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Article

Photocatalytic Degradation of Diclofenac by Hydroxyapatite–TiO2 Composite Material: Identification of Transformation Products and Assessment of Toxicity

by
Sapia Murgolo
1,†,
Irina S. Moreira
2,†,
Clara Piccirillo
3,
Paula M. L. Castro
2,
Gianrocco Ventrella
1,4,
Claudio Cocozza
4 and
Giuseppe Mascolo
1,*
1
CNR, Istituto di Ricerca Sulle Acque, Via F. De Blasio 5, 70132 Bari, Italy
2
CBQF—Centro de Biotecnologia e Química Fina, Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa/Porto, Rua Arquiteto Lobão Vital, 172, 4200-374 Porto, Portugal
3
CNR, Institute of Nanotechnology, Campus Ecoteckne, Via Monteroni, 73100 Lecce, Italy
4
Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti—Di.S.S.P.A., Università di Bari, Via Amendola 165/A, 70126 Bari, Italy
*
Author to whom correspondence should be addressed.
†
These authors equally contributed to this work.
Materials 2018, 11(9), 1779; https://doi.org/10.3390/ma11091779
Submission received: 24 August 2018 / Revised: 14 September 2018 / Accepted: 17 September 2018 / Published: 19 September 2018
(This article belongs to the Special Issue Application of Photoactive Nanomaterials in Degradation of Pollutants)
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Abstract

:
Diclofenac (DCF) is one of the most detected pharmaceuticals in environmental water matrices and is known to be recalcitrant to conventional wastewater treatment plants. In this study, degradation of DCF was performed in water by photolysis and photocatalysis using a new synthetized photocatalyst based on hydroxyapatite and TiO2 (HApTi). A degradation of 95% of the target compound was achieved in 24 h by a photocatalytic treatment employing the HApTi catalyst in comparison to only 60% removal by the photolytic process. The investigation of photo-transformation products was performed by means of UPLC-QTOF/MS/MS, and for 14 detected compounds in samples collected during treatment with HApTi, the chemical structure was proposed. The determination of transformation product (TP) toxicity was performed by using different assays: Daphnia magna acute toxicity test, Toxi-ChromoTest, and Lactuca sativa and Solanum lycopersicum germination inhibition test. Overall, the toxicity of the samples obtained from the photocatalytic experiment with HApTi decreased at the end of the treatment, showing the potential applicability of the catalyst for the removal of diclofenac and the detoxification of water matrices.

Graphical Abstract

1. Introduction

The most common wastewater treatment plants (WWTPs) used worldwide are mainly based on the activated sludge technique and are not able to remove and/or degrade several families of trace compounds, known as “contaminants of emerging concern” (CECs). Particularly, the use of pharmaceuticals (PhACs) in everyday human life, continually introduced from the market for the healthy population and easily accessible without a prescription, represents a relevant source of contamination of the aquatic environment, as several of these are not completely metabolized by the human organism; they are, therefore, eliminated by urine and faeces [1,2,3].
Moreover, biological processes in WWTPs as well as subsequent chemical treatments may convert PhACs into transformation products (TPs) that can be more toxic than their parent compounds [4,5,6]. Several toxicological and ecotoxicological studies have been performed to obtain an overview of the risk assessment of TPs detected in waters and wastewaters [7,8,9].
Both trace compounds and their relative TPs have been found in different environmental compartments, including WWTP effluent, surface water, groundwater, drinking water, soil, sediments, and sludge, and their concentration ranged from μg L−1 to ng L−1. At present, CECs are not regulated, but the relevance of addressing this issue was acknowledged by the Directive 2013/39/EU listing priority substances and further supported by the implementation of Decision (EU) 2015/495 [10]. In addition, no relevant knowledge is available about the potential ecological impacts of CECs. The continuous discharge of and long-term exposure to these contaminants, however, may have long-term effects on human health. Reproductive impairment, hormonal dysfunction, development of antibiotic-resistant bacteria, and cancer may be possible consequences [11,12].
Among the PhACs, biodegradation of nonsteroidal anti-infiammatory drugs (NSAIDs) has been found to be slow or negligible. Several reviews published in recent years have discussed the occurrence, persistence, and fate of the diclofenac (DCF). DCF is one of the most detected PhACs in the water matrix and it is recalcitrant to conventional wastewater treatment plants. Data reported in the literature have shown that WWTPs remove DCF with an efficiency in the range of 21–40% [13,14,15,16].
After consumption, DCF is mostly transformed into hydroxyl metabolites from human metabolism and subsequently excreted from the body in the aqueous environment. Furthermore, more DCF metabolites are present in aqueous matrices due to biological processes in WWTPs which convert DCF to hydroxydiclofenac; the same process takes place through a photochemical process, i.e., photolysis. These data highlight that not only DCF but also its metabolites and photo-transformation products with different physicochemical properties can be sources of contamination in the aqueous environment [17,18].
The literature reports that the combination of biological processes with advanced oxidation processes (AOPs) led to increased efficiency in the removal of organics [19,20]; because of this, a great amount of work has been published on AOPs as efficient treatments for the removal of PhACs and their metabolites in water [21,22,23]. Among the AOPs, particular attention has been given to heterogeneous photocatalysis based on materials such as TiO2, as they represent a promising and environmentally sustainable wastewater treatment technology. Their activity is based on the formation of highly reactive OH radicals which are nonselective and have a high oxidative power (E0 = +2.80 V) [24,25]. In the field of photocatalysis, a large number of new TiO2-based photocatalysts have been developed combining TiO2 with other materials that can enhance its performance [26,27,28,29]. The combination with hydroxyapatite (Ca10(PO4)(OH)2, HAp), in particular, seems very promising due to its excellent absorption properties. In fact, in a multiphasic HAp-TiO2 material, pollutants get adsorbed on the surface more easily, leading to a higher degradation rate ([30] and references therein).
A recent study showed that it is possible to obtain a photocatalyst based on HAp and TiO2 using cod fish bones as a source; HAp, in fact, is the main component in human and animal bones. Piccirillo et al. showed that treating the bones in a Ti (IV)-containing solution and successively calcining them leads to a photoactive multiphasic material [31]. This material was tested in the degradation of DCF in aqueous matrices using a bench-scale system [32]. Results showed that when compared to photolysis, HAp-titania significantly increases the diclofenac removal and is also effective when employed in a complex matrix (wastewater) or when reused in subsequent cycles of treatments. FTIR measurements of the photocatalyst taken before and after the photodegradation experiments showed that the powder material did not present any significant property change [32].
However, measurements of total organic carbon at the end of the experiments showed incomplete mineralization of the target pollutant. This indicates the production of some TPs which can be less biodegradable and/or more toxic than the parent compound.
Previous studies have investigated diclofenac TPs in water matrices after photocatalytic degradation [33,34,35]; to the best of our knowledge, however, no work has been done when hydroxyapatite-based catalysts were used.
The aim of this work is, therefore, a follow-up of the experimental results described in E. Màrquez Brazòn et al.’s work [32] in order to investigate the possible presence of photo-transformation products of diclofenac in water after photolysis and photocatalysis with hydroxyapatite and TiO2 (HApTi) and to assess their level of toxicity in comparison with the parent DCF.
The investigation of TP structure was performed by means of an analytical approach based on high-resolution mass spectrometry coupled with liquid chromatography (LC-HRMS), providing a proposed molecular formula and elucidating the respective chemical structures [36]. Considering the proposed chemical structures of the identified TPs, the degradation mechanism of DCF with only photolysis and with photocatalysis (in the presence of a hydroxyapatite-based catalyst) was compared. Finally, for a complete risk valuation study on TPs of DCF formed during the investigated treatments, determination of their toxicity was performed by using different assays: Daphnia magna acute toxicity test, Toxi-ChromoTest, and Lactuca sativa and Solanum lycopersicum germination inhibition test.

2. Materials and Methods

2.1. Chemicals

DCF was purchased from Sigma-Aldrich (Steinheim, Germany). HPLC-grade methanol (Riedel-de Haën, Baker) was used to prepare a stock standard solution of DCF as well as for ultra-performance liquid chromatography (UPLC) analysis. Ultrapure water (18.2 MΩcm, organic carbon ≤ 4 μg/L) was supplied by a Milli-Q water system (Gradient A-10, Millipore SAS, Molsheim, France) and used for both UPLC analysis and to perform investigated treatments. All the analysed samples were previously filtered on syringe CA membrane filters with a 0.45-µm pore size.

2.2. Synthesis and Characterisation of HApTi

A detailed description of the photocatalytic material preparation and characterization was previously published [31]. Briefly, the photocatalyst was prepared from cod fish bones, which were treated in a basic Ti(SO4)2 solution and successively calcined at 800 °C. The powder was constituted by hydroxyapatite (HAp), tricalcium phosphate, and TiO2 (anatase) in a proportion of 54, 45, and 1 wt %, respectively. For a more complete description of the material, see the reference literature.

2.3. Bench-Scale Experiments

Photocatalysis experiments were performed as previously described [32]. Briefly, a volume of 50 mL of DCF solution at 5 mg/L in distilled water was placed in 100-mL flasks with 0.2 g of photocatalyst to achieve a concentration of 4 g/L. The flasks were magnetically stirred and irradiated from the top with a XX-15 BLB UV lamp (λ 365 nm) (see reference [37] for the full emission spectrum); the irradiation density was 1.80 mW/cm2 (value given by the producer). Experiments were also performed as described above but with no photocatalyst to monitor the DCF degradation due to UV illumination. Before starting the experiments, the solutions were left stirring in the dark for 30 min to ensure that removal of DCF was due to photodegradation and not to adsorption on the surface of the photocatalyst. Samples were taken at regular intervals to assess the degradation of DCF. DCF concentration was determined by a validated HPLC-UV method [38,39]. Experiments were performed in duplicate. New experiments were performed in triplicate for the identification of the TPs. Samples were analysed by UPLC-QTOF/MS/MS as described in the following section.

2.4. Analytical Setup and Data Processing

An Ultimate 3000 System (Thermo Fisher Scientific, Waltham, MA, USA) interfaced with a TripleTOF 5600+ high-resolution mass spectrometer (AB-Sciex), equipped with a duo-spray ion source operated in electrospray (ESI) mode (in positive and negative ion modes), was used to identify TPs. An information-dependent acquisition (IDA) method was used.
The mass spectrometer was calibrated using standards recommended by AB SCIEX for calibrating the AB SCIEX TripleTOF® 5600 Instrument, i.e., ESI Positive Calibration Solution and ESI Negative Calibration Solution. These solutions consist of a list of TOF MS Calibration Ions in the range of 140–1500 Da, including reserpine and sulfinpyrazone for MS/MS calibration in positive and negative mode, respectively, for which the list of product ions is known. All the information related to these lists are saved in reference tables available in the calibration section of the instrument. Briefly, before a run of analyses, a manual calibration was carried out by injecting the calibration solution by means of a Calibrant Delivery System (CDS) in tuning mode. Each calibration solution was configured on the CDS by a specific valve position. The instrument was therefore calibrated by comparing the exact mass of the acquired ions (experimental mass) with respect to that of the ions listed in the reference tables (theoretical mass), both in TOF MS and Product Ion MS/MS mode. When the batch was submitted, the calibration samples were inserted into the queue every five samples. Each run started with a calibration sample. With the CDS configured, the software automatically created a calibration method that matched the acquisition method that was used for the next sample in the queue. Calibration data were saved to a separate data file for each calibration sample.
The MS interface conditions for sample acquisition were the following: curtain gas (psig) 35, ion source gas 1 nebulizer gas (psig) 55, ion source gas 2 turbo gas (psig) 55, IonSpray voltage (V) 5500 (positive mode) and −4500 (negative mode), source temperature (°C) 450, declustering potential (V) 80, m/z range 100–1000 Da.
A Waters BEH C18 column 2.1 × 150 mm, 1.7 µm, was used for the chromatographic separation, operating at a flow of 0.200 mL/min. Five-microliter samples were injected and eluted with a binary gradient consisting of 1.5 mM ammonium acetate in H2O/MeOH 95/5 (A) and 1.5 mM ammonium acetate in methanol (B) as follows: 0% B at the initial point, linearly increased to 95% in 12 min, and held for 5 min. A 7-min equilibration step at 0% B was used at the end of each run to bring the total run time per sample to 24 min. As for the data processing, both suspect target and nontarget screenings, with identification of already known in the literature and novel TPs, respectively, were carried out. Specifically, all the collected samples corresponding to the reaction times for a specific treatment were processed by a specific analytical protocol, including two steps:
-
Suspect screening: The AB-Sciex software, i.e., SciexOS 1.2, PeakView 2.2, MasterView 1.1, and LibraryView 1.1.0, were employed by using a list of likely TPs collected from the literature or from prediction models. The samples were screened for those candidates on the basis of the mass exact, isotopic pattern, fragmentation MS/MS patter, and chromatographic retention time. However, since no reference standards are available for all revealed TPs, the subsequent confirmation of the analytes is not completely possible. Therefore, the molecular formula and structure of suspected molecules can be only predicted.
-
Nontarget screening: An open source software, i.e., enviMass 3.5 [40], was used for the investigation of compounds for which no previous knowledge is available and which is usually carried out after suspect screening. Briefly, after a first step of peak picking, the following steps include the removal of peaks found also in the blank sample, the mass recalibration, and the componentization of isotopes and adducts.
The assignment of the molecular formula to the accurate mass of the selected peak was performed using AB-Sciex software. Moreover, based on the interpretation of the fragmentation pattern generated in MS/MS acquisition, a candidate structure was assigned to the identified TPs, which provided a tool to hypothesize a possible degradation pathway.

2.5. Toxicity Test

The toxicity of DCF solutions was evaluated through bioassays in samples collected at the times 0, 4, 6, and 24 h in the duplicate experiments, initially performed both with and without photocatalyst for assessing the DCF decay. Samples were analysed without dilution in order to assess the evolution of whole sample toxicity during photodegradation experiments and to compare the resulted final toxicity in the presence and absence of the photocatalytic material. All toxicity assays were performed in quadruplicate of combined duplicate samples from photodegradation experiments.
The 24–48-h immobilization of crustaceans D. magna bioassays were performed using Daphtoxkit F Magna (MicroBio Tests, Mariakerke (Gent), Belgium) following manufacturer recommendations. The toxicity was measured as the immobilization of D. magna according to the procedures of OCED Guideline 202 [41] and ISO 6341 [42] after 15-min exposure.
The Toxi-ChromoTest (EBPI, Mississauga, ON, Canada) was used according to manufacturer instructions to determine the samples’ potential for the inhibition of the de novo synthesis of an inducible β-galactosidase by an E. coli mutant. The activity of the enzyme was detected by the hydrolysis of a chromogenic substrate.
The acute bioassay with L. sativa and S. lycopersicum evaluated the potential toxicity considering the inhibition of seed germination and root and shoot elongation according to OECD Guideline 208 [43]. Experiments were performed in triplicate at 25 °C for 7 days. The inhibition normalized on negative control data were expressed as percentage of effect.

3. Results and Discussion

In the present work, the experimental setup used for photodegradation was slightly changed compared to previous experiments [32] to have a higher irradiation dose and, hence, higher degradation efficiency. The results of photodegradation of DCF plotted in Figure 1 showed that in the photolytic assay, i.e., containing no catalyst, a removal of about 60% of the target compound was observed, and the presence of the HApTi catalyst increased the degradation to 95% at the end of the experiment, demonstrating the photocatalytic efficiency of the catalyst for DCF removal.

3.1. Identification of the Transformation Products Produced by DCF Photodegradation

Although almost 95% and 60% of DCF was removed under the investigated treatment in the presence of HApTi and only UV light, respectively. The TOC measurements showed that the pharmaceutical was not completely mineralized [32]. From this perspective, samples collected at different irradiation times (0, 4, 6, and 24 h) during both photolytic and photocatalytic experiments were analysed for TPs by UPLC/ESI-QTOF-MS-MS. The acquired chromatograms showed several peaks, of which only the main ones were identified by merging output results of both the suspect and nontarget screening protocol. In the first step of identification, the samples were processed by querying the detected peaks with a list of the main TPs collected from already published works in which DCF photodegradation was investigated [15,33,44,45,46,47]. Based on the analyses acquired in full scan mode as well as on the corresponding exact masses, considering both the isotopic cluster of molecular ions and the fragmentation pattern, 10 major photo-transformation products were identified. The analytical protocol employed for nontarget screening also allowed the detection of four new photo-transformation products clearly showing in the mass spectra the characteristic isotopic cluster of chlorine-containing compounds.
In Table 1, the accurate masses (calculated and measured) of the 14 detected Photo TPs, the ionization mode acquisition, the predicted formula, and the calculated mass errors are listed. The accurate mass results were found with an error in a range between −2 and +1 ppm, thus providing the assignment of proposed elemental compositions with confidence. For each potential photo-transformation product, the elucidation of the structure was assessed based on the interpretation of the accurate mass of the MS/MS fragments as well as considering all the reaction mechanisms likely to occur in the oxidation processes applied for DCF removal, i.e., photocatalysis using HApTi as a catalyst (Figure 2). Oxidation is one of the major degradation mechanisms during photocatalytic treatment. Indeed, the formation of oxidized compounds was confirmed by the identification of Photo TPs, the predicted formula of which showed an increase of oxygen atoms with respect to the parent DCF elemental composition. An oxidative displacement of chloride from DCF was proposed for Photo TP-1, with a decrease of 18 Da in terms of m/z resulting from the loss of HCl and subsequent hydroxylation, whereas an increase of 16 Da was indicative of DCF hydroxylation in Photo TP-2. Although MS data were not enough to define the exact position of the hydroxyl group, the fragment m/z 166.0643 detected on Photo TP-2 (Table 1) proved that the hydroxylation occurred on the nonchlorinated ring.
Photo TP-3 revealed two fewer hydrogen atoms with respect to Photo TP-2 with the formation of an additional double bound. The presence of the carboxylic acid functionality confirmed by the MS/MS fragment (fragment showed the loss of CO2) led to assigning the structure of a benzoquinone imine species to the Photo TP-3. For Photo TP-4, a mass increase of 16 Da in relation to Photo TP-3 reveals a subsequent addition of one oxygen atom; according with the fragmentation pattern, this could be explain by a hydroxylation on the chlorinated ring. The Photo TP-5 (MW 281 Da) and Photo TP-6 (MW 267 Da) were rationalized to be formed from Photo TP-4 and Photo TP-2, respectively, both by a decarboxylation reaction of the aliphatic chain.
From plotting the time profiles of the identified Photo TPs (Figure 3), it is evident that Photo TP-1, TP-2, TP-3, TP-4, TP-5, and TP-6 are formed only during the photocatalytic treatment in the presence of HApTi, with an intensity that significantly increased during the first hours of treatment (Figure 3a–f).
The loss of one chlorine atom from Photo TP-1 and the subsequent cyclization reaction, forming a five-membered ring with nitrogen, generated Photo TP-7. The time profiles show that TP-7 formation increases with the time of photocatalytic treatment, as does Photo TP-9, which forms from Photo TP-6 by a loss of one chlorine atom (Figure 3g,i). Photo TP-8 is formed both during photolysis and photocatalysis, but only the latter treatment was able to quickly remove it (Figure 3h).
As for Photo TP-10, the isotopic pattern of which indicates the presence of only one chlorine atom, a chlorocarbazole acetic acid structure was proposed. Considering the mass decrease of 44 Da between Photo TP-10 and Photo TP-11 and the predicted formula, Photo TP-11 corresponds to the loss of the carboxylic acid group. Photo TP-12 revealed a mass decrease of 18 Da with respect to Photo TP10; the absence of the typical isotopic pattern of chlorine and the assigned formula for the detected compound could be attributed to the replacement of the chloride atom with the OH group.
The time profiles of these products (Figure 3j–l) reveal no significant difference between photolysis and photocatalysis. In both treatments, the detected TPs achieve the maximum of formation after 4 h of treatment with a subsequent decay. Although the removal is not complete at the end of the treatments, it was slightly faster in the presence of HApTi.
Two more products of MW 255 and 197 Da were observed and the molecular ion isotopic cluster indicated that no chlorine atom was present in both of these products, Photo TP-13, and Photo TP-14, respectively. The photolytic treatment generates Photo TP-13 with higher intensity with respect to photocatalytic treatment, with a subsequently slower removal of the compound over time (Figure 3m), whereas a complete removal for Photo TP-14 at the end of both treatments was observed.
The time profiles of the identified Photo TPs (Figure 3) show the average values of the peak area measured during three subsequent cycles of both photolytic and photocatalytic treatments for DCF removal. In each cycle of photocatalysis, the HApTi catalyst was removed from the aqueous solution by means of a centrifugation step at the end of the treatment and then reused for a new subsequent batch of photocatalytic treatment. The results confirm the general trend of identified Photo TPs, for which some transformation products tend to accumulate in the water matrix and some others are transiently formed with a tendency to disappear. Moreover, the results showed that the photocatalytic activity of HApTi catalyst is approximately the same in different subsequent cycles of treatment.

3.2. DCF Degradation: Photolysis versus Photocatalysis with HApTi

Based on the 14 identified Photo TPs, a pathway of DCF degradation in the presence of HApTi was proposed (Figure 2). The principal degradation mechanisms were explained by hydroxylation, oxidation, and decarboxylation reactions. Among these products, six Photo TPs were also identified during photolytic treatment (Figure 3 h, j–n) in the presence of only UV light. Moreover, 22 additional molecular ions (Table 2) showing significant abundance only in the LC-MS chromatograms of photolysis samples by comparing the initial and the last sample (time zero with respect to reaction time 24 h) were detected between 13.3 and 13.6 min (Figure 4) by nontarget screening in positive mode ionization.
An accurate processing of the 20 detected molecular ions by AB-Sciex software allowed us to define for each one a consistent elemental composition based on the exact mass and isotopic pattern. The obtained elemental compositions seem to be mainly nitrogen-containing compounds, but since not enough data are available in the literature about these products, further investigation would be needed in order to identify a relative molecular structure.
These 20 TPs were detected only in samples collected during photolytic treatment; indeed, no evidence of such TPs was found in samples subjected to photocatalytic treatment in the presence of HApTi. This clearly indicates that the photodegradation mechanisms are significantly different when the HAp-based photocatalyst is employed.
It is known that different reactive oxygen species (ROS) are formed with a photocatalyst under light irradiation [30], including •OH, O2−, and h+. Depending on the nature of the catalyst and the experimental conditions, some ROS will prevail over others and will determine the photodegradation mechanism [48]. This affects the nature of the TPs formed during degradation. Regarding the HApTi photocatalyst, some studies report •OH as the main species [49,50]. The present investigation seems to confirm these data, as the identified TPs PhotoTP-1 and TP-2 both have an OH group added to the parent compound. Neither of these products was detected in photolysis experiments (see Figure 3a,b); this confirms a different mechanism that does not involve such ROS.
The TPs identified for the experiment without the catalyst (Figure 3) seem to indicate that UV irradiation induces the breaking of some chemical bonds (i.e., C–Cl) and the formation of some others (i.e., N–H) in the DCF molecule. The identification of the TPs listed in Table 2 could give some further clarifications. This study will be performed in the future as a separate investigation; no further details were added here since the main aim of the present work was to assess the performance of the HApTi photocatalyst in terms of TP toxicity.

3.3. Evaluation of Toxicity of the Treated Water

Figure 5 shows the evolution of the acute toxicity on D. magna during photodegradation experiments. DCF solutions (5 mg/L) at the beginning of the experiments exhibit high toxicity on D. magna (100% inhibition). It can be seen that the toxicity of the water samples obtained from the photolysis experiment (i.e., no catalyst, Figure 5a) did not vary significantly and remained very high after 24 h of UV irradiation; similar results were observed for a 48-h exposition. When the photocatalyst was employed (Figure 5b), however, the toxicity drastically decreased after 4 h (15% inhibition) and completely disappeared at the end of the experiment (24 h).
These results indicate that, despite DCF mineralization not being complete, a significant reduction of water toxicity was achieved; this makes photodegradation with the HApTi catalyst a very suitable method for water decontamination.
As opposed to what happened in the test with D. magna, in the Toxi-ChromoTest, the original DCF solution did not present any toxicity to the mutant bacteria, which was able to produce the β-galactosidase enzyme and convert the chromogenic substrate at levels similar to negative control (Figure 6). In the photolysis experiment, the toxicity factor increased till 6 h, reaching a maximum of 11% inhibition; it successively decreased. In the presence of the catalyst, the toxicity increased faster, reaching its maximum at 4 h (6.8%) but then decreased, with the final toxicity being lower than that observed in the experiment in the absence of the catalyst. Since the original solution of DCF did not show toxicity, it can be concluded that the toxicity observed in this test for the samples from the photodegradation experiments is exclusively due to the toxicity of the products formed. The difference in toxicity between the two experiments can be related to the different rates at which the TPs are formed and then degraded; such a rate is faster when the HApTi photocatalyst is employed.
The toxicity trend of L. sativa and S. lycopersicum exposed to DCF during photodegradation sample (no catalyst) is reported in Figure 7; data for the experiments with the catalyst are not shown since no inhibition at all was observed for the whole photocatalysis process for both seeds. For L. sativa (Figure 7a), there was no inhibition of germination for the whole 24-h period of the photolysis experiment. Considering the growth of the germinated seeds, however, a small inhibition of the root growth was observed for the initial DCF sample (0 h). This low toxicity is in agreement with results previously reported for the phytotoxicity of this pharmaceutical on L. sativa [1]. The inhibition on root growth increased at 4 h of photolysis; for this time, an inhibition of shoot growth was also registered. The root growth inhibition was lower at 6 and 24 h; however, values still higher than those of the original DCF sample were seen. This is in agreement with literature, since increased phytotoxicity of DCF photolysis transformation products in relation to parent compound was also observed after exposure to sunlight [2]. Moreover, some inhibition was also observed for the shoot growth, which was not registered for the original DCF.
In the case of S. lycopersicum, an inhibition of all the analysed parameters was seen with the exposure to the initial DCF sample; also, the inhibition of germination increased during photolysis. This indicates that exposure to DCF intermediates produced in the absence of photocatalyst was more inhibitory for seed development than the initial DCF solution.
These data show that for both seeds, the intermediates produced by photolysis, i.e., with no photocatalyst, are more toxic than the parent DCF compound; for the photocatalytic experiments, on the other hand, no toxic effects were observed. These data show that photocatalysis using the HApTi catalyst is a more effective way to degrade DCF without generating toxic compounds. Faster DCF removal and faster metabolite transformation may also play a role.

4. Conclusions

The present investigation demonstrated the effectiveness of the novel multiphasic hydroxyapatite–TiO2 material for the photocatalytic treatment of diclofenac. Specifically, the novel material gave rise to same transformation products of the photolytic treatment, but the abundance of most of them was minimized at shorter reaction times. It is worth noting that the novel employed catalyst has a size mesh much greater than a conventional TiO2 catalyst and, consequently, its removal at the end of the water treatment process is much easier.
As for the toxicity investigation, it was observed that reduced toxicity of the samples resulted from the photocatalytic experiment in comparison with photolysis and in relation to the original DCF sample. Indeed, the hydroxyapatite–TiO2 material was effective at detoxifying the samples containing DCF and DCF transformation products. It led to a significant decrease in the toxicity of the water samples despite DCF mineralization not being complete. Therefore, such a catalyst represents an interesting and eco-safe technology for DCF degradation.

Author Contributions

C.P. and I.S.M. conceived and designed the experiments; C.P. prepared the photocatalytic material; I.S.M. performed the photodegradation and toxicity experiments; S.M. performed the LC-MS analyses and identification of transformation products. S.M. and I.S.M. wrote the paper. G.M. and P.M.L.C. finalized the paper. G.V. analysed the data; C.C. contributed to finalizing the paper; all authors have read, commented and approved the final manuscript.

Funding

This work was supported by FCT through the project MultiBiorefinery SAICTPAC/0040/2015 (POCI-01-0145-FEDER-016403). The work was performed within the Bilateral Agreement CNR/FCT—Biennial Programme 2015–2016. The work was also partially supported by the project FONTANAPULIA (Fotocatalizzatori NanosTrutturati e RAdiazioNe UV per un’Acqua più PULItA) funded by the EU, Italy, and the Puglia Region through the INNONETWORK call.

Acknowledgments

Irina S. Moreira wishes to acknowledge the research grant from Fundação para a Ciência e Tecnologia (FCT), Portugal (Ref. SFRH/BPD/87251/2012) and Fundo Social Europeu (Programa Operacional Potencial Humano (POPH), Quadro de Referência Estratégico Nacional (QREN)). C.P. would like to thank “Fondazione con il Sud” for financial support (project HapECork, PDr_2015-0243). We would also like to thank the scientific collaboration of CBQF under the FCT project UID/Multi/50016/2013.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tran, N.H.; Reinhard, M.; Gin, K.Y.-H. Occurrence and fate of emerging contaminants in municipal wastewater treatment plants from different geographical regions-a review. Water Res. 2018, 133, 182–207. [Google Scholar] [CrossRef] [PubMed]
  2. Gogoi, A.; Mazumder, P.; Tyagi, V.K.; Tushara Chaminda, G.G.; An, A.K.; Kumar, M. Occurrence and fate of emerging contaminants in water environment: A review. Ground. Sustain. Dev. 2018, 6, 169–180. [Google Scholar] [CrossRef]
  3. Peake, B.M.; Braund, R.; Tong, A.; Tremblay, L.A. Degradation of pharmaceuticals in wastewater. In The Life-Cycle of Pharmaceuticals in the Environment; Elsevier: New York, NY, USA, 2016. [Google Scholar]
  4. Fatta-Kassinos, D.; Vasquez, M.I.; Kümmerer, K. Transformation products of pharmaceuticals in surface waters and wastewater formed during photolysis and advanced oxidation processes—Degradation, elucidation of byproducts and assessment of their biological potency. Chemosphere 2011, 85, 693–709. [Google Scholar] [CrossRef] [PubMed]
  5. Chen, W.-L.; Cheng, J.-Y.; Lin, X.-Q. Systematic screening and identification of the chlorinated transformation products of aromatic pharmaceuticals and personal care products using high-resolution mass spectrometry. Sci. Total Environ. 2018, 637–638, 253–263. [Google Scholar] [CrossRef] [PubMed]
  6. Bletsou, A.A.; Jeon, J.; Hollender, J.; Archontaki, E.; Thomaidis, N.S. Targeted and non-targeted liquid chromatography-mass spectrometric workflows for identification of transformation products of emerging pollutants in the aquatic environment. TrAC Trends Analy. Chem. 2015, 66, 32–44. [Google Scholar] [CrossRef] [Green Version]
  7. Liu, Y.; Wang, L.; Pan, B.; Wang, C.; Bao, S.; Nie, X. Toxic effects of diclofenac on life history parameters and the expression of detoxification-related genes in Daphnia magna. Aquat. Toxicol. 2017, 183, 104–113. [Google Scholar] [CrossRef] [PubMed]
  8. Välitalo, P.; Massei, R.; Heiskanen, I.; Behnisch, P.; Brack, W.; Tindall, A.J.; Du Pasquier, D.; Küster, E.; Mikola, A.; Schulze, T.; et al. Effect-based assessment of toxicity removal during wastewater treatment. Water Res. 2017, 126, 153–163. [Google Scholar] [CrossRef] [PubMed]
  9. Van den Brandhof, E.-J.; Montforts, M. Fish embryo toxicity of carbamazepine, diclofenac and metoprolol. Ecotoxicol. Environ. Saf. 2010, 73, 1862–1866. [Google Scholar] [CrossRef] [PubMed]
  10. Schröder, P.; Helmreich, B.; Škrbić, B.; Carballa, M.; Papa, M.; Pastore, C.; Emre, Z.; Oehmen, A.; Langenhoff, A.; Molinos, M.; et al. Status of hormones and painkillers in wastewater effluents across several European states—Considerations for the EU watch list concerning estradiols and diclofenac. Environ. Sci. Pollut. Res. 2016, 23, 12835–12866. [Google Scholar] [CrossRef] [PubMed]
  11. Hug, C.; Ulrich, N.; Schulze, T.; Brack, W.; Krauss, M. Identification of novel micropollutants in wastewater by a combination of suspect and nontarget screening. Environ. Pollut. 2014, 184, 25–32. [Google Scholar] [CrossRef] [PubMed]
  12. Wilkinson, J.; Hooda, P.S.; Barker, J.; Barton, S.; Swinden, J. Occurrence, fate and transformation of emerging contaminants in water: An overarching review of the field. Environ. Pollut. 2017, 231, 954–970. [Google Scholar] [CrossRef] [PubMed]
  13. Bouju, H.; Nastold, P.; Beck, B.; Hollender, J.; Corvini, P.F.X.; Wintgens, T. Elucidation of biotransformation of diclofenac and 4′hydroxydiclofenac during biological wastewater treatment. J. Hazard. Mater. 2016, 301, 443–452. [Google Scholar] [CrossRef] [PubMed]
  14. Vieno, N.; Sillanpää, M. Fate of diclofenac in municipal wastewater treatment plant—A review. Environ. Int. 2014, 69, 28–39. [Google Scholar] [CrossRef] [PubMed]
  15. Salgado, R.; Pereira, V.J.; Carvalho, G.; Soeiro, R.; Gaffney, V.; Almeida, C.; Cardoso, V.V.; Ferreira, E.; Benoliel, M.J.; Ternes, T.A.; et al. Photodegradation kinetics and transformation products of ketoprofen, diclofenac and atenolol in pure water and treated wastewater. J. Hazard. Mater. 2013, 244–245, 516–527. [Google Scholar] [CrossRef] [PubMed]
  16. Acuña, V.; Ginebreda, A.; Mor, J.R.; Petrovic, M.; Sabater, S.; Sumpter, J.; Barceló, D. Balancing the health benefits and environmental risks of pharmaceuticals: Diclofenac as an example. Environ. Int. 2015, 85, 327–333. [Google Scholar] [CrossRef] [PubMed]
  17. Zhang, Y.; Geißen, S.-U.; Gal, C. Carbamazepine and diclofenac: Removal in wastewater treatment plants and occurrence in water bodies. Chemosphere 2008, 73, 1151–1161. [Google Scholar] [CrossRef] [PubMed]
  18. Lonappan, L.; Brar, S.K.; Das, R.K.; Verma, M.; Surampalli, R.Y. Diclofenac and its transformation products: Environmental occurrence and toxicity—A review. Environ. Int. 2016, 96, 127–138. [Google Scholar] [CrossRef] [PubMed]
  19. Del Moro, G.; Mancini, A.; Mascolo, G.; Di Iaconi, C. Comparison of UV/H2O2 based AOP as an end treatment or integrated with biological degradation for treating landfill leachates. Chem. Eng. J. 2013, 218, 133–137. [Google Scholar] [CrossRef]
  20. Pagano, M.; Lopez, A.; Volpe, A.; Mascolo, G.; Ciannarella, R. Oxidation of nonionic surfactants by Fenton and H2O2/UV processes. Environ. Technol. 2008, 29, 423–433. [Google Scholar] [CrossRef] [PubMed]
  21. Kanakaraju, D.; Glass, B.D.; Oelgemöller, M. Advanced oxidation process-mediated removal of pharmaceuticals from water: A review. J. Environ. Manag. 2018, 219, 189–207. [Google Scholar] [CrossRef] [PubMed]
  22. Miklos, D.B.; Remy, C.; Jekel, M.; Linden, K.G.; Drewes, J.E.; Hübner, U. Evaluation of advanced oxidation processes for water and wastewater treatment—A critical review. Water Res. 2018, 139, 118–131. [Google Scholar] [CrossRef] [PubMed]
  23. Dewil, R.; Mantzavinos, D.; Poulios, I.; Rodrigo, M.A. New perspectives for Advanced Oxidation Processes. J. Environ. Manag. 2017, 195, 93–99. [Google Scholar] [CrossRef] [PubMed]
  24. Shaham-Waldmann, N.; Paz, Y. Away from TiO2: A critical minireview on the developing of new photocatalysts for degradation of contaminants in water. Mater. Sci. Semicond. Process. 2016, 42, 72–80. [Google Scholar] [CrossRef]
  25. 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]
  26. Gar Alalm, M.; Tawfik, A.; Ookawara, S. Enhancement of photocatalytic activity of TiO2 by immobilization on activated carbon for degradation of pharmaceuticals. J. Environ. Chem. Eng. 2016, 4, 1929–1937. [Google Scholar] [CrossRef]
  27. Murgolo, S.; Yargeau, V.; Gerbasi, R.; Visentin, F.; El Habra, N.; Ricco, G.; Lacchetti, I.; Carere, M.; Curri, M.L.; Mascolo, G. A new supported TiO2 film deposited on stainless steel for the photocatalytic degradation of contaminants of emerging concern. Chem. Eng. J. 2017, 318, 103–111. [Google Scholar] [CrossRef]
  28. Murgolo, S.; Petronella, F.; Ciannarella, R.; Comparelli, R.; Agostiano, A.; Curri, M.L.; Mascolo, G. UV and solar-based photocatalytic degradation of organic pollutants by nano-sized TiO2 grown on carbon nanotubes. Catal. Today 2015, 240, 114–124. [Google Scholar] [CrossRef]
  29. Comparelli, R.; Cozzoli, P.D.; Curri, M.L.; Agostiano, A.; Mascolo, G.; Lovecchio, G. Photocatalytic degradation of methyl-red by immobilised nanoparticles of TiO2 and ZnO. Water Sci. Technol. 2004, 49, 183–188. [Google Scholar] [CrossRef] [PubMed]
  30. Piccirillo, C.L.; Castro, P.M. Calcium hydroxyapatite-based photocatalysts for environment remediation: Characteristics, performances and future perspectives. J. Environ. Manag. 2017, 193, 79–91. [Google Scholar] [CrossRef] [PubMed]
  31. Piccirillo, C.D.C.W.; Pullar, R.C.; Tobaldi, D.M.; Labrincha, J.A.; Parkin, I.P.; Pintado, M.M.; Castro, P.M.L. Calcium phosphate-based materials of natural origin showing photocatlytic activity. J. Mater. Chem. A 2013, 1, 6452–6461. [Google Scholar] [CrossRef]
  32. Márquez Brazón, E.; Piccirillo, C.; Moreira, I.S.; Castro, P.M.L. Photodegradation of pharmaceutical persistent pollutants using hydroxyapatite-based materials. J. Environ. Manag. 2016, 182, 486–495. [Google Scholar] [CrossRef] [PubMed]
  33. Poirier-Larabie, S.; Segura, P.A.; Gagnon, C. Degradation of the pharmaceuticals diclofenac and sulfamethoxazole and their transformation products under controlled environmental conditions. Sci. Total Environ. 2016, 557–558, 257–267. [Google Scholar] [CrossRef] [PubMed]
  34. Deeb, A.A.; Stephan, S.; Schmitz, O.J.; Schmidt, T.C. Suspect screening of micropollutants and their transformation products in advanced wastewater treatment. Sci. Total Environ. 2017, 601–602, 1247–1253. [Google Scholar] [CrossRef] [PubMed]
  35. Schmidt, S.; Hoffmann, H.; Garbe, L.-A.; Schneider, R.J. Liquid chromatography–tandem mass spectrometry detection of diclofenac and related compounds in water samples. J. Chromatogr. A 2018, 1538, 112–116. [Google Scholar] [CrossRef] [PubMed]
  36. Detomaso, A.; Mascolo, G.; Lopez, A. Characterization of carbofuran photodegradation by-products by liquid chromatography/hybrid quadrupole time-of-flight mass spectrometry. Rapid Commun. Mass Spectrom. 2005, 19, 2193–2202. [Google Scholar] [CrossRef] [PubMed]
  37. Piccirillo, C.; Pinto, R.A.; Tobaldi, D.M.; Pullar, R.C.; Labrincha, J.A.; Pintado, M.M.E.; Castro, P.M.L. Light induced antibacterial activity and photocatalytic properties of Ag/Ag3PO4 -based material of marine origin. J. Photochem. Photobiol. A Chem. 2015, 296, 40–47. [Google Scholar] [CrossRef]
  38. Bessa, V.S.; Moreira, I.S.; Tiritan, M.E.; Castro, P.M.L. Enrichment of bacterial strains for the biodegradation of diclofenac and carbamazepine from activated sludge. Int. Biodeterior. Biodegr. 2017, 120, 135–142. [Google Scholar] [CrossRef]
  39. Ribeiro, A.R.G.V.M.F.; Maia, A.S.; Carvalho, M.F.; Castro, P.M.L.; Tiritan, M.E. Microbial degradation of pharmaceuticals followed by a simple HPLC-DAD method. J. Environ. Sci. Health 2012, 47, 2151–2158. [Google Scholar] [CrossRef] [PubMed]
  40. Loos, M. enviMass version 3.5 LC-HRMS trend detection workflow—R package. Zenodo 2018. [Google Scholar] [CrossRef]
  41. OECD. Daphnia acute Immobilisation Test and Reproduction Test. OECD Guidel. Test. Chem. 1984, 202, 1–16. [Google Scholar]
  42. ISO. Water Quality: Determination of the Inhibition Mobility of Daphnia Magna STRAUS (Cladocera, Crustacea)—Acute Toxicity Test; ISO: Geneva, Switzerland, 2013. [Google Scholar]
  43. OECD Guidelines for the Testing of Chemicals 2006. In Test No. 208: Terrestrial Plant Test: Seedling Emergence and Seedling Growth Test; Organisation for Economic Co-Operation and Development: Paris, France, 2006.
  44. Moreira, I.S.; Bessa, V.S.; Murgolo, S.; Piccirillo, C.; Mascolo, G.; Castro, P.M.L. Biodegradation of Diclofenac by the bacterial strain Labrys portucalensis F11. Ecotoxicol. Environ. Saf. 2018, 152, 104–113. [Google Scholar] [CrossRef] [PubMed]
  45. Martínez, C.; Canle, L.M.; Fernández, M.I.; Santaballa, J.A.; Faria, J. Aqueous degradation of diclofenac by heterogeneous photocatalysis using nanostructured materials. Appl. Catal. B Environ. 2011, 107, 110–118. [Google Scholar] [CrossRef]
  46. Agüera, A.P.E.L.A.; Ferrer, I.; Thurman, E.M.; Malato, S.; Fernàndez-Alba, A.R. Application of time-of-flight mass spectrometry to the analysis of phototransformation products of diclofenac in water under natural sunlight. J. Mass Spectrom. 2005, 40, 908–915. [Google Scholar] [CrossRef] [PubMed]
  47. Calza, P.; Sakkas, V.A.; Medana, C.; Baiocchi, C.; Dimou, A.; Pelizzetti, E.; Albanis, T. Photocatalytic degradation study of diclofenac over aqueous TiO2 suspensions. Appl. Catal. B Environ. 2006, 67, 197–205. [Google Scholar] [CrossRef]
  48. Abdelhameed, R.M.; Tobaldi, D.M.; Karmaoui, M. Engineering highly effective and stable nanocomposite photocatalyst based on NH2-MIL-125 encirclement with Ag3PO4 nanoparticles. J. Photochem. Photobiol. A Chem. 2018, 351, 50–58. [Google Scholar] [CrossRef]
  49. Singh, N.; Chakraborty, R.; Gupta, R.K. Mutton bone derived hydroxyapatite supported TiO2 nanoparticles for sustainable photocatalytic applications. J. Environ. Chem. Eng. 2018, 6, 459–467. [Google Scholar] [CrossRef]
  50. Mohamed, R.M.; Baeissa, E.S. Preparation and characterisation of Pd–TiO2–hydroxyapatite nanoparticles for the photocatalytic degradation of cyanide under visible light. Appl. Catal. A Gen. 2013, 464–465, 218–224. [Google Scholar] [CrossRef]
Materials 11 01779 g001 550
Figure 1. Diclofenac (DCF) photodegradation over time by UV photolysis (no photocatalyst) and UV photocatalysis employing hydroxyapatite and TiO2 (HApTi) catalyst in solution (DCF concentration 5 ppm; HApTi catalyst concentration 4 g/L). Error bars refer to standard deviation of duplicate samples.
Figure 1. Diclofenac (DCF) photodegradation over time by UV photolysis (no photocatalyst) and UV photocatalysis employing hydroxyapatite and TiO2 (HApTi) catalyst in solution (DCF concentration 5 ppm; HApTi catalyst concentration 4 g/L). Error bars refer to standard deviation of duplicate samples.
Materials 11 01779 g001
Materials 11 01779 g002 550
Figure 2. DCF degradation pathway proposed for the Photo TPs identified during treatment with HApTi.
Figure 2. DCF degradation pathway proposed for the Photo TPs identified during treatment with HApTi.
Materials 11 01779 g002
Materials 11 01779 g003a 550Materials 11 01779 g003b 550
Figure 3. Time profiles of detected Photo TPs during investigated treatments, namely, photolysis (only UV light) and photocatalysis (UV light in the presence of HApTi). Error bars refer to standard deviation of triplicate samples.
Figure 3. Time profiles of detected Photo TPs during investigated treatments, namely, photolysis (only UV light) and photocatalysis (UV light in the presence of HApTi). Error bars refer to standard deviation of triplicate samples.
Materials 11 01779 g003aMaterials 11 01779 g003b
Materials 11 01779 g004 550
Figure 4. Total ion chromatogram acquired for both (a) photolysis and (b) photocatalysis in the presence of HApTi comparing time zero with respect to time 24 h.
Figure 4. Total ion chromatogram acquired for both (a) photolysis and (b) photocatalysis in the presence of HApTi comparing time zero with respect to time 24 h.
Materials 11 01779 g004
Materials 11 01779 g005a 550Materials 11 01779 g005b 550
Figure 5. Acute toxicity on Daphnia magna during photodegradation of DCF using (a) UV light and (b) UV light + HApTi. Bars in dark grey refer to 24-h immobilization, while those in pale grey to 48-h immobilization (values to be read on the left axis). Error bars refer to standard deviation of quadruplicate measurements of combined duplicate samples. DCF concentration is reported on the right axis and error bars refer to standard deviation of duplicate samples.
Figure 5. Acute toxicity on Daphnia magna during photodegradation of DCF using (a) UV light and (b) UV light + HApTi. Bars in dark grey refer to 24-h immobilization, while those in pale grey to 48-h immobilization (values to be read on the left axis). Error bars refer to standard deviation of quadruplicate measurements of combined duplicate samples. DCF concentration is reported on the right axis and error bars refer to standard deviation of duplicate samples.
Materials 11 01779 g005aMaterials 11 01779 g005b
Materials 11 01779 g006 550
Figure 6. Acute toxicity on mutant bacteria using the Toxi-ChromoTest kit. Red and white bars refer to photolysis and photocatalysis experiments, respectively; the values should be read on the left axis. DCF concentration is reported for both experiments on the right axis—red and black curves respectively. Error bars refer to standard deviation of quadruplicate measurements of combined duplicate samples.
Figure 6. Acute toxicity on mutant bacteria using the Toxi-ChromoTest kit. Red and white bars refer to photolysis and photocatalysis experiments, respectively; the values should be read on the left axis. DCF concentration is reported for both experiments on the right axis—red and black curves respectively. Error bars refer to standard deviation of quadruplicate measurements of combined duplicate samples.
Materials 11 01779 g006
Materials 11 01779 g007 550
Figure 7. Acute toxicity on (a) Lactuca sativa and (b) Solanum lycopersicum during photodegradation of DCF using UV light only (i.e., no catalyst). Experiments with the catalyst showed no toxicity at all (data not shown). Error bars refer to standard deviation of quadruplicate measurements of combined duplicate samples.
Figure 7. Acute toxicity on (a) Lactuca sativa and (b) Solanum lycopersicum during photodegradation of DCF using UV light only (i.e., no catalyst). Experiments with the catalyst showed no toxicity at all (data not shown). Error bars refer to standard deviation of quadruplicate measurements of combined duplicate samples.
Materials 11 01779 g007
Table
Table 1. DCF photo-transformation products detected by UPLC/ESI–QTOF–MS IDA.
Table 1. DCF photo-transformation products detected by UPLC/ESI–QTOF–MS IDA.
CompoundsIonization ModeCalculated m/zMeasured m/zppm ErrorProducts MS/MSPredicted FormulaRef.
Photo TP-1ESI (+)278.0579278.0577−0.6168.0794, 196.0755, 232.0508, 260.0470C14H12ClNO3[44]
Photo TP-2ESI (+)312.0189312.0186−1.0166.0643, 194.0612, 230.0357, 265.9974C14H11Cl2NO3[44,47]
Photo TP-3ESI (+)310.0032310.0031−0.4166.0657, 201.0345, 263.9987, 291.9941C14H9Cl2NO3[44,47]
Photo TP-4ESI (−)323.9836323.9835−0.3152.0507, 208.0423, 252.0300, 280.0045C14H9Cl2NO4[15]
Photo TP-5ESI (+)282.0083282.00840.4166.0646, 194.0598, 229.0285, 263.9979C13H9Cl2NO2-
Photo TP-6ESI (−)266.0145266.01470.8127.0543, 166.0662, 184.0961, 206.0185C13H11Cl2NO[44,45]
Photo TP-7ESI (+)276.0422276.0420−0.8166.0650, 194.0597, 202.0424, 230.0360C14H10ClNO3-
Photo TP-8ESI (−)246.0327246.03290.7141.0214, 164.0516, 200.0265, 228.0234C13H10ClNO2-
Photo TP-9ESI (−)230.0378230.0378−0.1143.113, 166.0646, 194.0606, 215.0134C13H10ClNO-
Photo TP-10ESI (+)260.0473260.0468−1.8125.0442, 151.0545, 165.0902, 179.0732C14H10ClNO2[33,45]
Photo TP-11ESI (−)214.0430214.04311.165.9613, 138.0405, 142.9975, 178.0652C13H10ClN[45]
Photo TP-12ESI (−)240.0666240.06670.399.9485, 142.0667, 168.0815, 196.0768C14H11NO3[33,45,46]
Photo TP-13ESI (+)256.0604256.0604−0.195.0885, 127.0543, 182.0595, 210.0552C14H9NO4[15]
Photo TP-14ESI (−)196.0768196.07680.259.0159, 135.0128, 152.0321, 168.0804C13H11NO[45]
Table
Table 2. DCF photo-transformation products detected in positive ionization mode in the 24-h photolysis sample.
Table 2. DCF photo-transformation products detected in positive ionization mode in the 24-h photolysis sample.
CompoundsMeasured m/zRetention Time (min)MS Error (ppm)Predicted FormulaFormula Finder ScoreProfile as Function of Time
Ion-1230.247113.371C14H31NO39.7Increase
Ion-2258.278914.18−1C16H35NO40Increase
Ion-3352.305213.660.2C14H37N7O318.1Increase
Ion-4379.304613.670C21H38N4O243.1Increase
Ion-5383.286713.670.1C17H34N8O273.7Increase
Ion-6396.331613.67−0.8C16H41N7O425.4Increase
Ion-7427.312413.660.4C19H38N8O367.8Increase
Ion-8440.357513.67−0.7C23H45N5O323.2Increase
Ion-9449.325813.66−0.4C23H40N6O326.3Increase
Ion-10459.487513.380.2No formula found0Increase
Ion-11471.338713.65−0.1C21H42N8O433.8Increase
Ion-12484.383913.68-1C25H49N5O425.6Increase
Ion-13493.35213.65−0.6C22H48N6O4S72.9Increase
Ion-14537.377213.640.7C20H48N12O3S40.5Increase
Ion-15559.389913.641C21H46N14O445.3Increase
Ion-16572.435513.68−0.2C26H49N1537.8Increase
Ion-17577.390313.690.5C38H48N4O91.8Increase
Ion-18581.403113.630.7C25H48N12O414.9Increase
Ion-19621.416313.680.3C30H48N14O30.6Increase
Ion-20704.514213.67−0.6No formula found0Increase
Ion-21748.539113.670.1No formula found0Increase
Ion-22792.566813.66−0.4No formula found0Increase

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Murgolo, S.; Moreira, I.S.; Piccirillo, C.; Castro, P.M.L.; Ventrella, G.; Cocozza, C.; Mascolo, G. Photocatalytic Degradation of Diclofenac by Hydroxyapatite–TiO2 Composite Material: Identification of Transformation Products and Assessment of Toxicity. Materials 2018, 11, 1779. https://doi.org/10.3390/ma11091779

AMA Style

Murgolo S, Moreira IS, Piccirillo C, Castro PML, Ventrella G, Cocozza C, Mascolo G. Photocatalytic Degradation of Diclofenac by Hydroxyapatite–TiO2 Composite Material: Identification of Transformation Products and Assessment of Toxicity. Materials. 2018; 11(9):1779. https://doi.org/10.3390/ma11091779

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Murgolo, Sapia, Irina S. Moreira, Clara Piccirillo, Paula M. L. Castro, Gianrocco Ventrella, Claudio Cocozza, and Giuseppe Mascolo. 2018. "Photocatalytic Degradation of Diclofenac by Hydroxyapatite–TiO2 Composite Material: Identification of Transformation Products and Assessment of Toxicity" Materials 11, no. 9: 1779. https://doi.org/10.3390/ma11091779

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