Literature DB >> 31388955

Migration of cypermethrin to and through the PET containers and artificial neural network-based estimation of its emission.

Nenad Jevremović1, Melina Kalagasidis Krušić1, Davor Antanasijević2, Ivanka Popović1.   

Abstract

Nowadays, the extensive use of pesticides in crops production puts a significant challenge to minimize its side effects along with safe production, storage, and after-use treatment. This paper reports results related to the emission of certain pesticide formulations through the PET containers, as well as, their mitigation to the PET containers during their storage. The influence of storage time on cypermethrin migration to and through the PET was studied in short-term Collaborative International Pesticides Analytical Council test lasting up to 30 days. The PET containers were filled with pure xylene and pesticide formulations, where the amount of active substance, cypermethrin (CY), varied from 5 to 20 wt%, while the amount of emulsifier was kept constant. The results indicate that pesticide formulations diffuse to PET containers with an average increase of its initial mass up to 1.5%. The most intensive diffusion is in the first 24 months of storage, after its rate significantly decreases. It should be noted that the diffusion studied pesticide formulations are also very dependent on CY concentration. Besides the migration to the PET containers, it was also found that pesticide formulation was emitted through the PET containers in the first 17 to 24 months of storage depending on CY concentration. Emission rates were also dependent on CY concentration and were in the range of 15.3 to 38.0 mg/month·container. The emission through the PET containers was successfully predicted using artificial neural networks with R2 = 0.94 and the mean absolute percentage error (MAPE) of only 6.2% on testing.

Entities:  

Keywords:  Cypermethrin; Migration; Modeling; Pollution; Poly(ethylene terephthalate); Xylene

Mesh:

Substances:

Year:  2019        PMID: 31388955     DOI: 10.1007/s11356-019-06108-8

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  7 in total

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Authors:  J Eras; J Costa; F Vilaró; A M Pelacho; R Canela-Garayoa; L Martin-Closas
Journal:  Sci Total Environ       Date:  2016-12-29       Impact factor: 7.963

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Authors:  Simeon Marnasidis; Katerina Stamatelatou; Efstathia Verikouki; Konstantinos Kazantzis
Journal:  J Environ Manage       Date:  2018-07-20       Impact factor: 6.789

Review 4.  Risk assessment of occupational pesticide exposure: Use of endpoints and surrogates.

Authors:  Simone Caetani Machado; Isarita Martins
Journal:  Regul Toxicol Pharmacol       Date:  2018-08-18       Impact factor: 3.271

5.  PM(10) emission forecasting using artificial neural networks and genetic algorithm input variable optimization.

Authors:  Davor Z Antanasijević; Viktor V Pocajt; Dragan S Povrenović; Mirjana Đ Ristić; Aleksandra A Perić-Grujić
Journal:  Sci Total Environ       Date:  2012-12-04       Impact factor: 7.963

6.  Fabrication and characterization of β-cypermethrin-loaded PLA microcapsules prepared by emulsion-solvent evaporation: loading and release properties.

Authors:  Jianguo Feng; Guantian Yang; Shengwei Zhang; Qi Liu; Seid Mahdi Jafari; David Julian McClements
Journal:  Environ Sci Pollut Res Int       Date:  2018-03-01       Impact factor: 4.223

7.  Emissions from open burning of used agricultural pesticide containers.

Authors:  Brian K Gullett; Dennis Tabor; Abderrahmane Touati; Jeanne Kasai; Nancy Fitz
Journal:  J Hazard Mater       Date:  2012-04-21       Impact factor: 10.588

  7 in total

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