Submit manuscript...
Journal of
eISSN: 2473-0831

Analytical & Pharmaceutical Research

Research Article Volume 7 Issue 6

Development and validation of SPE-LC-MS method for simultaneous determination of selected pharmaceuticals in hospital wastewater

Ahmed Mostafa, Heba Shaaban, Khaled Alasmry, Abdulaziz Alshammari, Rashid Alsuwaigh, Omer Aga

Correspondence:

Received: August 25, 2018 | Published: November 5, 2018

Citation: Mostafa A, Shaaban H, Alasmry K, et al. Development and validation of SPE-LC-MS method for simultaneous determination of selected pharmaceuticals in hospital wastewater. J Anal Pharm Res. 2018;7(6):611-615. DOI: 10.15406/japlr.2018.07.00291

Download PDF

Abstract

A fast-green liquid chromatography-mass spectrometry (HPLC-MS) method has been developed and validated for simultaneous determination of nine pharmaceuticals in hospital effluents in Al Khobar city, Kingdom of Saudi Arabia. The separation was performed on a short narrow bore column packed with superficially porous particles and selected ion monitoring (SIM) mode was used. Sample preparation and cleanup was executed using solid phase extraction (SPE) with Oasis hydrophilic-lipophilic balance (HLB) cartridges. The chromatographic parameters were adjusted to separate all the analytes in the shortest possible time. The method was validated according to ICH guidelines. The detection and quantification limits of the studied pharmaceuticals were ranged from 0.1 to 0.5µg L-1, and 0.3 to 1.5µg L-1, respectively. Among the studied analytes, levofloxacin and caffeine were detected at concentrations of 3µg L-1 and 60µg L-1 respectively.

Keywords: wastewater, fast analysis, hospital effluents, liquid chromatography, SPE

Abbreviations

CECs, contaminants of emerging concern; EDTA, ethylene diamine tetra-acetic acid; LN, lincomycin hydrochloride; CF, caffeine; TM, trimethoprim; LV, levofloxacin; NF, norfolxacin; CP, ciprofloxacin; EF, enrofloxacin; SM, sulfamethazine; MT, metoprolol; ESI, electrospray ion source; SIM, selected ion monitoring; SPE, solid phase extraction

Introduction

Pharmaceuticals are considered as one of the major groups of contaminants of emerging concern (CECs). These are the contaminants that were unknown, unrecognized (not detectable) or not routinely monitored.1 The continuous introduction of these contaminants into the environment can compensate their high transformation/removal rates, thus it is not necessary for these contaminants to persist in the environment to pose negative effects.2,3 Due to their potential adverse effects on animals and humans at low levels of exposure they are receiving attention. They may pose toxic effects and alterations on the reproductive system of aquatic organisms4–6 and the promotion of the development of resistant bacterial strains representing a health risk to humans and the environment. The prevalence of pharmaceuticals such as antibiotics, steroids and hormones and their metabolites in the environment has been an area of growing concern.7–12

The limited amount of knowledge regarding the levels of pharmaceutically active pollutants in the environment has precluded a good assessment of the effect of long-term exposures. Pharmaceuticals have been detected in a wide range of environmental samples, including surface water, drinking water, groundwater, sewage influent and effluent.13,14 Hospital wastewater is one of the major sources of pharmaceuticals discharged into the environment.15 In 1997, the U.S. Food and Drug Administration established that an environmental risk assessment should be conducted for new human use drugs if the average predicted environmental concentration of a drug is above 1µg L-1. The EU has set this level at 0.01µg L-1.

There is a lack of information about the prevalence and concentrations of these contaminants in Saudi waters. Limited studies have been conducted on these kinds of contaminants in Saudi Arabia. Qarni et al.16 investigated 12 pharmaceuticals in the influent and effluent of hospital wastewater treatment plants in Riyadh and studied the efficiency of the wastewater treatment process.16 Another study was conducted in the Western region and investigated the occurrence of emerging trace organic chemicals in wastewater effluents in this region.

Different chromatographic methods have been developed for the analysis of pharmaceuticals in the environment using liquid chromatography12,17–20 and gas chromatography.21 To the best of our knowledge no study reported the analysis and detection of pharmaceuticals as emerging contaminants in the Eastern province of Saudi Arabia. In the present study, a solid phase extraction coupled to LC-MS method was developed for the simultaneous determination of nine pharmaceuticals in the wastewater effluent of the King Fahd Hospital of the University, Al Khobar city, Saudi Arabia.

Experimental

Materials and reagents

Ethylene diamine tetra-acetic acid disodium salt (EDTA), HPLC grade acetonitrile, methanol and ethanol were purchased from Sigma, Germany. Deionized water (18.2MΩ) was purified using Pure Lab Ultra water system (ELGA, High Wycombe, UK). All the studied analytes including lincomycin hydrochloride (LN), caffeine (CF), trimethoprim (TM), levofloxacin (LV), norfolxacin (NF), ciprofloxacin (CP), enrofloxacin (EF), sulfamethazine (SM), metoprolol (MT) and 13C3 trimethoprim (internal standard) were purchased from Sigma, Germany. All standards purity was ≥98%. The chemical structures of the studied analytes are shown in Figure 1.

Figure 1 Structures of the studied analytes.

Instrumentation

LC-MS separation was performed using Prominence UFLC system (Shimadzu Corporation, Kyoto, Japan) consisting of SIL20AC autosampler, two LC-20AD pumps, DGU-20A degasing unit, a CTO-20A column oven, SPD-M20A photodiode array detector, CBM-20A HPLC system controller and LCMS 2020 mass spectrometer. The mass analyzer was a single quadruple equipped with an electrospray ion source (ESI).

An Accucore C18 column, 30mm×2.1 inner diameter, 2.6µm particle size (Thermo Scientific, USA) was used for separation. The mobile phase composed of acetonitrile/water (15:85, v/v) at a flow rate of 0.6mL min-1. The injection volume was 2µL. All analytes were eluted within 5 min. For maximum sensitivity selected ion monitoring (SIM) was used for analytes quantification with the ESI in the positive mode. The interface and the heat block temperatures were set at 350 and 200ºC, respectively. The desolvation line temperature was 250ºC. The nebulizing and drying gas flows were 1.5 and 10L min-1, respectively. Ultra-pure nitrogen produced by Air-Tech nitrogen generator was used as the nebulizing and drying gas. The quantification ions of the studied analytes are listed in Table 1.

Analyte

m/z (+)

Retention time (min)

Ciprofloxacin

332.20

3.1

Enrofloxacin

360.15

4.1

Lincomycin

407.15

1.8

Norfloxacin

320.15

2.9

Trimethoprim

291.35

2.5

Caffeine

195.15

2.4

Levofloxacin

362.10

2.8

Metoprolol

268.20

5.1

Sulfamethazine

279.10

4.4

Table 1 m/z and retention times of the studied analytes

Standard solutions and calibration

Stock standard solutions (1000mg L-1) were prepared separately in methanol and stored in dark at –20ºC. Appropriate dilutions of the stock solution in the mobile phase were performed producing the working standard solutions in the range of 10–6000µg L-1. Each standard was injected in triplicate. The calibration curve was obtained by plotting the concentration versus the ratio of the peak area of the analyte to the peak area of the internal standard.

Water sample collection and preparation

Samples of wastewater effluents were collected from King Fahd Hospital of the University, Al Khobar city, Saudi Arabia in amber glass bottles with TeflonTM lined caps and kept in ice box and then transferred to the laboratory to be analyzed. Samples were filtered using cellulose acetate filters (0.45 µm). Two grams of EDTA were added to 500mL of the wastewater sample and rolled on a roller for 20 min for complete dissolution and was extracted within 48 hours of sample collection. 50ng of the internal standard (13C3 trimethoprim) was then added prior to sample extraction.

Solid phase extraction (SPE) was employed for sample clean-up and preconcentration. Oasis HLB cartridges (60mg, 3mL), purchased from Waters Corporation, USA were used. The cartridges were first conditioned with 5mL methanol and then 5mL ultrapure water. 500mL wastewater samples were then extracted through the cartridges at a flow rate of 3mL min-1. After the extraction of the whole sample, the cartridges were rinsed with 10mL ultrapure water then with 5% methanol in water and the cartridges were then dried under vacuum. Finally, elution was performed with 5mL methanol. The extract was then filtered through 0.2µm syringe filters and 1mL aliquot was quantitatively transferred into 1.5mL HPLC vial and evaporated to dryness under a gentle stream of nitrogen. The residue was then reconstituted in 100µL of the mobile phase and the concentrated extract was transferred into a vial insert, capped and submitted for LC-MS analysis.

Results and discussion

Optimization of SPE method

Before separating the studied analytes, samples should be pre-treated to remove the sample matrices and eliminate the interfering components. Moreover, this step is necessary to isolate and enrich the analytes before instrumental determination.

In the proposed method, Oasis HLB cartridges were selected as they provide higher extraction capacity than C18 sorbents and also can be used without pH adjustment which could simplify sample handling.22

Several trials were made to enhance the recovery; the first trial was based on extracting the analytes without adding EDTA, however low recoveries for levofloxacin, norfloxacin, ciprofloxacin and enrofloxacin were observed (ranged from 5.4% to 14.1%). This was mainly attributed to their chemical structures as they can form chelates with metal cations that are soluble in water or glassware,23 therefore EDTA was added to improve their extraction efficiencies. Significant enhancement of the recoveries of the quinolones antibiotics (86–107%) was obtained as shown in Figure 2.

Figure 2 Effect of EDAT addition on the recovery of the studied analytes on Oasis HLB cartridges.

Optimization of the proposed HPLC method

The developed method was designed in a way that all the analytes could be separated in the shortest possible time with minimum solvents consumption. In this context, a short (3cm) narrow bore (2.1mm) column packed with superficially porous particles was selected. These particles could provide fast and efficient separation compared to traditional LC columns.24 The volume fraction of acetonitrile in the mobile phase has the most significant impact on the separation of the studied analytes. A flow rate of 0.6mL min−1 was used because it offered minimum waste generation (3mL/min per run) and short analysis time (5.1 min).

By using 15% acetonitrile, all analytes were eluted in 5 min. However, when 20% acetonitrile was used, coelution between many peaks was observed. Good separation, peak symmetry, resolution and selectivity for the studied analytes were obtained upon using acetonitrile: water in (15:85, v/v) and a flow rate of 0.6mL min-1. Figure 3 shows the separation of the studied analytes.

Figure 3 The separation of the studied analytes using SIM mode.

Validation of SPE-LC method

The validation of the method was performed according to ICH guidelines. Linearity, precision, detection and quantification limits and accuracy were studied.

The linearity of the proposed method was assessed for each analyte using seven concentrations in the calibration range of each standard. The analysis was performed in triplicate as described in the experimental section. The high correlation coefficient values (R2 ≥0.99) reflected the good linearity of the calibration curves.

The precision of the developed method was evaluated by analyzing three replicates of the samples at the same day (within-day precision) and on three consecutive days (between-day precision) at two concentration levels (100µg L-1 and 1000µg L-1). The RSDs were ranged from 1.7% to 10% and 3.4% to 10.2% for within-day and between-day precision, respectively. The obtained results reflected the high precision of the developed method (Table 2).

Analyte

Intra-day precision (RSDa %)

 

Inter-day precision (RSD %)

Low conc.

High conc.

 

Low conc.

High conc.

Lincomycin HCl

6.4

7.2

6.8

7.2

Caffeine

7.9

6.8

7.6

7.5

Trimethoprim

1.7

3.5

3.4

4.5

Levofloxacin

6.1

6.7

6.4

6.8

Norfloxacin

6.3

7.6

5.9

6.2

Ciprofloxacin

4.6

5.3

5.7

5.8

Enrofloxacin

10

9.7

9.3

10.2

Sulfamethazine

2.11

3.5

4.2

3.6

Metoprolol

4.7

3.9

 

4.1

5.3

Table 2 Intra-day and inter-day precision of the studied analytes
aRSD, relative standard deviation of 3 determinations (%).

Detection limits (LOD) and quantification limits (LOQ) were determined according to International Conference on Harmonization (ICH) recommendations25 using signal to noise ratio approach. LODs and LOQs were calculated as the lowest concentrations producing signal-to noise ratio values of three, and ten, respectively (Table 3). The recovery is determined by using standard addition method at two concentration levels. The mean percentage recoveries and their standard deviations were calculated. The recoveries were within the range of 74.6 to 106.7%.

Analytes

Range
(µg L-1)

r2

 

% Recovery±SDa

LODb
(µg L-1)

LOQc
(µg L-1)

 

Low Conc.

High Conc.

Lincomycin HCl

10–1000

0.9996

76.2±4.9

76.6±5.5

0.1

0.3

Caffeine

20–2000

0.9999

74.6±5.9

75.2±5.1

0.2

0.6

Trimethoprim

20–2000

0.9983

93.2±1.6

92.7±3.2

0.3

0.9

Levofloxacin

60–6000

0.998

106.7±6.5

105.9±7.1

0.4

1.2

Norfloxacin

40–4000

0.9979

95.1±6.0

94.7±7.2

0.4

1.2

Ciprofloxacin

50–5000

0.9995

102.3±4.7

102.8±5.4

0.3

0.9

Enrofloxacin

60–6000

0.9956

86.7±8.7

86.9±8.4

0.4

1.2

Sulfamethazine

10–1000

0.9975

74.9±1.6

75.3±2.6

0.1

0.3

Metoprolol

50–5000

0.9975

93.4±4.4

93.7±3.7

0.5

1.5

Table 3 Figures of merit of the developed method for the studied analytes
aStandard deviation.
bLimit of detection.
cLimit of quantification.

Analysis of the studied analytes

The developed SPE-HPLC-MS method was successfully applied to the analysis of different pharmaceuticals in real wastewater samples. After extraction, samples were analyzed to demonstrate the method applicability. Levofloxacin and caffeine could be quantified at 3µg L-1 and 60µg L-1, respectively while other analytes were below their LODs.

This high load of caffeine in the effluent wastewater could be due to the direct disposal of unconsumed caffeine-containing products.26 This result is in agreement with other published studies e.g.27,28 as the levels of caffeine in the range of 0.21–398µg L-1 have been reported to be found in wastewater effluents.

Conclusion

High speed SPE-LCMS method has been developed and optimized for the determination of lincomycin, caffeine, trimethoprim, levofloxacin, norfolxacin, ciprofloxacin, enrofloxacin, sulfamethazine and metoprolol in hospital effluents using a short column packed with superficially porous particles operated in SIM mode. The developed method was validated according to ICH guidelines. The detection limits were in the range of 0.1−0.5µg L-1. All the studied pharmaceuticals were eluted in 5 min with minimum solvent consumption. The developed method could be used to investigate the efficiency of wastewater treatment plants in eliminating pharmaceuticals.

Acknowledgements

This study was funded by the Deanship of Scientific Research, Imam Abdulrahman Bin Faisal University, Saudi Arabia (Grant No. Pharm 2017-250).

Conflict of interest

The author declares that there is no conflict of interest.

References

  1. Shaaban H, Alghamdi H, Alhamed N, et al. Environmental Contamination by Pharmaceutical Waste: Assessing Patterns of Disposing Unwanted Medications and Investigating the Factors Influencing Personal Disposal Choices. J Pharmacol Pharm Res. 2018;1(1):003.
  2. Shaaban H. Pharmaceutically Active Compounds in the Environment: Are we Protected? J Chromatogr Sep Technol. 2017;1(1):111.
  3. Petrovic M, Gonzalez S, Barcelo D. Analysis and removal of emerging contaminants in wastewater and drinking water. TrAC Trends in Analytical Chemistry. 2003;22(10):685–696.
  4. Snyder EM, Snyder SA, Kelly KL, et al. Reproductive responses of common carp (Cyprinus carpio) exposed in cages to influent of the Las Vegas Wash in Lake Mead, Nevada, from late winter to early spring. Environ Sci Technol. 2004;38(23):6385–6395.
  5. Folmar LC, Gardner GR, Schreibman MP, et al. Vitellogenin–induced pathology in male summer flounder (Paralichthys dentatus). Aquat Toxicol. 2001;51(4):431–441.
  6. Kidd KA, Blanchfield PJ, Mills KH, et al. Collapse of a fish population after exposure to a synthetic estrogen. Proc Natl Acad Sci USA. 2007;104(21):8897–8901.
  7. Emnet P, Gaw S, Northcott G, et al. Personal care products and steroid hormones in the Antarctic coastal environment associated with two Antarctic research stations, McMurdo Station and Scott Base. Environ Res. 2015;136:331–342.
  8. Shaaban H. Green, Eco-Friendly Bio-Analytical Techniques for Pharmaceutical Analysis. J Clin Bioanal Chem. 2017;1(1):1–2.
  9. Zhang K, Zhao YB, Fent K. Occurrence and Ecotoxicological Effects of Free, Conjugated, and Halogenated Steroids Including 17 alpha-Hydroxypregnanolone and Pregnanediol in Swiss Wastewater and Surface Water. Environ Sci Technol. 2017;51(11):6498–6506.
  10. Ying GG, Kookana RS, Ru YJ. Occurrence and fate of hormone steroids in the environment. Environ Int. 2002;28(6):545–551.
  11. Hao CY, Clement R, Yang P. Liquid chromatography-tandem mass spectrometry of bioactive pharmaceutical compounds in the aquatic environment - a decade's activities. Anal Bioanal Chem. 2007;387(4):1247–1257.
  12. Shaaban H, Gorecki T. High-Efficiency Liquid Chromatography Using Sub-2 mu m Columns at Elevated Temperature for the Analysis of Sulfonamides in Wastewater. Chromatographia. 2011;74(1–2):9–17.
  13. Shaaban H, Gorecki T. Fast ultrahigh performance liquid chromatographic method for the simultaneous determination of 25 emerging contaminants in surface water and wastewater samples using superficially porous sub-3 mu m particles as an alternative to fully porous sub-2 mu m particles. Talanta. 2012;100:80–89.
  14. Shaaban H, Gorecki T. Green ultra-fast high-performance liquid chromatographic method using a short narrow-bore column packed with fully porous sub-2 mu m particles for the simultaneous determination of selected pharmaceuticals as surface water and wastewater pollutants. J Sep Sci. 2013;36(2):252–261.
  15. Klarskov Møller K, Møller Jensen N, Møller T, et al. Environmentally friendly treatment of highly potent pharmaceuticals in hospital wastewater. Mermiss. 2018.
  16. Al Qarni H, Collier P, O'Keeffe J, et al. Investigating the removal of some pharmaceutical compounds in hospital wastewater treatment plants operating in Saudi Arabia. Environ Sci Pollut R. 2016;23(13):13003–13014.
  17. Shaaban H, Gorecki T. Current trends in green liquid chromatography for the analysis of pharmaceutically active compounds in the environmental water compartments. Talanta. 2015;132:739–752.
  18. Shaaban H. New insights into liquid chromatography for more eco-friendly analysis of pharmaceuticals. Anal Bioanal Chem. 2016;408(25):6929–6944.
  19. Shaaban H, Gorecki T. High temperature-high efficiency liquid chromatography using sub-2µm coupled columns for the analysis of selected non-steroidal anti-inflammatory drugs and veterinary antibiotics in environmental samples. Anal Chim Acta. 2011;702(1):136–143.
  20. Shaaban H, Gorecki T. Optimization and validation of a fast ultrahigh-pressure liquid chromatographic method for simultaneous determination of selected sulphonamides in water samples using a fully porous sub-2µm column at elevated temperature. J Sep Sci. 2012;35(2):216–224.
  21. Caban M, Lis E, Kumirska J, et al. Determination of pharmaceutical residues in drinking water in Poland using a new SPE-GC-MS(SIM) method based on Speedisk extraction disks and DIMETRIS derivatization. Sci Total Environ. 2015;538:402–411.
  22. Farre M, Petrovic M, Barcelo D. Recently developed GC/MS and LC/MS methods for determining NSAIDs in water samples. Anal Bioanal Chem. 2007;387(4):1203–1214.
  23. Eichhorn P, Aga DS. Identification of a photooxygenation product of chlortetracycline in hog lagoons using LC/ESI-ion trap-MS and LC/ESI-time-of-flight-MS. Anal Chem. 2004;76(20):6002–6011.
  24. Shaaban H, Gorecki T. Fused core particles as an alternative to fully porous sub-2µm particles in pharmaceutical analysis using coupled columns at elevated temperature. Analytical Methods. 2012;4(9):2735–2743.
  25. ICH Topic Q 2B, European Agency for the Evaluation of Medical Products. 1996.
  26. Chen ZL, Pavelic P, Dillon P, et al. Determination of caffeine as a tracer of sewage effluent in natural waters by on-line solid-phase extraction and liquid chromatography with diode-array detection. Water Res. 2002;36(19):4830–4838.
  27. Shaaban H. High speed hydrophilic interaction liquid chromatographic method for simultaneous determination of selected pharmaceuticals in wastewater using a cyano-bonded silica column. Journal of Liquid Chromatography & Related Technologies. 2018;41(4):180–187.
  28. Alahmad M, Alahmad W. Simultaneous Determination of Some Pharmaceuticals in Hospital Effluents using HPLC with UV and Fluorescence Detectors. Jordan Journal of Pharmaceutical Sciences. 2012;5(1):21–29.
Creative Commons Attribution License

©2018 Mostafa, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.