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Key parameters influencing growth and PHB content in Synechocystis sp. PCC 6714 were identified using a multivariate design of experiments.
The extraction process has been optimised using a multivariate design involving the main variables influencing the performance of the prototype (namely, irradiation power P, irradiation time T and number of cycles C).
Gene expression levels were compared between patients and controls using a multivariate design under a linear model (LIMMA).
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The effect of three batch wet granulation process parameters was evaluated using a multivariate experimental design, with a novel constrained design space.
The system was optimized with respect to signal/noise ratio using a multivariate experimental design.
Sensor composition and measurement conditions were optimized using a multivariate experiment design.
The procedure is fully quantitative and has been optimised for sensitivity and robustness using a multivariate experimental design (multi-level 'Central Composite' response surface) model.
An optimization study was done using a multivariate experimental design including the following variables: pH, H2O2 flow rate, UV-lamp exposure time, average temperature, average solar power and initial concentrations of Fe(II) and oxalic acid.
An optimization study was performed using a multivariate experimental design including the following variables: pH, temperature, solar power, air flow and initial concentrations of H2O2, Fe(II) and oxalic acid.
The efficacy of this program was investigated through a randomized controlled trial using a multivariate nested cohort design.
Separation parameters such as background buffer composition, voltage, temperature, and nebulizer pressure were optimized using a multivariate central composite design (CCD).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com