1993
DOI: 10.1016/0021-9673(93)80090-u
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Matrix solid-phase dispersion extraction and the analysis of drugs and environmental pollutants in aquatic species

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Cited by 30 publications
(8 citation statements)
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“…On the other hand, such classical methods of analyte extraction using sample homogenisation and solid-liquid or liquid-liquid partitioning are time-consuming, labour-intensive, expensive in terms of materials and solvent volumes, and often cannot be completed before the materials in question have been placed on the market. Furthermore, evaporation of large solvent volumes is a source of analyte loss and atmospheric and environmental pollutions [60,79].…”
Section: Extraction Methodsmentioning
confidence: 99%
“…On the other hand, such classical methods of analyte extraction using sample homogenisation and solid-liquid or liquid-liquid partitioning are time-consuming, labour-intensive, expensive in terms of materials and solvent volumes, and often cannot be completed before the materials in question have been placed on the market. Furthermore, evaporation of large solvent volumes is a source of analyte loss and atmospheric and environmental pollutions [60,79].…”
Section: Extraction Methodsmentioning
confidence: 99%
“…Elution of the MSPD column with a solvent or solvent sequence can provide a high resolution fractionation of target analytes that can be further purified by simultaneous use of co-columns of Florisil. The final eluate can, in most cases, be directly analyzed or further concentrated or manipulated to meet the demands of the individual analysis [78]. This approach has several possible advantages over the classical method for the disruption, lysis, and fractionation of biological matrices.…”
Section: Existing Spe Methodologies For Pesticide Msiduesmentioning
confidence: 99%
“…105 In MSPD, the sample is mixed with a solid-phase material which separates matrix interferents from the pesticide analytes during extraction. Thus, cleanup is performed at the same time as the extraction.…”
Section: Matrix Solid-phase Dispersionmentioning
confidence: 99%