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Gas chromatography coupled to a quadrupole time-of-flight mass analyzer (QTOF) with an atmospheric pressure chemical ionization (APCI) source has been tested to study the ionization and mass spectrometric behavior of long-chain and very long-chain polyunsaturated fatty acids (LC-PUFAs, C 18-24 ; VLC-PUFAs, >C 24 ). The protonated molecule ([M+H] + ), measured at accurate mass, became the base peak of the spectrum for all the studied compounds and was promoted by the addition of water into the source. This fact overcame the existing difficulties for the identification of VLC-PUFAs when using an electron ionization source (EI). The extensive fragmentation of PUFAs in this source is the main drawback due to the fact that since reference standards are not commercially available, final identification relies on retention time estimation. The application of GC-APCI-QTOF to the screening of lipid extracts from the eyes of different fish species added confidence to the identification of several VLC-PUFAs. Further investigation of ion ratios allowed to predict the position of key double bonds enabling the classification of VLC-PUFAs as ω3 or ω6 compounds. VLC-PUFAs spectra found in biological samples were compared to those obtained from corresponding peaks found in heterologous expression experiments of fish's Elovl4., (Copyright © 2018 Elsevier B.V. All rights reserved.)

The analysis of amino acids has become a central task in many aspects. While amino acid analysis has traditionally mainly been carried out using either gas chromatography (GC) in combination with flame ionization detection or liquid chromatography (LC) with either post-column derivatization using ninhydrin or pre-column derivatization using o-phthalaldehyde, many of today's analysis platforms are based on chromatography in combination with mass spectrometry (MS). While derivatization is mandatory for the GC-based analysis of amino acids, several LC platforms have emerged, particularly in the dawn of targeted metabolite profiling using hydrophilic interaction liquid chromatography (HILIC) coupled to MS, allowing the analysis of underivatized amino acids. Among the numerous analytical platforms available for amino acid analysis today, we here compare three prominent approaches, being GC-MS and LC-MS after amino acid derivatization using chloroformate and HILIC-MS of underivatized amino acids. We compare and discuss practical issues as well as performance characteristics, e.g., the use of (13)C-labeled internal standards, of the different platforms and present data on their practical implementation in our laboratory. Finally, we compare the real-life applicability of all three platforms for a complex biological sample. While all three platforms are very-well suited for the analysis of complex biological samples they all show advantages and disadvantages for some analytes as discussed in detail in this manuscript., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Omeprazole is one of the world-wide most consumed pharmaceuticals for treatment of gastric diseases. As opposed to other frequently used pharmaceuticals, omeprazole is scarcely detected in urban wastewaters and environmental waters. This was corroborated in a previous research, where parent omeprazole was not detected while four transformation products (TPs), mainly resulting from hydrolysis, were found in effluent wastewaters and surface waters. However, the low abundance of omeprazole TPs in the water samples together with the fact that omeprazole suffers an extensive metabolism, with a wide range of excretion rates (between 0.01 and 30%), suggests that human urinary metabolites should be investigated in the water environment. In this work, the results obtained in excretion tests after administration of a 40 mg omeprazole dose in three healthy volunteers are reported. Analysis by liquid chromatography coupled to hybrid quadrupole time-of-flight mass spectrometry (LC-QTOF MS) reported low concentrations of omeprazole in urine. Up to twenty-four omeprazole metabolites (OMs) were detected and tentatively elucidated. The most relevant OM was an omeprazole isomer, which obviously presented the same exact mass (m/z 346.1225), but also shared a major common fragment at m/z 198.0589. Subsequent analyses of surface water and effluent wastewater samples by both LC-QTOF MS and LC-MS/MS with triple quadrupole revealed that this metabolite (named as OM10) was the compound most frequently detected in water samples, followed by OM14a and OM14b. Up to our knowledge, OM10 had not been used before as urinary biomarker of omeprazole in waters. On the contrary, parent omeprazole was never detected in any of the water samples. After this research, it seems clear that monitoring the presence of omeprazole in the aquatic environment should be focused on the OMs suggested in this article instead of the parent compound., (© 2013.)

The formation of drug-protein adducts following the bioactivation of drugs to reactive metabolites has been linked to adverse drug reactions (ADRs) and is a major complication in drug discovery and development. Identification and quantification of drug-protein adducts in vivo may lead to a better understanding of drug toxicity, but is challenging due to their low abundance in the complex biological samples. Human serum albumin (HSA) is a well-known target of reactive drug metabolites due to the free cysteine on position 34 and is often the first target to be investigated in covalent drug binding studies. Presented here is an optimized strategy for targeted analysis of low-level drug-albumin adducts in serum. This strategy is based on selective extraction of albumin from serum through affinity chromatography, efficient sample treatment and clean-up using gel filtration chromatography followed by tryptic digestion and LC-MS analysis. Quantification of the level of albumin modification was performed through a comparison of non-modified and drug-modified protein based on the relative peak area of the tryptic peptide containing the free cysteine residue. The analysis strategy was applied to serum samples resulting from a drug exposure experiment in mice, which was designed to study the effects of different acetaminophen (APAP) treatments on drug toxicity. APAP is bioactivated to N-acetyl-p-benzoquinoneimine (NAPQI) in both humans and mice and is known to bind to cysteine 34 (cys34) of HSA. Analysis of the mouse serum samples revealed the presence of extremely low-level NAPQI-albumin adducts of approximately 0.2% of the total mouse serum albumin (MSA), regardless of the length of drug exposure. Due to the targeted nature of the strategy, the NAPQI-adduct formation on cys34 could be confirmed while adducts to the second free cysteine on position 579 of MSA were not detected., (Copyright © 2013 Elsevier B.V. All rights reserved.)

Negative-ion LC-MS analysis of drugs is applied far less frequently than positive-ion LC-MS. Data on the interpretation of negative-ion MS-MS spectra are even more scarce. Therefore, following the recent review on the class-specific fragmentation of toxicologically relevant compounds in positive-ion MS-MS, it was decided to perform a similar study in negative-ion MS-MS. To this end, a set of over 500 negative-ion MS-MS spectra was collected from three libraries applied in toxicological general unknown screening and systematic toxicological analysis. The compounds involved were classified by chemical and therapeutic class. The MS-MS spectra were manually interpreted and relevant interpretation data were searched for in the scientific literature. The emphasis in the discussion is on class-specific fragmentation, because discussing fragmentation of all individual compounds would take far too much space. Negative-ion MS-MS fragmentation is discussed for a wide variety of toxicologically relevant compounds, including dihydropyridine calcium channel blockers, diuretics, barbiturates, anti-inflammatory drugs, anti-diabetics, sulfonamide and betalactam antibiotics, and a number of classes of pesticides., (Copyright © 2012 Wiley Periodicals, Inc.)

In the past years we developed high-resolution screening platforms involving separation of bioactive mixtures and on-line or at-line bioassays for a wide variety of biological targets with parallel mass spectrometric detection and identification. In the current research, we make a major step forward in the development of at-line bioassays by implementation of radioligand receptor binding and functional cellular assays to evaluate bioactvity and selectivity. We demonstrate a new platform for high-resolution metabolic profiling of lead compounds for functional activity and selectivity toward the human histamine H(4) receptor (hH(4)R), a member of the large family of membrane-bound G protein-coupled receptors. In this platform analytical chemistry, cell biology and pharmacology are merged. The methodology is based on chromatographic separation of metabolic mixtures by HPLC coupled to high-resolution fractionation onto (multiple) microtiter well plates for complementary assaying. The methodology was used for efficient and rapid metabolic profiling of the drug clozapine and three selective hH(4)R lead compounds. With this new platform metabolites with undesired alterations in target selectivity profiles can be readily identified. Moreover, the parallel identification of metabolite structures, with accurate-mass measurements and MS/MS, allowed identification of liable metabolic 'hotspots' for further lead optimization and plays a central role in the workflow and in this study. The methodology can be easily adapted for use with other receptor screening formats. The efficient combination of pharmacological assays with analytical techniques by leveraging high-resolution at-line fractionation as a linking technology will allow implementation of comprehensive metabolic profiling in an early phase of the drug discovery process., (Copyright © 2012 Elsevier B.V. All rights reserved.)

The analysis of cellular metabolic processes is of fundamental biological interest. Cellular metabolites, such as the intermediates of the tricarboxylic acid (TCA) cycle, provide essential information about the metabolic state of the cell. Not only is the TCA cycle a key factor in the energy regulation within aerobic cells, it possibly also plays a role in cell signaling. This paper describes a novel derivatization strategy, using the empirically selected N-methyl-2-phenylethanamine as derivatization reagent with a carbodiimide as co-reagent, for the selective derivatization of carboxylic acids, such as the di- and tri-carboxylic acids of the TCA cycle. Optimization of the derivatization protocol is described. This procedure enables analysis of the derivatives using on-line solid-phase extraction and reversed-phase liquid chromatography in combination with sensitive positive-ion electrospray ionization mass spectrometry. The complete procedure, involving the use of core-shell silica column material, allows the rapid analysis of TCA cycle intermediates in sample matrices, here shown for pig heart tissue extracts, with a good linearity over 3-4 orders of magnitude. Detection limits range from 12 to 1000 nM, depending on the analyte., (Copyright © 2011 Elsevier B.V. All rights reserved.)

The identification of drugs and related compounds by LC-MS-MS is an important analytical challenge in several application areas, including clinical and forensic toxicology, doping control analysis, and environmental analysis. Although target-compound based analytical strategies are most frequently applied, at some point the information content of the MS-MS spectra becomes relevant. In this article, the positive-ion MS-MS spectra of a wide variety of drugs and related substances are discussed. Starting point was an MS-MS mass spectral library of toxicologically relevant compounds, available on the internet. The positive-ion MS-MS spectra of ∼570 compounds were interpreted by chemical and therapeutic class, thus involving a wide variety of drug compound classes, such benzodiazepines, beta-blockers, angiotensin-converting enzyme inhibitors, phenothiazines, dihydropyridine calcium channel blockers, diuretics, local anesthetics, vasodilators, as well as various subclasses of anti-diabetic, antidepressant, analgesic, and antihistaminic drugs. In addition, the scientific literature was searched for available MS-MS data of these compound classes and the interpretation thereof. The results of this elaborate study are presented in this article. For each individual compound class, the emphasis is on class-specific fragmentation, as discussing fragmentation of all individual compounds would take far too much space. The recognition of class-specific fragmentation may be quite informative in determining the compound class of a specific unknown, which may further help in the identification. In addition, knowledge on (class-specific) fragmentation may further help in the optimization of the selectivity in targeted analytical approaches of compounds of one particular class., (Copyright © 2011 Wiley Periodicals, Inc.)

In order to develop a generic positive ionization ESI LC-MS method for a variety of interesting substance classes, a new derivatization strategy for carboxylic acids was developed. The carboxylic acid group is labeled with the bromine containing 4-APEBA reagent based on carbodiimide chemistry. The derivatization reaction can be carried out under aqueous conditions, thereby greatly simplifying sample preparation. In this paper, the derivatization of carboxylic acids is exemplified for the determination of prostanoids and non-steroidal anti-inflammatory drugs (NSAID). Optimization of the derivatization conditions was studied. In order to prove the applicability of the presented approach, we applied the described protocol to urine samples from complex regional pain syndrome (CRPS) patients and were able to detect several prostanoids not visible in the urine of healthy volunteers. Further, the determination of the non-steroidal anti-inflammatory drug ibuprofen in a urine sample was possible., (Copyright © 2010 Elsevier B.V. All rights reserved.)

The formation of drug-protein adducts in vivo may have important clinical and toxicological implications. Consequently, there is a great interest in the detection of these adducts and the elucidation of their role in the processes leading to adverse and idiosyncratic drug reactions. Enzymatic digestion is a crucial step in bottom-up proteomics strategies for the analysis of drug-protein adducts. The chosen proteolytic enzyme and digestion conditions have a large influence on the protein coverage of the modified protein and identification of its modification site. In this work, the enzymatic digestion conditions (pH, temperature and time) of trypsin and thermolysin were optimized specifically for the characterization of Human Serum Albumin (HSA) adducts. Using a Design of Experiments (DOE), it was found that of the three optimized parameters mainly pH and temperature showed strong effects on both responses. The optimized digestion conditions were different from those obtained from the suppliers or literature. Their application to HSA adducts resulted in improved protein coverage and signal intensity regarding the peptide containing the modification site, thereby highlighting the importance of a detailed optimization of digestion conditions., (Copyright © 2010 Elsevier B.V. All rights reserved.)

Current strategies in the LC-MS analysis of pesticides and related compounds in environmental samples, fruits and vegetables, and biological samples mostly rely on the selection of appropriate precursor/product-ion combinations (transitions) for selected reaction monitoring (SRM), often based on automated parameter optimization and selection of the transition. Such a procedure does not require any information on the type of fragmentation reaction involved in the generation of the product ion from the selected precursor ion. However, such information does become important in untargeted screening for unknown contaminants in environmental and food samples, which are generally based on a combination of high-resolution mass spectrometry and (multistage) tandem mass spectrometry. With this in mind, the group-specific fragmentation behaviour has been studied for six classes of pesticides and herbicides, i.e., triazines, organophosphorous pesticides, phenylurea herbicides, carbamates, sulfonylurea herbicides, and chlorinated phenoxy acid herbicides. When relevant, some comparison was made between fragmentation of protonated molecules in MS-MS and of molecular ions generated by electron ionization in GC-MS., (Copyright (c) 2010 Elsevier B.V. All rights reserved.)

Combined liquid chromatography-mass spectrometry using electrospray or atmospheric-pressure chemical ionization has become an important tool in the quantitative analysis of pesticide residues in various matrices in relation to environmental analysis, food safety, and biological exposure monitoring. One of the major problems in the quantitative analysis using LC-MS is that compound and matrix-dependent response suppression or enhancement may occur, the so-called matrix effect. This article reviews issues related to matrix effects, focusing on quantitative pesticide analysis, but also paying attention to expertise with respect to matrix effects acquired in other application areas of LC-MS, especially quantitative bioanalysis in the course of drug development., ((c) 2006 Wiley Periodicals, Inc.)

A ligand-exchange method for the detection and identification of phosphorylated peptides in complex mixtures is presented that is based on the characterization of phosphorylated species by solution-phase interactions with Fe(III) ions and subsequent fluorescence readout. After the separation of the peptides and digest products on a reversed-phase LC column, the flow is split between the two detection systems. One part is directed towards an electrospray mass spectrometer for direct detection and identification of all the peptides present in the sample. The other part of the flow is directed towards a ligand-exchange detection system. This system relies on the specific release of a fluorescent reporter ligand from a Fe(III)-complex in the presence of phosphorylated peptides. To recognize false positive signals due to high-affinity non-phosphorylated high-acidic peptides and other compounds which are known to be a problem in for instance immobilized metal affinity chromatography (IMAC), a second run is performed after incubation of the sample with alkaline phosphatase. A positive signal in this second run indicates a high-affinity non-phosphorylated compound. The method is illustrated using digest from a phosphorylated alpha-casein. Automated switching between MS and MS-MS was performed to obtain additional information about the compounds present in the sample. The linearity of the method was tested in the range of 0.5-80 microM of phosphorylated peptides. A limit of detection (LOD) of 0.5 microM was obtained for a mono-phosphorylated peptide. The interday (n=4) and intraday precision (n=3) expressed as relative standard deviation was better than 10%.

Electrospray ionization mass spectrometry is applied for the selective detection of metal ligands after a post-column continuous-flow ligand-exchange reaction. The detection is based on the specific release of a reporter ligand from a metal-reporter ligand complex by a high affinity ligand. Constant infusion and direct-injection experiments are performed to optimize the method. The on-line coupling of a liquid chromatographic separation prior to the continuous flow ligand-exchange reaction enables the screening for high affinity ligands in complex samples. The feasibility of the method is demonstrated by using several ligands with a different affinity for either Cu(II) or Zn(II) ions. The selectivity of the ligand-exchange detection method can be tuned by the choice of the reporter ligand. This is demonstrated by using either 2,2'-bipyridyl or 5-methyl-1,10-phenanthroline as reporter ligands.

In the past 10 years, liquid chromatography-mass spectrometry (LC-MS) has rapidly matured to become a very powerful and useful analytical tool that is widely applied in many areas of chemistry, pharmaceutical sciences and biochemistry. In this paper, recent instrumental developments in LC-MS-related interfacing, ionization and mass analysis are reviewed from the perspective of the application of LC-MS in high-throughput screening of combinatorial libraries and the related high-throughput quantitative bioanalysis in early drug-discovery studies, such as early adsorption, distribution, metabolism and excretion studies.

The trace-level determination of pesticides and their transformation products (TPs) in water by means of liquid and gas chromatography (LC and GC) is reviewed. Special attention is given to the use of (tandem) mass spectrometry for identification and confirmation purposes. The complementarity of LC- and GC-based techniques and the potential of comprehensive GCXGC are discussed, and also the impressive performance of time-of-flight mass spectrometry. It is also indicated that, in the near future, the TPs rather than the parent compounds should receive most attention--with a better understanding of matrix effects and eluent composition on the ionization efficiency of analytes being urgently required. Finally, the merits of using much shorter LC columns, or even no column at all (flow-injection analysis) in target analysis are shown, and a more cost-efficient and sophisticated strategy for monitoring programmes is briefly introduced.