Literature DB >> 24404008

A negative-pressure-driven microfluidic chip for the rapid detection of a bladder cancer biomarker in urine using bead-based enzyme-linked immunosorbent assay.

Yen-Heng Lin1, Ying-Ju Chen2, Chao-Sung Lai3, Yi-Ting Chen4, Chien-Lun Chen5, Jau-Song Yu4, Yu-Sun Chang4.   

Abstract

This paper describes an integrated microfluidic chip that is capable of rapidly and quantitatively measuring the concentration of a bladder cancer biomarker, apolipoprotein A1, in urine samples. All of the microfluidic components, including the fluid transport system, the micro-valve, and the micro-mixer, were driven by negative pressure, which simplifies the use of the chip and facilitates commercialization. Magnetic beads were used as a solid support for the primary antibody, which captured apolipoprotein A1 in patients' urine. Because of the three-dimensional structure of the magnetic beads, the concentration range of the target that could be detected was as high as 2000 ng ml(-1). Because this concentration is 100 times higher than that quantifiable using a 96-well plate with the same enzyme-linked immunosorbent assay (ELISA) kit, the dilution of the patient's urine can be avoided or greatly reduced. The limit of detection was determined to be approximately 10 ng ml(-1), which is lower than the cutoff value for diagnosing bladder cancer (11.16 ng ml(-1)). When the values measured using the microfluidic chip were compared with those measured using conventional ELISA using a 96-well plate for five patients, the deviations were 0.9%, 6.8%, 9.4%, 1.8%, and 5.8%. The entire measurement time is 6-fold faster than that of conventional ELISA. This microfluidic device shows significant potential for point-of-care applications.

Entities:  

Year:  2013        PMID: 24404008      PMCID: PMC3606202          DOI: 10.1063/1.4794974

Source DB:  PubMed          Journal:  Biomicrofluidics        ISSN: 1932-1058            Impact factor:   2.800


  28 in total

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Review 3.  Microfluidics for flow cytometric analysis of cells and particles.

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4.  Acoustophoretic microfluidic chip for sequential elution of surface bound molecules from beads or cells.

Authors:  Per Augustsson; Johan Malm; Simon Ekström
Journal:  Biomicrofluidics       Date:  2012-09-04       Impact factor: 2.800

5.  Design criteria for developing low-resource magnetic bead assays using surface tension valves.

Authors:  Nicholas M Adams; Amy E Creecy; Catherine E Majors; Bathsheba A Wariso; Philip A Short; David W Wright; Frederick R Haselton
Journal:  Biomicrofluidics       Date:  2013-01-18       Impact factor: 2.800

6.  Microfluidic immunoassays as rapid saliva-based clinical diagnostics.

Authors:  Amy E Herr; Anson V Hatch; Daniel J Throckmorton; Huu M Tran; James S Brennan; William V Giannobile; Anup K Singh
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-20       Impact factor: 11.205

7.  Discovery of novel bladder cancer biomarkers by comparative urine proteomics using iTRAQ technology.

Authors:  Yi-Ting Chen; Chien-Lun Chen; Hsiao-Wei Chen; Ting Chung; Chih-Ching Wu; Chi-De Chen; Chia-Wei Hsu; Meng-Chieh Chen; Ke-Hung Tsui; Phei-Lang Chang; Yu-Sun Chang; Jau-Song Yu
Journal:  J Proteome Res       Date:  2010-09-17       Impact factor: 4.466

8.  High-sensitivity miniaturized immunoassays for tumor necrosis factor alpha using microfluidic systems.

Authors:  Sandro Cesaro-Tadic; Gregor Dernick; David Juncker; Gerrit Buurman; Harald Kropshofer; Bruno Michel; Christof Fattinger; Emmanuel Delamarche
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9.  Institutional variability in the accuracy of urinary cytology for predicting recurrence of transitional cell carcinoma of the bladder.

Authors:  Pierre I Karakiewicz; Serge Benayoun; Craig Zippe; Gerson Lüdecke; Hans Boman; Marta Sanchez-Carbayo; Roberto Casella; Christine Mian; Martin G Friedrich; Sanaa Eissa; Hideyuki Akaza; Hartwig Huland; Hans Hedelin; Raina Rupesh; Naoto Miyanaga; Arthur I Sagalowsky; Michael J Marberger; Shahrokh F Shariat
Journal:  BJU Int       Date:  2006-03-17       Impact factor: 5.588

10.  Identification of Apo-A1 as a biomarker for early diagnosis of bladder transitional cell carcinoma.

Authors:  Hongjie Li; Changying Li; Huili Wu; Ting Zhang; Jin Wang; Shixin Wang; Jiwu Chang
Journal:  Proteome Sci       Date:  2011-04-17       Impact factor: 2.480

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  12 in total

1.  Automatic sequential fluid handling with multilayer microfluidic sample isolated pumping.

Authors:  Jixiao Liu; Hai Fu; Tianhang Yang; Songjing Li
Journal:  Biomicrofluidics       Date:  2015-10-01       Impact factor: 2.800

2.  A highly efficient bead extraction technique with low bead number for digital microfluidic immunoassay.

Authors:  Cheng-Yeh Huang; Po-Yen Tsai; I-Chin Lee; Hsin-Yun Hsu; Hong-Yuan Huang; Shih-Kang Fan; Da-Jeng Yao; Cheng-Hsien Liu; Wensyang Hsu
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3.  Microfluidic immunomagnetic cell separation using integrated permanent micromagnets.

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4.  Direct detection of cancer biomarkers in blood using a "place n play" modular polydimethylsiloxane pump.

Authors:  Honglian Zhang; Gang Li; Lingying Liao; Hongju Mao; Qinghui Jin; Jianlong Zhao
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5.  On-chip actuation transmitter for enhancing the dynamic response of cell manipulation using a macro-scale pump.

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Journal:  Biomicrofluidics       Date:  2015-02-06       Impact factor: 2.800

6.  On-chip magnetophoretic isolation of CD4 + T cells from blood.

Authors:  Jeff Darabi; Chuan Guo
Journal:  Biomicrofluidics       Date:  2013-09-11       Impact factor: 2.800

Review 7.  Novel developments in mobile sensing based on the integration of microfluidic devices and smartphones.

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Journal:  Lab Chip       Date:  2016-02-22       Impact factor: 6.799

8.  Microfluidic flow cytometry: The role of microfabrication methodologies, performance and functional specification.

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9.  Smartphone-interfaced lab-on-a-chip devices for field-deployable enzyme-linked immunosorbent assay.

Authors:  Arnold Chen; Royal Wang; Candace R S Bever; Siyuan Xing; Bruce D Hammock; Tingrui Pan
Journal:  Biomicrofluidics       Date:  2014-11-05       Impact factor: 2.800

10.  Rapid, automated, parallel quantitative immunoassays using highly integrated microfluidics and AlphaLISA.

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Journal:  Sci Rep       Date:  2015-06-15       Impact factor: 4.379

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