Simplified analysis of glyphosate and aminomethylphosphonic acid in water, vegetation and soil by liquid chromatography–tandem mass spectrometry

Marek, LeEtta J.; Koskinen, William C.

doi:10.1002/ps.3684

Cited by 36 publications

(51 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The most commonly used extractants for soil have been aqueous bases (0.1–1.0 M KOH or NaOH; 0.25 M NH 4 0H/0.01 M KHPO 4 ; 1.0–2.0 M of NH 4 OH) water (Table ) . Other extractants include: 10% phosphoric acid, 0.1M KH 2 PO 4 , and sodium borate buffers . Todorovic et al .…”

Section: Analysis Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of glyphosate and aminomethylphosphonic acid in water, plant materials and soil

2015

Self Cite

View full text Add to dashboard Cite

There is a need for simple, fast, efficient and sensitive methods of analysis for glyphosate and its degradate aminomethylphosphonic acid (AMPA) in diverse matrices such as water, plant materials and soil to facilitate environmental research needed to address the continuing concerns related to increasing glyphosate use. A variety of water-based solutions have been used to extract the chemicals from different matrices. Many methods require extensive sample preparation, including derivatization and clean-up, prior to analysis by a variety of detection techniques. This review summarizes methods used during the past 15 years for analysis of glyphosate and AMPA in water, plant materials and soil. The simplest methods use aqueous extraction of glyphosate and AMPA from plant materials and soil, no derivatization, solid-phase extraction (SPE) columns for clean-up, guard columns for separation and confirmation of the analytes by mass spectrometry and quantitation using isotope-labeled internal standards. They have levels of detection (LODs) below the regulatory limits in North America. These methods are discussed in more detail in the review.

show abstract

Section: Analysis Methodsmentioning

confidence: 99%

“…The application of a previously published method to a new matrix also serves as the basis for some recent publications. Very few articles have been published on multimatrix methods …”

Section: Introductionmentioning

confidence: 99%

Analysis of glyphosate and aminomethylphosphonic acid in water, plant materials and soil

2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…Glyphosate and AMPA can be ionized in positive or negative modes through proton addition or loss [20,24,55].…”

Section: Chromatography and Mass Spectrometrymentioning

confidence: 99%

“…Most published methods involve liquid extraction of soil followed by cleanup [20][21][22][23]. There have been few reported methods for determining glyphosate in fatty matrices [21,24,25], and none in rape.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Liquid chromatographic determination of glyphosate and aminomethylphosphonic acid residues in rapeseed with MS/MS detection or derivatization/fluorescence detection

Kaczyński

Łozowicka

2015

Open Chemistry

View full text Add to dashboard Cite

Unveiling spatial variability in herbicide soil sorption using Bayesian digital mapping

et al. 2021

View full text Add to dashboard Cite

Regional mapping herbicide sorption to soil is essential for risk assessment. However, conducting analytical quantification of adsorption coefficient (K d ) in large-scale studies is too costly; therefore, a research question arises on goodness of K d spatial prediction from sampling. The application of a spatial Bayesian regression (BR) is a newer technique in agricultural and natural resources sciences that allows converting spatially discrete samples into maps covering continuous spatial domains. The objective of this work was to unveil herbicide sorption to soil at a landscape scale by developing a predictive BR model. We integrated a large set of ancillary soil and climate covariables from sites with K d measurements into a spatial mixed model including site random effects. The models were fitted using glyphosate and atrazine K d s, determined in 80 and 120 sites, respectively, from central Argentina. For model assessment, measurements of global and point-wise prediction errors were obtained by cross-validation; residual variability was estimated by bootstrap to compare BR with regression kriging. Results showed that the BR spatial predictions outperformed regression kriging. The glyphosate K d model (root mean square prediction error, 13% of the mean) included aluminum oxides, pH, and clay content, whereas the atrazine K d model strongly depended on soil organic carbon and clay and on climatic variables related to water availability (root mean square prediction error, 27%). Spatial modeling of a complex edaphic process as herbicide sorption to soils enhanced environmental interpretations. An efficient approach for spatial mapping provides a modern perspective on the study of herbicide sorption to soil.

show abstract

Simplified analysis of glyphosate and aminomethylphosphonic acid in water, vegetation and soil by liquid chromatography–tandem mass spectrometry

Cited by 36 publications

References 28 publications

Analysis of glyphosate and aminomethylphosphonic acid in water, plant materials and soil

Analysis of glyphosate and aminomethylphosphonic acid in water, plant materials and soil

Liquid chromatographic determination of glyphosate and aminomethylphosphonic acid residues in rapeseed with MS/MS detection or derivatization/fluorescence detection

Unveiling spatial variability in herbicide soil sorption using Bayesian digital mapping

Contact Info

Product

Resources

About