A pitfall in analyzing powder compactibility data using nonlinear regression

Frederick Osei-Yeboah; Changquan Calvin Sun

doi:10.1002/jps.23456

A pitfall in analyzing powder compactibility data using nonlinear regression

Frederick Osei-Yeboah
, Changquan Calvin Sun

Pharmaceutics

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Original language	English (US)
Pages (from-to)	1135-1136
Number of pages	2
Journal	Journal of Pharmaceutical Sciences
Volume	102
Issue number	3
DOIs	https://doi.org/10.1002/jps.23456
State	Published - Mar 2013

Bibliographical note

Funding Information:
We thank the Dane O. Kildsig Center for Pharmaceutical Processing Research for financial support.

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

Compaction
Compression
Crushing strength
Hardness
Materials science
Mechanical properties
Powder technology
Tablet

Publisher link

10.1002/jps.23456

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title = "A pitfall in analyzing powder compactibility data using nonlinear regression",

keywords = "Compaction, Compression, Crushing strength, Hardness, Materials science, Mechanical properties, Powder technology, Tablet",

author = "Frederick Osei-Yeboah and Sun, \{Changquan Calvin\}",

year = "2013",

month = mar,

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volume = "102",

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AU - Sun, Changquan Calvin

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KW - Compaction

KW - Compression

KW - Crushing strength

KW - Hardness

KW - Materials science

KW - Mechanical properties

KW - Powder technology

KW - Tablet

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SP - 1135

EP - 1136

JO - Journal of Pharmaceutical Sciences

JF - Journal of Pharmaceutical Sciences

IS - 3

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A pitfall in analyzing powder compactibility data using nonlinear regression

Bibliographical note

Keywords

Publisher link

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