Next Article in Journal
A Hybrid Method for Performance Degradation Probability Prediction of Proton Exchange Membrane Fuel Cell
Next Article in Special Issue
Prediction of Flux and Rejection Coefficients in the Removal of Emerging Pollutants Using a Nanofiltration Membrane
Previous Article in Journal
Microbubble-Assisted Cleaning-in-Place Process for Ultrafiltration System and Its Environmental Performance
Previous Article in Special Issue
Green Fabrication of Sustainable Porous Chitosan/Kaolin Composite Membranes Using Polyethylene Glycol as a Porogen: Membrane Morphology and Properties
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Occurrence and Treatment of Antibiotic-Resistant Bacteria Present in Surface Water

by
João Sério
1,2,†,
Ana Paula Marques
1,†,
Rosa Huertas
1,3,
João Goulão Crespo
3 and
Vanessa Jorge Pereira
1,2,*
1
iBET—Instituto de Biologia Experimental e Tecnológica, Apartado 12, 2780-901 Oeiras, Portugal
2
Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, 2780-157 Oeiras, Portugal
3
LAQV-REQUIMTE, Department of Chemistry, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Membranes 2023, 13(4), 425; https://doi.org/10.3390/membranes13040425
Submission received: 20 February 2023 / Revised: 23 March 2023 / Accepted: 27 March 2023 / Published: 11 April 2023
(This article belongs to the Collection New Challenges in Membranes for Water and Wastewater Application)

Abstract

:
According to the World Health Organization, antibiotic resistance is one of the main threats to global health. The excessive use of several antibiotics has led to the widespread distribution of antibiotic-resistant bacteria and antibiotic resistance genes in various environment matrices, including surface water. In this study, total coliforms, Escherichia coli and enterococci, as well as total coliforms and Escherichia coli resistant to ciprofloxacin, levofloxacin, ampicillin, streptomycin, and imipenem, were monitored in several surface water sampling events. A hybrid reactor was used to test the efficiency of membrane filtration, direct photolysis (using UV-C light emitting diodes that emit light at 265 nm and UV-C low pressure mercury lamps that emit light at 254 nm), and the combination of both processes to ensure the retention and inactivation of total coliforms and Escherichia coli as well as antibiotic-resistant bacteria (total coliforms and Escherichia coli) present in river water at occurrence levels. The membranes used (unmodified silicon carbide membranes and the same membrane modified with a photocatalytic layer) effectively retained the target bacteria. Direct photolysis using low-pressure mercury lamps and light-emitting diode panels (emitting at 265 nm) achieved extremely high levels of inactivation of the target bacteria. The combined treatment (unmodified and modified photocatalytic surfaces in combination with UV-C and UV-A light sources) successfully retained the bacteria and treated the feed after 1 h of treatment. The hybrid treatment proposed is a promising approach to use as point-of-use treatment by isolated populations or when conventional systems and electricity fail due to natural disasters or war. Furthermore, the effective treatment obtained when the combined system was used with UV-A light sources indicates that the process may be a promising approach to guarantee water disinfection using natural sunlight.

1. Introduction

Good water quality is essential to human health. However, environmental degradation hinders the sufficient and safe distribution of water worldwide. The disposal of residues resulting from human practices, hospital facilities, agricultural activities, and industries without appropriate treatment have significantly compromised aquatic ecosystems.
Antimicrobial resistance is a hidden but expanding threat that may also be disseminated by the continuous pollution of many environment matrices, such as water, sludge, and soil [1,2,3]. Over the last decades, treatable infections have become lethal, resulting in higher mortality rates, lengthy hospital stays, and increased healthcare costs [4]. The World Health Organization (WHO) has declared that antimicrobial resistance is one of the top 10 global public threats facing humanity [5]. It is estimated that antimicrobial resistance-related diseases currently lead to 700,000 deaths per year and that they could lead to 10 million deaths by 2050 [6,7]. The spread of COVID-19 around the globe led to an increased consumption of antibiotics to prevent bacterial superinfections [8]. A recent study highlighted the devastating consequences for antimicrobial resistance management associated with inappropriate antibiotic use by COVID-19 patients [9]. Antibiotic-resistant bacteria and antibiotic-resistant genes have proliferated extensively due to the misuse and overuse of antibiotics and the increasing concentration of pharmaceuticals in the environment, constituting an aggravated risk of epidemics [3,10]. Even carbapenems, a group of powerful last-resort antibiotics administered in cases of severe infection, are gradually losing their effectiveness [4,11]. In addition, multidrug-resistant organisms are spreading around the globe in the context of healthcare and foreign travel. They can also reportedly be transmitted to humans from wild animals, livestock, and pets [12]. When the degradation of these emerging compounds is inadequate and poorly treated effluent is discharged, they end up entering rivers, reservoirs, estuaries, groundwater, and drinking water supplies [13,14,15,16]. Currently, more than 200 different types of pharmaceutical compounds have been detected in various rivers worldwide, coming directly from wastewater treatment plants effluent [16].
Membrane filtration is a proven alternative to achieve high water quality by selectively removing pollutants and microorganisms of various sizes [17]. Filtration methods, such as microfiltration and ultrafiltration, may be efficiently used to remove pathogens, especially bacteria, fungi, and protozoa [18]. Silicon carbide membranes have been developed due to their high chemical, thermal, and mechanical resistance [19]. In addition, silicon carbide membranes exhibit high permeability, controlled porosity, and a smooth top layer, and are efficient in removing indicator bacteria and suspended solids, as well as oil and grease, from wastewater matrices [20,21,22,23]. Modifying membranes by depositing photocatalytic nanoparticles can change their properties and ultimately increase their photocatalytic potential (conferring a self-cleaning property). This makes it possible to treat various contaminated water sources and reduce fouling, the major drawback of membrane processes [17,24]. Sosa et al. [25] demonstrated that a combined treatment using silicon carbide membranes modified with zinc oxide was, when exposed to UV-A LEDs that emit at 365 nm, very efficient at inactivating total coliforms and Escherichia coli present in surface water at occurrence levels. In this study, new photocatalytic silicon carbide membranes were developed using a previously described solvent-free sol-gel method [23] in which the titanium dioxide photocatalytic coatings are deposited at low temperatures using only aqueous solutions. These membranes are expected to retain microorganisms and contribute to their inactivation by photocatalysis. Due to its large bandgap, the application of titanium dioxide is limited to the UV range (<390 nm), where only a very small fraction of the total solar radiation is used [16]. Since the modified membranes are intended to be activated by sunlight, the titanium dioxide nanoparticles were doped with copper to reduce their bandgap energy by creating defects in their structure, which increases the optical absorption in the visible range. In addition, copper acts as an active trap of electrons, reducing the rate of electron-hole recombination [24,26]. Mahmud et al. [27] reported that this doping allowed titanium dioxide to degrade methylene blue under simulated sunlight conditions. Furthermore, Pongwan et al. [28] reported a shift in the band gap energy of titanium dioxide to 2.83 eV after doping with copper, which enabled the mineralization of oxalic acid and formic acid under visible light irradiation. Moreover, Dunlop et al. [29] reported the inactivation of clinically relevant pathogens by photocatalytic coatings.
Ultraviolet radiation (UV) using low- or medium-pressure mercury lamps is effective at inactivating a wide range of waterborne pathogens and is commonly used in many water and wastewater treatment plants [30]. UV light-emitting diodes (LEDs) have emerged as a promising alternative treatment [31,32,33,34,35,36]. LEDs do not produce mercury waste; are more compact, durable, and energy efficient; do not require a stabilization time; and can emit light at different wavelengths [31,32,33,34,35,36].
Hybrid treatment systems combining various technologies such as membrane filtration, ultraviolet irradiation, and photocatalysis have reportedly shown promising results in microbial retention, disinfection, and degradation of contaminants [21,22,25,37,38,39]. Previous laboratory-scale studies combining light-emitting diodes (LEDs) and photocatalytic silicon carbide membranes have achieved promising results in terms of inactivation (>2.5-log inactivation using LEDs emitting at 255 and 265 nm) and retention (>96%) of quality indicator bacteria present in real wastewater and surface water matrixes, as well as further production of a reusable high-quality permeate [21,22]. The combined treatment was tested in this study for the retention and inactivation of antibiotic-resistant bacteria present at occurrence levels in surface water using a submerged photocatalytic membrane reactor previously assembled [40] that treats a large volume of water (10 L), using modified and unmodified silicon carbide membranes, custom-made LED panels that emit light at 265 and 385 nm, and low-pressure mercury lamps (LP-UV) that emit light at 254 nm.
This work focused on testing the occurrence of water quality indicator bacteria (total coliforms, E. coli and enterococci) as well as total coliforms and E. coli resistant to various antibiotics (ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin) in surface water. The treatment efficiency of total coliforms and E. coli, as well as antibiotic-resistant total coliforms and E. coli, present at occurrence levels in river water was then tested using membrane filtration (with unmodified membranes and membranes modified with titanium dioxide and copper), direct UV photolysis, and the combination of both processes in a hybrid reactor.

2. Materials and Methods

2.1. Surface Water Matrix

Surface water samples were collected from the Tagus River (Algés, Portugal) in sterile glass containers between January 2020 and August 2021. Field and travel blanks were also analyzed and were free from contamination by the target microorganisms.
The water samples were characterized in terms of pH (Crison MicropH 2002) as well as total solids (TS), total suspended solids (TSS), and total dissolved solids (TDS) (Standard Method 2540) [41] to assess their overall quality.
A microbiological characterization of the samples in terms of total coliforms, E. coli, and enterococci—bacteria frequently used as microbiological indicators of water quality [42,43]—was performed. The analysis of antibiotic-resistant bacteria was also performed as detailed below.

2.1.1. Total coliforms and Escherichia coli

The water samples were analyzed in terms of the occurrence of total coliforms and E. coli using the Colilert-18 kit (IDEXX, Maine, ME, USA) described by Warden et al. [44,45,46]. Briefly, 100 mL of each water sample (undiluted or diluted) was added to a sterile flask, and the substrate was added and shaken until a homogenized solution was obtained. The liquid was then transferred to a Quanti-Tray 2000 and incubated at 35 ± 0.5 °C for 18 h. When coliforms metabolize O-nitrophenyl-beta-D-galactopyranoside (ONPG), the sample turns yellow. When E. coli metabolizes 4-methyl-umbelliferyl-β-D-glucuronide (MUG), the sample also fluoresces. The yellow wells were counted to determine the MPN/100 mL of total coliforms, and the yellow/fluorescent wells were counted using a BLAK-RAY® lamp (model UVL-21) that emits at 360 nm to determine the MPN/100 mL of E. coli.
The characterization of antibiotic-resistant bacteria was performed following a modified protocol of the Colilert-18 kit previously described by Galvin et al. [47]. The procedure follows the same main steps; however, before mixing the substrate with the samples, a specific concentration of the chosen antibiotic was added to the sample. By the end of the incubation, only resistant bacteria would result in color and fluorescent change of the Quanti-tray wells. The target antibiotics (ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin) belong to four different classes and were selected based on data resulting from the surveillance of antimicrobial resistance in Europe 2018 [48,49,50]. Following addition of the antibiotic (described in Appendix A), the sample was processed in Colilert-18 Quanti-Trays according to the manufacturer’s instructions. After incubation at 35 ± 0.5 °C for 18 h, the positive wells were counted following the manufacturer’s instructions.

2.1.2. Enterococci

The surface water samples were also analyzed in terms of the occurrence of intestinal enterococci such as Enterococcus faecium and E. faecalis using an Enterolert-E Kit (IDEXX, Maine, ME, USA), as described in the literature [44,51,52]. The procedure is similar to the before mentioned Colilert-18 kit. After the specific substrate was mixed with the samples, the samples were incubated for 24 h at 41 ± 0.5 °C. The positive wells were determined using a BLAK-RAY® lamp (model UVL-21) that emits at 360 nm to read the fluorescence emission, which indicates the metabolization of the substrate 4-methyl-umbelliferyl-β-D-glucoside by β-glucosidase.

2.2. Surface Water Treatment Experiments

A submerged hybrid reactor described in detail in previous publications [22,40] was used to test the effectiveness of membrane filtration, photolysis, and the combination of both processes to treat total coliforms, E. coli, as well as antibiotic-resistant bacteria (total coliforms and E. coli) present at occurrence levels in surface water. The membrane is placed in the center of the submerged photocatalytic membrane reactor. The submerged flat sheet membranes (17 cm × 10 cm × 0.6 cm; LiqTech International, Ballerup, Denmark) filter from the outside to the inside. Two diaphragm pumps (12 V 3.0 A, 5.5bar; SZY-4155, Shui Zhi Yuan) were used to ensure a filtration pressure of 0.2 bar. The mixing of the system was ensured by aeration. The photocatalytic layer of the membrane is activated using LED panels that emit light at 385 nm placed at 1.6 cm from each side of the membrane. The modified membranes can therefore be easily irradiated, which decreases fouling and increases the feed treatment due to direct and indirect photolysis.
The experiments conducted (depicted in the Appendix A; Figure A1) included:
(1)
Membrane filtration tests without the light sources using silicon carbide ceramic unmodified (UM) and modified membranes (MM) with titanium dioxide and copper previously described by Marques et al. [22]. The deposition of photocatalytic layers did not significantly affect the estimated porous properties of the modified membranes (for the unmodified and modified membrane the mean pore areas were 0.025 and 0.033 µm2, the average Feret diameters were 0.14 and 0.17 μm, and the average pore density values were 2.62 and 1.98 µm−2, respectively); The membranes used were highly hydrophilic, since a stable water contact angle was impossible to measure.
(2)
Direct photolysis inactivation tests, without membrane filtration, using the different light sources. Two commercial low-pressure mercury lamps were tested (Puro TAP, UVC, 11 W, type GPH212T5L, Christchurch, New Zealand), cylindrical in shape, with a diameter of 15 mm and a length of 212 mm. Two custom-built LED panels were also tested: two panels (to place on each side of the membrane) with 8 LEDs each that emit light at 265 nm with an average irradiance of 15.33 µW/cm2.The panels emitting at 265 nm were custom-built for inactivation by direct photolysis.
(3)
Combined treatment tests with membrane filtration (using the unmodified and modified membranes) and the different light sources (low-pressure mercury lamps, LEDs that emit light at 265 nm and LED panels that emit light at 385 nm) to evaluate direct and indirect photolysis. The two panels with 25 LEDs each that emit light at 385 nm with an average irradiance of 313.18 µW/cm2 were built to test the activation of photocatalytic coatings (indirect photolysis).
Before each treatment experiment, the reactor was cleaned with 70% ethanol and sterile distilled water. Initial reactor contamination was determined after 10 L of sterile distilled water had been circulated in the system for 30 min. Then, 200 mL of water was collected and analyzed for total coliforms and E. coli using the methods described in Section 2.1.1. All the sampling lines were free from contamination with the target microorganisms. While a homogenous starting point using spiked laboratory-grade water would have facilitated comparison across experiments, it is very important to work with real water samples that contain microorganisms at occurrence levels to evaluate the efficiency of the treatment processes under real conditions and consider the matrix effect (presence of organic matter and solids that could affect the efficiency of the UV light and filtration treatment processes). Furthermore, real water data is crucial for the development of practical water treatment technology, for both drinking water and wastewater [53]. At the beginning of the experiments, the reactor was filled with 10 liters of untreated surface water (collected the day before the experiment and stored at 4 °C for less than 18 h). It is important to test the collected water samples as soon as possible, as previous studies have shown that microorganisms lose viability over time. Different assays conducted on different days were therefore performed with different real water samples, because rather than comparing the effectiveness of the different processes, the objective of this work was to test whether the treatment solutions evaluated could be used to deal with the problem of antibiotic resistance. For a direct comparison of the different processes’ effectiveness, future studies could be conducted using a small volume of filtered real water samples spiked at the levels with the microorganisms of interest. In all tests, both the permeate and the retentate were fully recirculated. During the tests, samples of the feed and permeate were collected after 1, 10, 30, and 60 min. With the filtration system used it was not possible to differentiate between the microorganisms retained by size exclusion and adsorption. Inactivation experiments were performed to study the effects of direct photolysis on the composition of the feed using UV LED panels emitting at 265 nm (expected to be efficient to achieve inactivation due to the peak absorption of DNA) and low-pressure mercury lamps emitting at 254 nm that are widely used for disinfection.
Additional experiments were also performed combining filtration and photolysis to understand whether the total coliforms, E. coli and antibiotic-resistant bacteria (total coliforms and E. coli) retained by the membranes were inactivated by the UV light. After treatment, the membranes were gently cleaned to loosen the retentate, washed with 400 mL of sterile distilled water, and characterized with respect to total coliforms, E. coli, and antibiotic-resistant bacteria.
For each experiment, a dark control sample (untreated surface water sample protected from the light during the experimental time) was also analyzed for the presence of total coliform bacteria, E. coli, and enterococci. The obtained results show that the bacterial concentration in the dark control samples was identical to that of the untreated surface water before treatment (initial feed).

3. Results and Discussion

3.1. Characterization of the Water Matrix

Before each experiment, the collected untreated surface water was characterized in terms of pH, total solids, total suspended solids, and total dissolved solids (Table 1).
The results obtained show that the water samples collected in different months did not change considerably in terms of the neutral pH and the solids content (97% of the total solids present in the samples were dissolved).

Occurrence of Water Quality Indicators and Antibiotic-Resistant Bacteria

In this study, 27 river water samples were collected in Algés, Portugal, between January 2020 and August 2021 to evaluate the occurrence levels of water quality indicator bacteria (total coliforms, E. coli, and enterococci). The variations in MPN/100 mL of total coliform bacteria, E. coli, and enterococci in the collected surface water samples are shown in Figure 1.
Figure 1 shows that the most probable number per 100 mL varied between 1.5 × 102 and 1.3 × 104 for total coliforms; between 2.0 × 101 and 6.6 × 103 for E. coli; and between 4.1 × 101 and 2.3 × 103 for enterococci. Enterococci were not analyzed in water samples collected in July and August 2021. Variations in the concentration of bacteria in the collected water samples were expected due to different pollution sources and the fact that precipitation events have been associated with increased introduction of pathogens to rivers [54]. Intestinal enterococci and E. coli are routinely analyzed to monitor the quality of bathing waters (e.g., EU Directive 2006/7/EC).
The surface water samples collected between December 2020 and August 2021 were also characterized in terms of the levels of total coliforms and E. coli resistant to the antibiotic’s ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin. The percentage of total coliforms and E. coli resistant to the antibiotics tested is shown in Figure 2A,B, respectively, while the occurrence levels (MPN/100 mL) are presented in Figure A2 (Appendix).
The percentage values of antibiotic-resistant bacteria fluctuated in the different sampling events due to the complexity of the matrix and the many variables that interact and lead to these changes. As mentioned in the literature, it can be hypothesized that resistance derives from the type of discharges that occurred into the river prior to sampling, inefficient treatment of effluents disposed of by treatment plants, or leaching (from landfill and sewer lines, among others) [12]. In sampling events of treated wastewater conducted by Galvin et al. [47] over fifteen days in August a similar mean percentage of antibiotic-resistant E. coli was reported for ampicillin, streptomycin, and ciprofloxacin.
Many of the resistant bacteria accounted for may be resistant to more than one antibiotic since the method followed to detect the resistant bacteria in a sample involved the addition of each antibiotic individually to the substrate (as detailed in Section 2.1.1).
For imipenem, a newer third-generation antibiotic used only in hospitalized patients with difficult-to-treat infections [54], low levels of resistant bacteria were detected. Since imipenem is a recent antibiotic, it was expected that resistance to its effect would not yet be widespread or developed. No imipenem-resistant E. coli were detected (Figure 2B). The amounts of imipenem-resistant bacteria detected in the various water river samples collected in this study were in accordance with the results described in other studies on the prevalence of carbapenem-resistant bacteria present in different types of water matrices (fountains, ponds, lakes, and rivers) [10,54,55,56,57,58].
No European legislation or guidelines exist for regulating the quality of surface water with regard to the presence of antibiotic-resistant bacteria. However, the presence of antibiotic-resistant E. coli has been proposed as an indicator of the presence of antibiotic-resistant bacteria and associated clinically relevant genes [57,59].

3.2. Water Treatment of Antibiotic-Resistant Bacteria

3.2.1. Membrane Filtration Treatment

The initial flux, measured at 0.2 bar for the modified membranes with titanium dioxide and copper, was 880 ± 6 Lh−1m−2, and for the unmodified silicon carbide membranes it was 1581 ± 10 Lh−1m−2. Even though the membrane modification did not change the porous features of the modified membranes (as described above in Section 2.2), lower water production can be expected if the modified membranes are used.
The unmodified and modified silicon carbide membranes were also tested in terms of their ability to retain total coliforms and E. coli, as well as total coliforms and E. coli resistant to various antibiotics (ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin) present at occurrence levels in surface water (Figure 3).
Since unspiked real water samples were used in these experiments, the target resistant bacteria were often not detected in the untreated water samples. The text “nd” was therefore added to the figures to highlight that the target microorganisms were not detected in the untreated surface water samples and thus the treatment performance could not be evaluated (Figure 3, Figure 4, Figure 5 and Figure 6). In addition, percentage values represented in the treatment figures with a “higher than” symbol (>) indicate that the target microorganisms were not detected in the treated water samples. The treatment percentage values shown in the figures in these cases were thus calculated based on the method detection limit and the different concentrations of the target microorganisms measured in the untreated samples.
Even though the untreated water sample collected for the filtration experiment with the modified membrane did not present antibiotic-resistant E. coli, the results shown in Figure 3 indicate that both membranes obtained promising values of rejection, breaching the detection limits of the methods used.
Figure 3. Percent rejection of total coliforms (total bars include resistant and non-resistant bacteria) and total coliforms resistant to various antibiotics (A) as well as Escherichia coli and antibiotic-resistant Escherichia coli (B) using unmodified (UM) and modified (MM) silicon carbide membranes after 60 min of filtration. The antibiotics tested were ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin. Columns marked “nd” indicate that the target microorganisms were not detected in the untreated surface water samples. Values marked “>” indicate that the target microorganisms were not detected in the treated water samples.
Figure 3. Percent rejection of total coliforms (total bars include resistant and non-resistant bacteria) and total coliforms resistant to various antibiotics (A) as well as Escherichia coli and antibiotic-resistant Escherichia coli (B) using unmodified (UM) and modified (MM) silicon carbide membranes after 60 min of filtration. The antibiotics tested were ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin. Columns marked “nd” indicate that the target microorganisms were not detected in the untreated surface water samples. Values marked “>” indicate that the target microorganisms were not detected in the treated water samples.
Membranes 13 00425 g003
Even though different real water samples were used in the assays conducted with the modified and unmodified membranes, the levels of total coliforms, E. coli, and solids present in the water samples were very similar (Table A1 in Appendix A). No major differences were observed in the unmodified and modified membranes, as can be seen in Figure 3. This result was expected, since the porous features of the unmodified and modified membranes are very similar. However, the modification may prove to be important in ensuring photocatalytic activity for the feed treatment using different light sources (e.g., UV-A and solar light). Moreover, as expected, no differences in rejection were observed between the total levels of bacteria and those resistant to various antibiotics. E. coli are straight cylindrical rods approximately 1.1–1.5 µm (width) × 2.0–6.0 µm (length) [60] and they are effectively retained by both the unmodified and modified membranes.
Figure A3 presents the percent rejection results for total coliforms and E. coli obtained at different time points. In the early stages of the experiments the low contamination of the permeate can be explained by the membranes’ maximum Feret diameters of 5.5 µm, as measured at various zones of the membranes. The higher percentage of rejections obtained after 10 min of filtration may be due to fouling at the membranes’ surface (Figure A3).

3.2.2. Direct Photolysis Treatment

Figure 4 shows the percent inactivation of total coliforms and E. coli, as well as total coliforms and E. coli resistant to various antibiotics (ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin) obtained after one hour of direct photolysis exposure to the LED panels that emit at 265 nm and the low-pressure mercury lamps (LP-UV).
Figure 4. Percentage inactivation of total coliforms and total coliforms resistant to various antibiotics (A) as well as Escherichia coli and antibiotic-resistant Escherichia coli (B) by the different light sources after 60 min of treatment. The antibiotics tested were ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin. Columns marked “nd” indicate that the target microorganisms were not detected in the untreated surface water samples. Columns marked “>” indicate that the target microorganisms were not detected in the treated water samples after 1 h of exposure.
Figure 4. Percentage inactivation of total coliforms and total coliforms resistant to various antibiotics (A) as well as Escherichia coli and antibiotic-resistant Escherichia coli (B) by the different light sources after 60 min of treatment. The antibiotics tested were ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin. Columns marked “nd” indicate that the target microorganisms were not detected in the untreated surface water samples. Columns marked “>” indicate that the target microorganisms were not detected in the treated water samples after 1 h of exposure.
Membranes 13 00425 g004
The inactivation performance obtained using the LP-UV lamps and the LED panels that emit light at 265 nm was extremely efficient (Figure 4 and Figure A4). These results were expected due to the peak absorption of DNA being around 260 nm [61]. Several studies have focused on the inactivation of microorganisms using LP-UV lamp and LED systems [62,63,64,65,66,67]. Li et al. [65] demonstrated that LEDs emitting at 265 nm were more efficient at E. coli inactivation than LP UV lamps. In this study different real water samples were used in the various assays, so a direct comparison between the different light sources cannot be made. However, the results obtained show that both light sources were extremely effective at coping with total coliforms resistant to several antibiotics, since the target microorganisms were not detected in the treated water samples. Several authors have reported that antibiotic-resistant bacteria are less sensitive to UV irradiation [68,69,70,71]. It is therefore important to test the treatment of resistant bacteria by different light sources, the combined treatment by membrane filtration and UV-C light, and photocatalysis. Zhang et al. [69] reported that multiple-antibiotic-resistant E. coli were more resistant at low UV doses and required a higher UV dose to enter the tailing phase compared with antibiotic-sensitive E. coli.

3.2.3. Combined Treatment

One major drawback of filtration processes is the production of a concentrate retentate [17]. Coupling UV photolysis with membrane filtration using an unmodified or a modified membrane allows the retention and effective inactivation of microorganisms [17,21,22].
The results shown in Figure 5 depict the feed treatment percentage of total coliforms and E. coli, and total coliforms and E. coli resistant to various antibiotics (ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin). As expected, in line with previous results for individual treatment obtained for the antibiotic-resistant bacteria (Figure 3 and Figure 4) and previous results reported for water quality indicator bacteria [21,22], the combined treatment provided extremely effective retention and treatment of the total coliforms and E. coli, as well as the antibiotic-resistant bacteria, from the feed stream (Figure 5).
Figure 5. Feed treatment of total coliforms and total coliforms resistant to various antibiotics (A) as well as Escherichia coli and antibiotic-resistant Escherichia coli (B) using the hybrid reactor combined treatment. The antibiotics tested were ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin. Columns marked “nd” indicate that the target bacteria were not detected in the untreated surface water samples.
Figure 5. Feed treatment of total coliforms and total coliforms resistant to various antibiotics (A) as well as Escherichia coli and antibiotic-resistant Escherichia coli (B) using the hybrid reactor combined treatment. The antibiotics tested were ciprofloxacin, levofloxacin, imipenem, ampicillin, and streptomycin. Columns marked “nd” indicate that the target bacteria were not detected in the untreated surface water samples.
Membranes 13 00425 g005
To clarify whether the light sources inactivated the bacteria retained on the surface of the membranes, additional experiments were carried out. Hybrid reactor tests were performed with 10 L of untreated surface water recirculated for one hour, during which period the microorganisms were retained by the membranes. After the recirculation time, the membranes used were carefully wiped and cleaned using 400 mL of sterile distilled water to remove and quantify the retained bacteria. The inactivation of antibiotic-resistant bacteria adsorbed by the membranes is shown in Figure 6.
Figure 6. Percentage inactivation using various light sources of total coliforms and antibiotic-resistant total coliforms (A) as well as Escherichia coli and antibiotic-resistant Escherichia coli (B) adsorbed by the membranes after washing the unmodified (UM) and modified membranes (MM). The antibiotics tested were ciprofloxacin, imipenem, ampicillin, and streptomycin. Columns marked “nd” indicate that the target microorganisms were not detected in the untreated surface water samples. Columns marked “>” indicate that the target microorganisms were not detected in the treated water samples.
Figure 6. Percentage inactivation using various light sources of total coliforms and antibiotic-resistant total coliforms (A) as well as Escherichia coli and antibiotic-resistant Escherichia coli (B) adsorbed by the membranes after washing the unmodified (UM) and modified membranes (MM). The antibiotics tested were ciprofloxacin, imipenem, ampicillin, and streptomycin. Columns marked “nd” indicate that the target microorganisms were not detected in the untreated surface water samples. Columns marked “>” indicate that the target microorganisms were not detected in the treated water samples.
Membranes 13 00425 g006
In agreement with the results obtained in the direct photolysis experiments, the LP-UV and the UV-C LED panels emitting at 265 nm achieved extremely high inactivation levels. The inactivation of total coliforms was 96.2% and 99.5%, respectively and for E. coli were 96.0% and >99.9%, respectively. Furthermore, the combined treatment with UV-A LEDs that emit light at 385 nm and the modified membrane with titanium dioxide and copper achieved inactivation levels higher than 76.9% for total coliforms and 40.8% for E. coli. For the antibiotic-resistant total coliforms and E. coli, a similar trend of inactivation was observed.

4. Conclusions

This study highlights the frequent detection of total coliforms and E. coli resistant to ampicillin, streptomycin, ciprofloxacin, and levofloxacin in river water samples. Several real water samples were collected to test the effectiveness of different treatment processes: membrane filtration, direct photolysis, and a combined treatment. Without any pre-treatment, all the tested treatment options can be expected to effectively remove antibiotic-resistant bacteria present at occurrence levels in surface water.
The membranes modified with titanium dioxide and copper presented no significant improvement compared with the unmodified membranes for retention of the target bacteria. Hence, if the system had to be replicated on a larger scale, with this purpose in mind (retention of bacteria), it would be beneficial to use the unmodified membranes due to their lower cost and higher water throughput. The combined treatment using unmodified membranes and UV-C light sources (low pressure mercury lamps and LED panels that emit at 265 nm) proved extremely effective at retaining and inactivating antibiotic-resistant water quality indicators.
The modified membranes may prove to have advantages if the combined treatment is applied using UV-A LEDs or solar light.
Various treatment solutions can be proposed such as: (a) using low-pressure mercury lamps and LEDs that emit at 265 nm as a tertiary treatment to achieve inactivation in water treatment plants; (b) using compact systems with several membranes intercalated by UV-C light sources in sequence for water treatment in large-scale plants; and (c) smaller point-of-use systems with the modified membranes activated by solar light.

Author Contributions

Conceptualization, V.J.P.; methodology, V.J.P., A.P.M. and R.H.; formal analysis, J.S., A.P.M. and R.H.; resources, V.J.P. and J.G.C.; writing—original draft preparation, J.S., A.P.M. and V.J.P.; writing—review and editing, J.S., A.P.M., R.H., J.G.C. and V.J.P.; supervision, V.J.P.; funding acquisition, V.J.P. and J.G.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Fundação para a Ciência e a Tecnologia through the grants PTDC/EAM-AMB/30989/2017 and CEECIND/02912/2018, the Associate Laboratory for Green Chemistry—LAQV (UIDB/50006/2020 and UIDP/50006/2020). iNOVA4Health (UIDB/04462/2020, UIDP/04462/2020) and LS4FUTURE Associated Laboratory (LA/P/0087/2020), a program financially supported by Fundação para a Ciência e Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior through national funds, is also acknowledged.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Figure A1. Graphical abstract (A) and diagram of the experiments conducted in the submerged hybrid reactor (B).
Figure A1. Graphical abstract (A) and diagram of the experiments conducted in the submerged hybrid reactor (B).
Membranes 13 00425 g0a1
Supporting Information Regarding the Quantification of Antibiotic-Resistant Bacteria.
The concentration of antibiotics used was based on the minimal inhibitory concentration (MIC) breakpoints levels for Enterobacteriaceae, documented by Clinical and Laboratory Standards Institute (CLSI) (M100—Performance Standards for Antimicrobial Susceptibility Testing, 28th edition, January 2018) and in the literature [42,43]. Stock solutions of ciprofloxacin (Acros Organics, Geel – Belgium), levofloxacin (Sigma Aldrich, St. Louis, MO, USA), imipenem (Sigma Aldrich, St. Louis, MO, USA), ampicillin (nzytech, Lisbon, Portugal), and streptomycin (Sigma Aldrich, St. Louis, MO, USA) were prepared. A volume of stock antimicrobial solution was added to 100 mL of the water sample to achieve the required final concentrations of ciprofloxacin (4 µg/mL), levofloxacin (8 µg/mL), imipenem (4 µg/mL), ampicillin (32 µg/mL), and streptomycin (64 µg/mL).
Figure A2. Occurrence levels (MPN/100 mL) of total coliforms (A) and Escherichia coli (B) resistant to ciprofloxacin (CIP), levofloxacin (LEV), imipenem (IMI), ampicillin (AMP), and streptomycin (STR) present in the collected surface water samples.
Figure A2. Occurrence levels (MPN/100 mL) of total coliforms (A) and Escherichia coli (B) resistant to ciprofloxacin (CIP), levofloxacin (LEV), imipenem (IMI), ampicillin (AMP), and streptomycin (STR) present in the collected surface water samples.
Membranes 13 00425 g0a2aMembranes 13 00425 g0a2b
Figure A3. Rejection percentage of total coliforms (A) and Escherichia coli (B) from the untreated surface water samples with unmodified (UM) and modified membrane (MM) after 1, 10, 30, and 60 min of filtration. Values marked “>” indicate that the target microorganisms were not detected in the treated water samples.
Figure A3. Rejection percentage of total coliforms (A) and Escherichia coli (B) from the untreated surface water samples with unmodified (UM) and modified membrane (MM) after 1, 10, 30, and 60 min of filtration. Values marked “>” indicate that the target microorganisms were not detected in the treated water samples.
Membranes 13 00425 g0a3aMembranes 13 00425 g0a3b
Figure A4. Inactivation percentage of total coliforms (A) and Escherichia coli (B) from the untreated surface water samples with LEDs emitting at 265 nm and low-pressure ultraviolet lamps (LP-UV) after 1, 3, 10, 30, and 60 min. Values marked “>” indicate that the target microorganisms were not detected in the treated water samples.
Figure A4. Inactivation percentage of total coliforms (A) and Escherichia coli (B) from the untreated surface water samples with LEDs emitting at 265 nm and low-pressure ultraviolet lamps (LP-UV) after 1, 3, 10, 30, and 60 min. Values marked “>” indicate that the target microorganisms were not detected in the treated water samples.
Membranes 13 00425 g0a4aMembranes 13 00425 g0a4b
Table A1. Total coliforms and Escherichia coli (MPN/100 mL) and total solids, total suspended solids, and total dissolved solids (g/L) present in the surface water samples used in the filtration experiments using the unmodified and modified membranes.
Table A1. Total coliforms and Escherichia coli (MPN/100 mL) and total solids, total suspended solids, and total dissolved solids (g/L) present in the surface water samples used in the filtration experiments using the unmodified and modified membranes.
Total Coliforms (MPN/100 mL)Escherichia coli (MPN/100 mL)Total Solids (g/L)Total Suspended Solids (g/L)Total Dissolvel Solids (g/L)
Unmodified
membrane
37613832131
Modified
membrane
26612441140

References

  1. Gonçalves, V.D.; Meirelles-Pereira, F.; Cataldo, M.; Fonseca, B.D.O.; Nogueira, B.A.; Olivella, J.G.B.; Esteves, F.D.A.; Mattos-Guaraldi, A.L.; de Andrade, A.F.B.; Bello, A.R.; et al. Detection of multidrug-resistant Enterobacteriaceae isolated from river waters flowing to the Guanabara Bay and from clinical samples of hospitals in Rio de Janeiro, Brazil. Biomedica 2019, 39, 135–149. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Mittal, P.; Prasoodanan, P.K.V.; Dhakan, D.B.; Kumar, S.; Sharma, V.K. Metagenome of a Polluted River Reveals a Reservoir of Metabolic and Antibiotic Resistance Genes. Environ. Microbiome 2019, 14, 5. [Google Scholar] [CrossRef] [Green Version]
  3. Chen, L.; Zhou, Z.; Shen, C.; Xu, Y. Inactivation of Antibiotic-Resistant Bacteria and Antibiotic Resistance Genes by Electro-chemical Oxidation/Electro-Fenton Process. Water Sci. Technol. 2020, 81, 2221–2231. [Google Scholar] [CrossRef] [PubMed]
  4. Mills, M.C.; Lee, J. The Threat of Carbapenem-Resistant Bacteria in the Environment: Evidence of Widespread Contamination of Reservoirs at a Global Scale. Environ. Pollut. 2019, 255, 113143. [Google Scholar] [CrossRef]
  5. WHO Report. Available online: https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance (accessed on 1 March 2023).
  6. Tagliabue, A.; Rappuoli, R. Changing Priorities in Vaccinology: Antibiotic Resistance Moving to the Top. Front. Immunol. 2018, 9, 1068. [Google Scholar] [CrossRef] [PubMed]
  7. Lucien, M.A.B.; Canarie, M.F.; Kilgore, P.E.; Jean-Denis, G.; Fénélon, N.; Pierre, M.; Cerpa, M.; Joseph, G.A.; Maki, G.; Zervos, M.J.; et al. Antibiotics and antimicrobial resistance in the COVID-19 era: Perspective from resource-limited settings. Int. J. Infect. Dis. 2021, 104, 250–254. [Google Scholar] [CrossRef] [PubMed]
  8. Ghosh, S.; Bornman, C.; Zafer, M.M. Antimicrobial Resistance Threats in the Emerging COVID-19 Pandemic: Where Do We Stand? J. Infect. Public Health 2021, 14, 555–560. [Google Scholar] [CrossRef]
  9. Azuma, T.; Usui, M.; Hayashi, T. Inactivation of Antibiotic-Resistant Bacteria in Wastewater by Ozone-Based Advanced Water Treatment Processes. Antibiotics 2022, 11, 210. [Google Scholar] [CrossRef]
  10. Teixeira, P.; Tacão, M.; Pureza, L.; Gonçalves, J.; Silva, A.; Cruz-Schneider, M.P.; Henriques, I. Occurrence of Carbapenemase-Producing Enterobacteriaceae in a Portuguese River: BlaNDM, BlaKPC and BlaGES among the Detected Genes. Environ. Pollut. 2020, 260, 113913. [Google Scholar] [CrossRef]
  11. Cohen, R.; Paikin, S.; Rokney, A.; Rubin-Blum, M.; Astrahan, P. Multidrug-resistant enterobacteriaceae in coastal water: An emerging threat. Antimicrob. Resist. Infect. Control. 2020, 9, 1–9. [Google Scholar] [CrossRef]
  12. Uluseker, C.; Kaster, K.M.; Thorsen, K.; Basiry, D.; Shobana, S.; Jain, M.; Kumar, G.; Kommedal, R.; Pala-Ozkok, I. A Review on Occurrence and Spread of Antibiotic Resistance in Wastewaters and in Wastewater Treatment Plants: Mechanisms and Perspectives. Front. Microbiol. 2021, 12, 717809. [Google Scholar] [CrossRef] [PubMed]
  13. Li, Y.; Zhu, G.; Ng, W.J.; Tan, S.K. A review on removing pharmaceutical contaminants from wastewater by constructed wetlands: Design, performance and mechanism. Sci. Total. Environ. 2014, 468, 908–932. [Google Scholar] [CrossRef] [PubMed]
  14. Bergeron, S.; Boopathy, R.; Nathaniel, R.; Corbin, A.; LaFleur, G. Presence of Antibiotic Resistant Bacteria and Antibiotic Resistance Genes in Raw Source Water and Treated Drinking Water. Int. Biodeterior. Biodegrad. 2015, 102, 370–374. [Google Scholar] [CrossRef]
  15. Pal, A.; Gin, K.Y.-H.; Lin, A.Y.-C.; Reinhard, M. Impacts of Emerging Organic Contaminants on Freshwater Resources: Re-view of Recent Occurrences, Sources, Fate and Effects. Sci. Total Environ. 2010, 408, 6062–6069. [Google Scholar] [CrossRef]
  16. Byrne, C.; Subramanian, G.; Pillai, S.C. Recent advances in photocatalysis for environmental applications. J. Environ. Chem. Eng. 2018, 6, 3531–3555. [Google Scholar] [CrossRef]
  17. Oliveira, B.R.; Sanches, S.; Huertas, R.M.; Barreto Crespo, M.T.B.; Pereira, V.J. Treatment of a real water matrix inoculated with Aspergillus fumigatus using a photocatalytic membrane reactor. J. Membr. Sci. 2020, 598, 117788. [Google Scholar] [CrossRef]
  18. Chahal, C.; Akker, B.V.D.; Young, F.; Franco, C.; Blackbeard, J.; Monis, P. Pathogen and Particle Associations in Wastewater. Adv. Appl. Microbiol. 2016, 97, 63–119. [Google Scholar] [CrossRef] [PubMed]
  19. Eray, E.; Boffa, V.; Jørgensen, M.K.; Magnacca, G.; Candelario, V.M. Enhanced fabrication of silicon carbide membranes for wastewater treatment: From laboratory to industrial scale. J. Membr. Sci. 2020, 606, 118080. [Google Scholar] [CrossRef]
  20. Fraga, M.; Sanches, S.; Crespo, J.; Pereira, V. Assessment of a New Silicon Carbide Tubular Honeycomb Membrane for Treatment of Olive Mill Wastewaters. Membranes 2017, 7, 12. [Google Scholar] [CrossRef] [Green Version]
  21. Bernardo, J.; Sério, J.; Oliveira, B.; Marques, A.P.; Huertas, R.; Crespo, J.G.; Pereira, V.J. Towards a Novel Combined Treatment Approach Using Light-Emitting Diodes and Photocatalytic Ceramic Membranes. Water 2022, 14, 292. [Google Scholar] [CrossRef]
  22. Marques, A.P.; Huertas, R.; Bernardo, J.; Oliveira, B.; Crespo, J.G.; Pereira, V.J. Retention and Inactivation of Quality Indica-tor Bacteria Using a Photocatalytic Membrane Reactor. Catalysts 2022, 12, 680. [Google Scholar] [CrossRef]
  23. Huertas, R.M.; Fraga, M.C.; Crespo, J.G.; Pereira, V.J. Solvent Free Process for the Development of Photocatalytic Membranes. Molecules. 2019, 24, 4481. [Google Scholar] [CrossRef] [Green Version]
  24. Chang, S.-M.; Liu, W.-S. The roles of surface-doped metal ions (V, Mn, Fe, Cu, Ce, and W) in the interfacial behavior of TiO2 photocatalysts. Appl. Catal. B Environ. 2014, 156, 466–475. [Google Scholar] [CrossRef]
  25. Sosa, S.M.; Huertas, R.; Pereira, V.J. Combination of Zinc Oxide Photocatalysis with Membrane Filtration for Surface Water Disinfection. Membranes 2023, 13, 56. [Google Scholar] [CrossRef]
  26. Perarasan, T.; John Peter, I.; Muthu Kumar, A.; Rajamanickam, N.; Ramachandran, K.; Raja Mohan, C. Copper Doped Titanium Dioxide for Enhancing the Photovoltaic Behavior in Solar Cell. Mater. Today Proc. 2021, 35, 66–68. [Google Scholar] [CrossRef]
  27. Mahmud, M.A.; Chin, L.Y.; Khusaimi, Z.; Zainal, Z. Influence of Deposition Time on the Surface Morphology and Photoelectrochemical Properties of Copper Doped Titania Nanotubes Prepared by Electrodeposition; AIP Publishing LLC: Selangor, Malaysia, 2018; p. 20030. [Google Scholar]
  28. Pongwan, P.; Wetchakun, K.; Phanichphant, S.; Wetchakun, N. Enhancement of visible-light photocatalytic activity of Cu-doped TiO2 nanoparticles. Res. Chem. Intermed. 2015, 42, 2815–2830. [Google Scholar] [CrossRef]
  29. Dunlop, P.; Sheeran, C.; Byrne, J.; McMahon, M.; Boyle, M.; McGuigan, K. Inactivation of clinically relevant pathogens by photocatalytic coatings. J. Photochem. Photobiol. A Chem. 2010, 216, 303–310. [Google Scholar] [CrossRef]
  30. Hijnen, W.A.M.; Beerendonk, E.F.; Medema, G.J. Inactivation credit of UV radiation for viruses, bacteria and protozoan (oo)cysts in water: A review. Water Res. 2006, 40, 3–22. [Google Scholar] [CrossRef] [PubMed]
  31. Song, K.; Mohseni, M.; Taghipour, F. Application of ultraviolet light-emitting diodes (UV-LEDs) for water disinfection: A review. Water Res. 2016, 94, 341–349. [Google Scholar] [CrossRef] [PubMed]
  32. Chen, J.; Loeb, S.; Kim, J.-H. LED revolution: Fundamentals and prospects for UV disinfection applications. Environ. Sci. Water Res. Technol. 2017, 3, 188–202. [Google Scholar] [CrossRef]
  33. Oliveira, B.; Crespo, M.B.; Pereira, V. Small but powerful: Light-emitting diodes for inactivation of Aspergillus species in real water matrices. Water Res. 2020, 168, 115108. [Google Scholar] [CrossRef]
  34. Oliveira, B.R.; Marques, A.P.; Asif, M.; Crespo, M.T.B.; Pereira, V.J. Light-emitting diodes effect on Aspergillus species in filtered surface water: DNA damage, proteome response and potential reactivation. Environ. Pollut. 2021, 287, 117553. [Google Scholar] [CrossRef]
  35. Gonzalez-Perez, A.; Persson, K.M.; Samuelson, L. Semiconductor Eco-Materials for Water Treatment. In Handbook of Eco-materials; Martínez, L.M.T., Kharissova, O.V., Kharisov, B.I., Eds.; Springer International Publishing: Cham, Switzerland, 2019; pp. 413–439. [Google Scholar]
  36. Chatterley, C.; Linden, K. Demonstration and evaluation of germicidal UV-LEDs for point-of-use water disinfection. J. Water Health 2010, 8, 479–486. [Google Scholar] [CrossRef] [Green Version]
  37. Xiong, P.; Hu, J. Inactivation/reactivation of antibiotic-resistant bacteria by a novel UVA/LED/TiO2 system. Water Res. 2013, 47, 4547–4555. [Google Scholar] [CrossRef] [PubMed]
  38. Claro, E.M.T.; Bidoia, E.D.; de Moraes, P.B. A high-performance doped photocatalysts for inactivation of total coliforms in superficial waters using different sources of radiation. J. Environ. Manag. 2016, 177, 264–270. [Google Scholar] [CrossRef] [Green Version]
  39. Biancullo, F.; Moreira, N.F.F.; Ribeiro, A.R.; Manaia, C.M.; Faria, J.L.; Nunes, O.C.; Silva, A.M.T. Heterogeneous photocatalysis using UVA-LEDs for the removal of antibiotics and antibiotic resistant bacteria from urban wastewater treatment plant effluents. Chem. Eng. J. 2019, 367, 304–313. [Google Scholar] [CrossRef]
  40. Fraga, M.C.; Huertas, R.M.; Crespo, J.G.; Pereira, V.J. Novel Submerged Photocatalytic Membrane Reactor for Treatment of Olive Mill Wastewaters. Catalysts 2019, 9, 769. [Google Scholar] [CrossRef] [Green Version]
  41. SOLIDS. In Standard Methods For the Examination of Water and Wastewater; American Public Health Association: Washington, DC, USA, 2017.
  42. Fewtrell, L.; Bartram, J. (Eds.) Water Quality: Guidelines, Standards and Health: Assessment of Risk and Risk Management for Water-Related Infectious Diseases; IWA: London, UK, 2001. [Google Scholar]
  43. Collivignarelli, M.C.; Abbà, A.; Miino, M.C.; Caccamo, F.M.; Torretta, V.; Rada, E.C.; Sorlini, S. Disinfection of Wastewater by UV-Based Treatment for Reuse in a Circular Economy Perspective. Where Are We at? Int. J. Environ. Res. Public Health 2020, 18, 77. [Google Scholar] [CrossRef] [PubMed]
  44. Warden, P.S.; DeSarno, M.S.; Volk, S.E.; Eldred, B.J. Evaluation of Colilert-18® for Detection and Enumeration of Fecal Coliform Bacteria in Wastewater Using the U.S. Environmental Protection Agency Alternative Test Procedure Protocol. J. AOAC Int. 2011, 94, 1573–1580. [Google Scholar] [CrossRef] [Green Version]
  45. Yakub, G.P.; Castric, D.A.; Stadterman-Knauer, K.L.; Tobin, M.J.; Blazina, M.; Heineman, T.N.; Yee, G.Y.; Frazier, L. Evaluation of Colilert and Enterolert Defined Substrate Methodology for Wastewater Applications. Water Environ. Res. 2002, 74, 131–135. [Google Scholar] [CrossRef]
  46. ISO 9308-2; Water Quality—Enumeration of Escherichia coli and Coliform Bacteria—Part 2: Most Probable Number Method. ISO: Geneva, Switzerland, 2012.
  47. Galvin, S.; Boyle, F.; Hickey, P.; Vellinga, A.; Morris, D.; Cormican, M. Enumeration and Characterization of Antimicrobial-Resistant Escherichia coli Bacteria in Effluent from Municipal, Hospital, and Secondary Treatment Facility Sources. Appl. Env. Microbiol. 2010, 76, 4772–4779. [Google Scholar] [CrossRef] [Green Version]
  48. European Centre for Disease Prevention and Control. Surveillance of Antimicrobial Resistance in Europe: Annual Report of the European Antimicrobial Resistance Surveillance Network (EARS Net) 2018; Publications Office: Luxembourg, Luxembourg, 2019. [Google Scholar]
  49. Weinstein, M.P. Performance Standards for Antimicrobial Susceptibility Testing, 28th ed.; Clinical and Laboratory Standards Institute: Wayne, PA, USA, 2018. [Google Scholar]
  50. Coleman, B.L.; Louie, M.; Salvadori, M.I.; McEwen, S.A.; Neumann, N.; Sibley, K.; Rebecca, J.I.; Jamieson, F.B.; Daignault, D.; Majury, A.; et al. Contamination of Canadian private drinking water sources with antimicrobial resistant Escherichia coli. Water Res. 2013, 47, 3026–3036. [Google Scholar] [CrossRef]
  51. Fecal Enterococci. In Standard Methods For the Examination of Water and Wastewater; American Public Health Association: Washington, DC, USA, 2017.
  52. ISO 7899-1:1998/COR 1; Water Quality—Detection and Enumeration of Intestinal Enterococci—Part 1: Miniaturized Method (Most Probable Number) for Surface and Wastewater—Technical Corrigendum 1. ISO: Geneva, Switzerland, 2000.
  53. Kamel, A.; Fuentes, M.; Palacios, A.M.; Rodrigo, M.J.; Vivar, M. Deactivating environmental strains of Escherichia coli, Entero-coccus faecalis and Clostridium perfringens from a real wastewater effluent using UV-LEDs. Heliyon 2022, 23, e12628. [Google Scholar] [CrossRef]
  54. Pereira, A.; Santos, A.; Tacão, M.; Alves, A.; Henriques, I.; Correia, A. Genetic diversity and antimicrobial resistance of Escherichia coli from Tagus estuary (Portugal). Sci. Total. Environ. 2013, 461–462, 65–71. [Google Scholar] [CrossRef] [PubMed]
  55. Henriques, I.S.; Araújo, S.; Azevedo, J.S.; Alves, M.S.; Chouchani, C.; Pereira, A.; Correia, A. Prevalence and Diversity of Carbapenem-Resistant Bacteria in Untreated Drinking Water in Portugal. Microb. Drug Resist. 2012, 18, 531–537. [Google Scholar] [CrossRef] [PubMed]
  56. Tornevi, A.; Bergstedt, O.; Forsberg, B. Precipitation Effects on Microbial Pollution in a River: Lag Structures and Seasonal Effect Modification. PLoS ONE 2014, 9, e98546. [Google Scholar] [CrossRef]
  57. Gekenidis, M.T.; Qi, W.; Hummerjohann, J.; Zbiden, R.; Walsh, F.; Drissner, D. Antibiotic-resistant indicator bacteria in irrigation water: High prevalence of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli. PLoS ONE 2018, 11, 207857. [Google Scholar] [CrossRef] [PubMed]
  58. Harmon, D.E.; Miranda, O.A.; McCarley, A.; Eshaghian, M.; Carlson, N.; Ruiz, C. Prevalence and characterization of carbapenem-resistant bacteria in water bodies in the Los Angeles–Southern California area. Microbiologyopen 2019, 8, e00692. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. European Food Safety (EFSA). Report from the Task Force on Zoonoses Data Collection including guidance for harmonized monitoring and reporting of antimicrobial resistance in commensal Escherichia coli and Enterococcus spp. from food animals. EFSA J. 2008, 141, 1–44. [Google Scholar]
  60. Scheutz, F.; Strockbine, N.A. Escherichia. In Bergey’s Manual of Systematics of Archaea and Bacteria, 1st ed.; Whitman, W.B., Rainey, F., Kämpfer, P., Trujillo, M., Chun, J., DeVos, P., Hedlund, B., Dedysh, S., Eds.; Wiley: New York, NY, USA, 2015; pp. 1–49. [Google Scholar]
  61. Shen, C.-H. Detection and Analysis of Nucleic Acids. In Diagnostic Molecular Biology; Elsevier: Amsterdam, The Netherlands, 2019; pp. 167–185. [Google Scholar]
  62. Vilhunen, S.; Särkkä, H.; Sillanpää, M. Ultraviolet light-emitting diodes in water disinfection. Environ. Sci. Pollut. Res. 2009, 16, 439–442. [Google Scholar] [CrossRef]
  63. Oguma, K.; Kita, R.; Sakai, H.; Murakami, M.; Takizawa, S. Application of UV light emitting diodes to batch and flow-through water disinfection systems. Desalination 2013, 328, 24–30. [Google Scholar] [CrossRef]
  64. Sholtes, K.A.; Lowe, K.; Walters, G.W.; Sobsey, M.D.; Linden, K.G.; Casanova, L.M. Comparison of ultraviolet light-emitting diodes and low-pressure mercury-arc lamps for disinfection of water. Environ. Technol. 2016, 37, 2183–2188. [Google Scholar] [CrossRef]
  65. Li, G.-Q.; Wang, W.-L.; Huo, Z.-Y.; Lu, Y.; Hu, H.-Y. Comparison of UV-LED and low pressure UV for water disinfection: Photoreactivation and dark repair of Escherichia coli. Water Res. 2017, 126, 134–143. [Google Scholar] [CrossRef] [PubMed]
  66. Song, K.; Taghipour, F.; Mohseni, M. Microorganisms inactivation by continuous and pulsed irradiation of ultraviolet light-emitting diodes (UV-LEDs). Chem. Eng. J. 2018, 343, 362–370. [Google Scholar] [CrossRef]
  67. Jarvis, P.; Autin, O.; Goslan, E.H.; Hassard, F. Application of Ultraviolet Light-Emitting Diodes (UV-LED) to Full-Scale Drinking-Water Disinfection. Water 2019, 11, 1894. [Google Scholar] [CrossRef] [Green Version]
  68. Meckes, M.C. Effect of UV light disinfection on antibiotic-resistant coliforms in wastewater effluents. Appl. Environ. Microbiol. 1982, 43, 371–377. [Google Scholar] [CrossRef] [Green Version]
  69. Zhang, C.M.; Xu, L.M.; Wang, X.C.; Zhuang, K.; Liu, Q.Q. Effects of ultraviolet disinfection on antibiotic-resistant Escherichia coli from wastewater: Inactivation, antibiotic resistance profiles and antibiotic resistance genes. J. Appl. Microbiol. 2017, 123, 295–306. [Google Scholar] [CrossRef]
  70. Guo, M.-T.; Kong, C. Antibiotic resistant bacteria survived from UV disinfection: Safety concerns on genes dissemination. Chemosphere 2019, 224, 827–832. [Google Scholar] [CrossRef] [PubMed]
  71. Li, H.; Hou, A.; Chen, T.; Yang, D.; Chen, Z.; Shen, Z.; Qiu, Z.; Yin, J.; Yang, Z.; Shi, D.; et al. Decreased Antibiotic Susceptibility in Pseudomonas aeruginosa Surviving UV Irradition. Front. Microbiol. 2021, 12, 604245. [Google Scholar] [CrossRef]
Figure 1. Occurrence levels (MPN/100 mL) of water quality indicator bacteria (total coliforms, E. coli, and enterococci) in river water.
Figure 1. Occurrence levels (MPN/100 mL) of water quality indicator bacteria (total coliforms, E. coli, and enterococci) in river water.
Membranes 13 00425 g001
Figure 2. Percentage of total coliforms (A) and Escherichia coli (B) resistant to ciprofloxacin (CIP), levofloxacin (LEV), imipenem (IMI), ampicillin (AMP), and streptomycin (STR) present in the collected surface water samples.
Figure 2. Percentage of total coliforms (A) and Escherichia coli (B) resistant to ciprofloxacin (CIP), levofloxacin (LEV), imipenem (IMI), ampicillin (AMP), and streptomycin (STR) present in the collected surface water samples.
Membranes 13 00425 g002
Table 1. pH and content in solids of the untreated surface water samples collected in this study.
Table 1. pH and content in solids of the untreated surface water samples collected in this study.
ParametersAverage and Standard Deviation
pH7.2 ± 0.6
Total solids (g/L)34.6 ± 3.6
Total suspended solids (g/L)1.0 ± 0.3
Total dissolved solids (g/L)33.6 ± 3.6
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Sério, J.; Marques, A.P.; Huertas, R.; Crespo, J.G.; Pereira, V.J. Occurrence and Treatment of Antibiotic-Resistant Bacteria Present in Surface Water. Membranes 2023, 13, 425. https://doi.org/10.3390/membranes13040425

AMA Style

Sério J, Marques AP, Huertas R, Crespo JG, Pereira VJ. Occurrence and Treatment of Antibiotic-Resistant Bacteria Present in Surface Water. Membranes. 2023; 13(4):425. https://doi.org/10.3390/membranes13040425

Chicago/Turabian Style

Sério, João, Ana Paula Marques, Rosa Huertas, João Goulão Crespo, and Vanessa Jorge Pereira. 2023. "Occurrence and Treatment of Antibiotic-Resistant Bacteria Present in Surface Water" Membranes 13, no. 4: 425. https://doi.org/10.3390/membranes13040425

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop