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Abstract

Glyphosate is an inhibitor of the shikimate pathway in plants and the most widely used broad-spectrum herbicide. Due to the abundance of its use, there exists a necessity to measure the levels both in humans and in the environment to control the nefarious outcomes of its use. The appropriateness, selectivity, and the specifi city of the employed analytical methods are crucial for the reliability of the resultant deductions when conducting biomonitoring studies on possible exposure to chemicals, whether the samples are biological or environmental in nature. The aim of this study is to evaluate the analytical techniques used to monitor glyphosate levels in human and environmental samples. A detailed web-based literature search was conducted to gather data on the analytical techniques used for glyphosate determination. The most preferred authentic samples are blood, urine, and milk. Environmental samples include plants, soil, and water. Among widely used analytical techniques used to detect glyphosate are High Performance Liquid Chromatography, Liquid Chromatography with tandem mass spectrometry, Gas Chromatography – Tandem Mass Spectrometry, and enzyme-linked immunosorbent assay. Depending on the sample and study, the most suitable analytical method has been selected. A critical evaluation and publication of pre-existing literature on analytical methods in glyphosate-based herbicide detection will thus aid all relevant researchers in the determination of an appropriate, selective, and specific methodology
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Bibliography

  1. Acquavella, J.F., Alexander, B.H., Mandel, J.S., Gustin, C., Baker, B. & Chapman, P. (2004). Glyphosate biomonitoring for farmers and their families: Results from the farm family exposure study. Environmental Health Perspectives 112, pp. 321–326. DOI:10.1289/ehp.6667
  2. Alexa, E., Bragea, M., Sumalan, R., Lăzureanu, A., Negrea, M. & Iancu, S.(2009). Dynamic of glyphosate mineralization in different soil types. Romanian Agricultural Research, https://www.incda-fundulea.ro/rar/nr26/rar26.11.pdf
  3. Anifandis, G., Katsanaki, K., Lagodonti, G., Messini, C., Simopoulou, M., Dafopoulos, K. & Daponte, A. (2018). The effect of glyphosate on human sperm motility and sperm DNA fragmentation. International Journal of Environmental Research and Public Health 15. DOI:10.3390/ijerph15061117
  4. Aparicio, V.C., De Gerónimo, E., Marino, D., Primost, J., Carriquiriborde, P. & Costa, J.L. (2013). Environmental fate of glyphosate and aminomethylphosphonic acid in surface waters and soil of agricultural basins. Chemosphere 93, pp. 1866–1873. DOI:10.1016/j.chemosphere.2013.06.041
  5. Avila-Vazquez, M., Difilippo, F.S., Lean, B. Mac, Maturano, E. & Etchegoyen, A. (2018). Environmental Exposure to Glyphosate and Reproductive Health Impacts in Agricultural Population of Argentina. Journal of Environmental Protection 9, pp. 241–253. DOI:10.4236/jep.2018.93016
  6. Banks, M.L., Kennedy, A.C., Kremer, R.J. & Eivazi, F. (2014). Soil microbial community response to surfactants and herbicides in two soils. Applied Soil Ecology 74, pp. 12–20. DOI:10.1016/j.apsoil.2013.08.018
  7. Bento, C.P.M., Goossens, D., Rezaei, M., Riksen, M., Mol, H.G.J., Ritsema, C.J. & Geissen, V. (2017). Glyphosate and AMPA distribution in wind-eroded sediment derived from loess soil. Environmental Pollution 220, pp. 1079–1089. DOI:10.1016/j.envpol.2016.11.033
  8. Biagini, R.E., Smith, J.P., Sammons, D.L., MacKenzie, B.A., Striley, C.A.F., Robertson, S.K. & Snawder, J.E. (2004). Development of a sensitivity enhanced multiplexed fluorescence covalent microbead immunosorbent assay (FCMIA) for the measurement of glyphosate, atrazine and metolachlor mercapturate in water and urine. Analytical and Bioanalytical Chemistry, 379, pp. 368–374. DOI:10.1007/s00216-004-2628-8
  9. Bienvenu, J.F., Bélanger, P., Gaudreau, É., Provencher, G. & Fleury, N. (2021). Determination of glyphosate, glufosinate and their major metabolites in urine by the UPLC-MS/MS method applicable to biomonitoring and epidemiological studies. Anal Bioanal Chem, 413, pp. 2225–2234. DOI:10.1007/S00216-021-03194-X
  10. Bothwell, J.H.F. & Griffin, J.L. (2011). An introduction to biological nuclear magnetic resonance spectroscopy. Biological Reviews. DOI:10.1111/j.1469-185X.2010.00157.x
  11. Bressán, I.G., Llesuy, S.F., Rodriguez, C., Ferloni, A., Dawidowski, A.R., Figar, S.B. & Giménez, M.I. (2021). Optimization and validation of a liquid chromatography-tandem mass spectrometry method for the determination of glyphosate in human urine after pre-column derivatization with 9-fluorenylmethoxycarbonyl chloride. J Chromatogr B Analyt Technol Biomed Life Sci, 1171. DOI:10.1016/J.JCHROMB.2021.122616
  12. Brewster, D.W., Warren, J.A. & Hopkins, W.E. (1991). Metabolism of glyphosate in Sprague-Dawley rats: Tissue distribution, identification, and quantitation of glyphosate-derived materials following a single oral dose. Fundamental and Applied Toxicology, 17, pp. 43–51. DOI:10.1016/0272-0590(91)90237-X
  13. Brito, I.P.F.S., Tropaldi, L., Carbonari, C.A. & Velini, E.D. (2018). Hormetic effects of glyphosate on plants. Pest Management Science. DOI:10.1002/ps.4523
  14. Cantwell, F.F. & Losier, M. (2002). Liquid-liquid extraction. Comprehensive Analytical Chemistry, 37, pp. 297–340. DOI:10.1016/S0166-526X(02)80048-4
  15. Cartigny, B., Azaroual, N., Imbenotte, M., Mathieu, D., Vermeersch, G., Goullé, J.P. & Lhermitte, M. (2004). Determination of glyphosate in biological fluids by 1H and 31P NMR spectroscopy, Forensic Science International, pp. 141–145. DOI:10.1016/j.forsciint.2004.03.025
  16. Cassigneul, A., Benoit, P., Bergheaud, V., Dumeny, V., Etiévant, V., Goubard, Y., Maylin, A., Justes, E. & Alletto, L. (2016). Fate of glyphosate and degradates in cover crop residues and underlying soil: A laboratory study. Science of the Total Environment, 545–546, pp. 582–590. DOI:10.1016/j.scitotenv.2015.12.052
  17. Chiu, H.Y., Lin, Z.Y., Tu, H.L. & Whang, C.W. (2008). Analysis of glyphosate and aminomethylphosphonic acid by capillary electrophoresis with electrochemiluminescence detection. Journal of Chromatography, A, 1177, pp. 195–198. DOI:10.1016/j.chroma.2007.11.042
  18. Connolly, A., Jones, K., Galea, K.S., Basinas, I., Kenny, L., McGowan, P.& Coggins, M. (2017). Exposure assessment using human biomonitoring for glyphosate and fluroxypyr users in amenity horticulture. International Journal of Hygiene and Environmental Health, 220, pp. 1064–1073. DOI:10.1016/j.ijheh.2017.06.008
  19. Curwin, B.D., Hein, M.J., Sanderson, W.T., Striley, C., Heederik, D., Kromhout, H., Reynolds, S.J. & Alavanja, M.C. (2007). Urinary Pesticide Concentrations Among Children, Mothers and Fathers Living in Farm and Non-Farm Households in Iowa. The Annals of Occupational Hygiene, 51, pp. 53–65. DOI:10.1093/ANNHYG
  20. de Villiers, L. & Toit Loots, D. (2013). Using Metabolomics for Elucidating the Mechanisms Related to Tuberculosis Treatment Failure. Current Metabolomics, 1(4), 2013, pp. 306-317.
  21. Delhomme, O., Rodrigues, A., Hernandez, A., Chimjarn, S., Bertrand, C., Bourdat-Deschamps, M., Fritsch, C., Pelosi, C., Nélieu, S. & Millet, M. (2021). A method to assess glyphosate, glufosinate and aminomethylphosphonic acid in soil and earthworms. Journal of Chromatography, A, 1651, 462339. DOI:10.1016/J.CHROMA.2021.462339
  22. Dhamu, V.N., Poudyal, D.C., Telang, C.M., Paul, A., Muthukumar, S. & Prasad, S. (2021). Electrochemically mediated multi‐modal detection strategy‐driven sensor platform to detect and quantify pesticides. Electrochemical Science Advances. DOI:10.1002/elsa.202100128
  23. EFSA, n.d. Glossary | European Food Safety Authority [WWW Document]. EFSA. URL https://www.efsa.europa.eu/en/glossary-taxonomy-terms (accessed 5.19.20a).
  24. EFSA, n.d. Why do some scientists say that glyphosate is carcinogenic? DOI:10.2805/654221
  25. El Deeb, S., Wätzig, H., Abd El-Hady, D., Sänger-van de Griend, C. & Scriba, G.K.E. (2016). Recent advances in capillary electrophoretic migration techniques for pharmaceutical analysis (2013–2015). Electrophoresis. DOI:10.1002/elps.201600058
  26. El-Gendy, K., Mosallam, E., Ahmed, N. & Aly, N. (2018). Determination of glyphosate residues in Egyptian soil samples. Analytical Biochemistry, 557, pp. 1–6. DOI:10.1016/j.ab.2018.07.004
  27. European Comission, n.d. EU Pesticides database - European Commission [WWW Document]. URL https://ec.europa.eu/food/plant/pesticides/eu-pesticides-database/public/?event=activesubstance.detail&language=EN&selectedID=1438 (accessed 2.26.20a).
  28. European Comission, n.d. Evaluation of the impact of glyphosate residues in food on human health.
  29. FDA, 2016. U.S. Food and Drug Administration Supporting Document for Action Level for Inorganic Arsenic in Rice Cereals for Infants.
  30. Fluegge, Keith R. & Fluegge, Kyle R. (2015). Glyphosate use predicts ADHD hospital discharges in the Healthcare Cost and Utilization Project Net (HCUPnet): A two-way fixed-effects analysis. PLoS ONE, 10. DOI:10.1371/journal.pone.0133525
  31. Fontàs, C. & Sanchez, J.M. (2020). Evaluation and optimization of the derivatization reaction conditions of glyphosate and aminomethylphosphonic acid with 6‐aminoquinolyl‐N‐hydroxysuccinimidyl carbamate using reversed‐phase liquid chromatography. Journal of Separation Science, 43, pp. 3931–3939. DOI:10.1002/jssc.202000645
  32. Gerbreders, V., Krasovska, M., Mihailova, I., Ogurcovs, A., Sledevskis, E., Gerbreders, A., Tamanis, E., Kokina, I. & Plaksenkova, I. (2021). Nanostructure-based electrochemical sensor: Glyphosate detection and the analysis of genetic changes in rye DNA. Surfaces and Interfaces 26, 101332. DOI:10.1016/J.SURFIN.2021.101332
  33. Glass, R.L. (1987). Adsorption of Glyphosate by Soils and Clay Minerals. Journal of Agricultural and Food Chemistry, 35, pp. 497–500. DOI:10.1021/jf00076a013
  34. Gotti, R., Fiori, J., Bosi, S. & Dinelli, G. (2019). Field-amplified sample injection and sweeping micellar electrokinetic chromatography in analysis of glyphosate and aminomethylphosphonic acid in wheat. Journal of Chromatography, A, 1601, pp. 357–364. DOI:10.1016/j.chroma.2019.05.013
  35. Grau, D., Grau, N., Gascuel, Q., Paroissin, C., Stratonovitch, C., Lairon, D., Devault, D.A. & di Cristofaro, J. (2022). Quantifiable urine glyphosate levels detected in 99% of the French population, with higher values in men, in younger people, and in farmers. Environ Sci Pollut Res Int, 29. DOI:10.1007/S11356-021-18110-0
  36. Grebe, S.K.G. & Singh, R.J. (2011). LC-MS/MS in the clinical laboratory - Where to from here? Clinical Biochemist Reviews, 32, pp. 5–31.
  37. Guo, H., Riter, L.S., Wujcik, C.E. & Armstrong, D.W. (2016). Direct and sensitive determination of glyphosate and aminomethylphosphonic acid in environmental water samples by high performance liquid chromatography coupled to electrospray tandem mass spectrometry. Journal of Chromatography, A, 1443, pp. 93–100. DOI:10.1016/j.chroma.2016.03.020
  38. Guo, H., Wang, H., Zheng, J., Liu, W., Zhong, J. & Zhao, Q. (2018). Sensitive and rapid determination of glyphosate, glufosinate, bialaphos and metabolites by UPLC–MS/MS using a modified Quick Polar Pesticides Extraction method. Forensic Science International, 283, pp. 111–117. DOI:10.1016/j.forsciint.2017.12.016
  39. Habekost, A. (2017). Rapid and sensitive spectroelectrochemical and electrochemical detection of glyphosate and AMPA with screen-printed electrodes. Talanta, 162, pp. 583–588. DOI:10.1016/J.TALANTA.2016.10.074
  40. Hottes, E. (2021). Rapid quantification of residual glyphosate in water treated with layered double hydroxides using liquid chromatography / quantificação rápida de glifosato residual em água tratada com hidróxidos duplos lamelares usando cromatografia líquida. Brazilian Journal of Development, 7(3), pp. 20923–20938. DOI:10.34117/bjdv7n3-006
  41. International Agency for Research on Cancer, 2015. IARC Monograph on Glyphosate.
  42. Jansons, M., Pugajeva, I., Bartkevics, V. & Karkee, H.B. (2021). LC-MS/MS characterisation and determination of dansyl chloride derivatised glyphosate, aminomethylphosphonic acid (AMPA), and glufosinate in foods of plant and animal origin. Journal of Chromatography, B, 1177, 122779. DOI:10.1016/J.JCHROMB.2021.122779
  43. Jayasumana, C., Gunatilake, S. & Siribaddana, S. (2015). Simultaneous exposure to multiple heavy metals and glyphosate may contribute to Sri Lankan agricultural nephropathy. BMC Nephrol, 16, 103. DOI:10.1186/s12882-015-0109-2
  44. Jensen, P.K., Wujcik, C.E., McGuire, M.K. & McGuire, M.A. (2016). Validation of reliable and selective methods for direct determination of glyphosate and aminomethylphosphonic acid in milk and urine using LC-MS/MS. Journal of Environmental Science and Health - Part B, Pesticides, Food Contaminants, and Agricultural Wastes 51, pp. 254–259. DOI:10.1080/03601234.2015.1120619
  45. Ladeira, C. & Viegas, S. (2016). Human Biomonitoring – An overview on biomarkers and their application in Occupational and Environmental Health. Biomonitoring, 3. DOI:10.1515/BIMO-2016-0003
  46. Łozowicka, B. & Kaczyński, P. (2011). Pesticide Residues In Apples (2005–2010) . Archives of Environmental Protection, 37(3), pp. 43-54.
  47. Manno, M., Viau, C., Cocker, J., Colosio, C., Lowry, L., Mutti, A., Nordberg, M. & Wang, S. (2010). Biomonitoring for occupational health risk assessment (BOHRA). Toxicology Letters, 192, pp. 3–16. DOI:10.1016/J.TOXLET.2009.05.001
  48. Marcelo, G., Elise. Smedbol, Annie, C., Louise, H.-E., Michel, L., Laurent, L., Marc, L. & Philippe, J. (2004). Alteration of Plant Physiology by Glyphosate and Its By-Product Aminomethylphosphonic Acid: An Overview. Journal of Experimental Botany, 65, pp. 4691–4703. DOI:10.1093/jxb
  49. Marek, L.J. & Koskinen, W.C. (2014). Simplified analysis of glyphosate and aminomethylphosphonic acid in water, vegetation and soil by liquid chromatography-tandem mass spectrometry. Pest Management Science, 70, pp. 1158–1164. DOI:10.1002/ps.3684
  50. Martin-Reina, J., Dahiri, B., Carbonero-Aguilar, P., Soria-Dıaz, M.E., González, A.G., Bautista, J. & Moreno, I. (2021). Validation of a simple method for the determination of glyphosate and aminomethylphosphonic acid in human urine by UPLC-MS/MS. Microchemical Journal, 170, 106760. DOI:10.1016/J.MICROC.2021.106760
  51. Masár, M., Hradski, J., Schmid, M.G. & Szucs, R. (2020). Advantages and pitfalls of capillary electrophoresis of pharmaceutical compounds and their enantiomers in complex samples: Comparison of hydrodynamically opened and closed systems. International Journal of Molecular Sciences, 21, pp. 1–14. DOI:10.3390/ijms21186852
  52. Mcguire, M.K., Mcguire, M.A., Price, W.J., Shafii, B., Carrothers, J.M., Lackey, K.A., Goldstein, D.A., Jensen, P.K. & Vicini, J.L. (2016). Glyphosate and aminomethylphosphonic acid are not detectable in human milk. American Journal of Clinical Nutrition, 103, pp. 1285–1290. DOI:10.3945/ajcn.115.126854
  53. Meftaul, I.M., Venkateswarlu, K., Dharmarajan, R., Annamalai, P., Asaduzzaman, M., Parven, A. & Megharaj, M. (2020). Controversies over human health and ecological impacts of glyphosate: Is it to be banned in modern agriculture? Environmental Pollution. DOI:10.1016/j.envpol.2020.114372
  54. Moldoveanu, S. & David, V. (2015). The Role of Sample Preparation, [In:] Modern Sample Preparation for Chromatography. Elsevier, pp. 33–49. DOI:10.1016/b978-0-444-54319-6.00002-5
  55. Nagatomi, Y., Yoshioka, T., Yanagisawa, M., Uyama, A. & Mochizuki, N. (2013). Simultaneous LC-MS/MS analysis of glyphosate, glufosinate, and their metabolic products in beer, barley tea, and their ingredients. Bioscience, Biotechnology and Biochemistry, 77, pp. 2218–2221. DOI:10.1271/bbb.130433
  56. Ohara, T., Yoshimoto, T., Natori, Y. & Ishii, A. (2021). A simple method for the determination of glyphosate, glufosinate and their metabolites in biological specimen by liquid chromatography/tandem mass spectrometry: an application for forensic toxicology. Nagoya Journal of Medical Science, 83, 567. DOI:10.18999/NAGJMS.83.3.567
  57. Okada, E., Coggan, T., Anumol, T., Clarke, B. & Allinson, G. (2019). A simple and rapid direct injection method for the determination of glyphosate and AMPA in environmental water samples. Analytical and Bioanalytical Chemistry, 411, pp. 715–724. DOI:10.1007/s00216-018-1490-z
  58. Okada, E., Costa, J.L. & Bedmar, F. (2016). Adsorption and mobility of glyphosate in different soils under no-till and conventional tillage. Geoderma, 263, pp. 78–85. DOI:10.1016/j.geoderma.2015.09.009
  59. Philipp Schledorn, M.K. (2014). Detection of Glyphosate Residues in Animals and Humans. Journal of Environmental & Analytical Toxicology, 04. DOI:10.4172/2161-0525.1000210
  60. Phillips, T.M. (2018). Recent advances in CE and microchip-CE in clinical applications: 2014 to mid-2017. Electrophoresis. DOI:10.1002/elps.201700283
  61. Poiger, T., Buerge, I.J., Bächli, A., Müller, M.D. & Balmer, M.E. (2017). Occurrence of the herbicide glyphosate and its metabolite AMPA in surface waters in Switzerland determined with on-line solid phase extraction LC-MS/MS. Environmental Science and Pollution Research, 24, pp. 1588–1596. DOI:10.1007/s11356-016-7835-2
  62. PubChem, n.d. Glyphosate | C3H8NO5P - PubChem [WWW Document]. URL https://pubchem.ncbi.nlm.nih.gov/compound/Glyphosate#section=Solubility (accessed 7.31.21).
  63. Rendón-Von Osten, J. & Dzul-Caamal, R. (2017). Glyphosate Residues in Groundwater, Drinking Water and Urine of Subsistence Farmers from Intensive Agriculture Localities: A Survey in Hopelchén, Campeche, Mexico. International Journal of Environmental Research and Public Health Article. DOI:10.3390/ijerph14060595
  64. Ruiz, P., Dualde, P., Coscollà, C., Fernández, S.F., Carbonell, E. & Yusà, V. (2021). Biomonitoring of glyphosate and AMPA in the urine of Spanish lactating mothers. Sci Total Environ, 801. DOI:10.1016/J.SCITOTENV.2021.149688
  65. Sadkowska, J., Caban, M., Chmielewski, M., Stepnowski, P. & Kumirska, J. (2019). The use of gas chromatography for determining pharmaceutical residues in clinical, cosmetic, food and environmental samples in the light of the requirements of sustainable development. Archives of Environmental Protection, 45, pp. 42–49. DOI:10.24425/AEP.2019.124829
  66. Sakamoto, S., Putalun, W., Vimolmangkang, S., Phoolcharoen, W., Shoyama, Y., Tanaka, H. & Morimoto, S. (2018). Enzyme-linked immunosorbent assay for the quantitative/qualitative analysis of plant secondary metabolites. Journal of Natural Medicines. DOI:10.1007/s11418-017-1144-z
  67. Scandurra, A., Censabella, M., Gulino, A., Grimaldi, M.G. & Ruffino, F. (2022). Gold nanoelectrode arrays dewetted onto graphene paper for selective and direct electrochemical determination of glyphosate in drinking water. Sens Biosensing Res, 36, 100496. DOI:10.1016/J.SBSR.2022.100496
  68. Sidoli, P., Baran, N. & Angulo-Jaramillo, R. (2016). Glyphosate and AMPA adsorption in soils: laboratory experiments and pedotransfer rules. Environmental Science and Pollution Research, 23, pp. 5733–5742. DOI:10.1007/s11356-015-5796-5
  69. Steinborn, A., Alder, L., Michalski, B., Zomer, P., Bendig, P., Martinez, S.A., Mol, H.G.J., Class, T.J. & Costa Pinheiro, N. (2016). Determination of Glyphosate Levels in Breast Milk Samples from Germany by LC-MS/MS and GC-MS/MS. Journal of Agricultural and Food Chemistry, 64, pp. 1414–1421. DOI:10.1021/acs.jafc.5b05852
  70. Sviridov, A. V., Shushkova, T. V., Ermakova, I.T., Ivanova, E. V., Epiktetov, D.O. & Leontievsky, A.A. (2015). Microbial degradation of glyphosate herbicides (review). Applied Biochemistry and Microbiology, 51, pp. 188–195. DOI:10.1134/S0003683815020209
  71. Tsao, Y.C., Lai, Y.C., Liu, H.C., Liu, R.H. & Lin, D.L. (2016). Simultaneous determination and quantitation of paraquat, diquat, glufosinate and glyphosate in postmortem blood and urine by LC-MS-MS. Journal of Analytical Toxicology, 40, pp. 427–436. DOI:10.1093/jat/bkw042
  72. Valle, A.L., Mello, F.C.C., Alves-Balvedi, R.P., Rodrigues, L.P. & Goulart, L.R. (2019). Glyphosate detection: methods, needs and challenges. Environmental Chemistry Letters. DOI:10.1007/s10311-018-0789-5
  73. Van Bruggen, A.H.C., He, M.M., Shin, K., Mai, V., Jeong, K.C., Finckh, M.R. & Morris, J.G. (2018). Environmental and health effects of the herbicide glyphosate. Science of the Total Environment. DOI:10.1016/j.scitotenv.2017.10.309
  74. Von Ehrenstein, O.S., Ling, C., Cui, X., Cockburn, M., Park, A.S., Yu, F., Wu, J. & Ritz, B. (2019). Prenatal and infant exposure to ambient pesticides and autism spectrum disorder in children: Population based case-control study. The BMJ, 364. DOI:10.1136/bmj.l962
  75. Yadav, P. & Zelder, F. (2021). Detection of glyphosate with a copper(ii)-pyrocatechol violet based GlyPKit. Analytical Methods, 13, pp. 4354–4360. DOI:10.1039/D1AY01168E
  76. Zhang, C., Hu, X., Luo, J., Wu, Z., Wang, L., Li, B., Wang, Y. & Sun, G. (2015). Degradation dynamics of glyphosate in different types of citrus orchard soils in China. Molecules, 20, pp. 1161–1175. DOI:10.3390/molecules20011161
  77. Zhang, H., Liu, X., Huo, Z., Sun, H., Zhang, F. & Zhu, B. (2021). An ion chromatography tandem mass spectrometry (IC-MS/MS) method for glyphosate and amino methyl phosphoric acid in serum of occupational workers. Microchemical Journal, 170. DOI:10.1016/J.MICROC.2021.106614
  78. Zoller, O., Rhyn, P., Zarn, J.A. & Dudler, V. (2020). Urine glyphosate level as a quantitative biomarker of oral exposure. International Journal of Hygiene and Environmental Health, 228, 113526. DOI:10.1016/J.IJHEH.2020.113526
  79. Zouaoui, K., Dulaurent, S., Gaulier, J., Moesch, C. & Lachâtre, G. (2013). Determination of glyphosate and AMPA in blood and urine from humans: about 13 cases of acute intoxication. Forensic Sci Int, 226. DOI:10.1016/J.FORSCIINT.2012.12.010
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Authors and Affiliations

Kumsal Kocadal
1
ORCID: ORCID
Fehmi Burak Alkas
2
ORCID: ORCID
Dilek Battal
2 3
ORCID: ORCID
Sahan Saygi
3

  1. Near East University, Faculty of Pharmacy, Department of Toxicology, Cyprus
  2. Mersin University, Faculty of Pharmacy, Department of Toxicology, Cyprus
  3. Near East University, Faculty of Pharmacy, Department of Toxicology, Turkey
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Abstract

TCE artificially contaminated soil was cleaned under anaerobic, reductive conditions. A laboratory scale treatability studies were carried out to determine optimal physico-chcmical and microbiological parameters for biorcmcdiation process. Upon treatability studies results a sewage sludge mixture was chosen as a microorganism's source. The chlorinated solvents contaminated soil bioreactor (CSCS bioreactor) was designed and built. It consists of a 6 m3 reactor vessel, a gas recirculation system, a leachate recirculation system and a data acquisition system. The bioreactor vessel was designed as a continuous gas flow packed bed reactor. During 210 days 4 Mg of soil containing approximately 350 mg TCE/kg of soil has been completely remediated under anaerobic conditions. The obtained results indicate that the stepwise dechlorination of TCE to ETH occurs in the bioreactor. Increasing amounts of chloride in the leachate were correlated with dechlorination.
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Authors and Affiliations

Adam Worsztynowicz
Dorota Rzychoń
Tomasz Siobowicz
Sebastian lwaszenko
Grażyna Płaza
Krzysztof Ulfig
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Abstract

Combine harvesters are the source a large amount of noise in agriculture. Depending on different working conditions, the noise of such machines can have a significant effect on the hearing condition of drivers. Therefore, it is highly important to study the noise signals caused by these machines and find solutions for reducing the produced noise. The present study was carried out is order to obtain the fractal dimension (FD) of the noise signals in Sampo and John Deere combine harvesters in different operational conditions. The noise signals of the combines were recorded with different engine speeds, operational conditions, gear states, and locations. Four methods of direct estimations of the FD of the waveform in the time domain with three sliding windows with lengths of 50, 100, and 200 ms were employed. The results showed that the Fractal Dimension/Sound Pressure Level [dB] in John Deere and Sampo combines varied in the ranges of 1.44/96.8 to 1.57/103.2 and 1.23/92.3 to 1.51/104.1, respectively. The cabins of Sampo and John Deere combines reduced and enhanced these amounts, respectively. With an increase in the length of the sliding windows and the engine speed of the combines, the amount of FD increased. In other words, the size of the suitable window depends on the extraction method of calculating the FD. The results also showed that the type of the gearbox used in the combines could have a tangible effect on the trend of changes in the FD.

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Authors and Affiliations

Farzad Mahdiyeh Boroujeni
Ali Maleki
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Abstract

Human activities on land have grown significantly changing the entire landscape, while most of the changes have occurred in the tropics. The change has become a serious environmental concern at the local, regional and global scales. The intensity, speed, and degree of land use / land cover (LULC) changes are nowadays quicker compared to the past because of the development of society. Moreover, the rapid increase in population resulted in disturbing a large number of landscapes on the Earth. The main objective of this study was to detect historical (1990– 2020) and predicted (2020–2050) LULC changes in the Welmel River Watershed, which is located in the Genale-Dawa Basin, South Eastern Ethiopia. The dataset of 1990, 2005, and 2020 was generated from Landsat 5, Landsat 7 and Landsat 8 respectively to determine the historical LULC map. The result of this study revealed that agriculture/ settlement increased by 6.85 km 2∙y –1, while forestland declined by 9.16 km 2∙y –1 over the last 31 years between 1990 and 2020. In the coming 31 years (by 2050), if the existing trend of the LULC change continues, agriculture/settlement land is expected to increase from 290.64 km 2 in 2020 to 492.51 km 2 in 2050 at the rate of 6.73 km 2∙y –1, while forestland is expected to shrink from 690.48 km2 in 2020 to 427.01 km 2 in 2050 by a rate of 8.78 km 2∙y –1.
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Authors and Affiliations

Solomon E. Ayalew
1
Tewodros A. Nigussie
2

  1. Ministry of Labor and Skills, Addis Ababa, Ethiopia
  2. Hawassa University, Institute of Technology, Hawassa, Ethiopia
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Abstract

In the current smart tech world, there is an immense need of automating tasks and processes to avoid human intervention, save time and energy. Nowadays, mobile phones have become one of the essential things for human beings either to call someone, connect to the internet, while driving people need mobile phones to receive or make a call, use google maps to know the routes and many more. Normally in cars, mobile holders are placed on the dashboard to hold the mobile and the orientation of the phone needs to be changed according to the driver's convenience manually, but the driver may distract from driving while trying to access mobile phone which may lead to accidents. To solve this problem, an auto adjustable mobile holder is designed in such a way that it rotates according to the movement of the driver and also it can even alert the driver when he feels drowsiness. Image Processing is used to detect the movement of the driver which is then processed using LabVIEW software and NI myRIO hardware. NI Vision development module is used to perform face recognition and servo motors are used to rotate the holder in the required position. Simulation results show that the proposed system has achieved maximum accuracy in detecting faces, drowsiness and finding the position coordinates.
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Authors and Affiliations

Srilatha Madhunala
1
Bhavya Kanneti
1
Priya Anathula
1

  1. Department of ECE, Vardhaman College of Engineering, India
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Abstract

The purpose of servitization is to provide new business opportunities mainly to manufacturing companies. Companies strive to develop new services through utilizing servitization models, which are required to be applicable in several servitization scenarios. The main objective of this study is to propose a servitization model, known as “end-to-end servitization model” suitable for servitization purposes in companies. The model was developed based on several validated and commonly utilized service design models. Moreover, testing the validity of the model was implemented with the usability survey (usefulness, ease to use, easy of learning and satisfaction) with the Master’s level students, while they were developing new services by utilizing the proposed model. The results of this study indicate that the proposed servitization model can be utilized in different organizations to provide new services. Furthermore, the model can be concluded as useful, easy to use, easy to learn and it is at a satisfactory level based on the empirical evidence.
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Authors and Affiliations

Ari Sivula
1 2
Ahm Shamsuzzoha
2
Emmanuel Ndzibah
2
Binod Timilsina
2

  1. Seinäjoki University of Applied Sciences, Finland
  2. University of Vaasa, School of Technology and Innovations, Finland
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Abstract

This paper presents the results of investigation on polycyclic aromatic hydrocarbons (PAHs) concentration in sludge coming from industrial wastewater treatment. The sludge was characterised according to chemical composition and heavy metal contents. Leaching of PAHs from sludge in dynamic conditions was also done with lizymetric columns used to simulate the real conditions during the storage of wastes. The changes or PAHs concentration in sludge stored under various lights conditions were also compared (daylight and darkness). A periodic extraction method with cyclohexane was used to select PAHs from samples. High performance liquid chromatography (HPLC) with fluorescent detector was used to analyse PAHs. Six PAHs listed by WHO were analysed (fluoranthene Fl, benzo(b)fluoranthene BbF, benzo(k)fluoranthene BkF, benzo(a)pyrene BaP, benzo(ghi)perylene BghiP and indeno(l ,2,3-cd)pyrene IP).
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Authors and Affiliations

Agnieszka Popenda
Maria Włodarczyk-Makuła
Marta Janosz-Rajczyk
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Abstract

The subject of the numerical investigation is an ellipsoidal head with a central (axis-symmetrical) nozzle. The nozzle is loaded by axial load force. The ellipsoidal head is under axial-symmetrical compression load. The numerical FEM model is elaborated. The calculation will provide the critical loads and equilibrium paths for the sample head.. The investigation will measure the influence of the diameter of the nozzle on the critical state of the ellipsoidal head.

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Authors and Affiliations

P. Jasion
K. Magnucki

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