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ACI Avances en Ciencias e Ingenierías

SECTION A: EXACT SCIENCES

Vol. 3 No. 2 (2011): Número especial por el Año Internacional de la Química

Optimization of a UV-Visible Spectrophotometer Response Using a Fractional Factorial Design

DOI
https://doi.org/10.18272/aci.v3i2.62
Submitted
July 29, 2015

Abstract

Three operation parameters of a UV-visible spectrophotometer (scan speed, monochromator slit width, and sampling interval) were optimized utilizing a fractional factorial design. Four absorption spectra of holmium oxide were recorded in a portion of the visible region (560-610 nanometers) using different combinations of "high" and "low" levels for the parameters already mentioned. The combinations were provided by a 23-1 design. From the results it is deduced that the highest quality spectrum is furnished by the following combination: high scan speed, narrow monochromator slit width (0.2 nm.) and small sampling interval (one data point per each 0.1 nanometer). This work illustrates the usefulness of fractional factorial design as an optimization tool in the analytical chemistry laboratory.

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References

  1. Skoog, D., H. J. and Crouch, S. 2006. "™"™Principles of Instrumental Analysis". Thomson Brooks-Cole: Belmont, USA.
  2. Bouzidi, N., and Gozzi, C. 2008. "™Experimental Design and Optimization: Application of a Grignard Reaction". J. Chem. Ed. 85, 1544-1548.
  3. Bezerra, M., 2008." Response Surface Methodology (RSM) as a Tool for Optimization in Analytical Chemistry". Talanta. 76, 965-977.
  4. Montegomery, D., 2005. "™"™Design and Analysis of Experiments".
  5. Miller, J., and Miller, J. C. 2005. "™Statistics and Chemometrics for Analytical Chemistry". Pearson Prentice Hall: New York, USA.
  6. Gunst, R., and Mason, R. 2009. "™Fractional Factorial Design". Wiley Interdisciplinary Reviews: Computational Statistics. 1, 234-244.
  7. Allen, D., 2007." Holmium Oxide Glass Wavelength Standards". Journal of Research of the National Institute of Standards and Technology. 112, 303-306.
  8. Wu, J., and Hamada, M. 2000. "Experiments: Planning, Analysis and Parameter Design Optimization".