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A new efficient mixture screening design for optimization of media
Author(s) -
Rispoli Fred,
Shah Vishal
Publication year - 2009
Publication title -
biotechnology progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 129
eISSN - 1520-6033
pISSN - 8756-7938
DOI - 10.1002/btpr.225
Subject(s) - fractional factorial design , centroid , plackett–burman design , factorial experiment , computer science , design of experiments , simplex , mathematics , statistics , artificial intelligence , machine learning , combinatorics , response surface methodology
Screening ingredients for the optimization of media is an important first step to reduce the many potential ingredients down to the vital few components. In this study, we propose a new method of screening for mixture experiments called the centroid screening design. Comparison of the proposed design with Plackett‐Burman, fractional factorial, simplex lattice design, and modified mixture design shows that the centroid screening design is the most efficient of all the designs in terms of the small number of experimental runs needed and for detecting high‐order interaction among ingredients. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2009