Stripe‐shaped Electrochemical Biosensor for Organophosphate Pesticide

Abstract

Detection of organophosphate pesticides is indispensable to improve the quality of the water and therefore required by the European Union law. Here, we propose a novel architecture of a pesticide biosensor where the enzyme and the electrode are placed into neighboring zones in the stripe form. This separation permits to use the optimal conditions for their immobilization resulting in undisrupted mechanical stability of the biosensor. The enzyme, acetylcholinesterase, generates thiocholine which is further oxidized at the carbon nanoparticles film electrode, exhibiting high electrocatalytic activity. The whole device was tested as a biosensor for malaoxon employing a wild or recombinant acetylcholinesterase. The latter allowed for incubation time decrease down to 10 minutes and lowered the detection limit to 0.25 nM. Moreover, the encapsulated enzyme activity was visualised by a scanning electrochemical microscopy.

An ultrasensitive “mix-and-detect” kind of fluorescent biosensor for malaoxon detection using the AChE-ATCh-Ag-GO system

“… 19 Additionally, Celebanska et al , have constructed an electrochemical-based sensor for detecting malaoxon (LOD – 0.25 nM) using carbon NPs. 21 Despite the achievement of a low detection limit in the aforementioned studies, the detection methods employed intricate protocols involving immobilization and pre-treatment steps.…”

“…In recent times, various detection approaches have been established for analyzing malaoxon. [18][19][20][21] For instance, Zuo et al, have fabricated molecularly imprinted polymer solid phase extraction using TiO 2 nanowires for the determination of malaoxon (LOD -0.01 mg L −1 ). 18 Hua and co-workers have proposed the enantiomer separation method for malaoxon analysis (LOD -0.08 mg kg −1 ) using acetonitrile/water or methanol/water.…”

Water Quality Carbon Nanotube-Based Sensors Technological Barriers and Late Research Trends: A Bibliometric Analysis

“…[41,98,100,102,[107][108][109][118][119][120][121][122][123][124][125][126][127][128][129][130][131][134][135][136][137][138][139][140][141][142][143][144][145][146][147][148][149][150][151] Selectivity[102,106,109,110,113,116,[120][121][122][123]125,129,…”