Methodological approaches to sample preparation for xenobiotic content analysis

Nataliia Tereshchenko, Olena Khyzhan, Kateryna Nesterova
Abstract

The aim of the article was to improve sample preparation protocols and chromatographic analysis conditions for the determination of selected xenobiotics in agricultural products. To achieve this goal, a method of artificial fortification of homogenised samples of sunflower seeds, corn kernels, lettuce leaves, and apples with model xenobiotics of different classes was used, followed by extraction with organic solvents using a modified QuEChERS approach and quantitative analysis. For the effective extraction of acetochlor and prometryn from lettuce leaves and apples, which are characterised by a high water content, an optimal raw material-to-extractant ratio of 1:3-1:5 was found. In the case of corn kernels, which have a structure containing a negligible amount of lipids, the extraction was performed with a ratio of 1:10. The greatest difficulties were observed during the processing of sunflower seeds, where a three-phase system formed due to the high fat content, complicating the mass transfer of analytes. Nevertheless, the use of acetonitrile as an extractant in a 1:17-1:20 ratio allowed for high extraction rates of the target xenobiotics to be achieved. For the extraction of benomyl and cyprodinil, a mixture of acetonitrile and methanol in a 4:1 ratio was used, which ensured effective transfer of the specified analytes in all studied matrices. Specifically, in lettuce and apple samples, the extraction rates for both substances exceeded 96%, which indicated good solubility in the mixture used and a low matrix effect. For diquat, a bipyridylium compound with a pronounced ionic nature, the best results were obtained using a solution of trifluoroacetic acid in methanol in a 9.5:0.5 ratio. This composition ensured stable extraction from all types of plant matrices, with maximum values in lettuce samples and minimum values in sunflower seeds (86%), which still meets modern requirements for analytical accuracy. In the case of corn kernel samples, the extraction level for all substances was 88-92%, which indicated satisfactory extractability in cereal matrices. The lowest extraction values were recorded for sunflower seeds; however, even under these conditions, the extraction remained within the 80-86% range, which is acceptable according to international standards for pesticide analysis quality control. The results of the chromatographic analysis confirmed the high reproducibility and sensitivity of the method

Keywords

high-performance liquid chromatography; gas chromatography with mass-selective detectors; extracts; pesticides; plant extracts

Suggested citation
Tereshchenko, N., Khyzhan, O., & Nesterova, K. (2025). Methodological approaches to sample preparation for xenobiotic content analysis. Plant and Soil Science, 16(3), 9-21. https://doi.org/10.31548/plant3.2025.09
References
  1. Aralimarad, P., et al. (2025). Validation and multiresidue analysis of pesticides in seed, oil and cake of groundnut using triple quadrupole LC-MS/MS along with uncertainty analysis and risk assessment. Microchemical Journal, 209, article number 112516. doi: 10.1016/j.microc.2024.112516.
  2. Arnold, M., & Gramza-Michalowska, A. (2023). Recent development on the chemical composition and phenolic extraction methods of apple (Malus domestica) – a review. Food and Bioprocess Technology, 17, 2519-2560. doi: 10.1007/s11947-023-03208-9.
  3. Casado, N., Morante-Zarcero, S., & Sierra, I. (2022). Application of the QuEChERS strategy as a useful sample preparation tool for the multiresidue determination of pyrrolizidine alkaloids in food and feed samples: A critical overview. Applied Sciences, 12(9), article number 4325. doi: 10.3390/app12094325.
  4. Dong, Y., Yao, X., Zhang, W., & Wu, X. (2023). Development of simultaneous determination method of pesticide high toxic metabolite 3,4-dichloroaniline and 3,5 dichloroaniline in chives using HPLC-MS/MS. Foods, 12(15), article number 2875. doi: 10.3390/foods12152875.
  5. DSTU EN 15662:2023. (2024). Foods of plant origin. Multimethod for the determination of pesticide residues using GC- and LC-based analysis following acetonitrile extraction/partitioning and clean-up by dispersive SPE. Modular QuEChERS-method (EN 15662:2018, IDT). Retrieved from https://online.budstandart.com/ua/catalog/doc-page.html?id_doc=105080.
  6. European Parliament & Council of the European Union. (2005). Regulation (EC) No 396/2005 of the European Parliament and of the Council of 23 February 2005 on maximum residue levels of pesticides in or on food and feed of plant and animal origin and amending Council Directive 91/414/EEC. Retrieved from https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=celex%3A32005R0396.
  7. Garud, A., Pawar, S., Patil, M.S., Kale, S.R., & Patil, S. (2024). A scientific review of pesticides: Classification, toxicity, health effects, sustainability, and environmental impact. Cureus, 16(8), article number e67945. doi: 10.7759/cureus.67945.
  8. Goel, V., Pandey, D., & Shukla, S. (2025). Developments toward analysis of pesticides at residue levels among high chlorophyll containing edible leafy plants – sampling, QuEChERS and LC-MS/MS based analysis. Journal of Pharmaceutical and Biomedical Analysis Open, 5, article number 100062. doi: 10.1016/j.jpbao.2025.100062.
  9. Guidance Document on Pesticide Analytical Methods for Risk Assessment and Post-approval Control and Monitoring Purposes. (2021, February). Retrieved from https://food.ec.europa.eu/document/download/022e0538-7fcd-4fa3-8b99-f3ba2afc4c3d_en?filename=pesticides_ppp_app-proc_guide_res_mrl-guidelines-2020-12830.pdf.
  10. Kang, S.-M., Won, J.-H., Han, J.-E., Kim, J.-H., Kim, K.-H., Jeong, H.-I., & Sung, S.-H. (2023). Chromatographic method for monitoring of pesticide residues and risk assessment for herbal decoctions used in traditional Korean medicine clinics. Molecules, 28(8), article number 3343. doi: 10.3390/molecules28083343.
  11. Korshun, O.M. (2024). Simultaneous determination of active pesticide ingredients by high-performance liquid chromatography in their combined presence in environmental objects. Medical and Clinical Chemistry, 4, 21-29. doi: 10.11603/mcch.2410-681x.2023.i4.14369.
  12. Lan, F., Wang, X., Wang, X., Ruan, Y., Ding, L., Liu, D., Zhang, T., & Wang, J. (2024). Simultaneous determination of four fungicide residues in figs using liquid chromatography tandem mass spectrometry. Biomedical Chromatography, 38(9), article number e5935. doi: 10.1002/bmc.5935.
  13. Li, Z., Xiang, F., Huang, X., Liang, M., Ma, S., Gafurov, K., Gu, F., Guo, Q., & Wang, Q. (2024). Properties and characterization of sunflower seeds from different varieties of edible and oil sunflower seeds. Foods, 13(8), article number 1188. doi: 10.3390/foods13081188.
  14. Liu, M., et al. (2023). Determination and risk assessment of 31 pesticide residues in apples from China's major production regions. Journal of Food Composition and Analysis, 118, article number 105188. doi: 10.1016/j.jfca.2023.105188.
  15. Order of the Ministry of Agrarian Policy and Food of Ukraine No. 289 “On Approval of Sampling Methods for Determining Maximum Permissible Levels of Pesticide Residues in Products of Plant and Animal Origin for the Purposes of State Control”. (2018, July). Retrieved from https://zakon.rada.gov.ua/laws/show/z0857-18#Text.
  16. Patel, N.G., Dhale, D.A., & Rathod, M.C. (2024). Analysis of pesticide residue in fruit using the QuEChERS method coupled with LC-MS/MS detection. Current Agriculture Research Journal, 12(2), 865-872. doi: 10.12944/carj.12.2.29.
  17. Perumal, S., Kottadiyil, D., Thasale, R., & Mehta, T. (2024). Optimization of QuEChERS method for determination of pesticide residues in vegetables and health risk assessment. Environmental Science and Pollution Research, 31, 34355-34367. doi: 10.1007/s11356-024-33345-3.
  18. Petrović, S., Arsić, B., Zlatanović, I., Milićević, J., Glišić, S., Mitić, M., Đurović-Pejčev, R., & Stojanović, G. (2023). In silico investigation of selected pesticides and their determination in agricultural products using QuEChERS methodology and HPLC-DAD. International Journal of Molecular Sciences, 24(9), article number 8003. doi: 10.3390/ijms24098003.
  19. Poole, C.F. (2023). Selectivity evaluation of extraction systems. Journal of Chromatography A, 1695, article number 463939. doi: 10.1016/j.chroma.2023.463939.
  20. Pszczolińska, K., Barchańska, H., & Lalek, D. (2024). Comprehensive multiresidue chromatographic methods for monitoring pesticides in agricultural areas and corresponding plant protection zones. Environmental Pollution, 344, article number 123422. doi: 10.1016/j.envpol.2024.123422.
  21. Pszczolińska, K., Shakeel, N., & Barchanska, H. (2022). A simple approach for pesticide residues determination in green vegetables based on QuEChERS and gas chromatography tandem mass spectrometry. Journal of Food Composition and Analysis, 114, article number 104783. doi: 10.1016/j.jfca.2022.104783.
  22. Salnikova, A., & Salnikov, S. (2021). Accumulation of pesticide residual amounts in agricultural soils. Biological Systems: Theory and Innovation, 12(4), 43-53. doi: 10.31548/biologiya2021.04.004.
  23. Santana-Mayor, A., Rodríguez-Ramos, R., Herrera-Herrera, A.V., Socas-Rodríguez, B., & Rodríguez-Delgado, M.A. (2023). Updated overview of QuEChERS applications in food, environmental and biological analysis (2020-2023). TrAC Trends in Analytical Chemistry, 169, article number 117375. doi: 10.1016/j.trac.2023.117375.
  24. State Sanitary and Epidemiological Rules and Norms (DSanPiN) 8.8.1.2.3.4-000-2001. (2001). Permissible doses, concentrations, amounts, and levels of pesticide residues in agricultural raw materials, food products, air, water, and soil. Retrieved from https://zakon.rada.gov.ua/rada/show/v0137588-01#Text.
  25. The European Food Safety Authority (EFSA). (n.d.). Guidance and other assessment methodology documents. Retrieved from https://www.efsa.europa.eu/en/methodology/guidance.
  26. Theurillat, X., Dubois, M., & Huertas-Pérez, J.F. (2021). A multi-residue pesticide determination in fatty food commodities by modified QuEChERS approach and gas chromatography-tandem mass spectrometry. Food Chemistry, 353, article number 129039. doi: 10.1016/j.foodchem.2021.129039.
  27. Tong, K., Xie, Y., Huang, S., Liu, Y., Wu, X., Fan, C., Chen, H., Lu, M., & Wang, W. (2022). QuEChERS method combined with gas- and liquid-chromatography high resolution mass spectrometry to screen and confirm 237 pesticides and metabolites in cottonseed hull. Separations, 9(4), article number 91. doi: 10.3390/separations9040091.
  28. Veiga-del-Baño, J.M., Andreo-Martínez, P., Pérez-Lucas, G., & Navarro, S. (2024). Overview of the evolution and trends of the QuEChERS sample preparation procedure. Reviews of Environmental Contamination and Toxicology, 262, article number 22. doi: 10.1007/s44169-024-00073-1.
  29. Velkoska-Markovska, L., Ilievski, U., Jankulovska, M.S., & Petanovska-Ilievska, B. (2024). Development and validation of RP-HPLC method for determination of some pesticide residues in apple samples. Acta Chromatographica, ahead of print. doi: 10.1556/1326.2024.01303.
  30. Yun, D.-Y., Bae, J.-Y., Kang, Y.-J., Lim, C.-U., Jang, G.-H., Eom, M.-O., & Choe, W.-J. (2024). Simultaneous analysis of 272 pesticides in agricultural products by the QuEChERS method and gas chromatography with tandem mass spectrometry. Molecules, 29(9), article number 2114. doi: 10.3390/molecules29092114.