Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022267190> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2022267190 endingPage "237" @default.
- W2022267190 startingPage "231" @default.
- W2022267190 abstract "True density is a fundamental and important property of active pharmaceutical ingredients (APIs). Using prediction methods to estimate the API true density can be very beneficial in pharmaceutical research and development, especially when experimental measurements cannot be made due to lack of material or sample handling restrictions. In this paper, two empirical prediction methods developed by Girolami and Immirzi and Perini were used to estimate the true density of APIs, and the estimation results were compared with experimentally measured values by helium pycnometry. The Girolami method is simple and can be used for both liquids and solids. For the tested APIs, the Girolami method had a maximum error of −12.7% and an average percent error of −3.0% with a 95% CI of (−3.8, −2.3%). The Immirzi and Perini method is more involved and is mainly used for solid crystals. In general, it gives better predictions than the Girolami method. For the tested APIs, the Immirzi and Perini method had a maximum error of 9.6% and an average percent error of 0.9% with a 95% CI of (0.3, 1.6%)." @default.
- W2022267190 created "2016-06-24" @default.
- W2022267190 creator A5009070444 @default.
- W2022267190 creator A5021311448 @default.
- W2022267190 creator A5033405422 @default.
- W2022267190 creator A5081823719 @default.
- W2022267190 date "2008-05-01" @default.
- W2022267190 modified "2023-10-17" @default.
- W2022267190 title "Use of prediction methods to estimate true density of active pharmaceutical ingredients" @default.
- W2022267190 cites W1512902225 @default.
- W2022267190 cites W1581839059 @default.
- W2022267190 cites W1591650523 @default.
- W2022267190 cites W1600964453 @default.
- W2022267190 cites W1607286065 @default.
- W2022267190 cites W1976975901 @default.
- W2022267190 cites W1983819655 @default.
- W2022267190 cites W1999788049 @default.
- W2022267190 cites W2012431713 @default.
- W2022267190 cites W2018232966 @default.
- W2022267190 cites W2028547363 @default.
- W2022267190 cites W2035124309 @default.
- W2022267190 cites W2036968062 @default.
- W2022267190 cites W2041729183 @default.
- W2022267190 cites W2087696707 @default.
- W2022267190 cites W2107620190 @default.
- W2022267190 cites W2129252984 @default.
- W2022267190 cites W2135732933 @default.
- W2022267190 cites W2151741150 @default.
- W2022267190 cites W2503976463 @default.
- W2022267190 cites W3194184465 @default.
- W2022267190 cites W2477058456 @default.
- W2022267190 cites W2520449023 @default.
- W2022267190 cites W2524690552 @default.
- W2022267190 doi "https://doi.org/10.1016/j.ijpharm.2007.12.012" @default.
- W2022267190 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18242023" @default.
- W2022267190 hasPublicationYear "2008" @default.
- W2022267190 type Work @default.
- W2022267190 sameAs 2022267190 @default.
- W2022267190 citedByCount "34" @default.
- W2022267190 countsByYear W20222671902012 @default.
- W2022267190 countsByYear W20222671902014 @default.
- W2022267190 countsByYear W20222671902015 @default.
- W2022267190 countsByYear W20222671902016 @default.
- W2022267190 countsByYear W20222671902017 @default.
- W2022267190 countsByYear W20222671902018 @default.
- W2022267190 countsByYear W20222671902019 @default.
- W2022267190 countsByYear W20222671902020 @default.
- W2022267190 countsByYear W20222671902021 @default.
- W2022267190 countsByYear W20222671902022 @default.
- W2022267190 countsByYear W20222671902023 @default.
- W2022267190 crossrefType "journal-article" @default.
- W2022267190 hasAuthorship W2022267190A5009070444 @default.
- W2022267190 hasAuthorship W2022267190A5021311448 @default.
- W2022267190 hasAuthorship W2022267190A5033405422 @default.
- W2022267190 hasAuthorship W2022267190A5081823719 @default.
- W2022267190 hasConcept C105795698 @default.
- W2022267190 hasConcept C11413529 @default.
- W2022267190 hasConcept C28826006 @default.
- W2022267190 hasConcept C33923547 @default.
- W2022267190 hasConcept C41008148 @default.
- W2022267190 hasConcept C45904493 @default.
- W2022267190 hasConcept C60644358 @default.
- W2022267190 hasConcept C86803240 @default.
- W2022267190 hasConceptScore W2022267190C105795698 @default.
- W2022267190 hasConceptScore W2022267190C11413529 @default.
- W2022267190 hasConceptScore W2022267190C28826006 @default.
- W2022267190 hasConceptScore W2022267190C33923547 @default.
- W2022267190 hasConceptScore W2022267190C41008148 @default.
- W2022267190 hasConceptScore W2022267190C45904493 @default.
- W2022267190 hasConceptScore W2022267190C60644358 @default.
- W2022267190 hasConceptScore W2022267190C86803240 @default.
- W2022267190 hasIssue "1-2" @default.
- W2022267190 hasLocation W20222671901 @default.
- W2022267190 hasLocation W20222671902 @default.
- W2022267190 hasOpenAccess W2022267190 @default.
- W2022267190 hasPrimaryLocation W20222671901 @default.
- W2022267190 hasRelatedWork W1587224694 @default.
- W2022267190 hasRelatedWork W1979597421 @default.
- W2022267190 hasRelatedWork W2007980826 @default.
- W2022267190 hasRelatedWork W2061531152 @default.
- W2022267190 hasRelatedWork W2073086433 @default.
- W2022267190 hasRelatedWork W2077600819 @default.
- W2022267190 hasRelatedWork W3002753104 @default.
- W2022267190 hasRelatedWork W4225152035 @default.
- W2022267190 hasRelatedWork W4231422320 @default.
- W2022267190 hasRelatedWork W4245490552 @default.
- W2022267190 hasVolume "355" @default.
- W2022267190 isParatext "false" @default.
- W2022267190 isRetracted "false" @default.
- W2022267190 magId "2022267190" @default.
- W2022267190 workType "article" @default.