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Development of On-Line Solid-Phase Extraction-Liquid Chromatography Coupled with Tandem Mass Spectrometry Method to Quantify Pharmaceutical, Glucuronide Conjugates and Metabolites in Water
ISSN: 2157-7064
Journal of Chromatography & Separation Techniques

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Development of On-Line Solid-Phase Extraction-Liquid Chromatography Coupled with Tandem Mass Spectrometry Method to Quantify Pharmaceutical, Glucuronide Conjugates and Metabolites in Water

Lea B1, Nicolas C1*, Dominique W1 and Guy R2

1Ecole National de Chimie de Rennes, CNRS, UMR 6226, 11 Allee de Beaulieu, CS 50837, 35708 Rennes Cedex 7, France

2Veolia Eau, Direction Technique Region Ouest, 8 allee Rodolphe Bopierre, 35020 Rennes Cedex 9, France

*Corresponding Author:
Nicolas Cimetiere
Ecole National de Chimie de Rennes, CNRS, UMR 6226, 11 Allee de Beaulieu
CS 50837, 35708 Rennes Cedex 7, France
Tel: +33223238014
E-mail: [email protected]

Received date: September 05, 2016; Accepted date: September 14, 2016; Published date: September 20, 2016

Citation: Lea B, Nicolas C, Dominique W, Guy R (2016) Development of On- Line Solid-Phase Extraction-Liquid Chromatography Coupled with Tandem Mass Spectrometry Method to Quantify Pharmaceutical, Glucuronide Conjugates and Metabolites in Water. J Chromatogr Sep Tech 7:337. doi: 10.4172/2157- 7064.1000337

Copyright: © 2016 Lea B, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

The present work describes the development of an analytical method, based on automated on-line solid phase extraction followed by ultra high-performance liquid chromatography coupled with tandem mass spectrometry (SPELC- MS/ MS) for the quantification of 37 pharmaceutical residues, covering various therapeutic classes, and some of their main metabolites, in surface and drinking water. A special attention was given to some glucuronide conjuguates and metabolites of active subtances. Multiple Reaction Monitoring (MRM) was chosen and two transitions per compound are monitored (quantification and confirmation transitions). Quantification is performed by standard addition approach to correct matrix effect. The method provides limit of quantification inferior to 20 ng.L-1 for all compounds. The methodology was successfully applied to the analysis of surface water and drinking water of 8 drinking water treatment plant in west of France. The highest drug concentrations in surface water and drinking water were reported for ketoprofen, hydroxyibuprofen, acetaminophen, caffeine and danofloxacin.

Keywords

Pharmaceuticals; Automated on-line solid phase extraction; Liquid chromatography; Tandem mass spectrometry; Water analysis

Introduction

Pharmaceuticals are an important group of emerging contaminants in the environment [1]. In recent years many reports have been made on the occurrence of the large, differentiated group of pharmaceuticals in wastewater, surface water, ground water and drinking water in many countries [2-9]. After administration, most pharmaceuticals are not completely metabolized. The unmetabolized parent pharmaceutical and some metabolites are subsequently excreted from the body via urine and faeces [10]. Reports have shown that many pharmaceuticals do not totally degrade during conventional wastewater treatment [11,12]. The concentrations of individual compounds in wastewater, surface water, ground water and drinking water are typically in the range of ng/L to μg/L. The effect on long-term pharmaceutical residues in aquatic environments remains largely unknown. In addition, the risks to the environment are evaluated for a particular drug, while we find a mixture of all these compounds in aquatic environments. Studies have shown that combinations of drugs may be more powerful than the simple addition of two drugs individually toxic effects [13,14].

Wastewater effluent is a major source for the input of pharmaceuticals to the environment [11,12], which can then migrate through water systems and into source water intended for drinking water supplies. Advanced wastewater treatment processes have been shown to significantly reduce the concentrations of emerging contaminants. However, some compounds are not completely removed even if treatment techniques are used [15]. Moreover, most of the WWTP do not include these specifically designed treatment units.

In this context, sensitive analytical methods allowing the quantification of many pollutants at trace concentration is essential. Solid Phase Extraction (SPE) is the most commonly used technique to prepare sample before analysis. SPE allows the concomitance of analyte concentration and interferences removal [16,17]. To date, most of the published multi-residue methods for the determination of ultra traces of pharmaceuticals compounds in surface and drinking water use off-line SPE followed by gas chromatography mass spectrometry (GC–MS) or by liquid chromatography-tandem mass spectrometry (LC–MS/MS) [2-5,7,9,12]. However, On-line Solid Phase Extraction is an emerging method for analysis of the trace compounds of organic micropollutants (reactive drugs, pesticides). This technique has many advantages: saving time, automated method, reproducibility, very low solvent consumption, small sample handling, SPE cartridges reuse [17]. The cartridges used to concentrate pharmaceuticals residues are usually OasisTM HLB or hydrophobic resins. [18,19]. This technique is generally coupled to liquid chromatography with UV, MS or MS/MS detector with reversed phase column [20-24].

The objectives of this work has been to develop a fully automated method to analyze a number of target compounds belonging to different therapeutical classes and some by product using on-line SPE directly coupled to liquid chromatography tandem mass spectrometry (LC– MS/MS). This analytical technique limits matrix effect impact. However remaining, interfering species can affect the analytical train, especially natural organic matter may coeluate with targeted compounds which leads to a signal disturbance causing over/underestimation or false positive results, or some compounds may react with targeted molecules during sampling and storage [25].

This method was evaluated in different water matrices: UltraPure Water (UPW) to develop the analytical method, surface water and drinking water for validation.

Materials and Methods

Compound selection

32 pharmaceuticals and 3 metabolites and 2 glucuronide conjugates were selected for this study (Table 1 and S1). These molecules were chosen based on the following criteria: (i) selected compounds should exhibit a variety of physical properties, such as functional groups and polarity, (ii) they should represent of a diversity of pharmaceutical classes, (iii) high frequencies of environmental occurrence, (iv) low removal efficiencies by drinking water and wastewater treatment techniques in France or others countries [2-9]. Table 1 lists the 37 molecules selected for our study and their optimized parameters for quantification, chemical structure is provided in the Figure S1 in Supporting Information. Thereafter, the molecules will be called by the short identifiers which are given in the Table 1. The pharmaceutical classes represented are cardiovascular drugs, anticancer agents, human or veterinary antibiotics, neuroleptics, non-steroidal anti-inflammatory drugs and hormones.

Pharmaceutical standards and reagents

All pharmaceutical compounds have minimum 90% purity, used as received in solid form and were obtained from Sigma Aldrich (France). Ultra-pure water (UPW) was delivered by a Elga Pure Lab System (resistivity 18.2 MΩ.cm, COT <50 μg C/L). Chromatographic and SPE solvents, acetonitrile (ACN) with or without 0.1% formic acid (FA) and methanol (MeOH) were purchased from JT Baker (LC-MS grade) and were used in association with UPW in also or not with 0.1% formic acid.

All concentrated stock solution of individual pharmaceuticals were prepared in methanol with a concentration of 500 mg.L-1 and stored at -20°C. The mixed spiking solutions were prepared in methanol at 500 μg.L-1 and stored at 4°C during 15 days maximum. This mixed spiking solution is daily diluted in water to obtained 500 ng.L-1 before use for standard addition. Concentrations prepared for analytical development and to quantify the target compounds in the different matrices are: 5, 10, 20, 50, 100, 250 and 500 ng.L-1.

On-line solid phase extraction and liquid chromatography

The analytical system consists of an automated SPE sampler coupled with an LC-MS/MS. The online extraction was carried out using a 2777 auto sampler equipped with two parallel OasisTM HLB cartridge (Direct Connect HP 20 μm, 2.1 mm × 30 mm) working sequentially. The switching from the loading flow pattern, to elution, then conditioning and back to loading is performed using two six positions EverflowTM valves. Loading eluent (UPW) and conditioning eluent (methanol) were provided by a quaternary pump (AcquityTM QSM). Elution of the analytes from the SPE cartridge to LC system was achieved by connected the cartridge to the inlet of the separation column and using the initial chromatographic elution solution.

Separation was carried out using a reversed phase column (AcquityTM BEH C18, 100 mm × 2.1 mm ID, 17 μm) placed in an oven (45°C). The elution gradient was produced by a binary pump (AcquityTM BSM) and was optimized and will be described later in the manuscript.

Mass spectrometry

The mass spectrometer (Quattro Premier, MicromassTM) operates with the following conditions: cone gas (N2,50 L.h-1,120°C), desolvation gas (N2,750 L.h-1, 350°C), collision gas (Ar,0.1 mL.min-1), capillary voltage (3000 V). The ionization source of the mass spectrometer is an electrospray (ESI) used either in the positive or the negative mode according to pharmaceutical compounds structure (Table 1). All the analysis, are made in "multiple reaction monitoring" (MRM) mode, the parent ion from the ESI source is selected in the first quadrupole (pseudo molecular ion in most cases) and fragmented in the collision cell. One or more fragments (quantification ion and, when available, confirmation ions) are then selected by the third quadrupole before being detected by a photomultiplier. This mode allows high sensitivity and selectivity.

Results and Discussion

Mass spectrometry optimization

The selection of optimum detection parameters (collision energy, cone voltage, ionization mode) for each targeted compound was carried out by introducing a standard diluted single solute solution at 5 mg.L-1 directly in the mass spectrometer (without separation). The pseudo-molecular ion [M+H]+ or [M-H]- was selected as the parent ion. Acetaminophen-glucuronide was ionized as sodium adducts [M+Na]+ and the daughter ion correspond to the sodium adduct of paracetamol obtained by the loss of glucuronic acid. Similar fragmentation pattern with loss of carbohydrate group was observed with Glu-OZP [M+H]+ → [M-Glu+H]+. In some cases, the standard molecules were purchased as sodium or chloride salt so molecular weight of the commercial product indicated in the Table 1 does not correspond to the formula of active compounds. So the molecular weights indicated in the Table 1 do not correspond to the mass of the pseudo molecular ion (AML, LOS, NAF, PRA, TRI, DOX, ERY, LINCO and TYL). Positive mode was selected for most of the molecules and 8 analytes were ionized under negative mode because of their tendancy to lose a proton. Two transitions are chosen for quantification and confirmation. If possible transition corresponding to the loss of simple’s fragments (i.e., –H2O or –CO2) has been preferred for quantification or confirmation transition. Only one transition could be found to 4 molecules: Ibuprofen, Gemfibrozil, Tamoxifen and Hydroxy-Tamoxifen. The results are presented in Table 1.

Pharmaceutical class Molecule (short identifier) N°CAS MW (g/mol) Formula of the active substance ESI Parents ion Daughter ion(Q) Cones (V) Collisions (V) Confirmation ion Collisions (V) Dwell time (ms) Tr (min)
Cardiovascular drugs Amlodipin (AML) 111470-99-6 567.05 C20H25ClN2O5 + 409.6 238.1 18 11 409.6 13 50 4.03
Atenolol (ATE) 29122-68-7 266.34 C14H22N2O3 + 267 145 34 26 74 23 50 1.18
Losartan (LOS) 124750-99-8 461 C22H23ClN6O + 423.6 405.2 30 12 207 22 50 4.25
Naftidrofuryl (NAF) 03200-6-4 473.56 C24H33NO3 + 384.6 99.7 40 21 84.7 25 50 4.29
Pravastatin (PRA) 81131-70-6 446.51 C23H36O7 - 423.2 100.6 34 23 321.1 16 50 2.63
Propanolol (PRO) 525-66-6 259.4 C16H21NO2 + 260.2 116 34 18 183 18 50 3.33
Gemfibrozil (GEM) 25812-30-0 250.33 C15H22O3 - 249 121 34 23     50 4.95
Trimetazidin (TRI) 13171-25-0 339.26 C14H24Cl2N2O3 + 267.4 180.9 21 16 165.8 26 50 1.18
Anticancer agent Tamoxifen (TAM) 10540-29-1 371.5 C26H29NO + 372.5 72 45 14     50 5.42
Hydroxytamoxifen (OH-TAM) 68047-06-3 387.2  C26H29NO2 + 388.2 72 45 14     50 4.58
Ifosfamide (IFO) 3778-73-2 261 C7H15Cl2N2O2P + 261.02 153.95 25 22 92.04 25 75 3
Human Antibiotic Doxycycline (DOX) 24390-14-5 512.94 C22H24N2O8 + 445.5 428.2 30 18 153.8 28 50 2.95
Erythromyicin (ERY) 114-07-8 769.96 C37H67NO13 + 734.2 158 28 30 576.2 19 50 3.68
Ofloxacin (OFX) 82419-36-1 361.37 C18H20FN3O4 + 362 318 34 19 261 28 80 1.35
Sulfaméthoxazole (SUL)  723-46-6 253.278 C10H11N 3O3S + 254 92 26 28 156 16 50 2.74
Trimetoprime (TRP)  738-70-5 290.3 C14H18N4O3 + 291.2 230 24 24 261.1 26 50 1.18
Veterinarian Antibiotic Danofloxacin (DANO) 112398-08-0 357.38 C19H20FN3O3 + 358.5 314 35 19 283 25 50 1.53
Lincomycin (LINCO) 859-18-7 461.37 C18H34N2O6S + 407.6 125.9 40 28 359.3 18 50 1.23
Sulfadimerazine (SFZ) 57-68-1 278.33 C11H12N4O2S + 279.4 185.9 29 16 91.7 26 50 1.91
Tylosin (TYL) 74610-55-2 1066.19 C46H77NO17 + 917 174 60 37 773 29 50 3.84
Neuroleptic Carbamazepine (CBZ) 298-46-4 236.27 C15H12N2O + 237.1 194 28 19 179 39 50 3.85
Epoxycarbamazepine (Ep-CBZ)  36507-30-9 252.27 C15H12N2O2 + 253.3 179.9 28 28 236 12 50 3.2
Oxazepam (OZP) 604-75-1 286.71 C15H11ClN2O2 + 287.4 241 34 20 269.1 14 50 4.08
Oxazepam (Glu-OZP) 6801-81-6 462.84 C21H19ClN2O8 + 463.2 287.1 26 15 269 26 15 3.34
Non-steroidal anti-inflammatory drugs (NSAID) Diclofenac (DICLO) 15307-79-6 294.14 C14H11Cl2NO2 + 296.1 250 22 10 214.1 25 100 5.5
Ibuprofen (IBU) 15687-27-1 206.28 C13H18O2 - 205 161 17 7     50 4.06
Hydroxyibuprofen (OH-IBU) 51146-55-5 222.28 C13H18O3 - 221.2 177 19 9 158.7 13 50 1.2
Ketoprofen (KETO) 22071-15-4 254.28 C16H14O3 + 255 209 29 12 105 22 100 4.14
Salicylic acid (SCA) 69-72-7 138.12 C7H6O3 - 137 92.6 30 14 64.7 28 70 1.16
Miscellaneous Acetaminophen (PARA) 103-90-2 151.16 C8H9NO2 + 152 110 25 15 90 10 50 1.24
Acetaminophen Glucuronide (Glu-PARA) 16110-10-4 327.29 C14H17NO8 + 350 173.8 33 15       1.64
Caffeine (CAF) 58-08-2 194.19 C8H10N4O2 + 195.1 137.7 37 18 109.7 22 50 1.35
Hydrochlorothiazide (HCTZ) 58-93-5 297.74 C7H8ClN3O4S2 - 296.2 77.6 42 28 204.8 22 50 1.5
Hormone Ethyinylestradiol (EE) 57-63-6 296.4 C20H24O2 - 295.2 144.9 54 40 183 35 50 4.07
17β-Estradiol (βE) 50-28-2 272.38 C18H24O2 - 271.1 145 50 38 183 41 70 3.89
Estrone (EO) 53-16-7 270.37 C18H22O2 - 269.1 145 53 35 183 36 70 4.14
Progesterone (PGT) 57-83-0 314.46 C21H30O2 + 315.2 97 32 24 109 26 50 5.77

Table 1: List of the 35 pharmaceuticals with pharmaceutical class Molecule (short identifier), N°CAS, MW (g/mol), formula, mass parameter and retention time.

On-line SPE method development

The efficiency of the SPE step was studied using two different types of SPE cartridge phases: Oasis HLB (Direct Connect HP 20 μm, 2.1 mm × 30 mm) and X Bridge C18 (Direct Connect HP 10 μm, 2.1 mm × 30 mm). The low energy interactions are predominant with the C18 phases, unlike for HLB phases where the dipole-dipole interactions are brought into play. Table 2 presents characteristics (log(Kow), pka, coefficient of dissociation, dipolar moment) of molecules. The extraction yield was then calculated according to the following equation:

Molecule Log (Kow) pka Coefficient of dissociation Dipolar moment
AML 3 8.6 5.00 10-5  
ATE 0.16 9.6 1.50 10-5 5.71
LOS 1.19 5,5 8.80 10-3  
NAF 4.56 8.7 4.70 10-5 2.83
PRA 1.35 4.5 5.60 10-3  
PRO 3.48 9.5 1.70 10-5  
GEM 4.77 4.7 4.40 10-3  
TRI 1.04 4.3/8.9 7.00 10-3  
TAM 3.24 8.76 4.20 10-5  
OH-TAM 4.74 3.2/6.4 6.30 10-4  
IFO 0.86 13.2 2.50 10-7  
DOX 2,37 3.5/7.7 1.40 10-4  
ERY 3,02 8.8 3.90 10-5  
OFX 0.65 6.1 9.40 10-4 7.2
SUL 0.79 5.7 1.40 10-3  
TRP 0.91 7.1 2.80 10-4  
DANO 0,44 6.0 9.90 10-4  
LINCO 0,56 7.6 1.60 10-4  
SFZ 0.19 7 3.20 10-4 7.34
TYL 1.63 7.7 1.40 10-4  
CBZ 2,77 7 1.00 10-7 3.66
Ep-CBZ 1.58 15.9 1.00 10-8  
OZP 2,24 1.7/11.6 1.30 10-1  
DICLO 4,51 4 8.00 10-3 4.55
IBU 3,79 4.5 5.30 10-3 4.95
OH-IBU 3,97 4.8 3.90 10-3  
KETO 3.12 4.45 6.00 10-3  
SCA 1,19 3 3.10 10-2  
PARA 0,49 9.5 1.80 10-5 4.55
CAF -0.091 14 2.10 10-1 3.71
HCTZ -0,07 7.9 1.00 10-4  
EE 3,67 10.3 7.00 10-6  
βE 3.57 10.71 4.40 10-6 1.56
EO 3.69 10.4 6.00 10-6 3.45
PGT 4 18.9 3.50 10-10  

Table 2: log (Kow), pka, coefficient of dissociation and dipolar moment of molecules.

Extraction yield (%)=100 × Area SPE mode/Area conventional mode

For each compounds, the area obtained with the injection of 5 mL of solution at 100 ng.L-1 in SPE mode was compared to the area obtain in conventional mode (Vinj=5 μL; C=100 μg.L-1).

The results are presented in Figure 1. In a global overview the extraction yields are better with the Oasis HLB phase in comparison to the C18 phase. 11 molecules have slightly better extraction yields with the XBridge C18 media. Given these results, Oasis HLB phase was chosen for the SPE cartridges. The extraction yields are between 24% and 96%. Six molecules, among them three hormones (ATE, TRI, DOX, EE, βE and EO) have extraction yields inferior or equal to 50% but the signal is sufficient for our analysis given the reproducibility of the extraction step. The loading time and flow rate influence the analyte retention onto the pre concentration cartridge. If the loading time is too short, a part of the molecules of interest will not be collected in the cartridge. MeOH is used for the cartridge conditioning during 3 minutes and UPW for the loading sample during 5.5 minutes at 2 mL/ min. 5 mL of sample are injected onto the cartridge. Elution of our compounds is made using the initial chromatographic conditions. The pre concentration method takes 8.5 minutes. The pH of samples and eluents was also optimized to try to improve the extraction yields. The Figure 2 shows the effect of pH (3,7 and 9) on molecule’s recovery yields. Most of the targeted compounds were efficiently extracted at neutral pH values. The recovery yields of thirteen molecules (LOS, GEM, TAM, OH-TAM, IFO, TYL, DICLO, PARA, CAF, CBZ, OZP, PGT and ERY) do not show significant pH dependence. ATE, NAF and LINCO were comparatively more recovered under neutral condition due to the amine/ammonium repartition for the low pH values. DANO and OFX are amphoteric molecules and exhibit higher recovery yields under acid extraction than under neutral conditions. AML and OFX have extraction yields superior to 100%, the differences may be included within the experimental errors. Three hormones have a better extraction yields at basic pH while below 23% for an acid pH. The SPE appears globally controlled by the carboxylic functions. The best compromise to our analytical method is the neutral pH.

chromatography-separation-techniques-Extraction-yields-calculated

Figure 1: Extraction yields calculated for the two cartridges (Oasis HLB and Xbridge C18) tested for all molecules in neutral pH.

chromatography-separation-techniques-Extraction-yields-calculated-analytes

Figure 2: Extraction yields calculated for the 3 pH (3, 7 and 9) for all analytes.

Chromatographic conditions

Three chromatographic columns packed with different stationary phases were studied, two using the reversed phase mode: Acquity BEH C18 (100 mm × 2.1 mm ID, 1.7 μm) and Acquity HSST3 (100 mm × 2.1 mm ID, 1.7 μm). These two columns have the same stationary phase but Acquity HSST3 should allow for better separation of polar molecules due to the greater proportion of residual silanol groups. The third column has a polar stationary phase: BEH amide (100 mm × 2.1 mm ID, 1.7 μm) in order to separate the analyte using hydrophilic interaction liquid chromatography (HILIC). Comparing the chromatograms obtained for the C18 and HSST3 column, the results are quite similar. Seven minutes are required to obtain sufficient separation. It should be underlined that the resolution between two consecutive peaks was quite low. However, because the quantification was done using different MRM channels this poor resolution does not affects the analytical performances.

Figure 3 summarizes the results by plotting the polarity (log Kow) as function of the capacity factor of the molecule, molecules with k’<1 form the un retained groups with no log(kow) dependences. For the others, correlation between k’ and log(kow) shows two adverse behaviors in relation with the differenpharmaceuticalst stationary phase, BEH and HSST3 on the one part and HILIC on the second part. Reversed phase HPLC columns (BEH C18 and HSST3) provide a satisfactory separation with k’ ranging from 0.93 to 9.91 according to the polarity of the considered compounds. However numerous analytes exhibit a high polarity and were poorly retained using reversed-phase HPLC. Normal phase HPLC column (BEH Amide) provides separation with k’ ranging from 0.1 to 9.6. Molecules retained by the reversed phase HPLC column are not retained in normal phase HPLC with k’<1. Moreover, peak tailing are observed for some molecules with HSST3 (SUL, GEM, DOX) and with HILIC column (PARA, DANO, HCTZ, TRI). The best compromise for our analyses is to use the BEH C18 column.

chromatography-separation-techniques-chromatographic-columns

Figure 3: Polarity (log Kow) as function of the capacity factor for all molecules and for 3 chromatographic columns.

The mobile phase flow rate was 0.4 mL.min-1, corresponding to the optimum zone of the Van Deemter curve with this column [26]. The elution conditions were optimized. Two chromatographic separation methods were needed to quantify all the target analytes. Indeed, analytes with ESI+ detection have better sensitivity with acidified eluents (with 0.1% of formic acid) unlike molecules with ESI- detection which have better sensitivity with neutral eluents. Moreover, the combination of both positive and negative ionization mode during the same run does lead to a decrease of the sensibility.

The elution conditions start with 20% ACN/80% UPW during 1 minute followed by a gradient 90% ACN within 6 minutes and remain constant for 1 min before returning to initial conditions, details of the method are presented in Supporting information (Section B – Figures S1-S3)

Examples of chromatograms obtained with a solution of 50 ng.L-1 in UPW and the eluent program are presented in Figure 4. 12 molecules elute within two minutes for the ESI+/acid eluent method. As mentioned above, the detection mode (MRM) allows an accurate quantification even if the resolution is low.

chromatography-separation-techniques-Chromatogram-obtained-method

Figure 4: Chromatogram obtained at 50 ng/L in UPW, a. first method with ESI+; b. Second method with ESI-.

Quantification limit and matrix effect

Standard addition method was selected for calibration method in order to minimize or eliminated matrix effects. Figures 5 present examples of calibration curve for CBZ in UPW, Groundwater (GW), Drinking water (DW) and Surface water (SW). Limit of quantification (LOQ) were determined for all targeted compounds in UPW and GW with the equation given in Figure 5a, in accordance with the AFNOR NF-T-90-210 norm for all analytes. GW could be considered free of pharmaceuticals residues because GW is drawn from a well recovering the waters on a small watershed without collective or on-site sanitation water release, and UPW can be considered as a matrix blank. Negatively ionized molecules (EO, BE, EE, HCTZ, SCA, IBU, OH-IBU, GEM, PRA) have higher limits of quantification because the background noise is more important than for ESI+. The values of the quantification limit of targeted compounds are presented in Figure 6a. LOQ values obtained range from (5 to 17) ng/L. These limits of quantification are sufficient for our purpose.

chromatography-separation-techniques-Equation-LOQ-determanation

Figure 5: Equation of LOQ determanation, b. Exemple of standard addition for CBZ with 90% confidence interval, c and d. Example of standard addition in GW and DW for CBZ.

Measurement errors were incorporated by defining the 90% confidence intervals (Figure 5b). Figures 5c and 5d show standard addition calibration lines of CBZ in GW and DW. Comparisons of the slopes obtained with real waters to the slope obtain in the blank (aGW/aUPW and aDW/aUPW) allow a comprehensive approach of the matrix effects. These slope ratios are presented in Figure 6b for all analytes. The matrix effect is a classical phenomenon which can be very important in liquid chromatography coupled with mass spectrometry because of the ionization process may be drastically influenced by the presence of interfering species. Many studies have already described this phenomenon especially with wastewaters. The presence of organic or inorganic substance can cause inhibition (<1) or enhancement (>1) of a compound’s signal [27-29]. In our case, natural organic matter may disturb the SPE step or mass ionization so the rationalization of the slopes provides a global overview of matrix effect but do not allow to identify the critical step.

chromatography-separation-techniques-Matrix-effects-analytes

Figure 6: a. LOQ in UPW and GW for all molecules, b. Matrix effects of all analytes.

In Figure 6b, matrix effects are not significant when the ratio is close to 1. In drinking water this ratio was close to 1 for most of the analytes, only AML has a ratio superior to 5.

Analysis of surface water and drinking water

The developed method was used to determine the concentration of 37 pharmaceuticals substances in inflow and outflow waters of 8 drinking water treatment plants (DWTP) in west of France. The samples were collected once a month between October 2013 and April 2015, resulting in an average of 100 inflow and 100 outflow concentration values for each molecule. Nine pharmaceuticals have not been detected or with concentrations below the LOQ (AML, TAM, OH-TAM, IFO, ERY, LINCO, EE, βE and PGT). Figure 7 shows the concentrations of 27 pharmaceuticals or metabolites in surface water as a box plot; this statistical representation summarizes the data, for each compound, by the mean values, median value, first and third quartiles and observed extrema. 7 molecules (PARA-GLU, KETO, OH-IBU, DANO, PARA, SCA, CAF) have a mean concentration greater than 50 ng.L-1. 10 molecules were quantified with mean concentrations higher than 10 ng.L-1 (GEM, CBZ, DICLO, OZP, OFX, IBU, HCTZ, ATE, PRO and DOX). The last detected 10 molecules exhibit mean concentration lower than 10 ng. L-1 (SFZ, SUL, TRI, PRA, Ep-CBZ, TRP, EO, NAF, TYL, LOS). For some molecules, large differences between the extrema are observed (PARA-Glu, KETO, OH-IBU, SCA). These differences depend on the sampling date essentially. It should be underlined that median values are close to mean values indicating that extrema values do not play an important role. The maximum observed concentration in surface water was 650 ng.L-1 for KETO. Detection frequencies depend on compounds and range from 100% occurrence for CAF and PARA and 9% for TYL. 13 molecules (PARA-Glu, KETO, OH-IBU, DANO, PARA, CAF, SCA, DICLO, GEM, CBZ, OZP, OFX and ATE) were quantified in more than 50% of surface water samples. In drinking water (Figure 8), six molecules (KETO, PARA-Glu, OH-IBU, DANO, PARA and CAF) were quantified in 90% or more of the drinking water samples. These 6 molecules were also the most quantified molecules in surface water. The overall mean concentration values are between 4 (OZP) and 327 ng/L. The maximum concentration found was 650 ng/L for KETO. For drinking water, the same remark than for surface water may be made concerning the gap between minimum and maximum concentrations: the eight drinking water treatment plants operate different treatment chains with different type of water resources.

chromatography-separation-techniques-Overall-mean-concentrations

Figure 7: Overall mean concentrations (♦), median value, first and third quartiles and extrema of 27 molecules detected on average above LOQ in surface waters and detection frequencies (%, broken line).

chromatography-separation-techniques-concentrations-median-value

Figure 8: Overall mean concentrations (♦), median value, first and third quartiles and extrema for 14 molecules detected in tap waters and detection frequencies (%, broken line).

Conclusion

A multi residue analysis was developed using on-line solid phase extraction connected to liquid chromatography coupled with tandem mass spectrometry in order to quantify residue trace levels 35 pharmaceuticals compounds in surface and drinking water. The short implementation time needed to achieve the pre concentration and the analysis, 17 minutes for the positive mode method and 15 minutes for the negative mode method is among the most significant advantages of this method compared to off-line solid phase extraction. The developed method with a pre concentration factor of one thousand showed detection limits compatible with the study of environmental matrices with very low analyte concentrations. The limits of detection and quantification are between 1.5 and 4 ng/L and 4 and 17 ng /L, respectively. Standard addition was chosen for the quantification of molecules in water samples to overcome the matrix effects and provide an accurate determination of targeted compounds. Among all studied substances, doxicycline appeared to be the most affected by a matrix effect. The developed methods were applied to eight surfaces and drinking water. In surface water, 12 molecules could be quantified in almost all analyzed samples with a maximum concentration value of 650 ng/L for Ketoprofen. In drinking water, 5 molecules could be regularly detected, with overall mean concentration values between 20 a 120 ng/L.

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