@article{KirsteinKirsteinSchelleretal.1994,
  author    = {Kirstein, Dieter and Kirstein, Lincoln and Scheller, Frieder W. and Dieckmann, St. and Ronnenberg, J. and Beckmann, Dieter and Weckenbrock, E.},
  title     = {Elektroenzymatische Reduktion von Nitrat},
  year      = {1994},
  language  = {de}
}
@article{StoesselSchultedosSantosetal.2018,
  author    = {Stoessel, Daniel and Schulte, Claudia and dos Santos, Marcia C. Teixeira and Scheller, Dieter and Rebollo-Mesa, Irene and Deuschle, Christian and Walther, Dirk and Schauer, Nicolas and Berg, Daniela and da Costa, Andre Nogueira and Maetzler, Walter},
  title     = {Promising Metabolite Profiles in the Plasma and CSF of Early Clinical},
  series = {Frontiers in Aging Neuroscience},
  volume    = {10},
  journal   = {Frontiers in Aging Neuroscience},
  publisher = {Frontiers Research Foundation},
  address   = {Lausanne},
  issn      = {1663-4365},
  doi       = {10.3389/fnagi.2018.00051},
  pages     = {14},
  year      = {2018},
  abstract  = {Parkinson's disease (PD) shows high heterogeneity with regard to the underlying molecular pathogenesis involving multiple pathways and mechanisms. Diagnosis is still challenging and rests entirely on clinical features. Thus, there is an urgent need for robust diagnostic biofluid markers. Untargeted metabolomics allows establishing low-molecular compound biomarkers in a wide range of complex diseases by the measurement of various molecular classes in biofluids such as blood plasma, serum, and cerebrospinal fluid (CSF). Here, we applied untargeted high-resolution mass spectrometry to determine plasma and CSF metabolite profiles. We semiquantitatively determined small-molecule levels (<= 1.5 kDa) in the plasma and CSF from early PD patients (disease duration 0-4 years; n = 80 and 40, respectively), and sex-and age-matched controls (n = 76 and 38, respectively). We performed statistical analyses utilizing partial least square and random forest analysis with a 70/30 training and testing split approach, leading to the identification of 20 promising plasma and 14 CSF metabolites. The semetabolites differentiated the test set with an AUC of 0.8 (plasma) and 0.9 (CSF). Characteristics of the metabolites indicate perturbations in the glycerophospholipid, sphingolipid, and amino acid metabolism in PD, which underscores the high power of metabolomic approaches. Further studies will enable to develop a potential metabolite-based biomarker panel specific for PD},
  language  = {en}
}
@article{MakCheungTrauetal.2005,
  author    = {Mak, Wing Cheung and Cheung, Kwan Yee and Trau, Dieter and Warsinke, Axel and Scheller, Frieder W. and Renneberg, Reinhard},
  title     = {Electrochemical bioassay utilizing encapsulated electrochemical active microcrystal biolabels},
  issn      = {0003-2700},
  year      = {2005},
  abstract  = {A new approach to perform electrochemical immunoassay based on the utilization of encapsulated microcrystal was developed. The microcrystal labels create a "supernova effect" upon exposure to a desired releasing agent. The microcrystal cores dissolve, and large amounts of signal-generating molecules diffuse across the capsule wall into the outer environment. Layer-by-Layer (LbL) technology was employed for the encapsulation of electrochemical signal- generating microcrystals (ferrocene microcrystals). The encapsulated microcrystals were conjugated with antibody molecules through the adsorption process. The biofunctionalized microcrystals were utilized as a probe for immunoassays. The microcrystal-based label system provided a high-signal molecule to antibody (SIP) ratio of 10(4)-10(5). Microcrystal biolabels with different antibody surface coverage (1.60-5.05 mg m(-2)) were subjected to a solid-phase immunoassay for the detection of mouse immunoglobulin G (M-IgG) molecules. The microcrystal-based immunoassay for the detection of M-IgG performed with microcrystals having antibody surface coverage of 5.05 mg m(-2) showed a sensitivity of 3.93 nA g(- 1) L-1 with a detection limit of 2.82 g L-1},
  language  = {en}
}
@article{SchellerKirsteinPfeiffer1994,
  author    = {Scheller, Frieder W. and Kirstein, Dieter and Pfeiffer, Dorothea},
  title     = {Biosensoren, Konzepte, Technologien, Perspektiven},
  year      = {1994},
  language  = {de}
}
@article{KirsteinKirsteinSchelleretal.1998,
  author    = {Kirstein, Dieter and Kirstein, Lincoln and Scheller, Frieder W. and Borcherding, H.},
  title     = {Amperometric nitrate biosensors on the basis of Pseudomonas stutzeri nitrate reductase},
  year      = {1998},
  language  = {en}
}
@article{SchellerKirsteinSchubertetal.1993,
  author    = {Scheller, Frieder W. and Kirstein, Dieter and Schubert, Florian and Pfeiffer, Dorothea and McNeil, C. J.},
  title     = {Enzymes in electrochemical biosensors},
  year      = {1993},
  language  = {en}
}
@incollection{LueckBalderjahnKammetal.2000,
  author    = {L{\"u}ck, Erika and Balderjahn, Ingo and Kamm, Birgit and Greil, Holle and Wallschl{\"a}ger, Hans-Dieter and Jessel, Beate and B{\"o}ckmann, Christine and Oberh{\"a}nsli, Roland and Soyez, Konrad and Schmeer, Ernst and Blumenstein, Oswald and Berndt, Klaus-Peter and Edeling, Thomas and Friedrich, Sabine and Kaden, Klaus and Scheller, Frieder W. and Petersen, Hans-Georg and Asche, Hartmut and Bronstert, Axel and Giest, Hartmut and Gaedke, Ursula and L{\"o}hmannsr{\"o}ben, Hans-Gerd and Jeltsch, Florian and J{\"a}nkel, Ralph and Gzik, Axel and Bork, Hans-Rudolf and Bork, Hans-Rudolf},
  title     = {Umweltforschung f{\"u}r das Land Brandenburg : Arbeitsgruppen und Professuren},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-3797},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {2000},
  language  = {de}
}