Studies on the construction and operation of miniaturized potentiometric biosensors
Kamila Konopińska , Mariusz Pietrzak , Elżbieta Malinowska
AbstractThis study aims at presenting the studies on construction and operation of solid-state miniaturized biosensor with potentiometric detection. The performance of sensors with layer which consisted of mixture of aliphatic thiols and thiols containing ferrocene terminal groups or the conductive polymer layer obtained by electrochemical polymerization of 3,4-ethylenedioxythiophene was compared. Both of the applied modifications proved to significantly affect the sensors' performance, influencing the stability of their working parameters in time. Wherein, the greatest improvement in planar sensors’ operating parameters was achieved by applying conductive polymer layer. Subsequently, a system creating universal platform for the construction of a biosensor, dedicated to almost any analyte determination, depending on the composition of the affinity proteins used in the receptor layer, was developed. For the construction of proposed biosensor, alkaline phosphatase was chosen as a model enzyme, assuming either the role of direct component of receptor layer or a label in affinity biosensor. The affinity biosensor structure was characterized by a sandwich assay, using a highly specific interaction occurring between streptavidin and biotin. Aside from optimization of various components of the constructed sensor, the most adequate analysis conditions were designated in the course of presented research. As it turned out, the composition of buffer solution used has a significant influence on the activity of the applied enzyme as well as on the working parameters of the sensor. Tris buffer was, therefore, found as the one ensuring the best performance of sensors utilizing alkaline phosphatase.
|Journal series||Journal of Solid State Electrochemistry, ISSN 1432-8488|
|Publication size in sheets||0.5|
|Keywords in English||biosensor ; potentiometry ; alkaline phosphatase ; intermediate layer|
|ASJC Classification||; ; ;|
|Score|| = 25.0, 24-06-2020, ArticleFromJournal|
= 30.0, 24-06-2020, ArticleFromJournal
|Publication indicators||= 1; = 1; = 1.0; : 2013 = 0.917; : 2013 = 2.234 (2) - 2013=2.317 (5)|
|Citation count*||1 (2016-09-14)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.