TY - JOUR A1 - Halamek, Jan A1 - Makower, Alexander A1 - Knösche, Kristina A1 - Skladal, Petr A1 - Scheller, Frieder W. T1 - Piezoelectric affinity sensors for cocaine and cholinesterase inhibitors N2 - 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 Y1 - 2005 ER - TY - JOUR A1 - Makower, Alexander A1 - Halámek, Jan A1 - Skládal, Petr A1 - Kernchen, Frank A1 - Scheller, Frieder W. T1 - New principle of direct real-time monitoring of the interaction of cholinesterase and its inhibitors by piezoelectric biosensor Y1 - 2003 ER - TY - JOUR A1 - Czolkos, Ilja A1 - Dock, Eva A1 - Tonning, Erik A1 - Christensen, Jakob A1 - Winther-Nielsen, Margrethe A1 - Carlsson, Charlotte A1 - Mojzikova, Renata A1 - Skladal, Petr A1 - Wollenberger, Ursula A1 - Norgaard, Lars A1 - Ruzgas, Tautgirdas A1 - Emneus, Jenny T1 - Prediction of wastewater quality using amperometric bioelectronic tongues JF - Marine policy N2 - 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. KW - Biosensor array KW - Electronic tongue KW - Amperometric sensor KW - Screen-printed electrode KW - Multivariate data analysis KW - Chemometrics KW - Wastewater KW - Toxicity KW - Phenolic compounds Y1 - 2016 U6 - https://doi.org/10.1016/j.bios.2015.08.055 SN - 0956-5663 SN - 1873-4235 VL - 75 SP - 375 EP - 382 PB - Elsevier CY - Oxford ER -