Jump to main content
Jump to site search
PLANNED MAINTENANCE Close the message box

Scheduled maintenance upgrade on Thursday 4th of May 2017 from 8.00am to 9.00am (BST).

During this time our websites will be offline temporarily. If you have any questions please use the feedback button on this page. We apologise for any inconvenience this might cause and thank you for your patience.



Detection of herbicide glyphosates based on anti-aggregation mechanism by using unmodified gold nanoparticles in presence of Pb2+

Abstract

In this study, a new detection method for glyphosate (GPS) based on anti-aggregation mechanism by using gold nanoparticles (AuNPs) is proposed. A certain amount of Pb2+ can cause the aggregation of AuNPs because of electrostatic interactions and the color of solution changed from red to gray. However, in presence of GPS, the above process can be strongly hindered due to the chelation between GPS and Pb2+. Based on this anti-aggregation mechanism, the colorimetric detection method exhibits excellent sensitivity for GPS. The limit of detection (LOD) is 0.5 μM by the naked eyes and 2.38 nM by UV-vis spectroscopy. The selectivity of AuNPs detection system for GPS is excellent comparing with other pesticides. A good linear relationship (R2 = 0.99695) between the absorption intensity ratio and GPS concentrations indicates that our probe can be used for the quantitative assay of GPS. The detection method has been successfully used for detecting GPS in real environmental samples.

Back to tab navigation
Please wait while Download options loads

Supplementary files

Publication details

The article was received on 17 Feb 2017, accepted on 15 Apr 2017 and first published on 17 Apr 2017


Article type: Paper
DOI: 10.1039/C7AY00426E
Citation: Anal. Methods, 2017, Accepted Manuscript
  •   Request permissions

    Detection of herbicide glyphosates based on anti-aggregation mechanism by using unmodified gold nanoparticles in presence of Pb2+

    Z. Zhou, Y. Zhang, J. Kang, C. Dong, N. Chen, X. Li, Z. Guo and A. Wu, Anal. Methods, 2017, Accepted Manuscript , DOI: 10.1039/C7AY00426E

Search articles by author