Advances in Ultra-High-Resolution Mass Spectrometry for Pharmaceutical Analysis

Pharmaceutical analysis refers to an area of analytical chemistry that deals with active compounds either by themselves (drug substance) or when formulated with excipients (drug product). In a less simplistic way, it can be defined as a complex science involving various disciplines, e.g., drug development, pharmacokinetics, drug metabolism, tissue distribution studies, and environmental contamination analyses. As such, the pharmaceutical analysis covers drug development to its impact on health and the environment. Moreover, due to the need for safe and effective medications, the pharmaceutical industry is one of the most heavily regulated sectors of the global economy. For this reason, powerful analytical instrumentation and efficient methods are required. In the last decades, mass spectrometry has been increasingly used in pharmaceutical analysis both for research aims and routine quality controls. Among different instrumental setups, ultra-high-resolution mass spectrometry with Fourier transform instruments, i.e., Fourier transform ion cyclotron resonance (FTICR) and Orbitrap, gives access to valuable molecular information for pharmaceutical analysis. In fact, thanks to their high resolving power, mass accuracy, and dynamic range, reliable molecular formula assignments or trace analysis in complex mixtures can be obtained. This review summarizes the principles of the two main types of Fourier transform mass spectrometers, and it highlights applications, developments, and future perspectives in pharmaceutical analysis.

Chemophenetic Approach to Selected Senecioneae Species, Combining Morphometric and UHPLC-HRMS Analyses

Herein, a chemophenetic significance, based on the phenolic metabolite profiling of three Senecio (S. hercynicus, S. ovatus, and S. rupestris) and two Jacobaea species (J. pancicii and J. maritima), coupled to morphometric data, is presented. A set of twelve morphometric characters were recorded from each plant species and used as predictor variables in a linear discriminant analysis (LDA) model. From a total 75 observations (15 from each of the five species), the model correctly assumed their species' membership, except for 2 observations. Among the studied species, S. hercynicus and S. ovatus presented the greatest morphological similarity. A phytochemical profiling of phenolic specialized metabolites by UHPLC-Orbitrap-MS revealed 46 hydroxybenzoic, hydroxycinnamic, and acylquinic acids and their derivatives, 1 coumarin and 21 flavonoids. Hierarchical and PCA clustering applied to the phytochemical data corroborated the similarity of S. hercynicus and S. ovatus, observed in the morphometric analysis. This study contributes to the phylogenetic relationships between the tribe Senecioneae taxa and highlights the chemophenetic similarity/dissimilarity of the studied species belonging to Senecio and Jacobaea genera.

Development and Validation of a Non-Targeted Screening Method for Most Psychoactive, Analgesic, Anaesthetic, Anti-Diabetic, Anti-Coagulant and Anti-Hypertensive Drugs in Human Whole Blood and Plasma Using High-Resolution Mass Spectrometry

(1) Background: In toxicological laboratories, various screening methods can be used to identify compounds involved in intoxication. High-resolution mass spectrometry has been increasingly used in this context for the last years, because of its sensitivity and reliability. Here, we present the development and validation of a screening method that uses liquid chromatography coupled with a high-resolution mass spectrometer. (2) Methods: This method required only 100 µL of whole blood or plasma sample. Pretreatment consisted of a rapid and simple deproteinisation with methanol/acetonitrile and zinc sulphate. This new assay was validated according to international guidelines. (3) Results: To perform the method validation, 53 compounds were selected. The selection criteria were as follows: various chemical structures and therapeutic families (>15), large m/z distribution, positive or negative ionisation mode, and various elution times. The assays showed high selectivity and specificity, with optimal process efficiency. The identification limits, determined using predefined criteria, were established at sub-therapeutic or therapeutic concentrations. Applicability was evaluated using spiked plasma controls and external quality controls. (4) Conclusions: The new method was then successfully applied to routine clinical and forensic samples.

Retinyl Ester Analysis by Orbitrap Mass Spectrometry

Retinoids are light-sensitive molecules that are normally detected by UV absorption techniques. Here we describe the identification and quantification of retinyl ester species by high-resolution mass spectrometry. Retinyl esters are extracted by the method of Bligh and Dyer and subsequently separated by HPLC in runs of 40 min. The retinyl esters are identified and quantified by mass spectrometry analysis. This procedure enables the highly sensitive detection and characterization of retinyl esters in biological samples such as hepatic stellate cells.

Diabetes Retinopathy: New Ways to Detect and Treat

Recent clinical trials demonstrated strong association between lipid abnormalities and progression of diabetic retinopathy (DR); however, whether circulating lipid levels or retinal lipid metabolism, or both, contributes to the pathogenesis of DR is not well understood. Limited amounts of retinal tissue available from animal models, such as mouse models of DR, have proved. Limited amount of retinal tissue was especially challenging for cholesterol and oxysterol detection as it precluded identification of individual isomers of each nonesterified sterol class. To measure cholesterol and oxysterols from limited retinal tissue samples, we developed extremely sensitive electrospray ionization liquid chromatography high-resolution/accurate mass measurements on an LTQ Orbitrap Velos mass spectrometer that are able to resolve sterols and oxysterols separated by reverse-phase HPLC using a gradient of 85-100% methanol containing 0.1% formic acid, with subsequent detection in positive ionization mode. This methodology will aid in our understanding of diabetes-induced changes in retinal cholesterol and oxysterol metabolism.

Characterization of different parts of litchi fruit using UHPLC-QExactive Orbitrap

Litchi fruit is consumed across the globe for its high nutritional value and taste. The qualitative profiling of litchi fruit has been carried out by using ultra-high-performance liquid chromatography with QExactive high-resolution accurate mass spectrometry. Acidified water: methanol: acetonitrile (1:1:1) extracts from individual parts (skin, pulp, and seed) of matured litchi, were subjected to LC-MS analysis with electrospray ionization in full MS-ddMS2 mode as a non-target approach. The data was processed through compound discoverer software by the use of mzCloud and ChemSpider databases, for compound identification. We identified 77 compounds with protonated or deprotonated forms based on the polarity and their characteristic fragments are within ± 4 ppm mass error and retention time ± 0.1 min for parent and fragments. Hypoglycin B is the first time reported in litchi fruit along with hypoglycin A. Further, we verified the distribution of the identified components and differentiation of three different parts of litchi through principal component analysis.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13197-022-05577-z.

Suspect screening of pharmaceuticals, illicit drugs, pesticides, and other emerging contaminants in Argentinean Piaractus mesopotamicus, a fish species used for local consumption and export

The widespread distribution of contaminants of emerging concern (CECs) is a major concern due to their potential effects on human health and the environment. The insufficient sewage treatment plant infrastructures is a global problem most accentuated in less developed countries and results in the discharge of CECs to water bodies. Pacu (Piaractus mesopotamicus) is a ray-finned freshwater fish species native to the Paraná basin. It is also the most produced aquaculture fish species in Argentina since 2012. Though uninvestigated to date, the occurrence of CECs in pacu may be of high relevance due to production volumes and relevance to human exposure through fish consumption. In this study, we applied a high-resolution mass spectrometry screening method to qualitatively analyze over 100 CECs in pacu. Four extraction/cleanup methods were tested on pooled pacu fillet, including solid-phase extraction and QuEChERS. The method that produced the highest number of detections was selected for further analysis of pacu purchased in supermarkets and fish markets in Argentina between 2017 and 2020. Residues of pesticides, antibiotics, pharmaceuticals, personal care products, plasticizers, sweeteners, drug metabolites, stimulants, and illegal drugs were detected in the samples. A total of 38 CECs were detected, ranging between 24 and 35 CECs per individual sample. 100% of the samples had positive detections of caffeine, 1,7-dimethylxanthine, xanthine, benzoylecgonine, methylparaben, ethylparaben, bis(2-ethylhexyl) phthalate (DEHP), metolachlor, carbendazim, salicylic acid, 2,4-D, saccharin, cyclamate, and dodecanedioic acid. Mappings generated with correspondence analysis were used to explore similarities/dissimilarities among the detected compounds. To our knowledge this is the first report of saccharin, cyclamate, 2,4 - D, carbendazim, metolachlor, ethylparaben, propylparben, bisphenol A, DEHP, and benzotriazole in fish from Argentina, and the first report on the presence of lisinopril, metropolol acid and dodecanedioic acid in fish worldwide.

Screening of pesticides and emerging contaminants in eighteen Greek lakes by using target and non-target HRMS approaches: Occurrence and ecological risk assessment

Lakes, albeit ecosystems of vital importance, are insufficiently investigated with respect to the degradation of water quality due to the organic micropollutants load. As regards Greece, screening of lake waters is scarce and concerns a limited number of contaminants. However, understanding the occurrence of contaminants of emerging concern (CECs) and other micropollutants in lakes is essential to appraise their potential ecotoxicological effects. The aim of this study was to deploy a multiresidue screening approach based on liquid chromatography-high-resolution mass spectrometry (HRMS) to get a first snapshot for >470 target CECs, including pesticides, pharmaceuticals, personal care products (PPCPs), per- and polyfluoroalkyl substances (PFASs), as well as organophosphate flame retardants (OPFRs) in eighteen Greek lakes in Central, Northern and West Northern Greece. The omnipresent compounds were DEET (N,N-diethyl-meta-toluamide), caffeine and TCPP (tris (1-chloro-2-propyl) phosphate). Maximum concentrations varied among the different classes. DEET was detected at a maximum average concentration of >1000 ng/L in Lake Orestiada, while its mean concentration was estimated at 233 ng/L. The maximum total concentrations for pesticides, PPCPs, PFASs, and OPFRs were 5807, 2669, 33.1, and 1214 ng/L, respectively, indicating that Greek lakes are still threatened by the intense agricultural activity. Besides, HRMS enabled a non-target screening by exploiting the rich content of the full-scan raw data, allowing the 'discovery' of tentative candidates, such as surfactants, pharmaceuticals, and preservatives among others, without reference standards. The potential ecotoxicity was assessed by both the risk quotient method and ECOSAR (Ecological Structure Activity Relationships) revealing low risk for most of the compounds.

Instrument-type effects on chemical isotope labeling LC-MS metabolome analysis: Quadrupole time-of-flight MS vs. Orbitrap MS

Chemical isotope labeling (CIL) LC-MS is a powerful tool for metabolome analysis with markedly improved metabolomic coverage and quantification accuracy over the conventional LC-MS technique. In addition, with differential isotope labeling, each labeled metabolite is detected as a peak pair in the mass spectra, offering the possibility of differentiating true metabolite peaks from the singlet noise or background peaks. In this study, we examined the effects of instrument type on the detectability of true metabolites with a focus on the comparison of quadrupole time-of-flight (QTOF) and Orbitrap mass spectrometers. Using the same ultra-high-performance liquid chromatography setup and optimized running conditions for QTOF and Orbitrap, we compared the total number of peak pairs detected and identified from the two instruments using human urine and serum as the test samples. Many common peak pairs were detected from the two instruments; however, there were a significant number of unique peak pairs detected in each type of instrument. By combining the datasets obtained using QTOF and Orbitrap, the total number of peak pairs detected could be significantly increased. We also examined the effect of mass resolving power on peak pair detection in Orbitrap (60,000 vs. 120,000 resolution). The observed differences in peak pair detectability were much less than those of QTOF vs. Orbitrap. However, the type of peak pairs detected using different resolutions could be somewhat different, offering the possibility of increasing the overall number of peak pairs by combining the two datasets obtained at two different resolutions. The results from this study clearly indicate that instrument type can have a profound effect on metabolite detection in CIL LC-MS. Therefore, comparison of metabolome data generated using different instruments needs to be carefully done. Moreover, future research (e.g., hardware modifications) is warranted to minimize the differences in order to generate more reproducible metabolome data from different types of instruments.

Deep Single-Shot NanoLC-MS Proteome Profiling with a 1500 Bar UHPLC System, Long Fully Porous Columns, and HRAM MS

This study demonstrates how the latest ultrahigh-performance liquid chromatography (UHPLC) technology can be combined with high-resolution accurate-mass (HRAM) mass spectrometry (MS) and long columns packed with fully porous particles to improve bottom-up proteomics analysis with nanoflow liquid chromatography–mass spectrometry (nanoLC-MS) methods. The increased back pressures from the UHPLC system enabled the use of 75 μm I.D. × 75 cm columns packed with 2 μm particles at a typical 300 nL/min flow rate as well as elevated and reduced flow rates. The constant pressure pump operation at 1500 bar reduced sample loading and column washing/equilibration stages and overall overhead time, which maximizes MS utilization time. The versatility of flow rate optimization to balance the sensitivity, throughput with sample loading amount, and capability of using longer gradients contributes to a greater number of peptide and protein identifications for single-shot bottom-up proteomics experiments. The routine proteome profiling and precise quantification of >7000 proteins with single-shot nanoLC-MS analysis open possibilities for large-scale discovery studies with a deep dive into the protein level alterations. Data are available via ProteomeXchange with identifier PXD035665.

Non targeted screening of nitrogen containing disinfection by-products in formation potential tests of river water and subsequent monitoring in tap water samples

The generation of disinfection by-products during water chlorination is a major concern in water treatment, given the potential health risks that these substances may pose. In particular, nitrogen-containing DBPs are believed to have greater toxicological significance than carbon-based DBPs. Hence, high performance liquid chromatography coupled to high-resolution mass spectrometry (HPLC-HRMS) in positive mode was employed to identify new non-volatile nitrogen containing disinfection by-products (DBPs) and to assess their presence in potable water. Nine water samples were taken in the Llobregat river, in the context of a water reuse trial, near the catchment of a drinking water treatment plant (DWTP) in 2019. River samples were disinfected with chlorine under controlled formation potential tests conditions and analysed with a non-target approach. The peak lists of raw and chlorinated samples were compared exhaustively, resulting in an extensive list of 495 DBPs that include bromine and/or chlorine atoms. 172 of these species were found frequently, in three or more chlorinated samples. The empirical formulae of these DBPs were unambiguously annotated on the basis of accurate m/z measurements, isotopic patterns and common heuristic rules. Most of the annotated species (310) contained bromide, which is consistent with the relatively high bromide content of the Llobregat basin (>0.3 mg/l). Drinking water samples were taken at the outlet of the DWTP during the same sampling period. According to their analysis, a large portion of the DBPs detected after the formation potential tests do not reach real-life drinking water, which suggests that the treatment train successfully removes a significant fraction of DBP precursors. However, 131 DBPs could still be detected in the final product water. A larger sampling was carried in the Barcelona water distribution network, during six consecutive weeks, and it revealed the presence of 78 halogenated DBPs in end-consumer water, most of which were nitrogen-containing. MS/MS fragmentation and retention times were employed to tentatively suggest molecular structure for these recalcitrant DBPs.

Mass Difference Matching Unfolds Hidden Molecular Structures of Dissolved Organic Matter

Ultrahigh-resolution Fourier transform mass spectrometry (FTMS) has revealed unprecedented details of natural complex mixtures such as dissolved organic matter (DOM) on a molecular formula level, but we lack approaches to access the underlying structural complexity. We here explore the hypothesis that every DOM precursor ion is potentially linked with all emerging product ions in FTMS² experiments. The resulting mass difference (Δm) matrix is deconvoluted to isolate individual precursor ion Δm profiles and matched with structural information, which was derived from 42 Δm features from 14 in-house reference compounds and a global set of 11 477 Δm features with assigned structure specificities, using a dataset of ∼18 000 unique structures. We show that Δm matching is highly sensitive in predicting potential precursor ion identities in terms of molecular and structural composition. Additionally, the approach identified unresolved precursor ions and missing elements in molecular formula annotation (P, Cl, F). Our study provides first results on how Δm matching refines structural annotations in van Krevelen space but simultaneously demonstrates the wide overlap between potential structural classes. We show that this effect is likely driven by chemodiversity and offers an explanation for the observed ubiquitous presence of molecules in the center of the van Krevelen space. Our promising first results suggest that Δm matching can both unfold the structural information encrypted in DOM and assess the quality of FTMS-derived molecular formulas of complex mixtures in general.

The identification of antioxidant and ACE-I peptides in different turkish ripened cheeses

The principal purpose of this study was to determine antioxidant and ACE-inhibitory (angiotensin converting enzyme) activities of 5 ripened Turkish cheese varieties (Kashar, Erzincan Tulum, Izmir Tulum Gruyere, Mihalic). Among the water-soluble extracts with a molecular weight smaller than 3 kDa Gruyere and Erzincan Tulum exhibited the highest free radical scavenger activity in FRAP (Ferric Reducing Ability of Plasma) and ABTS [2,20-azino-bis-(3-ethylbenzothiazoline-6-sulphonic acid)] assays, respectively. For the inhibition of ACE, Mihalic was more effective than others. The water-soluble extracts of five cheese were analyzed with liquid chromatography-tandem mass spectrometry to identify the peptide sequences. Totally 394 peptides were sequenced; of these, 134 from αs1-casein, 44 from αs2-casein, 198 from β-casein, and 18 from κ-casein. Among these sequences, 48 peptides were reported as bioactive with the activities including ACE-inhibitory, antioxidant, antimicrobial, DPP-IV inhibitory, antidiabetic, immunomodulating, antithrombotic, anti-inflammatory, and inhibition of cholesterol solubility. These results showed that Turkish cheeses are good sources of bioactive peptides.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13197-022-05414-3.

UHPLC-Q-Orbitrap /MS2 identification of (+)-Catechin oxidation reaction dimeric products in red wines and grape seed extracts

B-type procyanidin dimers and (+)-catechin dimeric oxidation products were analyzed in grape seed extracts and red wines (UHPLC-Q-Orbitrap MS). The different dimers had different fragmentation patterns according to their interflavan linkage position. Oxidation dimeric compounds had a specific fragment ion at m/z 393, missing for B-Type dimers fragmentations. A fragment ion at m/z 291 occurred and was specific for oxidation dimeric compounds with a COC linkage. Higher level oxidation products had abundant specific fragments: m/z 425, 397 and 245. These fragmentations were useful to identify them in complex samples such as grape seed extracts and wines. Three grape varieties and three ripening stages were selected and the corresponding seed extracts were obtained. The analyses revealed an increasing trend for the oxidation markers during grape ripening. The analysis of Syrah wines (2018, 2014, 2010) showed a decreasing trend of these molecules during wine ageing which might be due to further oxidation.

Characterization of the Time-Domain Isotopic Beat Patterns of Monoclonal Antibodies in Fourier Transform Mass Spectrometry

The time-domain transients in the Fourier transform mass spectrometry (FTMS) analysis of monoclonal antibodies (mAbs) are known to exhibit characteristic isotopic beat patterns. These patterns are defined by the isotopic distributions of all gaseous mAb ions present in the FTMS mass analyzer, originating from single or multiple charge states, and from single or multiple proteoforms. For an isolated charge state of a single proteoform, the mAb isotopic beat pattern resembles narrow splashes of signal amplitude (beats), spaced periodically in the time-domain transient, with broad (often exceeding 1 s) "valleys" between them. Here, we reinforce the importance of isotopic beat patterns for the accurate interpretation and presentation of FTMS data in the analysis of mAbs and other large biopolymers. An updated, mAb-grade version of the transient-mediated FTMS data simulation and visualization tool, FTMS Simulator is introduced and benchmarked. We then apply this tool to evaluate the charge-state dependent characteristics of isotopic beats in mAbs analyses with modern models of Orbitrap and ion cyclotron resonance (ICR) FTMS instruments, including detection of higher-order harmonics. We demonstrate the impact of the isotopic beat patterns on the analytical characteristics of the resulting mass spectra of individual and overlapping mAb proteoforms. The results reported here detail highly nonlinear dependences of resolution and signal-to-noise ratio on the time-domain transient period, absorption or magnitude mode spectra representation, and apodization functions. The provided description and the demonstrated ability to routinely conduct accurate simulations of FTMS data for large biopolymers should aid the end-users of Orbitrap and ICR FTMS instruments in the analysis of mAbs and other biopolymers, including viruses.

Field Detection of Highly Oxygenated Organic Molecules in Shanghai by Chemical Ionization-Orbitrap

Secondary organic aerosol, formed through atmospheric oxidation processes, plays an important role in affecting climate and human health. In this study, we conducted a comprehensive campaign in the megacity of Shanghai during the 2019 International Import Expo (EXPO), with the first deployment of a chemical ionization─Orbitrap mass spectrometer for ambient measurements. With the ultrahigh mass resolving power of the Orbitrap mass analyzer (up to 140,000 Th/Th) and capability in dealing with massive spectral data sets by positive matrix factorization, we were able to identify the major gas-phase oxidation processes leading to the formation of oxygenated organic molecules (OOM) in Shanghai. Nine main factors from three independent sub-range analysis were identified. More than 90% of OOM are of anthropogenic origin and >60% are nitrogen-containing molecules, mainly dominated by the RO₂ + NO and/or NO₃ chemistry. The emission control during the EXPO showed that even though the restriction was effectual in significantly lowering the primary pollutants (20-70% decrease), the secondary oxidation products responded less effectively (14% decrease), or even increased (50 to >200%) due to the enhancement of ozone and the lowered condensation sink, indicating the importance of a stricter multi-pollutant coordinated strategy in primary and secondary pollution mitigation.

Intact quantitative bioanalytical method development and fit-for-purpose validation of a monoclonal antibody and its related fab fragment in human vitreous and aqueous humor using LC-HRMS

Ranibizumab is an FDA-approved drug used to treat wet age-related macular degeneration (AMD), diabetic retinopathy, macular edema, and myopic choroidal neovascularization. Bevacizumab is another drug often used off-label to treat wet AMD. In order to reduce unwanted angiogenesis, ranibizumab and bevacizumab target circulating VEGF-A in the eye. Concentration levels in human vitreous and aqueous humor can be used to provide valuable efficacy information. However, vitreous and aqueous humor's aqueous environment, and vitreous humor's viscosity, as well as the stickiness of the analytes can provide bioanalytical challenges. In this manuscript, we describe the development, optimization, and fit-for-purpose validation of an LC-HRMS method designed for intact quantitative bioanalysis of ranibizumab and bevacizumab in human vitreous and aqueous humor following intravitreal administration. In order to fully develop this method, evaluations were conducted to optimize the conditions, including the data processing model (extracted ion chromatograms (XICs) vs deconvolution), carryover mitigation, sample preparation scheme optimization for surrogate and primary matrices, use of internal standard/immunocapture/deglycosylation, and optimization of the extraction and dilution procedure, as well as optimization of the liquid chromatography and mass spectrometry conditions. Once the method was fully optimized, a fit-for-purpose validation was conducted, including matrix parallelism, with a linear calibration range of 10 to 200 µg/mL. The development of this intact quantitative method using LC-HRMS provides a proof-of-concept template for challenging, but valuable new and exciting bioanalytical techniques.

High resolution Orbitrap mass spectrometry analysis of oxidized hydrocarbons found in freshwater following a simulated spill of crude oil

Negative ion electrospray Orbitrap mass spectrometry was used to analyze water samples taken from a pilot-scale spill tank test of conventional crude oil on freshwater. A 56-day spill test was performed, and water samples were taken at regular intervals throughout the test to determine what changes in water chemistry occur with time. Orbitrap mass spectrometry was used to measure oxidized species in water samples, and oxidized species are analyzed by carbon number, double bond equivalent and hydrocarbon class. Emphasis is placed on changes with time over the course of the spill test, to examine changes by weathering processes that could occur naturally in a field spill scenario. Results demonstrate that while the concentrations of polycyclic aromatic hydrocarbons decrease in the water phase over time, the concentrations of total organic carbon and oxidized species in the water increase with time, where quantities of O2 and O3 species have the highest abundance. Measurement of increasing concentrations and changing relative abundances of these oxidized compounds can be used to assess how oil behaves in a freshwater aquatic environment after a spill.

Identification and potential mechanism of different components from the aerial part of Bupleurum chinense DC. for epileptic treatment

The present study aimed to assess the effects of epileptic treatment of the aerial part of Bupleurum chinense DC. in kainic acid (KA)-induced epilepsy rats and LPS-induced BV2 cells, as well as to identify the active chemical constituents. The in vivo and vitro results showed that 20% ethanol elution fractions of the aerial part of B. chinense DC. (BCE-20) and 70% ethanol elution fractions of the aerial part of B. chinense DC. (BCE-70) could improve the epileptic state of the rats and status epilepticus (SE%). Moreover, ultra-high-performance liquid chromatography (UPLC)-Orbitrap- mass spectrometry (MS) analysis identified BCE-20 and 70 as flavonoids and phenylpropanoids, respectively. The mechanistic analysis also showed that BCE-20 and 70 could regulate neurotransmitter abnormalities and suppresses the expression and secretion of pro-inflammatory cytokines. Notably, BCE-20 and 70 could regulate the Triggering receptor expressed on myeloid cells 2 (TREM2)/nuclear factor-k-gene binding (NF-κB)/inhibitor of NF-κB α (IκBα) pathway to inhibit the neuroinflammation. Our findings support the ethnopharmacological use of the constituent polyphenols and flavonoids from the aerial part of B. chinense DC., as the strong anti-epileptic agents.

Non-targeted analysis of unknown volatile chemicals in medical masks

This paper reports the non-targeted analysis of unknown volatile chemicals in medical masks through headspace gas chromatography-Orbitrap high-resolution mass spectrometry. In view of the difficulties that may be encountered in the qualitative analysis of unknown substances, several typical cases and the corresponding reliable solutions are given from the perspective of comprehensive score and retention index, chemical ionization identification molecular formula, fragment ion detail comparison for distinguishing isomers, and identification of alkanes. With this method, 69 volatile substances were identified in 60 masks. The identified substances were divided into nine categories. Alkanes, esters, benzenes, and alcohols were the top four groups of substances identified in masks and accounted for 34.8%, 15.9%, 10.1%, and 7.2% of the total substances, respectively. In addition, ketones, ethers, phenolics, amides, and other substances were identified. Ethanol, 1,4-dichlorobenzene, toluene, m-xylene, dimethyl glutarate, and N,N-dimethylacetamide had high detection rates. The identified substances were further filtered and screened according to their detection rate, toxicity, and response intensity. Finally, 12 high-risk volatile chemicals in medical masks were listed. This study could serve as a reference for identifying unknown substances and a guide for monitoring volatile chemicals in masks and promoting chemical safety improvements in products.

Transformation of bitumen-derived naphthenic acid fraction compounds across surface waters of wetlands in the Athabasca Oil Sands region

Bitumen is extracted from oil sands in the Athabasca Oil Sands region (AOSR) of Alberta, Canada. Much of the bitumen-derived toxicity in mine waste is attributable to naphthenic acid fraction compounds (NAFCs). Mines in the AOSR are required to be returned to a natural state after closure; thus, cost-effective strategies are needed to reduce toxicity from NAFCs. Previous studies have demonstrated the capability of constructed wetlands to attenuate NAFCs. However, the capacity of wetlands in the natural environment to degrade and transform NAFCs to less toxic components is poorly understood. To better understand the spatial distribution and fate of NAFCs in natural wetlands, samples were collected across the surfaces of two mature opportunistic wetlands near active oil sands mines. The first wetland has a well-defined surface flow pathway and inflows affected by overburden containing lean bitumen ore. The second wetland, in contrast, is a stagnant water body with raw bitumen visible along its edges. For the wetland with a well defined flow path, NAFCs decreased in concentration down gradient, while oxidized NAFCs constituted a greater proportion of NAFCs with increase in flow path. Likewise there was a decrease in the molecular weights of NAFCs, similar to trends observed in constructed wetland treatment systems. In comparison, NAFCs were more uniformly distributed across the relatively stagnant wetland. Overall, these data provide new evidence that mature opportunistic wetlands in the AOSR can promote the degradation and oxidation of bitumen-derived naphthenic acids into less toxic compounds.

Biomass magnetic porous carbon prepared from mangosteen shell for the preconcentration of 3 bisphenols from beverages followed by liquid chromatographyquadrupoleorbitrap high-resolution mass spectrometry determination

Natural biomass magnetic porous carbon was successfully prepared via a cost-effective and green route using mangosteen shell as raw material. The prepared magnetic porous carbon was used as a magnetic solid phase extraction adsorbent for bisphenols enrichment from beverages followed by high-performance liquid chromatographyquadrupole Orbitrap high-resolution mass spectrometry. Parameters affecting extraction efficiency including sample solutionpH, adsorbent amount, extraction time, eluent type and volume were optimized. Results showed that biomass magnetic porous carbon had excellent adsorption properties for bisphenols due to its large specific surface area and abundant functional groups, which could form hydrogen bonding and π-π stacking with bisphenols. The enrichment factor of 3 bisphenolswere in the range of15∼19. Under optimum conditions, favorable linearity for all analytes was obtained with correlation coefficients higher than 0.998. Recoveries of spiked samples were in the range of 88.5%∼105.1% with relative standard deviation of 3.4%∼5.5%. These results demonstrated thatmagnetic porous carbon may be a promising adsorbent for enrichment of aromatic compounds. This article is protected by copyright. All rights reserved.

TOF-SIMS Imaging of Biological Tissue Sections and Structural Determination Using Tandem MS

Over the past couple of years, imaging mass spectrometry (IMS) has arisen as a powerful tool to answer research questions in the biomedical field. Imaging mass spectrometry allows for label-free chemical imaging by providing full molecular information. The IMS technique best positioned for cell and tissue analysis is time-of-flight secondary ion mass spectrometry (ToF-SIMS) because it has the best spatial resolution of all the molecular IMS techniques and can detect many biochemical species and especially lipids with high sensitivity. Because one must rely on the mass and isotopic pattern of an ion in combination with positive correlations with lower mass fragments to help identify its structure, one major problem during ToF-SIMS experiments is the ambiguity when assigning a molecule to a certain mass peak. The solution are instruments with tandem MS capabilities as was already the case for many MALDI-ToF instruments more than a decade ago. It has been a few years since instruments with this capability were introduced and a number of interesting publications have been produced highlighting the advantages in biological SIMS work. Here, we present a protocol describing how tandem MS can be used to elucidate the structure of unknown or ambiguous mass peaks in biological tissue samples observed during ToF-SIMS imaging based on our experiences.

Characterization of protein isoform diversity in human umbilical vein endothelial cells via long-read proteogenomics

Endothelial cells (ECs) comprise the lumenal lining of all blood vessels and are critical for the functioning of the cardiovascular system. Their phenotypes can be modulated by alternative splicing of RNA to produce distinct protein isoforms. To characterize the RNA and protein isoform landscape within ECs, we applied a long read proteogenomics approach to analyse human umbilical vein endothelial cells (HUVECs). Transcripts delineated from PacBio sequencing serve as the basis for a sample-specific protein database used for downstream mass-spectrometry (MS) analysis to infer protein isoform expression. We detected 53,863 transcript isoforms from 10,426 genes, with 22,195 of those transcripts being novel. Furthermore, the predominant isoform in HUVECs does not correspond with the accepted "reference isoform" 25% of the time, with vascular pathway-related genes among this group. We found 2,597 protein isoforms supported through unique peptides, with an additional 2,280 isoforms nominated upon incorporation of long-read transcript evidence. We characterized a novel alternative acceptor for endothelial-related gene CDH5, suggesting potential changes in its associated signalling pathways. Finally, we identified novel protein isoforms arising from a diversity of RNA splicing mechanisms supported by uniquely mapped novel peptides. Our results represent a high-resolution atlas of known and novel isoforms of potential relevance to endothelial phenotypes and function.[Figure: see text].