| Literature DB >> 35518922 |
D P Manjarrés1, N Montemurro1, S Pérez1.
Abstract
Pharmaceuticals (PhACs) are partially removed during wastewater treatment and end up in the receiving waters. As a result, aquatic biota is continuously exposed to a wide range of potentially hazardous contaminants such as PhACs. Therefore, fish could be a good bio indicator to give a direct measure of the occurrence of PhACs in the aquatic environment. In this study, a robust analytical method has been optimized and validated for the determination of 81 organic compounds, mainly PhACs, in seven wild fish tissue types (liver, muscle, pancreas, kidney, skin, heart, and brain) and two body fluids (plasma and bile). Solid samples extraction was performed combining a procedure based on bead beating tissue homogenization plus ultrasound extraction followed by dispersive solid-phase extraction (dSPE) clean-up using zirconia and C18 sorbents for solid matrices, whereas bile and plasma were diluted. The key aspects of this method are: • The method facilitated the simultaneous extraction of 81 PhACs of a wide range of polarity (logP from -4.9 to 5.6) in tissues with variable lipid content. • The validation was performed using Cyprinus carpio at 20 ng g-1 and 200 ng g-1 for solid tissues, 50 ng mL-1 and 500 ng mL-1 for plasma, and 100 ng mL-1 and 1000 ng mL-1 for bile. Analyte detection was performed in LC-HRMS Q-Exactive Orbitrap system with full scan and targeted data-independent acquisition (DIA) mode for high-confidence and sensitive quantitation in either (+) or (-) ESI mode. • The majority of compounds presented recoveries between 40% and 70% and relative standard deviations (RSD) below 30%.Entities:
Keywords: LC-HRMS; Pharmaceuticals: Fish organs; Targeted data independent acquisition
Year: 2022 PMID: 35518922 PMCID: PMC9062737 DOI: 10.1016/j.mex.2022.101705
Source DB: PubMed Journal: MethodsX ISSN: 2215-0161
Analytical platform and respective conditions.
| Waters Acquity I-Class UPLC® | |
|---|---|
| Columns | Phenomenex Reversed-phase EVO C18 KINETEX column (100 × 2.1 mm, 2.6 μm) supplied with precolumn Phenomenex p/n: AJO-9000 |
| Mobile phase A | ESI (+): 5 mM of ammonium acetate and 0.1% acetic acid |
| Mobile phase B | MeCN |
| Flow rate | 0.2 mL min−1 |
| Run time | 19 min |
| Injection volume | 10 μL |
| Gradient profile | (1) 0.0 min 5% A |
| Auto sample Temp. | 10°C |
| Flow diverted to waste | Flow diverted to waste 18.0 - 19.0 min |
| Weak Needle wash | H2O:/MeCN (95:5, v/v) |
| Strong Needle wash | MeOH 100% |
| Seal wash | H2O/MeOH (70:30, v/v) |
| Spray voltage | 3.5 kV (ESI +), -2.5 kV (ESI -) |
| Sheath gas (N2 >95%) | 35 (ESI +), 25 (ESI -) |
| Resolving power | 70,000 FWHM |
| Capillary temperature | 350°C |
| Aux Gas (N2 >95%) | 10 |
| Auxiliary gas heater temp | 250°C |
| S-Lens RF Level | 60 |
| Chrom. Peak width (FWHM) | 12 s |
| Microscans | 1 |
| Resolution | 35,000 |
| AGC target | 3e6 |
| Maximum IT | 150 ms |
| Number of scan ranges | 1 |
| Scan range | 90 to 1000 m/z |
| Spectrum data type | Profile |
| Microscans | 1 |
| Resolution | 17.500 |
| AGC target, | 2e5 |
| Maximum IT | auto |
| Loop count | 1 |
| MSX count | 1 |
| MSX isochronus ITs | On |
| Isolation window | 1.5 m/z |
| Isolation offset | 0.0 m/z |
| Spectrum data type | Profile |
| (N) CE / stepped (N) CE | nce: 30 |
Ammonium fluoride was used because this additive improves the negative ionization. This is due to the high electronegativity of the fluoride ion [27]. Sensitivity is enhanced because in the gas phase fluoride ions capture protons from neutral analytes giving to HF and the formation of [M+F]− and [M+FHF]− ions clusters [28]. The use of ammonium fluoride has been previously reported by [29] for PhACs analysis.
Fig. 1Recoveries obtained for all matrices at the two validation levels. A: Level 1 (100 ng mL−1 for bile, 50 ng mL−1 for plasma and 20 ng g−1 for solid tissues). B: Level 2 (1000 ng mL−1 for bile, 500 ng mL−1 for plasma and 200 ng g−1 for solid tissues).
Fig. 2Matrix effect obtained by all tissues and body fluids for the two validation levels. A: Level 1 (100 ng mL−1 for bile, 50 ng mL−1 for plasma and 20 ng g−1 for solid tissues). B: Level 2 (1000 ng mL−1 for bile, 500 ng mL−1 for plasma and 200 ng g−1 for solid tissues).
LOD and LOQ estimated for each matrix.
| Matrix | LOD (ng g−1) | LOQ (ng g−1) |
|---|---|---|
| Bile | 0.02–28.71 | 0.08-95.69 |
| Plasma | 0.01–1.56 | 0.03–5.20 |
| Muscle | 0.01–9.27 | 0.02–30.90 |
| Heart | 0.0004–3.85 | 0.001–12.82 |
| Skin | 0.004–3.46 | 0.01–11.54 |
| Liver | 0.01–2.66 | 0.03–8.87 |
| Kidney | 0.01–14.91 | 0.02–49.70 |
| Pancreas | 0.001–8.55 | 0.004–28.49 |
| Brain | 0.004–14.10 | 0.01–47.00 |
Units in ng mL−1.
PhACs within acceptable range.1
| PhACs | Muscle | Heart | Skin | Liver | Kidney | Pancreas | Brain | Plasma | Bile |
|---|---|---|---|---|---|---|---|---|---|
| Benzotriazole | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| 5-methyl-Benzotriazole | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Acetaminophen | ✓ | ✓ | |||||||
| Acridone | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Alprazolam | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Amantadine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Atenolol | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Atorvastatin | ✓ | ✓ | |||||||
| Benzoylecgonine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Bezafibrate | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Bisphenol-A | ✓ | ✓ | ✓ | ||||||
| Bromazepam | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Caffeine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Carazolol | ✓ | ✓ | ✓ | ✓ | ✓ | ||||
| Carbamazepine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| CBZ-10,11-epoxide | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Clarithromycin | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Chloramphenicol | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Ciprofloxacin | ✓ | ✓ | |||||||
| Clofibric_Acid | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Coca-ethylene | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Cocaine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Codeine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Cotinine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Desmethylcitalopram | ✓ | ✓ | ✓ | ||||||
| Diazepam | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Diclofenac | ✓ | ✓ | ✓ | ||||||
| Diltiazem | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Erythromycin | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Fipronil | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Fipronil_Desulfinyl | ✓ | ✓ | |||||||
| Fipronil_Sulfide | ✓ | ✓ | |||||||
| Fipronil_sulfone | ✓ | ✓ | |||||||
| Fluconazole | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Flufenamic_Acid | |||||||||
| Flumequine | ✓ | ✓ | ✓ | ||||||
| Fluoxetine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Norfluoxetine | ✓ | ||||||||
| Furazolidone | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Furosemide | ✓ | ✓ | ✓ | ✓ | ✓ | ||||
| Hydrochlorothiazide | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Ibuprofen | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Irgasan | ✓ | ✓ | |||||||
| Ketoprofen | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Lamotrigine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Loratadine | ✓ | ✓ | ✓ | ||||||
| Lorazepam | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Losartan | ✓ | ✓ | |||||||
| Mefenamic acid | ✓ | ✓ | |||||||
| Metformin | ✓ | ✓ | ✓ | ||||||
| Metoprolol | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Midazolam | ✓ | ✓ | ✓ | ||||||
| Morphine | ✓ | ✓ | |||||||
| Nadilixic Acid | ✓ | ✓ | ✓ | ||||||
| Omeprazole | ✓ | ||||||||
| Oseltamivir_phospate | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Oseltamivir-CBX | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Oxazepam | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Oxytetracycline | |||||||||
| Paroxetine | ✓ | ✓ | |||||||
| Pentobarbital | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Propyphenazone | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Salbutamol | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Sertraline | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Sitagliptin | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
| Sotalol | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Sulfadimethoxine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Sulfamethazine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Sulfamethoxazole | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| N-acethyl_SMX | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Sulfapyridine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |||
| Temazepam | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Tramadol | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Triclocarban | ✓ | ✓ | |||||||
| Trimethoprim | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Valsartan | ✓ | ✓ | ✓ | ✓ | ✓ | ||||
| Valsartan Acid | ✓ | ✓ | |||||||
| Venlafaxine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| O-Desmethylvenlafaxine | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Verapamil | ✓ | ✓ | ✓ | ✓ | ✓ | ||||
| Warfarin | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
The parameters for which an acceptable range was determined were that the compound obtained a recovery greater than 40% and an RSD less than 30% for the two validation levels. (✓) Meets acceptable range. (x) Does not meet acceptable range.
Fig. 3Chromatograms and their corresponding MS2 spectra for two of the compounds detected in fish tissues and body fluids. Characteristics product ions are highlighted in a red box. A: Chromatogram and MS2 spectra for venlafaxine detected in Anguilla anguilla liver. B: Chromatogram and MS2 spectra for sertraline detected in Liza ramada plasma.
| Chemistry | |
| Environmental Analytical Chemistry – Organic contaminants | |
| Peña-Herrera J.M., Montemurro N., Barceló D., Pérez S. Combining quantitative and qualitative approaches using Sequential Window Acquisition of All Theoretical Fragment-Ion methodology for the detection of pharmaceuticals and related compounds in river fish extracted using a sample miniaturized method. Journal of Chromatography A, 461009 (2020) | |
| Thermo Scientific Xcalibur Software v. 4.1.31.9. |