Lab-on-a-chip for ultrasensitive detection of carbofuran by enzymatic inhibition with replacement of enzyme using magnetic beads

Xavier Llopis, Martin Pumera, Salvador Alegret, Arben Merkoi

Research output: Contribution to journalArticle

48 Citations (Scopus)

Abstract

In this paper an ultrasensitive method to determine toxicity due to pesticides in a glass lab-on-a-chip by means of enzymatic inhibition of acetylcholinesterase immobilised on magnetic beads is described. The reproducible insertion of a controlled amount of enzyme-coupled magnetic beads inside the chip channel and their immobilisation in a capture region with the aid of a magnetic field has been optimised. This procedure enables the easy renewal of the biosensing material after each determination in a highly reproducible manner. Several operational parameters such as the working potential for the selective detection of thiocholine (TCh) on a platinum disc electrode, the TCh detection reproducibility and sensitivity, the electroosmotic flow driving voltage and the inhibition time were also evaluated or optimised. The detection of carbofuran (one of the most toxic carbamate pesticides) has been achieved down to the nanomolar level.

Original languageEnglish
Pages (from-to)213-218
Number of pages6
JournalLab on a Chip
Volume9
Issue number2
DOIs
Publication statusPublished - 2009 Jan 1

Fingerprint

Thiocholine
Carbofuran
Enzyme inhibition
Lab-on-a-chip
Pesticides
Enzymes
Electroosmosis
Carbamates
Poisons
Magnetic Fields
Acetylcholinesterase
Platinum
Immobilization
Glass
Toxicity
Electrodes
Magnetic fields
Electric potential

All Science Journal Classification (ASJC) codes

  • Bioengineering
  • Biochemistry
  • Chemistry(all)
  • Biomedical Engineering

Cite this

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Lab-on-a-chip for ultrasensitive detection of carbofuran by enzymatic inhibition with replacement of enzyme using magnetic beads. / Llopis, Xavier; Pumera, Martin; Alegret, Salvador; Merkoi, Arben.

In: Lab on a Chip, Vol. 9, No. 2, 01.01.2009, p. 213-218.

Research output: Contribution to journalArticle

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