Monitoring Environmental Glyphosate in Northeastern Romania and Its Cytotoxic Impact on Human Fibroblasts
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Area and Sampling Sites
2.2. Chemicals, Reagents, and Equipment
2.3. Quantitative Analysis of Glyphosate by Spectrophotometric Method Coupled with Confirmatory Determination by UHPLC-MS/MS
2.3.1. Sample Collection and Preparation
2.3.2. Preparation of Stock Solutions and Reagents
2.3.3. Derivatization Procedure and Spectrophotometric Analysis
2.3.4. Confirmatory UHPLC-MS/MS Method for Glyphosate Qualitative Analysis
2.4. In Vitro Cytotoxicity Assessment
3. Results
3.1. Quantitative Determination of Glyphosate
3.1.1. Linearity
3.1.2. Limit of Detection and Quantification
3.1.3. Precision of the Analytical Method
3.1.4. Glyphosate Concentrations in Water Samples
3.1.5. Glyphosate Quantification in Soil Samples
3.1.6. pH of Soil Extraction Solutions
3.1.7. UHPLC-MS/MS Method for Glyphosate Confirmation
3.2. In Vitro Cytotoxicity Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Botnaru, A.A.; Lupu, A.; Morariu, P.C.; Nedelcu, A.H.; Morariu, B.A.; Di Gioia, M.L.; Lupu, V.V.; Dragostin, O.M.; Caba, I.-C.; Anton, E.; et al. Innovative Analytical Approaches for Food Pesticide Residue Detection: Towards One Health-Oriented Risk Monitoring. J. Xenobiot. 2025, 15, 151. [Google Scholar] [CrossRef] [PubMed]
- Dhuldhaj, U.P.; Singh, R.; Singh, V.K. Pesticide Contamination in Agro-Ecosystems: Toxicity, Impacts, and Bio-Based Management Strategies. Environ. Sci. Pollut. Res. 2022, 30, 9243–9270. [Google Scholar] [CrossRef] [PubMed]
- González-Cruz, A.D.; Anaya-Esparza, L.M.; Valenzuela-Chavira, I.; Martínez-Esquivias, F.; Ruvalcaba-Gómez, J.M.; Silva-Jara, J.M.; Velázquez-Carriles, C.A.; Balderas-León, I.; Arteaga-Garibay, R.I.; Villagrán, Z. Extraction, Detection, and Quantification Methods for Analyzing Glyphosate and AMPA in Foods: Challenges and Opportunities. Appl. Sci. 2025, 15, 6979. [Google Scholar] [CrossRef]
- Rivas-Garcia, T.; Espinosa-Calderón, A.; Hernández-Vázquez, B.; Schwentesius-Rindermann, R. Overview of Environmental and Health Effects Related to Glyphosate Usage. Sustainability 2022, 14, 6868. [Google Scholar] [CrossRef]
- Bou-Mitri, C.; Dagher, S.; Makkawi, A.; Khreyss, Z.; Hassan, H.F. Glyphosate in Food: A Narrative Review. J. Agric. Food Res. 2025, 19, 101643. [Google Scholar] [CrossRef]
- Stone, A.M.; Camp, O.G.; Biernat, M.M.; Bai, D.; Awonuga, A.O.; Abu-Soud, H.M. Re-Evaluating the Use of Glyphosate-Based Herbicides: Implications on Fertility. Reprod. Sci. 2025, 32, 950–964. [Google Scholar] [CrossRef]
- Chianese, T.; Trinchese, G.; Leandri, R.; De Falco, M.; Mollica, M.P.; Scudiero, R.; Rosati, L. Glyphosate Exposure Induces Cytotoxicity, Mitochondrial Dysfunction and Activation of ERα and ERβ Estrogen Receptors in Human Prostate PNT1A Cells. Int. J. Mol. Sci. 2024, 25, 7039. [Google Scholar] [CrossRef] [PubMed]
- Makame, K.R.; Masese, S.N.; Ádám, B.; Nagy, K. Oxidative Stress and Cytotoxicity Induced by Co-Formulants of Glyphosate-Based Herbicides in Human Mononuclear White Blood Cells. Toxics 2023, 11, 976. [Google Scholar] [CrossRef]
- Galli, F.S.; Mollari, M.; Tassinari, V.; Alimonti, C.; Ubaldi, A.; Cuva, C.; Marcoccia, D. Overview of Human Health Effects Related to Glyphosate Exposure. Front. Toxicol. 2024, 6, 1474792. [Google Scholar] [CrossRef]
- da Cunha Ignácio, A.; dos Reis Guerra, A.M.; de Souza-Silva, T.G.; do Carmo, M.A.V.; de Almeida Paula, H.A. Effects of Glyphosate Exposure on Intestinal Microbiota, Metabolism and Microstructure: A Systematic Review. Food Funct. 2024, 15, 7757–7781. [Google Scholar] [CrossRef]
- Defarge, N.; Takács, E.; Lozano, V.; Mesnage, R.; Spiroux de Vendômois, J.; Séralini, G.-E.; Székács, A. Co-Formulants in Glyphosate-Based Herbicides Disrupt Aromatase Activity in Human Cells below Toxic Levels. Int. J. Environ. Res. Public Health 2016, 13, 264. [Google Scholar] [CrossRef]
- Klátyik, S.; Simon, G.; Takács, E.; Oláh, M.; Zaller, J.G.; Antoniou, M.N.; Benbrook, C.; Mesnage, R.; Székács, A. Toxicological Concerns Regarding Glyphosate, Its Formulations, and Co-Formulants as Environmental Pollutants: A Review of Published Studies from 2010 to 2025. Arch. Toxicol. 2025, 99, 3169–3203. [Google Scholar] [CrossRef] [PubMed]
- Ferrante, M.; Rapisarda, P.; Grasso, A.; Favara, C.; Oliveri Conti, G. Glyphosate and Environmental Toxicity with “One Health” Approach, a Review. Environ. Res. 2023, 235, 1474792. [Google Scholar] [CrossRef] [PubMed]
- Leite, S.; Franco De Diana, D.; Segovia Abreu, J.; Avalos, D.; Denis, M.; Ovelar, C.; Samaniego Royg, M.; Thielmann Arbo, B.; Corvalan, R. DNA Damage Induced by Exposure to Pesticides in Children of Rural Areas in Paraguay. Indian J. Med. Res. 2019, 150, 290–296. [Google Scholar] [CrossRef] [PubMed]
- Caba, I.-C.; Ștreangă, V.; Dobrin, M.-E.; Jităreanu, C.; Jităreanu, A.; Profire, B.-Ș.; Apotrosoaei, M.; Focșa, A.-V.; Caba, B.; Agoroaei, L. Clinical Assessment of Acute Organophosphorus Pesticide Poisoning in Pediatric Patients Admitted to the Toxicology Emergency Department. Toxics 2022, 10, 582. [Google Scholar] [CrossRef]
- Martin, P.J.; He, K.; Blaney, L.; Hobbs, S.R. Advanced Liquid Chromatography with Tandem Mass Spectrometry Method for Quantifying Glyphosate, Glufosinate, and Aminomethylphosphonic Acid Using Pre-Column Derivatization. ACS ES&T Water 2023, 3, 2407–2414. [Google Scholar] [CrossRef]
- Carretta, L.; Cardinali, A.; Marotta, E.; Zanin, G.; Masin, R. A New Rapid Procedure for Simultaneous Determination of Glyphosate and AMPA in Water at Sub Μg/L Level. J. Chromatogr. A 2019, 1600, 65–72. [Google Scholar] [CrossRef]
- Fontàs, C.; Sanchez, J.M. Evaluation and Optimization of the Derivatization Reaction Conditions of Glyphosate and Aminomethylphosphonic Acid with 6-Aminoquinolyl-N-Hydroxysuccinimidyl Carbamate Using Reversed-Phase Liquid Chromatography. J. Sep. Sci. 2020, 43, 3931–3939. [Google Scholar] [CrossRef]
- Wang, K.C.; Chen, S.M.; Hsu, J.F.; Cheng, S.G.; Lee, C.K. Simultaneous Detection and Quantitation of Highly Water-Soluble Herbicides in Serum Using Ion-Pair Liquid Chromatography-Tandem Mass Spectrometry. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2008, 876, 211–218. [Google Scholar] [CrossRef]
- Jaikwang, P.; Junkuy, A.; Sapbamrer, R.; Seesen, M.; Khacha-ananda, S.; Mueangkhiao, P.; Wunnapuk, K. A Dilute-and-Shoot LC–MS/MS Method for Urinary Glyphosate and AMPA. Chromatographia 2020, 83, 467–475. [Google Scholar] [CrossRef]
- Tsao, Y.C.; Lai, Y.C.; Liu, H.C.; Liu, R.H.; Lin, D.L. Simultaneous Determination and Quantitation of Paraquat, Diquat, Glufosinate and Glyphosate in Postmortem Blood and Urine by LC-MS-MS. J. Anal. Toxicol. 2016, 40, 427–436. [Google Scholar] [CrossRef]
- Nørskov, N.P.; Jensen, S.K.; Sørensen, M.T. Robust and Highly Sensitive Micro Liquid Chromatography–Tandem Mass Spectrometry Method for Analyses of Polar Pesticides (Glyphosate, Aminomethylphosfonic Acid, N-Acetyl Glyphosate and N-Acetyl Aminomethylphosfonic Acid) in Multiple Biological Matrices. J. Chromatogr. A 2019, 1605, 360343. [Google Scholar] [CrossRef] [PubMed]
- Pawlak, R.; Wooten, A.; Selim, M.; Kew, K. Reassuring Quantitative Analysis of Glyphosate and Aminomethylphosphonic Acid Levels in Breast Milk Using Liquid Chromatography Mass Spectrometry. Breastfeed. Med. 2024, 19, 742–745. [Google Scholar] [CrossRef]
- Battaglin, W.A.; Meyer, M.T.; Kuivila, K.M.; Dietze, J.E. Glyphosate and Its Degradation Product AMPA Occur Frequently and Widely in U.S. Soils, Surface Water, Groundwater, and Precipitation. J. Am. Water Resour. Assoc. 2014, 50, 275–290. [Google Scholar] [CrossRef]
- Vlassa, M.; Filip, M.; Coman, V.; Pănescu, V.; Herghelegiu, C.; Beldean-Galea, S. Glyphosate and Aminomethylphosphonic Acid Levels in Water and Soil Samples from Transylvanian Roma Community Analyzed by HPLC-FLD Method. Stud. Univ. Babeș-Bolyai Chem. 2022, 67, 273–285. [Google Scholar] [CrossRef]
- Lacroix, R.; Kurrasch, D.M. Glyphosate Toxicity: In Vivo, in Vitro, and Epidemiological Evidence. Toxicol. Sci. 2023, 192, 131–140. [Google Scholar] [CrossRef]
- Zhang, Y.; Yan, Y.; Dai, Q.; Shi, Z.; Zhou, H.; Hu, Z. Residue Characteristics and Ecological Risks of Glyphosate and Aminomethylphosphonic Acid in a Karst Watershed: A Case Study of the Yangmei River Sub-Basin. Agronomy 2025, 15, 2636. [Google Scholar] [CrossRef]
- Connolly, A.; Koslitz, S.; Bury, D.; Brüning, T.; Conrad, A.; Kolossa-Gehring, M.; Coggins, M.A.; Koch, H.M. Sensitive and Selective Quantification of Glyphosate and Aminomethylphosphonic Acid (AMPA) in Urine of the General Population by Gas Chromatography-Tandem Mass Spectrometry. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2020, 1158, 122348. [Google Scholar] [CrossRef] [PubMed]
- Nova, P.; Calheiros, C.S.C.; Silva, M. Glyphosate in Portuguese Adults—A Pilot Study. Environ. Toxicol. Pharmacol. 2020, 80, 103462. [Google Scholar] [CrossRef]
- Zhang, F.; Xu, Y.; Liu, X.; Pan, L.; Ding, E.; Dou, J.; Zhu, B. Concentration Distribution and Analysis of Urinary Glyphosate and Its Metabolites in Occupationally Exposed Workers in Eastern China. Int. J. Environ. Res. Public Health 2020, 17, 2943. [Google Scholar] [CrossRef] [PubMed]
- Ayoola, R.T.; Olujimi, O.O.; Bada, B.S.; Dedeke, G.A. Seasonal Variations in the Levels of Glyphosate in Soil, Water and Crops from Three Farm Settlements in Oyo State, Nigeria. Heliyon 2023, 9, e20324. [Google Scholar] [CrossRef] [PubMed]
- Cruz, J.M.; Murray, J.A. Determination of Glyphosate and AMPA in Oat Products for the Selection of Candidate Reference Materials. Food Chem. 2021, 342, 128213. [Google Scholar] [CrossRef]
- Kolakowski, B.M.; Miller, L.; Murray, A.; Leclair, A.; Bietlot, H.; Van De Riet, J.M. Analysis of Glyphosate Residues in Foods from the Canadian Retail Markets between 2015 and 2017. J. Agric. Food Chem. 2020, 68, 5201–5211. [Google Scholar] [CrossRef]
- Mazuryk, J.; Klepacka, K.; Kutner, W.; Sharma, P.S. Glyphosate: Hepatotoxicity, Nephrotoxicity, Hemotoxicity, Carcinogenicity, and Clinical Cases of Endocrine, Reproductive, Cardiovascular, and Pulmonary System Intoxication. ACS Pharmacol. Transl. Sci. 2024, 7, 1205–1236. [Google Scholar] [CrossRef]
- Metcalfe, H.; Storkey, J.; Hull, R.; Bullock, J.M.; Whitmore, A.; Sharp, R.T.; Milne, A.E. Trade-Offs Constrain the Success of Glyphosate-Free Farming. Sci. Rep. 2024, 14, 8001. [Google Scholar] [CrossRef]
- Huang, Y.; Liu, X.; Shen, T.; Li, W.; Ren, J.; Zhong, H. Portable Iron-Organic Frameworks Hydrogel for Glyphosate Detection Based on Competitive Coordination with Iron. Food Chem. 2025, 474, 143156. [Google Scholar] [CrossRef]
- Karim Poor Azar, P.; Hosseini, M.; Nezam Abadi, N.; Moridi Farimani, M.; Mahdavi, V. Development and Validation of a UHPLC-MS/MS Method for Quantifying Glyphosate and AMPA Residues in Canola Oilseeds Using FMOC-Cl Derivatization. J. Food Compos. Anal. 2025, 148, 108624. [Google Scholar] [CrossRef]
- Ohara, T.; Yoshimoto, T.; Natori, Y.; Ishii, A. 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 J. Med. Sci. 2021, 83, 567–587. [Google Scholar] [CrossRef] [PubMed]
- Rakshit, S.; Shekhar, S.; Sahu, S.R.; Ghoshal, S.; Narayanan, N.; Singh, N.; Banerjee, T. Development and Validation of Rapid Technique for Trace Level Quantification of Glyphosate and AMPA in Water Using LC-TQ MS. Sci. Total Environ. 2025, 978, 179421. [Google Scholar] [CrossRef]
- Méndez-Barredo, L.H.; Monribot-Villanueva, J.L.; Bojórquez-Velázquez, E.; Elizalde-Contreras, J.M.; Guerrero-Analco, J.A.; Ruiz-May, E. Comparative Evaluation of Different Extraction Methods for Identification and Quantification of Glyphosate in Fortified Corn Flour. J. Mex. Chem. Soc. 2023, 67, 213–226. [Google Scholar] [CrossRef]
- Hrițac, R.; Sfîcă, L.; Mega, M.; Ichim, P.; Breabăn, I.G.; Niacșu, L. Rainfall Erosivity Main Features and Their Associated Synoptic Conditions in North-Eastern Romania. Appl. Sci. 2025, 15, 6785. [Google Scholar] [CrossRef]
- Rodríguez, M.P.; Melo, C.; Jiménez, E.; Dussán, J. Glyphosate Bioremediation through the Sarcosine Oxidase Pathway Mediated by Lysinibacillus Sphaericus in Soils Cultivated with Potatoes. Agriculture 2019, 9, 217. [Google Scholar] [CrossRef]
- Tiroch, J.; Dunkel, A.; Sterneder, S.; Zehentner, S.; Behrens, M.; Di Pizio, A.; Ley, J.P.; Lieder, B.; Somoza, V. Human Gingival Fibroblasts as a Novel Cell Model Describing the Association between Bitter Taste Thresholds and Interleukin-6 Release. J. Agric. Food Chem. 2023, 71, 5314–5325. [Google Scholar] [CrossRef]
- Alehashem, M.; Mamet, S.; Hogan, N.; Hecker, M.; Florou, D.; Tsatsakis, A.; Siciliano, S. Correlation between in Vitro Toxicity of Pesticides and in Vivo Risk Guidelines in Support of Complex Operating Site Risk Management: A Meta-Analysis. Food Chem. Toxicol. 2022, 170, 113502. [Google Scholar] [CrossRef]
- Batista, J.M.; Gomes, D.A.; Armijos, M.J.G.; Rodrigues, M.A.; Menezes, H.C.; Cardeal, Z.L. A Biomarkers Study of Human Skin Fibroblasts Exposition to Glyphosate-Based Herbicide Using an Untargeted and Targeted Metabolomics Approach. Chemosphere 2025, 370, 143998. [Google Scholar] [CrossRef]
- Salazar-Flores, J.; Lomelí-Martínez, S.M.; Ceja-Gálvez, H.R.; Torres-Jasso, J.H.; Torres-Reyes, L.A.; Torres-Sánchez, E.D. Impacts of Pesticides on Oral Cavity Health and Ecosystems: A Review. Int. J. Environ. Res. Public Health 2022, 19, 11257. [Google Scholar] [CrossRef]
- Arrigo, E.; Gilardi, S.; Muratori, L.; Raimondo, S.; Mancardi, D. Biological Effects of Sub-Lethal Doses of Glyphosate and AMPA on Cardiac Myoblasts. Front. Physiol. 2023, 14, 1165868. [Google Scholar] [CrossRef]
- Defarge, N.; Spiroux de Vendômois, J.; Séralini, G.E. Toxicity of Formulants and Heavy Metals in Glyphosate-Based Herbicides and Other Pesticides. Toxicol. Rep. 2018, 5, 156–163. [Google Scholar] [CrossRef] [PubMed]
- Tarazona, J.V.; Court-Marques, D.; Tiramani, M.; Reich, H.; Pfeil, R.; Istace, F.; Crivellente, F. Glyphosate Toxicity and Carcinogenicity: A Review of the Scientific Basis of the European Union Assessment and Its Differences with IARC. Arch. Toxicol. 2017, 91, 2723–2743. [Google Scholar] [CrossRef] [PubMed]
- López-García, J.; Lehocký, M.; Humpolíček, P.; Sáha, P. HaCaT Keratinocytes Response on Antimicrobial Atelocollagen Substrates: Extent of Cytotoxicity, Cell Viability and Proliferation. J. Funct. Biomater. 2014, 5, 43–57. [Google Scholar] [CrossRef] [PubMed]
- Karasali, H.; Pavlidis, G.; Marousopoulou, A. Investigation of the Presence of Glyphosate and Its Major Metabolite AMPA in Greek Soils. Environ. Sci. Pollut. Res. 2019, 26, 36308–36321. [Google Scholar] [CrossRef]
- Sari, R.; Juho, V.; Katri, S.; Jaana, U.K. Determination of Glyphosate and Aminomethylphosphonic Acid Residues in Finnish Soils by Ultra-high Performance Liquid Chromatography–Tandem Mass Spectrometry. MethodsX 2023, 11, 102397. [Google Scholar] [CrossRef] [PubMed]
- Maccario, S.; Lucotte, M.; Moingt, M.; Samson-Brais, É.; Smedbol, É.; Labrecque, M. Impact of Soil Characteristics and Weed Management Practices on Glyphosate and AMPA Persistence in Field Crops Soils from the St. Lawrence Lowlands (Quebec, Canada). Agronomy 2022, 12, 992. [Google Scholar] [CrossRef]
- Inês, S.; Ana, L.; Emília, S. Environmental Risk Assessment of Glyphosate and Aminomethylphosphonic Acid (AMPA) in Portuguese Groundwater Ecosystems. Environments 2024, 11, 258. [Google Scholar] [CrossRef]
- Dovidauskas, S.; Okada, I.A.; dos Santos, F.R. Validation of a Simple Ion Chromatography Method for Simultaneous Determination of Glyphosate, Aminomethylphosphonic Acid and Ions of Public Health Concern in Water Intended for Human Consumption. J. Chromatogr. A 2020, 1632, 461603. [Google Scholar] [CrossRef]
- Di Guardo, A.; Finizio, A. A New Methodology to Identify Surface Water Bodies at Risk by Using Pesticide Monitoring Data: The Glyphosate Case Study in Lombardy Region (Italy). Sci. Total Environ. 2018, 610–611, 421–429. [Google Scholar] [CrossRef]
- Lima, I.B.; Boëchat, I.G.; Fernandes, M.D.; Monteiro, J.A.F.; Rivaroli, L.; Gücker, B. Glyphosate Pollution of Surface Runoff, Stream Water, and Drinking Water Resources in Southeast Brazil. Environ. Sci. Pollut. Res. 2023, 30, 27030–27040. [Google Scholar] [CrossRef]
- Poiger, T.; Buerge, I.J.; Bächli, A.; Müller, M.D.; Balmer, M.E. Occurrence of the Herbicide Glyphosate and Its Metabolite AMPA in Surface Waters in Switzerland Determined with On-Line Solid Phase Extraction LC-MS/MS. Environ. Sci. Pollut. Res. 2017, 24, 1588–1596. [Google Scholar] [CrossRef] [PubMed]
- Wigfield, D.C.; Buchanan, G.W.; Croteau, S.M. On Ruhemann’s Purple. Can. J. Chem. 1980, 58, 201–205. [Google Scholar]
- Jiang, W.; Lin, L.; Xu, X.; Cheng, X.; Zhang, Y.; Hall, R.; Xu, P. A Critical Review of Analytical Methods for Comprehensive Characterization of Produced Water. Water 2021, 13, 183. [Google Scholar] [CrossRef]
- Espinoza-Montero, P.J.; Vega-Verduga, C.; Alulema-Pullupaxi, P.; Fernández, L.; Paz, J.L. Technologies Employed in the Treatment of Water Contaminated with Glyphosate: A Review. Molecules 2020, 25, 5550. [Google Scholar] [CrossRef]
- Mehdizadeh, M.; Al-Taey, D.K.A.; Omidi, A.; Alsaffar, M.F.; Choudhury, A.R.; Akram, M. Exploring Eco-Engineering Methods to Mitigate Glyphosate Residue Risks in Agricultural Systems. Environ. Eng. Res. 2025, 30, 240712. [Google Scholar] [CrossRef]
- Azzali, A.; Miguel-Rojas, C.; Alcántara-Braña, M.C.; Parra-Torrejón, B.; Ramírez-Rodríguez, G.B.; Grepioni, F.; Pérez-De-Luque, A.; Delgado-López, J.M. A Novel Engineered Nanoherbicide: Improving Performance, Efficiency and Sustainability of Herbicide Bentazon. Environ. Sci. Nano 2025, 12, 4211–4221. [Google Scholar] [CrossRef]
- Carranza, C.S.; Aluffi, M.E.; Benito, N.; Magnoli, K.; De Gerónimo, E.; Aparicio, V.C.; Barberis, C.L.; Magnoli, C.E. Glyphosate and Aminomethylphosphonic Acid Removal by Fungal Strains Native to Pesticide-Exposed Agricultural Soil: A Field Study. Int. J. Environ. Sci. Technol. 2025, 22, 2421–2430. [Google Scholar] [CrossRef]
- Du, Y.; Zhang, H.; Bossolasco, L.; Bandara, A.R.; Pu, Y.; Gui, H.; Hu, Y.; Mortimer, P.E. Field Cultivation of Agaricus Subrufescens Peck Lowers Soil Glyphosate Levels, Alters Soil Microbial Communities, and Boosts Soil Enzyme Activities in Coffee Plantations. Stud. Fungi 2025, 10, e009. [Google Scholar] [CrossRef]
- Vrchovecká, S.; Zajíček, A.; Wacławek, S. Biofilters as an Ecological and Effective Solution for Pesticide Elimination. Water Air Soil Pollut. 2026, 237, 342. [Google Scholar] [CrossRef]
- Faggiano, A.; Fiorentino, A.; Ricciardi, M.; Proto, A.; Motta, O. Optimizing Glyphosate Removal from Water Using a Peracetic Acid-Assisted Advanced Oxidation Process: A Response Surface Methodology Approach. Sustainability 2024, 16, 5741. [Google Scholar] [CrossRef]
- Naghdi, S.; Brown, E.; Zendehbad, M.; Duong, A.; Ipsmiller, W.; Biswas, S.; Toroker, M.C.; Kazemian, H.; Eder, D. Glyphosate Adsorption from Water Using Hierarchically Porous Metal–Organic Frameworks. Adv. Funct. Mater. 2023, 33, 2213862. [Google Scholar] [CrossRef]
- Ghasemi, M.; Turnbull, T.; Sebastian, S.; Kempson, I. The Mtt Assay: Utility, Limitations, Pitfalls, and Interpretation in Bulk and Single-Cell Analysis. Int. J. Mol. Sci. 2021, 22, 12827. [Google Scholar] [CrossRef]
- ISO 10993-5:2009; Biological Evaluation of Medical Devices-Part 5: Tests for in Vitro Cytotoxicity. Tanzania Bureau of Standards: Ubungo, Tanzania, 2009.
- Jităreanu, A.; Agoroaei, L.; Caba, I.-C.; Cojocaru, F.-D.; Vereștiuc, L.; Vieriu, M.; Mârțu, I. The Evolution of In Vitro Toxicity Assessment Methods for Oral Cavity Tissues—From 2D Cell Cultures to Organ-on-a-Chip. Toxics 2025, 13, 195. [Google Scholar] [CrossRef]
- Truzzi, F.; Mandrioli, D.; Gnudi, F.; Scheepers, P.T.J.; Silbergeld, E.K.; Belpoggi, F.; Dinelli, G. Comparative Evaluation of the Cytotoxicity of Glyphosate-Based Herbicides and Glycine in L929 and Caco2 Cells. Front. Public Health 2021, 9, 643898. [Google Scholar] [CrossRef]









| Spiked Glyphosate Final Amount (μg/mL) | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 | CV% | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Absorbance | Back-Calculated Values | Accuracy | Absorbance | Back-Calculated Values | Accuracy | Absorbance | Back-Calculated Values | Accuracy | Absorbance | Back-Calculated Values | Accuracy | Absorbance | Back-Calculated Values | Accuracy | ||
| 1.055 | 0.02 | 1.302 | 123.4 | 0.02 | 1.488 | 141.0 | 0.01 | 1.233 | 116.8 | 0.02 | 1.579 | 149.7 | 0.02 | 1.594 | 151.1 | 24.8 |
| 1.319 | 0.02 | 1.302 | 98.7 | 0.02 | 1.488 | 112.8 | 0.02 | 1.814 | 137.5 | 0.01 | 0.970 | 73.5 | 0.02 | 1.594 | 120.8 | 24.8 |
| 1.649 | 0.03 | 1.893 | 114.8 | 0.03 | 2.098 | 127.2 | 0.02 | 1.814 | 110.0 | 0.02 | 1.579 | 95.8 | 0.03 | 2.219 | 134.6 | 21.1 |
| 2.061 | 0.04 | 2.485 | 120.6 | 0.03 | 2.098 | 101.8 | 0.02 | 1.814 | 88.0 | 0.03 | 2.189 | 106.2 | 0.03 | 2.219 | 107.7 | 23.6 |
| 2.57 | 0.04 | 2.485 | 96.7 | 0.04 | 2.707 | 105.3 | 0.03 | 2.395 | 93.2 | 0.03 | 2.189 | 85.2 | 0.03 | 2.219 | 86.3 | 16.1 |
| 3.221 | 0.05 | 3.077 | 95.5 | 0.04 | 2.707 | 84.1 | 0.04 | 2.977 | 92.4 | 0.05 | 3.409 | 105.8 | 0.04 | 2.844 | 88.3 | 12.4 |
| 4.026 | 0.07 | 4.260 | 105.8 | 0.07 | 4.537 | 112.7 | 0.06 | 4.140 | 102.8 | 0.07 | 4.628 | 115.0 | 0.06 | 4.094 | 101.7 | 8.3 |
| 5.033 | 0.09 | 5.444 | 108.2 | 0.08 | 5.146 | 102.3 | 0.09 | 5.884 | 116.9 | 0.07 | 4.628 | 92.0 | 0.07 | 4.719 | 93.8 | 12.5 |
| 6.291 | 0.1 | 6.036 | 95.9 | 0.09 | 5.756 | 91.5 | 0.1 | 6.465 | 102.8 | 0.11 | 7.067 | 112.3 | 0.1 | 6.594 | 104.8 | 7.1 |
| 7.864 | 0.13 | 7.811 | 99.3 | 0.13 | 8.195 | 104.2 | 0.12 | 7.628 | 97.0 | 0.11 | 7.067 | 89.9 | 0.12 | 7.844 | 99.7 | 6.9 |
| 9.83 | 0.15 | 8.994 | 91.5 | 0.17 | 10.634 | 108.2 | 0.16 | 9.953 | 101.3 | 0.15 | 9.506 | 96.7 | 0.15 | 9.719 | 98.9 | 5.7 |
| 12.88 | 0.2 | 11.953 | 92.8 | 0.17 | 10.634 | 82.6 | 0.19 | 11.698 | 90.8 | 0.2 | 12.555 | 97.5 | 0.19 | 12.219 | 94.9 | 6.4 |
| 15.36 | 0.25 | 14.911 | 97.1 | 0.24 | 14.902 | 97.0 | 0.24 | 14.605 | 95.1 | 0.24 | 14.994 | 97.6 | 0.23 | 14.719 | 95.8 | 2.9 |
| 19.2 | 0.34 | 20.237 | 105.4 | 0.3 | 18.561 | 96.7 | 0.31 | 18.674 | 97.3 | 0.31 | 19.262 | 100.3 | 0.3 | 19.094 | 99.4 | 5.3 |
| 24 | 0.4 | 23.787 | 99.1 | 0.4 | 24.659 | 102.7 | 0.4 | 23.907 | 99.6 | 0.4 | 24.750 | 103.1 | 0.39 | 24.719 | 103.0 | 1.1 |
| 30 | 0.51 | 30.296 | 101.0 | 0.5 | 30.756 | 102.5 | 0.52 | 30.884 | 102.9 | 0.48 | 29.628 | 98.8 | 0.48 | 30.344 | 101.1 | 3.6 |
| Regression equation | y = 0.0169x − 0.002 R2 = 0.9969 | y = 0.0164x − 0.0044 R2 = 0.9927 | y = 0.0171x − 0.0112 R2 = 0.9963 | y = 0.0164x − 0.0059 R2 = 0.9971 | y = 0.016x − 0.0055 R2 = 0.9977 | |||||||||||
| Parameter | Value |
|---|---|
| Coefficient of determination (R2) | 0.9981 |
| Slope | 0.0166 |
| Intercept | −0.0058 |
| Spiked Glyphosate Final Amount (μg/mL) | Set 1 | Set 2 | Set 3 | Set 4 | Set 5 | Set 6 | CV% | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Absorbance | Back-Calculated Values | Accuracy | Absorbance | Back-Calculated Values | Accuracy | Absorbance | Back-Calculated Values | Accuracy | Absorbance | Back-Calculated Values | Accuracy | Absorbance | Back-Calculated Values | Accuracy | Absorbance | Back-Calculated Values | Accuracy | ||
| 1.055 | 0.01 | 1.234 | 116.9 | 0.04 | 2.000 | 189.5 | 0.02 | 1.224 | 116.0 | 0.01 | 1.373 | 130.1 | 0.03 | 1.740 | 164.9 | 0.03 | 1.706 | 161.7 | 51.9 |
| 1.319 | 0.01 | 1.234 | 93.5 | 0.03 | 1.479 | 112.1 | 0.03 | 1.745 | 132.3 | 0.02 | 1.891 | 143.4 | 0.03 | 1.740 | 131.9 | 0.02 | 1.171 | 88.8 | 35.0 |
| 1.649 | 0.02 | 1.722 | 104.4 | 0.04 | 2.000 | 121.2 | 0.05 | 2.786 | 169.0 | 0.02 | 1.891 | 114.7 | 0.04 | 2.260 | 137.1 | 0.03 | 1.706 | 103.4 | 36.3 |
| 2.061 | 0.02 | 1.722 | 83.5 | 0.04 | 2.000 | 97.0 | 0.04 | 2.266 | 109.9 | 0.02 | 1.891 | 91.8 | 0.03 | 1.740 | 84.4 | 0.03 | 1.706 | 82.8 | 29.8 |
| 2.57 | 0.05 | 3.185 | 123.9 | 0.04 | 2.000 | 77.8 | 0.04 | 2.266 | 88.2 | 0.04 | 2.927 | 113.9 | 0.04 | 2.260 | 88.0 | 0.04 | 2.241 | 87.2 | 9.8 |
| 3.221 | 0.06 | 3.673 | 114.0 | 0.07 | 3.563 | 110.6 | 0.05 | 2.786 | 86.5 | 0.04 | 2.927 | 90.9 | 0.06 | 3.302 | 102.5 | 0.06 | 3.310 | 102.8 | 18.2 |
| 4.026 | 0.07 | 4.161 | 103.3 | 0.1 | 5.125 | 127.2 | 0.06 | 3.307 | 82.1 | 0.06 | 3.964 | 98.5 | 0.08 | 4.344 | 107.9 | 0.08 | 4.380 | 108.8 | 20.2 |
| 5.033 | 0.08 | 4.649 | 92.3 | 0.1 | 5.125 | 101.8 | 0.1 | 5.391 | 107.1 | 0.08 | 5.000 | 99.3 | 0.09 | 4.865 | 96.7 | 0.09 | 4.914 | 97.6 | 9.9 |
| 6.291 | 0.11 | 6.112 | 97.1 | 0.12 | 6.167 | 98.0 | 0.1 | 5.391 | 85.7 | 0.09 | 5.518 | 87.7 | 0.1 | 5.385 | 85.6 | 0.13 | 7.053 | 112.1 | 13.6 |
| 7.864 | 0.14 | 7.576 | 96.3 | 0.15 | 7.729 | 98.2 | 0.15 | 7.995 | 101.7 | 0.16 | 9.145 | 116.3 | 0.14 | 7.469 | 95.0 | 0.14 | 7.588 | 96.5 | 5.6 |
| 9.83 | 0.18 | 9.527 | 96.9 | 0.17 | 8.771 | 89.2 | 0.15 | 7.995 | 81.3 | 0.16 | 9.145 | 93.0 | 0.16 | 8.510 | 86.6 | 0.18 | 9.727 | 99.0 | 7.3 |
| 12.88 | 0.23 | 11.966 | 92.9 | 0.22 | 11.375 | 88.3 | 0.21 | 11.120 | 86.3 | 0.2 | 11.218 | 87.1 | 0.23 | 12.156 | 94.4 | 0.21 | 11.332 | 88.0 | 5.6 |
| 15.36 | 0.3 | 15.380 | 100.1 | 0.29 | 15.021 | 97.7 | 0.29 | 15.286 | 99.5 | 0.28 | 15.363 | 100.0 | 0.3 | 15.802 | 102.9 | 0.28 | 15.075 | 98.1 | 3.1 |
| 19.2 | 0.39 | 19.771 | 102.9 | 0.36 | 18.667 | 97.2 | 0.36 | 18.932 | 98.6 | 0.36 | 19.508 | 101.6 | 0.39 | 20.490 | 106.7 | 0.38 | 20.422 | 106.4 | 4.0 |
| 24 | 0.49 | 24.649 | 102.7 | 0.47 | 24.396 | 101.6 | 0.44 | 23.099 | 96.2 | 0.45 | 24.171 | 100.7 | 0.48 | 25.177 | 104.9 | 0.46 | 24.701 | 102.9 | 4.0 |
| 30 | 0.59 | 29.527 | 98.4 | 0.6 | 31.167 | 103.8 | 0.56 | 29.349 | 97.8 | 0.57 | 30.389 | 101.3 | 0.55 | 28.823 | 96.1 | 0.55 | 29.513 | 98.4 | 3.7 |
| Regression equation | y = 0.0205x − 0.0153, R2 = 0.9975 | y = 0.0192x + 0.0016 R2 = 0.9932 | y = 0.0185x − 0.0035 R2 = 0.993 | y = 0.0193x − 0.0165 R2 = 0.9945 | y = 0.0192x − 0.0034 R2 = 0.9922 | y = 0.0187x − 0.0019 R2 = 0.9948 | |||||||||||||
| Parameter | Value |
|---|---|
| Number of samples | 40 |
| Samples below LOQ | 39 |
| Samples with detectable glyphosate | 1 |
| Maximum concentration (µg/mL) | 9.59 |
| Sample ID | Absorbance (567 nm) | Glyphosate Apparent Concentration (µg/mL) |
|---|---|---|
| Water 1 | 0.00 | 0.57 |
| Water 2 | 0.01 | 1.14 |
| Water 3 | 0.01 | 1.14 |
| Water 4 | 0.01 | 1.14 |
| Water 5 | 0.01 | 1.14 |
| Analytical Batch | Sample ID | Absorbance (567 nm) | Glyphosate Apparent Concentration (µg/mL) | Glyphosate Apparent Concentration (µg/g) |
|---|---|---|---|---|
| Set 1 | Blank soil extract | 0.10 | 6.38 | 15.950 |
| Set 1 | P1 | 0.54 | 35.33 | 88.325 |
| Set 1 | P2 | 0.81 | 53.09 | 132.725 |
| Set 1 | P3 | 0.19 | 12.30 | 30.750 |
| Set 1 | P4 | 0.08 | 5.07 | 12.675 |
| Set 1 | P5 | 0.26 | 16.91 | 42.275 |
| Set 1 | P6 | 1.24 | 81.38 | 203.450 |
| Set 1 | P7 | 0.29 | 18.88 | 47.200 |
| Set 1 | P8 | 0.39 | 25.46 | 63.650 |
| Set 1 | P9 | 0.12 | 7.70 | 19.250 |
| Set 2 | Blank soil extract | 0.11 | 6.29 | 15.725 |
| Set 2 | P10 | 0.46 | 25.63 | 64.075 |
| Set 2 | P11 | 0.05 | 2.98 | 7.450 |
| Set 2 | P12 | 0.11 | 6.29 | 15.725 |
| Set 2 | P13 | 0.23 | 12.92 | 32.300 |
| Set 2 | P14 | 0.10 | 5.74 | 14.350 |
| Set 2 | P15 | 0.12 | 6.85 | 17.125 |
| Set 2 | P16 | 0.08 | 4.64 | 11.600 |
| Set 2 | P17 | 0.02 | 1.32 | 3.300 |
| Set 2 | P18 | 0.29 | 16.24 | 40.600 |
| Set 2 | P19 | 0.08 | 4.76 | 11.900 |
| Set 2 | P20 | 0.41 | 23.09 | 57.725 |
| Set 2 | P21 | 0.26 | 14.76 | 36.900 |
| Set 2 | P22 | 0.14 | 8.09 | 20.225 |
| Set 2 | P23 | 0.22 | 12.53 | 31.325 |
| Set 2 | P24 | 0.05 | 3.09 | 7.725 |
| Set 2 | P25 | 0.07 | 4.20 | 10.500 |
| Set 2 | P26 | 0.07 | 4.20 | 10.500 |
| Set 2 | P27 | 0.05 | 3.09 | 7.725 |
| Set 2 | P28 | 0.15 | 8.64 | 21.600 |
| Substance | Exposure Time (Days) | Control | 1 µM | 10 µM | 250 µM | 500 µM | 1 mM |
|---|---|---|---|---|---|---|---|
| Glyphosate | 3 | 100 ± 5.93 | 96.15 ± 4.31 | 95.82 ± 2.25 | 92.85 ± 1.99 | 90.54 ± 5.81 | 86.36 ± 4.07 |
| 6 | 100 ± 6.79 | 89.63 ± 1.76 | 85.10 ± 2.17 | 81.78 ± 7.9 | 81.10 ± 1.49 | 70.98 ± 0.72 | |
| 7 | 100 ± 4.04 | 87.12 ± 3.19 | 83.90 ± 3.24 | 77.26 ± 1.39 | 75.05 ± 3.3 | 70.42 ± 3.96 | |
| Roundup® | 3 | 100 ± 5.93 | 100.2 ± 5.33 | 100.9 ± 4.62 | 101.8 ± 1.06 | 95.60 ± 3.4 | 66.23 ± 8.82 |
| 6 | 100 ± 6.79 | 96.50 ± 5.95 | 95.14 ± 5.78 | 96.20 ± 4.54 | 78.68 ± 2.28 | 47.42 ± 2.81 | |
| 7 | 100 ± 4.04 | 96.18 ± 4.48 | 95.84 ± 1.81 | 93.49 ± 4.69 | 77.93 ± 3.84 | 46.88 ± 3.29 |
| Concentration | Glyphosate (Mean ± SD) | Roundup (Mean ± SD) | p-Value |
|---|---|---|---|
| 1 μM | 90.97 ± 4.92 | 97.63 ± 4.98 | 0.011 * |
| 10 μM | 88.27 ± 6.11 | 97.33 ± 4.71 | 0.003 * |
| 250 μM | 83.74 ± 7.18 | 97.19 ± 4.96 | <0.001 * |
| 500 μM | 82.46 ± 8.33 | 84.07 ± 9.16 | 0.700 |
| 1 mM | 75.92 ± 8.34 | 53.51 ± 10.73 | <0.001 * |
| Country | Sample Type | Glyphosate Concentration | References |
|---|---|---|---|
| Greece | soil | 0.026–40.6 μg g−1 | [51] |
| Finland | soil | 0.1 mg kg−1–3 mg kg−1 | [52] |
| Canada | soil | maximum 0.47 mg·kg−1 | [53] |
| China | soil | 888.85 µg kg−1 | [27] |
| U.S. | soil | median: 9.6 µg kg−1 | [24] |
| Portugal | groundwater | maximum 4.69 µg L−1 | [54] |
| U.S. | groundwater | up to 2 µg L−1 | [24] |
| Brazil | tap water | 0.015 mg L−1–0.18 mg L−1 | [55] |
| U.S. | surface water | 0.03 µg L−1 | [24] |
| Italy | surface water | 0.1 µg L−1–108 µg L−1 | [56] |
| Brazil | surface water | 24 mg L−1–6.1 mg L−1 | [57] |
| Switzerland | surface water | 0.11 µg L−1–2.1 µg L−1 | [58] |
| China | surface water | 0–204.0 µg L−1 | [27] |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Caba, I.-C.; Stefănescu, R.; Botnaru, A.-A.; Morariu, I.D.; Vereștiuc, L.; Cojocaru, F.-D.; Caba, B.; Cioancă, O.; Jităreanu, A.; Agoroaei, L. Monitoring Environmental Glyphosate in Northeastern Romania and Its Cytotoxic Impact on Human Fibroblasts. J. Xenobiot. 2026, 16, 61. https://doi.org/10.3390/jox16020061
Caba I-C, Stefănescu R, Botnaru A-A, Morariu ID, Vereștiuc L, Cojocaru F-D, Caba B, Cioancă O, Jităreanu A, Agoroaei L. Monitoring Environmental Glyphosate in Northeastern Romania and Its Cytotoxic Impact on Human Fibroblasts. Journal of Xenobiotics. 2026; 16(2):61. https://doi.org/10.3390/jox16020061
Chicago/Turabian StyleCaba, Ioana-Cezara, Raluca Stefănescu, Alexandra-Andreea Botnaru, Ionela Daniela Morariu, Liliana Vereștiuc, Florina-Daniela Cojocaru, Bogdan Caba, Oana Cioancă, Alexandra Jităreanu, and Luminița Agoroaei. 2026. "Monitoring Environmental Glyphosate in Northeastern Romania and Its Cytotoxic Impact on Human Fibroblasts" Journal of Xenobiotics 16, no. 2: 61. https://doi.org/10.3390/jox16020061
APA StyleCaba, I.-C., Stefănescu, R., Botnaru, A.-A., Morariu, I. D., Vereștiuc, L., Cojocaru, F.-D., Caba, B., Cioancă, O., Jităreanu, A., & Agoroaei, L. (2026). Monitoring Environmental Glyphosate in Northeastern Romania and Its Cytotoxic Impact on Human Fibroblasts. Journal of Xenobiotics, 16(2), 61. https://doi.org/10.3390/jox16020061

