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Yang Y, Wang Z, Xie H, Hu Y, Liu H. A SAW-Based Programmable Controlled RNA Detecting Device: Rapid In Situ Cytolysis-RNA Capture-RNA Release-PCR in One Mini Chamber. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2309744. [PMID: 38773709 PMCID: PMC11304306 DOI: 10.1002/advs.202309744] [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: 12/12/2023] [Revised: 04/19/2024] [Indexed: 05/24/2024]
Abstract
Viral RNA detection is crucial in preventing and treating early infectious diseases. Traditional methods of RNA detection require a large amount of equipment and technical personnel. In this study, proposed a programmable controlled surface acoustic wave (SAW)-based RNA detecting device has been proposed. The proposed device can perform the entire viral RNA detection process, including cell lysis by cell-microparticle collision through SAW-induced liquid whirling, RNA capture by SAW-suspended magnetic beads, RNA elution through SAW-induced high streaming force, and PCR thermal cycling through SAW-generated heat. The device has completed all RNA detection steps in one mini chamber, requiring only 489 µl reagents for RNA extraction, much smaller than the amount used in manual RNA extraction (2065 µl). The experimental results have shown that PCR results from the device are comparable to those achieved via commercial qPCR instrumental detection. This work has demonstrated the potential of SAW-based lab-on-a-chip devices for point-of-care testing and provided a novel approach for rapidly detecting infectious diseases.
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Affiliation(s)
- Yupeng Yang
- Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518000P. R. China
- University of JinanJinan250022P. R. China
| | - Zenan Wang
- Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518000P. R. China
| | - Hetao Xie
- University of JinanJinan250022P. R. China
| | - Ying Hu
- Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518000P. R. China
| | - Hong Liu
- University of JinanJinan250022P. R. China
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2
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John P, Vasa NJ, Zam A. Optical Biosensors for the Diagnosis of COVID-19 and Other Viruses-A Review. Diagnostics (Basel) 2023; 13:2418. [PMID: 37510162 PMCID: PMC10378272 DOI: 10.3390/diagnostics13142418] [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: 04/17/2023] [Revised: 07/12/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
The sudden outbreak of the COVID-19 pandemic led to a huge concern globally because of the astounding increase in mortality rates worldwide. The medical imaging computed tomography technique, whole-genome sequencing, and electron microscopy are the methods generally used for the screening and identification of the SARS-CoV-2 virus. The main aim of this review is to emphasize the capabilities of various optical techniques to facilitate not only the timely and effective diagnosis of the virus but also to apply its potential toward therapy in the field of virology. This review paper categorizes the potential optical biosensors into the three main categories, spectroscopic-, nanomaterial-, and interferometry-based approaches, used for detecting various types of viruses, including SARS-CoV-2. Various classifications of spectroscopic techniques such as Raman spectroscopy, near-infrared spectroscopy, and fluorescence spectroscopy are discussed in the first part. The second aspect highlights advances related to nanomaterial-based optical biosensors, while the third part describes various optical interferometric biosensors used for the detection of viruses. The tremendous progress made by lab-on-a-chip technology in conjunction with smartphones for improving the point-of-care and portability features of the optical biosensors is also discussed. Finally, the review discusses the emergence of artificial intelligence and its applications in the field of bio-photonics and medical imaging for the diagnosis of COVID-19. The review concludes by providing insights into the future perspectives of optical techniques in the effective diagnosis of viruses.
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Affiliation(s)
- Pauline John
- Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi 129188, United Arab Emirates
| | - Nilesh J Vasa
- Department of Engineering Design, Indian Institute of Technology Madras, Chennai 600036, India
| | - Azhar Zam
- Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi 129188, United Arab Emirates
- Tandon School of Engineering, New York University, Brooklyn, NY 11201, USA
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3
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Yang B, Wang P, Li Z, You Q, Sekine S, Ma J, Zhuang S, Zhang D, Yamaguchi Y. Simultaneous amplification of DNA in a multiplex circular array shaped continuous flow PCR microfluidic chip for on-site detection of bacterial. LAB ON A CHIP 2023; 23:2633-2639. [PMID: 37170867 DOI: 10.1039/d3lc00274h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Based on time to place conversion, continuous flow polymerase chain reaction (CF-PCR) can realize a rapid amplification of DNA by running the PCR reagent in a serpentine microchannel but a larger space is required for each sample, which greatly reduces the efficiency of the CF-PCR. Herein, we propose a multiplex circular array shaped CF-PCR microfluidic chip for on-site detection of bacteria. There were 12 serpentine microchannels which were distributed on the disc in an annular form, and each microchannel consisted of an inlet for sample injection, and an outlet for the detection of the PCR products based on fluorescence. Samples could be simultaneously driven into each inlet by a one-to-twelve diverter through a syringe. Moreover, the method of adding fluorescent dyes at the end of the microchannel can solve the inhibition effect of excessive fluorescent dyes on the PCR reaction. The process finished with simultaneous amplification of 12 different target genes from Porphyromonas gingivalis, Treponema denticola, Tannerella forsythia, and Escherichia coli, and on-site detection of their corresponding positives within 23 min. The fastest detectable PCR reaction time was 5.38 ± 0.2 min at a flow rate of 1 mL h-1. For E. coli, the minimum detectable concentration was 2.5 × 10-3 ng μL-1 in this microfluidic system. Such a system can increase the throughput of CF-PCR for point-of-care testing of pathogens.
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Affiliation(s)
- Bo Yang
- Engineering Research Center of Optical Instrument and System, Shanghai Environmental Biosafety Instruments and Equipment Engineering Technology Research Center, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China.
| | - Ping Wang
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
| | - Zhenqing Li
- Engineering Research Center of Optical Instrument and System, Shanghai Environmental Biosafety Instruments and Equipment Engineering Technology Research Center, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China.
| | - Qingxiang You
- Engineering Research Center of Optical Instrument and System, Shanghai Environmental Biosafety Instruments and Equipment Engineering Technology Research Center, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China.
| | - Shinichi Sekine
- Department of Preventive Dentistry, Graduate School of Dentistry, Osaka University, Osaka 565-0871, Japan
| | - Junshan Ma
- Engineering Research Center of Optical Instrument and System, Shanghai Environmental Biosafety Instruments and Equipment Engineering Technology Research Center, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China.
| | - Songlin Zhuang
- Engineering Research Center of Optical Instrument and System, Shanghai Environmental Biosafety Instruments and Equipment Engineering Technology Research Center, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China.
| | - Dawei Zhang
- Engineering Research Center of Optical Instrument and System, Shanghai Environmental Biosafety Instruments and Equipment Engineering Technology Research Center, Key Lab of Optical Instruments and Equipment for Medical Engineering, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China.
| | - Yoshinori Yamaguchi
- Department of Applied Physics, Graduate School of Engineering, Osaka University, Osaka 565-0871, Japan.
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4
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Costantini F, Lovecchio N, Nandimandalam M, Manglli A, Faggioli F, Biasin M, Manetti C, Roversi PF, Nascetti A, de Cesare G, Caputo D. Biomolecular Monitoring Tool Based on Lab-on-Chip for Virus Detection. BIOSENSORS 2023; 13:bios13050544. [PMID: 37232905 DOI: 10.3390/bios13050544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/03/2023] [Accepted: 05/08/2023] [Indexed: 05/27/2023]
Abstract
Lab-on-Chip (LoC) devices for performing real-time PCR are advantageous compared to standard equipment since these systems allow to conduct in-field quick analysis. The development of LoCs, where the components for performing the nucleic acid amplification are all integrated, can be an issue. In this work, we present a LoC-PCR device where thermalization, temperature control and detection elements are all integrated on a single glass substrate named System-on-Glass (SoG) obtained using metal thin-film deposition. By using a microwell plate optically coupled with the SoG, real-time reverse transcriptase PCR of RNA extracted from both a plant and human virus has been carried out in the developed LoC-PCR device. The limit of detection and time of analysis for the detection of the two viruses by using the LoC-PCR were compared with those achieved by standard equipment. The results showed that the two systems can detect the same concentration of RNA; however, the LoC-PCR performs the analysis in half of the time compared to the standard thermocycler, with the advantage of the portability, leading to a point-of-care device for several diagnostic applications.
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Affiliation(s)
- Francesca Costantini
- CREA Research Centre for Plant Protection and Certification, 00156 Rome, Italy
- Department of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy
| | - Nicola Lovecchio
- Department of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy
- Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy
| | - Manasa Nandimandalam
- Department of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy
| | - Ariana Manglli
- CREA Research Centre for Plant Protection and Certification, 00156 Rome, Italy
| | - Francesco Faggioli
- CREA Research Centre for Plant Protection and Certification, 00156 Rome, Italy
| | - Mara Biasin
- Department of Biomedical and Clinical Sciences, University of Milan, Via G.B. Grassi, 20122 Milan, Italy
| | - Cesare Manetti
- Department of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy
| | | | - Augusto Nascetti
- School of Aerospace Engineering, Sapienza University of Rome, 00138 Rome, Italy
| | - Giampiero de Cesare
- Department of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy
| | - Domenico Caputo
- Department of Environmental Biology, Sapienza University of Rome, 00185 Rome, Italy
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Wang Y, Wang S, Li L, Zou Y, Liu B, Fang X. Microfluidics‐based molecular profiling of tumor‐derived exosomes for liquid biopsy. VIEW 2023. [DOI: 10.1002/viw.20220048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Affiliation(s)
- Yuqing Wang
- School of Pharmacy Shanghai Stomatological Hospital Department of Chemistry Fudan University Shanghai China
| | - Shurong Wang
- School of Pharmacy Shanghai Stomatological Hospital Department of Chemistry Fudan University Shanghai China
| | - Lanting Li
- School of Pharmacy Shanghai Stomatological Hospital Department of Chemistry Fudan University Shanghai China
| | - Yan Zou
- School of Pharmacy Shanghai Stomatological Hospital Department of Chemistry Fudan University Shanghai China
| | - Baohong Liu
- School of Pharmacy Shanghai Stomatological Hospital Department of Chemistry Fudan University Shanghai China
| | - Xiaoni Fang
- School of Pharmacy Shanghai Stomatological Hospital Department of Chemistry Fudan University Shanghai China
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6
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Wang X, Liu Y, Liu H, Pan W, Ren J, Zheng X, Tan Y, Chen Z, Deng Y, He N, Chen H, Li S. Recent advances and application of whole genome amplification in molecular diagnosis and medicine. MedComm (Beijing) 2022; 3:e116. [PMID: 35281794 PMCID: PMC8906466 DOI: 10.1002/mco2.116] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 11/30/2022] Open
Abstract
Whole genome amplification (WGA) is a technology for non-selective amplification of the whole genome sequence, first appearing in 1992. Its primary purpose is to amplify and reflect the whole genome of trace tissues and single cells without sequence bias and to provide sufficient DNA template for subsequent multigene and multilocus analysis, along with comprehensive genome research. WGA provides a method to obtain a large amount of genetic information from a small amount of DNA and provides a valuable tool for preserving limited samples in molecular biology. WGA technology is especially suitable for forensic identification and genetic disease research, along with new technologies such as next-generation sequencing (NGS). In addition, WGA is also widely used in single-cell sequencing. Due to the small amount of DNA in a single cell, it is often unable to meet the amount of samples needed for sequencing, so WGA is generally used to achieve the amplification of trace samples. This paper reviews WGA methods based on different principles, summarizes both amplification principle and amplification quality, and discusses the application prospects and challenges of WGA technology in molecular diagnosis and medicine.
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Affiliation(s)
- Xiaoyu Wang
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Yapeng Liu
- School of Early‐Childhood Education, Nanjing Xiaozhuang UniversityNanjingChina
| | - Hongna Liu
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Wenjing Pan
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Jie Ren
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Xiangming Zheng
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Yimin Tan
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Zhu Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Nongyue He
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
- State Key Laboratory of BioelectronicsSoutheast UniversityNanjingChina
| | - Hui Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and DevicesHunan University of TechnologyZhuzhouChina
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7
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Chung YD, Liu TH, Liang YL, Lin CN, Hsu KF, Lee GB. An integrated microfluidic platform for detection of ovarian clear cell carcinoma mRNA biomarker FXYD2. LAB ON A CHIP 2021; 21:2625-2632. [PMID: 34013940 DOI: 10.1039/d1lc00177a] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
In this work we developed an integrated microfluidic system for automatically detecting the ovarian clear cell carcinoma (OCCC) biomarker FXYD2. Dealing with ascites from ovarian cancer patients, capture of cancer cells, isolation of messenger RNA, and quantitative reverse-transcription polymerase chain reaction were integrated into a single microfluidic chip and carried out on-chip automatically. OCCC is a subtype of ovarian cancer with a high mortality risk, and a high FXYD2 gene expression level was shown to be closely associated with OCCC. The lowest limit of quantification using a benchtop protocol of this system could be as low as 100 copies per sample. By normalizing the expression to a housekeeping gene, GAPDH, a simple cycle threshold ratio index could distinguish high FXYD2 expression cells from the low-expression ones. This developed platform may therefore facilitate future OCCC diagnosis and/or prognosis.
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Affiliation(s)
- Yi-Da Chung
- Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
| | - Ting-Hang Liu
- Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
| | - Yu-Ling Liang
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan.
| | - Chang-Ni Lin
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan.
| | - Keng-Fu Hsu
- Department of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan.
| | - Gwo-Bin Lee
- Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan. and Institute of NanoEngineering and MicroSystems, National Tsing Hua University, Hsinchu, Taiwan and Institute of Biomedical Engineering, National Tsing Hua University, Hsinchu, Taiwan
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8
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Arjun A, Ajith RR, Kumar Ranjith S. Mixing characterization of binary-coalesced droplets in microchannels using deep neural network. BIOMICROFLUIDICS 2020; 14:034111. [PMID: 32549924 PMCID: PMC7274813 DOI: 10.1063/5.0008461] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 05/21/2020] [Indexed: 05/16/2023]
Abstract
Real-time object identification and classification are essential in many microfluidic applications especially in the droplet microfluidics. This paper discusses the application of convolutional neural networks to detect the merged microdroplet in the flow field and classify them in an on-the-go manner based on the extent of mixing. The droplets are generated in PMMA microfluidic devices employing flow-focusing and cross-flow configurations. The visualization of binary coalescence of droplets is performed by a CCD camera attached to a microscope, and the sequence of images is recorded. Different real-time object localization and classification networks such as You Only Look Once and Singleshot Multibox Detector are deployed for droplet detection and characterization. A custom dataset to train these deep neural networks to detect and classify is created from the captured images and labeled manually. The merged droplets are segregated based on the degree of mixing into three categories: low mixing, intermediate mixing, and high mixing. The trained model is tested against images taken at different ambient conditions, droplet shapes, droplet sizes, and binary-fluid combinations, which indeed exhibited high accuracy and precision in predictions. In addition, it is demonstrated that these schemes are efficient in localization of coalesced binary droplets from the recorded video or image and classify them based on grade of mixing irrespective of experimental conditions in real time.
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Affiliation(s)
- A Arjun
- Micro/nanofluidics Research Laboratory, Department of Mechanical Engineering, College of Engineering Trivandrum, Thiruvananathapuram 695016, Kerala, India
| | - R R Ajith
- Micro/nanofluidics Research Laboratory, Department of Mechanical Engineering, College of Engineering Trivandrum, Thiruvananathapuram 695016, Kerala, India
| | - S Kumar Ranjith
- Micro/nanofluidics Research Laboratory, Department of Mechanical Engineering, College of Engineering Trivandrum, Thiruvananathapuram 695016, Kerala, India
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9
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Puiu M, Bala C. Microfluidics-integrated biosensing platforms as emergency tools for on-site field detection of foodborne pathogens. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.115831] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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10
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A Novel Microfluidic Device Integrated with Chitosan-Modified Capillaries for Rapid ZIKV Detection. MICROMACHINES 2020; 11:mi11020186. [PMID: 32054007 PMCID: PMC7074674 DOI: 10.3390/mi11020186] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 01/29/2020] [Accepted: 02/03/2020] [Indexed: 02/08/2023]
Abstract
The outbreak of Zika virus (ZIKV) has posed a great challenge to public health in recent years. To address the urgent need of ZIKV RNA assays, we integrate the microfluidic chip embedded with chitosan-modified silicon dioxide capillaries, smartphone-based detection unit to be a C3-system for the rapid extraction and detection of ZIKV RNA. The C3-system is characterized by: (1) four chitosan-modified silicon dioxide capillaries integrated in the microfluidic chip for target ZIKV RNA enrichment and “in situ PCR” (polymerase chain reaction) amplification; (2) smartphone-based point of care (POC) device consisting of a pneumatic subsystem for controlling the nucleic acid extraction processes in the microfluidic chip, a heating subsystem for sample lysis and PCR amplification, and an optical subsystem for signal acquisition. The entire detection processes including sample lysis, ZIKV RNA enrichment, and reverse-transcription polymerase chain reaction (RT-PCR) is achieved in the microfluidic chip. Moreover, PCR buffers can be directly loaded into the chitosan-modified silicon dioxide capillaries for “in situ PCR”, in which the captured ZIKV RNA is directly used for downstream PCR without any loss. ZIKV RNA extracted by the C3-system can be successfully recovered at very low concentrations of 50 transducing units (TU)/mL from crude human saliva. This means that our method of detecting viremia in patients infected with ZIKV is reliable.
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Guan Y. Performance Analysis of a Microfluidic Pump Based on Combined Actuation of the Piezoelectric Effect and Liquid Crystal Backflow Effect. MICROMACHINES 2019; 10:E584. [PMID: 31480484 PMCID: PMC6780643 DOI: 10.3390/mi10090584] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Revised: 08/29/2019] [Accepted: 08/30/2019] [Indexed: 12/28/2022]
Abstract
A novel combined actuation method based on the piezoelectric effect and liquid crystal backflow effect is proposed in this paper. The coupling mechanism of a piezoelectric transducer (PZT) and liquid crystal (LC) in a combined driving mode is analyzed, and the governing equations of electromechanical coupling based on inverse piezoelectric effect and the classical Leslie-Ericksen backflow equation are modified under combined driving method. The new multifield coupling dynamic equations for numerical analysis is established. Experimentally, a sandwiched micropump was manufactured and sealed with wet etching technology on a glass wafer. A testing platform was built to analyze the particles motion and the flow rates were measured with both single PZT or LC actuation and combined actuation. Comparing the results of the numerical analysis and experimental testing of the flow rate and LC molecule motion under different driving voltages and frequencies, the performance of the PZT/LC combined driving is found to be superior to that of the single driving mode (PZT or LC driving) under the same driving conditions. Moreover, the new combined driving mode overcome the disadvantages of single driving mode and enhance the driving efficiency significantly. The simulation results are in good agreement with the experimental data. The maximum flow rate of the micropump achieved was 4.494 μL/min with combined driving method.
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Affiliation(s)
- Yanfang Guan
- School of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China.
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12
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Zhu C, Hu A, Cui J, Yang K, Zhu X, Liu Y, Deng G, Zhu L. A Lab-on-a-Chip Device Integrated DNA Extraction and Solid Phase PCR Array for the Genotyping of High-Risk HPV in Clinical Samples. MICROMACHINES 2019; 10:mi10080537. [PMID: 31443221 PMCID: PMC6722547 DOI: 10.3390/mi10080537] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 08/09/2019] [Accepted: 08/13/2019] [Indexed: 02/01/2023]
Abstract
Point-of-care (POC) molecular diagnostics play a crucial role in the prevention and treatment of infectious diseases. It is necessary to develop portable, easy-to-use, inexpensive and rapid molecular diagnostic tools. In this study, we proposed a lab-on-a-chip device that integrated DNA extraction, solid-phase PCR and genotyping detection. The ingenious design of the pneumatic microvalves enabled the fluid mixing and reagent storage to be organically combined, significantly reducing the size of the chip. The solid oligonucleotide array incorporated into the chip allowed the spatial separation of the primers and minimized undesirable interactions in multiplex amplification. As a proof-of-concept for POC molecular diagnostics on the device, five genotypes of high-risk human papillomavirus (HPV) (HPV16/HPV18/HPV31/HPV33/HPV58) were examined. Positive quality control samples and HPV patient cervical swab specimens were analyzed on the integrated microdevice. The platform was capable of detection approximately 50 copies of HPV virus per reaction during a single step, including DNA extraction, solid-phase PCR and genotype detection, in 1 h from samples being added to the chip. This simple and inexpensive microdevice provided great utility for the screening and monitoring of HPV genotypes. The sample-to-result platform will pave the way for wider application of POC molecular testing in the fields of clinical diagnostics, food safety, and environmental monitoring.
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Affiliation(s)
- Cancan Zhu
- Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 2221 Changjiang Road, Hefei 230000, China
- Science Island Branch, University of Science and Technology of China, No. 96, JinZhai Road Baohe District, Hefei 230000, China
| | - Anzhong Hu
- Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 2221 Changjiang Road, Hefei 230000, China
| | - Junsheng Cui
- Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 2221 Changjiang Road, Hefei 230000, China
| | - Ke Yang
- Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 2221 Changjiang Road, Hefei 230000, China
| | - Xinchao Zhu
- Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 2221 Changjiang Road, Hefei 230000, China
- Science Island Branch, University of Science and Technology of China, No. 96, JinZhai Road Baohe District, Hefei 230000, China
| | - Yong Liu
- Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 2221 Changjiang Road, Hefei 230000, China
| | - Guoqing Deng
- Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 2221 Changjiang Road, Hefei 230000, China
| | - Ling Zhu
- Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 2221 Changjiang Road, Hefei 230000, China.
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