Migration of cypermethrin to and through the PET containers and artificial neural network-based estimation of its emission
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 decre...ases. 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 center dot container. The emission through the PETcontainers was successfully predicted using artificial neural networks with R-2 = 0.94 and the mean absolute percentage error (MAPE) of only 6.2% on testing.
Keywords:
Poly(ethylene terephthalate) / Cypermethrin / Xylene / Migration / Pollution / ModelingSource:
Environmental Science and Pollution Research, 2019, 26, 28, 28933-28939Publisher:
- Springer Heidelberg, Heidelberg
Funding / projects:
- Synthesis and characterization of novel functional polymers and polymeric nanocomposites (RS-172062)
- Development and Application of Methods and Materials for Monitoring New Organic Contaminants, Toxic Compounds and Heavy Metals (RS-172007)
DOI: 10.1007/s11356-019-06108-8
ISSN: 0944-1344
PubMed: 31388955
WoS: 000500035700046
Scopus: 2-s2.0-85070276389
Institution/Community
Tehnološko-metalurški fakultetTY - JOUR AU - Jevremović, Nenad AU - Kalagasidis Krušić, Melina AU - Antanasijević, Davor AU - Popović, Ivanka PY - 2019 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4093 AB - 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 center dot container. The emission through the PETcontainers was successfully predicted using artificial neural networks with R-2 = 0.94 and the mean absolute percentage error (MAPE) of only 6.2% on testing. PB - Springer Heidelberg, Heidelberg T2 - Environmental Science and Pollution Research T1 - Migration of cypermethrin to and through the PET containers and artificial neural network-based estimation of its emission EP - 28939 IS - 28 SP - 28933 VL - 26 DO - 10.1007/s11356-019-06108-8 ER -
@article{ author = "Jevremović, Nenad and Kalagasidis Krušić, Melina and Antanasijević, Davor and Popović, Ivanka", year = "2019", 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 center dot container. The emission through the PETcontainers was successfully predicted using artificial neural networks with R-2 = 0.94 and the mean absolute percentage error (MAPE) of only 6.2% on testing.", publisher = "Springer Heidelberg, Heidelberg", journal = "Environmental Science and Pollution Research", title = "Migration of cypermethrin to and through the PET containers and artificial neural network-based estimation of its emission", pages = "28939-28933", number = "28", volume = "26", doi = "10.1007/s11356-019-06108-8" }
Jevremović, N., Kalagasidis Krušić, M., Antanasijević, D.,& Popović, I.. (2019). Migration of cypermethrin to and through the PET containers and artificial neural network-based estimation of its emission. in Environmental Science and Pollution Research Springer Heidelberg, Heidelberg., 26(28), 28933-28939. https://doi.org/10.1007/s11356-019-06108-8
Jevremović N, Kalagasidis Krušić M, Antanasijević D, Popović I. Migration of cypermethrin to and through the PET containers and artificial neural network-based estimation of its emission. in Environmental Science and Pollution Research. 2019;26(28):28933-28939. doi:10.1007/s11356-019-06108-8 .
Jevremović, Nenad, Kalagasidis Krušić, Melina, Antanasijević, Davor, Popović, Ivanka, "Migration of cypermethrin to and through the PET containers and artificial neural network-based estimation of its emission" in Environmental Science and Pollution Research, 26, no. 28 (2019):28933-28939, https://doi.org/10.1007/s11356-019-06108-8 . .