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- W1915655222 abstract "With the purpose of enabling the analysis by digital methods of particles of multisource pharmaceutical raw materials, this study analyzed different crystal habits of ampicillin particles, by grouping the external shapes obtained from 3 different solvents (acetonitrile, ethanol, and methanol), thereby reducing the number of descriptors necessary to adequately represent each shape. For this purpose, a selection of morphological descriptors was used including: circularity, roughness, roundness, compactness, aspect ratio, effective diameter, solidity, convexity, fractal dimension, and 10 Complex Fourier descriptors. These measures cover highly diverse morphological properties and define the crystal habit of a particle. Principal Component Analysis (PCA) and the Cluster Analysis (CA) were the grouping techniques used, which demonstrated the possibility of using between 2 and 4 descriptors instead of the 18 proposed initially." @default.
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- W1915655222 date "2010-12-01" @default.
- W1915655222 modified "2023-10-06" @default.
- W1915655222 title "Categorization of the main descriptors of different ampicillin crystal habits" @default.
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- W1915655222 doi "https://doi.org/10.1590/s1984-82502010000400009" @default.
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