Data for: "Engineering of Acetaminophen Particle Attributes Using a Wet Milling Crystallisation Platform"

Dataset

Description

This dataset is for the article titled 'Engineering of Acetaminophen Particle Attributes Using a Wet Milling Crystallisation Platform'. Mettler Toledo focused beam reflectance measurement (G400) and particle vision and measurement (V819) sensors were used for capturing inline counts, chord length distributions and images. Chord lengths were further inverted for an estimation of inline particle size distributions through a CLD-inversion app. A Malvern Morphologi G3 instrument was also used which provided various particle size and shape statistics and distributions from particles undergone a wet milling process. In addition, an inverse gas chromatography measured various surface properties such as surface areas and surface energy distributions. This is all shown in the dataset.

The data collected was for acetaminophen. Various wet milling configurations were used which produced particles exhibiting different attributes and features.
Date made available29 Nov 2018
PublisherUniversity of Strathclyde
Date of data production1 Jan 2016 - 1 Jul 2018

Cite this

Ahmed, B. (Creator), Brown, C. (Creator), McGlone, T. (Contributor), Bowering, D. (Contributor), Sefcik, J. (Contributor), Florence, A. (Owner). (29 Nov 2018). Data for: "Engineering of Acetaminophen Particle Attributes Using a Wet Milling Crystallisation Platform". University of Strathclyde. Dataset(.zip), Read_me(.pdf). 10.15129/85491e74-2d64-4c01-8507-5de1afbfce70