Article
Refine
Year of publication
- 2024 (22)
- 2023 (41)
- 2022 (69)
- 2021 (69)
- 2020 (98)
- 2019 (94)
- 2018 (84)
- 2017 (72)
- 2016 (78)
- 2015 (83)
- 2014 (93)
- 2013 (96)
- 2012 (82)
- 2011 (127)
- 2010 (120)
- 2009 (121)
- 2008 (103)
- 2007 (92)
- 2006 (85)
- 2005 (97)
- 2004 (128)
- 2003 (71)
- 2002 (92)
- 2001 (86)
- 2000 (82)
- 1999 (88)
- 1998 (82)
- 1997 (77)
- 1996 (70)
- 1995 (68)
- 1994 (76)
- 1993 (51)
- 1992 (48)
- 1991 (25)
- 1990 (35)
- 1989 (38)
- 1988 (53)
- 1987 (32)
- 1986 (18)
- 1985 (32)
- 1984 (18)
- 1983 (17)
- 1982 (26)
- 1981 (18)
- 1980 (35)
- 1979 (23)
- 1978 (30)
- 1977 (14)
- 1976 (13)
- 1975 (10)
- 1974 (3)
- 1972 (2)
- 1971 (1)
- 1968 (1)
Institute
- Fachbereich Medizintechnik und Technomathematik (1310)
- INB - Institut für Nano- und Biotechnologien (485)
- Fachbereich Chemie und Biotechnologie (458)
- Fachbereich Elektrotechnik und Informationstechnik (412)
- IfB - Institut für Bioengineering (388)
- Fachbereich Energietechnik (355)
- Fachbereich Luft- und Raumfahrttechnik (243)
- Fachbereich Maschinenbau und Mechatronik (142)
- Fachbereich Wirtschaftswissenschaften (114)
- Fachbereich Bauingenieurwesen (65)
Has Fulltext
- no (3189) (remove)
Language
- English (3189) (remove)
Document Type
- Article (3189) (remove)
Keywords
- avalanche (5)
- Earthquake (4)
- LAPS (4)
- field-effect sensor (4)
- frequency mixing magnetic detection (4)
- CellDrum (3)
- Heparin (3)
- capacitive field-effect sensor (3)
- hydrogen peroxide (3)
- impedance spectroscopy (3)
The construction of a statistical test is investigated which is based only on “reliability” and “precision” as quality criteria. The reliability of a statistical test is quantifiedin a straightforward way by the probability that the decision of the test is correct. However, the quantification of the precision of a statistical test is not at all evident. Thereforethe paper presents and discusses several approaches. Moreover the distinction of “nullhypothesis” and “alternative hypothesis” is not necessary any longer.
Utilizing an appropriate enzyme immobilization strategy is crucial for designing enzyme-based biosensors. Plant virus-like particles represent ideal nanoscaffolds for an extremely dense and precise immobilization of enzymes, due to their regular shape, high surface-to-volume ratio and high density of surface binding sites. In the present work, tobacco mosaic virus (TMV) particles were applied for the co-immobilization of penicillinase and urease onto the gate surface of a field-effect electrolyte-insulator-semiconductor capacitor (EISCAP) with a p-Si-SiO₂-Ta₂O₅ layer structure for the sequential detection of penicillin and urea. The TMV-assisted bi-enzyme EISCAP biosensor exhibited a high urea and penicillin sensitivity of 54 and 85 mV/dec, respectively, in the concentration range of 0.1–3 mM. For comparison, the characteristics of single-enzyme EISCAP biosensors modified with TMV particles immobilized with either penicillinase or urease were also investigated. The surface morphology of the TMV-modified Ta₂O₅-gate was analyzed by scanning electron microscopy. Additionally, the bi-enzyme EISCAP was applied to mimic an XOR (Exclusive OR) enzyme logic gate.