Tandem Mass Spectrometry-based Method Research Articles

Development and validation of tandem mass spectrometry-based method for the analysis of more than 400 pesticides in honey

A highly sensitive, efficient and rugged analytical method was developed and validated for determination of residues of more than 400 multiclass pesticides in honey using QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) approach in combination with liquid and gas chromatography coupled to tandem mass spectrometry (LC-MS/MS and GC-MS/MS). Various combinations of extracting solvents and cleanup sorbents were evaluated to optimize the sample preparation step. The method involving acetonitrile as extracting solvent and primary secondary amine (PSA) with magnesium sulphate (MgSO4) as cleanup sorbent proved to be the most effective. The analytical method was validated at 5, 10, and 20 µg kg−1 in accordance with SANTE/11312/2021 and FDA guidelines and found suitable for simultaneous determination of 206 pesticides on LC-MS/MS and 197 pesticides on GC-MS/MS with acceptable recovery (70–120%), precision (RSD <20.0%), linearity (correlation coefficient ≥ 0.99) at limit of quantification (LOQ) ranging from 5 and 10 µg kg−1. The method was successfully applied to monitor pesticide residues in 80 market honey samples collected from different parts of India. The developed method enabled the quantitative determination of a wide spectrum of pesticide residues in honey in a single chromatographic run.

Comparison of LC-MS-based methods for the determination of carboxylic acids in animal matrices

Carboxylic acids (CAs) are key players in human and animal metabolism. As they are hardly retained under reversed-phase liquid chromatography (RP-LC) conditions in their native form, derivatization is an option to make them accessible to RP-LC and simultaneously increase their response for mass spectrometric detection. In this work, two RP-LC tandem mass spectrometry-based methods using aniline or 3-nitrophenylhydrazine (3-NPH) as derivatization agents were compared with respect to several factors including completeness of derivatization, apparent recoveries (RAs) in both cow feces and ruminal fluid, and concentrations obtained in feces and ruminal fluid of cows. Anion exchange chromatography coupled to high-resolution mass spectrometry (AIC-HR-MS) served as reference method. Derivatization efficiencies were close to 100% for 3-NPH derivatization but variable (20–100%) and different in solvent solutions and matrix extracts for aniline derivatization. Likewise, average RAs of 13C-labeled short-chain fatty acids as internal standards were around 100% for 3-NPH derivatization but only 45% for aniline derivatization. Quantification of CAs in feces and ruminal fluid of cows initially fed a forage-only diet and then transitioned to a 65% high-grain diet which yielded similar concentrations for 3-NPH derivatization and AIC-HR-MS, but concentrations determined by aniline derivatization were on average five times lower. For these reasons, derivatization with aniline is not recommended for the quantitative analysis of CAs in animal samples.Graphical abstract

Differentiation of aminohydroxypropanesulfonic acid structural isomers using tandem mass spectrometry-based methods

d-Cysteinolic acid (D-CA) is an important metabolite within the biosulfur cycle. A structural isomer, (R)-3-amino-2-hydroxypropanesulfonate ((R)-AHPS), is less common in nature but potentially can be misidentified as D-CA due to their many shared physical properties. To support confident assignment of these two isomers by use of mass spectrometry alone, this study explores the fragmentation reactions of their [M+H]+ and [M−H]− ions using collision-induced dissociation (CID). Electrospray ionization mass spectrometry (ESI-MS) experiments were conducted on authentic standards using an ion trap mass spectrometer, while a triple-quadrupole (QqQ) mass spectrometer was used in the selective reaction monitoring (SRM) mode to record energy-resolved CID. Density-functional theory (DFT) calculations were carried out at the M06/6-31+G* level of theory to study gas-phase fragmentation mechanisms. The data generated revealed kinetically-controlled fragmentations involving participation of neighboring amino groups in the positive ion mode. Negative ion mode MS analysis could distinguish the structural isomers through different collision energy-resolved results for m/z 95 product ions, CH3SO3−. DFT calculations revealed an enthalpy (ΔH) (Gibbs energy (ΔG)) gap of 31.8 (31.4) kJ/mol between transition state barriers of a concerted mechanism for D-CA, and a more preferred stepwise mechanism for (R)-AHPS.

Antibiotic, Heavy Metal, and Biocide Concentrations in a Wastewater Treatment Plant and Its Receiving Water Body Exceed PNEC Limits: Potential for Antimicrobial Resistance Selective Pressure.

Although the rise in antimicrobial resistance has been attributed mainly to the extensive and indiscriminate use of antimicrobials such as antibiotics and biocides in humans, animals and on plants, studies investigating the impact of this use on water environments in Africa are minimal. This study quantified selected antibiotics, heavy metals, and biocides in an urban wastewater treatment plant (WWTP) and its receiving water body in Kwazulu-Natal, South Africa, in the context of the predicted no-effect concentrations (PNEC) for the selection of antimicrobial resistance (AMR). Water samples were collected from the WWTP effluent discharge point and upstream and downstream from this point. Heavy metals were identified and quantified using the United States Environmental Protection Agency (US EPA) method 200.7. Biocides and antibiotic residues were determined using validated ultra-high-performance liquid chromatography with tandem mass spectrometry-based methods. The overall highest mean antibiotic, metal and biocide concentrations were observed for sulfamethoxazole (286.180 µg/L), neodymium (Nd; 27.734 mg/L), and benzalkonium chloride (BAC 12) (7.805 µg/L), respectively. In decreasing order per sampling site, the pollutant concentrations were effluent > downstream > upstream. This implies that the WWTP significantly contributed to the observed pollution in the receiving water. Furthermore, most of the pollutants measured recorded values exceeding the recommended predicted no-effect concentration (PNEC) values, suggesting that the microbes in such water environments were at risk of developing resistance due to the selection pressure exerted by these antimicrobials. Further studies are required to establish such a relationship.

Association of serum cortisol and cortisone levels and risk of recurrence after endocrine treatment in breast cancer

Metabolic reprogramming in breast cancer involves changes in steroid hormone synthesis and metabolism. Alterations in estrogen levels in both breast tissue and blood may influence carcinogenesis, breast cancer growth, and response to therapy. Our aim was to examine whether serum steroid hormone concentrations could predict the risk of recurrence and treatment-related fatigue in patients with breast cancer. This study included 66 postmenopausal patients with estrogen receptor-positive breast cancer who underwent surgery, radiotherapy, and adjuvant endocrine treatment. Serum samples were collected at six different time points [before the start of radiotherapy (as baseline), immediately after radiotherapy, and then 3, 6, 12 months, and 7–12 years after radiotherapy]. Serum concentrations of eight steroid hormones (cortisol, cortisone, 17α-hydroxyprogesterone, 17β-estradiol, estrone, androstenedione, testosterone, and progesterone) were measured using a liquid chromatography–tandem mass spectrometry-based method. Breast cancer recurrence was defined as clinically proven relapse/metastatic breast cancer or breast cancer-related death. Fatigue was assessed with the QLQ-C30 questionnaire. Serum steroid hormone concentrations measured before and immediately after radiotherapy differed between relapse and relapse-free patients [(accuracy 68.1%, p = 0.02, and 63.2%, p = 0.03, respectively, partial least squares discriminant analysis (PLS-DA)]. Baseline cortisol levels were lower in patients who relapsed than in those who did not (p < 0.05). The Kaplan–Meier analysis showed that patients with high baseline concentrations of cortisol (≥ median) had a significantly lower risk of breast cancer recurrence than patients with low cortisol levels (<median) (p = 0.02). During follow-up, there was a decrease in cortisol and cortisone concentrations in relapse-free patients, whereas these steroid hormones increased in patients who relapsed. In addition, steroid hormone concentrations immediately after radiotherapy were associated with treatment-related fatigue (accuracy of 62.7%, p = 0.03, PLS-DA). However, baseline steroid hormone levels did not predict fatigue at 1 year or at 7–12 years. In conclusion, breast cancer patients with low baseline cortisol levels were more likely to experience recurrence. During follow-up, cortisol and cortisone levels decreased in relapse-free patients but increased in patients with recurrence. Thus, cortisol and cortisone may act as potential biomarkers indicating individual risk of recurrence.

Applied Clinical Tandem Mass Spectrometry-Based Quantification Methods for Lipid-Derived Biomarkers, Steroids and Cannabinoids: Fit-for-Purpose Validation Methods.

The emergence of metabolomics and quantification approaches is revealing new biomarkers applied to drug discovery. In this context, tandem mass spectrometry is the method of choice, requiring a specific validation process for preclinical and clinical applications. Research on the two classes of lipid mediators, steroids and cannabinoids, has revealed a potential interaction in cannabis addiction and metabolism-related disorders. Here we present the development of GC-MS/MS and LC-MS/MS methods for routine quantification of targeted steroids and cannabinoids, respectively. The methods were developed using an isotopic approach, including validation for linearity, selectivity, LLOQ determination, matrix effect, carryover, between- and within-run accuracy and precision, and stability tests to measure 11 steroids and seven cannabinoids in human plasma. These methods were satisfactory for most validity conditions, although not all met the acceptance criteria for all analytes. A comparison of calibration curves in biological and surrogate matrices and in methanol showed that the latter condition was more applicable for our quantification of endogenous compounds. In conclusion, the validation of our methods met the criteria for GLP-qualified rather than GLP-validated methods, which can be used for routine analytical studies for dedicated preclinical and clinical purposes, by combining appropriate system suitability testing, including quality controls in the biological matrix.

Comparative proteomics analysis of transforming growth factor-beta1-overexpressed human dental pulp stem cell-derived secretome on CD44-mediated fibroblast activation via canonical smad signal pathway

ABSTRACT Purpose The aim of this study investigates whether the secretome collected from human dental pulp stem cells (hDPSCs) transfected with transforming growth factor-beta1 (TGF-β1) is related to CD44 expression of fibroblasts and canonical smad signaling pathway via proteomic analyzes. Materials and Methods In order to obtain secretome, hDPSCs were conditioned with serum-free alpha-MEM in an incubator containing 37°C, 5% CO2, and humidity for 18–24 h. Proteins in control and TGF-β1 secretome were analyzed by tandem mass spectrometry-based shotgun proteomic method. Bioinformatic evaluations were completed via Ingenuity Pathway Analysis (IPA, QIAGEN) software. CD44 expressions in fibroblasts were evaluated by real time-PCR, western blot, and immunofluorescent staining. The relationship of canonical smad pathway and CD44 was analyzed by western blot and LC-MS/MS. Cell cycle, proliferation and wound healing tests were performed in the secretome groups. Results Venn diagram was showed 174 common proteins were identified from each group. In the control secretome 140 unique proteins were identified and 66 entries were exclusive for TGF-β1 secretome. CD44 gene and protein expressions were increased in fibroblasts treated with TGF-β1 secretome. Relationship between targeted protein data showed that activation of the canonical TGF-β1/Smad pathway was up-regulated CD44 expression in fibroblasts. The canonical smad pathway-mediated upregulation of CD44 may increase the mitotic activity, proliferation, and wound healing potential in fibroblasts. Conclusion While TGF-β1-transfected hDPSC secretome may be a potential therapeutic candidate in regenerative connective tissue therapies as it induces fibroblast activation, anti-TGF-β1-based therapies would be considered in histopathological conditions such as pulmonary fibrosis or hepatic fibrosis.

Effect of fermentation stages on glucosinolate profiles in kimchi: Quantification of 14 intact glucosinolates using ultra-performance liquid chromatography-tandem mass spectrometry.

We developed and validated an ultra-performance liquid chromatography-electrospray ionization tandem mass spectrometry-based analytical method to determine intact glucosinolates in kimchi and evaluate the effects of fermentation stages on glucosinolate profiles. The developed method yielded reliable data in the kimchi matrix in terms of selectivity, matrix effect (88%-105%), linearity (coefficients of determination ≥0.9991), sensitivity (limits of quantification ≤35nmol/L), accuracy (82%-101%), and precision (≤8%). The kimchi samples contained progoitrin, sinigrin, glucoraphanin, glucoraphenin, glucoalyssin, gluconapin, glucobrassicanapin, glucobrassicin, glucoberteroin, gluconasturtiin, 4-methoxyglucobrassicin, and neoglucobrassicin, of which 4-methoxyglucobrassicin, glucobrassicanapin, and gluconapin were the major compounds. Total glucosinolate content was decreased by 31%-97% and 91-100% in the moderate-fermented and over-fermented samples, respectively, compared with that in the non-fermented samples, revealing sudden glucosinolate degradation between the moderate- and over-fermentation stages. In summary, we report an efficient analytical method to estimate kimchi glucosinolate profiles, which could be a foundation for future studies.

Transforming growth factor β1-enriched secretome up-regulate osteogenic differentiation of dental pulp stem cells, and a potential therapeutic for gingival wound healing: A comparative proteomics study

Objectives: Current study aimed at comparing the human dental pulp-derived stem cell (hDPSC) secretome (Control secretome) and transforming growth factor beta1 (TGF-β1)-transfected hDPSC secretome (TGF-β1 Secretome), which have the potential to be therapeutic in terms of regenerative dentistry, in terms of osteogenesis, adipogenesis and gingival wound healing with proteomic analyses. Materials and Methods: pCMV-TGF-β1 plasmid was transfected into hDPSCs by electroporation. hDPSC and TGF-β1 transfected hDPSC secretomes were collected for LC-MS/MS. Protein contents in control secretome and TGF-β1 secretome were analyzed by tandem mass spectrometry-based shotgun proteomic method. Bioinformatic evaluations for canonical pathways, upstream regulators and networks were completed via Ingenuity Pathway Analysis (IPA, QIAGEN) software. Surface marker expressions between groups, treated secretome were measured by flow cytometry. To support the proteomic data morphologically, we performed osteogenic-adipogenic differentiation in hDPSCs treated with control secretome and TGF-β1 secretome, and scratch wound healing assay in gingival fibroblasts. Statistical analyses were performed by GraphPad Prism 8.02. Results: Venn diagram classification showed us 174 common proteins were identified from each group. In the control secretome 140 unique proteins were identified and 66 entries were exclusive for TGF-β1 secretome. TGF-β1 secretome was found to have therapeutic effect on MSC-specific immunophenotypes. TGF-β1 secretome was determined to up-regulate osteogenesis-related molecules and pathways while down-regulating adipogenesis-related pathways. Analysis of canonical pathways showed that TGF-β1 secretome is associated with the wound healing pathway. Conclusion: Our study provided the first evidence that proteins identified in TGF-β1-transfected hDPSC secretomes are potential regulators of osteogenic/adipogenic differentiation and fibroblast wound healing. Clinical Significance: Based on these results, TGF-β1 secretome may have a therapeutic effect in repairing osteoporosis-related bone injuries, wound healing of oral mucosa and gingival tissue. TGF-β1 secretome may be a potential cell-free therapeutic in orthopedics and regenerative dentistry.

Profile diversity of galacto-oligosaccharides from disaccharides to hexasaccharides by porous graphitic carbon liquid chromatography-orbitrap tandem mass spectrometry

Galacto-oligosaccharides (GOS) are important prebiotic supplements for commercial nutraceutical food. The prebiotic efficacy of functional GOS is dependent on their chemical profile. Screening potential markers aids specifications and quality control of GOS materials. However, profiling analysis of GOS with a degree of polymerization (DP) ≥ 4 is still challenging. This study presents a porous graphitic carbon liquid chromatography-orbitrap tandem mass spectrometry-based method that characterized 58 linear and 10 branched GOS and detected 59 non-reducing GOS from DP2 to DP6. The results indicated that 15 major group components with DP2-DP5 accounted for more than 65% of total GOS content in GOS samples, while non-reducing GOS components accounted for only 2.8–7.6%. Substantial variations in components occurred in samples from different batches and sources. Structural and constitutive diversity were dominated by DP3-DP5. This method can help control the quality of GOS products and be used to investigate the structural and prebiotic-efficacy relationships.

An LC-MS/MS Methodological Framework for Steroid Hormone Measurement from Human Serum.

Estrogens and androgens are important regulators of sexual development and physiological processes in men and women, acting on numerous organs throughout the body. Moreover, they can contribute to a variety of pathologies, including osteoporosis, cancer, and cardiovascular and neurologic diseases. Analysis of estrogens and androgens in biological samples has been commonly performed using immunoassays for many years. However, these assays are suboptimal, as there is cross-reactivity with similar analytes, and they have moderate specificity and sensitivity. Thus, there is a clinical need to develop highly sensitive and specific methods for the accurate measurement of estrogen and androgen concentrations. Herein, we describe the development of three liquid chromatography coupled tandem mass spectrometry-based methods that incorporate the use of a Triple Quadrupole Mass Spectrometer for quantitative measurement of endogenous concentrations of various steroid hormones in human serum samples: (1) the simultaneous measurement of testosterone, androstenedione, and cortisol, (2) dehydroepiandrosterone (DHEA), and (3) 17β-estradiol (E2). The use of derivatizing reagents, Girard's reagent P and dansyl chloride, allowed for significant gains in sensitivity in the analysis of DHEA and E2, respectively, relative to the underivatized analyte. These procedures proved efficient and adequately sensitive for steroid hormone analysis in extracted patient sera samples from older men and postmenopausal women, providing reliable data down to low nanogram/ml and sub-nanogram/ml levels. Moreover, utilizing the combination of highly specific mass transitions associated with these analytes and their respective internal deuterated standards provided a high degree of specificity to the identity of these hormones.

Cytochrome P450-dependent drug oxidation activities and their expression levels in liver microsomes of chimeric TK-NOG mice with humanized livers

Hepatic cytochrome P450 (P450)-dependent drug oxidation activity has not been completely characterized in chimeric TK-NOG mice with humanized livers (humanized liver mice). In this study, we examined several drug oxidation activities catalyzed by liver microsomes from humans, humanized liver mice, and TK-NOG mice using 9 P450 substrates. The catalytic activities of liver microsomes from humans and humanized liver mice showed relatively similar rates of oxidation of 7-ethoxyresorufin, coumarin, 7-pentoxyresorufin, flurbiprofen, S-mephenytoin, chlorzoxazone, and midazolam, whereas bufuralol 1′-hydroxylation and propafenone 4′-hydroxylation (rodent-specific propafenone oxidation activity) were higher in humanized liver mice than in humans. In addition, P450 protein expression levels in the humanized mouse liver were quantified using a liquid chromatography–tandem mass spectrometry-based protein quantification method. Quantification of P450 enzymes showed a 3-fold difference between human and humanized liver mouse livers, except for CYP2B6, which showed an approximately 6-fold difference. Overall, most P450-dependent drug oxidation activities were comparable between liver microsomes from human and humanized liver mice based on the similar expression levels of human P450 enzymes. However, some differences were observed between both species, including considerable differences in bufuralol 1′-hydroxylation and propafenone 4′-hydroxylation activities.

Liquid Chromatograph-Mass Spectrometry-Based Non-targeted Metabolomics Discovery of Potential Endogenous Biomarkers Associated With Prostatitis Rats to Reveal the Effects of Magnoflorine.

Magnoflorine (Mag) has multiple pharmacological activities for the prevention and treatment of prostatitis. However, its molecular mechanisms andpharmacological targets are not clear. In this study, the ultra-performance liquid tandem mass spectrometry-based metabolomics method was used to clarify the intervention of Mag against prostatitis and the biological mechanism. A total of 25 biomarkers associated with the prostatitis model were identified by metabolomics, and a number of metabolic pathways closely related to the model were obtained by MetPA analysis. After given Mag treatment, the results of each indicator were shown that Mag alkaloid could inhibit the development of prostatitis effectively. We found that Mag had regulative effects on potential biomarkers of prostatitis model, which can regulate them to the control group. Our results indicated that alkaloids have an effective intervention therapy for prostatitis, and five types of metabolic pathways closely related to prostatitis model were obtained, including phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, tyrosine metabolism, arginine and proline metabolism, glycine, serine and threonine metabolism, alanine, aspartate and glutamate metabolism. This study has provided the basic experimental data for the development of Mag in the prevention and treatment of prostatitis.

Development of a Gas Chromatography Tandem Mass Spectrometry-Based Analytical Method for the Quantitative Determination of Organochlorine Pesticide Residues in Potato Crops

A method validation study has been performed to analyze organochlorine pesticide residues in potato and sweet potato using gas chromatography-tandem mass spectrometry in a selective ion reaction monitoring (SRM) mode of GC-MS/MS scans. The method (QuEChERS) has been validated in compliance with the European SANTE. The validation parameters were assessed to verify the method’s fitness for the targeted analysis, and the obtained results were observed in the range of the criteria mentioned in the validation guidelines. The optimized method was utilized for the organochlorine pesticide analysis in potatoes and sweet potatoes. The analyzed samples were minimal in their pesticide content as per the standards; it has shown great effectiveness by offering excellent results in terms of accuracy (70-120 % recovery) and precision (<20 %), and retention time (13.5 minutes). As the analysis was well linearized with a regression coefficient of >0.99, it holds a much-reduced maximum relative standard deviation (RSD) of <6 %. The method can be utilized for the twentytwo organochlorine pesticides in potato and sweet potato.

Improved quantification of lipid mediators in plasma and tissues by liquid chromatography tandem mass spectrometry demonstrates mouse strain specific differences

A liquid chromatography tandem mass spectrometry-based method for the quantitation of 39 lipid mediators in four sample types and in two mouse strains is described. The method builds upon existing methodologies for analysis of lipid mediators by A) utilizing a bead homogenization step for tissue samples; this eliminates the need for homogenization glassware and improves homogenization consistency, B) optimizing the isolation and purification of lipid mediators with polymeric reverse phase SPE columns with lower sorbent masses; this results in lower solvent elution volumes without loss of recovery and C) utilizing an on-column enrichment method to improve analyte focusing before chromatographic separation. The method is linear from 0.25-250 pg on column for low level lipid mediators and from 5-5000 pg on column for high level lipid mediators. The addition of a methyl formate elution step to a previously published method dramatically improved precision and recovery for the cysteinyl leukotrienes. Accuracy and precision for 4 different sample types including human plasma, mouse lung, mouse spleen and mouse liver is demonstrated. Liver samples had extremely high levels of a tentatively identified bile acid which interfered with quantitation of resolvin E1, 11B-prostaglandin F2a and thromboxane A2. Results from 2 different tissue sources from untreated mice (C57BL/6 versus BALB/c) showed dramatically different concentrations of lipid mediators.

Rapid and simple multi-analyte LC–MS/MS method for the determination of benzodiazepines and Z-hypnotic drugs in blood samples: Development, validation and application based on three years of toxicological analyses

Benzodiazepines (BZDs) and Z-drugs have been particularly important treatments for sleeping and anxiety disorders for many years. However, recently, a number of new benzodiazepines (named designer benzodiazepines, DBZDs) were synthesised, but some of them have never been used in the clinic; they reached the black drug market as new psychoactive substances and are used for recreational purposes. The abuse of these substances has led to many crimes and even deaths. Therefore, it is necessary to develop new methods for their quantification for forensic and clinical toxicology. A liquid chromatography–tandem mass spectrometry-based method was developed for the simultaneous determination of 20 classical BZDS, 4 DBZDs and 3 Z-hypnotic drugs in human whole blood. As a sample preparation step, liquid-liquid extraction requiring the use of only 0.5 mL of blood sample and 1 mL of extraction solvent was applied. The selectivity, linearity, carry-over effects, limits of detection (LOD) and quantification (LOQ), precision, accuracy (both intra- and inter-day assays) and recovery were evaluated for validation. Calibration curves were linear with r values > 0.98. The LODs ranged from 0.01 to 0.33, and the LOQs were assumed to be 1 ng/mL. Inter-day precisions and accuracies were in the ranges of 87.8% - 108.5% and 1.8% - 11.2%, respectively. The recovery values ranged from 81.0% to 106.7%. The developed method proved to be sensitive, specific, simple, and fast and can be quickly modified and expanded for new compounds by the optimization of MRM. The method was applied for analysis of blood samples in 145 toxicological cases over a three-year study (2017 - 2019), which allowed us to obtain information on the prevalence of the use of these substances. The most frequently determined compounds were nordazepam (87 cases; 60%), diazepam (81 cases; 55.9%), temazepam (72 cases; 49.7%), oxazepam (56 cases; 38.7%), and midazolam (36 cases; 24.8%). The ranges of concentrations were wide and are presented as box plots. The results were used for the preparation of medico-legal opinions, which proved the utility of the method for routine toxicology analyses.

Evaluation of Matrix Effects and Extraction Efficiencies of LC-MS/MS Methods as the Essential Part for Proper Validation of Multiclass Contaminants in Complex Feed.

This work provides a proposal for proper determination of matrix effects and extraction efficiencies as an integral part of full validation of liquid chromatography coupled to tandem mass spectrometry-based multiclass methods for complex feedstuff. Analytical performance data have been determined for 100 selected analytes in three compound feed matrices and twelve single feed ingredients using seven individual samples per matrix type. Apparent recoveries ranged from 60–140% for 52–89% of all compounds in single feed materials and 51–72% in complex compound feed. Regarding extraction efficiencies, 84–97% of all analytes ranged within 70–120% in all tested feed materials, implying that signal suppression due to matrix effects is the main source for the deviation from 100% of the expected target deriving from external calibration. However, the comparison between compound feed and single feed materials shows great variances regarding the apparent recoveries and matrix effects. Therefore, model compound feed formulas for cattle, pig, and chicken were prepared in-house in order to circumvent the issue of the lack of a true blank sample material and to simulate compositional uncertainties. The results of this work highlight that compound feed modeling enables a more realistic estimation of the method performance and therefore should be implemented in future validation guidelines.

Evaluation of OptiFlow™-MS/MS for bioanalysis of pharmaceutical drugs and metabolites.

Aim: Microflow tandem mass spectrometry-based methods have been proposed as options to improve sensitivity and selectivity while improving sample utility and solvent consumption. Here, we evaluate a newly introduced microflow source, OptiFlow™, for quantitative performance. Results/methodology: We performed a comparison of the OptiFlow and IonDrive™ sources, respectively, on the same triple quadrupole mass spectrometer. The comparison used a neat cocktail of commercially available drugs and extracted plasma samples monitoring midazolam and alprazolam metabolites. Microflow produced a 2-4× signal increase for the neat drug cocktail and a 5-10× increase for extracted plasma samples. Conclusion: The OptiFlow method consistently gave increased signal response relative to the IonDrive method and enabled a better lower limit of quantitation for defining phamacokinetics.

De novo structural determination of mannose oligosaccharides by using a logically derived sequence for tandem mass spectrometry

Carbohydrates play important roles in biological recognition processes. However, determining the structures of carbohydrates remains challenging because of their complexity. A simple tandem mass spectrometry-based method for determining the structure of underivatized mannose tetrasaccharides was demonstrated. This method employed the multistage low-energy collision-induced dissociation (CID) of sodium adducts in an ion trap, a logically derived sequence (LODES) from the dissociation mechanism for deciding the sequence of CID, and a specially prepared disaccharide spectrum database. Through this method, the linkages, anomeric configurations, and branch locations of carbohydrates could be determined without the prior assumption of possible structures. We validated this method by blind test of all the commercial available mannose tetrasaccharides. We showed that the structure of a given tetrasaccharide can be determined from 928 isomers by using only three to six appropriately selected CID mass spectra according to the proposed procedure. This method is simple and rapid and has the potential to be applied to other hexoses and oligosaccharides larger than tetrasaccharides. The CID procedures can be built in a computer-controlled mass spectrometer for automatic structural determination of underivatized oligosaccharides. Graphical abstract.

Identification of a novel biomarker for pyridoxine-dependent epilepsy: Implications for newborn screening.

Pyridoxine-dependent epilepsy (PDE) is often characterized as an early onset epileptic encephalopathy with dramatic clinical improvement following pyridoxine supplementation. Unfortunately, not all patients present with classic neonatal seizures or respond to an initial pyridoxine trial, which can result in the under diagnosis of this treatable disorder. Restriction of lysine intake and transport is associated with improved neurologic outcomes, although treatment should be started in the first year of life to be effective. Because of the documented diagnostic delay and benefit of early treatment, we aimed to develop a newborn screening method for PDE. Previous studies have demonstrated the accumulation of Δ1 -piperideine-6-carboxylate and α-aminoadipic semialdehyde in individuals with PDE, although these metabolites are unstable at room temperature (RT) limiting their utility for newborn screening. As a result, we sought to identify a biomarker that could be applied to current newborn screening paradigms. We identified a novel metabolite, 6-oxo-pipecolate (6-oxo-PIP), which accumulates in substantial amounts in blood, plasma, urine, and cerebral spinal fluid of individuals with PDE. Using a stable isotope-labeled internal standard, we developed a nonderivatized liquid chromatography tandem mass spectrometry-based method to quantify 6-oxo-PIP. This method replicates the analytical techniques used in many laboratories and could be used with few modifications in newborn screening programs. Furthermore, 6-oxo-PIP was measurable in urine for 4 months even when stored at RT. Herein, we report a novel biomarker for PDE that is stable at RT and can be quantified using current newborn screening techniques.