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Sharkey AM, Parker KM. Elucidating Factors Contributing to Dicamba Volatilization by Characterizing Chemical Speciation in Dried Dicamba-Amine Residues. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:12062-12072. [PMID: 38917340 DOI: 10.1021/acs.est.4c01591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
Dicamba is a semivolatile herbicide that has caused widespread unintentional damage to vegetation due to its volatilization from genetically engineered dicamba-tolerant crops. Strategies to reduce dicamba volatilization rely on the use of formulations containing amines, which deprotonate dicamba to generate a nonvolatile anion in aqueous solution. Dicamba volatilization in the field is also expected to occur after aqueous spray droplets dry to produce a residue; however, dicamba speciation in this phase is poorly understood. We applied Fourier transform infrared (FTIR) spectroscopy to evaluate dicamba protonation state in dried dicamba-amine residues. We first demonstrated that commercially relevant amines such as diglycolamine (DGA) and n,n-bis(3-aminopropyl)methylamine (BAPMA) fully deprotonated dicamba when applied at an equimolar molar ratio, while dimethylamine (DMA) allowed neutral dicamba to remain detectable, which corresponded to greater dicamba volatilization. Expanding the amines tested, we determined that dicamba speciation in the residues was unrelated to solution-phase amine pKa, but instead was affected by other amine characteristics (i.e., number of hydrogen bonding sites) that also correlated with greater dicamba volatilization. Finally, we characterized dicamba-amine residues containing an additional component (i.e., the herbicide S-metolachlor registered for use alongside dicamba) to investigate dicamba speciation in a more complex chemical environment encountered in field applications.
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Affiliation(s)
- Andromeda M Sharkey
- Department of Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
| | - Kimberly M Parker
- Department of Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States
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Curl CL, Hyland C, Spivak M, Sheppard L, Lanphear B, Antoniou MN, Ospina M, Calafat AM. The Effect of Pesticide Spray Season and Residential Proximity to Agriculture on Glyphosate Exposure among Pregnant People in Southern Idaho, 2021. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:127001. [PMID: 38054699 PMCID: PMC10699167 DOI: 10.1289/ehp12768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 09/20/2023] [Accepted: 10/17/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Glyphosate is one of the most heavily used pesticides in the world, but little is known about sources of glyphosate exposure in pregnant people living in agricultural regions. OBJECTIVE Our objective was to evaluate glyphosate exposure during pregnancy in relation to residential proximity to agriculture as well as agricultural spray season. METHODS We quantified glyphosate concentrations in 453 urine samples collected biweekly from a cohort of 40 pregnant people in southern Idaho from February through December 2021. We estimated each participant's glyphosate exposure as the geometric mean (GM) of glyphosate concentrations measured in all samples (average n = 11 samples/participant), as well as the GM of samples collected during the pesticide "spray season" (defined as those collected 1 May-15 August; average n = 5 samples/participant) and the "nonspray season" (defined as those collected before 1 May or after 15 August; average n = 6 samples/participant). We defined participants who resided < 0.5 km from an actively cultivated agriculture field to live "near fields" and those residing ≥ 0.5 km from an agricultural field to live "far from fields" (n = 22 and 18, respectively). RESULTS Among participants living near fields, urinary glyphosate was detected more frequently and at significantly increased GM concentrations during the spray season in comparison with the nonspray season (81% vs. 55%; 0.228 μ g / L vs. 0.150 μ g / L , p < 0.001 ). In contrast, among participants who lived far from fields, neither glyphosate detection frequency nor GMs differed in the spray vs nonspray season (66% vs. 64%; 0.154 μ g / L vs. 0.165 μ g / L , p = 0.45 ). Concentrations did not differ by residential proximity to fields during the nonspray season (0.154 μ g / L vs. 0.165 μ g / L , for near vs. far, p = 0.53 ). DISCUSSION Pregnant people living near agriculture fields had significantly increased urinary glyphosate concentrations during the agricultural spray season than during the nonspray season. They also had significantly higher urinary glyphosate concentrations during the spray season than those who lived far from agricultural fields at any time of year, but concentrations did not differ during the nonspray season. These findings suggest that agricultural glyphosate spray is a source of exposure for people living near fields. https://doi.org/10.1289/EHP12768.
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Affiliation(s)
- Cynthia L. Curl
- School of Public and Population Health, Boise State University, Boise, Idaho, USA
| | - Carly Hyland
- School of Public and Population Health, Boise State University, Boise, Idaho, USA
- Division of Environmental Health Sciences, School of Public Health, University of California Berkeley, Berkeley, CA, USA
- Division of Agriculture and National Resources, University of California, Berkeley, CA, USA
| | - Meredith Spivak
- School of Public and Population Health, Boise State University, Boise, Idaho, USA
| | - Lianne Sheppard
- School of Public Health, University of Washington, Seattle, Washington, USA
| | - Bruce Lanphear
- Simon Fraser University, Vancouver, British Columbia, Canada
| | - Michael N. Antoniou
- Gene Expression and Therapy Group, Department of Medical and Molecular Genetics, King’s College London, London, UK
- Life Sciences and Medicine, Guy’s Hospital, London, UK
| | - Maria Ospina
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Antonia M. Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Wang P, Xu X, Guo L, Liu L, Kuang H, Xiao J, Xu C. Hapten synthesis and a colloidal gold immunochromatographic strip assay to detect nitrofen and bifenox in fruits. Analyst 2023; 148:2449-2458. [PMID: 37144547 DOI: 10.1039/d3an00358b] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
In this study, we synthesized two haptens similar in structure to nitrofen (NIT), and screened out five monoclonal antibodies with the ability to recognize NIT and bifenox (BIF) by competitive ELISA, with the lowest IC50 values of 0.87 ng mL-1 and 0.86 ng mL-1, respectively. The antibody 5G7 was selected to be combined with colloidal gold to establish a lateral flow immunochromatographic assay strip. This method was shown to qualitatively and quantitatively detect the residues of NIT and BIF in fruit samples. The visual limits of detection for qualitative detection were 5 μg kg-1 and 10 μg kg-1 for NIT and BIF, respectively. The calculated limits of detection for quantitative detection were 0.75 μg kg-1, 1.77 μg kg-1 and 2.55 μg kg-1 respectively, for nitrofen in orange, apple and grapes, and 3.54 μg kg-1, 4.96 μg kg-1 and 5.26 μg kg-1, respectively, for bifenox. Thus the strip assay could be used for rapid analysis of fruit samples.
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Affiliation(s)
- Peng Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, China
- International Joint Research Laboratory for Biointerface and Biodetection and School of Food Science and Technology, Jiangnan University, China.
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Xinxin Xu
- State Key Laboratory of Food Science and Technology, Jiangnan University, China
- International Joint Research Laboratory for Biointerface and Biodetection and School of Food Science and Technology, Jiangnan University, China.
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Lingling Guo
- State Key Laboratory of Food Science and Technology, Jiangnan University, China
- International Joint Research Laboratory for Biointerface and Biodetection and School of Food Science and Technology, Jiangnan University, China.
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Liqiang Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, China
- International Joint Research Laboratory for Biointerface and Biodetection and School of Food Science and Technology, Jiangnan University, China.
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Hua Kuang
- State Key Laboratory of Food Science and Technology, Jiangnan University, China
- International Joint Research Laboratory for Biointerface and Biodetection and School of Food Science and Technology, Jiangnan University, China.
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
| | - Jing Xiao
- NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, People's Republic of China
| | - Chuanlai Xu
- State Key Laboratory of Food Science and Technology, Jiangnan University, China
- International Joint Research Laboratory for Biointerface and Biodetection and School of Food Science and Technology, Jiangnan University, China.
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu, 214122, People's Republic of China
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