down to 1 pg, comparable to the results from a benchtop thermal cycler. Finally, multiplexed detection of P. infestans and TSWV through a single extraction from infected tomato leaves and amplification on the smartphone without benchtop equipment was demonstrated.
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Affiliation(s)
- Rajesh Paul
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27696, USA
| | - Emily Ostermann
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27696, USA
| | - Yuting Chen
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, 27695, USA
| | - Amanda C Saville
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, 27695, USA
| | - Yuming Yang
- Department of Agrotechnology and Food Sciences, Wageningen University, 6708, PB, Wageningen, Netherlands
| | - Zhen Gu
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China; Zhejiang Laboratory of Systems and Precision Medicine, Zhejiang University Medical Cencter, Hangzhou, Zhejing, 310058, China; Deparment of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, China
| | - Anna E Whitfield
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, 27695, USA; Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC, 27696, USA
| | - Jean B Ristaino
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, NC, 27695, USA; Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC, 27696, USA
| | - Qingshan Wei
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27696, USA; Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC, 27696, USA.
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31
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Zhu J, Yang B, Liu W, Li B, Jin Y. In-situ generation of potassium ferricyanide for label-free and enzyme-free chemiluminescence detection of telomerase activity. Anal Chim Acta 2021; 1165:338550. [PMID: 33975699 DOI: 10.1016/j.aca.2021.338550] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 04/13/2021] [Accepted: 04/14/2021] [Indexed: 01/24/2023]
Abstract
Chemiluminescence (CL) assay is a promising point-of-care testing (POCT) technology due to the fast response, high sensitivity, and easy miniaturization. The application and performance of CL POCT method were highly dependent on the CL reaction. Herein, based on the CL reaction between luminol and in-situ generated K3Fe(CN)6, a low-cost, enzyme-free, and label-free CL POCT method was explored via a portable and handheld luminometer to detect telomerase activity. Telomerase elongated telomere substrate (TS) primer to form (TTAGGG)n repeats which hybridize with multiple short DNAs. The intercalation of SYBR Green I (SGI) into double-stranded DNA (dsDNA) generated singlet oxygen under the irradiation of LED light source. Singlet oxygen was then employed for in-situ oxidation of K4Fe(CN)6 to K3Fe(CN)6, which could react with luminol to generate a strong CL intensity. Thus, telomerase activity could be specifically, sensitively, and label-free detected. The detection limit was down to 98 HeLa cells. The detection process was very simple, and the cost was about $0.01 for each measurement. Furthermore, telomerase activity was detectable in human serum samples, with spike recoveries from 96% to 105%. According to our knowledge, it is the first effort to develop a low-cost, label-free and enzyme-free CL method with good repeatability for detecting biomarker based on the analyte-triggered and in-situ generated K3Fe(CN)6/luminol CL reaction.
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Affiliation(s)
- Jinrui Zhu
- Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, China
| | - Bing Yang
- Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, China
| | - Wei Liu
- Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, China
| | - Baoxin Li
- Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, China
| | - Yan Jin
- Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, China.
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32
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Wang C, Liu M, Wang Z, Li S, Deng Y, He N. Point-of-care diagnostics for infectious diseases: From methods to devices. NANO TODAY 2021; 37:101092. [PMID: 33584847 PMCID: PMC7864790 DOI: 10.1016/j.nantod.2021.101092] [Citation(s) in RCA: 218] [Impact Index Per Article: 72.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 01/22/2021] [Accepted: 01/23/2021] [Indexed: 05/04/2023]
Abstract
The current widespread of COVID-19 all over the world, which is caused by SARS-CoV-2 virus, has again emphasized the importance of development of point-of-care (POC) diagnostics for timely prevention and control of the pandemic. Compared with labor- and time-consuming traditional diagnostic methods, POC diagnostics exhibit several advantages such as faster diagnostic speed, better sensitivity and specificity, lower cost, higher efficiency and ability of on-site detection. To achieve POC diagnostics, developing POC detection methods and correlated POC devices is the key and should be given top priority. The fast development of microfluidics, micro electro-mechanical systems (MEMS) technology, nanotechnology and materials science, have benefited the production of a series of portable, miniaturized, low cost and highly integrated POC devices for POC diagnostics of various infectious diseases. In this review, various POC detection methods for the diagnosis of infectious diseases, including electrochemical biosensors, fluorescence biosensors, surface-enhanced Raman scattering (SERS)-based biosensors, colorimetric biosensors, chemiluminiscence biosensors, surface plasmon resonance (SPR)-based biosensors, and magnetic biosensors, were first summarized. Then, recent progresses in the development of POC devices including lab-on-a-chip (LOC) devices, lab-on-a-disc (LOAD) devices, microfluidic paper-based analytical devices (μPADs), lateral flow devices, miniaturized PCR devices, and isothermal nucleic acid amplification (INAA) devices, were systematically discussed. Finally, the challenges and future perspectives for the design and development of POC detection methods and correlated devices were presented. The ultimate goal of this review is to provide new insights and directions for the future development of POC diagnostics for the management of infectious diseases and contribute to the prevention and control of infectious pandemics like COVID-19.
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Affiliation(s)
- Chao Wang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, PR China
- Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, Jiangsu, PR China
| | - Mei Liu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, PR China
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, PR China
| | - Zhifei Wang
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, PR China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, PR China
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, PR China
| | - Nongyue He
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, PR China
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou 412007, PR China
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33
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Chen B, Huang Q, Qu Z, Li C, Li Q, Shi J, Fan C, Wang L, Zuo X, Shen J, Li J. Probing Transient DNA Conformation Changes with an Intercalative Fluorescent Excimer. Angew Chem Int Ed Engl 2021; 60:6624-6630. [PMID: 33314629 DOI: 10.1002/anie.202014466] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 12/02/2020] [Indexed: 12/17/2022]
Abstract
Variation of DNA conformation is important in regulating gene expression and mediating drug-DNA interactions. However, directly probing transient DNA conformation changes is challenging owing to the dynamic nature of this process. We show a label-free fluorescence method to monitor transient DNA conformation changes in DNA structures with various lengths and shapes using a DNA intercalator, K21. K21 can form transient excimers on the surface of DNA; the ratiometric emission of monomer and excimer correlate to DNA transient conformation stability in numerous DNA structures, including i-motifs, G-quadruplex structures, and single nucleotide mutation at random position. We analyzed the conformation dynamics of a single plasmid before and after enzyme digestion with confocal fluorescence microscopy. This method provides a label-free fluorescence strategy to probe transient conformation changes of DNA structures and has potential in uncovering transient genomic processes in living cells.
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Affiliation(s)
- Bin Chen
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, State Key Laboratory of Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Qiuling Huang
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, 201800, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhibei Qu
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Cong Li
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qian Li
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jiye Shi
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, 201800, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Lihua Wang
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, 201800, China.,University of Chinese Academy of Sciences, Beijing, 100049, China.,Bioimaging Center, Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, State Key Laboratory of Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Jianlei Shen
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jiang Li
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, 201800, China.,University of Chinese Academy of Sciences, Beijing, 100049, China.,Bioimaging Center, Shanghai Synchrotron Radiation Facility, Zhangjiang Laboratory, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China
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Chen B, Huang Q, Qu Z, Li C, Li Q, Shi J, Fan C, Wang L, Zuo X, Shen J, Li J. Probing Transient DNA Conformation Changes with an Intercalative Fluorescent Excimer. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202014466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Bin Chen
- Institute of Molecular Medicine Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine State Key Laboratory of Oncogenes and Related Genes Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 200127 China
| | - Qiuling Huang
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Zhibei Qu
- School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine Shanghai Jiao Tong University Shanghai 200240 China
| | - Cong Li
- School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine Shanghai Jiao Tong University Shanghai 200240 China
| | - Qian Li
- School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine Shanghai Jiao Tong University Shanghai 200240 China
| | - Jiye Shi
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China
- University of Chinese Academy of Sciences Beijing 100049 China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine Shanghai Jiao Tong University Shanghai 200240 China
| | - Lihua Wang
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China
- University of Chinese Academy of Sciences Beijing 100049 China
- Bioimaging Center Shanghai Synchrotron Radiation Facility Zhangjiang Laboratory Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201210 China
| | - Xiaolei Zuo
- Institute of Molecular Medicine Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine State Key Laboratory of Oncogenes and Related Genes Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 200127 China
| | - Jianlei Shen
- School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative Molecules and National Center for Translational Medicine Shanghai Jiao Tong University Shanghai 200240 China
| | - Jiang Li
- Division of Physical Biology, CAS Key Laboratory of Interfacial Physics and Technology Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China
- University of Chinese Academy of Sciences Beijing 100049 China
- Bioimaging Center Shanghai Synchrotron Radiation Facility Zhangjiang Laboratory Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201210 China
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35
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Ning B, Yu T, Zhang S, Huang Z, Tian D, Lin Z, Niu A, Golden N, Hensley K, Threeton B, Lyon CJ, Yin XM, Roy CJ, Saba NS, Rappaport J, Wei Q, Hu TY. A smartphone-read ultrasensitive and quantitative saliva test for COVID-19. SCIENCE ADVANCES 2021; 7:eabe3703. [PMID: 33310733 PMCID: PMC7793573 DOI: 10.1126/sciadv.abe3703] [Citation(s) in RCA: 147] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 11/18/2020] [Indexed: 05/19/2023]
Abstract
Point-of-care COVID-19 assays that are more sensitive than the current RT-PCR (reverse transcription polymerase chain reaction) gold standard assay are needed to improve disease control efforts. We describe the development of a portable, ultrasensitive saliva-based COVID-19 assay with a 15-min sample-to-answer time that does not require RNA isolation or laboratory equipment. This assay uses CRISPR-Cas12a activity to enhance viral amplicon signal, which is stimulated by the laser diode of a smartphone-based fluorescence microscope device. This device robustly quantified viral load over a broad linear range (1 to 105 copies/μl) and exhibited a limit of detection (0.38 copies/μl) below that of the RT-PCR reference assay. CRISPR-read SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) RNA levels were similar in patient saliva and nasal swabs, and viral loads measured by RT-PCR and the smartphone-read CRISPR assay demonstrated good correlation, supporting the potential use of this portable assay for saliva-based point-of-care COVID-19 diagnosis.
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Affiliation(s)
- Bo Ning
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Tao Yu
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, USA
| | - Shengwei Zhang
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, USA
| | - Zhen Huang
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China
| | - Di Tian
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Zhen Lin
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Alex Niu
- Section of Hematology and Medical Oncology, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Nadia Golden
- Tuberculosis Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
- High Containment Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
| | - Krystle Hensley
- High Containment Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
| | - Breanna Threeton
- Tuberculosis Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
| | - Christopher J Lyon
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Xiao-Ming Yin
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
| | - Chad J Roy
- Tulane School of Medicine, Tulane National Primate Research Center, New Orleans, LA 70112, USA
| | - Nakhle S Saba
- Section of Hematology and Medical Oncology, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Jay Rappaport
- Tuberculosis Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
- High Containment Research Performance Core, Tulane National Primate Research Center, Covington, LA 70433, USA
- Tulane School of Medicine, Tulane National Primate Research Center, New Orleans, LA 70112, USA
| | - Qingshan Wei
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27606, USA
| | - Tony Y Hu
- Center for Cellular and Molecular Diagnostics, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA.
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave., New Orleans, LA 70112, USA
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36
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Fozouni P, Son S, Díaz de León Derby M, Knott GJ, Gray CN, D'Ambrosio MV, Zhao C, Switz NA, Kumar GR, Stephens SI, Boehm D, Tsou CL, Shu J, Bhuiya A, Armstrong M, Harris AR, Chen PY, Osterloh JM, Meyer-Franke A, Joehnk B, Walcott K, Sil A, Langelier C, Pollard KS, Crawford ED, Puschnik AS, Phelps M, Kistler A, DeRisi JL, Doudna JA, Fletcher DA, Ott M. Amplification-free detection of SARS-CoV-2 with CRISPR-Cas13a and mobile phone microscopy. Cell 2020; 184:323-333.e9. [PMID: 33306959 PMCID: PMC7834310 DOI: 10.1016/j.cell.2020.12.001] [Citation(s) in RCA: 508] [Impact Index Per Article: 127.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 11/03/2020] [Accepted: 11/25/2020] [Indexed: 12/18/2022]
Abstract
The December 2019 outbreak of a novel respiratory virus, SARS-CoV-2, has become an ongoing global pandemic due in part to the challenge of identifying symptomatic, asymptomatic, and pre-symptomatic carriers of the virus. CRISPR diagnostics can augment gold-standard PCR-based testing if they can be made rapid, portable, and accurate. Here, we report the development of an amplification-free CRISPR-Cas13a assay for direct detection of SARS-CoV-2 from nasal swab RNA that can be read with a mobile phone microscope. The assay achieved ∼100 copies/μL sensitivity in under 30 min of measurement time and accurately detected pre-extracted RNA from a set of positive clinical samples in under 5 min. We combined crRNAs targeting SARS-CoV-2 RNA to improve sensitivity and specificity and directly quantified viral load using enzyme kinetics. Integrated with a reader device based on a mobile phone, this assay has the potential to enable rapid, low-cost, point-of-care screening for SARS-CoV-2.
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Affiliation(s)
- Parinaz Fozouni
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA 94143, USA; Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Sungmin Son
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - María Díaz de León Derby
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA; UC Berkeley-UC San Francisco Graduate Program in Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Gavin J Knott
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Monash Biomedicine Discovery Institute, Department of Biochemistry & Molecular Biology, Monash University, VIC 3800, Australia
| | - Carley N Gray
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Michael V D'Ambrosio
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Chunyu Zhao
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Neil A Switz
- Department of Physics and Astronomy, San José State University, San Jose, CA 95192, USA
| | - G Renuka Kumar
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Stephanie I Stephens
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Daniela Boehm
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Chia-Lin Tsou
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jeffrey Shu
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Abdul Bhuiya
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA; UC Berkeley-UC San Francisco Graduate Program in Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Maxim Armstrong
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Andrew R Harris
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Pei-Yi Chen
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | | | | | - Bastian Joehnk
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Keith Walcott
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Anita Sil
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA 94143, USA; Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Charles Langelier
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Division of Infectious Diseases, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Katherine S Pollard
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA 94143, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Epidemiology and Biostatistics and Institute of Computational Health Sciences, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Emily D Crawford
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
| | | | - Maira Phelps
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Amy Kistler
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Joseph L DeRisi
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA 94143, USA; Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA 94143, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Division of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Jennifer A Doudna
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720, USA; Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA 94720, USA; Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Daniel A Fletcher
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA; UC Berkeley-UC San Francisco Graduate Program in Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Biophysics Program, University of California, Berkeley, Berkeley, CA 94720, USA; California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA 94720, USA; Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
| | - Melanie Ott
- J. David Gladstone Institutes, San Francisco, CA 94158, USA; Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA 94143, USA; Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA.
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Paul R, Ostermann E, Wei Q. Advances in point-of-care nucleic acid extraction technologies for rapid diagnosis of human and plant diseases. Biosens Bioelectron 2020; 169:112592. [PMID: 32942143 PMCID: PMC7476893 DOI: 10.1016/j.bios.2020.112592] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/01/2020] [Accepted: 09/02/2020] [Indexed: 12/22/2022]
Abstract
Global health and food security constantly face the challenge of emerging human and plant diseases caused by bacteria, viruses, fungi, and other pathogens. Disease outbreaks such as SARS, MERS, Swine Flu, Ebola, and COVID-19 (on-going) have caused suffering, death, and economic losses worldwide. To prevent the spread of disease and protect human populations, rapid point-of-care (POC) molecular diagnosis of human and plant diseases play an increasingly crucial role. Nucleic acid-based molecular diagnosis reveals valuable information at the genomic level about the identity of the disease-causing pathogens and their pathogenesis, which help researchers, healthcare professionals, and patients to detect the presence of pathogens, track the spread of disease, and guide treatment more efficiently. A typical nucleic acid-based diagnostic test consists of three major steps: nucleic acid extraction, amplification, and amplicon detection. Among these steps, nucleic acid extraction is the first step of sample preparation, which remains one of the main challenges when converting laboratory molecular assays into POC tests. Sample preparation from human and plant specimens is a time-consuming and multi-step process, which requires well-equipped laboratories and skilled lab personnel. To perform rapid molecular diagnosis in resource-limited settings, simpler and instrument-free nucleic acid extraction techniques are required to improve the speed of field detection with minimal human intervention. This review summarizes the recent advances in POC nucleic acid extraction technologies. In particular, this review focuses on novel devices or methods that have demonstrated applicability and robustness for the isolation of high-quality nucleic acid from complex raw samples, such as human blood, saliva, sputum, nasal swabs, urine, and plant tissues. The integration of these rapid nucleic acid preparation methods with miniaturized assay and sensor technologies would pave the road for the "sample-in-result-out" diagnosis of human and plant diseases, especially in remote or resource-limited settings.
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Affiliation(s)
- Rajesh Paul
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695, USA
| | - Emily Ostermann
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695, USA
| | - Qingshan Wei
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, 27695, USA; Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, NC, 27695, USA.
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Draz MS, Vasan A, Muthupandian A, Kanakasabapathy MK, Thirumalaraju P, Sreeram A, Krishnakumar S, Yogesh V, Lin W, Yu XG, Chung RT, Shafiee H. Virus detection using nanoparticles and deep neural network-enabled smartphone system. SCIENCE ADVANCES 2020; 6:eabd5354. [PMID: 33328239 PMCID: PMC7744080 DOI: 10.1126/sciadv.abd5354] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 11/02/2020] [Indexed: 05/02/2023]
Abstract
Emerging and reemerging infections present an ever-increasing challenge to global health. Here, we report a nanoparticle-enabled smartphone (NES) system for rapid and sensitive virus detection. The virus is captured on a microchip and labeled with specifically designed platinum nanoprobes to induce gas bubble formation in the presence of hydrogen peroxide. The formed bubbles are controlled to make distinct visual patterns, allowing simple and sensitive virus detection using a convolutional neural network (CNN)-enabled smartphone system and without using any optical hardware smartphone attachment. We evaluated the developed CNN-NES for testing viruses such as hepatitis B virus (HBV), HCV, and Zika virus (ZIKV). The CNN-NES was tested with 134 ZIKV- and HBV-spiked and ZIKV- and HCV-infected patient plasma/serum samples. The sensitivity of the system in qualitatively detecting viral-infected samples with a clinically relevant virus concentration threshold of 250 copies/ml was 98.97% with a confidence interval of 94.39 to 99.97%.
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Affiliation(s)
- Mohamed S Draz
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Anish Vasan
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA
| | - Aradana Muthupandian
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA
| | - Manoj Kumar Kanakasabapathy
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Prudhvi Thirumalaraju
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA
| | - Aparna Sreeram
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA
| | - Sanchana Krishnakumar
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA
| | - Vinish Yogesh
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA
| | - Wenyu Lin
- Liver Center, Gastrointestinal Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Xu G Yu
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA
- The Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Boston, MA 02129, USA
| | - Raymond T Chung
- Harvard Medical School, Boston, MA 02115, USA
- Liver Center, Gastrointestinal Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Hadi Shafiee
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02139, USA.
- Harvard Medical School, Boston, MA 02115, USA
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Moehling TJ, Lee DH, Henderson ME, McDonald MK, Tsang PH, Kaakeh S, Kim ES, Wereley ST, Kinzer-Ursem TL, Clayton KN, Linnes JC. A smartphone-based particle diffusometry platform for sub-attomolar detection of Vibrio cholerae in environmental water. Biosens Bioelectron 2020; 167:112497. [PMID: 32836088 PMCID: PMC7532658 DOI: 10.1016/j.bios.2020.112497] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/28/2020] [Accepted: 08/02/2020] [Indexed: 11/30/2022]
Abstract
Each year, 3.4 million people die from waterborne diseases worldwide. Development of a rapid and portable platform for detecting and monitoring waterborne pathogens would significantly aid in reducing the incidence and spread of infectious diseases. By combining optical methods and smartphone technology with molecular assays, the sensitivity required to detect exceedingly low concentrations of waterborne pathogens can readily be achieved. Here, we implement smartphone-based particle diffusometry (PD) detection of loop-mediated isothermal amplification (LAMP) targeting the waterborne pathogen Vibrio cholerae (V. cholerae). By measuring the diffusion of 400 nm streptavidin-coated fluorescent nanoparticles imaged at 68X magnification on a smartphone, we can detect as few as 6 V. cholerae cells per reaction (0.66 aM) in just 35 minutes. In a double-blinded study with 132 pond water samples, we establish a 91.8% sensitivity, 95.2% specificity, and 94.3% accuracy of the smartphone-based PD platform for detection of V. cholerae. Together, these results demonstrate the utility of this smartphone-based PD platform for rapid and sensitive detection of V. cholerae at the point of use.
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Affiliation(s)
- Taylor J Moehling
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Dong Hoon Lee
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Meghan E Henderson
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Mariah K McDonald
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Preston H Tsang
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Seba Kaakeh
- Department of Biochemistry, Purdue University, West Lafayette, IN, 47907, USA
| | - Eugene S Kim
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Steven T Wereley
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Tamara L Kinzer-Ursem
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Katherine N Clayton
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA; OmniVis LLC, Indianapolis, IN, 46201, USA.
| | - Jacqueline C Linnes
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
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40
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Avendaño C, Patarroyo MA. Loop-Mediated Isothermal Amplification as Point-of-Care Diagnosis for Neglected Parasitic Infections. Int J Mol Sci 2020; 21:ijms21217981. [PMID: 33126446 PMCID: PMC7662217 DOI: 10.3390/ijms21217981] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/06/2020] [Accepted: 10/07/2020] [Indexed: 12/13/2022] Open
Abstract
The World Health Organisation (WHO) has placed twenty diseases into a group known as neglected tropical diseases (NTDs), twelve of them being parasitic diseases: Chagas’ disease, cysticercosis/taeniasis, echinococcosis, food-borne trematodiasis, human African trypanosomiasis (sleeping sickness), leishmaniasis, lymphatic filariasis, onchocerciasis (river blindness), schistosomiasis, soil-transmitted helminthiasis (ascariasis, hookworm, trichuriasis), guinea-worm and scabies. Such diseases affect millions of people in developing countries where one of the main problems concerning the control of these diseases is diagnosis-based due to the most affected areas usually being far from laboratories having suitable infrastructure and/or being equipped with sophisticated equipment. Advances have been made during the last two decades regarding standardising and introducing techniques enabling diagnoses to be made in remote places, i.e., the loop-mediated isothermal amplification (LAMP) technique. This technique’s advantages include being able to perform it using simple equipment, diagnosis made directly in the field, low cost of each test and the technique’s high specificity. Using this technique could thus contribute toward neglected parasite infection (NPI) control and eradication programmes. This review describes the advances made to date regarding LAMP tests, as it has been found that even though several studies have been conducted concerning most NPI, information is scarce for others.
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Affiliation(s)
- Catalina Avendaño
- Animal Science Faculty, Universidad de Ciencias Aplicadas y Ambientales (U.D.C.A.), Bogotá 111166, Colombia;
| | - Manuel Alfonso Patarroyo
- Molecular Biology and Immunology Department, Fundación Instituto de Inmunología de Colombia (FIDIC), Bogotá 111321, Colombia
- Basic Sciences Department, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá 112111, Colombia
- Correspondence: ; Tel.: +57-1-3244672
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Destgeer G, Ouyang M, Wu CY, Di Carlo D. Fabrication of 3D concentric amphiphilic microparticles to form uniform nanoliter reaction volumes for amplified affinity assays. LAB ON A CHIP 2020; 20:3503-3514. [PMID: 32895694 DOI: 10.1039/d0lc00698j] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Reactions performed in uniform microscale volumes have enabled numerous applications in the analysis of rare entities (e.g. cells and molecules). Here, highly monodisperse aqueous droplets are formed by simply mixing microscale multi-material particles, consisting of concentric hydrophobic outer and hydrophilic inner layers, with oil and water. The particles are manufactured in batch using a 3D printed device to co-flow four concentric streams of polymer precursors which are polymerized with UV light. The cross-sectional shapes of the particles are altered by microfluidic nozzle design in the 3D printed device. Once a particle encapsulates an aqueous volume, each "dropicle" provides uniform compartmentalization and customizable shape-coding for each sample volume to enable multiplexing of uniform reactions in a scalable manner. We implement an enzymatically-amplified immunoassay using the dropicle system, yielding a detection limit of <1 pM with a dynamic range of at least 3 orders of magnitude. Multiplexing using two types of shape-coded particles was demonstrated without cross talk, laying a foundation for democratized single-entity assays.
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Affiliation(s)
- Ghulam Destgeer
- Department of Bioengineering, University of California, Los Angeles, CA 90095, USA.
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42
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Nguyen HV, Nguyen VD, Liu F, Seo TS. An Integrated Smartphone-Based Genetic Analyzer for Qualitative and Quantitative Pathogen Detection. ACS OMEGA 2020; 5:22208-22214. [PMID: 32923778 PMCID: PMC7482303 DOI: 10.1021/acsomega.0c02317] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 07/16/2020] [Indexed: 05/04/2023]
Abstract
The use of the smartphone is an ideal platform to realize the future point-of-care (POC) diagnostic system. Herein, we propose an integrated smartphone-based genetic analyzer. It consists of a smartphone and an integrated genetic analysis unit (i-Gene), in which the power of the smartphone was utilized for heating the gene amplification reaction, and the camera function was used for imaging the colorimetric change of the reaction for quantitative and multiplex foodborne pathogens. The housing of i-Gene was fabricated by using a 3D printer, which was equipped with a macro lens, white LEDs, a disposable microfluidic chip for loop-mediated isothermal amplification (LAMP), a thin-film heater, and a power booster. The i-Gene was installed on the iPhone in alignment with a camera. The LAMP mixture for Eriochrome Black T (EBT) colorimetric detection was injected into the LAMP chip to identify Escherichia coli O157:H7, Salmonella typhimurium, and Vibrio parahaemolyticus. The proportional-integral-derivative controller-embedded film heater was powered by a 5.0 V power bank to maintain 63 °C for the LAMP reaction. When the LAMP proceeded, the color was changed from violet to blue, which was real-time monitored by the smartphone complementary metal oxide semiconductor camera. The images were transported to the desktop computer via Wi-Fi. The quantitative LAMP profiles were obtained by plotting the ratio of green/red intensity versus the reaction time. We could identify E. coli O157:H7 with a limit of detection of 101 copies/μL within 60 min. Our proposed smartphone-based genetic analyzer offers a portable, simple, rapid, and cost-effective POC platform for future diagnostic markets.
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Affiliation(s)
- Hau Van Nguyen
- Kyung
Hee University - Global Campus, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi-do 446-701, South Korea
| | - Van Dan Nguyen
- Kyung
Hee University - Global Campus, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi-do 446-701, South Korea
| | - Fei Liu
- School
of Ophthalmology and Optometry, School of Biomedical Engineering, Wenzhou Medical University, Xueyugn Road #270, Wenzhou, Zhejiang 325035, P.R. China
| | - Tae Seok Seo
- Kyung
Hee University - Global Campus, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi-do 446-701, South Korea
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43
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Paul R, Ostermann E, Gu Z, Ristaino JB, Wei Q. DNA Extraction from Plant Leaves Using a Microneedle Patch. ACTA ACUST UNITED AC 2020; 5:e20104. [PMID: 32074406 DOI: 10.1002/cppb.20104] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Isolation of high-quality DNA from infected plant specimens is an essential step for the molecular detection of plant pathogens. However, DNA isolation from plant cells surrounded by rigid polysaccharide cell walls involves complicated steps and requires benchtop laboratory equipment. As a result, plant DNA extraction is currently confined to well-equipped laboratories and sample preparation has become one of the major hurdles for on-site molecular detection of plant pathogens. To overcome this hurdle, a simple DNA extraction method from plant leaf tissues has been developed. A microneedle (MN) patch made of polyvinyl alcohol (PVA) can isolate plant or pathogenic DNA from different plant species within a minute. During DNA extraction, the polymeric MN patch penetrates into plant leaf tissues and breaks rigid plant cell walls to isolate intracellular DNA. The extracted DNA is polymerase chain reaction (PCR) amplifiable without additional purification. This minimally invasive method has successfully extracted Phytophthora infestans DNA from infected tomato leaves. Moreover, the MN patch could be used to isolate DNA from other plant pathogens directly in the field. Thus, it has great potential to become a rapid, on-site sample preparation technique for plant pathogen detection. © 2020 by John Wiley & Sons, Inc. Basic Protocol: Microneedle patch-based DNA extraction Support Protocol 1: Microneedle patch fabrication Support Protocol 2: Real-time PCR amplification of microneedle patch extracted DNA.
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Affiliation(s)
- Rajesh Paul
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina
| | - Emily Ostermann
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina
| | - Zhen Gu
- Bioengineering Department, University of California, Los Angeles, Los Angeles, California.,Jonsson Comprehensive Cancer Center, California NanoSystems Institute, and Center for Minimally Invasive Therapeutics, University of California, Los Angeles, Los Angeles, California
| | - Jean B Ristaino
- Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina.,Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, North Carolina
| | - Qingshan Wei
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina.,Emerging Plant Disease and Global Food Security Cluster, North Carolina State University, Raleigh, North Carolina
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44
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Shah KG, Kumar S, Singh V, Hansen L, Heiniger E, Bishop JD, Lutz B, Yager P. Two-Fluorophore Mobile Phone Imaging of Biplexed Real-Time NAATs Overcomes Optical Artifacts in Highly Scattering Porous Media. Anal Chem 2020; 92:13066-13072. [DOI: 10.1021/acs.analchem.0c02000] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Kamal G. Shah
- Department of Bioengineering, University of Washington, Seattle, Washington 98195, United States
| | - Sujatha Kumar
- Department of Bioengineering, University of Washington, Seattle, Washington 98195, United States
| | - Vidhi Singh
- Department of Bioengineering, University of Washington, Seattle, Washington 98195, United States
| | - Louise Hansen
- Department of Bioengineering, University of Washington, Seattle, Washington 98195, United States
| | - Erin Heiniger
- Department of Bioengineering, University of Washington, Seattle, Washington 98195, United States
| | - Joshua D. Bishop
- Department of Bioengineering, University of Washington, Seattle, Washington 98195, United States
| | - Barry Lutz
- Department of Bioengineering, University of Washington, Seattle, Washington 98195, United States
| | - Paul Yager
- Department of Bioengineering, University of Washington, Seattle, Washington 98195, United States
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Rajendran VK, Bakthavathsalam P, Bergquist PL, Sunna A. Smartphone technology facilitates point-of-care nucleic acid diagnosis: a beginner's guide. Crit Rev Clin Lab Sci 2020; 58:77-100. [PMID: 32609551 DOI: 10.1080/10408363.2020.1781779] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
The reliable detection of nucleic acids at low concentrations in clinical samples like blood, urine and saliva, and in food can be achieved by nucleic acid amplification methods. Several portable and hand-held devices have been developed to translate these laboratory-based methods to point-of-care (POC) settings. POC diagnostic devices could potentially play an important role in environmental monitoring, health, and food safety. Use of a smartphone for nucleic acid testing has shown promising progress in endpoint as well as real-time analysis of various disease conditions. The emergence of smartphone-based POC devices together with paper-based sensors, microfluidic chips and digital droplet assays are used currently in many situations to provide quantitative detection of nucleic acid targets. State-of-the-art portable devices are commercially available and rapidly emerging smartphone-based POC devices that allow the performance of laboratory-quality colorimetric, fluorescent and electrochemical detection are described in this review. We present a comprehensive review of smartphone-based POC sensing applications, specifically on microbial diagnostics, assess their performance and propose recommendations for the future.
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Affiliation(s)
| | - Padmavathy Bakthavathsalam
- School of Chemistry and Australian Centre for Nanomedicine, University of New South Wales, Sydney, Australia
| | - Peter L Bergquist
- Department of Molecular Sciences, Macquarie University, Sydney, Australia.,Department of Molecular Medicine & Pathology, University of Auckland, Auckland, New Zealand.,Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia
| | - Anwar Sunna
- Department of Molecular Sciences, Macquarie University, Sydney, Australia.,Biomolecular Discovery Research Centre, Macquarie University, Sydney, Australia
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46
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Wu C, Garden PM, Walt DR. Ultrasensitive Detection of Attomolar Protein Concentrations by Dropcast Single Molecule Assays. J Am Chem Soc 2020; 142:12314-12323. [PMID: 32602703 DOI: 10.1021/jacs.0c04331] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Measurements of very low levels of biomolecules, including proteins and nucleic acids, remain a critical challenge in many clinical diagnostic applications due to insufficient sensitivity. While digital measurement methods such as Single Molecule Arrays (Simoa), or digital ELISA, have made significant advances in sensitivity, there are still many potential disease biomarkers that exist in accessible biofluids at levels below the detection limits of these techniques. To overcome this barrier, we have developed a simple strategy for single molecule counting, dropcast single molecule assays (dSimoa), that enables more target molecules to be counted through increased sampling efficiency and with a simpler workflow. In this approach, beads are simply dropcast onto a microscope slide and dried into a monolayer film for digital signal readout. The dSimoa platform achieves attomolar limits of detection, with an up to 25-fold improvement in sensitivity over Simoa, the current state of the art for ultrasensitive protein detection. Furthermore, due to its simple readout process and improved cost-effectiveness compared to existing digital bioassays, dSimoa increases amenability to integration into point-of-care platforms. As an illustration of the potential utility of dSimoa, we demonstrate its ability to measure previously undetectable levels of Brachyury, a tissue biomarker for chordoma, in plasma samples. With its significantly enhanced sensitivity and simplicity, dSimoa can pave the way toward the discovery of new biomarkers for early disease diagnosis and improved health outcomes.
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Affiliation(s)
- Connie Wu
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02115, United States
| | - Padric M Garden
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02115, United States
| | - David R Walt
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02115, United States
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47
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Yin K, Pandian V, Kadimisetty K, Zhang X, Ruiz C, Cooper K, Liu C. Real-time Colorimetric Quantitative Molecular Detection of Infectious Diseases on Smartphone-based Diagnostic Platform. Sci Rep 2020; 10:9009. [PMID: 32488061 PMCID: PMC7265458 DOI: 10.1038/s41598-020-65899-w] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 05/05/2020] [Indexed: 11/09/2022] Open
Abstract
Rapid diagnostics of infectious diseases and accurate identification of their causative pathogens play a crucial role in disease prevention, monitoring, and treatment. Conventional molecular detection of infectious pathogens requires expensive equipment and well-trained personnel, thus limiting its use in centralized clinical laboratories. To address this challenge, a portable smartphone-based quantitative molecular detection platform, termed “smart connected pathogen tracer” (SCPT), has been developed for pathogen monitoring and disease surveillance. The platform takes advantage of synergistically enhanced colorimetric loop-mediated isothermal amplification (LAMP) assay and smartphone-based color analysis, enabling simple, rapid and reliable nucleic acid quantification without need for expensive fluorescence detection equipment. The SCPT platform has been successfully applied to quantitatively detect: i) HPV DNA in saliva and clinical vaginal swab samples, and ii) HIV RNA in plasma samples with comparable sensitivity to state-of-art machine. It has also been demonstrated for disease spatiotemporal mapping and pathogen tracking by wireless connection and web-based surveillance. Such simple, cost-affordable, portable molecular detection platform has great potential for on-site early disease detection, remote healthcare monitoring, and epidemic surveillance.
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Affiliation(s)
- Kun Yin
- Department of Biomedical Engineering, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT, 06030, USA.,Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, 220 South 33rd St., Philadelphia, Pennsylvania, 19104-6315, USA
| | - Vikram Pandian
- Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, 220 South 33rd St., Philadelphia, Pennsylvania, 19104-6315, USA
| | - Karteek Kadimisetty
- Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, 220 South 33rd St., Philadelphia, Pennsylvania, 19104-6315, USA
| | - Xin Zhang
- Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, 220 South 33rd St., Philadelphia, Pennsylvania, 19104-6315, USA
| | - Carlos Ruiz
- Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, 220 South 33rd St., Philadelphia, Pennsylvania, 19104-6315, USA
| | - Kumarasen Cooper
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, 3400 Spruce St., Philadelphia, PA, 19104, USA
| | - Changchun Liu
- Department of Biomedical Engineering, University of Connecticut Health Center, 263 Farmington Avenue, Farmington, CT, 06030, USA. .,Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, 220 South 33rd St., Philadelphia, Pennsylvania, 19104-6315, USA.
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48
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Shen R, Jia Y, Mak PI, Martins RP. Clip-to-release on amplification (CRoA): a novel DNA amplification enhancer on and off microfluidics. LAB ON A CHIP 2020; 20:1928-1938. [PMID: 32352133 DOI: 10.1039/d0lc00318b] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Despite its high sensitivity, low cost, and high efficiency as a DNA amplification indicator with a yes/no answer, dsDNA-binding dye encounters incompatibility when used in microfluidic systems, resulting in problems such as false negative amplification results. Besides, its inhibition of amplification at high concentrations hinders its application both on-chip and off-chip. In this study, we propose a novel DNA amplification enhancer to counteract the drawbacks of dsDNA-binding dyes. It acts as a temporary reservoir for the free-floating dyes in solution and releases them on demand during the amplification process. Through this clip-to-release on amplification mechanism, the enhancer lowered the background fluorescence of sample droplets before amplification, enhanced the signal-to-background ratio of positive samples, and eliminated the false negative signal of on-chip PCR. Moreover, the enhancer increased the off-chip polymerase chain reaction (PCR) efficiency, boosted the fluorescence signal up to 10-fold, and made less nonspecific amplification product. All the factors affecting the enhancer's performance are investigated in detail, including its structure and concentration, and the types of dsDNA-binding dye used in the reaction. Finally, we demonstrated the broad application of the proposed amplification enhancer in various DNA amplification systems, for various genes, and on various amplification platforms. It would reignite the utilization of dsDNA dyes for wider applications in DNA analysis both on-chip and off-chip.
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Affiliation(s)
- Ren Shen
- State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, China. and Faculty of Science and Technology - ECE, University of Macau, Macau, China
| | - Yanwei Jia
- State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, China. and Faculty of Science and Technology - ECE, University of Macau, Macau, China and Faculty of Health Sciences, University of Macau, Macau, China
| | - Pui-In Mak
- State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, China. and Faculty of Science and Technology - ECE, University of Macau, Macau, China
| | - Rui P Martins
- State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, University of Macau, Macau, China. and Faculty of Science and Technology - ECE, University of Macau, Macau, China and On Leave from Instituto Superior Técnico, Universidade de Lisboa, Portugal
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49
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Wu H, Qian C, Wu C, Wang Z, Wang D, Ye Z, Ping J, Wu J, Ji F. End-point dual specific detection of nucleic acids using CRISPR/Cas12a based portable biosensor. Biosens Bioelectron 2020; 157:112153. [PMID: 32250930 DOI: 10.1016/j.bios.2020.112153] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 02/27/2020] [Accepted: 03/12/2020] [Indexed: 12/26/2022]
Abstract
A CRISPR/Cas12a based portable biosensor (Cas12a-PB) was developed to simultaneously visually detect CaMV35S promoter and Lectin gene from genetically modified (GM) soybean powders (Roundup Ready@). The Cas12a-PB, mainly made of polymethylmethacrylate (PMMA) and PMMA tape, has a connection structure, three channels and three detection chambers. The CRISPR/Cas12a detection reagents were preloaded in detection chambers and the reaction tube was connected to the connection structure by screw threads. After amplification, the amplicons were gone into three detection chambers by swinging the Cas12a-PB to conduct dual detection. Positive samples would produce green fluorescence while negative samples were black under the irradiation of 490 nm LED light. In this study, the Cas12a-PB successively combined with ordinary PCR, rapid PCR and loop-mediated isothermal amplification (LAMP) to achieve dual detection, which made detection process more convenient and portable. As low as 0.1% transgenic ingredients in soybean powders could be detected and the specificity of Cas12a-PB was confirmed with GM maize powders (MON810, GA21), GM soybean powders (DP305423), non-GM peanut and rice as targets. In the end, an amplification chamber combining with Cas12a-PB on a PMMA chip was further designed to eliminate the use of reaction tube and mineral oil, which made operation simpler. The established Cas12a-PB would provide a new reliable solution for multiple targets detection in clinic diagnostics, food safety, etc.
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Affiliation(s)
- Hui Wu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Cheng Qian
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Cui Wu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Zhen Wang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Dacheng Wang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Zunzhong Ye
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Jianfeng Ping
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Jian Wu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China; Key Laboratory of on Site Processing Equipment for Agricultural Products, Ministry of Agriculture, Hangzhou, 310058, China.
| | - Feng Ji
- The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
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50
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Ballard Z, Bazargan S, Jung D, Sathianathan S, Clemens A, Shir D, Al-Hashimi S, Ozcan A. Contact lens-based lysozyme detection in tear using a mobile sensor. LAB ON A CHIP 2020; 20:1493-1502. [PMID: 32227027 PMCID: PMC7189769 DOI: 10.1039/c9lc01039d] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
We report a method for sensing analytes in tear-fluid using commercial contact lenses (CLs) as sample collectors for subsequent analysis with a cost-effective and field-portable reader. In this study we quantify lysozyme, the most prevalent protein in tear fluid, non-specifically bound to CLs worn by human participants. Our mobile reader uses time-lapse imaging to capture an increasing fluorescent signal in a standard well-plate, the rate-of-change of which is used to indirectly infer lysozyme concentration through the use of a standard curve. We empirically determined the best-suited CL material for our sampling procedure and assay, and subsequently monitored the lysozyme levels of nine healthy human participants over a two-week period. Of these participants who were regular CL wearers (6 out of 9), we observed an increase in lysozyme levels from 6.89 ± 2.02 μg mL-1 to 10.72 ± 3.22 μg mL-1 (mean ± SD) when inducing an instance of digital eye-strain by asking them to play a game on their mobile-phones during the CL wear-duration. We also observed a lower mean lysozyme concentration (2.43 ± 1.66 μg mL-1) in a patient cohort with dry eye disease (DED) as compared to the average monitoring level of healthy (no DED) human participants (6.89 ± 2.02 μg mL-1). Taken together, this study demonstrates tear-fluid analysis with simple and non-invasive sampling steps along with a rapid, easy-to-use, and cost-effective measurement system, ultimately indicating physiological differences in human participants. We believe this method could be used in future tear-fluid studies, even supporting multiplexed detection of a panel of tear biomarkers toward improved diagnostics and prognostics as well as personalized mobile-health applications.
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Affiliation(s)
- Zachary Ballard
- Department of Electrical and Computer Engineering, University of California, Los Angeles, USA.
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