Cell-phone-based measurement of TSH using Mie scatter optimized lateral flow assays

You, David J.; Park, Tu San; Yoon, Jeong Yeol

doi:10.1016/j.bios.2012.07.014

Cited by 192 publications

(87 citation statements)

References 17 publications

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“…To meet this challenge continuing efforts have been invested to design easy, rapid, sensitive and selective biosensing platforms [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. However, efforts mostly remain confined to the diagnostic labs, because such diagnostics require use of expensive devices.…”

Section: Introductionmentioning

confidence: 99%

Biosensor Based Cell-Phone Integrated Point of Care Diagnostic Devices: Challenges

Kumar¹

2017

IJBSBE

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Section: Introductionmentioning

confidence: 99%

Biosensor Based Cell-Phone Integrated Point of Care Diagnostic Devices: Challenges

Kumar¹

2017

IJBSBE

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“…Generally, quantity tests are realized by checking whether there are control and test lines and reported the result with cell phone based RDT readers [1,16,17]. Also, the smart phone or Google Glass based RDTs, which can be done quantity tests, report the amount of the sample that is tested [18][19][20]. The mentioned cell phone based RDT readers have such electronic component for illumination.…”

Section: Introductionmentioning

confidence: 99%

Rapid Daignostic Lateral Flow Strip Test Reader

Özkan¹

2017

Balkan Journal of Electrical and Computer Engineering

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Abstract-Non-invasive rapid diagnostic tests (RDT) are commonly used to detect some kind of viruses or bacteria instead of invasive methods. Helicobacter pylori (H. Pylori) which causes gastric cancer, peptic ulcer, gastritis, mucosa-associated lymphoid tissue lymphoma diseases can be detected easily with lateral flow strip (LFS) that is one of the RDT types. The tests are evaluated whether there are control line and test line at the region of interest (ROI) by users or microbiology technicians manually. Once the test line is tentative, despite the test must be reported positive, it can be resulted as negative incorrectly. This incorrect diagnose causes incorrect treatment planning. In this work, to mitigate this problem which will be able to occur by human based, an automatic LFS-RDT reading system is developed. The computer laptop based system firstly takes image utilizing the holders that are designed with 3D printer. Whether the test have the control-test lines or not are carried out by image processing techniques straightforwardly. After feature extraction from line areas, k-NN classification method is used to evaluate the test results automatically. 100 LFS-RDTs are tested and observed that all results are correct. The system is found quite useful and approved as a second reader by medical technicians.

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“…[1][2][3] Immunological detection technology has improved rapidly in the past few decades, and a number of immunoassays are widely used in medicine, including radioimmunoassays, enzymelinked immunosorbent assays, fluorescence immunoassays, immunoturbidimetric assays, and chemiluminescence immunoassays. [4][5][6] However, most of these techniques require expensive instrumentation and an inflexible set of reagents.…”

Section: Introductionmentioning

confidence: 99%

Rapid and quantitative detection of C-reactive protein using quantum dots and immunochromatographic test strips

Cheng¹,

Xu²,

Jun³

et al. 2014

IJN

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Background Rapid immunochromatographic tests can detect disease markers in 10–15 minutes, which facilitates clinical diagnosis and treatment programs. However, most immunochromatographic tests employ gold nanoparticles as reporters, and these have only moderate sensitivity and act as qualitative methods for analyzing high biomarker concentrations. Methods In this study, we introduce quantum dots (QDs) as fluorescent probes and immunochromatographic strips to develop quantitative fluorescence point-of-care tests (QF-POCT) to analyze C-reactive protein (CRP) levels. Goat anti-rabbit IgG and rabbit IgG were used as control antibodies, and mouse monoclonal CRP antibody pairs were used for disease marker detection. One monoclonal CRP antibody was conjugated with QDs and served as a signal antibody, and the other monoclonal CRP antibody was dispensed onto the nitrocellulose membrane and served as a capturing antibody. In the presence of CRP, the fluorescence intensity of the monoclonal antibody-CRP-monoclonal antibody sandwich complex captured on the nitrocellulose membrane was determined using the fluorescence strip reader. Results QF-POCT assays could quantitatively analyze the concentration of CRP in 15 minutes had a detection limit of 0.25 mg/L, and had a wide detection linearity range (0.5–300 mg/L). The intra-assay and interassay coefficients of variation were 8.95% and 9.86% at 0.5 mg/L, 6.47% and 8.66% at 10 mg/L, and 6.81% and 9.10% at 60 mg/L, respectively. In a comparison between clinical samples, the results of this QD-based assay of CRP levels were significantly correlated with those of an Immulite 2000 assay ( R =0.993, P <0.001). Conclusion Our results demonstrated that the QD-based immunochromatographic test is a rapid, sensitive, accurate, and quantitative method for the detection of disease biomarkers.

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Cell-phone-based measurement of TSH using Mie scatter optimized lateral flow assays

Cited by 192 publications

References 17 publications

Biosensor Based Cell-Phone Integrated Point of Care Diagnostic Devices: Challenges

Biosensor Based Cell-Phone Integrated Point of Care Diagnostic Devices: Challenges

Rapid Daignostic Lateral Flow Strip Test Reader

Rapid and quantitative detection of C-reactive protein using quantum dots and immunochromatographic test strips

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