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The use of chemical potentials as indices of toxicity

Ferguson, John·1939·Proceedings of the Royal Society of London. Series B - Biological Sciences

Abstract

A number of investigation have been published in which attempts are made to correlate the chemical or physical properties of substances with the intensity of their toxic action. Among these may be instanced the work of Moore (1917) on the toxicity of fumigants towards insects, the extensive work of Tattersfield and his collaborators on contact insecticides and fumigants (Tattersfield and others 1920, 1925, 1926, 1927), the bacteriological investigations of Tilley ans Schaffer (1926, 1928) and others (Coulthard, Marshall and Pyman 1930; Dohme, Cox and Millar 1926; Klatman, Gatyas and Shternov 1931), work on fungicides (Morris and Stirk 1932; Stiles and Rees 1935). In each of the investigations just quoted a more or less wide range of chemical compounds was examined. The experiments consisted in the determination of the molar concentrations of the compounds which produced equi-toxic on a selected organism. The toxicities of the compounds studied were then usually assumed to be inversely proportional to the values of these equi-toxic concentrations.

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Metadata

Authors
Ferguson, J.
Venue
Proceedings of the Royal Society of London. Series B - Biological Sciences
Published
1939-07-04
Volume
127
Issue
848
Pages
387-404
ISSN
  • 0080-4649 (ISSN-L)
  • 2053-9193
OpenAlex
W2060143947
Cited by
558
References
0
FWCI
1.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The use of chemical potentials as indices of toxicity. https://app.cochat.ai/papers/10.1098/rspb.1939.0030
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Ferguson, J. (1939). The use of chemical potentials as indices of toxicity. Proceedings of the Royal Society of London. Series B - Biological Sciences. https://doi.org/10.1098/rspb.1939.0030

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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