Literature DB >> 19110413

Development of an open stand-alone platform for regenerable automated microarrays.

Katrin Kloth1, Reinhard Niessner, Michael Seidel.   

Abstract

A novel automated chemiluminescence (CL) read-out system for analytical flow-through microarrays based on multiplexed immunoassays has been developed. The microarray chip reader (MCR 3) is designed as a stand-alone platform, with the goal to quantify multiple analytes in complex matrices of food and liquid samples for field analysis or for routine analytical laboratories. The CL microarray platform is a self-contained system for the fully automated multiplexed immunoanalysis: the microarray chip, the fluidic system and the software module enable automated calibration and determination of analyte concentrations during a whole working day. The detection of antibiotics in milk was demonstrated to validate this device. There are few quantitative multi-residue detection methods for routine analysis although the EU has defined maximum residue limits (MRLs) for a number of antibacterial reagents. Therefore, an automated multianalyte detection instrument is needed quantifying simultaneously antibiotics within some minutes. Also regeneration is required to avoid replacing the assay surface. The MCR 3 uses a microarray chip, which consists of two channels for parallel measurement and regeneration. The microarray chip is designed for parallel analysis of up to 13 different antibiotics in milk applying an indirect competitive microarray immunoassay (MIA). Microspotted antibiotics are directly coupled to epoxylated PEG surfaces. As an initial example, penicillin G is quantified in milk on the MCR 3. The penicillin G surface is regenerable for 47 measurement cycles per channel. A limit of detection (LOD) of 1.1 microg/L is achieved by an assay time of 6 min.

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Year:  2008        PMID: 19110413     DOI: 10.1016/j.bios.2008.11.005

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  8 in total

1.  Razor-printed sticker microdevices for cell-based applications.

Authors:  Loren E Stallcop; Yasmín R Álvarez-García; Ana M Reyes-Ramos; Karla P Ramos-Cruz; Molly M Morgan; Yatao Shi; Lingjun Li; David J Beebe; Maribella Domenech; Jay W Warrick
Journal:  Lab Chip       Date:  2018-01-30       Impact factor: 6.799

2.  Janus electrochemistry: Simultaneous electrochemical detection at multiple working conditions in a paper-based analytical device.

Authors:  Siriwan Nantaphol; Alyssa A Kava; Robert B Channon; Takeshi Kondo; Weena Siangproh; Orawon Chailapakul; Charles S Henry
Journal:  Anal Chim Acta       Date:  2019-01-29       Impact factor: 6.558

Review 3.  Physiologically based pharmacokinetic models: integration of in silico approaches with micro cell culture analogues.

Authors:  A Chen; M L Yarmush; T Maguire
Journal:  Curr Drug Metab       Date:  2012-07       Impact factor: 3.731

Review 4.  Microarray technology for major chemical contaminants analysis in food: current status and prospects.

Authors:  Zhaowei Zhang; Peiwu Li; Xiaofeng Hu; Qi Zhang; Xiaoxia Ding; Wen Zhang
Journal:  Sensors (Basel)       Date:  2012-07-04       Impact factor: 3.576

5.  Regeneration of recombinant antigen microarrays for the automated monitoring of antibodies against zoonotic pathogens in swine sera.

Authors:  Verena K Meyer; Catharina Kober; Reinhard Niessner; Michael Seidel
Journal:  Sensors (Basel)       Date:  2015-01-23       Impact factor: 3.576

Review 6.  Multiplex bioanalytical methods for food and environmental monitoring.

Authors:  Sabina Rebe Raz; Willem Haasnoot
Journal:  Trends Analyt Chem       Date:  2011-07-29       Impact factor: 12.296

7.  Flow-based regenerable chemiluminescence receptor assay for the detection of tetracyclines.

Authors:  Verena K Meyer; Claire V Chatelle; Wilfried Weber; Reinhard Niessner; Michael Seidel
Journal:  Anal Bioanal Chem       Date:  2020-01-16       Impact factor: 4.142

8.  A Portable Microfluidic System for Point-of-Care Detection of Multiple Protein Biomarkers.

Authors:  Nan Li; Minjie Shen; Youchun Xu
Journal:  Micromachines (Basel)       Date:  2021-03-24       Impact factor: 2.891

  8 in total

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