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Methanol was the most suitable extraction solvent for the studied phenolic compounds.
The most suitable extraction conditions comprise the use of 2 g of florisil as dispersive phase and 5 mL of methanol as elution solvent.
The selection of the most suitable extraction conditions was made using statistical tools such as ANOVA, as well as a factorial multifactor experimental design.
In addition, we review the strategies for designing extraction, selection of most suitable extraction methods, and trends of extraction methods for botanicals.
After the determination of the most suitable extraction solvent and its volume, parameters such as extraction time, centrifugation time and ionic strength of the sample were optimized by using a 23 factorial experimental design.
XCMS was used for feature detection and preprocessing; different normalization and scaling approaches were tested; and principal component analysis (PCA) was used together with basic statistical tests to ascertain common metabolic patterns and determine the most suitable extraction method.
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Prior to DNA extraction initial experiments were conducted to determine the most suitable DNA extraction method.
Along with the classification performance, this computational measurement would enable us to decide the most suitable feature extraction operator for the proposed system.
In order to select the most suitable method extraction; the analytical methods were compared on the basis of the recoveries sufficient for the screening purposes, and only for the antibiotics having lower MRL in milk than in meat.
Approximately 200 mg of sample pellet was recovered for DNA extraction in duplicate with a FastDNA® SPIN Kit for Soil (Qiagen, CA, USA), which was found to be the most suitable DNA extraction method for the samples in this study, as being compared with other commercial reagents.
The most suitable condition for extraction of tea carbohydrate was found to be a single step extraction at extraction temperature 90 °C, extraction time 30 min, and solvent solid ratio 5 1.
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