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The relationship between the response and predictor variables can be established by plotting the data as in Figure 1B.
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A calibration curve of the absorbance was established by plotting the measured absorbance versus the various known concentrations of IgG.
The calibration curve was established by plotting the peak area against the concentrations of the standards with linear regression analysis.
Under the above-described experimental conditions, linear relationships were established by plotting peak areas against TS and JM concentrations.
Different validation characteristics were investigated as follows: A linear relationship was established by plotting the peak area ratio against the drug concentration.
Under the above described experimental conditions, a linear relationship was established by plotting the peak area ratio [drug/I.S.] against the drug concentration in μg/mL.
Under the above described experimental conditions, a linear relationship was established by plotting the peak area ratio against the drug concentration.
The peak areas corresponding to each antioxidants were calculated automatically by the HPLC software (LabSolutions), and a linear relationship was established by plotting the average peak areas against concentration.
A linear relationship was established by plotting either the peak area or the derivative amplitude against the drug concentration in µg/mL for the HPLC and the spectrophotometric method respectively.
Under the above described experimental conditions, a linear relationship was established by plotting the peak area against the drug concentration in μg/mL due to overlapping between plasma peak and FUR (IS) peak.
Under the above described experimental conditions, a linear relationships was established by plotting peak area ratio for MEB to 0.1 μg/mL SUL as internal standard against MEB concentrations and on the other hand, plot peak area ratio for SUL to 0.1 μg/mL MEB as internal standard against SUL concentrations,.
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