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Development of Analytical Methods

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Digital Microfluidics for Automated Proteomic Processing
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Digital Microfluidics for Automated Proteomic Processing

Published on: November 6, 2009

Developing automated analytical methods for scientific environments using LabVIEW.

Christoph Wagner1, Sergio Armenta, Bernhard Lendl

  • 1Institute of Chemical Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9/164 AC, A-1060 Vienna, Austria.

Talanta
|December 17, 2009
PubMed
Summary
This summary is machine-generated.

A new LabVIEW program offers a unified software solution for controlling diverse analytical instruments. This adaptable tool streamlines method development by using script commands for tasks like sample preparation and detection, enhancing research efficiency.

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LabVIEW-operated Novel Nanoliter Osmometer for Ice Binding Protein Investigations
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Digital Microfluidics for Automated Proteomic Processing
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LabVIEW-operated Novel Nanoliter Osmometer for Ice Binding Protein Investigations
09:32

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Published on: February 4, 2013

Area of Science:

  • Analytical Chemistry
  • Software Engineering for Scientific Instrumentation

Background:

  • Developing specialized control software for each new analytical device is time-consuming.
  • LabVIEW is a common tool for instrument control software development in research.
  • Current practices often lead to fragmented, instrument-specific software solutions.

Purpose of the Study:

  • To present a single, versatile LabVIEW program for controlling various analytical instruments without code modification.
  • To demonstrate the program's flexibility in integrating sample handling with different detection methods.

Main Methods:

  • Development of a unified LabVIEW program controlled by script commands.
  • Application of the program to control a sequential injection analysis-capillary electrophoresis (SIA-CE) system with UV detection.
  • Utilizing the program to control a sequential injection analysis (SIA) system with FTIR detection for enzyme inhibition studies.

Main Results:

  • The LabVIEW program successfully controlled diverse analytical instruments, including spectrometers, valves, and pumps.
  • The software enabled flexible coupling of fluid sample pre-treatment and separation with various analytical detection methods.
  • Demonstrated applicability in both SIA-CE and SIA-FTIR setups for distinct analytical tasks.

Conclusions:

  • A single, script-driven LabVIEW program can effectively control a wide range of analytical instruments and procedures.
  • This approach reduces software development time and increases flexibility in analytical method development.
  • The presented software offers a powerful, unified solution for research and development in analytical sciences.