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Nezhadali, Azizollah, Shadmehri, Raham, Rajabzadeh, Fatemeh, Sadeghzadeh, Samira (2020) Selective determination of closantel by artificial neural network-genetic algorithm optimized molecularly imprinted polypyrrole using UV–visible spectrophotometry. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 243. 118779 doi:10.1016/j.saa.2020.118779

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Reference TypeJournal (article/letter/editorial)
TitleSelective determination of closantel by artificial neural network-genetic algorithm optimized molecularly imprinted polypyrrole using UV–visible spectrophotometry
JournalSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
AuthorsNezhadali, AzizollahAuthor
Shadmehri, RahamAuthor
Rajabzadeh, FatemehAuthor
Sadeghzadeh, SamiraAuthor
Year2020 (December)Volume243
PublisherElsevier BV
DOIdoi:10.1016/j.saa.2020.118779Search in ResearchGate
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Mindat Ref. ID16402529Long-form Identifiermindat:1:5:16402529:5
GUID0
Full ReferenceNezhadali, Azizollah, Shadmehri, Raham, Rajabzadeh, Fatemeh, Sadeghzadeh, Samira (2020) Selective determination of closantel by artificial neural network-genetic algorithm optimized molecularly imprinted polypyrrole using UV–visible spectrophotometry. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 243. 118779 doi:10.1016/j.saa.2020.118779
Plain TextNezhadali, Azizollah, Shadmehri, Raham, Rajabzadeh, Fatemeh, Sadeghzadeh, Samira (2020) Selective determination of closantel by artificial neural network-genetic algorithm optimized molecularly imprinted polypyrrole using UV–visible spectrophotometry. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 243. 118779 doi:10.1016/j.saa.2020.118779
In(2020) Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Vol. 243. Elsevier BV

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