1993
DOI: 10.1080/09593339309385323
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Detection of mutagenic pollutants of inland and coastal waters by means of theSalmonella/microsomeassay

Abstract: A list of 116 water pollutants was prepared in order to tentatively identify some components critical for the activity of water concentrates in the Salmonella/micTosame mutagenicity test. Data are also reported concerning the recovery of alachlor, atrazine, benzo(a)pyrene, chlorodibromomethane and metolachlor from the aqueous phase by means of reverse osmosis and XAD-2 apolar resin extraction. Chemical analyses showed a consistent even though variable recovery of reference chemicals added to water samples at d… Show more

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Cited by 5 publications
(1 citation statement)
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“…48,54 The highest adhesion strength was observed between the sensor and iron (E79 kPa) due to the metal complexation between the metal ion and chemical groups (-NH 2 , CQO, and -COO À ) on the material surface. [55][56][57] The adhesion strength between the PC sensor and human skin (E27 kPa) or nitrile glove (E26 kPa) was also sufficient to form a firm attachment and meet the requirements of wearing, while both the AM-APA network and PEI network are biocompatible, 58,59 indicating that the asprepared PC sensor is biocompatible. Therefore, this sensor could be worn either directly or indirectly.…”
Section: Adhesive Properties Of the Wearable Pc Sensormentioning
confidence: 99%
“…48,54 The highest adhesion strength was observed between the sensor and iron (E79 kPa) due to the metal complexation between the metal ion and chemical groups (-NH 2 , CQO, and -COO À ) on the material surface. [55][56][57] The adhesion strength between the PC sensor and human skin (E27 kPa) or nitrile glove (E26 kPa) was also sufficient to form a firm attachment and meet the requirements of wearing, while both the AM-APA network and PEI network are biocompatible, 58,59 indicating that the asprepared PC sensor is biocompatible. Therefore, this sensor could be worn either directly or indirectly.…”
Section: Adhesive Properties Of the Wearable Pc Sensormentioning
confidence: 99%