TY  - JOUR
A1  - Karschuck, Tobias
A1  - Poghossian, Arshak
A1  - Ser, Joey
A1  - Tsokolakyan, Astghik
A1  - Achtsnicht, Stefan
A1  - Wagner, Patrick
A1  - Schöning, Michael Josef
T1  - Capacitive model of enzyme-modified field-effect biosensors: Impact of enzyme coverage
JF  - Sensors and Actuators B: Chemical
N2  - Electrolyte-insulator-semiconductor capacitors (EISCAP) belong to field-effect sensors having an attractive transducer architecture for constructing various biochemical sensors. In this study, a capacitive model of enzyme-modified EISCAPs has been developed and the impact of the surface coverage of immobilized enzymes on its capacitance-voltage and constant-capacitance characteristics was studied theoretically and experimentally. The used multicell arrangement enables a multiplexed electrochemical characterization of up to sixteen EISCAPs. Different enzyme coverages have been achieved by means of parallel electrical connection of bare and enzyme-covered single EISCAPs in diverse combinations. As predicted by the model, with increasing the enzyme coverage, both the shift of capacitance-voltage curves and the amplitude of the constant-capacitance signal increase, resulting in an enhancement of analyte sensitivity of the EISCAP biosensor. In addition, the capability of the multicell arrangement with multi-enzyme covered EISCAPs for sequentially detecting multianalytes (penicillin and urea) utilizing the enzymes penicillinase and urease has been experimentally demonstrated and discussed.
KW  - Field-effect biosensor
KW  - Capacitive model
KW  - Enzyme coverage
KW  - Multianalyte detection
KW  - Penicillin
Y1  - 2024
U6  - https://doi.org/10.1016/j.snb.2024.135530
SN  - 0925-4005 (Print)
SN  - 1873-3077 (Online)
N1  - Corresponding Author: Michael J. Schöning
VL  - 408
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Huck, Christina
A1  - Poghossian, Arshak
A1  - Bäcker, Matthias
A1  - Chaudhuri, S.
A1  - Zander, W.
A1  - Schubert, J.
A1  - Begoyan, V. K.
A1  - Buniatyan, V. V.
A1  - Wagner, P.
A1  - Schöning, Michael Josef
T1  - Capacitively coupled electrolyte-conductivity sensor based on high-k material of barium strontium titanate
JF  - Sensors and actuators. B: Chemical
Y1  - 2014
U6  - https://doi.org/10.1016/j.snb.2014.02.103
SN  - 1873-3077 (E-Journal); 0925-4005 (Print)
IS  - 198
SP  - 102
EP  - 109
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Rodrigues, Raul T.
A1  - Morais, Paulo V.
A1  - Nordi, Cristina S. F.
A1  - Schöning, Michael Josef
A1  - Siqueira Jr., José R.
A1  - Caseli, Luciano
T1  - Carbon Nanotubes and Algal Polysaccharides To Enhance the Enzymatic Properties of Urease in Lipid Langmuir-Blodgett Films
JF  - Langmuir
N2  - Algal polysaccharides (extracellular polysaccharides) and carbon nanotubes (CNTs) were adsorbed on dioctadecyldimethylammonium bromide Langmuir monolayers to serve as a matrix for the incorporation of urease. The physicochemical properties of the supramolecular system as a monolayer at the air–water interface were investigated by surface pressure–area isotherms, surface potential–area isotherms, interfacial shear rheology, vibrational spectroscopy, and Brewster angle microscopy. The floating monolayers were transferred to hydrophilic solid supports, quartz, mica, or capacitive electrolyte–insulator–semiconductor (EIS) devices, through the Langmuir–Blodgett (LB) technique, forming mixed films, which were investigated by quartz crystal microbalance, fluorescence spectroscopy, and field emission gun scanning electron microscopy. The enzyme activity was studied with UV–vis spectroscopy, and the feasibility of the thin film as a urea sensor was essayed in an EIS sensor device. The presence of CNT in the enzyme–lipid LB film not only tuned the catalytic activity of urease but also helped to conserve its enzyme activity. Viability as a urease sensor was demonstrated with capacitance–voltage and constant capacitance measurements, exhibiting regular and distinctive output signals over all concentrations used in this work. These results are related to the synergism between the compounds on the active layer, leading to a surface morphology that allowed fast analyte diffusion owing to an adequate molecular accommodation, which also preserved the urease activity. This work demonstrates the feasibility of employing LB films composed of lipids, CNT, algal polysaccharides, and enzymes as EIS devices for biosensing applications.
Y1  - 2018
U6  - https://doi.org/10.1021/acs.langmuir.7b04317
SN  - 1520-5827
VL  - 34
IS  - 9
SP  - 3082
EP  - 3093
PB  - ACS Publications
CY  - Washington, DC
ER  - 
TY  - JOUR
A1  - Scholl, Fabio
A1  - Morais, Paulo
A1  - Gabriel, Rayla
A1  - Schöning, Michael Josef
A1  - Siqueira, Jose Roberto, Jr.
A1  - Caseli, Luciano
T1  - Carbon nanotubes arranged as smart interfaces in lipid Langmuir-Blodgett films enhancing the enzymatic properties of penicillinase for biosensing applications
JF  - Applied Materials & Interfaces
N2  - In this paper, carbon nanotubes (CNTs) were incorporated in penicillinase-phospholipid Langmuir and Langmuir–Blodgett (LB) films to enhance the enzyme catalytic properties. Adsorption of the penicillinase and CNTs at dimyristoylphosphatidic acid (DMPA) monolayers at the air–water interface was investigated by surface pressure–area isotherms, vibrational spectroscopy, and Brewster angle microscopy. The floating monolayers were transferred to solid supports through the LB technique, forming mixed DMPA-CNTs-PEN films, which were investigated by quartz crystal microbalance, vibrational spectroscopy, and atomic force microscopy. Enzyme activity was studied with UV–vis spectroscopy and the feasibility of the supramolecular device nanostructured as ultrathin films were essayed in a capacitive electrolyte–insulator–semiconductor (EIS) sensor device. The presence of CNTs in the enzyme–lipid LB film not only tuned the catalytic activity of penicillinase but also helped conserve its enzyme activity after weeks, showing increased values of activity. Viability as penicillin sensor was demonstrated with capacitance/voltage and constant capacitance measurements, exhibiting regular and distinctive output signals over all concentrations used in this work. These results may be related not only to the nanostructured system provided by the film, but also to the synergism between the compounds on the active layer, leading to a surface morphology that allowed a fast analyte diffusion because of an adequate molecular accommodation, which also preserved the penicillinase activity. This work therefore demonstrates the feasibility of employing LB films composed of lipids, CNTs, and enzymes as EIS devices for biosensing applications.
Y1  - 2017
U6  - https://doi.org/10.1021/acsami.7b08095
SN  - 1944-8252
VL  - 9
IS  - 36
SP  - 31054
EP  - 31066
PB  - ACS
CY  - Washington
ER  - 
TY  - JOUR
A1  - Siqueira, José R. Jr.
A1  - Abouzar, Maryam H.
A1  - Bäcker, Matthias
A1  - Zucolotto, Valtencir
A1  - Poghossian, Arshak
A1  - Oliveira, Osvaldo N. Jr.
A1  - Schöning, Michael Josef
T1  - Carbon nanotubes in nanostructured films: Potential application as amperometric and potentiometric field-effect (bio-)chemical sensors
JF  - physica status solidi (a) . 206 (2009), H. 3
Y1  - 2009
SN  - 1862-6319
N1  - Special Issue: Engineering of Functional Interfaces (EnFI 08)
SP  - 462
EP  - 467
PB  - Wiley
CY  - Weinheim
ER  - 
TY  - CHAP
A1  - Schmidts, Oliver
A1  - Kraft, Bodo
A1  - Winkens, Marvin
A1  - Zündorf, Albert
T1  - Catalog integration of heterogeneous and volatile product data
T2  - DATA 2020: Data Management Technologies and Applications
N2  - The integration of frequently changing, volatile product data from different manufacturers into a single catalog is a significant challenge for small and medium-sized e-commerce companies. They rely on timely integrating product data to present them aggregated in an online shop without knowing format specifications, concept understanding of manufacturers, and data quality. Furthermore, format, concepts, and data quality may change at any time. Consequently, integrating product catalogs into a single standardized catalog is often a laborious manual task. Current strategies to streamline or automate catalog integration use techniques based on machine learning, word vectorization, or semantic similarity. However, most approaches struggle with low-quality or real-world data. We propose Attribute Label Ranking (ALR) as a recommendation engine to simplify the integration process of previously unknown, proprietary tabular format into a standardized catalog for practitioners. We evaluate ALR by focusing on the impact of different neural network architectures, language features, and semantic similarity. Additionally, we consider metrics for industrial application and present the impact of ALR in production and its limitations.
Y1  - 2021
SN  - 978-3-030-83013-7
U6  - https://doi.org/10.1007/978-3-030-83014-4_7
N1  - International Conference on Data Management Technologies and Applications, DATA 2020, 7-9 July
SP  - 134
EP  - 153
PB  - Springer
CY  - Cham
ER  - 
TY  - CHAP
A1  - Schmidts, Oliver
A1  - Kraft, Bodo
A1  - Winkens, Marvin
A1  - Zündorf, Albert
T1  - Catalog integration of low-quality product data by attribute label ranking
T2  - Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1
N2  - The integration of product data from heterogeneous sources and manufacturers into a single catalog is often still a laborious, manual task. Especially small- and medium-sized enterprises face the challenge of timely integrating the data their business relies on to have an up-to-date product catalog, due to format specifications, low quality of data and the requirement of expert knowledge. Additionally, modern approaches to simplify catalog integration demand experience in machine learning, word vectorization, or semantic similarity that such enterprises do not have. Furthermore, most approaches struggle with low-quality data. We propose Attribute Label Ranking (ALR), an easy to understand and simple to adapt learning approach. ALR leverages a model trained on real-world integration data to identify the best possible schema mapping of previously unknown, proprietary, tabular format into a standardized catalog schema. Our approach predicts multiple labels for every attribute of an inpu t column. The whole column is taken into consideration to rank among these labels. We evaluate ALR regarding the correctness of predictions and compare the results on real-world data to state-of-the-art approaches. Additionally, we report findings during experiments and limitations of our approach.
Y1  - 2020
SN  - 978-989-758-440-4
U6  - https://doi.org/10.5220/0009831000900101
N1  - 9th International Conference on Data Science, Technologies and Applications (DATA 2020), 7 - 9 July 2020, online
SP  - 90
EP  - 101
PB  - SciTePress
CY  - Setúbal, Portugal
ER  - 
TY  - JOUR
A1  - Artmann, Gerhard
T1  - Cellular engineering - a challenge for engineers? / Artmann, G. M.
JF  - Biomedizinische Technik = Biomedical Engineering. 45 (2000), H. s1
Y1  - 2000
SN  - 1862-278X
SP  - 449
ER  - 
TY  - JOUR
A1  - Artmann, Gerhard
A1  - Kelemen, C.
A1  - Porst, Dariusz
A1  - Büldt, G.
T1  - Cellular engineering: Crash tests an menschlichen Erythrozyten geben Aufschluß über versteckte Materialeigenschaften zellulärer Proteine / Artmann, G. M. ; Kelemen, Ch. ; Porst, D. ; Büldt, G. ; Chien, Shu
JF  - Biomedizinische Technik / Biomedical Engineering. 43 (1998), H. s1
Y1  - 1998
SN  - 1862-278
SP  - 446
EP  - 447
ER  - 
TY  - JOUR
A1  - Behbahani, Mehdi
A1  - Behr, M.
A1  - Arora, D.
A1  - Coronado, O.
A1  - Pasquali, M.
T1  - CFD Analysis of MicroMed Debakey Pump and Hemolysis Prediction / Behbahani, M. ; Behr, M. ; Arora, D. ; Coronado, O. ; Pasquali, M.
JF  - Artificial Organs. 30 (2006), H. 11
Y1  - 2006
SN  - 1525-1594
N1  - Abstracts 14th Congress of the International Society for Rotary Blood Pumps, Leuven, Belgium, August 31–September 2, 2006 ; S7-4
SP  - A45
EP  - A46
ER  -