1994
DOI: 10.1021/ac00081a036
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Direct Drug Determination by Selective Sample Enrichment on an Imprinted Polymer

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Cited by 487 publications
(227 citation statements)
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“…Nowadays, MIPs have been largely applied to the extraction or to clean up of target analytes from various complex matrices such environmental, biological, food and pharmaceuticals [4][5][6]. Concerning the pharmaceutical field, many examples deal with the extraction of a drug by MIP from tablets [7], plasma [8][9][10], serum [11], or from urine [12][13][14][15]. MIPs can be synthesized by three different imprinting approaches: the non covalent, the covalent and the semi-covalent methods.…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, MIPs have been largely applied to the extraction or to clean up of target analytes from various complex matrices such environmental, biological, food and pharmaceuticals [4][5][6]. Concerning the pharmaceutical field, many examples deal with the extraction of a drug by MIP from tablets [7], plasma [8][9][10], serum [11], or from urine [12][13][14][15]. MIPs can be synthesized by three different imprinting approaches: the non covalent, the covalent and the semi-covalent methods.…”
Section: Introductionmentioning
confidence: 99%
“…The molecularly imprinted polymeric materials can recognize target molecules with the shape-complementary cavities, and their applications in the recognition of biological compounds, drugs, and agrochemicals have been studied. [4][5][6][7] The polymers such as polyacrylate, polystyrene, and polysilane include one of the most frequently used recognition matrices. 8 The great potentiality of conducting polymers toward a number of applications, such as batteries, 9 sensors [10][11][12] and ionselective electrodes, 13,14 has attracted much attention.…”
mentioning
confidence: 99%
“…The first in-line MISPE was described by Sellergren for the determination of pentamidine in urine [107]. And the first evaluation of MIPs as in-line concentrator in CE was reported by Lara et al [108].…”
Section: 113mentioning
confidence: 99%