Literature DB >> 25824205

Fully Automated Quantification of Insulin Concentration Using a Microfluidic-Based Chemiluminescence Immunoassay.

Ping Yao1, Zhu Liu2, Steve Tung3, Zaili Dong2, Lianqing Liu2.   

Abstract

A fully automated microfluidic-based detection system for the rapid determination of insulin concentration through a chemiluminescence immunoassay has been developed. The microfluidic chip used in the system is a double-layered polydimethylsiloxane device embedded with interconnecting micropumps, microvalves, and a micromixer. At a high injection rate of the developing solution, the chemiluminescence signal can be excited and measured within a short period of time. The integral value of the chemiluminescence light signal is used to determine the insulin concentration of the samples, and the results indicate that the measurement is accurate in the range from 1.5 pM to 391 pM. The entire chemiluminescence assay can be completed in less than 10 min. The fully automated microfluidic-based insulin detection system provides a useful platform for rapid determination of insulin in clinical diagnostics for diabetes, which is expected to become increasingly important for future point-of-care applications.
© 2016 Society for Laboratory Automation and Screening.

Entities:  

Keywords:  chemiluminescence; insulin; microfluidics; point-of-care testing (POCT); rapid determination

Mesh:

Substances:

Year:  2015        PMID: 25824205     DOI: 10.1177/2211068215578822

Source DB:  PubMed          Journal:  J Lab Autom        ISSN: 2211-0682


  5 in total

1.  Evaluation of disposable microfluidic chip design for automated and fast Immunoassays.

Authors:  Guochun Wang; Champak Das; Bradley Ledden; Qian Sun; Chien Nguyen; Sai Kumar
Journal:  Biomicrofluidics       Date:  2017-02-22       Impact factor: 2.800

2.  Multi-Omic Analyses Reveal Bifidogenic Effect and Metabolomic Shifts in Healthy Human Cohort Supplemented With a Prebiotic Dietary Fiber Blend.

Authors:  Jea Woo Kang; Xinyu Tang; Charles J Walton; Mark J Brown; Rachel A Brewer; Rolando L Maddela; Jack Jingyuan Zheng; Joanne K Agus; Angela M Zivkovic
Journal:  Front Nutr       Date:  2022-06-17

Review 3.  Opto-Microfluidic Immunosensors: From Colorimetric to Plasmonic.

Authors:  Jie-Long He; Da-Shin Wang; Shih-Kang Fan
Journal:  Micromachines (Basel)       Date:  2016-02-15       Impact factor: 2.891

Review 4.  A Review of Optical Imaging Technologies for Microfluidics.

Authors:  Pan Zhou; Haipeng He; Hanbin Ma; Shurong Wang; Siyi Hu
Journal:  Micromachines (Basel)       Date:  2022-02-08       Impact factor: 2.891

5.  Attogram-level light-induced antigen-antibody binding confined in microflow.

Authors:  Takuya Iida; Shiho Tokonami; Shota Hamatani; Yumiko Takagi; Kana Fujiwara; Mamoru Tamura
Journal:  Commun Biol       Date:  2022-10-06
  5 in total

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