Mass Spectral Database Research Articles

Urine metabolomics of women from small villages exposed to high environmental cadmium levels.

The present study aimed to identify urine metabolites in women exposed to high cadmium (Cd) levels. Twenty-one women exposed to environmental Cd and 12 age-matched controls were categorized as high exposure (urine Cd ≥ 15 μg/g creatinine; n = 9) or low exposure (15 μg/g creatinine > urine Cd > 5 μg/g creatinine; n = 12). Low-molecular weight metabolites in urine were analyzed by gas chromatography and mass spectrometry after derivatization. An orthogonal partial least-squares discriminant analysis model was constructed, and metabolites from the dimensional model were selected according to the variable importance in projection (>1). Metabolites differing significantly in abundance between different exposure groups were identified by searching mass spectral databases, and related pathways were analyzed using the Kyoto Encyclopedia of Genes and Genomes. Approximately 110 significantly different metabolites were detected with variable importance in projection > 1, and 48 of them were found to differ markedly in abundance among the 3 groups. Twenty-seven matched with known metabolites, including 22 significantly increased and 5 markedly decreased in the high-exposure group (p < 0.01). Kyoto Encyclopedia of Genes and Genomes results indicated that carbohydrate, amino acid, bone, and intestinal flora metabolism and the tricarboxylic acid cycle were affected by Cd exposure. The present study identified metabolites that differed in abundance in response to Cd exposure. Further studies may connect these biomarkers to early damage caused by Cd.

Biotransformation of progesterone to valuable steroids by isolated strain of Streptomyces

Introduction and purpose The possibility of using of novel marine actinomycetes as a source of production of some industrially important hydroxyl steroid derivatives in one-step biotransformation process of progesterone was investigated in this study. Materials and methods Genomic DNA of the actinomycetes isolate was extracted using GeneJET Genomic DNA purification kit. The actinomycetes isolate was identified by 16S rDNA. The molecular sizes of amplified regions were confirmed using agarose gel electrophoresis. The identified Streptomyces strain was inoculated into the transformation medium, which was supplemented with progesterone as a substrate (5 mg/50 ml medium). The transformation products were separated and characterized on the basis of their infrared/nuclear magnetic resonance/mass spectrometry analysis as pregnenolone (1), 3β-hydroxyandrost-4-ene-17-one (2), and testosterone (3). Results and conclusion Because of the excellent track record of actinomycetes in this regard, new actinomycetes strain isolated from marine sources was used in this investigation. The isolated strain was identified by 16S rDNA. The 16S rDNA region was amplified using PCR (about 500 bp) using universal primers. According to sequencing similarities and multiple alignments, the isolate was found to be closely related to Streptomyces tunisiensis strain CN-207 with 98% identity. The infrared spectrum, 1H-nuclear magnetic resonance, and mass spectral database was used in the identification of the three isolated compounds 1, 2, and 3. The isolated steroid molecules from the total extract (0.3 g) are pregnenolone (1), 3β-hydroxyandrost-4-ene-17-one (2), and testosterone (3).

HPLC Determination of the Alkamide Affinin in Fresh and Dry Roots of Heliopsis longipes (Asteraceae) and HS-SPME-GC-MS-TOF Analysis of Volatile Components

Heliopsis longipes (Asteraceae) is a plant whose roots are commonly used in Mexican cuisine as a substitute for hot pepper. This plant is also used in traditional medicine for its therapeutical properties. Previous reports detected the presence of affinin—an alkamide with analgesic properties—in extracts of H. longipes. Here, we describe the development of a high-performance liquid chromatography-UV detector method for the determination of the alkamide affinin (1) as the major component in fresh and dry roots of H. longipes. Compound 1 was quantitatively determined employing a Kromasil 100 C18 3 μm particle size column, using the isocratic mobile phase acetonitrile-water (55 + 45). The flow rate was 0.8 mL/min and the UV detection was at 213 nm. The limits of detection and quantitation were 0.0009 and 7.6 μg/mL, respectively. Compound 1 showed good linearity in the 75 to 150 μg/mL range; recovery was within 99.3 and 101.9 %. Quantities of affinin measured by this method ranged between 6.9 and 8.5 mg per gram of the dry and fresh roots; thus 1 could be used as marker for H. longipes. The LC method described here proved to be reliable, reproducible, accurate, and could be used for quality control of H. longipes medicinal materials. In addition, its volatile chemical composition is described and was assessed via GC-MS using headspace solid-phase microextraction; compounds were identified by matching against the standard mass spectral database of the National Institute of Standards and Technology (NIST). Twenty-eight recognized compounds represent 99.9 % of the total relative content of constituents from H. longipes roots.

High resolution mass spectrometry for structural identification of metabolites in metabolomics

High resolution mass spectrometry (HRMS) is increasingly used to produce metabolomics data. Thanks to its high mass resolution and mass measurement accuracy, it is also very useful for metabolite identification. Nevertheless, a rigorous methodology is required. This manuscript describes different steps involved in the structural elucidation of metabolites and demonstrates the utility of HRMS for such purpose. After a brief overview of HRMS performances in terms of mass measurement accuracy, peak resolution, isotopic clusters/patterns and the instrumentation used, the first section is devoted to the data processing generally performed to reduce the data set size. Based on the mass accuracy measurements, different post-acquisition data processing procedures have been developed for complex mixture analysis and can be used in metabolomics. The second section describes protocols used to process putative metabolite annotations or identifications with HRMS data, based on elemental composition determined from accurately measured m/z value and mass spectral databases. Non-classical approaches are also proposed for tentative structure elucidation of unknown metabolites. Finally, limitations of the proposed workflow for metabolite structure elucidation are discussed and possible improvements are proposed.

Rapid identification of haloarchaea and methanoarchaea using the matrix assisted laser desorption/ionization time-of-flight mass spectrometry.

The aim of this study was to classify certain environmental haloarchaea and methanoarchaea using matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), and to expand the archaeal mass spectral database. A total of 69 archaea were collected including type strains and samples isolated locally from different environments. For extraction of the haloarchaeal total cell peptides/proteins, a simple method of acetonitrile extraction was developed. Cluster analysis conducted with the MALDI-TOF MS data overcame the high divergence in intragenomic 16S rRNA sequences in haloarchaea and clearly distinguished Methanohalophilus mahii from M. portucalensis. Putative biomarkers that can distinguish several particular archaeal genera were also assigned. In conclusion, this study expands the mass spectral database of peptide/protein fingerprints from bacteria and fungi to the archaea domain and provides a rapid identification platform for environmental archaeal samples.

Systematic screening and characterization of glycosides in tobacco leaves by liquid chromatography with atmospheric pressure chemical ionization tandem mass spectrometry using neutral loss scan and product ion scan.

Glycosides in tobacco leaves are highly important aromatic precursors. It is necessary to reveal glycosides in tobacco leaves to improve tobacco planting and processing. This study describes a method for the systematic screening of glycosides in tobacco leaves by liquid chromatography with tandem mass spectrometry. Although glycosides contain numerous aglycones, the number of glycans is limited. Based on a screening table of glycans designed for neutral loss scan, glycosides with different aglycones were systematically screened out. Then, the MS(2) fragment spectra of scanned glycosides were further obtained using product ion scan. By comparison with the spectra in online tandem mass spectral databases, reported references, and verification by commercial standards, 64 glycosides were detected, including 39 glycosides linked with monosaccharides, 18 glycosides linked with disaccharides and 7 glycosides linked with trisaccharides. It is noteworthy that glycosides linked with trisaccharides have previously been rarely reported in tobacco. This method appears to be a useful tool for the systematic screening and characterization of glycosides in tobacco and can potentially be applied to other plants.

Lipidomic Analysis of Chlamydomonas reinhardtii under Nitrogen and Sulfur Deprivation.

Chlamydomonas reinhardtii accumulates lipids under complete nutrient starvation conditions while overall growth in biomass stops. In order to better understand biochemical changes under nutrient deprivation that maintain production of algal biomass, we used a lipidomic assay for analyzing the temporal regulation of the composition of complex lipids in C. reinhardtii in response to nitrogen and sulfur deprivation. Using a chip-based nanoelectrospray direct infusion into an ion trap mass spectrometer, we measured a diversity of lipid species reported for C. reinhardtii, including PG phosphatidylglycerols, PI Phosphatidylinositols, MGDG monogalactosyldiacylglycerols, DGDG digalactosyldiacylglycerols, SQDG sulfoquinovosyldiacylglycerols, DGTS homoserine ether lipids and TAG triacylglycerols. Individual lipid species were annotated by matching mass precursors and MS/MS fragmentations to the in-house LipidBlast mass spectral database and MS2Analyzer. Multivariate statistics showed a clear impact on overall lipidomic phenotypes on both the temporal and the nutrition stress level. Homoserine-lipids were found up-regulated at late growth time points and higher cell density, while triacyclglycerols showed opposite regulation of unsaturated and saturated fatty acyl chains under nutritional deprivation.

Identification strategies for flame retardants employing time-of-flight mass spectrometric detectors along with spectral and spectra-less databases.

In the past, the preferred strategy for the identification of unknown compounds was to search in an appropriate mass spectral database for spectra obtained using either electron ionisation (GC-MS analyses) or collision-induced dissociation (LC-MS/MS analyses). Recently, an increase has been seen in the use of accurate mass instruments and spectra-less databases, based on monoisotopic accurate mass alone. In this article, we describe a systematic workflow for the screening and identification of new flame retardants. This approach utilises LC-quadrupole-time-of-flight MS and spectra-less databases based only on monoisotopic accurate mass for the identification of 'unknowns'. An in-house database was built, and the input parameters used in the data analysis process were optimised for flame retardant chemicals, so that it can be easily transferred to other laboratories. The procedure was successfully applied to dust, foam and textiles from car interiors and indoor consumer products. The developed method was demonstrated for the main new flame retardant present in Antiblaze V6 and for the three unreported reaction by-products/impurities present in the same technical mixture. Copyright © 2015 John Wiley & Sons, Ltd.

Evaluation of mass spectral library search algorithms implemented in commercial software.

Performance of several library search algorithms (against EI mass spectral databases) implemented in commercial software products ( acd/specdb, chemstation, gc/ms solution and ms search) was estimated. Test set contained 1000 mass spectra, which were randomly selected from NIST'08 (RepLib) mass spectral database. It was shown that composite (also known as identity) algorithm implemented in ms search (NIST) software gives statistically the best results: the correct compound occupied the first position in the list of possible candidates in 81% of cases; the correct compound was within the list of top ten candidates in 98% of cases. It was found that use of presearch option can lead to rejection of the correct answer from the list of possible candidates (therefore presearch option should not be used, if possible). Overall performance of library search algorithms was estimated using receiver operating characteristic curves.

Erratum to: A new strategy for MS/MS data acquisition applying multiple data dependent experiments on Orbitrap mass spectrometers in non-targeted metabolomic applications

The annotation and identification of metabolites is a current bottleneck in non-targeted metabolomics studies. Although accurate measurement of m/z is applied routinely in UPLC–MS applications to putatively annotate metabolites, the acquisition of MS/MS or MS n data is required to deduce structural information, further reducing the chemical search-space and providing greater confidence in metabolite annotation by comparison to mass spectral databases. Here we propose an innovative new strategy for data dependent acquisition (DDA) for on-line MS/MS data acquisition in parallel to full-scan metabolite profiling on LTQ-Orbitrap mass spectrometers. We recommend the application of different and integrated DDA MS/MS experiments to increase the coverage of unique metabolites for which MS/MS data were acquired. We demonstrate, for the first time, that the integrated application of both CID and higher-energy collisional dissociation ion activation methods, multiple different activation energies and narrow precursor ion m/z ranges of 100 or 300 for acquisition of MS/MS spectra provide complementary information and increases the number of unique metabolites for which MS/MS data is acquired. The strategies herein provide a different approach for data acquisition to increase the number of unique MS/MS mass spectra acquired for metabolite annotation purposes in non-targeted metabolomics studies. MS/MS data are available on request from the corresponding author.

Identification and Classification of Rhizobia by Matrix-Assisted Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry.

Mass spectrometry (MS) has been widely used for specific, sensitive and rapid analysis of proteins and has shown a high potential for bacterial identification and characterization. Type strains of four species of rhizobia and Escherichia coli DH5α were employed as reference bacteria to optimize various parameters for identification and classification of species of rhizobia by matrix-assisted laser desorption/ionization time-of-flight MS (MALDI TOF MS). The parameters optimized included culture medium states (liquid or solid), bacterial growth phases, colony storage temperature and duration, and protein data processing to enhance the bacterial identification resolution, accuracy and reliability. The medium state had little effects on the mass spectra of protein profiles. A suitable sampling time was between the exponential phase and the stationary phase. Consistent protein mass spectral profiles were observed for E. coli colonies pre-grown for 14 days and rhizobia for 21 days at 4°C or 21°C. A dendrogram of 75 rhizobial strains of 4 genera was constructed based on MALDI TOF mass spectra and the topological patterns agreed well with those in the 16S rDNA phylogenetic tree. The potential of developing a mass spectral database for all rhizobia species was assessed with blind samples. The entire process from sample preparation to accurate identification and classification of species required approximately one hour.

Identification of new phytoconstituents and antimicrobial activity in stem bark of Mangifera indica (L.)

Mangifera indica, commonly called mango or amra belonging to a family of Anacardiaceae, is an important medicinal plant widely used in a variety of Ayurvedic preparations. Extract of its bark, leaves, flowers and kernels are being extensively used for curing various chronic diseases. Mango wood is used in yagya as base fire through which medicated smoke is generated. Three new compounds have been isolated from methanolic and hexane extracts of stem bark: 1,2-benzenedicarboxylic acid, mono(2-ethylhexyl)ester and 9,12-tetradecadiene-1-ol-acetate from the hexane extract and 3-chloro-N-(2-phenylethyl) propanamide from the methanolic extract. These were first separated by thin layer chromatography and later in a silica gel column and identified by characteristic infrared bands corresponding to respective functional groups. The compounds were further confirmed on the basis of GC–MS fragmentation pattern after comparing the data with NIST mass spectral database. All three compounds exhibited antimicrobial activity due to triterpenoids and flavonoids. Elemental analyses by INAA show it to be enriched in essential nutrient elements such as Ca, Fe, K, Mn and Zn which all play an important role in enzymatic processes.

Changes in the abundance of sugars and sugar-like compounds in tall fescue (Festuca arundinacea) due to growth in naphthalene-treated sand

The hydrophilic metabolome of tall fescue (Festuca arundinacea) adapted to grow in naphthalene-treated sand (0.8 g kg(-1) sand dw) was analysed using gas chromatography-mass spectrometry, and peaks corresponding to the more abundant compounds were tentatively identified from analysis of their mass spectral features and reference to the NIST Mass Spectral Database. Particular attention was paid to sugars as they are known to play important roles as stress regulators in plants. The results showed that the abundance of sugars was greater in the roots but lesser in the shoots of treated plants when compared to their control counterparts. The results for indole acetic acid (IAA) were notable: IAA was prominently less in the treated roots compared to shoots, and in treated shoots, IAA was particularly subdued compared to untreated shoots consistent with IAA degradation in treated plant tissues. The differences in the molecular phenotype between control and treated plants were expressed in root structural differences. The treated roots were modified to have greater suberisation, enhanced thickening in the endodermis and distortions in the cortical zone as demonstrated through scanning electron and epi-fluorescence microscopy.

Quality Assessment of the Essential Oil from &lt;i&gt;Eucalyptus globulus&lt;/i&gt; Labill of Blida (Algeria) Origin

Despite the reputation earned by aromatic and medicinal plants of Algeria, the chemical constituents of Eucalyptus globulus essential oil (EGEO) of Blida origin has not previously been investigated. Thus, the present study has been conducted for the determination of chemical constituents and different physico-chemical properties of the EGEO. Chemical composition of the EGEO, grown in Algeria, was analysed by Gas Chromatography-Mass Spectrometry. The chemical components were identified on the basis of Retention Time and comparing with mass spectral database of standard compounds. Relative amounts of detected compounds were calculated on the basis of GC peak areas. Fresh leaves of E. globulus on steam distillation yielded 0.96 % (v/w) of essential oil whereas the analysis resulted in the identification of a total of 11 constituents, 1.8 cineole (85.8 %), α-pinene (7.2 %), and β-myrcene (1.5 %) being the main components. Other notable compounds identified in the oil were β-pinene, limonene, α-phellandrene, γ-terpinene, linalool, pinocarveol, terpinen-4-ol, and α-terpineol. The physical properties such as specific gravity, refractive index and optical rotation and the chemical properties such as saponification value, acid number and iodine number of the EGEO were examined. The oil extracted has been analyzed to have 1.4602 - 1.4623 refractive index value, 0.918 - 0.919 specific gravity (sp.gr.), +9 - +10 optical rotation that satisfy the standards stipulated by European Pharmacopeia. All the physical and chemical parameters were in the range indicated by the ISO standards. Our findings will help to access the quality of the Eucalyptus oil which is important in the production of high value essential oils that will help to improve the economic condition of the community as well as the nation.

Quality Assessment of the Essential Oil from &lt;i&gt;Eucalyptus globulus&lt;/i&gt; Labill of Blida (Algeria) Origin

Despite the reputation earned by aromatic and medicinal plants of Algeria, the chemical constituents of Eucalyptus globulus essential oil (EGEO) of Blida origin has not previously been investigated. Thus, the present study has been conducted for the determination of chemical constituents and different physico-chemical properties of the EGEO. Chemical composition of the EGEO, grown in Algeria, was analysed by Gas Chromatography-Mass Spectrometry. The chemical components were identified on the basis of Retention Time and comparing with mass spectral database of standard compounds. Relative amounts of detected compounds were calculated on the basis of GC peak areas. Fresh leaves of E. globulus on steam distillation yielded 0.96 % (v/w) of essential oil whereas the analysis resulted in the identification of a total of 11 constituents, 1.8 cineole (85.8 %), α-pinene (7.2 %), and β-myrcene (1.5 %) being the main components. Other notable compounds identified in the oil were β-pinene, limonene, α-phellandrene, γ-terpinene, linalool, pinocarveol, terpinen-4-ol, and α-terpineol. The physical properties such as specific gravity, refractive index and optical rotation and the chemical properties such as saponification value, acid number and iodine number of the EGEO were examined. The oil extracted has been analyzed to have 1.4602 - 1.4623 refractive index value, 0.918 - 0.919 specific gravity (sp.gr.), +9 - +10 optical rotation that satisfy the standards stipulated by European Pharmacopeia. All the physical and chemical parameters were in the range indicated by the ISO standards. Our findings will help to access the quality of the Eucalyptus oil which is important in the production of high value essential oils that will help to improve the economic condition of the community as well as the nation.

Rapid detection of Bacillus spore aerosol particles by direct in situ analysis using MALDI-TOF mass spectrometry

Accurate and rapid analytical methods are essential for the detection and identification of biological warfare agents (BWA). Although various studies have investigated the use of MALDI-TOF MS for bacterial classification, only a few studies have examined the applicability of method for the identification of BWAs. This study aimed to generate, collect and analyse Bacillus spore aerosol particles of 2-10μm, the optimal size of a BWA. Bacillus spore aerosol particles of 2-10μm were rapidly analysed using direct in situ MALDI-TOF MS without pretreatment processes. A mass spectrum of Bacillus spore aerosol particles was successfully detected. For real-time detection and identification, a mass spectral database of Bacillus spores was constructed, and an algorithm was developed and applied. Bacillus spore particles were rapidly detected and identified by MS, which can be used for the detection and inspection of BWAs. Methods that permit accurate and fast detection and identification are essential in the case of pathogens such as Bacillus anthracis, which can be used as biological warfare agents or bioterrorism materials. Here, direct in situ MALDI-TOF MS allowed the high-throughput detection and identification of aerosolized Bacillus spore particles, and this method could be effectively applied for the detection and inspection of BWAs. In this context, we believe that this method may contribute to the realization of real-time and on-site identification of BWAs.

Monodimensional (GC–FID and GC–MS) and Comprehensive Two‐dimensional Gas Chromatography for the Assessment of Volatiles and Fatty Acids from Ruta chalepensis Aerial Parts

Ruta chalepensis L. (Rutaceae) is widespread in the Mediterranean area. This plant has a solid tradition in ethnomedicine because of its various biological activities. Based on previous reports, the main volatile constituents of R. chalepensis are 2-undecanone and 2-nonanone, but most are still unknown, particularly fatty acid composition. To exhaustively characterise the chemical composition of the aerial parts from R. chalepensis plants collected from the wild in Sicily, within a project aiming at the evaluation and characterisation of medicinal plants from the Mediterranean flora. The study was directed toward the determination of volatiles and fatty acids in samples of R. chalepensis obtained from different aerial plant parts and from plants harvested at different times. GC with flame ionisation detection, GC-MS and two-dimensional gas chromatography (GC × GC) advanced techniques, with support of dedicated mass spectral databases provided with retention index (RI) information, were applied to determine both volatiles and fatty acids. Samples were extracted by hydrodistillation and underwent methylic transesterification in order to be transformed into the correspondent fatty acid methyl esters (FAMEs). The monodimensional analysis by GC-MS with RI confirmed that 2-nonanone and 2-undecanone are the predominant components in all the plant parts, followed by esters and monoterpenes. A different distribution was observed of the main compounds in the various plant parts depending on the life cycle of the plant (vegetative or reproductive stage). The multidimensional GC × GC analysis allowed for a complete screening of the fatty acids. About 65% of the total were polyunsaturated fatty acids (PUFA), followed by 30% of saturated fatty acids (SFA). A detailed GC volatile fingerprint of R. chalepensis flowers, leaves, fruits and stems was established, highlighting the compositional differences depending on plant organs and life cycle. The results indicated R. chalepensis as a good source of fatty acids from the w3 and w6 series. In both essential oil and lipidic extract, many compounds were determined for the first time.

Chemometric Resolution Approaches in Characterisation of Volatile Constituents inPlantago ovataSeeds using Gas Chromatography-Mass Spectrometry: Methodology and Performance Assessment

Comprehensive chemical profiling of herbal medicines (HMs) is a major challenge in chemical characterisation of source materials. Many analytical platforms such as gas chromatography-mass spectrometry (GC-MS) have been applied to the characterisation. However, the great complexity of analytical results has been an obstacle. Chemometric resolution methods as a supplementary tool for data processing are proposed for solving this problem. To develop and demonstrate the ability of chemometric techniques in the characterisation of volatile components in herbal medicines. The volatile components of Plantago ovata were extracted using a solvent extraction method. GC-MS analysis were performed using an Agilent HP-6890 gas chromatograph equipped with a HP-5MS capillary, interfaced with an Agilent HP- 5973 mass selective detector. Resolved spectra were identified by matching against the standard mass spectral database of the National Institute of Standards and Technology (NIST). Results of this study show that the 71 constituents that are qualitatively recognised represent 94.53% of the total relative content of constituents from Plantago ovata oil, whereas without applying the chemometric methods only 51 constituents were recognised by direct searching utilising a mass database. In addition the presence of valuable components such as thymol, 2,4-decadienal, linoleic acid and oleic acid in Plantago ovata oil has been demonstrated. GC-MS combined with chemometric resolution methods, such as multivariate curve resolution-alternating least squares (MCR-ALS), will provide a reliable means for rapid and accurate analyses of unknown complicated practical systems.

Rendering plant emissions of volatile organic compounds during sterilization and cooking processes

The rendering process emits odorous volatile compounds in the atmosphere; if these volatile organic compounds (VOCs) are not handled properly they can cause a serious environmental problem. During this process not all emitted compounds are odorous and hazardous but some of them have been found associated with health problems. Samples were collected in the plastic bags from the Arnout rendering plant. In this study, VOCs emission from two different processes (cooking and sterilization) was compared. For the analysis of various emitted compounds, gas chromatograph and mass spectrophotometer were used. A sterilization process was added in the rendering plant to inactivate the prion protein from meat bone meal prepared during the rendering process. The identification of mass spectrum was performed by using a mass spectral database system. The most odorous classes of compounds identified were aliphatic hydrocarbons (HCs) (29.24%), furans (28.74%), aromatic HCs (18.32%), most important sulphur-containing compounds (12.15%), aldehyde (10.91%) and ketones (0.60%). Emissions released during cooking and sterilization were 32.73×102 and 36.85×102 mg m−3, respectively. In this study, it was observed that after the addition of the sterilization process VOCs’ emissions were increased. A total of 87 mg m−3 dimethyl disulphide (DMS) was detected only during the cooking process, whereas dimethly trisulphide (DMTS) was detected in both cooking (300 mg m−3) and sterilization (301 mg m−3) processes. About 11 mg m−3 of DMS was detected during the cooking process, which was a small concentration compared with 299 mg m−3 found during the sterilization process. At high temperature and pressure, DMTS and DMS were released more than any other sulphur-containing compounds. A condenser was applied to control the combined emission and it was successful in the reduction of VOCs to 22.83×102 mg m−3 (67% reduction).

Winners of CASMI2013: Automated Tools and Challenge Data.

CASMI (Critical Assessment of Small Molecule Identification) is a contest in which participants identify the molecular formula and chemical structure of challenging molecules using blind mass spectra as the challenge data. Seven research teams participated in CASMI2013. The winner of CASMI2013 was the team of Andrew Newsome and Dejan Nikolic, the University of Illinois at Chicago, IL, USA. The team identified 15 among 16 challenge molecules by manually interpreting the challenge data and by searching in-house and public mass spectral databases, and chemical substance and literature databases. MAGMa was selected as the best automated tool of CASMI2013. In some challenges, most of the automated tools successfully identified the challenge molecules, independent of the compound class and magnitude of the molecular mass. In these challenge data, all of the isotope peaks and the product ions essential for the identification were observed within the expected mass accuracy. In the other challenges, most of the automated tools failed, or identified solution candidates together with many false-positive candidates. We then analyzed these challenge data based on the quality of the mass spectra, the dissociation mechanisms, and the compound class and elemental composition of the challenge molecules.