Mass Spectrometric Parameters Research Articles

Tracing Pharmaceuticals in Water Systems: Focus on Neurodegenerative and Psychiatric Treatments.

Pharmaceutical residues in aquatic ecosystems pose significant environmental and public health challenges. Identifying the presence and levels of these pharmaceuticals is crucial. This study developed an analytical method to detect pharmaceuticals used for Alzheimer's (AD) and Parkinson's (PD) disease, including psychiatric drugs and the stimulant caffeine, targeting 30 compounds. Optimized mass spectrometric and liquid chromatographic parameters enabled robust detection and quantification. The methodology was applied to 25 surface and wastewater samples. Twenty-one compounds were detected including eight psychiatric drugs, five metabolites (citalopram N-oxide, citalopram propionic acid, desmethylcitalopram, O-desmethylvenlafaxine, and 10,11-epoxycarbamazepine), and seven AD/PD pharmaceuticals along with caffeine. Nine compounds (apomorphine, benserazide, donepezil, didemethylcitalopram, carbidopa, norfluoxetine, galantamine, pramipexole, and safinamide) were not detected. Fluoxetine was found in all samples, and caffeine had the highest concentration at 76,991 ng/L, reflecting its high consumption. Concentrations ranged from 29.8 to 656 ng/L for caffeine, <MDL to 381 ng/L for psychiatric drugs, and <MDL to 37.1 ng/L for AD and PD pharmaceuticals in surface water. In wastewater, concentrations ranged from 140 to 76,991 ng/L for caffeine, <MDL to 5227 ng/L for psychiatric drugs, and <MDL to 206 ng/L for AD and PD pharmaceuticals. These findings highlight the critical need for comprehensive environmental monitoring.

Targeted ultra-high performance liquid chromatography-tandem mass spectrometry assay for the quantification of medium-chain phosphatidylcholines in platelets of coronary artery disease patients

In a recent untargeted clinical lipidomics study of platelets of coronary artery disease (CAD) patients, medium-chain phosphatidylcholines (MCPCs) with C8 and C10 fatty acyl residues were found significantly upregulated in the patient group with acute coronary syndrome (ACS) as compared to chronic coronary syndrome (CCS) and healthy controls. To support this finding, this work presents the development and optimization of a targeted UHPLC-QTrap-MS/MS method with multiple reaction monitoring acquisition for the quantitative analysis of MCPCs (PC 10:0/8:0, PC 16:0/8:0, PC 10:0/20:4 and PC 10:0/10:0) in platelets for biomarker validation. A systematic optimization of chromatographic and mass spectrometric parameters was performed. A charged surface hybrid CSH C18 (1.7 µm, 130 Å) column and fine-tuned gradient elution with 2-propanol/acetonitrile and ammonium acetate as additive to the mobile phase was employed in the final method in ESI negative mode. Four selected PC standards (PC 6:0/6:0, PC 8:0/8:0, PC 10:0/10:0 and PC 12:0/12:0), which cover well the carbon and retention rime range of the target analytes, were used for the optimization process and calibration. Quantification was based on matrix-matched calibration with these four selected commercially available MCPC standards as surrogate calibrants and PC 6:0/6:0 (d22) as internal standard. Furthermore, an organic solvent and fatty acyl carbon number-corrected response factor approach gave also accuracies within acceptance limits of bioanalytical validation guidelines and has more generic applicability. Compared to the previous untargeted RPLC-ESI-QTOF-MS/MS method, the optimized targeted UHPLC-QTrap-MS/MS assay showed increased sensitivity and selectivity for the detection of medium-chain PCs in platelet samples of CAD (LOQs in the range of 0.5-5 nmol/L). The method performance parameters indicated its suitability for a future biomarker validation study of MCPCs in platelets.

Sedimentary factors controlling the organic matter enrichment in oil shale, Seyitömer Lacustrine Basin, Western Anatolia: New implications from organic and inorganic geochemistry

AbstractWestern Anatolia, an important segment of the Alp‐Himalayan Belt, hosts numerous Neogene lacustrine basins with potential oil shale reserves surpassing 1.6 billion tonnes. Among these basins, the Seyitömer Basin (Kütahya) stands out, containing oil shales that are intercalated with claystone, marl, limestone and coal layers. This study presents a comprehensive dataset of organic and inorganic chemistry to gain insight into the palaeoclimate and palaeoenvironmental factors that control the enrichment of organic matter. The studied samples exhibit high total organic carbon contents, averaging 12.85% (ranging from 2.22 to 36.21%), high hydrogen indices (486–812 mgHC/g rock) and low oxygen indices (33–70 mgCO2/g total organic carbon), indicating their substantial hydrocarbon‐source potential. These characteristics indicate predominantly ‘excellent’ to occasionally ‘very good’ source rock qualities and very high oil potential. Their pyrolysis, gas chromatography and gas chromatography–mass spectrometer parameters indicate an immature‐early mature characteristic for Seyitömer oil shale samples. They comprise dominantly Type‐I kerogen with minor Type‐II kerogen and lacustrine algal organic matter. Their sedimentological characteristics, along with various geochemical values, such as total organic carbon versus S, B versus Ga and dibenzothiophene/phenanthrene, reveal a moderately deep fresh/brackish to saline lacustrine environment. The Ga/Rb, K/Al and Sr/Cu ratios suggest dominantly humid and warm climate conditions, occasionally interrupted by periods of less humidity. The prevalence of warm and humid climate conditions leads to intense chemical weathering processes, supported by high Chemical Index of Alteration and low Rb/Sr ratios in the associated oil shale samples. Intense chemical weathering and high runoff resulted in dissolved nutrient enrichment, promoting ecological dynamics favourable to increased productivity. Their low Pr/Ph and Mo/total organic carbon ratios, high Ni/Co ratio and, relatively low MoEF/UEF ratio, along with well‐developed lamination of the oil shales, indicate the presence of anoxic conditions in the bottom water. These anoxic conditions would have facilitated the preservation potential of organic matter in the samples. Thus, the palaeoclimate conditions integrated with sedimentary factors have an important role in the ecological dynamic and physical–chemical environmental conditions, ultimately contributing to the organic matter enrichment of the studied samples. This work provides a case study to better understand the sedimentary factors controlling organic matter enrichment in the lacustrine basins of the Alp‐orogenic belt.

Simultaneous determination of canonical purine metabolism using a newly developed HILIC-MS/MS in cultured cells

Purine metabolism acts as the core role in human metabolic network. It offers purine metabolites as raw material for building blocks in cell survival and proliferation. Purine metabolites are the most abundant metabolic substrates in organisms. There are few reports to simultaneously quantify canonical purine metabolism in cells. A novel hydrophilic interaction liquid chromatography coupled with mass spectrometry (HILIC-MS/MS) method was developed to simultaneously determine purines profile in biological samples. Chromatographic separation was achieved using a HILIC (Waters Xbridge™ Amide) column. Different optimizing chromatographic conditions and mass spectrometric parameters were tested in order to provide the best separation and the lowest limit of quantification (LLOQ) values for targeted metabolites. The validation was evaluated according to the Food and Drug Administration guidelines. The limit of determination (LOD) and the LOQ values were in the range of 0.02–8.33 ng mL−1 and 0.1–24.5 ng mL−1, respectively. All calibration curves displayed good linear relationship of with excellent correlation coefficient (r) ranging from 0.9943 to 0.9999. Both intra-day and inter-day variability were below 15 %, respectively. Trueness, expressed as relative error, was always within ±15 %. In addition, no derivatization procedure and ion-pair reagents are in need. The innovated approach demonstrates high sensitivity, strong specificity, and good repeatability, making it suitable for absolute quantitative studies of canonical purine metabolism in cultured cells.

Characterization of an expanded set of assays for immunomodulatory proteins using targeted mass spectrometry

Immunotherapies are revolutionizing cancer care, but many patients do not achieve durable responses and immune-related adverse events are difficult to predict. Quantifying the hundreds of proteins involved in cancer immunity has the potential to provide biomarkers to monitor and predict tumor response. We previously developed robust, multiplexed quantitative assays for immunomodulatory proteins using targeted mass spectrometry, providing measurements that can be performed reproducibly and harmonized across laboratories. Here, we expand upon those efforts in presenting data from a multiplexed immuno-oncology (IO)-3 assay panel targeting 43 peptides representing 39 immune- and inflammation-related proteins. A suite of novel monoclonal antibodies was generated as assay reagents, and the fully characterized antibodies are made available as a resource to the community. The publicly available dataset contains complete characterization of the assay performance, as well as the mass spectrometer parameters and reagent information necessary for implementation of the assay. Quantification of the proteins will provide benefit to correlative studies in clinical trials, identification of new biomarkers, and improve understanding of the immune response in cancer.

Development of a targeted method for DNA adductome and its application as sensitive biomarkers of ambient air pollution exposure

DNA adducts are widely recognized as biomarkers of exposure to environmental carcinogens and associated health effects in toxicological and epidemiological studies. This study presents a targeted and sensitive method for comprehensive DNA adductome analysis using ultra-high-performance liquid chromatography coupled with triple-quadrupole tandem mass spectrometry (UHPLC-QqQ-MS/MS). The method was developed using calf thymus DNA, with careful optimization of mass spectrometric parameters, chromatographic separation conditions, and pretreatment methods. Ultimately, a targeted method was established for 41 DNA adducts, which showed good linearity (R2 ≥0.992), recovery (80.1–119.4 %), accuracy (81.3–117.8 %), and precision (relative standard deviation <14.2 %). The established method was employed to analyze DNA adducts in peripheral blood cells from pregnant women in Shanxi and Beijing. Up to 23 DNA adducts were successfully detected in samples of varying sizes. From 2 μg of maternal DNA samples, seven specific adducts were identified: 5-methyl-2'-deoxycytidine (5-MedC), 5-hydroxymethyl-2'-deoxycytidine (5-HmdC), N6-methyl-2'-deoxyadenosine (N6-MedA), 8-hydroxy-2'-deoxyguanosine (8-OHdG), 5-hydroxy-2'-deoxycytidine (5-OHdC), 1,N6-etheno-2'-deoxyadenosine (1,N6-εdA), and N2-methyl-2'-deoxyguanosine (N2-MedG). This study reveals that exposure to higher concentrations of ambient air pollutants may elevate the levels of DNA methylation and oxidative damage at different base sites, highlighting the application potential of DNA adducts as sensitive biomarkers of air pollution exposure.

LC-MS/MS of Dexamethasone in Rabbit Vitreous Liquid Delivered through Novel Self-nanoemulsifying Drug Delivery Systems

Background: Dexamethasone (DEX), delivered through newly developed selfnanoemulsifying drug delivery systems, which is administered to rabbit eyes, has been presented. The instrumental parameters of the multiple LC-MS/MS methods in the literature are modified according to rabbit vitreous liquid and current laboratory conditions. Methods: Quick optimization of the chromatographic and mass spectrometric parameters was done by inspecting the available literature for the analysis of DEX by LC-MS/MS from biological matrices. Chromatographic separation was achieved in the reverse mode using C18 (50x2.1mm, 5μm) as a stationary phase and acetonitrile and water with ammonium acetate as a mobile phase in gradient elution. Quantitation was done in multiple reaction monitoring (MRM) mode by following the transition of m/z 393 &gt; m/z 373 in positive ion mode. The method was also validated in terms of selectivity, within-day accuracy and precision, linearity, and limit of detection (LOD). The extraction of DEX from rabbit vitreous liquid samples was carried out by protein precipitation using acetonitrile: water (70:30, v/v). Results: DEX and beclomethasone (IS) were successfully separated and detected under optimized experimental settings. The method was selective for DEX and linear in the range of 0.5 and 250 ng/ml. The lower limit of quantification (LLOQ) was determined to be 0.238 ng/ml. The percent relative standard deviation (RSD) and recovery (%) of the low, medium, and high calibration levels were below 10% and within the range of 111%-114%, respectively. RSD (%) and recovery (%) of the LLOQ were below 17% and 82%, respectively. The validated method was successfully applied for the determination of pharmacokinetic properties of newly formulated dexamethasone selfnanoemulsifying drug delivery systems (DEXSNEDDS) used to administer DEX intravitreally to the rabbit. Conclusion: LC-MS/MS conditions for the analysis of LC-MS/MS were determined by examining relevant literature for accomplishing simple and practical optimization of the experimental parameters, followed by method validation and analysis of rabbit vitreous liqiud. As conclusion, pharmacokinetic data of DEXSNEDDS has been obtained in the most accurate, sensitive, economical and rational way possible.

OptiMS: An Accessible Program for Automating Mass Spectrometry Parameter Optimization and Configuration.

Mass spectrometers have an enormous number of user-changeable parameters that drastically affect the observed mass spectrum. Using optimal parameters can significantly improve mass spectrometric data by increasing signal stability and signal-to-noise ratio, which decreases the limit of detection, thus revealing previously unobservable species. However, ascertaining optimal parameters is time-consuming, tedious, and made further challenging by the fact that parameters can act dependently on each other. Consequently, suboptimal parameters are frequently used during characterization, reducing the quality of results. OptiMS, an open-source, cross-platform program, was developed to simplify, accelerate, and more accurately determine optimal mass spectrometer parameters for a given system. It addresses common difficulties associated with existing software such as slow performance, high costs, and limited functionality. OptiMS efficacy was demonstrated through its application to multiple systems, quickly and successfully optimizing instrument parameters unassisted to maximize a user-defined metric, such as the intensity of a particular analyte. Additionally, among other features, OptiMS allows running of a sequence of predefined parameter configurations, reducing the workload of users wishing to obtain mass spectra under multiple sets of conditions.

An extensive screening method for the identification and quantitation of ecdysteroids in equine urine and plasma using liquid chromatography coupled with mass spectrometry.

Recently, there has been a report suggesting that ecdysteroids can enhance sports performance, making them relevant substances in doping control. Hence, it is imperative to examine the analytical characteristics of ecdysteroids in biological samples to identify their misuse in competitive sports. To assess the doping of ecdysteroids such as ecdysone, ecdysterone, ponasterone A, turkesterone, and ajugasterone C, a fast and sensitive extraction and detection method was developed, optimized, and validated using equine urine and plasma. Different extraction techniques, namely, solid-phase extraction, liquid-liquid extraction, and dilute-and-inject, were explored to detect ecdysteroids from equine urine and plasma. The most suitable method of detection was solid-phase extraction using ABS Elut-NEXUS, while liquid-liquid extraction and dilute-and-inject methods encountered difficulties due to the high polarity of ecdysteroids and the presence of significant matrix interferences. Mass spectrometric parameters are optimized on both the Q Exactive high-resolution mass spectrometer and the TSQ Altis triple quadrupole mass spectrometer. However, the study indicated that the triple quadrupole mass spectrometer exhibited improved limit of detection when analyzing samples. To achieve optimal separation of the analytes under investigation from the matrix interferences, various liquid chromatography columns were compared. The Selectra PFPP LC column with a mobile phase consisting of 0.2% formic acid in water (mobile phase A) and acetonitrile (mobile phase B) at a flow rate of 0.5 mL/min demonstrated superior performance. The findings of this study will significantly contribute to the accurate identification of ecdysteroids, facilitating the investigation of their illicit use in horse racing.

A universal surrogate matrix assay for urea measurement in clinical pharmacokinetic studies of respiratory diseases.

In pharmacokinetic studies for respiratory diseases, urea is a commonly used dilution marker for volume normalization of various biological matrices, owing to the fact that urea diffuses freely throughout the body and is minimally affected by disease states. In this study, we developed a convenient liquid chromatography-tandem mass spectrometry (LC-MS/MS) surrogate matrix assay for accurate urea quantitation in plasma, serum and epithelial lining fluid. Different mass spectrometer platforms and ionization modes were compared in parallel. The LC method and mass spectrometer parameters were comprehensively optimized to reduce interferences, to smooth the baseline and to maximize the signal-to-noise ratio. Saline was selected as the surrogate matrix, and its suitability was confirmed by good parallelism and accurate quality control sample measurements. Reliable and robust assay performance was demonstrated by precision and accuracy, dilution integrity, sensitivity, recovery and stability, all of which met bioanalysis requirements to support clinical studies. The assay performance was also verified and better understood by comparing it with a colorimetric assay and to a surrogate analyte assay. The newly developed surrogate matrix assay has the potential to be further expanded for urea quantitation in numerous physiological matrices.

Optimization of Mass Spectrometric Parameters in Data Dependent Acquisition for Untargeted Metabolomics on the Basis of Putative Assignments.

Optimization of mass spectrometric parameters for a data dependent acquisition (DDA) experiment is essential to increase the MS/MS coverage and hence increase metabolite identifications in untargeted metabolomics. We explored the influence of mass spectrometric parameters including mass resolution, radio frequency (RF) level, signal intensity threshold, number of MS/MS events, cycle time, collision energy, maximum ion injection time (MIT), dynamic exclusion, and automatic gain control (AGC) target value on metabolite annotations on an Exploris 480-Orbitrap mass spectrometer. Optimal annotation results were obtained by performing ten data dependent MS/MS scans with a mass isolation window of 2.0 m/z and a minimum signal intensity threshold of 1 × 104 at a mass resolution of 180,000 for MS and 30,000 for MS/MS, while maintaining the RF level at 70%. Furthermore, combining an AGC target value of 5 × 106 and MIT of 100 ms for MS and an AGC target value of 1 × 105 and an MIT of 50 ms for MS/MS scans provided an improved number of annotated metabolites. A 10 s exclusion duration and a two stepped collision energy were optimal for higher spectral quality. These findings confirm that MS parameters do influence metabolomics results, and propose strategies for increasing metabolite coverage in untargeted metabolomics. A limitation of this work is that our parameters were only optimized for one RPLC method on single matrix and may be different for other protocols. Additionally, no metabolites were identified at level 1 confidence. The results presented here are based on metabolite annotations and need to be validated with authentic standards.

Determination of bisphenols in sediment by accelerated solvent extraction and solid-phase extraction purification coupled with ultra performance liquid chromatography-tandem mass spectrometry

Bisphenols are endocrine disruptors that are characterized with bioaccumulation, persistence, and estrogenic activity. Even low contents of bisphenols can exert adverse effects on human health and the ecological environment. Herein, a method combining accelerated solvent extraction and solid-phase extraction purification with ultra performance liquid chromatography-tandem mass spectrometry was developed for the accurate detection of bisphenol A (BPA), bisphenol B (BPB), bisphenol F (BPF), bisphenol S (BPS), bisphenol Z (BPZ), bisphenol AF (BPAF), and bisphenol AP (BPAP) in sediments. The mass spectrometric parameters of the seven bisphenols were optimized, and the response values, separation effects, and chromatographic peak shapes of the target compounds were compared under three different mobile phase conditions. The sediment samples were pretreated by accelerated solvent extraction, and orthogonal tests were used to optimize the extraction solvent, extraction temperature, and cycle number. The results showed that the use of 0.05% (v/v) ammonia and acetonitrile as the mobile phase for gradient elution could rapidly separate the seven bisphenols on an Acquity UPLC BEH C18 column (100 mm×2.1 mm, 1.7 μm). The gradient program was as follows: 0-2 min, 60%A; 2-6 min, 60%A-40%A; 6-6.5 min, 40%A; 6.5-7 min, 40%A-60%A; 7-8 min, 60%A. Orthogonal experiments indicated that the optimal extraction conditions were as follows: extraction solvent of acetonitrile, extraction temperature of 100 ℃, and cycle number of three. The seven bisphenols showed good linearity in the range of 1.0-200 μg/L, with correlation coefficients (r2) greater than 0.999, and the limits of detection were 0.01-0.3 ng/g. The recoveries for the seven bisphenols ranged from 74.9% to 102.8% at three spiking levels (2.0, 10, 20 ng/g), with relative standard deviations ranging from 6.2% to 10.3%. The established method was applied to detect the seven bisphenols in sediment samples collected from Luoma Lake and its inflow rivers. BPA, BPB, BPF, BPS, and BPAF were detected in the sediments of the lake, and BPA, BPF, and BPS were detected in the sediments of its inflow rivers. The detection frequency of BPA and BPF was 100%, and the contents of these bisphenols in the sediment were 11.9-38.0 ng/g and 11.0-27.3 ng/g, respectively. The developed method is simple, rapid with high accuracy and precision, and is suitable for the determination of the seven bisphenols in sediment.

An upgraded CFA – FLC – MS/MS system for the semi-continuous detection of levoglucosan in ice cores

A new Continuous Flow Analysis (CFA) system coupled with Fast Liquid Chromatography – tandem Mass Spectrometry (FLC-MS/MS) has been recently developed for determining organic markers in ice cores. In this work we present an upgrade of this innovative technique, optimized for the detection of levoglucosan in ice cores, a crucial tracer for reconstructing past fires. The upgrade involved a specific optimization of the chromatographic and mass spectrometric parameters, allowing for a higher sampling resolution (down to 1 cm) and the simultaneous collection of discrete samples, for off-line analysis of water stable isotopes and additional chemical markers. The robustness and repeatability of the method has been tested by the analysis of multiple sticks of ice cut from the same shallow alpine ice core, and running the system for several hours on different days. The results show similar and comparable trends between the ice sticks. With this upgraded system, a higher sensitivity and a lower limit of detection (LOD) was achieved compared to discrete analysis of alpine samples for levoglucosan measurements. The new LOD was as low as 66 ng L−1, a net improvement over the previous LOD of 600 ng L−1.

Forensic chemical and chemicotoxicological examination of ricin poisoning by the HPLC-MS/MS method

Is to suggest the method of ricin determination in biological liquids during forensic medical and chemicotoxicological examination. This research describes the optimal conditions of sample processing of biological liquids, allowing to extract the components (ricinine and ricinoleic acid) of castor seeds. The recommended analysis conditions allow to perform research for 15 minutes by high resolution mass spectrometry method combined with high-value liquid chromatography on a chromato-mass spectrometer to detect ricinine and ricinoleic acid. The chromatographic (retention time) and mass-spectrometric parameters (mass spectra) were established for the exact high-quality determination of ricinine and ricinoleic acid.

Improving Ion Mobility Mass Spectrometry of Proteins through Tristate Gating and Optimization of Multiplexing Parameters.

Coupling drift tube ion mobility (IM) to Fourier transform mass spectrometry (FT-MS) affords the opportunity for gas-phase separation of ions based on size and conformation with high-resolution mass analysis. However, combining IM and FT-MS is challenging because ions exit the drift tube on a much faster time scale than the rate of mass analysis. Fourier transform (FT) and Hadamard transform multiplexing methods have been implemented to overcome the duty-cycle mismatch, offering new avenues for obtaining high-resolution, high-mass-accuracy analysis of mobility-selected ions. The gating methods used to integrate the drift tube with the FT mass analyzer discriminate against the transmission of large, low-mobility ions owing to the well-known gate depletion effect. Tristate gating strategies have been shown to increase ion transmission for drift tube IM-FT-MS systems through implementation of dual ion gating, controlling the quantity and timing of ions through the drift tube to reduce losses of slow-moving ions. Here we present an optimized set of multiplexing parameters for tristate gating ion mobility of several proteins on an Orbitrap mass spectrometer and further report parameters for increased ion transmission and mobility resolution as well as decreased experimental times from 15 min down to 30 s. On average, peak intensities in the arrival time distributions (ATDs) for ubiquitin increased 2.1× on average, while those of myoglobin increased by 1.5× with a resolving power increase on average of 11%.

A UPLC- MS/MS Method to Quantify β-Sitosterol and Ferulic Acid of Pygeum Africanum Extract in Bulk and Pharmaceutical Preparation.

This study uses a liquid chromatography-electrospray ionization-tandem mass spectrometry method to determine β-Sitosterol and Ferulic acid in Pygeum africanum extract. Chromatographic separation of the two analytes was performed on an ACQUITY UPLC H-Class system coupled with Xevo TQD mass spectrometer and HSS T3 C18 column (2.1 X 50mm, 1.8μm). Mobile phase A consisted of an aqueous solution of 0.1% formic acid (v/v), and mobile phase B was 0.1% formic acid (v/v) in methanol pumped through a gradient elution mode. Mass spectrometer parameters were optimized using an electrospray ionization source in the positive and negative ionization modes. The quantification of the two analytes was performed using multiple reaction monitoring transitions. The method was fully validated per (FDA) guidelines regarding linearity, accuracy, precision, carryover and selectivity. The proposed method was applied successfully to determine the two investigated compounds in commercially available pharmaceutical products.

Ultrafast measurement of drugs using Probe Electrospray Ionization Mass Spectrometry (PESI-MS) and isotope dilution: An example with metformin

Probe Electrospray Ionization (PESI) is a miniaturized electrospray (ESI) with a capillary of the nanoelectrospray converging on a solid needle with a tip of several hundred nanometers. This probe was developed to be coupled directly to a mass spectrometer (MS) without the need for chromatographic separation, allowing ultrafast analysis with minimal sample preparation. Metformin is the first-line treatment for type 2 diabetes. Lactic acidosis (LA) is a frequent complication that can be either induced by or associated with elevated metformin plasma concentrations. Therefore, a rapid measurement plays an important role in helping clinicians to diagnose overexposure to metformin. In the present study, our objective was to develop a PESI-MS method for an ultra-rapid determination of metformin in plasma by using an isotope dilution approach. Analysis was carried out with a PESI source installed on a triple quadrupole MS (LCMS 8060®, Shimadzu). A multiple reaction monitoring mode (MRM) with 2 transitions for metformin and metformin-D6 (internal standard) was used. To be able to apply an isotope dilution protocol, the main MS parameters were optimized to ensure that the m/z 130.15 > 71.10 (metformin) and m/z 135.95 > 77.15 (metformin-D6) transitions exhibited the same intensity. The method was fully validated with 6 concentration levels (0.5 to 50 mg/L). The matrix effect was evaluated for each level, and the specificity was tested by analysing 6 plasmas spiked with a mix of 44 potential co-medications. Finally, the performance was compared with 2 classical LC-MS/MS and LC-DAD methods used in external labs, by analysing samples from 29 patients. The sample preparation consisted in mixing 10 μL of plasma with 1000 μL ethanol/ammonium formate buffer including metformin-D6 at a fixed concentration of 5 mg/L. Total run time was 0.31 min. The limit of detection and quantification was fixed at 0.5 mg/L. Isotope dilution gave satisfactory results in accuracy and precision for each concentration level (min-max: −12.1–15.8% and 1.0–7.1%, respectively). Thanks to the internal standard the matrix effect was fully corrected (bias less than 1%). The specificity study also reported satisfactory results. Finally, in the representative group of 29 patients (55% with a concentration <5 mg/L, 38% with a concentration >5 mg/L and 7% not detected), we observed almost identical results when comparing LC-DAD and LC-MS/MS to PESI-MS (r2 > 0.99). The PESI-MS approach needs no sample preparation. Combined with a isotope dilution protocol, that requires no calibration curve building, offers the best possibility to design specific, sensitive, accurate and ultra-fast solutions. Our study presents a method which allows an accurate determination of metformin in about 30 seconds that will be helpful in a core lab when rapid diagnosis of LA is needed.

Improved Identification of Proteoforms in Top-Down Proteomics Using FAIMS with Internal CV Stepping.

In top-down (TD) proteomics, prefractionation prior to mass spectrometric (MS) analysis is a crucial step for both the high confidence identification of proteoforms and increased proteome coverage. In addition to liquid-phase separations, gas-phase fractionation strategies such as field asymmetric ion mobility spectrometry (FAIMS) have been shown to be highly beneficial in TD proteomics. However, so far, only external compensation voltage (CV) stepping has been demonstrated for TD proteomics, i.e., single CVs were applied for each run. Here, we investigated the use of internal CV stepping (multiple CVs per acquisition) for single-shot TD analysis, which has huge advantages in terms of measurement time and the amount of sample required. In addition, MS parameters were optimized for the individual CVs since different CVs target certain mass ranges. For example, small proteoforms identified mainly with more negative CVs can be identified with lower resolution and number of microscans than larger proteins identified primarily via less negative CVs. We investigated the optimal combination and number of CVs for different gradient lengths and validated the optimized settings with the low-molecular-weight proteome of CaCo-2 cells obtained using a range of different sample preparation techniques. Compared to measurements without FAIMS, both the number of identified protein groups (+60-94%) and proteoforms (+46-127%) and their confidence were significantly increased, while the measurement time remained identical. In total, we identified 684 protein groups and 2675 proteoforms from CaCo-2 cells in less than 24 h using the optimized multi-CV method.

MASS SPECTROMETRIC DIAGNOSIS OF RECOVERY AFTER RESPIRATORY ILLNESS USING MACHINE LEARNING METHODS

The express methodology of evaluation of mass-spectrometric parameters of gas composition of exhaled air for differential diagnostics of acute respiratory viral infections and tracing of dynamics of recovery after the disease was developed.

Software Solutions for Indication and Identification of Pathogenic Microoranisms Using Time-of-Flight Mass Spectrometry

The effectiveness of differentiation of bacterial pathogens using MALDI-TOF mass spectrometry depends on the quality of sample preparation, compliance with mass spectrometric analysis parameters and statistical approaches used, implemented by various modern software tools. The review provides a brief description of the most known software used in the processing and bioinformation analysis of time-of-flight mass spectrometry data. A list of computer platforms, programs and environments, both commercial and publicly available, is presented. The results of indication and identification of pathogens of particularly dangerous and natural-focal infections by MALDI-TOF mass spectrometry using publicly available software – programming language R, Mass-Up, MicrobeMS, licensed – MatLab, ClinProTools, as well as free web applications, including, Speclust, Ribopeaksare provided. The data on usage of such well-known platforms as MALDI BioTyper, SARAMIS Vitek-MS and Andromas (Andromas SAS, France) for inter- and intra-specific differentiation of closely related species are presented. Results of identification and differentiation of microorganisms applying MALDI-TOF mass spectrometry based on detection of specific proteins for cross-comparison – biomarkers – are given. The analysis shows that the programming language R environment is one of the publicly available universal platforms with an optimal combination of algorithms for processing and interpreting of a large array of mass spectrometric data.