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Quantitative Determination of Active Ingredients in a Pharmaceutical Drug Formulation

Quantitative Determination of Active ingredients in a Pharmaceutical Drug Formulation [Pg.379]

From the total sample set (48 samples), 45 samples were used as calibration samples. The three samples not included in the calibration set were selected on the basis of a representative variation of their active ingredient concentrations and were finally used as unknown test samples to predict the content of their active ingredients. Partial least squares (PLS) models for each active ingredient were developed with the Unscrambler Software (version 9.6) (CAMO Software AS, Oslo, Norway) from the MSC-pretreated median spectra of all pixels of each of the 45 calibration sample images. Based on these calibration models, the predictions of the active ingredient content for each pixel of the imaging data of the [Pg.379]

The quantitative determination of the active ingredients is only part of the quality control requirements for a pharmaceutical drug formulation. At least as important is the homogeneous distribution of the active ingredients in the formulation. In [Pg.381]

Reference Prediction Reference Prediction Reference Prediction [Pg.385]




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A) determinations

Activation of Drugs

Activators determination

Active drug

Active pharmaceutical

Active pharmaceutical ingredients

Activity determination

Activity of drugs

Activity pharmaceutics

Determination of active pharmaceutical ingredients

Determination of as

Drugs activity

Drugs, determination

Ingredients, active

Pharmaceutical activity

Pharmaceutical drug formulation

Pharmaceutical drug formulation ingredient

Pharmaceutical drugs

Pharmaceutical formulator

Pharmaceutical ingredients

Pharmaceuticals determination

Pharmaceuticals formulations

Quantitative determination

Quantitative formulation

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