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Investigating the effect of design parameters on the response time of a highly sensitive microbial hydrogen sulfide biosensor based on oxygen consumption

Vosoughi, A ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1016/j.bios.2015.03.025
  3. Publisher: Elsevier Ltd , 2015
  4. Abstract:
  5. A novel hydrogen sulfide microbial biosensor was developed based on investigating the influence of four design parameters: cell concentration, immobilization bed type, hydrogen sulfide concentration, and geometrical shape of the biosensor. Thiobacillus thioparus was used as the recognition element and it was immobilized on sodium alginate as well as agarose bed. The results were optimized by the application of statistical optimization software based on response time of the system. Oxygen reduction was considered as the detection sign. Sodium alginate solution with a concentration of 2.3% (w/v) and optical density of 10 at 605. nm was found as the optimum conditions for immobilization with response time of 72. s. Optimum response time of immobilized T. thioparus on agarose was also found equal to 120. s at agarose concentration of 1.2% (w/v) and optical density of 10.83. Performance of the biosensor in different temperatures, pH and agitation speeds was also analyzed. The designed biosensor could detect concentrations of hydrogen sulfide as low as 0.5. ppm. T. thioparus could retain 99% of the original activity in both systems, after ten days passing the fabrication. A fractal analysis was also done theoretically to investigate the diffusion of oxygen in immobilized cells which showed a satisfactory value of oxygen take up by the immobilized cells
  6. Keywords:
  7. Response time ; Alginate ; Application programs ; Biosensors ; Cell culture ; Cell immobilization ; Cells ; Density (optical) ; Density measurement (optical) ; Design ; Electrolytic reduction ; Hydrogen ; Oxygen ; Response time (computer systems) ; Sodium ; Sodium alginate ; Sulfur compounds ; Sulfur determination ; Agarose ; Design parameters ; Diffusion of oxygens ; Microbial biosensor ; Recognition element ; Statistical optimization ; Sulfide concentration ; Hydrogen sulfide ; Alginic acid ; Hydrogen sulfide ; Biosensor ; Computer program ; Concentration (parameters) ; Equipment design ; Fractal analysis ; Immobilization ; Immobilized cell ; Limit of detection ; Optical density ; Oxygen consumption ; Oxygen diffusion ; PH ; Process optimization ; Reaction time ; Temperature ; Velocity ; Thiobacillus thioparus
  8. Source: Biosensors and Bioelectronics ; Volume 70 , 2015 , Pages 106-114 ; 09565663 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0956566315001694