@article{HalamekMakowerKnoescheetal.2005,
  author    = {Halamek, Jan and Makower, Alexander and Kn{\"o}sche, Kristina and Skladal, Petr and Scheller, Frieder W.},
  title     = {Piezoelectric affinity sensors for cocaine and cholinesterase inhibitors},
  year      = {2005},
  abstract  = {We report here the development of piezoelectric affinity sensors for cocaine and cholinesterase inhibitors based on the formation of affinity complexes between an immobilized cocaine derivative and an anti-cocaine antibody or cholinesterase. For both binding reactions benzoylecgonine-1,8-diamino-3,4-dioxaoctane (BZE-DADOO) was immobilized on the surface of the sensor. For immobilization. pre-conjugated BZE-DADOO with 11-mercaptomonoundecanoic acid (MUA) via 2- (5-norbornen-2,3-dicarboximide)-1,1,3,3-tetramethyluronium-tetrafluoro borate (TNTU) allowed the formation of a chemisorbed monolayer on the piezosensor surface. The detection of cocaine was based oil a competitive assay. The change of frequency measured after 300 s of the binding reaction was used as the signal. The maximum binding of the antibody resulted in a frequency decrease of 35 Hz (with an imprecision 3\%, n = 3) while the presence of 100 pmol I-1 cocaine decreased the binding by 11\%. The limit of detection was consequently below 100 pmol I-1 for cocaine. The total time of one analysis was 15 min. This BZE-DADOO-modified sensor was adapted for the detection of organophosphates. BZE-DADOO - a competitive inhibitor - served as binding element for cholinesterase in a competitive assay. (C) 2004 Elsevier B.V. All rights reserved},
  language  = {en}
}
@article{MakowerHalamekSkladaletal.2003,
  author    = {Makower, Alexander and Hal{\´a}mek, Jan and Skl{\´a}dal, Petr and Kernchen, Frank and Scheller, Frieder W.},
  title     = {New principle of direct real-time monitoring of the interaction of cholinesterase and its inhibitors by piezoelectric biosensor},
  year      = {2003},
  language  = {en}
}
@article{CzolkosDockTonningetal.2016,
  author    = {Czolkos, Ilja and Dock, Eva and Tonning, Erik and Christensen, Jakob and Winther-Nielsen, Margrethe and Carlsson, Charlotte and Mojzikova, Renata and Skladal, Petr and Wollenberger, Ursula and Norgaard, Lars and Ruzgas, Tautgirdas and Emneus, Jenny},
  title     = {Prediction of wastewater quality using amperometric bioelectronic tongues},
  series = {Marine policy},
  volume    = {75},
  journal   = {Marine policy},
  publisher = {Elsevier},
  address   = {Oxford},
  issn      = {0956-5663},
  doi       = {10.1016/j.bios.2015.08.055},
  pages     = {375 -- 382},
  year      = {2016},
  abstract  = {Wastewater samples from a Swedish chemi-thermo-mechanical pulp (CTMP) mill collected at different purification stages in a wastewater treatment plant (WWTP) were analyzed with an amperometric enzyme-based biosensor array in a flow-injection system. In order to resolve the complex composition of the wastewater, the array consists of several sensing elements which yield a multidimensional response. We used principal component analysis (PCA) to decompose the array's responses, and found that wastewater with different degrees of pollution can be differentiated. With the help of partial least squares regression (PLS-R), we could link the sensor responses to the toxicity parameter, as well as to global organic pollution parameters (COD, BOD, and TOC). From investigating the influences of individual sensors in the array, it was found that the best models were in most cases obtained when all sensors in the array were included in the PLS-R model. We find that fast simultaneous determination of several global environmental parameters characterizing wastewaters is possible with this kind of biosensor array, in particular because of the link between the sensor responses and the biological effect onto the ecosystem into which the wastewater would be released. In conjunction with multivariate data analysis tools, there is strong potential to reduce the total time until a result is yielded from days to a few minutes.},
  language  = {en}
}