Losartan in the Era of Emerging Contaminants: A Multi-Criteria Approach for Efficient and Sustainable Remediation
Abstract
1. Introduction
2. Methodology
3. Physicochemical Properties and Environmental Behavior of Losartan
3.1. Chemical Structure and Properties
3.2. Environmental Fate and Persistence in Natural Systems
4. Environmental Occurrence and Ecological Risk
4.1. Environmental Occurrence and Distribution in Aquatic Matrices
4.2. Analytical Methods and Detection Techniques
4.3. Ecological Risk Assessment and Ecotoxicity
5. Conventional Removal Technologies
5.1. Removal by Conventional Biological Processes
5.2. Physicochemical Treatment Processes
5.2.1. Coagulation and Flocculation
5.2.2. Adsorption on Activated Carbon
5.2.3. Membrane Processes
6. Advanced Remediation Technologies
6.1. Advanced Oxidation Processes
6.2. Photocatalysis
6.3. Advanced Electrochemical Processes
6.4. Emerging Adsorbents and Nanomaterials
6.5. Hybrid Technologies
7. Scientific Gaps
8. Future Prospects
9. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
| AC | Activated Carbon |
| ACNF | Acid-treated Carbon Nanofibers |
| AOP | Advanced Oxidation Process(es) |
| ARB | Angiotensin II Receptor Blocker(s) |
| BCF | Bioconcentration Factor |
| BDD | Boron-Doped Diamond |
| BMOF | Bifunctional Metal–Organic Framework |
| CAS | Conventional Activated Sludge |
| CNT | Carbon Nanotubes |
| COD | Chemical Oxygen Demand |
| CYP2C9 | Cytochrome P450 2C9 |
| DSA | Dimensionally Stable Anode |
| dSPE | Dispersive Solid-Phase Extraction |
| EC50 | Effective Concentration (50%) |
| EF | Electro-Fenton |
| EQS | Environmental Quality Standards |
| EXP-3174 | Losartan carboxylic acid metabolite |
| EXP-3179 | Losartan carboxaldehyde metabolite |
| GDE | Gas Diffusion Electrode |
| GO | Graphene Oxide |
| HRMS | High-Resolution Mass Spectrometry |
| LC-MS/MS | Liquid Chromatography–Tandem Mass Spectrometry |
| LCA | Life Cycle Assessment |
| LOD | Limit of Detection |
| LOQ | Limit of Quantification |
| MF | Microfiltration |
| MOF | Metal–Organic Framework |
| MRM | Multiple Reaction Monitoring |
| NC | Nanocellulose |
| NF | Nanofiltration |
| PEC | Predicted Environmental Concentration |
| PEF | Photoelectro-Fenton |
| PNEC | Predicted No-Effect Concentration |
| QqQ | Triple Quadrupole |
| rGO | Reduced Graphene Oxide |
| RO | Reverse Osmosis |
| RQ | Risk Quotient |
| SPE | Solid-Phase Extraction |
| SRT | Solids Retention Time |
| STP | Sewage Treatment Plant |
| TOC | Total Organic Carbon |
| TP | Transformation Product |
| UF | Ultrafiltration |
| UHPLC-MS/MS | Ultra-High-Performance Liquid Chromatography–Tandem Mass Spectrometry |
| UV | Ultraviolet |
| UV-C | Ultraviolet C |
| WWTP | Wastewater Treatment Plant(s) |
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| Parameter | Expression/Value | Environmental Implication |
|---|---|---|
| Molecular formula | C22H23ClN6O | Aromatic structure that is comparatively stable |
| Molar mass | 422.9 g mol−1 | Affects bioavailability and transportation |
| PKa | ~4.9 | Mostly ionized at room pH |
| log Kow | 4–4.3 | In neutral form, moderate hydrophobicity |
| log Koc | 2.5–3.1 | Moderate soil and sediment mobility |
| Solubility in water | 50–100 mg L−1 | It facilitates aqueous phase transfer. |
| Estimated BCF | <100 | Low possibility for bioaccumulation |
| Drug | Log Kow | pKa | Solubility in Water | Estimated BCF | Environmental Potential |
|---|---|---|---|---|---|
| Losartan | 4–4.3 | ~4.9 | Moderate | <100 | Water mobility that is moderate |
| Valsartana | 3.6 | ~4.7 | Moderate | <100 | Moderate perseverance |
| Irbesartan | 2.1 | ~4.7 | Moderate | <50 | Reduced bioaccumulation |
| Telmisartana | 7.7 | ~4.5 | Low | >500 | High bioaccumulation potential |
| Environmental Matrix | Concentration Range (µg L−1) | Region | Country | Reference |
|---|---|---|---|---|
| Effluent from WWTP | 0.3–6.9 | Copenhagen | Denmark | [8] |
| Effluent from a WWTP | 2.4–2.5 | Patancheru | India | [36] |
| Surface water | 0.0042–1.70 | Hudson river Estuary | USA | [37] |
| Effluent from hospitals | 0.072–0.91 | Coimbra | Portugal | [38] |
| Influent from WTP | <LOQ–1.06 | Lis river | [39] | |
| River and lake surface waters | 0.003–0.0995 | Valencia/Castellón | Spain | [40] |
| Effluent from WWTP | 0.03–0.37 | Castellón | ||
| Seawater | 0.0036–0.548 | Guarujá beaches | Brazil | [41] |
| Submarine sewage | 0.0007–0.0034 | |||
| Influent from WTP | 0.33–0.67 | Ootmarsum | The Netherlands | [42] |
| Effluent from WTP | 0.03–0.09 | |||
| Influent from WTP | 0.62–0.96 | Enschede | ||
| Effluent from WTP | 0.05–0.12 | |||
| Effluent from WTP | <LOQ–0.45 | Bavaria | Germany | [43] |
| Surface water rivers | 0.12 * | |||
| Surface waters | <LOQ–0.154 | Bukovac | Serbia | [44] |
| Influent from WWTP | <LOQ–0.211 | Catalonia | Spain | [45] |
| Effluent from WWTP | <LOQ–0.162 | |||
| River surface waters | <LOQ–0.821 | Ter river Catalonia | ||
| Influent from WWTP | <LOQ–0.366 | Catalonia | Spain | [46] |
| Effluent from WWTP | <LOQ–0.075 | |||
| River surface waters | <LOQ–0.034 | Onyar river Catalonia | ||
| Seawater | 0.0002–0.0086 | Santo’s bay | Brazil | [25] |
| Surface waters | <LOQ–0.0012 | Jiulong River | China | [47] |
| Parameter | Typical Acceptable Range | Importance for Environmental Data |
|---|---|---|
| LOD | 0.1–5 ng L−1 | Evaluates the capacity to identify concentrations that are important to the environment. |
| LOQ | 0.3–15 ng L−1 | Establishes the minimal standard for accurate and precise quantification. |
| Recovery | 70–120% | Assesses sample preparation effectiveness; recovery adjustments are crucial for quantitative data. |
| Precision (RSD) | <20% (repeatability) | Guarantees repeatability both within and between assays. |
| Matrix effect | ±20% | The analytical signal may be suppressed or amplified by complex matrices; for correction, isotopically labeled internal standards are advised. |
| Selectivity | Absence of interferents in MRM transitions | Essential for preventing false positives in matrices containing hundreds of pollutants that co-occur. |
| Technology | Typical Removal Efficiency | Main Mechanisms | Reference |
|---|---|---|---|
| Activated sludge | 20–60% | Sorption plus partial biodegradation | [68] |
| Aerated lagoons | 10–40% | Limited biodegradation combined with dilution | [66] |
| MBR | 40–80% | Extended biodegradation combined with membrane retention | [70] |
| Activated sludge with high SRT | Up to 70% | Microbial adaptation | [72] |
| Process | Predominant Mechanism | Typical Removal Efficiency | Advantages | Limitations | Reference |
|---|---|---|---|---|---|
| Coagulation/Flocculation | Complexation, sweeping, and charge neutralization | 10–40% | It eliminates turbidity and is inexpensive, well-established technology. | Sludge is produced, pH is sensitive, and poor selectivity for polar compounds. | [76,91] |
| Adsorption (Activated Carbon) | Electrostatic, π–π, and hydrophobic interactions | 70–95% | High effectiveness, adaptability in operation, and suitability in powder or fixed bed form. | Adsorbent cost, regeneration requirements, and site competition. | [92] |
| Membranes (NF/RO) | Diffusion, electrostatic repulsion, and size exclusion | 80–99% | Compaction, a high rejection rate, and potential process integration. | Fouling, concentrated brine production, and energy expense. | [86,87] |
| Parameter | Ozonation | UV/H2O2 | Fenton/ Photo-Fenton | Activated Persulfate |
|---|---|---|---|---|
| Main reactive species | OH (indirect) and O3 (direct) | Hydroxyl radical | Hydroxyl radical | Sulfate radical SO4− and OH |
| Activation mechanism | Decomposition at alkaline pH (OH); electron transfer/cycloaddition (O3) | Photolysis of H2O2 (λ < 300 nm) | Fe2+ + H2O2 reaction; photochemical regeneration (photo-Fenton) | UV, transition metals, thermal activation, or alkaline pH |
| Optimal pH range | Alkaline to neutral (favors radical route) | Broad range (6–9); decreased effectiveness at high pH levels | Limit: 2.5–3.5 (traditional); solar photo-Fenton can withstand about 5 | Depending on the activation technique, broad (3–11) |
| Efficiency in removing losartan | High (>90% in <10 min); website-specific | High; reliant on UV transmittance and H2O2 dosage | In photo-Fenton, extremely high and rapid kinetics | Maintaining high efficiency in complex matrices |
| Main advantages | Quick breakdown; dual action (oxidation + disinfection); absence of solid residue | UV + oxidant synergy; straightforward process; no additional metals | Inexpensive reagents High efficiency in organic matrices; solar photo-Fenton lowers energy expenses | Extended half-life radical; selectivity of electron transfer; stability of oxidizing agents |
| Critical limitations | O3’s selectivity may result in byproducts; Bromate formation and high generating energy costs | Excess H2O2 works as a scavenger; turbidity/color interference; high energy requirement (UV lights) | Ferrous sludge production; pH correction required; challenges in extracting the homogenous catalyst | Persulfate is more expensive than H2O2; salinization (sulfate ions) is a risk; thermal activation uses energy |
| Formation of by-products | Danger of short-chain aldehydes, ketones, and bromates (if Br− is present) | Oxalic and formic carboxylic acids; potential production of halogenated byproducts in halide matrices | Hydroxylated aromatic intermediates and short-chain carboxylic acids; incomplete mineralization may lead to iron-complexed organic species that require monitoring. | Sulfonated byproducts; potential persistence of intermediates because of SO4− |
| Estimated energy consumption | High (generation of O3 on-site) | High (UV systems with medium or low pressure) | Low (solar); Moderate (photo-Fenton with lighting); Low (traditional Fenton) | Moderate to High (method-dependent: heat > UV > chemical) |
| Relative operating cost | Elevated | From moderate to high | Moderate (with sludge treatment) to low (reagents) | From moderate to high |
| Toxicity aspects of TPs | Temporary increases in acute toxicity may require biological post-treatment. | More polar and bioavailable TPs may result from incomplete mineralization | Sludge can concentrate adsorbed metals and TPs, just like other AOPs | Monitoring is crucial due to the potential production of sulfonated TPs with poorly understood toxicity |
| Real-scale applicability | Developed in cutting-edge wastewater treatment facilities in Europe; requires stringent bromate control | Energy costs at high flow rates limit its use in tertiary polishing. | Suitable for concentrated industrial effluents; municipal sludge management issues | Emerging; needs economic feasibility studies; promise for stubborn effluents |
| Parameter | TiO2 (Pure) | Doped Materials (TiO2-X) | Carbon-Based Composites (TiO2/C) |
|---|---|---|---|
| Typical structure/phase | Anatase, Rutile, or mixed-phase (e.g., P25) | N, C, S, Fe, Ag, and Cu doping of TiO2 | TiO2 supported on carbon nanofibers, graphene, carbon nanotubes, or charcoal |
| Energy bandgap | ~3.2 eV (anatase); ~3 eV (rutile) | Diminished: 2.5–3 eV, depending on the dopant | Like pure TiO2, but with easier charge transfer |
| Spectral activation range | UV (λ < 387 nm) | Extended UV-Vis (for N doping, up to about 550 nm) | Extended to |
| Losartan degradation mechanism | Attack on the imidazole/tetrazole ring; production of e−/h+; creation of •OH and O2− | Dopants can produce more active sites using the same method, but with increased absorption of visible photons | Losartan’s prior adsorption onto carbon and electron transfer to TiO2; adsorption–oxidation synergy |
| Removal efficiency | High in artificial UV (>90% in 60–120 min); moderate in direct sunshine | Depending on dopant stability, moderate to high in sunlight (60–95% in 60–180 min) | High (85–98% in 30–90 min); local pollutant concentration increases efficiency |
| Mineralization (removal of color) | Moderate (40–70%); persistent recalcitrant intermediates | Variable (30–80%); byproducts may be released by unstable doping agents | High (60–90%); the carbon structure promotes the intermediates’ progressive oxidation |
| Main advantages | Chemical and mechanical stability; inexpensive and widely accessible; non-toxic and well-characterized | Activation in the presence of visible or solar light; Possibility of increased quantum efficiency; Dopant versatility | Improved separation of charges; High capacity for adsorption; potential application of biochar (circular economy) |
| Critical limitations | UV-only spectrum limitation; Quick electron/hydrogen ion recombination; challenging recovery in slurry systems | Metallic dopant leaching; photo corrosion and deactivation over time; More expensive and intricate synthesis | Expensive graphene/CNTs; difficulties recovering and separating the nanocomposite; Nanomaterial leaching risk |
| Formation of by-products | Aldehydes, carboxylic acids (oxalic, formic), and potential temporary toxicity | Dopants can catalyze several oxidation routes, just like pure TiO2 | Decreased intermediate buildup as a result of successive oxidation; sulfonated or nitrogenated TPs must be monitored |
| Stability/Reusability | High (more than five cycles without a discernible drop-in activity) | Moderate (3–5 cycles); activity loss as a result of dopant leaching or sintering | Variable: graphene/CNTs may experience mechanical deterioration; biochar shows good stability |
| Estimated energy consumption | Low under direct solar radiation (although with reduced efficiency); high if reliant on artificial UV | Moderate; using more of the sun’s visible portion lessens the need for UV supplementing | Moderate; comparable to doped medications; adsorption–oxidation synergy may shorten response times |
| Relative cost of synthesis | Low (widely accessible commercial material) | Moderate to high (depending on the inclusion technique and doping agent) | High for graphene/CNTs; low to moderate for biochar made from waste |
| Real-scale applicability | Developed in solar pilot systems; immobilization problems to prevent catalyst loss | Emerging; needs validation of long-term stability in complicated matrices | The engineering problems for recovering and containing nanoparticles seem promising, particularly with biochar |
| Aspects of toxicity/ecotoxicity | TPs may exhibit transient acute toxicity; testing with Daphnia and Vibrio is recommended | Extra danger of toxicity due to metal leakage; crucial TP characterization | Risk of nanomaterial leaching; a comprehensive ecotoxicological effect evaluation is required |
| Parameter | Electro-Oxidation | Electro-Fenton |
|---|---|---|
| Main reactive species | Indirect oxidants (Cl2, O3, and H2O2) produced in situ; •OH adsorbed on the anode | Fenton reaction (Fe2+; H2O2) produces hydroxyl radical (•OH) in solution |
| Mechanism of oxidant generation | Indirect oxidation caused by electrogenerated species or direct oxidation at the anode surface | Electrochemical regeneration of Fe2+ from Fe3+ plus cathodic reduction of O2 to H2O2 |
| Typical electrode materials | BDD, PbO2, DSA (Ti/RuO2-IrO2), and SnO2 are anodes; stainless steel, graphite, and glassy carbon are cathodes | Porous carbon, carbon felt, and gas-diffusion electrodes (GDEs) are cathodes; BDD, Pt, and DSA® are anodes; Fe2+ is added or produced anodically |
| Optimal pH range | Broad (3–10); reliant on the matrix and the method (direct or indirect) | Restricted: 2.5–3.5 (to enhance •OH production and prevent Fe3+ precipitation) |
| Efficiency in removing losartan | High (>90% in 30–90 min with BDD); reliant on conductivity and current density | Very high (>95% in 20–60 min); kinetics enhanced by continuous bulk OH production |
| Mineralization (removal of color) | BDD prefers full mineralization; moderate to high (50–90%) | High (60–95%); attack on resistant intermediates is favored by oxidation in bulk solution |
| Main advantages | Exact management of applied potential; no ongoing reagent addition; room temperature functioning and modularity; High mineralizing capacity is provided by BDD | High efficiency in complicated matrices; electrochemical regeneration of Fe2+ lowers iron consumption and sludge production; in situ H2O2 generation eliminates storage and transportation |
| Critical limitations | High energy consumption for full mineralization; formation of halogenated byproducts in matrices containing Cl−; high cost of BDD; and electrode surface fouling | Iron precipitation at neutral pH; sensitivity of H2O2 production to the matrix (radical scavengers); operational modifications are necessary for acidic pH restriction; Optimization of parameters (current, O2 flow rate, [Fe2+]) is complicated |
| Formation of by-products | Risk of short-chain carboxylic acids as final intermediates, bromates (if halides are present), and organochlorines | Like EO, hydroxylated intermediates may continue if mineralization is not complete; iron-organic complexes may occur |
| Estimated energy consumption | Moderate to High (5–50 kWh m−3 or 10–100 kWh kg−1 COD); based on the electrode’s conductivity and composition | Moderate (3–30 kWh m−3); effective H2O2 cathodes and Fe2+ regeneration improve energy efficiency |
| Relative operating cost | High (particularly with BDD); moderate with PbO2 or DSA | High (particularly with BDD); moderate with PbO2 or DSA |
| System stability/reusability | High for stable anodes (BDD, DSA); fouling can necessitate routine replacement or cleaning | Moderate: Over time, iron precipitation and porous cathode degradation can lower efficiency |
| Real-scale applicability | Cost issues for high flow rates; consolidated for small and medium-sized industrial effluents | Pilot-scale emergence; potential for high-organic-load concentrated effluents; needs long-term validation |
| Aspects of toxicity/Ecotoxicity | Halogenated byproducts have the potential to increase toxicity | Iron-TP complex monitoring is crucial because transient toxicity peaks in intermediate stages |
| Parameter | Biochar | Graphene-Based Materials | MOFs | Functional Biopolymers | Nanomaterials |
|---|---|---|---|---|---|
| Typical composition/structure | Porous carbon produced by pyrolyzing biomass (lignocellulose, agricultural waste) | GO, rGO, and hybrid materials | Metal ions (Zn, Zr, and Fe) and organic ligands (imidazolates, carboxylates) form porous crystalline formations | Cross-linked natural polymers, modified cellulose, chitosan, and alginate | Mesoporous silica (SBA-15, MCM-41), magnetic nanoparticles (Fe3O4), nZVI, CNTs (single/multiple walls), and hybrid nanocomposites |
| Specific surface area | Moderate: 50–400 m2 g−1 (with chemical activation, it can reach >800 m2 g−1) | Extremely high: 300–2600 m2 g−1 (depending on the level of functionalization and reduction) | Outstanding: 500–7000 m2 g−1 (ultra-high porosity and tunable) | Low to moderate: 10–150 m2 g−1 (increases with porosity generated by freeze-drying) | Extremely high: 200–1500 m2 g−1 (mesoporous silica: 600–1000 m2 g−1; CNTs: 400–1200 m2 g−1) |
| Losartan adsorption mechanisms | Pore filling, hydrophobic interactions, hydrogen bonding, and π–π stacking | Electrostatic interactions, complexation with oxygenation groups, and π–π stacking dominance | Van der Waals and electrostatic interactions, metal-ligand coordination, and spatial constriction in pores | Ionic complexation, hydrogen bonding, and electrostatic interactions (amine/carboxyl) | Adsorption in meso/microporous pores, surface complexation, electrostatic interactions, π–π stacking (CNTs), and magnetic interactions (for separation) |
| Reported adsorption capacity | Moderate: 20–150 mg g−1 (depending on source material and activation) | High: 100–350 mg g−1 (interaction with aromatic rings is favored by the π-rich surface) | Extremely high: 150–500 mg g−1 (porosity intended for molecular recognition) | 15–120 mg g−1 is low to moderate (increases with chemical functionalization) | High to extremely high: 80–450 mg g−1 (functionalized carbon nanotubes: 150–300 mg g−1; magnetic nanocomposites: 100–400 mg g−1) |
| Optimal pH range | Broad range (4–9); decreased effectiveness at high pH levels because of surface charge variations | 5–8; high ionic strength aggregation may make active sites less accessible | Limited (4–7); a lot of MOFs hydrolyze at basic or acidic pH levels | Depending on the polymer’s pKa: alginate (pH 5–7), chitosan (pH 4–6) | Broad-range stable magnetic nanoparticles; variable: 3–9 (depending on surface functionalization) |
| Adsorption kinetics | Moderate: equilibrium in 30 to 180 min; rate may be limited by diffusion through holes | Quick: strong diffusivity on two-dimensional surfaces; equilibrium in 10–60 min | Diffusion through micropores may be limiting; variable: 15–120 min | Slow to moderate: 60–240 min; diffusion may be delayed by polymer swelling | Fast to extremely fast: 5–45 min (high diffusivity in nanostructures; process accelerated by magnetic separation) |
| Main advantages | low expense and little waste; Circular economics and sustainability; chemical stability over a broad pH range | Remarkable adsorption capability; surface that can be chemically functionalized; Conductivity of electricity in hybrid applications | High capacity and particular affinity; adaptable porosity and selectivity; and synthesis versatility | Low toxicity and biodegradability; Raw material abundance and chemical functionalization ease | High surface area and faster kinetics; magnetic separation facilitation; Adaptability for selection and potential use in continuous systems |
| Critical limitations | Standardization is hampered by structural variation; pollutants could seep from biomass; Quick saturation in intricate matrices | High cost of processes graphene of superior quality; Risk of nanosheet leaching; propensity to agglomerate in saline solutions | Poor hydrothermal stability in water; metal ion release during hydrolysis; Complex synthesis using organic solvents | Degradation during regeneration cycles; reduced capacity compared to carbonaceous materials; excessive swelling and poor mechanical stability | Danger of nanoparticles seeping into the wastewater; expensive controlled synthesis; combining elements in complicated matrices; Inadequately described nanoparticle ecotoxicity |
| Regeneration potential | Moderate: capacity reduction after three to five cycles; thermal or organic solvent desorption | Moderate to high: graphene shows good structural stability after washing with ethanol and NaOH | Limited: chemical regeneration may deteriorate the structure; many MOFs break upon desorption | Low: crosslinking may hinder full desorption; biopolymers break down with subsequent cycles | Moderate: Stable functionalization’s support 4–8 cycles; aggregation may decrease efficiency; magnetic nanoparticles make separation simple |
| Relative cost of synthesis | Low (simple pyrolysis; waste as raw material) | High (controlled procedures and costly reagents are needed for graphene synthesis) | High to extremely high (controlled synthesis conditions, synthesized organic ligands) | Low to moderate (plenty of raw materials; cost increases due to functionalization) | Moderate to high (Magnetic nanoparticles: moderate cost with scalability; CNTs and mesoporous silica: controlled synthesis) |
| Environmental risks/Ecotoxicity | Leaching of metals, phenols, or PAHs from the initial biomass; saturated biochar disposal needs to be managed | Release of carbon nanoparticles with unclear ecotoxicity; difficulties in separation | Leaching of organic ligands and metal ions (Zn2+, Zr2+); residues are produced via hydrolytic degradation | Low intrinsic toxicity, although glutaraldehyde and other crosslinking agents may be cytotoxic | Unintentional discharge of potentially ecotoxic nanoparticles (oxidative stress in aquatic species); CNTs’ environmental persistence; and the necessity of control measures |
| Real-scale applicability | Potential for decentralized systems; difficulties with continuous flow recovery and standardization | Applications at high flow rates are limited by the emergence of nanomaterial separation and associated costs | Laboratory/pilot stage; expenses and water stability hinder industrial scale-up | Tertiary polishing is appropriate; immobilization on supports is necessary due to mechanical restrictions | Emerging with great potential: cost and regulatory issues with nanoparticles in wastewater; magnetic separation enables continuous operation |
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Georgin, J.; Dehmani, Y.; El Messoaudi, N.; Franco, D.S.P. Losartan in the Era of Emerging Contaminants: A Multi-Criteria Approach for Efficient and Sustainable Remediation. Molecules 2026, 31, 1746. https://doi.org/10.3390/molecules31101746
Georgin J, Dehmani Y, El Messoaudi N, Franco DSP. Losartan in the Era of Emerging Contaminants: A Multi-Criteria Approach for Efficient and Sustainable Remediation. Molecules. 2026; 31(10):1746. https://doi.org/10.3390/molecules31101746
Chicago/Turabian StyleGeorgin, Jordana, Younes Dehmani, Noureddine El Messoaudi, and Dison S. P. Franco. 2026. "Losartan in the Era of Emerging Contaminants: A Multi-Criteria Approach for Efficient and Sustainable Remediation" Molecules 31, no. 10: 1746. https://doi.org/10.3390/molecules31101746
APA StyleGeorgin, J., Dehmani, Y., El Messoaudi, N., & Franco, D. S. P. (2026). Losartan in the Era of Emerging Contaminants: A Multi-Criteria Approach for Efficient and Sustainable Remediation. Molecules, 31(10), 1746. https://doi.org/10.3390/molecules31101746

