High-resolution Mass Spectral Data Research Articles

Integrating High-Resolution Mass Spectral Data, Bioassays and Computational Models to Annotate Bioactives in Botanical Extracts: Case Study Analysis of C. asiatica Extract Associates Dicaffeoylquinic Acids with Protection against Amyloid-β Toxicity.

Rapid screening of botanical extracts for the discovery of bioactive natural products was performed using a fractionation approach in conjunction with flow-injection high-resolution mass spectrometry for obtaining chemical fingerprints of each fraction, enabling the correlation of the relative abundance of molecular features (representing individual phytochemicals) with the read-outs of bioassays. We applied this strategy for discovering and identifying constituents of Centella asiatica (C. asiatica) that protect against Aβ cytotoxicity in vitro. C. asiatica has been associated with improving mental health and cognitive function, with potential use in Alzheimer's disease. Human neuroblastoma MC65 cells were exposed to subfractions of an aqueous extract of C. asiatica to evaluate the protective benefit derived from these subfractions against amyloid β-cytotoxicity. The % viability score of the cells exposed to each subfraction was used in conjunction with the intensity of the molecular features in two computational models, namely Elastic Net and selectivity ratio, to determine the relationship of the peak intensity of molecular features with % viability. Finally, the correlation of mass spectral features with MC65 protection and their abundance in different sub-fractions were visualized using GNPS molecular networking. Both computational methods unequivocally identified dicaffeoylquinic acids as providing strong protection against Aβ-toxicity in MC65 cells, in agreement with the protective effects observed for these compounds in previous preclinical model studies.

New Sesterterpenoid from the Marine Fungus Penicillium oxalicum M893

Objectives The aim of the project was the isolation, structural elucidation, and antimicrobial and antifungal activities of compounds from the culture broth of the marine fungus Penicillium oxalicum M893 (isolated from the marine brown alga Spatoglossum sp.). Methods Combined chromatographic techniques were used to isolate antibacterial and antifungal compounds from the MeOH extract Penicillium oxalicum M893. The structures were elucidated by analyses of high-resolution electrospray ionization mass spectral and nuclear magnetic resonance data. The antimicrobial and antifungal effects of compounds were evaluated using the dilution turbidimetric broth method. Results One new sesterterpenoid, oxaliterpenoid (1), and six known compounds, aspergillusidone C (2), nidulin (3), emeguisin B (4), aspergillusether A (5), aspergillusether J (6), and guisinol (7) were isolated from the methanol extract of the culture broth of Penicillium oxalicum M893. All compounds showed potent antibacterial activities against Gram-(+) bacteria, E. faecalis (ATCC299212), S. aureus (ATCC25923), and B. cereus (ATCC14579), and the yeast Candida albicans (ATCC10231), with MIC values ranging from 2 to 128 µg/mL.

Analytical profile of the lysergamide 1cP-AL-LAD and detection of impurities.

The development of novel lysergamides continues to occur, based on both the needs of psychedelic medicine and commercial interest in new recreational substances. The present study continues the authors' research on novel lysergamides and describes the analytical profile of 1-cyclopropanoyl-AL-LAD (IUPAC name: 1-(cyclopropanecarbonyl)-N,N-diethyl-6-(prop-2-en-1-yl)-9,10-didehydroergoline-8β-carboxamide; 1cP-AL-LAD), using various chromatographic, mass spectrometric, and spectroscopic methods. Analysis of a powdered sample of 1cP-AL-LAD, obtained from an online vendor, by high performance liquid chromatography-electrospray ionization-quadrupole time-of-flight mass spectrometry in full scan/AutoMS/MS mode revealed the detection of 17 impurities based on high-resolution tandem mass spectral data; tentative determination of their identity was based on mass spectral grounds alone, though detection of AL-LAD and 1P-AL-LAD was confirmed using available reference standards. Other tentative compound identifications included 1-acetyl-AL-LAD and several other substances potentially reflecting oxidation of the N6 -allyl group as well as other positions on the ergoline ring system. These data may assist those interested in the chemistry of lysergamides. Finally, 1cP-AL-LAD was also detected in samples of "blotters" sold online for recreational use.

Novel Ambient Oxidation Trends in Fingerprint Aging Discovered by Kendrick Mass Defect Analysis.

A Kendrick mass defect (KMD) plot is an efficient way to disperse complex high-resolution mass spectral data in a visually informative two-dimensional format which allows for the rapid assignment of compound classes that differ by heteroatom content and/or unsaturation. Fingerprint lipid oxidation has the potential to be used to estimate the time since deposition of a fingerprint, but the mass spectra become extremely complex as the lipids degrade. We apply KMD plot analysis for the first time to sebaceous fingerprints aged for 0–7 days to characterize lipid degradation processes analyzed by MALDI-MS. In addition to the ambient ozonolysis of fingerprint lipids previously reported, we observed unique spectral features associated with epoxides and medium chain fatty acid degradation products that are correlated with fingerprint age. We propose an ambient epoxidation mechanism via a peroxyl radical intermediate and the prevalence of omega-10 fatty acyl chains in fingerprint lipids to explain the features observed by the KMD plot analysis. Our hypotheses are supported by an aging experiment performed in a sparse ozone condition and on-surface Paternò–Büchi reaction. A comprehensive understanding of fingerprint degradation processes, afforded by the KMD plots, provides crucial insights for considering which ions to monitor and which to avoid, when creating a robust model for time since deposition of fingerprints.

Exploring the Contribution of (Poly)phenols to the Dietary Exposome Using High Resolution Mass Spectrometry Untargeted Metabolomics.

This study presents a workflow to construct a Dietary Exposome Library (DEL) comprised of phytochemicals and their metabolites derived from host and gut microbiome metabolism for use in peak identification/annotation of untargeted metabolomics datasets. An evidence mapping initiative established target analytes related to the consumption of phytochemical-rich foods. Analytes were confirmed by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS(n)) analysis of human biospecimens from dietary intervention studies of (poly)phenol-rich diets. One hundred and sixty six verified compounds were subsequently analyzed on an untargeted metabolomics platform to acquire chromatographic and high-resolution mass spectral data for construction of a DEL. The DEL facilitated identification/annotation of 123 metabolites associate with exposure to (poly)phenol enriched diets, which included aromatic ketones, benzoic acids, ellagic acids, caffeoylquinic acids, catecholamines, coumarins, hippuric acid, hydroxytoluenes, phenylamines, stilbenes, urolithins, valerolactones, and xanthonoids, in untargeted metabolomics datasets acquire from human plasma and urine reference materials. The DEL focusing on (poly)phenols and their metabolites of dietary exposure facilitated identification/annotation of ingested food components and their associated pathways in untargeted metabolomics datasets acquired from human biospecimens. The DEL continues to expand with the aim to provide evidence-based data for dietary metabolites in exposome research and inform the development of dietary intervention strategies.

Identification of Common Cutting Agents in Latent Fingerprints by High-Performance Liquid Chromatography – Electrospray Ionization – Quadrupole Time-of-Flight Mass Spectrometry (HPLC-ESI-qToF-MS)

Fingerprint analysis is widely used in forensic science, primarily for individualization. However, fingerprints are rich with other information pertaining to an individual’s activities; several studies have used matrix-assisted laser desorption/ionization-time of flight (MALDI-ToF) to determine these factors but have been hampered by issues such as the choice of matrix and the time-consuming preparation of samples. Consequently, most analyses are performed using high performance liquid chromatography (HPLC) triple quadrupole instruments which offer high levels of sensitivity and fragment information. These instruments are, however, low resolution which means the mass spectral data can only be expressed to 2 decimal places and require further supporting information such as retention time to ascertain the compounds in the fingerprint. This is especially true if the compounds in question are isobaric. We report a rapid and accurate method of identifying individuals that have been in contact with commonly found cutting agents via latent fingerprint analysis using liquid chromatography electrospray quadrupole time-of-flight mass spectrometry (LC-ESI-qToF-MS). This is the first publication to utilize LC-ESI-qToF-MS instrumentation in both positive and negative modes, obtaining exact mass data used to identify and confirm the presence of cutting agents in latent fingerprints. High resolution mass spectral data have been obtained, which can be reported to 4 decimal places and compared to the theoretical exact mass data of each individual component to within a 5 part per million (ppm) error limit.

Synthesis, characterization and pharmacokinetic studies of 4-(3-aryl-1, 6-dihydro-6-iminopyridazin-1-yl)butanoic acid hydrochlorides

A series of six title compounds have been prepared using 3-amino- 6-chloropyridazine as starting material collected from commercial sources and were characterized by IR, 1H NMR, and high-resolution mass spectral (HRMS) data. The method involves three steps: Suzuki-Miyaura cross-coupling reaction, N(2)-alkylation, and acid hydrolysis, respectively, to obtain final products with good yields. According to Lipinski's rule of five and Veber's rule, pharmacokinetics studies of the synthesized compounds showed that all the parameters were in between the permissible limits. The toxicity parameters were low for the compounds to act as drugs.
 J. Bangladesh Acad. Sci. 45(1); 37-47: June 2021

Environmental Source Tracking of Per- and Polyfluoroalkyl Substances within a Forensic Context: Current and Future Techniques.

The source tracking of per- and polyfluoroalkyl substances (PFASs) is a new and increasingly necessary subfield within environmental forensics. We define PFAS source tracking as the accurate characterization and differentiation of multiple sources contributing to PFAS contamination in the environment. PFAS source tracking should employ analytical measurements, multivariate analyses, and an understanding of PFAS fate and transport within the framework of a conceptual site model. Converging lines of evidence used to differentiate PFAS sources include: identification of PFASs strongly associated with unique sources; the ratios of PFAS homologues, classes, and isomers at a contaminated site; and a site's hydrogeochemical conditions. As the field of PFAS source tracking progresses, the development of new PFAS analytical standards and the wider availability of high-resolution mass spectral data will enhance currently available analytical capabilities. In addition, multivariate computational tools, including unsupervised (i.e., exploratory) and supervised (i.e., predictive) machine learning techniques, may lead to novel insights that define a targeted list of PFASs that will be useful for environmental PFAS source tracking. In this Perspective, we identify the current tools available and principal developments necessary to enable greater confidence in environmental source tracking to identify and apportion PFAS sources.

Tracking the Behavior of Monoclonal Antibody Product Quality Attributes Using a Multi-Attribute Method Workflow.

The multi-attribute method (MAM) is a liquid chromatography-mass spectrometry based method that is used to directly characterize and monitor many product quality attributes and impurities on biotherapeutics, most commonly at the peptide level. It utilizes high-resolution accurate mass spectral data which are analyzed in an automated fashion. MAM is a promising approach that is intended to replace or supplement several conventional assays with a single LC-MS analysis and can be implemented in a Current Good Manufacturing Practice environment. MAM provides accurate site-specific quantitation information on targeted attributes and the nontargeted new peak detection function allows to detect new peaks as impurities, modifications, or sequence variants when comparing to a reference sample. The high resolution MAM workflow was applied here for three independent case studies. First, to monitor the behavior of monoclonal antibody product quality attributes over the course of a 12-day cell culture experiment providing an insight into the behavior and dynamics of product attributes throughout the process. Second, the workflow was applied to test the purity and identity of a product through analysis of samples spiked with host cell proteins. Third, through the comparison of a drug product and a biosimilar with known sequence variants. The three case studies presented here, clearly demonstrate the robustness and accuracy of the MAM workflow that implies suitability for deployment in the regulated environment.

Microbial Transformation of Flavonoids in Cultures of Mucor hiemalis

Flavonoids are plant secondary metabolites that are well known for their health-promoting properties as nutraceuticals in diets. Bioavailability and biological activities of flavonoids vary among the individual subclasses with different patterns of substitution, inclusive of glycosylation, to their basic structures. Many flavonoids exist as glycosides in plants. This study investigated the possibility of glycosylation of flavonoids through biotransformation using filamentous fungi as whole-cell biocatalysts. Microbial transformations of ten flavonoids (four flavones, four flavonols, a flavanone, and an aurone) were performed in cultures of Mucor hiemalis KCTC 26779. As a result, a flavonoid glycoside was obtained which has not been described previously. The chemical structure of this product was elucidated as 6,2′-dimethoxyflavonol-3- O-β-d-glucopyranoside by analyzing 1-dimensional and 2-dimensional-nuclear magnetic resonance spectral and high-resolution electrospray ionization mass spectral data. This compound could be useful for further biological and bioavailability studies, as well as expanding the library of flavonoid derivatives.

Microbial Glycosylation of Phenanthrene and Bibenzyls by Mucor hiemalis

Microbial transformation of denthyrsinin (1), gigantol (2), and batatasin III (3), the major constituents of Dendrobium species (Orchidaceae), was performed using the filamentous fungus Mucor hiemalis KCTC 26779. Three glycosylated metabolites were obtained in the biotransformation of 1-3, and their structures were identified as denthyrsinin-6- O-β-d-glucoside (4), gigantol-5- O-β-d-glucoside (5), and batatasin III-3- O-β-d-glucoside (6) by analyzing 1-dimensional and 2-dimensional-nuclear magnetic resonance spectra, as well as high-resolution electrospray ionization mass spectral data. Among them, metabolite 4 has not been previously reported. Mucor hiemalis was revealed to catalyze enzymatically glucosylation of the hydroxyl group of phenanthrenes and bibenzyls. This research provides an efficient approach for the glycosylation of phenanthrenes and bibenzyls and can expand the library of available phenanthrene and bibenzyl derivatives for further biological evaluations.

Ethnomedicinal documentation and anti-inflammatory effects of n-butanol extract and of four compounds isolated from the stems of Pituranthos scoparius: An in vitro and in vivo investigation

Ethnopharmacological relevancePituranthos scoparius is a medicinal plant belonging to the Apiaceae family. It thrives in North Africa, and is widely distributed in the high plateau of most parts of the Sahara in Algeria. This plant is widely used in the Algerian traditional medicine to treat numerous infectious diseases, dermatoses, nervous breakdowns, digestive disorders, and calm abdominal pain. Aim of the studyThe aim of the present work was to examine the ethnomedicinal uses of Pituranthos scoparius in Setif region, Algeria, isolate and identify the chemical constituents of the n-butanol stem extract of P. scoparius (BEPS), and to determine the toxicity and anti-inflammatory effects of these compounds in addition to the extract. Materials and methodsThe anti-inflammatory effects of BEPS and the four compounds isolated from the extract were evaluated using the in vitro protein denaturation assay, whereas the topical anti-inflammatory activity was assessed using the croton oil-induced ear edema in mice. Toxicity was determined based on assessment of in vitro cytotoxicity using hemolytic activity against human red blood cells (RBCs). ResultsFour compounds, identified as the rare isorhamnetin-3-O-β-apiofuranosyl (1 → 2)-β glucopyranoside (2), in addition to three known compounds, namely isorhamnetin-3-O-β-glucoside (1), D-mannitol (3), and isorhamnetin-3-O-β-glucopyranosyl-(1 → 6)-β-glucopyranoside (4) were isolated from BEPS. These compounds were characterized by means of NMR and high-resolution mass spectral (HRMS) data. These four compounds were isolated for the first time from this traditional Algerian medicinal plant. Screening of the extract indicated the presence of alkaloids, polyphenols, flavonoids, free quinones, coumarins and tannins. Topical anti-inflammatory effect showed that the four isolated compounds, as well as BEPS, exhibit a significant (p < 0.05) dose-dependent (0.5 and 1 mg/ear) anti-inflammatory effect. At a dose of 1 mg/ear, compounds 1, 2, and 4, exhibited remarkable anti-inflammatory effect with a percentage inhibition of 85.50 ± 2.78, 79.78 ± 4.68, and 75.78 ± 2.98%, respectively. Results from in vitro cytotoxicity showed that the % lysis of the extract, along with isolated compounds was found to be virtually nontoxic. ConclusionsThese results suggest that BEPS and isolated compounds are safe, nontoxic, and exert remarkable anti-inflammatory effects, and can be new sources of natural anti-inflammatory agents.

Integration of mass spectral fingerprinting analysis with precursor ion (MS1) quantification for the characterisation of botanical extracts: application to extracts of Centella asiatica (L.) Urban.

IntroductionThe phytochemical composition of plant material governs the bioactivity and potential health benefits as well as the outcomes and reproducibility of laboratory studies and clinical trials.ObjectiveThe objective of this work was to develop an efficient method for the in‐depth characterisation of plant extracts and quantification of marker compounds that can be potentially used for subsequent product integrity studies. Centella asiatica (L.) Urb., an Ayurvedic herb with potential applications in enhancing mental health and cognitive function, was used as a case study.MethodsA quadrupole time‐of‐flight analyser in conjunction with an optimised high‐performance liquid chromatography (HPLC) separation was used for in‐depth untargeted fingerprinting and post‐acquisition precursor ion quantification to determine levels of distinct phytochemicals in various C. asiatica extracts.ResultsWe demonstrate the utility of this workflow for the characterisation of extracts of C. asiatica. This integrated workflow allowed the identification or tentative identification of 117 compounds, chemically interconnected based on Tanimoto chemical similarity, and the accurate quantification of 24 phytochemicals commonly found in C. asiatica extracts.ConclusionWe report a phytochemical analysis method combining liquid chromatography, high resolution mass spectral data acquisition, and post‐acquisition interrogation that allows chemical fingerprints of botanicals to be obtained in conjunction with accurate quantification of distinct phytochemicals. The variability in the composition of specialised metabolites across different C. asiatica accessions was substantial, demonstrating that detailed characterisation of plant extracts is a prerequisite for reproducible use in laboratory studies, clinical trials and safe consumption. The methodological approach is generally applicable to other botanical products.

Lipid Annotator: Towards Accurate Annotation in Non-Targeted Liquid Chromatography High-Resolution Tandem Mass Spectrometry (LC-HRMS/MS) Lipidomics Using A Rapid and User-Friendly Software.

Lipidomics has great promise in various applications; however, a major bottleneck in lipidomics is the accurate and comprehensive annotation of high-resolution tandem mass spectral data. While the number of available lipidomics software has drastically increased over the past five years, the reduction of false positives and the realization of obtaining structurally accurate annotations remains a significant challenge. We introduce Lipid Annotator, which is a user-friendly software for lipidomic analysis of data collected by liquid chromatography high-resolution tandem mass spectrometry (LC-HRMS/MS). We validate annotation accuracy against lipid standards and other lipidomics software. Lipid Annotator was integrated into a workflow applying an iterative exclusion MS/MS acquisition strategy to National Institute of Standards and Technology (NIST) SRM 1950 Metabolites in Frozen Human Plasma using reverse phase LC-HRMS/MS. Lipid Annotator, LipidMatch, and MS-DIAL produced consensus annotations at the level of lipid class for 98% and 96% of features detected in positive and negative mode, respectively. Lipid Annotator provides percentages of fatty acyl constituent species and employs scoring algorithms based on probability theory, which is less subjective than the tolerance and weighted match scores commonly used by available software. Lipid Annotator enables analysis of large sample cohorts and improves data-processing throughput as compared to previous lipidomics software.

Prenyleudesmanes and A Hexanorlanostane from the Roots of Lonicera macranthoides.

Three previously undescribed compounds, two prenyleudesmanes (1 and 2), and one hexanorlanostane (3), were isolated from the roots of Lonicera macranthoides. Their structures were established based on 1D and 2D nuclear magnetic resonance (NMR) spectra and high-resolution electrospray ionization mass spectral (HR-ESI-MS) data. The absolute configurations of 1 and 3 were determined by X-ray diffraction. To the best of our knowledge, this is the first time that the absolute configuration of a prenyleudesmane with a trans-decalin system and a hexanorlanostane have been unambiguously confirmed by single-crystal X-ray diffraction with Cu Kα radiation. Thecompounds were tested for their antiproliferative activity on the cancer cell lines (HepG2 and HeLa). The compounds 1–3 exhibited moderate inhibitory effects against two human cancer cell lines.

Steroid identification via deep learning retention time predictions and two-dimensional gas chromatography-high resolution mass spectrometry

Untargeted steroid identification represents a great analytical challenge even when using sophisticated technology such as two-dimensional gas chromatography coupled to high resolution mass spectrometry (GC × GCHRMS) due to the chemical similarity of the analytes. Moreover, when analytical standards, mass spectral and retention index databases are not available, compound annotation is cumbersome. Hence, there is a need for the development of retention time prediction models in order to explore new annotation approaches. In this work, we evaluated the use of several in silico methods for retention time prediction in multidimensional gas chromatography. We use three classical machine learning (CML) algorithms (Partial Least Squares (PLS), Support Vector Regression (SVR) and Random Forest Regression (RFR)) and two deep learning approaches (dense neural network (DNN) and three-dimensional convolutional neural network (CNN)). Whereas molecular descriptors were utilized for the CLM and DNN algorithms, three-dimensional molecular representation based on the electrostatic potential (ESP) was studied as input data as is for the CNN. All the developed models showed similar performances with Q2 values over 0.9. However, among all CNN showed the best performance, resulting in average retention time prediction errors of 2% and 6% for the first and second separation dimension, respectively. Additionally, only the three-dimensional ESP representation coupled with CNN was able to extract the stereochemical information crucial for the separation of diastereomers. The combination of retention time prediction and high-resolution mass spectral data applied to clinical samples enabled the untargeted annotation of 12 steroid metabolites in the urine of new-borns.

Omics Forecasting: Predictive Calculations Permit the Rapid Interpretation of High-Resolution Mass Spectral Data from Complex Mixtures.

For some complex mixtures, chromatographic techniques are insufficient to separate the large numbers of compounds present. In addition, these mixtures often contain compounds with similar or identical molecular masses and shared fragmentation transitions. Advancements in mass spectrometry have provided more and more detailed molecular profiles with significant increases in resolution. This has led to a capacity to distinguish a very large number of compounds in complex mixtures, providing overwhelming data sets. The approach of calculating molecular formulas from a mass list has become more and more problematic as the number of signals has increased exponentially, to the point that it has become impossible to manually interpret the thousands of mass signals. The current approach is to calculate a list of possible formulas that fall within a specific mass error of the observed signal. Then, one must look for possible structures that can be derived from each entry on the list of formulas. However, an alternative approach is to anticipate the possible structures of a particular set of compounds, such as red wine pigments, and then compare the ion signals against a predicted list. To that end, starting with known wine pigment types, we have generated a set of expected wine pigment variants based on known derivatives of condensed tannin oligomers, anthocyanins, and fermentation products. After the ability to distinguish compounds by mass spectrometry was accounted for, over 1 million results were generated consisting of known and anticipated wine pigments. A comparison with a small sample of wine phenolic fractions show a large number of matches, suggesting that this approach may be helpful.

Chemical Constituents of Phoebe poilanei and Their Cytotoxic Activity

Two new flavonol glycosides, rhamnocitrin 3- O-α-L-rhamnopyranosyl-(1→6)-[α-L-rhamnopyranosyl-(1→2)]-β-D-glucopyranoside (1) and quercetin 3- O-6- Z- p-coumaroyl-β-D-glucopyranosyl-(1→2)-α-L-rhamnopyranoside (2), along with 3 flavonol glycosides, isoquercitrin (3), rutin (4), and quercetin 3- O-α-L-rhamnopyranosyl-(1→6)-β-D-galactopyranoside (5), and two known sesquiterpenes, alismol (6) and spathulenol (7), were isolated from the leaves of Phoebe poilanei Kosterm. Their chemical structures were elucidated by analyses of their high-resolution electrospray ionization mass spectral data and nuclear magnetic resonance spectral data and comparison with those reported in the literature. Two sesquiterpenes 6 and 7 were found to exhibit moderate cytotoxic activity with IC50 values ranging from 21.6 to 29.8 µM.

Comprehensive chemical profiling of monascus-fermented rice product and screening of lipid-lowering compounds other than monacolins

Ethnopharmacological relevanceMonascus-fermented rice product (MFRP) has been regarded as a dietary supplement and traditional medicine with circulation-promoting effects in China and other countries for centuries. Aim of the studyThis study was carried out to profile the chemical components in MFRP, and provide available information for elucidating the potential lipid-lowering compounds other than monacolins. Materials and methodsHigh-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (HPLC-QTOF MS) and gas chromatography coupled with mass spectrometry (GC-MS) methods were applied to comprehensive analysis of chemical components in MFRP. Potential small molecules were identified by comparing with reference standards, or tentatively characterized by comparing their retention time and high-resolution mass spectral data with previous literature. The lipid-lowering properties of ten major non-monacolin compounds were evaluated in cholesterol-fed zebrafish larvae. And one with optimum lipid-lowering activity was subsequently evaluated in high fat diet-fed C57BL/6 J mice, with the dyslipidemia and ectopic lipid deposition being investigated. ResultsA total of 99 compounds were characterized in MFRP, including 38 monacolins, 5 decalins, 6 isoflavones, 13 pigments, 8 azaphilonoids, 11 amino acids, 4 nucleosides, 9 lipid acids, 4 phytosterols and glycerol. The preliminary screening showed that ergosterol remarkably reduced cholesterol levels in zebrafish larvae. Moreover, ergosterol delayed body weight gain and decreased circulating total cholesterol, triglyceride, low density lipoprotein cholesterol levels in high fat diet-fed mice. Ectopic lipid accumulation was also ameliorated in the liver and heart of obese mice. ConclusionGlobal analysis of chemical components and screening of lipid-lowering non-monacolin compounds in MFRP have improved our understanding of its therapeutic material basis.

Desorption electrospray ionization-high resolution mass spectrometry for the analysis of unknown materials: The phytosanitary product case

In this work, we tested the potential of desorption electrospray ionization-high resolution mass spectrometry (DESI-HRMS) for the analysis of unknown materials. To this end, our study focused on analyzing an unknown complex sample suspected of being an adulterated phytosanitary product or a fraud. A simple and fast sample manipulation procedure (filter paper impregnated with the sample) was used for the chemical characterization of the phytosanitary product by DESI-HRMS(/MS). Kendrick Mass Defect (KMD) analysis was used to process the DESI high-resolution mass spectral data, allowing the identification of a low molecular weight polymer (polyethylene glycol) and the detection of other ions, which did not follow polymer distributions. The characteristic isotope patterns of these ions suggested the presence of organometallic compounds. Accurate mass measurements, isotope pattern fits and the structural information obtained by DESI-MS/HRMS (wide isolation window) allowed identifying the presence of triphenyltin, a biocide extensively used for agricultural purposes and restricted by the European Commission, in the phytosanitary product. The concentration of triphenyltin in the sample was 35%, which corresponds to ∼12% expressed as weight of tin, 120 times higher than the maximum legislated level.