Related Experiment Video
Updated: Feb 7, 2026

GC-based Detection of Aldononitrile Acetate Derivatized Glucosamine and Muramic Acid for Microbial Residue Determination in Soil
Published on: May 19, 2012
Determination of glyphosate residues in Egyptian soil samples
Kawther El-Gendy1, Eman Mosallam2, Nabila Ahmed1
1Department of Pesticide Chemistry, Faculty of Agriculture, Alexandria University, Alexandria, Egypt.
Abstract:
A sensitive linker-assisted enzyme-linked immunosorbent assay (L'ELISA) was developed for the analysis of glyphosate in Egyptian soil samples. Polyclonal glyphosate antibodies were produced from rabbits immunized with glyphosate protein conjugate. The conjugate was prepared by activating the carboxylic groups of proteins; thyroglobulin or bovine serum albumin with 1-ethyl-3- (3-diaminopropyl) carbodiimide hydrochloride and N-hydroxysulfosuccinimide followed by directly coupled to the amino group of glyphosate. The L'ELISA used succinic anhydride to derivatize glyphosate, which mimics the epitopic attachment of glyphosate to thyroglobulin. L'ELISA recognized the derivatized glyphosate with a limit of detection (LOD) of 0.8 ng g-1 and sensitivity (IC50 value) of 0.018 μg g-1. The recovery values of the spiked soil samples with different concentrations of glyphosate were in the range of 87.4-97.2%. Good correlation was achieved between L'ELISA and conventional high-pressure liquid chromatography (HPLC) with fluorescence detection. This study demonstrated the utility and convenience of the sensitive, simple, practical and cost-effective L'ELISA method for glyphosate analysis in soil samples. Also, it is ideal for rapid screening of a large number of environmental samples.
Related Concept Videos
The Soil Ecosystem
Residual Plots
When the residual values are plotted against the variable x, it is called a residual...
Residual Stresses
Residual Stresses in Circular Shafts
Residual Stresses in Bending
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...

