Literature DB >> 20006056

Developing automated analytical methods for scientific environments using LabVIEW.

Christoph Wagner1, Sergio Armenta, Bernhard Lendl.   

Abstract

The development of new analytical techniques often requires the building of specially designed devices, each requiring its own dedicated control software. Especially in the research and development phase, LabVIEW has proven to be one highly useful tool for developing this software. Yet, it is still common practice to develop individual solutions for different instruments. In contrast to this, we present here a single LabVIEW-based program that can be directly applied to various analytical tasks without having to change the program code. Driven by a set of simple script commands, it can control a whole range of instruments, from valves and pumps to full-scale spectrometers. Fluid sample (pre-)treatment and separation procedures can thus be flexibly coupled to a wide range of analytical detection methods. Here, the capabilities of the program have been demonstrated by using it for the control of both a sequential injection analysis - capillary electrophoresis (SIA-CE) system with UV detection, and an analytical setup for studying the inhibition of enzymatic reactions using a SIA system with FTIR detection.

Year:  2010        PMID: 20006056     DOI: 10.1016/j.talanta.2009.08.018

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  3 in total

1.  A LabVIEW-Based Virtual Instrument System for Laser-Induced Fluorescence Spectroscopy.

Authors:  Qijun Wu; Lufei Wang; Lily Zu
Journal:  J Autom Methods Manag Chem       Date:  2011-10-15

2.  A LabVIEW®-based software for the control of the AUTORAD platform: a fully automated multisequential flow injection analysis Lab-on-Valve (MSFIA-LOV) system for radiochemical analysis.

Authors:  Donato Barbesi; Víctor Vicente Vilas; Sylvain Millet; Miguel Sandow; Jean-Yves Colle; Laura Aldave de Las Heras
Journal:  J Radioanal Nucl Chem       Date:  2017-05-22       Impact factor: 1.371

3.  A Virtual Instrument System for Determining Sugar Degree of Honey.

Authors:  Qijun Wu; Xun Gong
Journal:  J Anal Methods Chem       Date:  2015-10-04       Impact factor: 2.193

  3 in total

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