document: Experimental design methodology and data analysis technique applied to optimise an organic synthesis The study was aimed at maximising the yield of a Michaelis-Becker dibromoalkane monophosphorylation reaction . In order to save time and money , we first applied a full factorial experimental design to search for the optimum conditions while performing a small number of experiments . We then used the principal component analysis -LRB- PCA -RRB- technique to evidence two uncontrolled factors . Lastly , a special experimental design that took into account all the influential factors allowed us to determine the maximum-yield experimental conditions . This study also evidenced the complementary nature of experimental design methodology and data analysis techniques
doc_bio_tags: O O O O B I I O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I I O O O O B I O O O O O O O O O O O O B I I O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: full factorial experimental design optimum conditions data analysis technique organic synthesis principal component analysis uncontrolled factors
abstractive_keyphrases: michaelis-becker dibromoalkane monophosphorylation reaction maximum-yield experimental conditions