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@PHDTHESIS{FigueroaMiranda:903300,
      author       = {Figueroa Miranda, Gabriela},
      title        = {{D}evelopment of {E}lectrochemical {A}ptasensors for the
                      {H}ighly {S}ensitive, {S}elective, and {D}iscriminatory
                      {D}etection of {M}alaria {B}iomarkers},
      volume       = {75},
      school       = {RWTH Aachen},
      type         = {Dissertation},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2021-04996},
      isbn         = {978-3-95806-589-5},
      series       = {Schriften des Forschungszentrums Jülich. Reihe Information
                      / Information},
      pages        = {137 S.},
      year         = {2021},
      note         = {RWTH Aachen, Diss., 2021},
      abstract     = {Malaria, a vector-borne disease caused by
                      $\textit{Plasmodium}$ parasites, still has high mortality
                      rates, mainly in tropical and developing countries. Towards
                      the desired malaria eradication goal, the “test, treat and
                      track” policy of the world health organization (WHO) plays
                      an important role. The early detection of malaria is crucial
                      to provide timely and adequate antimalaria treatment.
                      However, there is still need for the development of a
                      low-cost, highly sensitive, selective, and quantitative
                      malaria test that can also discriminate between the two more
                      common $\textit{Plasmodium falciparum}$ and
                      $\textit{Plasmodium vivax}$ malaria parasites for guiding a
                      correct treatment. This research project aims to develop a
                      novel, highly sensitive, and selective electrochemical
                      aptasensor for discriminatory malaria detection. In this
                      dissertation, the performance of apreviously established
                      electrochemical malaria aptasensor is optimized by means of
                      the blocking molecules to detect malaria in biological
                      samples. Posterous, the aptasensor detection was translated
                      into two different transducer detection platforms for their
                      characterization and possible application as point-of-care
                      (POC) malaria detection technologies. The first point was
                      achieved by implementing a polyethylene glycol (PEG) film to
                      suppress unspecific binding from human serum on an
                      electrochemical malaria aptasensor fabricated on single gold
                      macroelectrodes. A detailed study of the variation of the
                      chemical and morphological composition of the
                      aptamer/polyethylene glycol mixed monolayer as a function of
                      incubation time was conducted. Higher resistance to matrix
                      biofouling was found for polyethylene glycol than for
                      hydrophobic alkanethiol films. The best sensor performance
                      was observed for intermediate polyethylene glycol
                      immobilization times. With prolonged incubation, phase
                      separation of aptamer and polyethylene glycol molecules
                      locally increased the aptamer density, thereby diminishing
                      the analyte binding capability. Remarkably, polyethylene
                      glycols do not affect the aptasensor sensitivity but enhance
                      the complex matrix tolerance, dynamic range, and detection
                      limit. Careful tuning of the blocking molecule
                      immobilization is crucial to achieving high aptasensor
                      performance and biofouling resistance. [...]},
      cin          = {IBI-3},
      cid          = {I:(DE-Juel1)IBI-3-20200312},
      pnm          = {5241 - Molecular Information Processing in Cellular Systems
                      (POF4-524)},
      pid          = {G:(DE-HGF)POF4-5241},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
      urn          = {urn:nbn:de:0001-2022011104},
      url          = {https://juser.fz-juelich.de/record/903300},
}