Evaluation of wastewater treatment efficiency for emerging contaminants for non-target screening by liquid chromatography with tandem mass spectrometry
https://doi.org/10.47470/0016-9900-2025-104-11-1533-1538
EDN: jsunga
Abstract
Introduction. Modern environmental monitoring requires effective methods for detecting and identifying new potentially hazardous anthropogenic contaminants, especially those not subject to standard control. High-performance liquid chromatography with tandem mass spectrometry (HPLC-MS/MS) is a promising tool for non-target screening of micropollutants in aquatic environments.
Materials and methods. A non-target screening approach using HPLC-MS/MS was applied. This involved recording mass spectra of major components in water samples (wastewater before and after treatment, drinking water) followed by comparison of experimental fragmentation spectra with reference databases (MassBank, NIST) using spectral similarity algorithms.
Results. The non-target screening method using HPLC-MS/MS enabled the detection and tentative identification of six organic compounds in wastewater samples with varying degrees of resistance to treatment. Caprolactam and 3-cyclohexyl-1,1-dimethylurea were found to be the most persistent, with removal efficiencies of 40% and 31%, respectively, indicating their high resistance to standard water treatment technologies. Other identified compounds, including lauryldiethanolamide, demonstrated removal efficiencies ranging from 93% to 98%. Identification was confirmed by matching experimental fragmentation spectra with MassBank and NIST databases. Probable sources of formation and discharge of these contaminants, along with associated environmental risks, were established.
Limitations. Final confirmation of identity and accurate quantification requires additional targeted analysis using certified reference standards.
Conclusion. The presented non-target screening approach based on liquid chromatography with tandem mass spectrometry proved effective for detecting and tentatively identifying new potentially hazardous anthropogenic contaminants in various water samples. A key result of this work was the identification of two persistent organic compounds in wastewater – caprolactam and 3-cyclohexyl-1,1-dimethylurea – which exhibited the lowest removal efficiency.
Compliance with ethical standards. The study does not require the conclusion of the Biomedical Ethics Committee.
Contribution:
Streletskiy A.V. — the concept and design of the study, experimental work, collection and processing of material, statistical processing, writing a text;
Filimonova E.I — experimental work, collection and processing of material.
All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.
Conflict of interest. The authors declare no conflict of interest.
Funding. The work was completed within the framework of the state task (“Monitoring”, “Chemical Indicators 25-27”).
Received: August 15, 2025 / Accepted: November 3, 2025 / Published: December 19, 2025
About the Authors
Alexey V. StreletskiyRussian Federation
PhD (Chemistry), senior researcher, Department of physico-chemical research and ecotoxicology, Center for Strategic Planning of the Federal medical and biological agency, Moscow, 119121, Russia
e-mail: AStreletsky@cspfmba.ru
Ekaterina I. Filimonova
Russian Federation
Chemist, Department of physico-chemical research and ecotoxicology, Center for Strategic Planning of the Federal medical and biological agency, Moscow, 119121, Russian Federation
e-mail: EFilimonova@cspfmba.ru
References
1. Bester K. Quantification with HPLC-MS/MS for environmental issues: quality assurance and quality assessment. Anal. Bioanal. Chem. 2008; 391(1): 15–20. https://doi.org/10.1007/s00216-008-1991-2
2. Gladilovich V.D., Podolskaya E.P. Applications of the method GC-MS. Nauchnoe priborostroenie. 2010; 20(4): 36–49. https://elibrary.ru/mzizkt (in Russian)
3. Stachniuk A., Fornal E. Liquid chromatography-mass spectrometry in the analysis of pesticide residues in food. Food Anal. Methods. 2016; 9(6): 1654–65. https://doi.org/10.1007/s12161-015-0342-0
4. Amelin V.G., Andoralov A.M. High-performance liquid chromatography–time-of-flight mass spectrometry in the identification and determination of 111 pesticides in food, feed, water, and soil. J. Anal. Chem. 2016; 71(1): 82–93. https://doi.org/10.1134/S1061934815120035 https://elibrary.ru/wrgfjf
5. Parys W., Dołowy M., Pyka-Pająk A. Significance of chromatographic techniques in pharmaceutical analysis. Processes. 2022; 10(1): 172. https://doi.org/10.3390/pr10010172
6. Shen Y., Wang L., Ding Y., Liu S., Li Y., Zhou Z., et al. Trends in the analysis and exploration of per- and Polyfluoroalkyl Substances (PFAS) in environmental matrices: a review. Crit. Rev. Anal. Chem. 2024; 54(8): 3171–95. https://doi.org/10.1080/10408347.2023.2231535
7. Russkikh Ya.V., Chernova E.N., Voyakina E.Yu., Nikiforov V.V., Zhakovskaya Z.A. Determination of cyanotoxins in an aqueous matrix by high-performance liquid chromatography – high-resolution mass spectrometry. Izvestiya Sankt-Peterburgskogo gosudarstvennogo tekhnologicheskogo instituta (Tekhnicheskogo Universiteta). 2012; (17): 061–6. https://elibrary.ru/pkzfep (in Russian)
8. Savelieva E.I., Leninskiy M.A., Vasilieva I.A. Modern analytical approaches for chemical safety control – a review. Khimicheskaya bezopasnost‘. 2020; 4(1): 8–30. https://doi.org/10.25514/CHS.2020.1.17001 https://elibrary.ru/ighebr (in Russian)
9. Ramon D., Ibáñez M., Sancho J.V., Hernández F. Target and non-target screening strategies for organic contaminants, residues and illicit substances in food, environmental and human biological samples by UHPLC-QTOF-MS. Anal. Methods. 2012; 4(1): 196–209.
10. Milman B.L., Zhurkovich I.K. Present-day practice of non-target chemical analysis. J. Anal. Chem. 2022; 77(5): 537–49. https://doi.org/10.1134/S1061934822050070 https://elibrary.ru/qlsugm
11. NIST 23 Mass Spectral Library, NIST 2023/2020/2017 Database. Agilent Format Available. Available at: https://sisweb.com/software/ms/nist.htm
12. mzCloud – Advanced Mass Spectral Database. Available at: https://mzcloud.org/
13. MassBank consortium and its contributors. MassBank/MassBank-data: Release version 2025.05.1. Zenodo; 2025.
14. Makarov A. Orbitrap mass spectrometry: achievements and outlook. Analitika. 2013; (5): 30–6. https://elibrary.ru/reavnt (in Russian)
15. Lai Y.H., Wang Y.S. Advances in high-resolution mass spectrometry techniques for analysis of high mass-to-charge ions. Mass. Spectrom. Rev. 2023; 42(6): 2426–45. https://doi.org/10.1002/mas.21790
16. Hoang C., Uritboonthai W., Hoang L., Billings E.M., Aisporna A., Nia F.A., et al. Tandem mass spectrometry across platforms. Anal. Chem. 2024; 96(14): 5478–88. https://doi.org/10.1021/acs.analchem.3c05576
17. Rakusanova S., Cajka T. Tips and tricks for LC–MS-based metabolomics and lipidomics analysis. TrAC Trends Anal. Chem. 2024; 180: 117940. https://doi.org/10.1016/j.trac.2024.117940
18. Kind T., Tsugawa H., Cajka T., Ma Y., Lai Z., Mehta S.S., et al. Identification of small molecules using accurate mass MS/MS search. Mass. Spectrom. Rev. 2018; 37(4): 513–32. https://doi.org/10.1002/mas.21535
19. Sheftel V.O. Toxicology of caprolactam – water and food pollutant (review). Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 1990; 69(10): 33–4. (in Russian)
20. Seiwert B., Klöckner P., Wagner S., Reemtsma T. Source-related smart suspect screening in the aqueous environment: search for tire-derived persistent and mobile trace organic contaminants in surface waters. Anal. Bioanal. Chem. 2020; 412(20): 4909–19. https://doi.org/10.1007/s00216-020-02653-1
21. De Hoogh C.J., Wagenvoort A.J., Jonker F., Van Leerdam J.A., Hogenboom A.C. HPLC-DAD and Q-TOF MS techniques identify cause of Daphnia biomonitor alarms in the River Meuse. Environ. Sci. Technol. 2006; 40(8): 2678–85. https://doi.org/10.1021/es052035a
22. Benfenati E., Porazzi E., Bagnati R., Forner F., Pardo Martinez M., Mariani G., et al. Organic tracers identification as a convenient strategy in industrial landfills monitoring. Chemosphere. 2003; 51(8): 677–83. https://doi.org/10.1016/S0045-6535(03)00050-X
23. Shi Z.Q., Liu Y.S., Xiong Q., Cai W.W., Ying G.G. Occurrence, toxicity and transformation of six typical benzotriazoles in the environment: A review. Sci. Total. Environ. 2019; 661: 407–21. https://doi.org/10.1016/j.scitotenv.2019.01.138
24. Rani R., Kumar D. Recent advances in degradation of N,N-diethyl-3-toluamide (DEET)-an emerging environmental contaminant: a review. Environ. Monit. Assess. 2024; 196(3): 238. https://doi.org/10.1007/s10661-024-12414-7
25. Arvaniti O., Georgios G., Nika M.C., Gyparakis S., Manios T., Thomaidis N.S., et al. Study on the occurrence of artificial sweeteners, parabens, and other emerging contaminants in hospital wastewater using LC-QToF-MS target screening approach. Water. 2023; 15(5): 936. https://doi.org/10.3390/w15050936
26. Xu J., Hao Y., Yang Z., Li W., Xie W., Huang Y., et al. Rubber antioxidants and their transformation products: environmental occurrence and potential impact. Int. J. Environ. Res. Public Health. 2022; 19(21):14595. https://doi.org/10.3390/ijerph192114595
Review
For citations:
Streletskiy A.V., Filimonova E.I. Evaluation of wastewater treatment efficiency for emerging contaminants for non-target screening by liquid chromatography with tandem mass spectrometry. Hygiene and Sanitation. 2025;104(11):1533-1538. (In Russ.) https://doi.org/10.47470/0016-9900-2025-104-11-1533-1538. EDN: jsunga

































