Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Optimized biosensors based on purified enzymes and engineered yeasts: Detection of inhibitors of cholinesterases on grapes

Academic Article
Publication Date:
2004
abstract:
Purified acetyl cholinesterase (AChE) from electric eel or engineered yeasts (Kluyveromyces lactis) expressing cholinesterase activity from rat, were immobilised on a nylon membrane for the measurement of residual cholinesterase activity after inhibition by the organophosphorous insecticide Paraoxon (diethyl p-nitrophenyl phosphate). Measurement was separately operated after the incubation (inhibition) step. The measurement of the residual enzyme activity was therefore performed in a standardised solution with a choline electrochemical biosensor, without any interference, avoiding the use of protecting selective membranes. Both commercial amperometric sensor and screen-printed electrodes, produced and optimized in the laboratory, were used. The time consuming incubation step was simultaneously performed on several samples, thus lowering the analysis time per sample. Good limit of detection (LOD) (0.1 mug/L) and reproducibility were obtained for the analysis of paraoxon. A simple procedure for the detection of cholinesterase inhibitors on grapes was then developed. The procedure itself could be further extended to several fruits and vegetables, giving a simple but effective tool to verify the absence of residues of anticholinesterasic insecticides.
Iris type:
01.01 Articolo in rivista
Keywords:
cholinesterase inhibitors; acetyl cholinesterase; gas chromatography; limit of detection; enzyme inhibition-based biosensors
List of contributors:
Pilloton, Roberto
Authors of the University:
PILLOTON ROBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/267758
Published in:
ANALYTICAL LETTERS
Journal
  • Overview

Overview

URL

https://cnr-it.academia.edu/RobertoPilloton/Papers
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)