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Article

Identification of Antibiotics in Surface-Groundwater. A Tool towards the Ecopharmacovigilance Approach: A Portuguese Case-Study

1
Agência Portuguesa do Ambiente (APA), Rua da Murgueira, 9, Zambujal, Alfragide, 2610-124 Amadora, Portugal
2
Autoridade Nacional do Medicamento e Produtos de Saúde, I.P. (INFARMED), Avenida do Brasil, 53, 1749-004 Lisboa, Portugal
3
Faculdade de Farmácia, Universidade de Lisboa, Avenida Prof. Gama Pinto, 1649-004 Lisboa, Portugal
4
Laboratory of Systems Integration Pharmacology, Clinical & Regulatory Science, Research Institute for Medicines (iMED.ULisboa), 1600-277 Lisboa, Portugal
5
Laboratório de Análises, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
6
Centro de Investigação Vasco da Gama (CIVG), Departamento de Ciências Veterinárias, Escola Universitária Vasco da Gama (EUVG), Campus Universitário de Lordemão, Av. José R. Sousa Fernandes 197, 3020-210 Coimbra, Portugal
7
REQUIMTE-LAQV, Laboratório de Bromatologia e Farmacognosia, Faculdade de Farmácia da Universidade de Coimbra, Polo III, Azinhaga de Santa Comba, 3000-548 Coimbra, Portugal
8
Centro de Química Estrutural, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
9
Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, 3000-548 Coimbra, Portugal
*
Authors to whom correspondence should be addressed.
Antibiotics 2021, 10(8), 888; https://doi.org/10.3390/antibiotics10080888
Submission received: 25 May 2021 / Revised: 6 July 2021 / Accepted: 10 July 2021 / Published: 21 July 2021
(This article belongs to the Special Issue Ecopharmacovigilance of Antibiotics – an Essential Tool)

Abstract

:
Environmental monitoring, particularly of water, is crucial to screen and preselect potential hazardous substances for policy guidance and risk minimisation strategies. In Portugal, extensive data are missing. This work aimed to perform a qualitative survey of antibiotics in surface- groundwater, reflecting demographic, spatial, consumption and drug profiles during an observational period of three years. A passive sampling technique (POCIS) and high-resolution chromatographic system were used to monitor and analyse the antibiotics. The most frequently detected antibiotics were enrofloxacin/ciprofloxacin and tetracycline in surface-groundwater, while clarithromycin/erythromycin and sulfamethoxazole were identified only in surface water. The detection of enzyme inhibitors (e.g., tazobactam/cilastatin) used exclusively in hospitals and abacavir, a specific human medicine was also noteworthy. North (Guimarães, Santo Tirso and Porto) and South (Faro, Olhão and Portimão) Portugal were the regions with the most significant frequency of substances in surface water. The relatively higher detection downstream of the effluent discharge points compared with a low detection upstream could be attributed to a low efficiency in urban wastewater treatment plants and an increased agricultural pressure. This screening approach is essential to identify substances in order to perform future quantitative risk assessment and establishing water quality standards. The greatest challenge of this survey data is to promote an ecopharmacovigilance framework, implement measures to avoid misuse/overuse of antibiotics and slow down emission and antibiotic resistance.

1. Introduction

Antibiotics are a critical component of human and veterinary modern medicine, developed to produce desirable or beneficial effects on infections induced by pathogens. Like most pharmaceuticals, antibiotics tend to be small organic polar compounds, generally ionisable, ordinarily subject to a metabolism or biotransformation process by the organism to be eliminated more efficiently [1,2]. The excretion of these compounds and their metabolites occurs mainly through urine, faeces, or a combination of both. The primary sources for antibiotics contamination are domestic, urban, hospital, industrial wastewater, aquaculture, and intensive livestock farming [3]. As the existing sewage treatment plants cannot efficiently remove them, they may enter the natural surface-ground water in detectable amounts. Antibiotics, apart from other contaminants, can disturb the micro-ecosystem by expansion of resistance to them [4]. The study of environmental antibiotic resistance dissemination is currently relevant to the scientific community [5,6]. The assessment of antibiotics in water has been possible due to the increasing sensitivity/resolution of analytical methods, such as ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UHPLC-QqTOF-MS) and the long adsorption time of substances in passive samplers [7]. Since 2006, marketing authorisation procedures for both human and veterinary medicines must include an environmental risk assessment that comprises a prospective exposure assessment, underestimating the possible impact and the occurrence of antibiotics after years of consumption. Ultimately, the potential risk may not be correctly anticipated. It becomes urgent to generate new data, mainly to refine exposure assessments. As much as the specificities of each member state should be considered this issue has become one of the European community’s main concerns [8].
The strategies against water pollution are provided in the Water Framework Directive [9] and the Directive on Environmental Quality Standards that set environmental quality standards (EQS) for the substances in surface waters and confirm their designation as priority or priority hazardous substances [10]. Evidence of potential impacts and persistence of pharmaceuticals on aquatic organisms have been documented, enforcing the inclusion of antibiotics as a candidate in the EU List of Priority Substances [11].
To identify and monitor sources of emerging pharmaceuticals in surface water, the guidance document “On Surface-water Chemical Monitoring” encourages the use of passive sampling methodology as a risk-based screening tool to evaluate the presence of contaminants [12]. Passive sampling is a monitoring technique that can provide a representative picture of levels of pharmaceuticals and their metabolites [13]. Polar organic chemical integrative sampler (POCIS) is a methodology based on the passive diffusion of pharmaceuticals and their metabolites from the aquatic environment. In contrast, this integrative passive sampler enables the estimation of pharmaceuticals/metabolites contaminant concentrations over extended sampling periods to grab or composite sampling strategies. Thus, the preconcentration of contaminants leads to an increase in the ability to detect trace concentrations [7].
The detection of antibiotics and their metabolites in water is crucial to screen and preselect potential hazardous compounds for policy guidance and the implementation of risk minimisation strategies. In Portugal, data are missing, and the comparison between detection and consumption remains unexplored. This work aims to perform a qualitative survey of antibiotics and their metabolites in surface- groundwater. It seeks to reflect the current demographic, spatial, drug consumption, and drug profile on an observational period of 3 years in Portugal. The greatest challenge of this survey data will be to promote the ecopharmacovigilance framework development shortly to implement measures for avoiding misuse/overuse of antibiotics and slow down emission and antibiotic resistance.

2. Results

2.1. Frequency of Detections: Antibiotics/Enzyme-Inhibitors and Abacavir in Surface-Groundwater

During the screening framework beyond the antibiotics/enzyme-inhibitors, the antiviral abacavir was detected. Therefore, given the relevance of this compound, it was included in the present study. Although enzyme inhibitors belong to the antibiotic group, their specific pharmacological properties and detection were sorted apart. In the present study, antibiotic metabolites were not detected in the water bodies.

2.1.1. Antibiotics/Enzyme-Inhibitors and Abacavir in Surface-Water

Fifty detections were found in all catchment areas in surface water, which corresponds to 15 different active substances: 12 antibiotics, two enzyme inhibitors, and one antiviral. The number of detections per sampling station ranged from 0 to 7 different active substances. The Ave river—Prazins (Santo Tirso) and Serzedelo I and II (Guimarães) as well as Ria Formosa—coastal water (Faro and Olhão), each one with two sampling sites, showed the most detected compounds in terms of contamination. However, spatial differences in the number of substances between the two water bodies were not evident, categorised by significant urban pressure and animal production, for instance, in the Ria Formosa aquaculture. The samples collected in the Tinto river, near Porto, the second biggest city in Portugal, showed a high frequency of detections of the aforementioned pharmaceuticals. Supplemental Tables S1 and S3 contain a detailed description of the characterisation of sampling stations and the list of all pharmaceuticals detected in surface water. The most frequently detected pharmaceutical in decreasing order were the following: abacavir 69% (9/13), ciprofloxacin, clarithromycin 46% (6/13), erythromycin 38% (5/13)) enrofloxacin, tetracycline 31% (4/13), sulfamethoxazole 23% (3/13) and amoxicillin, lincomycin, trimethoprim 15% (2/13). On the other hand, antibiotics such as azithromycin, norfloxacin, and sulfamethazine were the lowest in detection frequency 8% (1/13). Sulfamethazine was the only detected substance in the reservoir water body, which was located in rural surroundings.
The enzyme-inhibitors demonstrated a low-frequency detection 15% (2/13). In Ave river and Ria Formosa, tazobactam has been found in a catchment area downstream of urban waste treatment plants (hospital/domestic) with equivalent numbers of inhabitants of 396,822 and 113,200, respectively.
North (Guimarães, Santo Tirso and Porto) and Algarve (Faro, Olhão and Portimão) were the regions with the most significant number of substances observed in surface water. In the North, 19 pharmaceuticals were detected (38%) against 16 in the South (32%). No pharmaceutical was detected in the two sampling stations located in the Tejo river, one near the border (Portugal/Spain) and the other in a reservoir, covering both rural areas. All surface water samples were contaminated by at least one antibiotic, while in 62% of the samples, a mixture of more than four active substances co-occurred. Figure 1 shows the frequency (%) of detected substances in surface water.

2.1.2. Antibiotics/Enzyme-Inhibitors and Abacavir in Groundwater

Fifteen active substances were detected in groundwater bodies. The number of detections per sampling station ranged from one to five compounds. The most frequently identified pharmaceuticals, in decreasing order, were ciprofloxacin 43% (3/7), enrofloxacin, norfloxacin, trimethoprim, lincomycin (29% (2/7), abacavir and tetracycline 14% (1/7). The enzyme inhibitors, namely clavulanic acid and cilastatin, were detected once in an urban region located well. This catchment point showed the most significant number of pharmaceuticals. West/Tejo and Centre were the regions with the most considerable number of substances in groundwater, accounting for 43%. All groundwater samples were contaminated by at least one antibiotic. The wells contamination profile is included in Figure 2. Supplemental Tables S2 and S4 contain a detailed description of the characterisation of sampling stations and the list of all pharmaceuticals detected in groundwater.

2.2. Consumption of Antibiotics/Enzyme-Inhibitors and Abacavir

The annual used amount of the different therapeutic groups was markedly more significant for penicillins and tetracyclines, which alone accounted for more than 38% of each one, followed by sulfonamides (7.0%), quinolones (7.0%), macrolides and lincosamides (3.0%) as well as trimethoprim with 0.5%.
The most representative active substances, each with more than one tonne of consumption were: tetracycline, amoxicillin, clavulanic acid, enrofloxacin, ciprofloxacin, lincomycin, sulfamethoxazole, azithromycin, and clarithromycin.
In addition to clavulanic acid (associated with amoxicillin), other detected enzyme-inhibitors, tazobactam and cilastatin, both of exclusive hospital use, showed 717 and 76 kg, respectively. They are applied in combination with piperacillin and imipenem, respectively. Regarding the different regions, it has been concluded that North and West/Tejo were the regions with the higher consuming values. Both regions presented a significant value (33%) for the abacavir. For the detected antiviral abacavir, an amount of 1458 kg has been observed.
Regarding antibiotics used in veterinary medicine, the regional amount was not available. Likewise, due to the reported missing quantity for sulfamethazine, the sulfonamides group has been matched.
The estimated amounts of the consumed medicines in 2017, regarding the detected molecules used in the human primary health care sector/hospital and veterinary medicine, are displayed in Table 1. Figure 3 presents the distribution by those Portuguese regions that match the river basin districts.

2.3. Physicochemical Properties and Key Pharmacokinetic Features of Detected Pharmaceuticals

The detected pharmaceuticals showed high to moderate water solubility and are small ionisable molecules (MW ≤ 900 g/mol). Regarding the octanol/water partitioning coefficient (log Kow) data, macrolide antibiotics (azithromycin and clarithromycin) were the only ones that demonstrated the potential to concentrate in living organisms (log Kow ≥ 3) [14]. All the remaining antibiotics showed a relatively low log Kow and were expected to be present mainly in surface water. However, the soil mobility/adsorption detected substances exhibited different organic carbon adsorption coefficient (log Koc) values. Hence considering the soil mobility potential (0–1.7 very high; 1.7–2.2 high; 2.2–2.7 medium; 2.7–3.3 low; 3.3–3.7 slight; ≥3.7 immobile) according to McCall and adapted from Chen et al. [15], antibiotics were categorised as follows: (1) Very high mobility: tazobactam; (2) Moderate mobility: sulfamethoxazole, sulfamethazine, erythromycin, clarithromycin, trimethoprim; (3) Low mobility: amoxicillin, abacavir; (4) Slight mobility: azithromycin; (5) Immobile: enrofloxacin, ciprofloxacin, norfloxacin, tetracycline. Data for the adsorption coefficients were not available for lincomycin, clavulanic acid and cilastatin. The properties of detected antibiotics and abacavir are included in Table 2.
Pharmacokinetic features were considered to characterise further detected molecules in the analysed water compartment—the percentage of unaltered form excreted by renal and metabolites after biotransformation are depicted in Table 3.
The most significant number of detected substances showed a percentage of unchanged excretion higher than 40%. Renal excretion is relatively frequent; however, faecal excretion is incontestable for lincomycin (79 to 86%).
Regarding bioavailability, antibiotics show high variability among species. For instance, amoxicillin is well absorbed in humans (70%) but may exhibit low bioavailability in pigs (23%). Similarly, the tetracycline group presents a low absorption fraction in pigs. Macrolides also reveal low bioavailability in humans (25–55%).
The metabolites are predominantly excreted as desmethyl-, acetyl-, carboxyl-, sulfoxide, and glucuronide conjugates. It should be highlighted that enrofloxacin is metabolised (20–50%) in the form of ciprofloxacin. Noteworthy to remark is the active metabolite 14-(R)-hydroxy-clarithromycin formed during clarithromycin biotransformation (Table 3).

3. Discussion

For the first time, a preliminary qualitative screening was performed in the Portuguese mainland to identify antibiotics in surface-ground water. The Polar Organic Chemical Integrative Sampler (POCIS) passive sampler and Ultra-performance Liquid Chromatography/Quadrupolo: Time-of-Flight Mass Spectrometry (UHPLC-QqTOF-MS) were used to monitor and analyse, respectively. This methodology is crucial for a preliminary selection of polar organic chemicals of concern which undergoes a diffuse emission into surface water due to continuous release into the environment [57,58,59]. As highlighted by Křesinová et al. [60], the main feature of this monitoring tool is the capacity to follow trace levels of organic contaminants in water bodies, demonstrating adequacy for assessing and managing the groundwater pollution. Several variables need to be considered in passive sampling: biofouling of surface, deployment strategy, and analyte(s) physicochemical properties. In our study, to obtain a view of environmental pressures, the sampling stations were in regions with urban/agricultural/rural impact for 30 days. This deployment time is considered ideal for the adsorption of the highest number of analytes [61].
This survey showed the occurrence of antibiotics in surface- groundwater samples in the Portuguese basin sampling sites, confirming the emission of these pharmaceuticals in the environment. Furthermore, antiviral drugs and enzyme inhibitors (beta-lactamase inhibitors and cilastatin) were also exhibited.
The relatively higher frequency detection of antibiotics downstream of the effluent discharge compared with detection in upstream samples obtained in rural locations was demonstrated and could be attributed to a low efficiency in the urban wastewater treatment plants or due to agricultural pressure.
The higher frequency of detection for most substances was observed in the Ave river and Ria Formosa, confirming that several effluents impact these water bodies from urban wastewater treatment plants and livestock production.
Pharmacokinetic characteristics may represent key features in understanding antibiotics occurrence [62]. Most antibiotics are not completely metabolised in humans and animals; thus, a high percentage of the active substance (40–90%) is excreted in urine/faeces in the unchanged form. These molecules are discharged into water and soil through wastewater, animal manure, and sewage sludge, frequently used as fertilisers to agricultural lands. Also, it is expected that the hospital effluent will contribute partly to the pharmaceutical load in the wastewater treatment plant influence [63]. Afterwards, they may be transferred to groundwater by leaching [64].
Globally in the analysed samples, the most frequently detected antibiotics were fluoroquinolones (ciprofloxacin/enrofloxacin) and macrolides (clarithromycin/erythromycin) as tetracycline and sulfamethoxazole.
In the present study, antibiotic metabolites were not detected in the water bodies. It may be related to their predominant excretion in conjugated form, rivalling or exceeding the parent compounds. These conjugates are presumed to be relatively hydrophilic, well excreted, and discharged into wastewater. Active and inactive metabolites within the wastewater treatment process may drawback [65] via deconjugation into the active substance by microbial enzymes (e.g., glucuronidases, sulfatases).
Enrofloxacin was explicitly developed as veterinary medicine and introduced at the beginning of the 1980s. Thus, its detection suggests pollution sources from livestock farming, which explains why it was found in regions where animal production has prevailed. Ciprofloxacin is the primary degradation product of enrofloxacin. About 13–60% of enrofloxacin is metabolised into ciprofloxacin. Since ciprofloxacin is used in human medicine, its detection in the surface water is also due to wastewater discharge pollution. The fate of these fluoroquinolones in aquatic water bodies is dominated by adsorption (log Koc ≥ 4.2—strong sorption) and photodegradation reactions; they rapidly move from water to soil/sediments and onto organic particles solution, hence the occurrence in surface water. It has been reported that adsorption is more critical than photodegradation, which may be prominent when organic particles levels are low [31,66,67].
Nonetheless, besides the sorption capacity, these antibiotics have high solubility in water. Crucial routes for these substances into the environment are manure from animal production and sewage sludge from wastewater treatment plant (WWTP) used as fertilisers. Therefore, these substances have been evidenced in topsoil samples [68]. These quinolones and other antibiotics, for instance, norfloxacin and tetracycline, have been identified in groundwater samples despite being influenced by sorption processes. They were not readily degraded; instead, the input into groundwater could be due to livestock farming pressure, namely by spreading manure in the soil or the possible sewage sludge application in the area. High clay and low sand content in soils can decrease the mobility of pharmaceuticals, which is attributed to clay intense exchange capacity. Thus, soil properties (e.g. particle composition) are a significant, influential factor, especially relevant to groundwater, namely the input of pollutants [69]. Contrariwise, in our study, the wells were in podzolic soils/alluvial plain characterised by a sandy silt loam soil, favouring the antibiotics leaching to groundwater. In Portugal, in 2017, consumption of tetracyclines was six times higher than enrofloxacin plus ciprofloxacin. However, its frequency of detection in the surface water was similar, indicating differences in physicochemical behaviour, mainly the mobility feature in the environment (log Koc 4.9); studies demonstrated its high sorption capacity to clay materials, soil, and sediments [70]. As discussed above, for the fluoroquinolones (surface-groundwater), in a general sense, tetracycline seems to undertake a similar fate in the environment.
Nevertheless, due to stronger adsorption, with higher emergence in sediment, its occurrence in the surface water is lower [71]. The use of tetracyclines, mainly as medicated premix and oral solution for food-producing animals [72], and the very low bioavailability (e.g. in pig feed) [43] contribute to increasing its release into the environment. Regarding macrolides, erythromycin and clarithromycin exhibit a remarkable frequency of detection in surface water samples. The most frequently detected substance was clarithromycin (46%). Despite our small sampling number, the results follow the trend (58.8%) reported by Loos et al. [11]. In this EU report, azithromycin occurred at a frequency of 17.1% and erythromycin at 8.4%. In our study, the lowest detection frequency was found for azithromycin (8%), but erythromycin indicated higher values (38%). Although clarithromycin and azithromycin are exclusively used in human medicine, erythromycin is parenterally administered in farm animals. Considering the low human consumption, it is thus reasonable to assume that a considerable proportion of erythromycin in surface water may result from veterinary use. This substance has been detected in the Caia region, an area with significant agricultural pressure.
The macrolide antibiotics (azithromycin and clarithromycin) demonstrated a potential tendency to bioaccumulate (log Kow values ≥ 3.0). Research on the determination of macrolide antibiotics in wastewater effluents concluded that they are not eliminated in WWTPs reaching the residual amounts of the surface water [73]. Thus, the removal of macrolides may result from a sorption process on activated sludge flocs and not directly from their biodegradation. However, due to their continuous consumption, it is frequently detected in surface water. Occurrence studies demonstrated that clarithromycin is one of the most frequently pharmaceutical in representative rivers [74,75]. The three macrolides identified in our detection survey are included since 2018 in the first “watch list” [76].
Another group of antimicrobial drugs identified in our survey were sulfamethoxazole/trimethoprim and sulfamethazine. Sulfamethoxazole/trimethoprim are often used combined since the effectiveness of sulfonamides is enhanced. In the present study, the detection of both substances was comparable; however, trimethoprim was detected in groundwater. They are moderately mobile and hydrophilic enough to be transferred into the aquatic environment (log Kow values ≤ 0.91). Different dissipation patterns in water and water:sediment systems were observed. Abiotic degradation and biotransformation were the main elimination pathway for sulfamethoxazole, being the degradation slightly increased in the presence of light, oxygen, and microbes.
Additionally, excreted sulphamethoxazole may contain approximately 30% to 70% acetylated conjugates [77]. The presence of acetylated metabolites such as N4-acetylsulfamethoxazole or N4-acetylsulfamethazine has been identified in WWTP effluents. Some of these metabolites can be converted back to the parent form [78,79]. In contrast to sulfamethoxazole, trimethoprim is not susceptible to photodegradation. The degradation rate was relatively slow, with half-lives around 30 days, explaining its occurrence in groundwater [20,80]. The possible pollution sources are from human and veterinary use. However, the environmental impact may be more critical due to active substances in drinking water or premix medicated feeds in veterinary medicine.
Sulfamethazine and lincomycin used only as veterinary medicines (cattle and swine production) were detected in a limited number of samples. Sulfamethazine was found once in a reservoir body, which presumably receives drain water from animal production. The relatively low sorption coefficients indicate that it is likely to be mobile in the aqueous runoff component following soil application [81]. Lincomycin in surface water was detected only in Algarve downstream from WWTP and was present in two wells. Due to moderate mobility [81], it could be mobilised from animal manure or animal production [82]. Lincomycin was found to leach to groundwater under environmental conditions encountered on the Canadian prairies, indicating that livestock manure management practices may result in antimicrobial surface and groundwater contamination [83].
Three factors may increase its occurrence in the environment: drinking water and premix for medicated feed and the poor oral absorption, and high excretion (79–86%) of the whole molecule through the faeces. Although the original goal was to detect antibiotics, it was observed that abacavir was the most frequently identified substance in our survey; for that reason and the recent academic interest in antiviral drugs, it was included in our study. Abacavir is used exclusively in human medicine in human immunodeficiency virus (HIV) infection treatment. Abacavir was detected in 11 of 13 surface sampling stations and one groundwater sampling station. Some studies demonstrated that abacavir is practically (>80%) removed from wastewater [84]. It undergoes phototransformation and biotransformation through oxidation of the terminal hydroxyl group to carboxy transformation products. Thus, abacavir was detected in influents while its carboxy-transformation products were the major components in effluents after transformation [84,85,86,87]. Studies concerning antiviral substances in the water bodies did not report the presence of abacavir in surface water and groundwater [88,89]. In our study, the detection of abacavir in surface-groundwater could be related to the weak efficiency of urban wastewater treatment plants. For the first time, as far as we know, clavulanic acid, cilastatin and tazobactam were detected in water bodies. Cilastatin inhibits dehydropeptidase, an enzyme found in the kidneys responsible for degrading antibiotics. Clavulanic acid and tazobactam are β-lactamase inhibitors both used in combination with antibiotics. Clavulanic acid is used in combination with amoxicillin, tazobactam with piperacillin/ceftolozane and cilastatin with the antibiotic imipenem. Piperacillin, ceftolozane and imipenem are antibiotics of exclusive hospital use [90]. Little is known about the behaviour of clavulanic acid and cilastatin in the environment. Tazobactam is a very high mobile hydrophilic substance; therefore, it could move quickly towards surface water. The most likely pollution source of these enzyme inhibitors is hospital wastewater. Cilastatin was recovered in groundwater from a well where most of the antibiotics were also found. This well was in a river basin in which a sandy silt loam soil predominates.
All β-lactam antibiotics are rapidly degraded by biotic and abiotic processes [90]. However, in the present study, amoxicillin was detected in a sampling station, probably due to its high consumption (44 tonnes in human medicines). Besides its use in human medicine, amoxicillin is also widely used for treating and preventing animal diseases in many domestic and livestock animals. Several formulations of powder for administration in drinking water and medicated premix are available for poultry and pigs. The excretion of amoxicillin is predominantly renal; more than 80% of the parent drug is recovered unchanged in the urine. While bioavailability of 75 to 80% is reported in humans, a low value (~30%) was observed in pigs, calves, foals, and pigeons [26,52]. Maybe this last group of animals contribute more sharply to the release of this substance into the environment. In water, amoxicillin has a hydrolysis half-life of approximately 20 days (pH 7) [11,91]. Intermediate products generated from amoxicillin degradation are suspected to be more resistant to degradation and potentially more toxic than the parent compound [90,91]. The main problem related to the presence of this antimicrobial substance is the risk of inducing antimicrobial resistance genes [11,90]. Amoxicillin-S-oxide metabolite was reported as an oxidised degradation product derived by the indirect photolysis process. This β-lactam ring compound in aquatic environments may be of concern because it is still active [92]. Recently amoxicillin was included in the ’watch list’ in the Commission Implementing Decision (EU) 2018/840 [93].
A linkage between the detection frequency of antibiotics and their consumption was not established. However, the consumption amount is an essential complement for predicting a possible occurrence in the environment. It is reasonable to assume, from the obtained results, that various factors such as sorption and wastewater treatment influence the ratio occurrence/consumption [94]. Detailed information is missing on consumption data for veterinary medicinal products. However, considering the spot treatment approach, a trend between detection/consumption could be accepted locally.
As a concluding remark, we should emphasize that these substances have played a significant role in increasing life expectancy and the development of medical sciences. However, their prolonged use in agriculture and livestock industries, as a growth promoter, for treating animal infections, prophylaxis, and meta-prophylaxis has led to relevant antibiotic consumption worldwide. The use and misuse of antibiotics has stimulated the faster emergence of antibiotic-resistant bacteria and resistance genes, reducing their therapeutic potential against human and animal pathogens [94]. It is now clear that the environment is a vast reservoir of resistant organisms and their associated genes; thus, it is essential to understand environmental resistome and how its mobilisation into pathogenic bacteria may occur [94]. Several questions remain, but there is no doubt that exposure to antibiotics via agricultural practice and wastewater treatments are relevant contributing factors. In addition, microorganisms exposed to antibiotics at low, sub-lethal or sub-inhibitory exposure concentrations can develop, or acquire, antimicrobial resistance, which is now recognised as a significant threat to public health [95,96,97,98,99,100]. Contamination of surface water and groundwater by veterinary antimicrobials due to manure application is a cause of concern [101] regarding the emergence of antimicrobial-resistant bacteria in the water [83]. Additionally, the impacts of antibiotics on microbial communities and the abundance of resistance genes have also been described [102].

The Need for the Ecopharmacovigilance

Research remains to be completed, focusing on either fate and ecotoxicological effects of these substances and the eco-resistance issue. In this regard, the occurrence of antibiotics/antivirals in water bodies raises concerns regarding the potential risk for all three components of the one health triad. As discussed before, the detected substances in water bodies may be related to their continuous release into the environment. These molecules belong to authorised medicinal products that have been consumed for several years. Their environmental risk assessment data is rudimentary or even missing.
The obtained results in this monitoring survey highlighted the imperative need to implement an ecopharmacovigilance framework. Holm et al. [103] reviewed, and similar to the pharmacovigilance system already implemented, eco-pharmacovigilance most significant challenge is the signal detection in the environment and the identification of cause-effect. Contrasting other pharmacotherapeutic groups, despite the complexity of detecting the cause-effect, the signal of bacterial resistance could be used to help manage this problem.
In short, the understanding of resistance should be incorporated in a comprehensive Environmental Risk Assessment (ERA) and risk characterisation based not only on ecotoxicological endpoints but also on minimum selective concentrations (MSCs) endpoints.
The current survey study is a powerful tool in the ecopharmacovigilance context. The results should be communicated, for instance, to healthcare professionals reinforcing the prudent use of these molecules. Moreover, considering the national specificity of such outcomes, recommendations should be included in antibiotic medicines regulation technical documents such as Summary Product Characteristics.

4. Materials and Methods

4.1. Study Area/Sampling Stations and Characterisation

The study area (Portuguese mainland) comprised all river basin districts. Sampling campaigns were performed during 2017, 2018 and 2019 in four periods of 30 days each: March–April, April–May, May–June and Set-Out.
Eighteen sampling stations were in the main river basins and their tributaries, reservoirs, transitional waters, and coastal waters for surface-water monitoring. In each of them, a passive sampling system was placed 50 cm deep into the water column during the periods of reduced river flow rate and hold in place for approximately 30 days. However, it was only possible to collect samples from 13 stations due to the damage of the passive sampler in the remaining ones. Groundwater samples were collected in wells from seven sampling stations. The placement of passive samplers in groundwater considered the well technical features; the depth and groundwater level were previously determined since they should be detected at the superficial levels. The passive sampler was placed using a water level meter, 2 m below the groundwater level. The sampler always remained immersed in water, avoiding extractions and the regional lowering of the water table [104]. For the sampling stations, sites of different environmental pressures were considered, specifically urban, agricultural area/animal production, and aquaculture. The information regarding the potential risks of each source was obtained on the River Basin Management Plans and the CORINE Land Cover 2018 [105]. The sampling sites are shown in Figure 4a,b.

4.2. Materials and Chemicals

4.2.1. Passive Sampler Field Deployment

The passive sampler Polar Organic Chemical Integrative Sampler (POCIS) used in this study is a hydrophilic-lipophilic balance (HLB) polymer of divinylbenzene vinylpyrrolidone enclosed between two polyether sulphone (PES) membranes. This PES has the advantage of little biofouling, allows the qualitative detection of many organic compounds in the dissolved phase, including antibiotics. The field deployment uses, for surface waters, a canister, and inside two individual POCIS units were performed to protect each POCIS. In rivers, the column of water deployment was done with medium or low flows; otherwise, POCIS might be damage. In ground-waters was used one POCIS unit/well. Due to the high sorption capacity, POCIS was deployed approximately for 30 days, allowing the polar organic compounds adsorbed to be in the equilibrium stage with the active substances in an aqueous medium. In the laboratory, POCIS disks were frozen until extraction.

4.2.2. Qualitative Analysis Method Used for the Characterisation of Antibiotics in Surface-Groundwater

This methodology involved two steps corresponding to the extraction of the adsorbent of POCIS extraction disks and subsequent qualitative determination by Ultra Performance Liquid Chromatography-High Resolution Mass Spectrometry (UHPLC-QqTOF-MS).

Sample Extraction

After drying the POCIS disks, the membrane on one side of the support was cut. The adsorbent was transferred to an empty cartridge, extracted five times with 2 mL of methanol, making a total volume of 10 mL collected in a glass vial. This extract was concentrated under nitrogen current to a final volume of about 1 ml. To the extract was added the 13C3 internal caffeine standard. The extract in methanol is taken to dryness in rotavapor under vacuum at 35 °C and reconstituted in a mixture of water/methanol (v:v 4:1) for subsequent injection into the UHPLC-QqTOF-MS system. For surface water samples, two discs for sampling collection were analysed. The adsorbents of the duplicated discs were extracted simultaneously. In the case of groundwater samples, only one POCIS sampler was used per collection point.

Ultra-Performance Liquid Chromatography-High Resolution Mass Spectrometry (UHPLC-QqTOF-MS) Analysis

Extracts were analysed on a UHPLC-QqTOF-MS system composed of an UltiMate® 3000 RSLCnano system (Thermo Scientific Inc., Waltham, MA, USA), interfaced with a QqTOF Impact II mass spectrometer with an ESI source (Bruker Daltonics, Bremen, Germany). Three aliquots were analysed in both ESI positive and negative mode for each water extract, and as a control, a “blank” sample of the mixture water/methanol (4:1).
Chromatographic separation was achieved with a Kinetex C18 column (150 × 2.1 mm; 2.6 μm particle size; Phenomenex, Torrance, CA, USA), using an elution gradient of 0.1% v/v formic acid in water (mobile phase A) and 0.1% v/v formic acid in acetonitrile (mobile phase B), at a flow rate of 200 μL/min. The elution conditions were as follows: 0–1.4 min, isocratic 7% B; 1.4–10.0 min, linear gradient to 50% B; 10–15 min, linear gradient to 100% B; 15–18 min isocratic 100% B; 18–19 min, linear gradient to 7% B; 19–25 min, isocratic to 7% B. The injection volume was 20 µL. The column and the autosampler were maintained at 35 °C and 8 °C, respectively. The mass spectrometer parameters were set as follows: endplate offset: 500 V; capillary voltage: 4.5 and 2.5 kV (positive and negative mode, respectively); nebuliser: 2.8 bars; dry gas: 8 L/min; dry temperature: 200 °C. Internal calibration was performed for sodium formate clusters, with a sodium formate solution 10 mM introduced to the ion source via a 20 µL loop, at the beginning of each analysis using a six-port valve. Calibration was then performed using high-precision calibration mode (HPC). The mass spectra were acquired in the broadband collision-induced dissociation (bbCID) mode in a range between 50–1000 m/z, with a scan speed of 1 Hz. MS/MS experiments were performed in a data-dependent-acquisition (DDA) mode with an acquisition rate of 3 Hz using a dynamic method with a fixed cycle time of 3 s. Dynamic exclusion duration was 0.4 min. The 49 standards were analysed in the MRM acquisition mode, with collision energy defined according to the mass, load of each ion and an isolation window of 5 Da. Under the instrumental conditions used, the TOF (FWHM) resolution power is between 36,000–40,000 to m/z 226.1593, 430.9137 and 702.8636.

4.2.3. Data Analysis and Validation

Mass spectrometry data were processed using the Data Analysis 4.4 and Target Analysis 1.3 software (Bruker Daltonics). An in-house mass library was built for 49 standards plus 620 suspected substances (insecticides, fungicides, herbicides, drugs, metabolites). For the 49 standards previously analysed by MRM, the database includes the expected retention time, accurately measured mass, molecular formula, and qualifier ions for each standard compound. The (possible) elemental composition of peaks of interest was calculated using the algorithm Smart Formula 3D within Bruker software for the remaining compounds. This library was used for accurate mass screening for (non)target compounds and unknowns using the Find-Compounds-Chromatogram via SigmaFiTTM tools of the Target Analysis software, which creates a “peak chromatogram base” for m/z values above a threshold intensity value. Values for retention time deviation lower than 0.3 min; mass deviation less than 5 ppm and mSigma less than 100 were considered acceptable for positive confirmation (mSigma < 100, acceptable, <50 good, and <25 excellent). After screening in Target Analysis, the Data Analysis potentialities were then used to check the data manually. Analysing the samples with a QqTOF mass spectrometer, the pharmaceuticals in complex matrices were detected at concentrations as low as 50 ng/L.

4.2.4. Chemicals and Reagents

Methanol HPLC Ultragradient Gold, formic acid 99% and ammonia solution 25% were purchased from Carlo Erba Reagents, SAS (Marseille, France). H2O - Pierce™. Water, acetonitrile and formic acid LC-MS grade Optima® were from Fisher Chemical (Hampton, NH, USA), state abbrev if USA, country). Caffeine-13C3 (99%, 1 mg/mL in methanol) was obtained from Sigma-Aldrich (Schnelldorf, Germany). Standards (purity ≥97%) of all the chemicals listed (tert-butylazine; desethyl-tert-butylazine; dimethoate; atrazine; desethylatrazine; tebuconazole; alachlor; omethoate; bentazone; diuron; linuron; chlorotoluron; cymoxanil; thiamethoxam; clothianidin; imidacloprid; acetamiprid; thiacloprid; simazine; isoproturon; cybutryne; methiocarb; quinoxyfen; chlorpyrifos; 2,4D; MCPP; aclonifen; bifenox; MCPA; dichlorvos; bezafibrate; ibuprofen; amoxicillin·3H2O; azithromycin; diclofenac; α-ethinylestradiol; β-estradiol; erythromycin; clarithromycin; trimethoprim; ciprofloxacin; enrofloxacin; sulfamethoxazole; bisoprolol; carbamazepine) were purchased from Sigma-Aldrich.

4.3. Consumption of Detected Antibiotics

Information on pharmaceuticals sales data (corresponding to 2017) by the package, pharmaceutical form, and quantitative composition relative to the detected antibiotics, were obtained from the Department for the Medicine’s Economic Assessment of the INFARMED, thus allowing estimation of the amount of active substance for each compound [106]. These substances comprise the exclusive hospital use medicines and human primary health care sector. The data of antibiotics explicitly used in farm animals were gathered on the ESVAC report [107].

4.4. Physicochemical Properties and Key Pharmacokinetic Features of Detected Antibiotics

A review focused on the primary physicochemical and pharmacological characteristics was performed to interpret the possible correlations between the detected and consumed antibiotics. Pharmacokinetic features of antibiotics, particularly the proportion of excretion as the parent compound and bioavailability, may contribute to a major or lesser environmental impact related to the corresponding reported occurrence in different environmental compartments [62]. Thus, besides degradation products found in the environment, knowledge of metabolic reactions in the human body and the treated animal was considered. Metabolites will be herein referred to as the molecules resulting from biotransformation of the chemical structure within the body of humans and treated animals. The main pharmacokinetic features were summed up in Table 3. The physicochemical properties were gathered up in Table 2.

5. Conclusions

The passive sampler (POCIS) allows an increase of sensitivity not achievable with grab sampling monitoring in surface water and groundwater. The detection and the unequivocal identification of antibiotics/enzyme inhibitors and antiviral substances were performed with liquid chromatography-high resolution mass spectrometry.
The most frequently detected active substances in surface water were as follows: enrofloxacin/ciprofloxacin, clarithromycin/erythromycin, tetracycline, sulfamethoxazole, and abacavir. In groundwater, enrofloxacin/ciprofloxacin, norfloxacin, trimethoprim, lincomycin, abacavir and tetracycline were recovered. Metabolites were not detected in water bodies. Noticeable was the detection of enzyme inhibitors, tazobactam and cilastatin, which are both for exclusive hospital use. The North region and Algarve (South) were the areas with the most significant frequency of substances in surface water. The relatively higher detection of substances downstream of the effluent discharge points compared with a low detection in upstream samples could be attributed to the low efficiency in urban wastewater treatment plants or agricultural pressure. The environmental impact is more critical due to active substances in drinking water or premix medicated feeds in the veterinary site.
Furthermore, the detection of substances of exclusive human use (abacavir, tazobactam and cilastatin) prove the weak efficiency of urban wastewater treatment plants. Groundwater contamination was demonstrated upon the presence of substances in wells. A linkage between the detection frequency of detected substances and their consumption was not established.
This screening approach is essential not only to identify substances in order to perform further quantitative environmental risk assessment but also to establish possible water quality standards and confirm the classification of these molecules as possible priority or priority hazardous substances.
The greatest challenge of this survey data will be to promote an ecopharmacovigilance framework, implementing measures to avoid misuse/overuse of antibiotics and slow down emission and antibiotic resistance. The information and the analysis provided in this work has highlighted the imperative need to implement such an ecopharmacovigilance framework.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/antibiotics10080888/s1, Table S1. Surface-water: characterisation of the sampling stations; Table S2. Groundwater: characterisation of the sampling stations; Table S3. Detection of frequency and geographic distribution of Pharmaceuticals in Surface Water (2017_2018_2019) March-April, April-May, May-June and Set-Out; Table S4. Detection of frequency and geographic distribution of Pharmaceuticals in groundwater (2017_2018_2019).

Author Contributions

Conceptualization, P.V., L.M. and A.A.; Methodology, P.V., A.L.; Software, R.d.J.; Formal analysis, G.S., A.F., M.M.C.d.S., M.C.O.; validation, M.C.O.; writing—review and editing, S.D. and B.S.; supervision, P.V., L.M. and A.A.; funding acquisition, A.L. All authors have read and agreed to the published version of the manuscript.

Funding

The work was supported by: (1) RNEM (Portuguese Mass Spectrometry Network) funding from LISBOA-01-0145-FEDER-022125-IST and Project POSEUR-03-2013-FC-000001, programme “Melhoria da avaliação do estado das massas de água”; (2) APA (Agência Portuguesa do Ambiente) funding from POSEUR-03-2013-FC-000001, programme “Melhoria da Avaliação do Estado das Massas de Água”—“Aplicação de métodos inovadores na avaliação de compostos emergentes em massas de água superficiais e subterrâneas”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Fent, K.; Weston, A.A.; Caminada, D. Ecotoxicology of Human Pharmaceuticals. Aquat. Toxicol. 2006, 76, 122–159. [Google Scholar] [CrossRef]
  2. Cunningham, V.L. Special Characteristics of Pharmaceuticals Related to Environmental Fate. Pharm. Environ. 2004, 13–24. [Google Scholar] [CrossRef]
  3. Jjemba, P.K. Excretion and Ecotoxicity of Pharmaceutical and Personal Care Products in the Environment. Ecotoxicol. Environ. Saf. 2006, 63, 113–130. [Google Scholar] [CrossRef]
  4. Ding, C.; He, J. Effect of Antibiotics in the Environment on Microbial Populations. Appl. Microbiol. Biotechnol. 2010, 87, 925–941. [Google Scholar] [CrossRef]
  5. Manaia, C.M.; Rocha, J.; Scaccia, N.; Marano, R.; Radu, E.; Biancullo, F.; Cerqueira, F.; Fortunato, G.; Iakovides, I.C.; Zammit, I.; et al. Antibiotic Resistance in Wastewater Treatment Plants: Tackling the Black Box. Environ. Int. 2018, 115, 312–324. [Google Scholar] [CrossRef]
  6. Manaia, C.M.; Graham, D.; Topp, E.; Martinez, J.L.; Collignon, P.; Gaze, W.H. Antibiotic Resistance in the Environment: Expert Perspectives. Handb. Environ. Chem. 2020, 91, 1–18. [Google Scholar] [CrossRef]
  7. Harman, C.; Allan, I.J.; Vermeirssen, E.L.M. Calibration and Use of the Polar Organic Chemical Integrative Sampler-a Critical Review. Environ. Toxicol. Chem. 2012, 31, 2724–2738. [Google Scholar] [CrossRef]
  8. European Commission. Communication from the Commission to the European Parliament, the Council, and the European Economic and Social Committee: European Union Strategic Approach to Pharmaceuticals in the Environment; European Commision: Brussels, Blgium, 2019; Volume 128, p. 13. [Google Scholar]
  9. EC DIRECTIVE 2013/39/EU of the European Parliament and of the Council, Brussels, Belgium. 2013. Available online: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2013:226:0001:0017:EN:PDF (accessed on 3 May 2021).
  10. EC DIRECTIVE 2008/105/EC of the European Parliament and of the Council, Brussels, Belgium. 2008. Available online: https://www.ecolex.org/details/legislation/directive-2008105ec-of-the-european-parliament-and-of-the-council-on-environmental-quality-standards-in-the-field-of-water-policy-amending-and-subsequently-repealing-council-directives-82176eec-83513eec-84156eec-84491eec-86280eec-and-amending-directive-200060ec-of-the-european-parliament-and-of-the-council-lex-faoc084568/ (accessed on 3 May 2021).
  11. Loos, R.; Marinov, D.; Sanseverino, I.; Napierska, D.; Lettieri, T. Review of the 1st Watch List under the Water Framework Directive and Recommendations for the 2nd Watch List; EUR 29173 EN; Publications Office of the European Union: Luxembourg, 2018; p. JRC111198. [Google Scholar] [CrossRef]
  12. European Commission. Guidance Document No. 19 Guidance on Surface Water Chemical Monitoring under the Water Framework Directive, Brussels, Belgium. 2009. Available online: https://op.europa.eu/en/publication-detail/-/publication/91d313f0-2cc7-4874-b101-a7dba97401b0 (accessed on 3 May 2021).
  13. Garcia-Rodríguez, A.; Fontàs, C.; Matamoros, V.; Almeida, M.I.G.S.; Cattrall, R.W.; Kolev, S.D. Development of a Polymer Inclusion Membrane-Based Passive Sampler for Monitoring of Sulfamethoxazole in Natural Waters. Minimising the Effect of the Flow Pattern of the Aquatic System. Microchem. J. 2016, 124, 175–180. [Google Scholar] [CrossRef]
  14. EMA. A Guideline on the Environmental Risk Assessment of Medicinal Products for Human Use, EMEA/CHMP/SWP/4447/00 Rev. 1 2018, Amsterdam, The Netherlands. 2018. Available online: https://www.ema.europa.eu/en/environmental-risk-assessment-medicinal-products-human-use (accessed on 30 May 2021).
  15. Chen, W.; Son, L.; Gan, N.; Li, L. Sorption, Degradation and Mobility of Microcystins in Chinese Agriculture Soils: Risk Assessment for Groundwater Protection. Environ. Pollut. 2006, 144, 752–758. [Google Scholar] [CrossRef]
  16. Drug Bank Online. Available online: https://go.drugbank.com/ (accessed on 3 May 2021).
  17. European Chemicals Agency. Available online: https://Echa.Europa.Eu/Registration-Dossier/-/Registered-Dossier/12616/5/5/2 (accessed on 3 May 2021).
  18. Chee-Sanford, J.C.; Mackie, R.I.; Koike, S.; Krapac, I.G.; Lin, Y.-F.; Yannarell, A.C.; Maxwell, S.; Aminov, R.I. Fate and Transport of Antibiotic Residues and Antibiotic Resistance Genes Following Land Application of Manure Waste. J. Environ. Qual. 2009, 38, 1086–1108. [Google Scholar] [CrossRef] [Green Version]
  19. Zhang, J.Q.; Dong, Y. Hua Effect of Low-Molecular-Weight Organic Acids on the Adsorption of Norfloxacin in Typical Variable Charge Soils of China. J. Hazard. Mater. 2008, 151, 833–839. [Google Scholar] [CrossRef]
  20. Nguyen Dang Giang, C.; Sebesvari, Z.; Renaud, F.; Rosendahl, I.; Hoang Minh, Q.; Amelung, W. Occurrence and Dissipation of the Antibiotics Sulfamethoxazole, Sulfadiazine, Trimethoprim, and Enrofloxacin in the Mekong Delta, Vietnam. PLoS ONE 2015, 10. [Google Scholar] [CrossRef] [Green Version]
  21. ECETOC Environmental Exposure Assessment of Ionisable Organic Compounds—ECETOC Technical Report No. 123; Brussels, Belgium. 2013. Available online: https://www.ecetoc.org/wp-content/uploads/2014/08/ECETOC-TR-123-Environmental-risk-assessment-of-ionisable-compounds.pdf (accessed on 3 May 2021).
  22. National Library of Medicine. Available online: https://Pubchem.Ncbi.Nlm.Nih.Gov/Compound/Azithromycin#section=ATC-Code (accessed on 3 May 2021).
  23. National Library of Medicine. Available online: https://Pubchem.Ncbi.Nlm.Nih.Gov/Compound/Clarithromycin (accessed on 3 May 2021).
  24. Botton, M.J. Veterinary Antibiotics in the Terrestrial Environment. Available online: https://Www.Envchemgroup.Com/Veterinary-Antibiotics-in-the-Terrestrial-Environment.Html (accessed on 3 May 2021).
  25. CHMP. Committee for Medicinal Products for Human Use (CHMP)—CHMP Assessment Report; Zerbaxa (International Non-Proprietary Name: Ceftolozane/Tazobactam): London, UK, 2015. [Google Scholar]
  26. Reyns, T.; de Boever, S.; Baert, K.; Croubels, S.; Schauvliege, S.; Gasthuys, F.; de Backer, P. Disposition and Oral Bioavailability of Amoxicillin and Clavulanic Acid in Pigs. J. Vet. Pharmacol. Ther. 2007, 30, 550–555. [Google Scholar] [CrossRef]
  27. Hirsch, R.; Ternes, T.; Haberer, K.; Kratz, K.L. Occurrence of Antibiotics in the Aquatic Environment. Sci. Total Environ. 1999, 225, 109–118. [Google Scholar] [CrossRef]
  28. Suarez-Kurtz, G.; Ribeiro, F.M.; Vicente, F.L.; Struchiner, C.J. Development and Validation of Limited-Sampling Strategies for Predicting Amoxicillin Pharmacokinetic and Pharmacodynamic Parameters. Antimicrob. Agents Chemother. 2001, 45, 3029–3036. [Google Scholar] [CrossRef] [Green Version]
  29. INFARMED. Anexo I—Resumo das Características do Medicamento; Amoxicilina Aurobindo: Lisbon, Potugal, 2021. [Google Scholar]
  30. Slana, M.; Dolenc, M.S. Environmental Risk Assessment of Antimicrobials Applied in Veterinary Medicine-A Field Study and Laboratory Approach. Environ. Toxicol. Pharmacol. 2013, 35, 131–141. [Google Scholar] [CrossRef]
  31. Zhou, X.; Chen, C.; Yue, L.; Sun, Y.; Ding, H.; Liu, Y. Excretion of Enrofloxacin in Pigs and Its Effect on Ecological Environment. Environ. Toxicol. Pharmacol. 2008, 26, 272–277. [Google Scholar] [CrossRef]
  32. LeBel, M. Ciprofloxacin: Chemistry, Mechanism of Action, Resistance, Antimicrobial Spectrum, Pharmacokinetics, Clinical Trials, and Adverse Reactions. Pharmacother. J. Hum. Pharmacol. Drug Ther. 1988, 8, 3–30. [Google Scholar] [CrossRef]
  33. EMA. Enrofloxacin Summary Report 1; Committee for Veterinary Medicinal Products: London, UK, 1998; pp. 1–3. [Google Scholar]
  34. Stein, G.E. Review of the Bioavailability and Pharmacokinetics of Oral Norfloxacin. Am. J. Med. 1987, 82, 18–21. [Google Scholar] [CrossRef]
  35. Straub, J.O. Aquatic Environmental Risk Assessment for Human Use of the Old Antibiotic Sulfamethoxazole in Europe. Environ. Toxicol. Chem. 2016, 35, 767–779. [Google Scholar] [CrossRef] [Green Version]
  36. Vree, T.B.; O’Reilly, W.J.; Hekster, Y.A.; Damsma, J.E.; van der Kleijn, E. Determination of the Acetylator Phenotype and Pharmacokinetics of Some Sulphonamides in Man. Clin. Pharmacokinet. 1980, 5, 274–294. [Google Scholar] [CrossRef]
  37. LeBel, M. Pharmacokinetic Properties of Clarithromycin: A Comparison with Erythromycin and Azithromycin. Can. J. Infect. Dis. 1993, 4, 148–152. [Google Scholar] [CrossRef] [Green Version]
  38. Sun, H.; Frassetto, L.A.; Huang, Y.; Benet, L.Z. Hepatic Clearance, but Not Gut Availability, of Erythromycin is Altered in Patients with End-Stage Renal Disease. Clin. Pharmacol. Ther. 2010, 87, 465–472. [Google Scholar] [CrossRef] [Green Version]
  39. Suzuki, A.; Iida, I.; Hirota, M.; Akimoto, M.; Higuchi, S.; Suwa, T.; Chiba, K.; Tani, M.; Ishizaki, T. CYP Isoforms Involved in the Metabolism of Clarithromycin in Vitro: Comparison between the Identification from Disappearance Rate and That from Formation Rate of Metabolites. Drug Metab. Pharmacokinet. 2003, 18, 104–113. [Google Scholar] [CrossRef] [Green Version]
  40. Goldman, J.L.; Leeder, J.S.; van Haandel, L.; Pearce, R.E. In Vitro Hepatic Oxidative Biotransformation of Trimethoprim. Drug Metab. Dispos. 2015, 43, 1372–1380. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Nielsen, P.; Gyrd-Hansen, N. Oral Bioavailability of Sulphadiazine and Trimethoprim in Fed and Fasted Pigs. Res. Vet. Sci. 1994, 56, 48–52. [Google Scholar] [CrossRef]
  42. Agwuh, K.N.; MacGowan, A. Pharmacokinetics and Pharmacodynamics of the Tetracyclines Including Glycylcyclines. J. Antimicrob. Chemother. 2006, 58, 256–265. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Nielsen, P.; Gyrd-Hansen, N. Bioavailability of Oxytetracycline, Tetracycline and Chlortetracycline after Oral Administration to Fed and Fasted Pigs. J. Vet. Pharmacol. Ther. 1996, 19, 305–311. [Google Scholar] [CrossRef] [PubMed]
  44. Hornish, R.E.; Gosline, R.E.; Nappier, J.M. Comparative Metabolism of Lincomycin in the Swine, Chicken, and Rat. Drug Metab. Rev. 1987, 18, 177–214. [Google Scholar] [CrossRef] [PubMed]
  45. EMA. Lincomycin Summary Report 1; Committee for Veterinary Medicinal Products: London, UK, 1998; pp. 1–10. [Google Scholar]
  46. Halstenson, C.E.; Wong, M.O.; Johnson, C.A.; Zimmerman, S.W.; Onorato, J.J.; Keane, W.F.; Doepner, M.; Sia, L.; Tantillo, K.; Bansal, S.; et al. Pharmacokinetics of Tazobactam M1 Metabolite After Administration of Piperacillin/Tazobactam in Subjects with Renal Impairment. J. Clin. Pharmacol. 1994, 34, 1208–1217. [Google Scholar] [CrossRef]
  47. Westphal, J.F.; Brogard, J.M.; Caro-Sampara, F.; Adloff, M.; Blicklé, J.F.; Monteil, H.; Jehl, F. Assessment of Biliary Excretion of Piperacillin-Tazobactam in Humans. Antimicrob. Agents Chemother. 1997, 41, 1636–1640. [Google Scholar] [CrossRef] [Green Version]
  48. EMA. Anexo I-Resumo Das Características Do Medicamento–Zerbaxa. 2010. Available online: https://www.ema.europa.eu/en/documents/product-information/zerbaxa-epar-product-information_es.pdf (accessed on 3 May 2021).
  49. Adam, D.; de Visser, I.; Koeppe, P. Pharmacokinetics of Amoxicillin and Clavulanic Acid Administered Alone and in Combination. Antimicrob. Agents Chemother. 1982, 22, 353–357. [Google Scholar] [CrossRef] [Green Version]
  50. Bolton, G.C.; Allen, G.D.; Davies, B.E.; Filer, C.W.; Jeffery, D.J. The Disposition of Clavulanic Acid in Man. Xenobiotica 1986, 16, 853–863. [Google Scholar] [CrossRef]
  51. Reyns, T.; de Boever, S.; de Baere, S.; de Backer, P.; Croubels, S. Tissue Depletion of Amoxicillin and Its Major Metabolites in Pigs: Influence of the Administration Route and the Simultaneous Dosage of Clavulanic Acid. J. Agric. Food Chem. 2008, 56, 448–454. [Google Scholar] [CrossRef] [PubMed]
  52. Reyns, T.; de Boever, S.; Schauvliege, S.; Gasthuys, F.; Meissonnier, G.; Oswald, I.; de Backer, P.; Croubels, S. Influence of Administration Route on the Biotransformation of Amoxicillin in the Pig. J. Vet. Pharmacol. Ther. 2009, 32, 241–248. [Google Scholar] [CrossRef]
  53. EMA. Annex I—Summary of Product Characteristics-Recabrio. 2021. Available online: https://www.ema.europa.eu/en/medicines/human/EPAR/recarbrio (accessed on 3 May 2021).
  54. Reed, M.D.; Stern, R.C.; O’Brien, C.A.; Yamashita, T.S.; Myers, C.M.; Blumer, J.L. Pharmacokinetics of Imipenem and Cilastatin in Patients with Cystic Fibrosis. Antimicrob. Agents Chemother. 1985, 27, 583–588. [Google Scholar] [CrossRef] [Green Version]
  55. Infomed. Available online: https://Extranet.Infarmed.Pt/INFOMED-Fo/ (accessed on 3 May 2021).
  56. MedVet. Available online: https://Medvet.Dgav.Pt/ (accessed on 3 May 2021).
  57. Von der Ohe, P.C.; Dulio, V.; Slobodnik, J.; de Deckere, E.; Kühne, R.; Ebert, R.U.; Ginebreda, A.; de Cooman, W.; Schüürmann, G.; Brack, W. A New Risk Assessment Approach for the Prioritisation of 500 Classical and Emerging Organic Microcontaminants as Potential River Basin Specific Pollutants under the European Water Framework Directive. Sci. Total Environ. 2011, 409, 2064–2077. [Google Scholar] [CrossRef]
  58. Tsaboula, A.; Papadakis, E.N.; Vryzas, Z.; Kotopoulou, A.; Kintzikoglou, K.; Papadopoulou-Mourkidou, E. Environmental and Human Risk Hierarchy of Pesticides: A Prioritisation Method, Based on Monitoring, Hazard Assessment and Environmental Fate. Environ. Int. 2016, 91, 78–93. [Google Scholar] [CrossRef]
  59. Van den Brink, P.J.; Boxall, A.B.A.; Maltby, L.; Brooks, B.W.; Rudd, M.A.; Backhaus, T.; Spurgeon, D.; Verougstraete, V.; Ajao, C.; Ankley, G.T.; et al. Toward Sustainable Environmental Quality: Priority Research Questions for Europe. Environ. Toxicol. Chem. 2018, 37, 2281–2295. [Google Scholar] [CrossRef] [Green Version]
  60. Křesinová, Z.; Petrů, K.; Lhotský, O.; Rodsand, T.; Cajthaml, T. Passive Sampling of Pharmaceuticals and Personal Care Products in Aquatic Environments. Eur. J. Environ. Sci. 2016, 6, 43–56. [Google Scholar] [CrossRef] [Green Version]
  61. Rico, A.; Arenas-Sánchez, A.; Alonso-Alonso, C.; López-Heras, I.; Nozal, L.; Rivas-Tabares, D.; Vighi, M. Identification of Contaminants of Concern in the Upper Tagus River Basin (Central Spain). Part 1: Screening, Quantitative Analysis and Comparison of Sampling Methods. Sci. Total Environ. 2019, 666, 1058–1070. [Google Scholar] [CrossRef]
  62. Almeida, A.; Duarte, S.; Nunes, R.; Rocha, H.; Pena, A.; Meisel, L. Human and Veterinary Antibiotics Used in Portugal—A Ranking for Ecosurveillance. Toxics 2014, 2, 188–225. [Google Scholar] [CrossRef]
  63. Santos, L.H.M.L.M.; Gros, M.; Rodriguez-Mozaz, S.; Delerue-Matos, C.; Pena, A.; Barceló, D.; Montenegro, M.C.B.S.M. Contribution of Hospital Effluents to the Load of Pharmaceuticals in Urban Wastewaters: Identification of Ecologically Relevant Pharmaceuticals. Sci. Total Environ. 2013, 461–462, 302–316. [Google Scholar] [CrossRef] [Green Version]
  64. Berendsen, B.J.A.; Lahr, J.; Nibbeling, C.; Jansen, L.J.M.; Bongers, I.E.A.; Wipfler, E.L.; van de Schans, M.G.M. The Persistence of a Broad Range of Antibiotics during Calve, Pig and Broiler Manure Storage. Chemosphere 2018, 204, 267–276. [Google Scholar] [CrossRef]
  65. Brown, A.K.; Wong, C.S. Distribution and Fate of Pharmaceuticals and Their Metabolite Conjugates in a Municipal Wastewater Treatment Plant. Water Res. 2018, 144, 774–783. [Google Scholar] [CrossRef] [PubMed]
  66. Cardoza, L.A.; Knapp, C.W.; Larive, C.K.; Belden, J.B.; Lydy, M.; Graham, D.W. Factors Affecting the Fate of Ciprofloxacin in Aquatic Field Systems. Water Air Soil Pollut. 2005, 161, 383–398. [Google Scholar] [CrossRef]
  67. Parpounas, A.; Litskas, V.; Hapeshi, E.; Michael, C.; Fatta-Kassinos, D. Assessing the Presence of Enrofloxacin and Ciprofloxacin in Piggery Wastewater and Their Adsorption Behaviour onto Solid Materials, with a Newly Developed Chromatographic Method. Environ. Sci. Pollut. Res. 2017, 24, 23371–23381. [Google Scholar] [CrossRef] [PubMed]
  68. Speltini, A.; Sturini, M.; Maraschi, F.; Profumo, A.; Albini, A. Analytical Methods for the Determination of Fluoroquinolones in Solid Environmental Matrices. TrAC Trends Anal. Chem. 2011, 30, 1337–1350. [Google Scholar] [CrossRef]
  69. Boy-Roura, M.; Mas-Pla, J.; Petrovic, M.; Gros, M.; Soler, D.; Brusi, D.; Menció, A. Towards the Understanding of Antibiotic Occurrence and Transport in Groundwater: Findings from the Baix Fluvià Alluvial Aquifer (NE Catalonia, Spain). Sci. Total Environ. 2018, 612, 1387–1406. [Google Scholar] [CrossRef] [PubMed]
  70. Watanabe, N.; Bergamaschi, B.A.; Loftin, K.A.; Meyer, M.T.; Harter, T. Use and Environmental Occurrence of Antibiotics in Freestall Dairy Farms with Manured Forage Fields. Environ. Sci. Technol. 2010, 44, 6591–6600. [Google Scholar] [CrossRef] [PubMed]
  71. Scaria, J.; Anupama, K.V.; Nidheesh, P.V. Tetracyclines in the Environment: An Overview on the Occurrence, Fate, Toxicity, Detection, Removal Methods, and Sludge Management. Sci. Total Environ. 2021, 771, 145291. [Google Scholar] [CrossRef]
  72. European Medicines Agency. Sales of Veterinary Antimicrobial Agents in 31 European Countries in 2017: Trends from 2010–2017; Ninth ESVAC Report—EMA/294674/2019; European Medicines Agency: Amsterdam, The Nederlands, 2019; p. 106. [Google Scholar]
  73. Abuin, S.; Codony, R.; Compañó, R.; Granados, M.; Prat, M.D. Analysis of Macrolide Antibiotics in River Water by Solid-Phase Extraction and Liquid Chromatography-Mass Spectrometry. J. Chromatogr. A 2006, 1114, 73–81. [Google Scholar] [CrossRef]
  74. Kümmerer, K. Antibiotics in the Aquatic Environment—A Review—Part I. Chemosphere 2009, 75, 417–434. [Google Scholar] [CrossRef]
  75. Baumann, M.; Weiss, K.; Maletzki, D.; Schüssler, W.; Schudoma, D.; Kopf, W.; Kühnen, U. Aquatic Toxicity of the Macrolide Antibiotic Clarithromycin and Its Metabolites. Chemosphere 2015, 120, 192–198. [Google Scholar] [CrossRef]
  76. European Commission. Commission Implementing Decision (EU) 2015 495—Of 20 March 2015—Establishing a Watch List of Substances for Union-Wide Monitoring in the Field of Water Policy Pursuant to Directive 2008/ 105/ EC of the European Parliament and of the Council—(Notified under Document C(2015) 1756); European Commission: Brussels, Belgium, 2015. [Google Scholar]
  77. Qiao, M.; Ying, G.G.; Singer, A.C.; Zhu, Y.G. Review of Antibiotic Resistance in China and Its Environment. Environ. Int. 2018, 110, 160–172. [Google Scholar] [CrossRef] [Green Version]
  78. Bonvin, F.; Omlin, J.; Rutler, R.; Schweizer, W.B.; Alaimo, P.J.; Strathmann, T.J.; McNeill, K.; Kohn, T. Direct Photolysis of Human Metabolites of the Antibiotic Sulfamethoxazole: Evidence for Abiotic Back-Transformation. Environ. Sci. Technol. 2013, 47, 6746–6755. [Google Scholar] [CrossRef]
  79. García-Galán, M.J.; Frömel, T.; Müller, J.; Peschka, M.; Knepper, T.; Díaz-Cruz, S.; Barceló, D. Biodegradation Studies of N 4-Acetylsulfapyridine and N 4-Acetylsulfamethazine in Environmental Water by Applying Mass Spectrometry Techniques. Anal. Bioanal. Chem. 2012, 402, 2885–2896. [Google Scholar] [CrossRef] [PubMed]
  80. Zhang, Y.; Xu, J.; Zhong, Z.; Guo, C.; Li, L.; He, Y.; Fan, W.; Chen, Y. Degradation of Sulfonamides Antibiotics in Lake Water and Sediment. Environ. Sci. Pollut. Res. 2013, 20, 2372–2380. [Google Scholar] [CrossRef]
  81. Wegst-Uhrich, S.R.; Navarro, D.A.; Zimmerman, L.; Aga, D.S. Assessing Antibiotic Sorption in Soil: A Literature Review and New Case Studies on Sulfonamides and Macrolides. Chem. Cent. J. 2014, 8. [Google Scholar] [CrossRef] [Green Version]
  82. Kuchta, S.L.; Cessna, A.J. Lincomycin and Spectinomycin Concentrations in Liquid Swine Manure and Their Persistence during Simulated Manure Storage. Arch. Environ. Contam. Toxicol. 2009, 57, 1–10. [Google Scholar] [CrossRef]
  83. Kuchta, S.L.; Cessna, A.J.; Elliott, J.A.; Peru, K.M.; Headley, J.V. Transport of Lincomycin to Surface and Ground Water from Manure-Amended Cropland. J. Environ. Qual. 2009, 38, 1719–1727. [Google Scholar] [CrossRef] [PubMed]
  84. Wood, T.P.; Duvenage, C.S.J.; Rohwer, E. The Occurrence of Anti-Retroviral Compounds Used for HIV Treatment in South African Surface Water. Environ. Pollut. 2015, 199, 235–243. [Google Scholar] [CrossRef] [Green Version]
  85. Jain, S.; Kumar, P.; Vyas, R.K.; Pandit, P.; Dalai, A.K. Occurrence and Removal of Antiviral Drugs in Environment: A Review. Water Air Soil Pollut. 2013, 224, 1410. [Google Scholar] [CrossRef]
  86. Ncube, S.; Madikizela, L.M.; Chimuka, L.; Nindi, M.M. Environmental Fate and Ecotoxicological Effects of Antiretrovirals: A Current Global Status and Future Perspectives. Water Res. 2018, 145, 231–247. [Google Scholar] [CrossRef]
  87. Fernández, L.P.; Brasca, R.; Goicoechea, H.; Culzoni, M.J. Fluorescence-Kinetic Four-Way Data Generation and Modeling for Abacavir Determination in Water Samples. Microchem. J. 2020, 159. [Google Scholar] [CrossRef]
  88. Aminot, Y.; Litrico, X.; Chambolle, M.; Arnaud, C.; Pardon, P.; Budzinski, H. Erratum to: Development and Application of a Multi-Residue Method for the Determination of 53 Pharmaceuticals in Water, Sediment, and Suspended Solids Using Liquid Chromatography-Tandem Mass Spectrometry (Analytical and Bioanalytical Chemistry 10.1007/S00216-015-9017-3). Anal. Bioanal. Chem. 2015, 407, 8623. [Google Scholar] [PubMed] [Green Version]
  89. Prasse, C.; Schlüsener, M.P.; Schulz, R.; Ternes, T.A. Antiviral Drugs in Wastewater and Surface Waters: A New Pharmaceutical Class of Environmental Relevance? Environ. Sci. Technol. 2010, 44, 1728–1735. [Google Scholar] [CrossRef]
  90. Elizalde-Velázquez, A.; Gómez-Oliván, L.M.; Galar-Martínez, M.; Islas-Flores, H.; Dublán-García, O.; SanJuan-Reyes, N. Amoxicillin in the Aquatic Environment, Its Fate and Environmental Risk. In Environmental Health Risk—Hazardous Factors Living Species; Larramendy, M.L., Soloneski, S., Eds.; IntechOpen Limited: London, UK, 2016. [Google Scholar] [CrossRef] [Green Version]
  91. Gozlan, I.; Rotstein, A.; Avisar, D. Amoxicillin-Degradation Products Formed under Controlled Environmental Conditions: Identification and Determination in the Aquatic Environment. Chemosphere 2013, 91, 985–992. [Google Scholar] [CrossRef] [PubMed]
  92. Gozlan, I.; Rotstein, A.; Avisar, D. Investigation of an Amoxicillin Oxidative Degradation Product Formed under Controlled Environmental Conditions. Environ. Chem. 2010, 7, 435–442. [Google Scholar] [CrossRef]
  93. European Commission. Commission Implementing Decision (EU) 2018/ 840—Of 5 June 2018—Establishing a Watch List of Substances for Union-Wide Monitoring in the Field of Water Policy Pursuant to Directive 2008/ 105/ EC of the European Parliament and of the Council and Repealing Commission Implementing Decision (EU) 2015/ 495—(Notified under Document C (2018) 3362); European Commission: Brussels, Belgium, 2018. [Google Scholar]
  94. Ortiz de García, S.; Pinto Pinto, G.; García Encina, P.; Irusta Mata, R. Consumption and Occurrence of Pharmaceutical and Personal Care Products in the Aquatic Environment in Spain. Sci. Total Environ. 2013, 444, 451–465. [Google Scholar] [CrossRef] [PubMed]
  95. Wright, G.D. Antibiotic Resistance in the Environment: A Link to the Clinic? Curr. Opin. Microbiol. 2010, 13, 589–594. [Google Scholar] [CrossRef]
  96. Le Page, G.; Gunnarsson, L.; Snape, J.; Tyler, C.R. Integrating Human and Environmental Health in Antibiotic Risk Assessment: A Critical Analysis of Protection Goals, Species Sensitivity and Antimicrobial Resistance. Environ. Int. 2017, 109, 155–169. [Google Scholar] [CrossRef]
  97. WHO. Antimicrobial Resistance Global Report on Surveillance; World Health Organization: Geneva, Switzerland, 2014. [Google Scholar]
  98. Gullberg, E.; Cao, S.; Berg, O.G.; Ilbäck, C.; Sandegren, L.; Hughes, D.; Andersson, D.I. Selection of Resistant Bacteria at Very Low Antibiotic Concentrations. PLoS Pathog. 2011, 7, e1002158. [Google Scholar] [CrossRef] [Green Version]
  99. Sandegren, L. Selection of Antibiotic Resistance at Very Low Antibiotic Concentrations. Upsala J. Med Sci. 2014, 119, 103–107. [Google Scholar] [CrossRef]
  100. Khan, S.; Beattie, T.K.; Knapp, C.W. The Use of Minimum Selectable Concentrations (MSCs) for Determining the Selection of Antimicrobial Resistant Bacteria. Ecotoxicology 2017, 26, 283–292. [Google Scholar] [CrossRef] [Green Version]
  101. Rodriguez-Mozaz, S.; Vaz-Moreira, I.; Varela Della Giustina, S.; Llorca, M.; Barceló, D.; Schubert, S.; Berendonk, T.U.; Michael-Kordatou, I.; Fatta-Kassinos, D.; Martinez, J.L.; et al. Antibiotic Residues in Final Effluents of European Wastewater Treatment Plants and Their Impact on the Aquatic Environment. Environ. Int. 2020, 140. [Google Scholar] [CrossRef]
  102. Cycoń, M.; Mrozik, A.; Piotrowska-Seget, Z. Antibiotics in the Soil Environment—Degradation and Their Impact on Microbial Activity and Diversity. Front. Microbiol. 2019, 10, 338. [Google Scholar] [CrossRef]
  103. Holm, G.; Snape, J.R.; Murray-Smith, R.; Talbot, J.; Taylor, D.; Sörme, P. Implementing Ecopharmacovigilance in Practice: Challenges and Potential Opportunities. Drug Saf. 2013, 36, 533–546. [Google Scholar] [CrossRef] [Green Version]
  104. APA. Final Report—PROJETO POSEUR-03-2013-FC-000001—“Melhoria da Avaliação Ddo Estado das Massas de Água”. Cofinanciado por UNIÃO EUROPEIA, Fundo de Coesão; APA: Lisbon, Potugal, 2019. [Google Scholar]
  105. APA. Classificação Das Massas de Água. Avaliação Intercalar 2014–2017; APA: Lisbon, Potugal, 2019. [Google Scholar]
  106. INFARMED. Estatística do Medicamento e Produtos de Saúde 2017. Lisbon, Potugal. 2018. Available online: https://www.infarmed.pt/documents/15786/1229727/Estat%C3%ADstica+do+Medicamento+2017/c759b946-9dcb-4b0a-b10b-6287bf76c114?version=1.0 (accessed on 3 May 2021).
  107. EMA. European Surveillance of Veterinary Antimicrobial Consumption, 2019. ‘Sales of Veterinary Antimicrobial Agents in 31 European Countries in 2017’; (EMA/294674/2019); EMA: London, UK, 2019. [Google Scholar]
Figure 1. Frequency (%) of antibiotics/ enzyme inhibitors and abacavir detected in surface water.
Figure 1. Frequency (%) of antibiotics/ enzyme inhibitors and abacavir detected in surface water.
Antibiotics 10 00888 g001
Figure 2. Frequency (%) of antibiotics/enzyme inhibitors and abacavir detected in groundwater.
Figure 2. Frequency (%) of antibiotics/enzyme inhibitors and abacavir detected in groundwater.
Antibiotics 10 00888 g002
Figure 3. Amount of detected pharmaceuticals consumption per Portuguese region.
Figure 3. Amount of detected pharmaceuticals consumption per Portuguese region.
Antibiotics 10 00888 g003
Figure 4. (a) Surface-water sampling sites; (b) groundwater sampling sites. Maps provided by the Portuguese Environmental Agency.
Figure 4. (a) Surface-water sampling sites; (b) groundwater sampling sites. Maps provided by the Portuguese Environmental Agency.
Antibiotics 10 00888 g004
Table 1. Consumption (Kg) of the detected pharmaceuticals in Portugal (2017).
Table 1. Consumption (Kg) of the detected pharmaceuticals in Portugal (2017).
PharmaceuticalsRegional Amount (Kg)Σ
NorthCentreWest/TejoAlentejoAlgarve
Antibiotics
Amoxicillin15,494966415,6691715186644,408
EnrofloxacinNANANANANA3600 1
Ciprofloxacin107574413701401543483
Norfloxacin77691552217340
Sulfamethoxazole796589100295472529
SulfamethazineNANANANANA5800 1,2
Erythromycin32275957130
Azithromycin53639365964771729
Clarithromycin630620800140402230
Trimethoprim1591182001941537
TetracyclineNANANANANA45,000 1
LincomycinNANANANANA3000 1
Inhibitors
Clavulanic acid153598915871751884474
Tazobactam2281592792922717
Cilastatin571350.60.376
Antiviral
Abacavir43011684817471458
1 Amount from ESVAC Report-2017; 2 Match the sulfonamides amount; NA—not available.
Table 2. Physicochemical properties of detected pharmaceuticals.
Table 2. Physicochemical properties of detected pharmaceuticals.
Active SubstancesCAS-N° 1MW 1 g/molWater Solubility 1pKa Acid and Basic 1log Kow 1log Koc L/kg
Amoxicillin26787-78-0365.4high7.40.873.3 2
Enrofloxacin93106-60-6359.4high6.70.584.22–5.89 3
Ciprofloxacin85721-33-1331.3high6.10.284.78 3
Norfloxacin70458-96-7319.3high5.8−1.034.4 (Kd) 4
8.7
Sulfamethoxazole723-46-6253.3high6.20.892.3 5
2
Sulfamethazine57-68-1278.3high7.60.891.78–2.32 3
Erythromycin114-07-8733.9low8.92.62.3 6
Azithromycin83905-01-5749high8.533.5 7
Clarithromycin81103-11-9748high93.22.2 8
Trimethoprim738-70-5290.3moderate7.10.912.5 5
Tetracycline60-54-8444.4low3.3−1.34.9 9
Lincomycin859-18-7406.5high7.60.56NA
Tazobactam89786-04-9300.3high2.1−1.80.87 10
Clavulanic acid58001-44-8199.2high2.7−2.3NA
Cilastatin82009-34-5358.5moderate9.50.29NA
2.5
Abacavir136470-78-5286.3high15.41.23.0 6
5.8
1 Data retrieved from [16]; 2 Data retrieved from [17]; 3 Data retrieved from [18]; 4 Data retrieved from [19]; 5 Data retrieved from [20]; 6 Data retrieved from [21]; 7 Data retrieved from [22]; 8 Data retrieved from [23]; 9 Data retrieved from [24]; 10 Data retrieved from [25]; NA—not available.
Table 3. Main pharmacokinetic properties of detected pharmaceuticals.
Table 3. Main pharmacokinetic properties of detected pharmaceuticals.
Active
Substance
Therapeutical Use
Dosage Forms 1,2—Target Species
Bioavailability 1,2ExcretionReferences
Unchanged FormMetabolites (%)
AmoxicillinHuman use
Capsule; tablets;
Powder for oral suspension;
Powder for solution for injection or infusion.
Veterinary use
Premix for medicated feed—pigs;
Powder in drinking water—poultry, pigs;
Injectable suspension—cattle, sheep, pigs;
Palatable tablets—dogs and cats.
70%; 23% 3Renal: 80–90%
Faecal: 5–10%
Amoxicilloic acid;
Piperazine-2,5-dione (diketopiperazine).
(Both 10–20%)
[26,27,28,29]
EnrofloxacinVeterinary use
Oral solution—cats, pigs, broilers, rabbits
Solution for drinking water—chickens, turkeys, rabbits;
Solution for injection—dogs, cats, cattle, pigs;
Tablets—dogs and cats.
73–101% 3Renal: 21% 3
Faecal: 19% 3
Ciprofloxacin (20–50%);
Active dealkylated and hydroxylated enrofloxacin (<10%).
[30,31]
CiprofloxacinHuman use
Tablets.
64–85%Renal: 30–50%
Faecal: 15–62%
Oxociprofloxacin;
Desethylene ciprofloxacin;
Formylciprofloxacin.
[32,33]
NorfloxacinHuman use
Tablets;
Eye drops solution.
30–50%Renal: 30–70%
Faecal: 30%
3-oxo-1-piperazinyl metabolite (<20%).[34]

Sulfamethoxazole
Human use 5
Tablets; Syrup;
Solution for injection.
Veterinary use 4
Solution for drinking water—pigs.
NARenal: 10–40%N4-acetyl- sulfamethoxazole
(30–70%);
Sulfamethoxazole glucuronide.
[35]
Sulfamethazine (sulfadimidine)NANARenal: <12%N4-acetyl-sulfamethazine
(61–81%);
Conjugated hydroxylated
Metabolites (10–20%).
[36]
Erythromycin 5Human use
Tablets;
Granules for oral suspension;
Powder for solution for injection;
Topical skin solutions.
Veterinary use
Injectable solution—cattle, pigs and sheep.
25%Renal: 2–5%N-desmethyl-erythromycin;
Anhydroerythromycin.
[37,38]
AzithromycinHuman use
Powder for oral suspension;
Powder for solution for infusion;
Tablets;
Eye drops solution.
37%Renal: 20%N-desmethyl derivatives.[37,38]
ClarithromycinHuman use
Tablets;
Granules for oral suspension;
Powder for solution for injection.
55%Renal: 30–40%14-(R)-hydroxy-clarithromycin (active metabolite);
N-demethyl-clarithromycin.
[37,38,39]
Trimethoprim Human use 6
Tablets; Syrup;
Solution for injection;
Veterinary use 6
Premix for medicated feed—pigs and sheep;
Solution for drinking water (pigs, broilers, calves, lambs, rabbits);
Solution for injection—cattle, horses, sheep;
Oral paste and oral powder—horses.
90% 3Renal: ±80% 3-Desmethyl-trimethoprim (65%);
4-Desmethyl-trimethoprim (25%);
N-oxides (≤5%).
[40,41]
TetracyclineHuman use
Capsule;
Ophthalmic ointment;
Veterinary use
Premix for medicated feed—fish farm; pigs.
Powder for oral solution—calves, lambs, pigs, rabbits and poultry;
Solution for injection—cattle, pigs, horses, sheep, dogs and cats.
5% 3Renal: 30%
Faecal: 20–60%
D-epitetracycline (5%).[42,43]
LincomycinVeterinary use
Premix for medicated feed—pigs;
Powder for drinking water—pigs, chickens;
Injectable solution—cattle, sheep, goats, swine, chickens, turkeys, cats;
Intramammary solution for lactating cows.
20–50% 3Renal: 14–21% 3
Faecal: 79–86% 3
Lincomycin sulphoxide.[44,45]
TazobactamHuman use 7
Powder for solution for injection or infusion.
NARenal: 60–80%M1-hydrolyzed metabolite (20–26%).[46,47,48]
Clavulanic Acid 4Human use 8
Tablets;
Powder for oral suspension;
Powder for solution for injection or infusion.
Veterinary use
Powder for drinking water—pigs;
Powder for oral suspension—dogs and cats;
Injectable—Cattle, Canines, Felines, Pigs;
Palatable tablets—dogs and cats;
Intramammary suspension for lactating cattle.
45% 3Renal: 40–73%2,5-dihydro-4-(2- hydroxyethyl)-5-oxo-1H-pyrrole-3-carboxylic acid (15.6%).
1-amino-4-hydroxy-butan-2-one (<10%).
[26,49,50,51,52]
CilastatinHuman use 9
Powder for solution for infusion.
NARenal: 78%N-acetyl metabolite (10%).[53,54]
Abacavir 5Human use
Film-coated tablet 10; oral solution.
83%Renal: 1%
Feacal: 16%
5′-carboxylic-acid metabolite (30%);
5′-glucuronide metabolite (36%);
Minor metabolites (15%).
-
1 Data retrieved from Infomed—National database for human use [55]; 2 Data retrieved from MedVet—Nacional database for veterinary use [56]; 3 Depicted data is from pigs; 4 Associated to trimethoprim; 5 Some data retrieved from Drugbank database [16]; 6 Associated to sulfamethoxazole and other sulonamides; 7 Associated to piperacillin/ceftolozane; 8 Associated to amoxicillin; 9 Associated to imipenem; 10 Associated to lamivudine; NA = Not available.
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Viana, P.; Meisel, L.; Lopes, A.; de Jesus, R.; Sarmento, G.; Duarte, S.; Sepodes, B.; Fernandes, A.; dos Santos, M.M.C.; Almeida, A.; et al. Identification of Antibiotics in Surface-Groundwater. A Tool towards the Ecopharmacovigilance Approach: A Portuguese Case-Study. Antibiotics 2021, 10, 888. https://doi.org/10.3390/antibiotics10080888

AMA Style

Viana P, Meisel L, Lopes A, de Jesus R, Sarmento G, Duarte S, Sepodes B, Fernandes A, dos Santos MMC, Almeida A, et al. Identification of Antibiotics in Surface-Groundwater. A Tool towards the Ecopharmacovigilance Approach: A Portuguese Case-Study. Antibiotics. 2021; 10(8):888. https://doi.org/10.3390/antibiotics10080888

Chicago/Turabian Style

Viana, Paula, Leonor Meisel, Ana Lopes, Rosário de Jesus, Georgina Sarmento, Sofia Duarte, Bruno Sepodes, Ana Fernandes, Margarida M. Correia dos Santos, Anabela Almeida, and et al. 2021. "Identification of Antibiotics in Surface-Groundwater. A Tool towards the Ecopharmacovigilance Approach: A Portuguese Case-Study" Antibiotics 10, no. 8: 888. https://doi.org/10.3390/antibiotics10080888

APA Style

Viana, P., Meisel, L., Lopes, A., de Jesus, R., Sarmento, G., Duarte, S., Sepodes, B., Fernandes, A., dos Santos, M. M. C., Almeida, A., & Oliveira, M. C. (2021). Identification of Antibiotics in Surface-Groundwater. A Tool towards the Ecopharmacovigilance Approach: A Portuguese Case-Study. Antibiotics, 10(8), 888. https://doi.org/10.3390/antibiotics10080888

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