Literature DB >> 17892272

Flexible automated approach for quantitative liquid handling of complex biological samples.

Joe Palandra1, David Weller, Gary Hudson, Jeff Li, Sarah Osgood, Emily Hudson, Min Zhong, Lisa Buchholz, Lucinda H Cohen.   

Abstract

A fully automated protein precipitation technique for biological sample preparation has been developed for the quantitation of drugs in various biological matrixes. All liquid handling during sample preparation was automated using a Hamilton MicroLab Star Robotic workstation, which included the preparation of standards and controls from a Watson laboratory information management system generated work list, shaking of 96-well plates, and vacuum application. Processing time is less than 30 s per sample or approximately 45 min per 96-well plate, which is then immediately ready for injection onto an LC-MS/MS system. An overview of the process workflow is discussed, including the software development. Validation data are also provided, including specific liquid class data as well as comparative data of automated vs manual preparation using both quality controls and actual sample data. The efficiencies gained from this automated approach are described.

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Year:  2007        PMID: 17892272     DOI: 10.1021/ac070618s

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  3 in total

1.  A robotic protocol for high-throughput processing of samples for selected reaction monitoring assays.

Authors:  Min Zhu; Pingbo Zhang; Minghui Geng-Spyropoulos; Ruin Moaddel; Richard D Semba; Luigi Ferrucci
Journal:  Proteomics       Date:  2016-12-23       Impact factor: 3.984

2.  Semi-automation of process analytics reduces operator effect.

Authors:  A Christler; E Felföldi; M Mosor; D Sauer; N Walch; A Dürauer; A Jungbauer
Journal:  Bioprocess Biosyst Eng       Date:  2019-12-07       Impact factor: 3.210

3.  Widely targeted metabolomics based on large-scale MS/MS data for elucidating metabolite accumulation patterns in plants.

Authors:  Yuji Sawada; Kenji Akiyama; Akane Sakata; Ayuko Kuwahara; Hitomi Otsuki; Tetsuya Sakurai; Kazuki Saito; Masami Yokota Hirai
Journal:  Plant Cell Physiol       Date:  2008-12-02       Impact factor: 4.927

  3 in total

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