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Wang B, Li Y, Zhou M, Han Y, Zhang M, Gao Z, Liu Z, Chen P, Du W, Zhang X, Feng X, Liu BF. Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence. Nat Commun 2023; 14:1341. [PMID: 36906581 PMCID: PMC10007670 DOI: 10.1038/s41467-023-36017-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 01/10/2023] [Indexed: 03/13/2023] Open
Abstract
The frequent outbreak of global infectious diseases has prompted the development of rapid and effective diagnostic tools for the early screening of potential patients in point-of-care testing scenarios. With advances in mobile computing power and microfluidic technology, the smartphone-based mobile health platform has drawn significant attention from researchers developing point-of-care testing devices that integrate microfluidic optical detection with artificial intelligence analysis. In this article, we summarize recent progress in these mobile health platforms, including the aspects of microfluidic chips, imaging modalities, supporting components, and the development of software algorithms. We document the application of mobile health platforms in terms of the detection objects, including molecules, viruses, cells, and parasites. Finally, we discuss the prospects for future development of mobile health platforms.
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Affiliation(s)
- Bangfeng Wang
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yiwei Li
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Mengfan Zhou
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yulong Han
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA
| | - Mingyu Zhang
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Zhaolong Gao
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Zetai Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Peng Chen
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Wei Du
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xingcai Zhang
- School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.
| | - Xiaojun Feng
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
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Grigorev GV, Lebedev AV, Wang X, Qian X, Maksimov GV, Lin L. Advances in Microfluidics for Single Red Blood Cell Analysis. BIOSENSORS 2023; 13:117. [PMID: 36671952 PMCID: PMC9856164 DOI: 10.3390/bios13010117] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/04/2022] [Accepted: 12/23/2022] [Indexed: 05/24/2023]
Abstract
The utilizations of microfluidic chips for single RBC (red blood cell) studies have attracted great interests in recent years to filter, trap, analyze, and release single erythrocytes for various applications. Researchers in this field have highlighted the vast potential in developing micro devices for industrial and academia usages, including lab-on-a-chip and organ-on-a-chip systems. This article critically reviews the current state-of-the-art and recent advances of microfluidics for single RBC analyses, including integrated sensors and microfluidic platforms for microscopic/tomographic/spectroscopic single RBC analyses, trapping arrays (including bifurcating channels), dielectrophoretic and agglutination/aggregation studies, as well as clinical implications covering cancer, sepsis, prenatal, and Sickle Cell diseases. Microfluidics based RBC microarrays, sorting/counting and trapping techniques (including acoustic, dielectrophoretic, hydrodynamic, magnetic, and optical techniques) are also reviewed. Lastly, organs on chips, multi-organ chips, and drug discovery involving single RBC are described. The limitations and drawbacks of each technology are addressed and future prospects are discussed.
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Affiliation(s)
- Georgii V. Grigorev
- Data Science and Information Technology Research Center, Tsinghua Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
- Mechanical Engineering Department, University of California in Berkeley, Berkeley, CA 94720, USA
- School of Information Technology, Cherepovets State University, 162600 Cherepovets, Russia
| | - Alexander V. Lebedev
- Machine Building Department, Bauman Moscow State University, 105005 Moscow, Russia
| | - Xiaohao Wang
- Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Xiang Qian
- Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - George V. Maksimov
- Faculty of Biology, Lomonosov Moscow State University, 119991 Moscow, Russia
- Physical metallurgy Department, Federal State Autonomous Educational Institution of Higher Education National Research Technological University “MISiS”, 119049 Moscow, Russia
| | - Liwei Lin
- Mechanical Engineering Department, University of California in Berkeley, Berkeley, CA 94720, USA
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Chomean S, Attapong J, Jitsuvantaya S, Poomsaard K, Dongwilai C, Bunnun P, Kaset C. Development of Mi a Phenotyping Using Paper-Based Device. Diagnostics (Basel) 2022; 12:diagnostics12123104. [PMID: 36553111 PMCID: PMC9777619 DOI: 10.3390/diagnostics12123104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/02/2022] [Accepted: 12/07/2022] [Indexed: 12/13/2022] Open
Abstract
The MNS7 (Mia) blood group antigen is found at a different prevalence among different ethnic groups. Anti-Mia can cause hemolytic disease of the fetus and newborn (HDFN) and both acute- and delayed-type hemolytic transfusion reactions (HTR). Mia typing should be performed in donors to prevent life-threatening hemolytic transfusion reactions. The gel card and standard tube methods still need specialized equipment, centrifugation, and expertise for result interpretation. We used a novel paper-based analytical device (PAD) pre-coated with monoclonal IgM anti-Mia for Mia phenotyping. We measured grey pixel intensity in blood typing results for interpretation processing using OpenCV at the sample (SP) and elution parts (EP); furthermore, we used the SP: EP ratio and F-score as analysis criteria. We typed 214 blood EDTA samples with PAD-Mia and then compared with gel card results for setting an analysis criterion. We observed 100% sensitivity, specificity, and accuracy when we applied the SP: EP ratio and F-score with the optimal criterion (1.07 and 0.17 for SP: EP ratio and F-score, respectively). The validation of PAD-Mia typing for blood donor samples (n = 150) via F-score gave 100% sensitivity and specificity when compared with the gel card method; therefore, we argue that PAD-Mia typing can be used for Mia phenotyping without sero-centrifugation. Moreover, to study the correlation between genotype and phenotype, PCR-SSP was performed to identify GYP(B-A-B) hybrids. The results revealed that all Mia+ blood samples gave a positive with GP. Hut, GP. HF, GP. Mur, GP. Hop, and GP. Bun. Results of the gel card method and PCR-SSP were concordant. Hence, using PAD-Mia typing in blood donors would be helpful for creating a phenotype database of blood donors for reducing alloimmunization risks.
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Affiliation(s)
- Sirinart Chomean
- Department of Medical Technology, Faculty of Allied Health Sciences, Thammasat University, Pathumthani 12120, Thailand
| | - Jirapat Attapong
- Thammasat University Research Unit in Medical Technology and Precision Medicine Innovation, Pathumthani 12120, Thailand
| | - Sumittra Jitsuvantaya
- Thammasat University Research Unit in Medical Technology and Precision Medicine Innovation, Pathumthani 12120, Thailand
| | - Komin Poomsaard
- Department of Medical Technology, Faculty of Allied Health Sciences, Thammasat University, Pathumthani 12120, Thailand
| | - Chadchadaporn Dongwilai
- Department of Medical Technology, Faculty of Allied Health Sciences, Thammasat University, Pathumthani 12120, Thailand
| | - Pished Bunnun
- Industrial IoT and Automation Research Group (IIARG), National Electronics and Computer Technology Center (NECTEC), 112 Phaholyothin Road, Khlong Luang District, Pathumthani 12120, Thailand
| | - Chollanot Kaset
- Department of Medical Technology, Faculty of Allied Health Sciences, Thammasat University, Pathumthani 12120, Thailand
- Thammasat University Research Unit in Medical Technology and Precision Medicine Innovation, Pathumthani 12120, Thailand
- Correspondence:
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Szittner Z, Péter B, Kurunczi S, Székács I, Horváth R. Functional blood cell analysis by label-free biosensors and single-cell technologies. Adv Colloid Interface Sci 2022; 308:102727. [DOI: 10.1016/j.cis.2022.102727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 05/25/2022] [Accepted: 06/27/2022] [Indexed: 11/01/2022]
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Integration of a multichannel surface plasmon resonance sensor chip and refractive index matching film array for protein detection in human urine. Talanta 2022; 246:123533. [DOI: 10.1016/j.talanta.2022.123533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 04/30/2022] [Accepted: 05/05/2022] [Indexed: 11/22/2022]
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Abstract
Red blood cell (RBC) transfusion is one of the most frequently performed clinical procedures and therapies to improve tissue oxygen delivery in hospitalized patients worldwide. Generally, the cross-match is the mandatory test in place to meet the clinical needs of RBC transfusion by examining donor-recipient compatibility with antigens and antibodies of blood groups. Blood groups are usually an individual's combination of antigens on the surface of RBCs, typically of the ABO blood group system and the RH blood group system. Accurate and reliable blood group typing is critical before blood transfusion. Serological testing is the routine method for blood group typing based on hemagglutination reactions with RBC antigens against specific antibodies. Nevertheless, emerging technologies for blood group testing may be alternative and supplemental approaches when serological methods cannot determine blood groups. Moreover, some new technologies, such as the evolving applications of blood group genotyping, can precisely identify variant antigens for clinical significance. Therefore, this review mainly presents a clinical overview and perspective of emerging technologies in blood group testing based on the literature. Collectively, this may highlight the most promising strategies and promote blood group typing development to ensure blood transfusion safety.
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Affiliation(s)
- Hong-Yang Li
- Department of Blood Transfusion, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Kai Guo
- Department of Transfusion Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Kai Guo
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7
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Sensitivity Analysis of Single- and Bimetallic Surface Plasmon Resonance Biosensors. SENSORS 2021; 21:s21134348. [PMID: 34202104 PMCID: PMC8271734 DOI: 10.3390/s21134348] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/19/2021] [Accepted: 06/21/2021] [Indexed: 12/16/2022]
Abstract
Comparative analysis of the sensitivity of two surface plasmon resonance (SPR) biosensors was conducted on a single-metallic Au sensor and bimetallic Ag–Au sensor, using a cathepsin S sensor as an example. Numerically modeled resonance curves of Au and Ag–Au layers, with parameters verified by the results of experimental reflectance measurement of real-life systems, were used for the analysis of these sensors. Mutual relationships were determined between ∂Y/∂n components of sensitivity of the Y signal in the SPR measurement to change the refractive index n of the near-surface sensing layer and ∂n/∂c sensitivity of refractive index n to change the analyte’s concentration, c, for both types of sensors. Obtained results were related to experimentally determined calibration curves of both sensors. A characteristic feature arising from the comparison of calibration curves is the similar level of Au and Ag–Au biosensors’ sensitivity in the linear range, where the signal of the AgAu sensor is at a level several times greater. It was shown that the influence of sensing surface morphology on the ∂n/∂c sensitivity component had to be incorporated to explain the features of calibration curves of sensors. The shape of the sensory surface relief was proposed to increase the sensor sensitivity at low analyte concentrations.
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Zhang H, Liu R, Li Q, Hu X, Wu L, Zhou Y, Qing G, Yuan R, Huang J, Gu W, Ye Y, Qi C, Han M, Chen X, Zhu X, Deng Y, Zhang L, Chen H, Zhang H, Gao W, Liu Y, Luo Y. Flipped Quick-Response Code Enables Reliable Blood Grouping. ACS NANO 2021; 15:7649-7658. [PMID: 33871962 DOI: 10.1021/acsnano.1c01215] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Accurate and rapid blood typing plays a vital role in a variety of biomedical and forensic scenarios, but recognizing weak agglutination remains challenging. Herein, we demonstrated a flipping identification with a prompt error-discrimination (FLIPPED) platform for automatic blood group readouts. Bromocresol green dye was exploited as a characteristic chromatography indicator for the differentiation of plasma from whole blood by presenting a teal color against a brown color. After integrating these color changes into a quick-response (QR) code, prompt typing of ABO and Rhesus groups was automatically achieved and data could be uploaded wirelessly within 30 s using a commercially available smartphone to facilitate blood cross-matching. We further designed a color correction model and algorithm to remove potential errors from scanning angles and ambient light intensities, by which weak agglutination could be accurately recognized. With comparable accuracy and repeatability to classical column assay in grouping 450 blood samples, the proposed approach further demonstrates to be a versatile sample-to-result platform for clinical diagnostics, food safety, and environmental monitoring.
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Affiliation(s)
- Hong Zhang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
- College of Bioengineering, Chongqing University, Chongqing 400044, People's Republic of China
| | - Ruining Liu
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
| | - Qingmei Li
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
- College of Bioengineering, Chongqing University, Chongqing 400044, People's Republic of China
| | - Xiaolin Hu
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
- College of Bioengineering, Chongqing University, Chongqing 400044, People's Republic of China
| | - Lixiang Wu
- Chongqing University Cancer Hospital, Chongqing 400044, People's Republic of China
| | - Ye Zhou
- College of Biomedical Engineering, Chongqing Medical University, Chongqing 400042, People's Republic of China
| | - Guangchao Qing
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
- College of Bioengineering, Chongqing University, Chongqing 400044, People's Republic of China
| | - Rui Yuan
- College of Bioengineering, Chongqing University, Chongqing 400044, People's Republic of China
| | - Junjie Huang
- College of Bioengineering, Chongqing University, Chongqing 400044, People's Republic of China
| | - Wei Gu
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
| | - Yanyao Ye
- Department of Laboratory Medicine, Chongqing High-tech Zone People's Hospital, Chongqing 400039, People's Republic of China
| | - Chao Qi
- Department of Blood Transfusion, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing 400038, People's Republic of China
| | - Mei Han
- Chongqing Public Health Medical Center, Chongqing 400030, People's Republic of China
| | - Xiaohui Chen
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
- College of Bioengineering, Chongqing University, Chongqing 400044, People's Republic of China
| | - Xun Zhu
- School of Energy and Power Engineering, Institute of Engineering Thermophysics, Chongqing University, Chongqing 400044, People's Republic of China
| | - Yun Deng
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
- College of Bioengineering, Chongqing University, Chongqing 400044, People's Republic of China
| | - Liangliang Zhang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
- College of Bioengineering, Chongqing University, Chongqing 400044, People's Republic of China
| | - Hengyi Chen
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
| | - Haoran Zhang
- School of Energy and Power Engineering, Institute of Engineering Thermophysics, Chongqing University, Chongqing 400044, People's Republic of China
| | - Weiyin Gao
- Department of Emergency, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, People's Republic of China
| | - Yao Liu
- Chongqing University Cancer Hospital, Chongqing 400044, People's Republic of China
| | - Yang Luo
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400044, People's Republic of China
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Lee EY, Kim Y, Koo B, Noh GS, Lee H, Shin Y. A novel nucleic acid amplification system based on nano-gap embedded active disk resonators. SENSORS AND ACTUATORS. B, CHEMICAL 2020. [PMID: 32501366 DOI: 10.1016/j.snb.2020.128358] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Recent advances in nucleic acid based testing using bio-optical sensor approaches have been introduced but most are based on hybridization between the optical sensor and the bio-molecule and not on an amplification mechanism. Direct nucleic acid amplification on an optical sensor has several technical limitations, such as the sensitivity of the temperature sensor, instrument complexity, and high background signal. We here describe a novel nucleic acid amplification method based on a whispering gallery mode active resonator and discuss its potential molecular diagnostic application. By implanting nanoclusters as active compounds, this active resonator operates without tapered fiber coupling and emits a strong photoluminescence signal with low background in the wavelength of low absorption in an aqueous environment that is typical of biosensors. Our method also offers an extremely low detection threshold down to a single copy within 10 min due to the strong light-matter interaction in a nano-gap structure. We envision that this active resonator provides a high refractive index contrast for tight mode confinement with simple alignment as well as the possibility of reducing the device size so that a point-of-care system with low-cost, high-sensitivity and simplicity.
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Affiliation(s)
- Eun Yeong Lee
- Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Yeseul Kim
- Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea
| | - Bonhan Koo
- Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Geun Su Noh
- Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Hansuek Lee
- Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea
- Graduate School of Nanoscience and Technology, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea
| | - Yong Shin
- Department of Convergence Medicine, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
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Sheng N, Liu L, Liu H. Quantitative determination of agglutination based on the automatic hematology analyzer and the clinical significance of the erythrocyte-specific antibody. Clin Chim Acta 2020; 510:21-25. [PMID: 32622967 DOI: 10.1016/j.cca.2020.06.042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/15/2020] [Accepted: 06/26/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The objective of this work was to explore the similarities and differences between the automatic hematology analyzer method and the traditional slide method in the detection of red blood cell (RBC) agglutination, and demonstrate that the automatic hematology analyzer is more intuitive and reliable for the detection of RBC agglutination. A further objective was to establish a new method to facilitate new ideas for clinical research. METHODS Type A serum was selected and diluted 1:2, 1:4, 1:8, 1:16, and 1:32, to react with the type B cells and the normal saline group was used as the control group. An RBC count was performed using an automatic hematology analyzer, after incubation in a warm bath for 30 min. The degree of agglutination on the glass slide was also recorded. A positive serum of antinuclear antibody (ANA) was collected and RBC agglutination between RBC-O and ANA positive serum was determined using the automatic hematology analyzer method. RESULT The relationship between the results from the automatic hematology analyzer and the agglutination strength using the glass slide method was determined. There was a significant difference between the serum of ANA positive patients and the normal control group (P < 0.05). CONCLUSION A new method for detecting RBC agglutination using an automatic hematology analyzer has been established and is a valid tool for clinical research.
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Affiliation(s)
- Nan Sheng
- College of Medical Laboratory, Dalian Medical University, Dalian, China
| | - Lina Liu
- College of Medical Laboratory, Dalian Medical University, Dalian, China
| | - Hui Liu
- College of Medical Laboratory, Dalian Medical University, Dalian, China.
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11
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Abstract
Accurate blood typing is required before transfusion. A number of methods have been developed to improve blood typing, but these are not user-friendly. Here, we have developed a microfluidic smart blood-typing device operated by finger actuation. The blood-typing result is displayed by means of microfluidic channels with the letter and the symbol of the corresponding blood type. To facilitate the mixing of blood and reagents, the two sample inlets are connected to a single actuation chamber. According to the agglutination aspect in the mixture, the fluids are directed to both the microslit filter channels and bypass channels, or only to the bypass channels. The dimension of the microslit filter being clogged by the red blood cell aggregates was optimized to achieve reliable blood-typing results. The flow rate ratio between two channels in the absence of agglutination was subjected to numerical analysis. With this device, blood typing was successfully performed by seven button pushes using less than 10 μL of blood within 30 s.
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Affiliation(s)
- Juhwan Park
- Department of Bio and Brain Engineering , Korea Advanced Institute of Science and Technology (KAIST) , 291 Daehak-ro, Yuseong-gu , Daejeon 34141 , Republic of Korea
| | - Je-Kyun Park
- Department of Bio and Brain Engineering , Korea Advanced Institute of Science and Technology (KAIST) , 291 Daehak-ro, Yuseong-gu , Daejeon 34141 , Republic of Korea.,KAIST Institute for Health Science and Technology , 291 Daehak-ro, Yuseong-gu , Daejeon 34141 , Republic of Korea
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12
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Wang D, Loo JFC, Chen J, Yam Y, Chen SC, He H, Kong SK, Ho HP. Recent Advances in Surface Plasmon Resonance Imaging Sensors. SENSORS 2019; 19:s19061266. [PMID: 30871157 PMCID: PMC6471112 DOI: 10.3390/s19061266] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 02/22/2019] [Accepted: 02/26/2019] [Indexed: 12/12/2022]
Abstract
The surface plasmon resonance (SPR) sensor is an important tool widely used for studying binding kinetics between biomolecular species. The SPR approach offers unique advantages in light of its real-time and label-free sensing capabilities. Until now, nearly all established SPR instrumentation schemes are based on single- or several-channel configurations. With the emergence of drug screening and investigation of biomolecular interactions on a massive scale these days for finding more effective treatments of diseases, there is a growing demand for the development of high-throughput 2-D SPR sensor arrays based on imaging. The so-called SPR imaging (SPRi) approach has been explored intensively in recent years. This review aims to provide an up-to-date and concise summary of recent advances in SPRi. The specific focuses are on practical instrumentation designs and their respective biosensing applications in relation to molecular sensing, healthcare testing, and environmental screening.
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Affiliation(s)
- Dongping Wang
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China.
| | - Jacky Fong Chuen Loo
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
- Biochemistry Programme, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.
| | - Jiajie Chen
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
| | - Yeung Yam
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China.
| | - Shih-Chi Chen
- Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China.
| | - Hao He
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Siu Kai Kong
- Biochemistry Programme, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China.
| | - Ho Pui Ho
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
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13
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Xia Y, Zhang P, Yuan H, Su R, Huang R, Qi W, He Z. Sequential sandwich immunoassay for simultaneous detection in trace samples using single-channel surface plasmon resonance. Analyst 2019; 144:5700-5705. [DOI: 10.1039/c9an01183h] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
An efficient and facile method of a sequential sandwich immunoassay was developed for simultaneous detection in trace samples using single-channel SPR with low-dosage samples and testing times.
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Affiliation(s)
- Yinqiang Xia
- State Key Laboratory of Chemical Engineering
- Tianjin Key Laboratory of Membrane Science and Desalination Technology
- School of Chemical Engineering and Technology
- Tianjin University
- Tianjin 300072
| | - Peiqian Zhang
- State Key Laboratory of Chemical Engineering
- Tianjin Key Laboratory of Membrane Science and Desalination Technology
- School of Chemical Engineering and Technology
- Tianjin University
- Tianjin 300072
| | - Hui Yuan
- State Key Laboratory of Chemical Engineering
- Tianjin Key Laboratory of Membrane Science and Desalination Technology
- School of Chemical Engineering and Technology
- Tianjin University
- Tianjin 300072
| | - Rongxin Su
- State Key Laboratory of Chemical Engineering
- Tianjin Key Laboratory of Membrane Science and Desalination Technology
- School of Chemical Engineering and Technology
- Tianjin University
- Tianjin 300072
| | - Renliang Huang
- School of Environmental Science and Engineering
- Tianjin University
- Tianjin 300072
- PR China
| | - Wei Qi
- State Key Laboratory of Chemical Engineering
- Tianjin Key Laboratory of Membrane Science and Desalination Technology
- School of Chemical Engineering and Technology
- Tianjin University
- Tianjin 300072
| | - Zhimin He
- State Key Laboratory of Chemical Engineering
- Tianjin Key Laboratory of Membrane Science and Desalination Technology
- School of Chemical Engineering and Technology
- Tianjin University
- Tianjin 300072
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14
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Szittner Z, Bentlage AE, Donk E, Ligthart PC, Lissenberg‐Thunnissen S, Schoot CE, Vidarsson G. Multiplex blood group typing by cellular surface plasmon resonance imaging. Transfusion 2018; 59:754-761. [DOI: 10.1111/trf.15071] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 09/21/2018] [Accepted: 10/16/2018] [Indexed: 12/16/2022]
Affiliation(s)
- Zoltan Szittner
- Department of Experimental ImmunohematologySanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam Amsterdam The Netherlands
| | - Arthur E.H. Bentlage
- Department of Experimental ImmunohematologySanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam Amsterdam The Netherlands
| | - Eric Donk
- Department of ReagentsSanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam Amsterdam The Netherlands
| | - Peter C. Ligthart
- Department of Diagnostics, Sanquin Research and Landsteiner LaboratoryAcademic Medical Centre, University of Amsterdam Amsterdam The Netherlands
| | - Suzanne Lissenberg‐Thunnissen
- Department of Experimental ImmunohematologySanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam Amsterdam The Netherlands
| | - C. Ellen Schoot
- Department of Experimental ImmunohematologySanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam Amsterdam The Netherlands
| | - Gestur Vidarsson
- Department of Experimental ImmunohematologySanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam Amsterdam The Netherlands
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