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1.
J Chromatogr A ; 1462: 35-43, 2016 Sep 02.
Article in English | MEDLINE | ID: mdl-27521258

ABSTRACT

A straightforward single-step extraction method based on matrix solid-phase dispersion (MSPD), followed by high-performance liquid chromatography with hybrid quadrupole time of flight mass spectrometry (LC-QTOF-MS), was developed and optimized to determine five non-steroidal anti-inflammatory drugs (Valdecoxib, Etoricoxib, Parecoxib, Celecoxib and 2,5-Dimethylcelecoxib) in sewage sludge samples. The influence of different operational parameters on the extraction efficiency a well as in the matrix effects of the produced extracts was evaluated in detail. Under final working conditions, freeze dried samples (0.2g) were first soaked with 100µL of aqueous potassium hydroxide solution (60%, w/v), mixed with 1g of anhydrous sodium sulfate and dispersed with 1g of Florisil. This blend was transferred to the top of a polypropylene column cartridge containing 3g of silica. Analytes were recovered using 15mL of hexane/acetone (1:2, v/v) mixture. The extracts were concentrated by evaporation and reconstituted with 1mL of methanol/water (1:1, v/v), filtered and injected in the LC system. Quantification limits from 0.005 and 0.05ngg(-1) and absolute recoveries between 86 and 105% were achieved. Results indicated the presence of two of the targeted COXIBs in real samples of sewage sludge, the highest average concentration (22ngg(-1)) corresponding to celecoxib. Moreover, the screening capabilities of the LC-QTOF-MS system demonstrated that the developed MSPD extraction procedure might be useful for the selective extraction of some other pharmaceuticals (e.g. amiodarone and their metabolite N-desethylamiodarone, miconazole, clotrimazole and ketoprofen) from sludge samples.


Subject(s)
Cyclooxygenase 2 Inhibitors/analysis , Sewage/chemistry , Solid Phase Extraction/methods , Tandem Mass Spectrometry/methods , Chromatography, High Pressure Liquid
2.
J Chromatogr A ; 1420: 35-45, 2015 Nov 13.
Article in English | MEDLINE | ID: mdl-26475421

ABSTRACT

The development and performance evaluation of a method for the simultaneous determination of six pharmaceuticals belonging to the class of non-steroidal anti-inflammatory drugs (NSAIDs) which present high selectivity for the cyclooxygenase (COX)-2 isoform of COX (COXIBs) in environmental waters are presented. The method involves an off-line mixed mode (reversed-phase and strong anionic exchange) solid phase extraction (SPE) for the selective concentration of COXIBs in combination with liquid chromatography (LC) quadrupole time-of-flight (QTOF) mass spectrometry (MS). The use of a strong anionic exchange sorbent (Oasis MAX) led to a significant reduction of matrix effects, during electrospray ionization (ESI), in comparison with results obtained for mixed mode weak anionic exchange sorbent (Oasis Wax) and polymeric reversed phase sorbents (Oasis HLB and Strata X). The developed method attained limits of quantification (LOQs) between 0.01 and 0.20 ng L(-1) for river water and effluent wastewater and, for influent wastewater this limits were ranged between 0.03 and 0.45 ng L(-1). Among the pharmaceuticals investigated, two of them (celecoxib and etoricoxib) were detected at low levels (ppt) in real samples of treated and raw wastewaters, and two metabolites were also found; the carboxylated celecoxib and the hydroxylated etoricoxib.


Subject(s)
Chromatography, Liquid/methods , Cyclooxygenase 2 Inhibitors/analysis , Solid Phase Extraction/methods , Tandem Mass Spectrometry/methods , Wastewater/analysis , Wastewater/chemistry , Water Pollutants, Chemical/analysis , Cyclooxygenase 2 Inhibitors/isolation & purification , Water Pollutants, Chemical/isolation & purification
3.
Talanta ; 132: 433-42, 2015 Jan.
Article in English | MEDLINE | ID: mdl-25476328

ABSTRACT

A new straightforward and inexpensive sample screening method for both EPA and EU priority polycyclic aromatic hydrocarbons (PAHs) in water has been developed. The method is based on combined direct immersion and headspace (DIHS) sorptive extraction, using low-cost disposable material, coupled to ultraperformance liquid chromatography with fluorescence and UV detection (UPLC-FD-UV). Extraction parameters, such as the sampling mode, extraction time and ionic strength were investigated in detail and optimized. Under optimized conditions, water samples (16 mL) were concentrated in silicone disks by headspace (HS) and direct immersion (DI) modes simultaneously, at room temperature for 9h for the majority of the 24 studied compounds. Ultrasound-assisted desorption of extracted analytes in acetonitrile was carried out also at room temperature. The optimized chromatographic method provided a good linearity (R≥0.9991) and a broad linear range for all studied PAHs. The proposed analytical procedure exhibited a good precision level with relative standard deviations below 15% for all analytes. Quantification limits between 0.7 and 2.3 µg L(-1) and 0.16 and 3.90 ng L(-1) were obtained for compounds analyzed by UV (acenaphtylene, cyclopenta[c,d]pyrene and benzo[j]fluoranthene) and fluorescence, respectively. Finally, the proposed method was applied to the determination of PAHs in different real tap, river and wastewater samples.


Subject(s)
Drinking Water/chemistry , Fresh Water/chemistry , Polycyclic Aromatic Hydrocarbons/analysis , Solid Phase Microextraction/methods , Wastewater/chemistry , Water Pollutants, Chemical/analysis , Acenaphthenes/analysis , Acetonitriles , Adsorption , Chromatography, High Pressure Liquid/methods , Fluorenes/analysis , Humans , Limit of Detection , Osmolar Concentration , Pyrenes/analysis , Silicones/chemistry , Sonication
4.
Water Res ; 47(9): 3220-30, 2013 Jun 01.
Article in English | MEDLINE | ID: mdl-23582668

ABSTRACT

Potassium permanganate is a strong oxidant widely used in drinking water treatment, that can react with organic micropollutants. Thus, the oxidation kinetics and transformation route of seven non-steroidal anti-inflammatory drugs (NSAIDs) upon reaction with potassium permanganate was investigated. A liquid chromatography-quadrupole-time-of-flight-mass spectrometry (LC-Q-TOF-MS) system was used to follow the time course of pharmaceuticals concentrations and for the identification of their by-products. Under strong oxidation conditions (2 mg L(-1) KMnO4, 24 h), only two NSAIDs were significantly degraded: indomethacine and diclofenac. The degradation kinetics of these two drugs was investigated at different concentrations of permanganate, chlorides, phosphates and sample pH by means of a full factorial experimental design. Depending on these factors, half-lives were in the range: 2-270 h for indomethacine and 3-558 h for diclofenac, equivalent to apparent second order constants between 0.65 and 9.5 M(-1) s(-1) and 0.27 and 7.4 M(-1) s(-1), respectively. Permanganate concentration was the most significant factor on NSAIDs oxidation kinetics, but the pH also played a significant role in diclofenac reaction, being faster at acidic pH. In the case of indomethacine, the dose of permanganate seemed also to play an autocatalytic effect. The use of an accurate-mass high resolution LC-Q-TOF-MS system permitted the identification of a total of 13 by-products. The transformation path of these drugs consisted mainly of hydroxylations, decarboxylations and oxidation of aromatic double bonds, with ring opening. The software predicted toxicity of these products indicates that they are expected not to be more toxic than the NSAIDs, with the exception of two indomethacine by-products. Reaction in real samples was slower and/or incomplete for both pharmaceuticals, depending on the organic matter content of the sample. However, still all transformation products could be detected for indomethacine in permanganate treated surface water samples, and two out of five in the case of diclofenac.


Subject(s)
Anti-Inflammatory Agents, Non-Steroidal/chemistry , Manganese Compounds/chemistry , Oxides/chemistry , Water/chemistry , Chromatography, Liquid , Diclofenac/chemistry , Indomethacin/chemistry , Kinetics , Mass Spectrometry , Oxidation-Reduction , Time Factors
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