Please use this identifier to cite or link to this item: https://doi.org/10.1039/AN9941901659
Title: Orthogonal array design as a chemometric method for the optimization of analytical procedures. Part 1. Two-level design and its application in microwave dissolution of biological samples
Authors: Lan, W.G.
Wong, M.K. 
Chen, N.
Sin, Y.M. 
Issue Date: 1994
Citation: Lan, W.G., Wong, M.K., Chen, N., Sin, Y.M. (1994). Orthogonal array design as a chemometric method for the optimization of analytical procedures. Part 1. Two-level design and its application in microwave dissolution of biological samples. The Analyst 119 (8) : 1659-1667. ScholarBank@NUS Repository. https://doi.org/10.1039/AN9941901659
Abstract: The theory and methodology of two-level orthogonal array design for the optimization of analytical procedures were developed. In the theoretical part, the matrix of the two-level orthogonal array design is described while orthogonality is proved by a linear regression model. Then, the assignment of experiments in a two-level orthogonal array design and the application of the triangular table associated with the corresponding orthogonal array matrix are illustrated, followed by the data analysis strategy, in which significance of the different factor effects is quantitatively evaluated by the analysis of variance (ANOVA) technique and the percentage contribution method. Finally, a linear regression equation representing the response surface is established to estimate the factors that have a significant influence. In the application section, microwave dissolution for the determination of selenium in biological samples by hydride generation atomic absorption spectrometry as a practical example is employed to demonstrate the application of the proposed two-level orthogonal array design in analytical chemistry.
Source Title: The Analyst
URI: http://scholarbank.nus.edu.sg/handle/10635/76708
ISSN: 00032654
DOI: 10.1039/AN9941901659
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.