Skip to main content
padlock icon - secure page this page is secure

Colorimetric Sensing of Glyphosate in Environmental Water Based on Peroxidase Mimetic Activity of MoS2 Nanosheets

Buy Article:

$106.67 + tax (Refund Policy)

Glyphosate was found for the first time to inhibit the catalytic activity of MoS2 nanosheets, which could catalyze the oxidation of 3,3′,5,5′-tetramethylbenzidine by H2O2 to produce a colorimetric reaction. In the presence of glyphosate, the absorbance and blue color of the system was decreased. Therefore, a simple and sensitive colorimetric sensing method for glyphosate based on the peroxidase mimetic activity of MoS2 nanosheets was developed. A linear relationship between the absorbance change and concentration of glyphosate was observed over the range of 0.4—2.0 μg/mL (R 2 = 0.993) with a detection limit (3Ω/S) of 0.087 μg/mL. The colorimetric sensing method was simple, rapid, specific and sensitive, and the detection limit of 0.087 μg/mL is lower than the maximum contaminant level of glyphosate in drinking water set by the Environment Protection Agency of USA and World Health Organization. This method was applied to detect glyphosate in environmental water samples with satisfactory results.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Colorimetric Method; Glyphosate; MoS2 Nanosheets; Transition Metal Dichalcogenides

Document Type: Research Article

Affiliations: 1: Department of Tourism, Fujian Commercial College, Fuzhou, 350012, China 2: Ministry of Education Key Laboratory of Analysis and Detection for Food Safety, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, 350116, China 3: College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, 350002, China

Publication date: August 1, 2017

More about this publication?
  • Journal for Nanoscience and Nanotechnology (JNN) is an international and multidisciplinary peer-reviewed journal with a wide-ranging coverage, consolidating research activities in all areas of nanoscience and nanotechnology into a single and unique reference source. JNN is the first cross-disciplinary journal to publish original full research articles, rapid communications of important new scientific and technological findings, timely state-of-the-art reviews with author's photo and short biography, and current research news encompassing the fundamental and applied research in all disciplines of science, engineering and medicine.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more