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A simple, sensitive graphical method of treating thermogravimetric analysis data

Broido, A.·1969·Journal of Polymer Science Part A-2: Polymer Physics

Abstract

Thermogravimetric Analysis (TGA) is finding increasing utility in investigations of the pyrolysis and combustion behavior of materials. Although a theoretical treatment of the TGA behavior of an idealized reaction is relatively straight‐forward, major complications can be introduced when the reactions are complex, e.g., in the pyrolysis of cellulose, and when experimental imperfections arise. Consequently, a fairly large number of analytical methods have been proposed for obtaining kinetic parameters from TGA curves. Among the proposed methods are several graphical procedures, mostly involving relatively inaccurate tehniques, such as obtaining slopes on a rapidly changing curve. Included among the proposed procedures is one which permits a linear plot of TGA data. The sensitivity with which such a plot can be used to identify and correct for a variety of experimental complications seems to have escaped even the proponents of the techniques. This paper provides an illustration of the use of this graphical procedure in a hypothetical first‐order pyrolysis typical of those occurring in the TGA behavior of cellulose.

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Metadata

Authors
Broido, A.
Venue
Journal of Polymer Science Part A-2: Polymer Physics
Publisher
Wiley
Published
1969-10
Volume
7
Issue
10
Pages
1761-1773
ISSN
  • 0449-2978 (ISSN-L)
  • 1542-9377
OpenAlex
W2061158367
Cited by
900
References
0
FWCI
4.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A simple, sensitive graphical method of treating thermogravimetric analysis data. https://app.cochat.ai/papers/10.1002/pol.1969.160071012
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Broido, A. (1969). A simple, sensitive graphical method of treating thermogravimetric analysis data. Journal of Polymer Science Part A-2: Polymer Physics. https://doi.org/10.1002/pol.1969.160071012

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.