Optimisation of the separation of herbicides by linear gradient high performance liquid chromatography utilising artificial neural networks.
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Contamination of rice field water with sulfonylurea and phenoxy herbicides in the Muda Irrigation Scheme, Kedah, Malaysia.Prediction of extraction efficiency in supported liquid membrane with a stagnant acceptor phase by means of artificial neural network.Artificial neural network prediction of multilinear gradient retention in reversed-phase HPLC: comprehensive QSRR-based models combining categorical or structural solute descriptors and gradient profile parameters.Statistical assessment of solvent mixture models used for separation of biological active compounds.Chemometrical tools in the study of the retention behavior of azole antifungals.Development of a UHPLC method for the detection of organic gunshot residues using artificial neural networksImproving the Detectability of Sequential Injection Chromatography (SIC): Determination of Triazines by Exploiting Liquid Core Waveguide (LCW) Detection
P2860
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P2860
Optimisation of the separation of herbicides by linear gradient high performance liquid chromatography utilising artificial neural networks.
description
2006 nî lūn-bûn
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2006年の論文
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年学术文章
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2006年學術文章
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2006年學術文章
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2006年學術文章
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name
Optimisation of the separation ...... ng artificial neural networks.
@en
Optimisation of the separation ...... ng artificial neural networks.
@nl
type
label
Optimisation of the separation ...... ng artificial neural networks.
@en
Optimisation of the separation ...... ng artificial neural networks.
@nl
prefLabel
Optimisation of the separation ...... ng artificial neural networks.
@en
Optimisation of the separation ...... ng artificial neural networks.
@nl
P2093
P1433
P1476
Optimisation of the separation ...... ng artificial neural networks.
@en
P2093
Anh T K Tran
Fleur Pablo
Ross V Hyne
P304
P356
10.1016/J.TALANTA.2006.06.031
P407
P577
2006-08-14T00:00:00Z