Bi-enzyme assay coupled with silver nanoplate transformation for insecticide detection
Issued Date
2024-01-01
Resource Type
eISSN
25160230
Scopus ID
2-s2.0-85206436284
Journal Title
Nanoscale Advances
Rights Holder(s)
SCOPUS
Bibliographic Citation
Nanoscale Advances (2024)
Suggested Citation
Khampieng T., Kewcharoen K., Parnklang T., Kladsomboon S., Chailapakul O., Apilux A. Bi-enzyme assay coupled with silver nanoplate transformation for insecticide detection. Nanoscale Advances (2024). doi:10.1039/d4na00585f Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/101710
Title
Bi-enzyme assay coupled with silver nanoplate transformation for insecticide detection
Corresponding Author(s)
Other Contributor(s)
Abstract
A novel colorimetric method utilizing a bi-enzyme assay using silver nanoplates (AgNPls) as a direct signal source was developed to enable rapid insecticide detection. This innovative system leverages the in situ generated H2O2 from the consecutive enzyme-catalyzed reactions of acetylcholine hydrolysis and choline oxidation to introduce oxidative etching of AgNPls, transforming them into aggregated silver nanospheres (AgNSs). The morphological transformation of silver nanoparticles could be observed with the naked eye due to the solution's color shifts from pink-violet to blue-violet. The presence of insecticide, i.e., dichlorvos (DDVP), could inhibit acetylcholinesterase activity, thereby limiting H2O2 production and affecting the transformation of AgNPls into aggregated AgNSs. Furthermore, the extent of AgNPl-to-aggregated AgNS transformation and the subsequent solution's color change was inversely proportional to the amount of DDVP. Under optimal conditions, the developed bi-enzyme assay enables the quantification of DDVP within 5 minutes, achieving detection limits of 0.5 ppm and 0.1 ppm by naked-eye detection and UV-visible spectrophotometry, respectively. Furthermore, the practical application of this assay was validated for detecting insecticides in real vegetable samples, demonstrating both accuracy and reliability.