The using of the Index of Ideality of Correlation (IIC) to improve predictive potential of models of water solubility for pesticides.

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Title: The using of the Index of Ideality of Correlation (IIC) to improve predictive potential of models of water solubility for pesticides.
Authors: Toropova AP; Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy. alla.toropova@marionegri.it., Toropov AA; Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy., Carnesecchi E; Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy.; Institute for Risk Assessment Sciences, Utrecht University, PO Box 80177, 3508 TD, Utrecht, The Netherlands., Benfenati E; Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy., Dorne JL; Scientific Committee and Emerging Risks Unit, European Food Safety Authority, Via Carlo Magno 1A, 43126, Parma, Italy.
Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2020 Apr; Vol. 27 (12), pp. 13339-13347. Date of Electronic Publication: 2020 Feb 04.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE
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  Data: The using of the Index of Ideality of Correlation (IIC) to improve predictive potential of models of water solubility for pesticides.
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  Data: <searchLink fieldCode="AU" term="%22Toropova+AP%22">Toropova AP</searchLink>; Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy. alla.toropova@marionegri.it.<br /><searchLink fieldCode="AU" term="%22Toropov+AA%22">Toropov AA</searchLink>; Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Carnesecchi+E%22">Carnesecchi E</searchLink>; Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy.; Institute for Risk Assessment Sciences, Utrecht University, PO Box 80177, 3508 TD, Utrecht, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Benfenati+E%22">Benfenati E</searchLink>; Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Science, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Dorne+JL%22">Dorne JL</searchLink>; Scientific Committee and Emerging Risks Unit, European Food Safety Authority, Via Carlo Magno 1A, 43126, Parma, Italy.
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  Data: <searchLink fieldCode="JN" term="%229441769%22">Environmental science and pollution research international</searchLink> [Environ Sci Pollut Res Int] 2020 Apr; Vol. 27 (12), pp. 13339-13347. <i>Date of Electronic Publication: </i>2020 Feb 04.
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        Value: 10.1007/s11356-020-07820-6
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              Text: 2020 Apr
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