Comment on “Glyphosate contamination in European rivers not from herbicide application?” By M. Schwientek, H. Rügner, S.B. Haderlein, W. Schulz, B. Wimmer, L. Engelbart, S. Bieger, C. Huhn; Water Research Volume 263, 1 October 2024, 122140, page 1-10.

IF 11.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2024-12-11 DOI:10.1016/j.watres.2024.122965

Harry H. Tolkamp, Roberta (C.H.M.). Hofman-Caris

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引用次数: 0

Abstract

Section snippets

Use of glyphosate

Schwientek et al. carried out a large meta-analysis of sites in Europe and the USA, and noticed differences in glyphosate and AMPA concentration patterns. They hypothesized that the presence of measured concentrations glyphosate and its transformation product AMPA in WWTP effluent cannot be attributed to the use of glyphosate as a herbicide. For this study they used data over the years 2014 until January 2023. The use of glyphosate as a herbicide in urban settings has been banned in some member

Formation of AMPA

AMPA can be formed by microbial degradation of glyphosate in soils and from photo-degradation of amino polyphosphonates in water (Grandcoin et al. 2017, Wang et al. 2020). These authors didn't indicate the formation of glyphosate from amino phosphonates. Biodegradation of phosphonates is not or only slightly possible (Horstmann and Grohmann 1988, Nowack and Baumann 1998, Drzyzga et al. 2017). In a recent paper Riedel et al. (2024) managed to identify a bacterial strain that can use phosphonates

Conclusions

Schwientek et al. argue that there should be another source of glyphosate, and that AMPA or other phosphonates may well be converted into glyphosate. However, they do not take into account physical/chemical proof on glyphosate and polyphosphonate degradation and the use of glyphosate as a herbicide in the urban environment during the period they investigated. No analytical or mechanistic data are presented, and their claims contradict scientific findings. They focused more on the number of

CRediT authorship contribution statement

Harry H. Tolkamp: Writing – original draft, Investigation. Roberta (C.H.M.). Hofman-Caris: Writing – original draft, Investigation.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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来源期刊

Water Research 环境科学-工程：环境

CiteScore

20.80

自引率

9.40%

发文量

1307

审稿时长

38 days

期刊介绍： Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.