Modelling and prediction of retention in high-performance liquid chromatography by using neural networks |
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Authors: | Y. L. Xie J. J. Baeza-Baeza J. R. Torres-Lapsió M. C. García-Alvarez-Coque G. Ramis-Ramos |
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Affiliation: | (1) Department of Environmental Chemistry, CID-CSIC, c/Jordi Girona, 18-26. 03034 Barcelona, Spain |
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Abstract: | Summary Two analytical methods have been developed for the determination in water of 18 priority phenolics listed in US EPA method 604 and on EEC list 76/464. A solidphase extraction system using eight different sorbents packed in a precolumn was coupled on-line with a liquid chromatograph with UV detection. The ensuing method uses 50–100 mL of ground water; its performance was compared with that of an off-line method using Empore extraction disks and 1 L water samples. Phenol recoveries varied from <20 to 100% for concentrations in the range 0.1–10 g/L at an acid pH. The presence of the phenols in water was confirmed by using thermospray LC-mass spectrometry in the negative ion mode. The stability of the phenols in water was studied at a 10 g/l level in ground and estuarine water at acid pH (2.5–3) and at 4°C for 1 month. The system was validated by various interlaboratory exercises with samples containing 2,4,6-trichlorophenol and pentachlorophenol at concentrations from 0.1 to 0.5 g/L. |
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Keywords: | Solid-phase extraction Liquid chromatography Phenols Water |
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