MS Library Research Articles

Phytochemical and volatile components evaluation of antimicrobial root extracts of <i>Dichrostachys cinerea</i> (sickle bush)(<i>Fabaceae</i>) (L) Wight & Arn

The crude ethanolic extract of the root of Dichrostachys cinerea (Fabaceae) was screened for phytochemicals and antimicrobial activity against Staphylococcus aureus, Escherichia coli, Pseudomonas aureginosa, Salmonella typhi, and Candida albicans using agar-well diffusion method. The phytochemical screening of the root extract results showed the presence of alkaloids, flavonoids, essential oils, phenols, terpenes, tannins, unsaturated sterols, and saponins. However, coumarins, and anthocyanins were absent. The crude extract was subjected to column chromatographic fractionation to give nine fractions of which two, DCR1 and DCR2, were subjected to gas chromatography-mass spectrometry (GC-MS) analysis. The crude extract and column chromatographic fractions DCR1 and DCR2 gave MIC of 1 mg/mL against Staphylococcus aureus, but were not active against the other test organisms. The gas chromatography-mass spectrometry analysis of the antibacterial fractions, DCR1 and DCR2, based on standard MS library data revealed the presence of caryophellene, phthalates, a phenol and fatty acids and their ester derivatives. These phytoconstituents could account for the biological properties of the extracts of the plant. The results of this work therefore support its use in ethno-medicinal preparations, particularly against infections.

Identification of organic contaminants in water and related matrices using untargeted liquid chromatography high-resolution mass spectrometry screening with MS/MS libraries

Nontargeted and suspect screening with liquid chromatography-high resolution mass spectrometry (LC-HRMS) has become an indispensable tool for quality assessment in the aquatic environment – complementary to targeted analysis of organic (micro)contaminants. An LC-HRMS method is presented, suitable for the analysis of a wide variety of water related matrices: surface water, groundwater, wastewater, sediment and sludge, including extracts from passive samplers and on-site solid phase enrichment, while focusing on the data processing aspect of the method. A field study is included to demonstrate the practical application and versatility of the whole process. HRMS/MS data were recorded following LC separation in both (ESI) positive and negative ionization modes using data dependent as well as data independent acquisition. Two vendor (Agilent's Personal Compound Database and Library and from National Institute of Standards and Technology) and one open (MassBank/EU) tandem mass spectral libraries were utilized for the identification of compounds via mass spectral match. The development of a novel software tool for parsing, grouping and reduction of MS/MS features in data files converted to mascot generic format (MGF) helped to substantially decrease the amount of time and effort needed for MS library search. While applying the method, in the course of the entire field study, 18771 detections (from 870 individual compounds) in total were recorded in 275 samples, resulting in 68.3 identified compounds per sample, on average. Among the top ten most frequently detected contaminants across all samples and sample types were pharmaceutical compounds carbamazepine, 4-acetamidoantipyrine, 4-formylaminoantipyrine, tramadol, lamotrigine and phenazone and industrial contaminants toluene-2-sulfonamide, tolytriazole, tris(2-butoxyethyl) phosphate and benzotriazole. Exploratory data analysis methods and tools enabled us to discover organic pollutant occurrence patterns within the comprehensive sets of qualitative data collected from various projects between the years 2018–2023. The results may be used as valuable inputs for future water quality monitoring programs.

Rapid Identification of Phytotoxins Produced by Glomerella cingulata Using High-Resolution Mass Spectrometry-Based Qualification, Targeted Structural Confirmation and Their Characteristics Investigation.

Glomerella cingulata is a pathogenic fungus that can cause apple Glomerella leaf spot (GLS), a new and destructive apple disease in China. Phytotoxins are important factors closely related to the disease process, but there is still no report on the phytotoxins of G. cingulata. The aim of this study was to rapidly identify the phytotoxins of this pathogen using a strategy of HRMS-based preliminary qualification, followed by targeted structure confirmation and also investigation of phytotoxicity characteristics. First, the crude toxin sample was directly analyzed by the UPLC-HRMS and GC-MS, and the data were processed to screen for possible phytotoxic compounds using MS library and the phytotoxicity-related literature. The reference standards of credible phytotoxic compounds were then subjected to targeted structure validation (signal comparison between standards and compounds in crude toxin via HPLC-DAD, UPLC-MS/MS, and GC-MS), and also the phytotoxicity assay. The results confirmed six phytotoxins produced by G. cingulata, namely 5-hydroxymethyl-2-furancarboxylic acid (HMFCA), 2,5-bis(hydroxymethyl)furan (BHMF), 2-furoic acid (FA), 2,3-butanediol, trans-aconitic acid (TAA), and cis-aconitic acid (CAA). Of these, HMFCA and TAA exhibited greater phytotoxicity. Main characteristics: All of them were non-host-selective toxins, and toxins were synergistically phytotoxic to the host when mixed. BHMF, HMFCA, FA, TAA, and CAA could be commonly produced by all tested strains, and their phytotoxicity can be significantly inhibited or even eliminated at high temperatures or high pH. The elucidation of the phytotoxins of G. cingulata in this work could provide information on the pathogenesis and control of apple GLS.

Application of a molecular networking approach using LC-HRMS combined with the MetWork webserver for clinical and forensic toxicology

Backgrounds and aimsIn toxicology, LC-HRMS for untargeted screening yields a great deal of high quality spectral data. However, there we lack tools to visualize/organize the MS data. We applied molecular networking (MN) to untargeted screening interpretation. Our aims were to compare theoretical MS libraries obtained in silico with our experimental dataset in patients to broaden its application, and to use the MetWork web application for metabolite identification. MethodsSamples were analyzed using an LC-HRMS system. For MN, data was generated using MZmine, and analyzed and visualized using MetGem. MetWork annotations were filtered and this file was used for annotation of the previously obtained MN. Results155 compounds including drugs found in patients were recorded. Using this dataset, we confirmed in 60 patients intake of tramadol, amitriptyline bromazepam, and cocaine. The results obtained by the reference methods were confirmed by MN approaches. Eighty percent of the compounds were common to both conventional and MN approaches. Using MetWork, metabolites and parent drugs such as amitriptyline, its metabolite nortriptyline and amitriptyline glucuronide phase 2 metabolites were anticipated and proposed as putative annotations. ConclusionThe workflow increases confidence in toxicological screening by highlighting putative structures in biological matrices in combination with CFM-ID (Competitive Fragmentation Modeling for Metabolite Identification) and MetWork to extend the annotation of potential drugs even without a reference standard.

Purification of Potential Antimicrobial Metabolites from Endophytic Fusarium oxysporum Isolated from Myrtus communis.

The rise of microbial resistance and emerging infections pose significant health threats. Natural products from endophytic fungi offer a promising source of novel compounds with the potential as major drug leads. This research aims to screen Myrtus communis and Moringa oleifera for endophytic fungi and screen their metabolites for antibacterial and antifungal potential. Six endophytic fungal strains were isolated using a potato dextrose agar (PDA) medium. The M. communis isolates were designated MC1, MC2, and MC3, and the M. oleifera isolates were named MO1, MO2, and MO3. Preliminary bioactivity testing revealed that the MC3 isolate exhibited significant growth inhibition against multidrug-resistant bacterial and fungal pathogens, including Staphylococcus aureus, Enterococcus faecalis, Bacillus subtilis, Pseudomonas aeruginosa, Escherichia coli, Candida albicans, and Candida glabrata. The MC3 isolate was identified as Fusarium oxysporum through morphological and microscopic methods. For metabolite production, the fungal strain was cultured in potato dextrose broth (PDB) medium at 28°C for 14days in a shaking incubator. The metabolites were purified using various chromatographic techniques, HPLC and GC-MS. The GC-MS analysis of the bioactive compound containing fungal strain (F. oxysporum) revealed multiple compounds at different retention times using the NIST-20 Library. Based on RSI values and probability indices, two compounds were targeted for further purification. Structure elucidation was performed using 1D and 2D nuclear magnetic resonance (NMR) experiments on a Varian 500 NMR machine. The compounds identified were ethyl iso-allocholate (C26H44O5, exact mass 436.32) and 1-monolinoleoyl glycerol trimethylsilyl ether (C27H56O4Si2, exact mass 500.37). The MS (NIST-20) library facilitated the investigation of the in silico antimicrobial activity of these compounds against the elastase virulence protein of P. aeruginosa and protease Sapp1p from C. parapsilosis. Both the compounds were docked with druggable proteins using the Glide induced fit docking (IFD) algorithm. The ethyl iso-allocholate and 1-monolinoleoyl glycerol trimethylsilyl ether compounds showed binding scores - 10.07kcalmol-1 and - 7.47kcalmol-1 against elastase, and - 8.16kcalmol-1 and - 6.89kcalmol-1 against aspartic protease, respectively. In vitro studies confirmed the inhibitory activity of these compounds against multidrug-resistant P. aeruginosa and E. faecalis. Ethyl iso-allocholate exhibited higher bioactivity against P. aeruginosa with inhibition rates of 41%, 27%, and 35% at concentrations of 1000, 500, and 250µgmL-1, respectively. These results suggest that bioactive compounds from F. oxysporum have the potential as antimicrobial agents, warranting further research.

High Diversity of Curtobacterium flaccumfaciens in Poinsettia and Detection of Three Pathogenicity Plasmids for Identification of C. flaccumfaciens pv. poinsettiae

Outbreaks in Europe have raised concerns about poinsettia bacterial canker caused by Curtobacterium flaccumfaciens pv. poinsettiae, described in the United States. Using a semiselective medium containing aztreonam and fosfomycin and selection during isolation based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) spectra, 424 Curtobacterium strains were isolated from Belgian poinsettias of African and European origin. Different populations coexisted: 130 strains were identified as C. flaccumfaciens with scores ≥2.0 and 294 with scores <2.0 or as another Curtobacterium. MALDI-TOF MS libraries constructed using similar medium and extraction procedure and a pathogenicity test on poinsettia were used to screen collections from poinsettia and wheat, a possible alternative host, for C. flaccumfaciens pv. poinsettiae. The concatenated recA- gyrB partial sequences showed that 114 poinsettia or wheat strains belonged to different Curtobacterium species. Eighty-eight nonpathogenic strains and four U.S. strains from litter were intermingled with bean pathogenic C. flaccumfaciens pv. flaccumfaciens strains in the three genetic groups of C. flaccumfaciens but lacked their pathogenicity markers. Four new European recA- gyrB sequatypes of C. flaccumfaciens pv. poinsettiae, obtained from symptomatic and asymptomatic poinsettias, were distinguished from three American sequatypes. Six sequatypes were pathogenic in tests, belonged to genetic groups related to two different genomospecies, and possessed a plasmid. Sequencing of six plasmids revealed three related plasmids containing proteases and a polygalacturonase found only in strains pathogenic in pathogenicity tests and specifically identified by polygalacturonase-based PCR and loop-mediated isothermal amplification assays. Similarities between plant and litter Curtobacterium and the role of plasmids in pathogenicity and punctual transmission of pathogenicity among heterogeneous C. flaccumfaciens are suggested.

Mass spectral characterisation of cyclic oligoesters in a biodegradable mulch film.

Plastic mulch film manages weed growth and moisture loss on the surface of cropping beds. The chemical components of such plastics include polymer(s), additives and non-intentionally added substances (NIASs). The unknown chemical nature and behaviours of these constituents require investigation due to their potential to add to the anthropogenic chemical burden in the agrifood system. Solvent extracts of a commercial 15% polylactic acid (PLA)/85% poly(butylene adipate-co-terephthalate) mulch film were investigated using gas chromatography-mass spectrometry (GC-MS) with electron ionisation to characterise the additive and NIAS components. The obscurity of some of the NIASs meant their identification was not readily achieved through routine MS library comparisons. As such, the identification of several polymer-derived compounds required interpretation of the MS data and re-application of the derived fragmentation patterns with reference to the wider literature. Unknowns were confirmed using commercially available compounds. Unknown NIASs were identified as cyclic oligoesters comprised of the monomeric building blocks of the polymer system. Cyclic structures derived from the monomers of polybutylene adipate (PBA) and polybutylene terephthalate (PBT) fragmented through a primary pathway involving 1,5- and 1,3-H transfers at ester linkages. Characteristic ions at m/z 111, 129, 183 and 201 for PBA-derived cyclic oligoesters and m/z 104, 132, 149 and 221 for PBT-derived cyclic oligoesters were assigned in the mass spectra of unknowns. Cyclic oligoesters containing sebacate moieties were also identified, indicating the presence of polybutylene sebacate as an unexpected component of the mulch. Systematic analyses of the sort reported here are valuable for providing alternative approaches for the identification of plastic-related chemicals. Open publication of MS spectral data is required to build a greater understanding of the mulch film chemical components contributing to the environmental chemical load introduced to agroecosystems.

Comparison of MALDI-TOF mass spectrometry and 16S rDNA sequencing for identification of environmental bacteria: a case study of cave mussel-associated culturable microorganisms.

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is routinely used as a rapid and cost-effective method for pathogen identification in clinical settings. In comparison, its performance in other microbiological fields, such as environmental microbiology, is still being tested, although isolates of environmental microbes are essential for in-depth in vivo studies of their biology, including biotechnological applications. We investigated the applicability of MALDI-TOF MS for the identification of bacterial isolates from a highly oligotrophic environment-Dinaric Karst caves, which likely harbor specific microorganisms. We cultured bacteria from the shell surface of the endemic mussel Congeria jalzici, one of the three known cave mussels in the world that lives in the Dinaric karst underground. The bacterial isolates were obtained by swabbing the shell surface of mussels living in microhabitats with different amounts of water: 10 air-exposed mussels, 10 submerged mussels, and 10 mussels in the hygropetric zone. A collection of 87 pure culture isolates was obtained, mostly belonging to the phylum Bacillota (72%), followed by Pseudomonadota (16%), Actinomycetota (11%), and Bacteroidota (1%). We compared the results of MALDI-TOF MS identification (Bruker databases DB-5989 and version 11, v11) with the results of 16S rDNA-based phylogenetic analysis, a standard procedure for bacterial identification. Identification to the genus level based on 16S rDNA was possible for all isolates and clearly outperformed the results from MALDI-TOF MS, although the updated MALDI-TOF MS database v11 gave better results than the DB-5989 version (85% versus 62%). However, identification to the species-level by 16S rDNA sequencing was achieved for only 17% of isolates, compared with 14% and 40% for the MALDI-TOF MS databases DB-5989 and v11 database, respectively. In conclusion, our results suggest that continued enrichment of MALDI-TOF MS libraries will result with this method soon becoming a rapid, accurate, and efficient tool for assessing the diversity of culturable bacteria from different environmental niches.

Enhancing terpene and other plant volatiles analysis – A free spreadsheet tool “Retentify” for GC–MS data processing

Despite significant progress in gas chromatography-mass spectrometry (GC–MS), misidentifications still occur, especially in untargeted analyses of complex samples of plant origin. In addition to using reference materials, a common approach to confirm identifications is to employ linear retention indices (LRIs). Ideally, when LRI validation is made automatically by the software using accurate library data. However, present solutions in this area either require additional payment or have many constraints. As a result, reference LRIs are often not included in search algorithms, or if they are, library LRI values may not be matched to the selectivity of the column used. Many GC–MS analyses are conducted without LRI comparison, or the comparison is performed after an MS library search. Such a manual examination is highly laborious, especially for datasets containing hundreds or more components. Therefore, an easy-to-use spreadsheet tool was developed to be used after an MS library search. The tool called Retentify, among other features, can: (1) calculate the experimental RIs, (2) retrieve automatically reference RIs from the reliable compilation of Babushok et al. (NIST), considering an appropriate selectivity of the column, (3) compute experimental LRIs errors and indicate the potential mismatch in the red/yellow/green color scale. Retentify is thoroughly described and demonstrated in the analysis of true lavender (Lavandula angustifolia) essential oil. The uniqueness of this tool lies in its reliance on highly accurate, averaged retention data provided by NIST, automatic input of reference LRIs based on CAS, and visuals to help LRI evaluation. The tool is easy to use and requires no financial and minimal time investment to learn, making it accessible to any researcher without specialization in plant volatile analysis.

Determination of polycyclic aromatic compounds from a solid-waste dumpsite fire smoke using hollow-fibre membranes sampling coupled to gas chromatography and mass spectrometry

ABSTRACT Improperly managed solidwaste dumpsites are a potential time bomb as these can pose serious deleterious hazards to the neighbouring communities. This was the case in Maseru Lesotho one warm afternoon when the dumpsite caught fire with no clear human activity, producing dark smoke that covered the residential area around the site. The current study reports the use of simple passive samplers composed of polypropylene hollow fibre membranes impregnated with dodecane for screening of polycyclic aromatic hydrocarbons in this dumpsite fire smoke. The fibres were suspended at different sampling locations at the dumpsite and inside and outside the surrounding households and left there to sample for 6 hours after which 1-cm pieces were placed in headspace vials for desorption and further analysed by gas chromatography and mass spectrometry. The detected compounds were annotated using the NIST 2017 MS library comparison and the following compounds were found: acenaphthene, naphthalene, biphenylene, flourene, phenanthrene, flouranthene, benzoflouranthene, pyrene and clopentapyrene. Given there were no standards available, the compounds could not be quantified. Nonetheless, the results demonstrated the potential for a simple hollow-fibre liquidphase microextraction technique for use in the screening of PAHs in smoke. Most importantly, they reflect the importance of negative impact of the dumpsite smoke being so rich in these compounds that have been classified as carcinogens.

Development of qualitative GC MS method for simultaneous identification of PM-CCM a modified illicit drugs preparation and its modern-day application in drug-facilitated crimes

Prescriptions for psychoactive substances such as Pregabalin, Methamphetamine, Caffeine, Clonazepam and Mirtazapine (PM-CCM) are common in the treatment of a variety of disorders. Indeed, the PM-CCM has been used in different therapeutic areas, including insomnia, anxiety, seizure disorders, etc. Unfortunately, these psychoactive substances are present in the illegal street market, leading to a lot of drug abuse among some addicted users, road insecurity and suicide. Hence, it has become essential to validate and develop a rapid and effective method to analyze the PM-CCM, a modified illicit drug, for drug abuse in the forensic sciences. A simple, rapid, specific and sensitive Gas Chromatography-Mass Spectrometry(GC-MS) method has been developed for the identification of Pregabalin, Methamphetamine, Caffeine, Clonazepam and Mirtazapine (PM-CCM) in forensic exhibits. At room temperature, the sample was ultrasonicated for 5 minutes before being extracted with methanol. A highly precise auto-injector is used to inject a very small quantity of samples for analysis. Helium is used as a carrier gas with a flow rate of 1 ml/min. The separation of PM-CCM was performed on SH-RXi-5 MS, ID.25 mm, film thickness. 25 µm, length of 30 m column. The constituents of PM-CCM were identified by the mass-to-charge ratio (m/z ratio) of fragments of the parent compound by comparing them with the NIST-17 MS Library. Separation and identification of PM-CCM were achieved within a 15-minute run. The proposed method has been successfully used for the routine analysis of PM-CCM in complex illicit drug preparations and in forensic exhibits as well. The application of above discussed qualitative analysis method and screening of PM-CCM, modified illicit drug samples demonstrates the potential and applicability of the technique to the fast chemical profiling of illicit samples.

A MALDI-TOF MS library for rapid identification of human commensal gut bacteria from the class Clostridia.

Microbial isolates from culture can be identified using 16S or whole-genome sequencing which generates substantial costs and requires time and expertise. Protein fingerprinting via Matrix-assisted Laser Desorption Ionization-time of flight mass spectrometry (MALDI-TOF MS) is widely used for rapid bacterial identification in routine diagnostics but shows a poor performance and resolution on commensal bacteria due to currently limited database entries. The aim of this study was to develop a MALDI-TOF MS plugin database (CLOSTRI-TOF) allowing for rapid identification of non-pathogenic human commensal gastrointestinal bacteria. We constructed a database containing mass spectral profiles (MSP) from 142 bacterial strains representing 47 species and 21 genera within the class Clostridia. Each strain-specific MSP was constructed using >20 raw spectra measured on a microflex Biotyper system (Bruker-Daltonics) from two independent cultures. For validation, we used 58 sequence-confirmed strains and the CLOSTRI-TOF database successfully identified 98 and 93% of the strains, respectively, in two independent laboratories. Next, we applied the database to 326 isolates from stool of healthy Swiss volunteers and identified 264 (82%) of all isolates (compared to 170 (52.1%) with the Bruker-Daltonics library alone), thus classifying 60% of the formerly unknown isolates. We describe a new open-source MSP database for fast and accurate identification of the Clostridia class from the human gut microbiota. CLOSTRI-TOF expands the number of species which can be rapidly identified by MALDI-TOF MS.

Structural Identification of Chemical Constituents Isolated from Root Extracts of Jurinea Dolomiaea Boiss (Astraceae) by Chromatographic and Spectroscopic Methods

Phytochemical screening of the extracts has shown the presence of steroids, flavonoids, saponins, glycosides, tannins, phenolic compounds, fixed oils, and fats in Jurinea dolomiaea root extracts. The presence of lupeol has been reported previously by us using high-performance thin-layer chromatography and high-performance liquid chromatography. Present research studies encompasses identification of chemical constituents in Jurinea dolomiaea roots of methanol extracts by hyphenated technique such as gas chromatography-mass spectroscopy (MS) which when coupled gives a clear insight of constituents. The components were identified by matching mass spectra with MS libraries. There were 5 different compounds analyzed from Jurinea dolomiaea roots. The identified components are (2,4-ditert-butylphenyl)-5-hydroxypentanoate, 2‑ethylhexylheptadecyl sulphite, 6-methyltridecane, (9E, 12E)-9,12-Octadecadienoyl chloride, Linoleic acid chloride, linoleoyl chloride, Lup-20 (29)-en-3-ol Lup‑20(29)‑en‑3β‑ol Lup‑20(29)‑en‑3α‑ol Lupeol, (3α)‑isomer Lupeol, (3β,18β,19β)‑isomer, in Jurinea dolomiaea root extracts.

Antimicrobial Bioactivity and GC-MS Analysis of Different Extracts of Corchorus olitorius L Leaves.

Results Crude extracts of Corchorus olitorius L leaves and their TLC-separated components demonstrated bioactivity against Staphylococcus aureus (14 mm), Streptococcus pneumoniae (16 mm), and Escherichia coli (11 mm) but neither against Candida albicans nor Mycobacteria tuberculosis. However, the overall zones of inhibition were smaller compared to the positive control (≥18 mm). GC-MS analysis of the active components revealed the presence of methyl esters. Conclusion Corchorus olitorius L is bioactive against both Gram-negative and Gram-positive bacteria but neither against fungi nor mycobacteria. The bioactivity is attributable to the presence of methyl esters. Since methyl esters already have proven bioactivity in some studies, they could be further studied and optimized for possible pharmaceutical use. Further, to provide a more comprehensive antimicrobial spectrum of Corchorus olitorius L in Uganda, purified active components could be investigated using a wider range of organisms.

Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis

A UHPLC-QTOF-MS method was developed to separate and identify 70 triterpenes present in each of the 18 strains of Ganoderma spp. Collected from various parts of India. A PCDL MS library was used to retrieve and identify these 70 triterpenes by meticulous analysis of MS/MS fragments. The MS data from these 18 strains were further statistically analysed to arrive at meaningful conclusions. Heatmap analysis suggested that Ganoderma spp. G44, G25 and G36 were the top three strains of Ganoderma mushrooms based on their metabolic concentration in Indian biota. From the PCA loading plot, it was observed that the triterpenes Ganoderic acid A, Ganoderic acid D, Ganoderic acid F, Ganoderic acid J, Ganoderic acid M, Ganoderic acid N, Ganoderenic acid B, Ganoderiol H, 3β,7β-Dihydroxy-11,15,23-trioxo-lanost-8,16-dien-26-oic acid, 3β,7β,15β-trihydroxy-11,23-dioxo-lanost-8,16-dien-26-oic acid and 20 - hydroxy ganoderic acid AM1 were identified as the principal contributors for the discrimination of a particular strain of the mushroom. We have also identified the samples obtained from different regions of India with the highest concentration of metabolites with potent biological activity. The results presented here could be very helpful for both scientific and industrial applications such as quality control of various medicines and food additives containing triterpenes.

Rapid screening and identification of 62 kinds of illegally added traditional Chinese medicine in food by high performance liquid chromatography coupled with quadrupole-time of flight mass spectrometry

建立了高效液相色谱-四极杆-飞行时间质谱快速筛查鉴别食品中非法添加的62种中药材的方法。依据卫生部关于进一步规范保健食品原料管理的通知(卫法监发[2002]51号)中可用于保健食品的物品名单,确定食品中可能非法添加的62种中药材原料清单,再从62种中药材中筛选其特征组分,获得不同中药材对应的特征组分清单。62种对照药材经甲醇超声提取后,于Thermo Accucore aQ色谱柱(150 mm×2.1 mm, 2.6 μm)上分离,在电喷雾正负离子扫描模式下,分别以0.1%(v/v)甲酸水溶液-乙腈和水-乙腈为流动相梯度洗脱,进行一级质谱和二级质谱全扫描检测,采用Library View软件建立不同中药材对应的特征组分的一级精确质量数据库和二级碎片质谱库。样品同法处理后上样分析,采用Peak View软件将样品高分辨数据与自建数据库中的质谱图、精确分子离子质量数、碎片离子质量数、保留时间等相关参数进行快速筛查鉴别分析。该工作通过建立“中药材-特征组分”对应清单,构建了食品中易非法添加的62种中药材中共388种特征组分的高分辨质谱库,每种中药材包括5~10种特征组分,通过对实际食品样品配制酒、代用茶及饮料进行筛查分析,1批次配制酒样品与淫羊藿中药材的7种特征组分匹配一致,推断该配制酒样品中加入了淫羊藿中药材。该法可实现无标准品情况下中药材的定性筛查,具有高通量、准确、简便、快捷的特点,解决了食品中非法添加中药材难以识别和确证的难题,可以实现食品中非法添加中药材的快速筛查鉴别分析。

An exploratory MALDI-TOF MS library based on SARAMIS superspectra for rapid identification of Aspergillus section Nigri.

Matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) is a broadly used technique for identification and typing of microorganisms. However, its application to filamentous fungi has been delayed. The objective of this study was to establish a data library for rapid identification of the genus Aspergillus sect. Nigri using MALDI-TOF MS. With respect to sample preparation, we compared the utility of using mature mycelia, including conidial structures, to accumulate a wider range of proteins versus the conventional method relying on young hyphae. Mass spectral datasets obtained for 61 strains of 17 species were subjected to cluster analysis and compared with a phylogenetic tree based on calmodulin gene sequences. Specific and frequent mass spectral peaks corresponding to each phylogenetic group were selected (superspectra for the SARAMIS system). Fifteen superspectra representing nine species were ultimately created. The percentage of correct identification for 217 spectra was improved from 36.41% to 86.64% using the revised library. Additionally, 2.76% of the spectra were assigned to candidates that comprised several related species, including the correct species.

Variable Secondary Metabolite Profiles Across Cultivars of Curcuma longa L. and C. aromatica Salisb.

Background: Curcuma spp. (Zingiberaceae) are used as a spice and coloring agent. Their rhizomes and essential oils are known for medicinal properties, besides their use in the flavoring and cosmetic industry. Most of these biological activities were attributed to volatile and nonvolatile secondary metabolites present in the rhizomes of Curcuma spp. The metabolite variations among the species and even cultivars need to be established for optimized use of Curcuma spp. Objectives: We compared the phytochemical profiles of rhizomes and their essential oils to establish the variability among seven cultivars: five of Curcuma longa L. (Alleppey Supreme, Duggirala Red, Prathibha, Salem, Suguna) and two of C. aromatica Salisb. (Kasturi Araku, Kasturi Avidi). The GC-MS and LC-MS-based analyses were employed to profile secondary metabolites of these selected cultivars. Methods: Rhizomes of Curcuma spp. were subjected to hydro-distillation to collect essential oil and analyzed by GC-MS. The methanol extracts of fresh rhizomes were subjected to LC-MS analyses. The compounds were identified by using the relevant MS library databases as many compounds as possible. Results: The essential oil content of the cultivars was in the range of 0.74–1.62%. Several compounds were detected from the essential oils and rhizome extracts by GC-MS and LC-MS, respectively. Of these, 28 compounds (13 from GCMS and 15 from LCMS) were common in all seven cultivars, e.g., α-thujene, and diarylheptanoids like curcumin. Furthermore, a total of 39 new compounds were identified from C. longa L. and/or C. aromatica Salisb., most of them being cultivar-specific. Of these compounds, 35 were detected by GC-MS analyses of essential oils, 1,2-cyclohexanediol, 1-methyl-4-(1-methylethyl)-, and santolina alcohol, to name a few. The other four compounds were detected by LC-MS of the methanolic extracts of the rhizomes, e.g., kaempferol-3,7-O-dimethyl ether and 5,7,8-trihydroxy-2′,5′-dimethoxy-3′,4′-methylene dioxyisoflavanone. Conclusions: We identified and recorded the variability in the metabolite profiles of essential oils and whole rhizome extracts from the seven cultivars of Curcuma longa L. and C. aromatica Salisb. As many as 39 new metabolites were detected in these seven Indian cultivars of Curcuma spp. Many of these compounds have health benefits.

A series of esters of diastereomeric menthols: Comprehensive mass spectral libraries and gas chromatographic data

A comprehensive data collection of mass spectral and gas chromatographic data of a series of esters of diastereomeric menthols (menthol, isomenthol, neomenthol, and neoisomenthol), in total 150 chemical entities, obtained by GC–MS on commonly used capillary columns of different polarity (non-polar HP-5MS and polar HP-Innowax), was created. Also, MS libraries containing electron ionization MS recorded on single quadrupole as well as on quadrupole ion-trap mass detectors together with the RIs on non-polar and polar columns were compiled (available as supplementary materials). The results point out to frequent misidentification of neoisomenthyl acetate as isomenthyl acetate in the literature, and the means of how to resolve this issue was suggested. The outcomes of this study provide chemists and food technologists with a useful tool in the field of food analysis of compounds with important food aroma properties.

MALDI-TOF mass spectrometry and high-resolution melting PCR for the identification of Mycoplasma bovis isolates

BackgroundMycoplasma bovis is an important pathogen of cattle worldwide. Many different clinical manifestations of infection can occur, including respiratory disease, arthritis, and mastitis, causing heavy losses to beef and dairy industries. Because Mycoplasma species are slow-growing and fastidious, traditional identification methods are not cost- or time-effective, and improved methods are sought to streamline laboratory processes. High-resolution melting PCR (HRM-PCR) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) are 2 relatively recent tools that are rapid and inexpensive to use; we tested 9 isolates of M. bovis using both assays. The HRM-PCR assay used universal mycoplasma primers for the 16S–23S intergenic spacer region (IGSR).ResultsThe resulting melting profiles of the field isolates were indistinguishable from the reference strain, indicating accurate identification. For the MALDI-TOF MS, each M. bovis isolate was accurately identified. Mycoplasma arginini and Mycoplasma alkalescens isolates did not identify as M. bovis when tested by either assay.ConclusionsOur work shows that either assay could be used to identify unknown M. bovis isolates. For future work, the MALDI-TOF MS library should be expanded to include more mycoplasmas, and the HRM-PCR assay should be tested on additional mycoplasmas to ensure that the melting profiles are sufficiently distinctive.