Isotopomer analysis using GC-MS

Knowledge of the complete isotopomer distribution represents the ultimate amount of information on the labeling pattern of a metabolite. One technique for measuring the isotopomer distributions is the analysis of the multiplet intensities arising from the 13C-13C couplings in NMR spectroscopy. While this technique has proven to be very valuable in the elucidation of labeling patterns of C2 and C3 units of various amino acids, fragments larger than C3 are very difficult to measure. Another technique, GC-MS, offers a unique possibility of analyzing fragments larger than C3 and GC-MS is therefore able to give information which is complementary to the information that can be obtained from NMR spectroscopy. In this work we have developed fast, simple, and robust GC-MS methods that can be used to gain information on the labeling patterns of the amino acids in a crude biomass hydrolysate. It is shown that a combination of information obtained from these analyses and information from the NMR spectroscopy is able to yield a much more complete picture of the isotopomer distributions of the amino acids than any of the two techniques alone. The GC-MS method was used for analyzing the labeling patterns of amino acids from a batch cultivation of Penicillium chrysogenum grown on fully labeled glucose. The data from this analysis showed no signs of any significant carbon isotope effects, and the measurements can therefore be used without corrections for metabolic flux analysis.     

Trace analysis of muramic acid in indoor air using an automated derivatization instrument and GC-MS(2) or GC-MS(3)

An automated derivatization instrument has been developed for the preparation of alditol acetates from bacterial hydrolysates for analysis by gas chromatography-mass spectrometry (GC-MS). The current report demonstrates the utility of the automated instrument for the more demanding task of trace analysis of muramic acid (Mur) in airborne dust using gas chromatography-tandem mass spectrometry (GC-MS(2)). Conditions for efficient derivatization of Mur, vital for trace analysis, are rigorous including lactam and imido group formation under anhydrous conditions. Furthermore, as the detection limit is lowered, possible contamination or carry-over of samples becomes an increasingly greater consideration and must not occur. The instrument meets these criteria and was successfully used for assaying the levels of Mur in laboratory air, which were found to be much lower than in the previous studies of heavily occupied schools and agricultural environments. The potential for GC-MS(3) in further lowering the detection limit was also demonstrated.     

Metabolite profiling and assessment of metabolome compartmentation of soybean leaves using non-aqueous fractionation and GC-MS analysis

In the present study, non-aqueous fractionation (NAQF) and GC-MS were used to obtain a spatially resolved view of metabolism in mature leaves of soybean (Glycine max Merr.). NAQF of lyophilized soybean leaves was performed using CCl₄-n-heptane and ultracentrifugation that yielded a gradient comprised of six fractions. Chlorophyll content, and marker enzyme activities, phosphoenolpyruvate carboxylase (PEPC) and α-mannosidase, were utilized as stroma, cytosol and vacuole markers, respectively. GC-MS analyses of each fraction resulted in the identification of around 100 different metabolites. The distribution of these identified compounds showed a decreasing order from the vacuole to cytosol to chloroplast stroma. In other words, a greater number of identified compounds were found in the vacuole when compared to the cytosol or stroma. Levels of sugars, organic acids and fatty acids showed greater relative abundances in the vacuole with 50, 55, and 50% of the respective pools. A greater relative abundance of amino acids was observed in the cytosol where 45% of the total of amino acids content was recorded. The relatively large pool of sugars and phenolic acids in the vacuole compartment implies high levels of starch metabolism and phenylpropanoid biosynthesis. The low amino acids pool, on the other hand, suggests low nitrogen accumulation in the leaves of soybean. Hierarchical cluster analysis on the most abundant metabolites revealed three clusters containing 10, 20, and 2 of the 32 selected metabolites. The data were discussed in term of NAQF and GC-MS analysis of soybean mature leaves, and also in term of distribution and compartmentation of metabolites at subcellular levels.     

Core Fluxome and Metafluxome of Lactic Acid Bacteria under Simulated Cocoa Pulp Fermentation Conditions

In the present work, simulated cocoa fermentation was investigated at the level of metabolic pathway fluxes (fluxome) of lactic acid bacteria (LAB), which are typically found in the microbial consortium known to convert nutrients from the cocoa pulp into organic acids. A comprehensive ¹³C labeling approach allowed to quantify carbon fluxes during simulated cocoa fermentation by (i) parallel ¹³C studies with [¹³C₆]glucose, [1,2-¹³C₂]glucose, and [¹³C₆]fructose, respectively, (ii) gas chromatography-mass spectrometry (GC/MS) analysis of secreted acetate and lactate, (iii) stoichiometric profiling, and (iv) isotopomer modeling for flux calculation. The study of several strains of L. fermentum and L. plantarum revealed major differences in their fluxes. The L. fermentum strains channeled only a small amount (4 to 6%) of fructose into central metabolism, i.e., the phosphoketolase pathway, whereas only L. fermentum NCC 575 used fructose to form mannitol. In contrast, L. plantarum strains exhibited a high glycolytic flux. All strains differed in acetate flux, which originated from fractions of citrate (25 to 80%) and corresponding amounts of glucose and fructose. Subsequent, metafluxome studies with consortia of different L. fermentum and L. plantarum strains indicated a dominant (96%) contribution of L. fermentum NCC 575 to the overall flux in the microbial community, a scenario that was not observed for the other strains. This highlights the idea that individual LAB strains vary in their metabolic contribution to the overall fermentation process and opens up new routes toward streamlined starter cultures. L. fermentum NCC 575 might be one candidate due to its superior performance in flux activity.     

Determination of aldoses and ketoses by GC-MS using differential derivatisation

A method has been established by which to determine aldoses and ketoses in plant material simultaneously. Monosaccharides were extracted by sonication with 80% ethanol and sugar oximes formed by treatment of the resultant extract with hydroxylamine and pyridine at 90 degrees C. After reaction, one aliquot of the product was derivatised with acetic anhydride at 90 degrees C, whilst a second aliquot was silylated with HMDS and TMCS at 80 degrees C. Both reaction mixtures were analysed by GC-MS in the SIM mode. Quantivation was linear within the range 1-4 microg/mL and the detection limit for monosaccharides was 5-25 ng/mL. The absolute recoveries were between 73.0 and 90.2% and the RSDs were 3.1-10.0%. This method was applied to analyse the free monosaccharides in Lyceum barbarum L.; eight monosaccharides were present in amounts between 0.26 and 368.65 microg/mg.     

Photoheterotrophic Fluxome in Synechocystis sp. Strain PCC 6803 and Its Implications for Cyanobacterial Bioenergetics

This study investigated metabolic responses in Synechocystis sp. strain PCC 6803 to photosynthetic impairment. We used 3-(3,4-dichlorophenyl)-1,1-dimethylurea (DCMU; a photosystem II inhibitor) to block O₂ evolution and ATP/NADPH generation by linear electron flow. Based on ¹³C-metabolic flux analysis (¹³C-MFA) and RNA sequencing, we have found that Synechocystis sp. PCC 6803 employs a unique photoheterotrophic metabolism. First, glucose catabolism forms a cyclic route that includes the oxidative pentose phosphate (OPP) pathway and the glucose-6-phosphate isomerase (PGI) reaction. Glucose-6-phosphate is extensively degraded by the OPP pathway for NADPH production and is replenished by the reversed PGI reaction. Second, the Calvin cycle is not fully functional, but RubisCO continues to fix CO₂ and synthesize 3-phosphoglycerate. Third, the relative flux through the complete tricarboxylic acid (TCA) cycle and succinate dehydrogenase is small under heterotrophic conditions, indicating that the newly discovered cyanobacterial TCA cycle (via the γ-aminobutyric acid pathway or α-ketoglutarate decarboxylase/succinic semialdehyde dehydrogenase) plays a minimal role in energy metabolism. Fourth, NAD(P)H oxidation and the cyclic electron flow (CEF) around photosystem I are the two main ATP sources, and the CEF accounts for at least 40% of total ATP generation from photoheterotrophic metabolism (without considering maintenance loss). This study not only demonstrates a new topology for carbohydrate oxidation but also provides quantitative insights into metabolic bioenergetics in cyanobacteria.     

Rapid GC-MS analysis of methamphetamine and its metabolites in urine--application of a short narrow-bore capillary column to GC-MS

A rapid analysis of methamphetamine and its metabolites in urine was performed by gas chromatography-mass spectrometry (GC-MS) using a short narrow-bore capillary column (NBC) (5 m x 0.1 mm I.D.). For detection, selected ion monitoring (SIM) was performed for the characteristic ions of each of the compounds. The analytes were independently detected within 2 min. Linearity was demonstrated over a range from 25-2500 ng/ml. As an application of this study, a urine sample from a drug-abuse suspect was analyzed. The analytes from the actual sample were detected with reasonable reproducibility. The results indicate the possibility of rapid analysis using a conventional GC-MS with a short NBC at a relatively low inlet pressure.     

Automated GC-MS analysis of free amino acids in biological fluids

A gas chromatography-mass spectrometry (GC-MS) method was developed for the quantitative analysis of free amino acids as their propyl chloroformate derivatives in biological fluids. Derivatization with propyl chloroformate is carried out directly in the biological samples without prior protein precipitation or solid-phase extraction of the amino acids, thereby allowing automation of the entire procedure, including addition of reagents, extraction and injection into the GC-MS. The total analysis time was 30 min and 30 amino acids could be reliably quantified using 19 stable isotope-labeled amino acids as internal standards. Limits of detection (LOD) and lower limits of quantification (LLOQ) were in the range of 0.03-12 microM and 0.3-30 microM, respectively. The method was validated using a certified amino acid standard and reference plasma, and its applicability to different biological fluids was shown. Intra-day precision for the analysis of human urine, blood plasma, and cell culture medium was 2.0-8.8%, 0.9-8.3%, and 2.0-14.3%, respectively, while the inter-day precision for human urine was 1.5-14.1%.     

四合木（Tetraena mongolica）茎化学成分的GC-MS分析

近年来,特有植物天然成分分析与开发利用已经成为药物化学研究的热点问题之一[1]。四合木( Tetraena mongolica Maxim.)为蒺藜科( Zygophyllaceae)单属植物,仅分布于内蒙古高原和亚洲中部,为中国特有珍稀植物,也为国家二级濒危植物。四合木在防风固沙和维持荒漠生态系统功能方面具有突出的意义;此外,四合木也极易燃烧,在当地被称为“油柴”,因此,四合木有可能成为新的能源植物。目前,对四合木的相关研究主要集中在种群生态学和保护生物学方面[2-4],对四合木化学成分[5-7]及提取物生物活性[8-9]也进行了相关研究。     

Quantification of D-amino acids in human urine using GC-MS and HPLC

Summary The relative amounts of free D-amino acids (D-AA) in the urine of seven healthy volunteers (age 27 to 49 years) were determined using chiral phase (Chirasil-L-Val) capillary gas chromatography in conjunction with selected ion monitoring mass spectrometry. The absolute amounts of free D-AA were determined by pre-column derivatization of the amino acids witho-phthaldialdehyde andN-isobutyryl-L-cysteine followed by high-performance liquid chromatographic separation and fluorescence detection of the isoindol derivatives formed. The following most abundant D-AA were found (highest and lowest absolute and relative amounts): D-Ser (379.8 — 30.1µMol/L; 56.5 — 19.0%), D-Ala (53.8 — 7.6µMol/L; 19.6 — 5.7%), D-Thr (5.8 — 0.25µMol/L; 3.4 — 1.0%), D-Val (3.7 — 0µMol/L; 4.2 — 0%), and D-Phe (3.5 — 0.35µMol/L; 4.8 — 1.4%).     

Identification of fatty acids by GC-MS using polar siloxane liquid phases

A practical method is described for the unambiguous characterization of all fatty acids in natural mixtures from a single injection into a GC-MS instrument. The fatty acids are separated as the methyl esters on a polar siloxane column which yields resolutions similar to those commonly obtained on polyester columns, but has higher thermal stability. Any leakage of the polar siloxane into the mass spectrometer is further reduced by placing a small amount of a thermally stable methyl siloxane packing at the outlet end of the column which serves as a trap. The glc peaks emerging from such columns yield characteristic mass spectra, including molecular ions, which along with the retention data are adequate for the accurate identification of both saturated and unsaturated fatty acids and dimethyl acetals.     

GC-MS analysis of propolis samples from two different regions of Turkey

Silylated ethanolic extract of two propolis samples from Kazan and Marmaris regions in Turkey were investigated by capillary GC-MS. The compounds were characterized by comparison with library searches. Twenty four compounds from Kazan samples were identified, eight of them were new for propolis. Eighteen compounds from Marmaris samples were identified, two of them were new for propolis.     

基于GC-MS分析短波紫外线处理采后香蕉挥发性组分

应用正交试验优化顶空固相微萃取(HS-SPME)萃取条件,研究经UV-C处理的采后香蕉挥发性组分的变化。通过单因素测定合适的萃取头、萃取前的超声时间、样品量和萃取温度,再利用正交试验获得SPME最佳的萃取参数。在此基础上,测定和鉴定UV-C处理组和对照组香蕉果肉的挥发性化合物,比较两者挥发性成分的差异,评价UV-C处理采后香蕉的香气效果。结果表明,最佳萃取参数为:超声时间20 min、样品量4.0 g、萃取温度50℃,在此条件下鉴定出两组香蕉果肉挥发性组分共169个,主要由酯、醛、酮、醇和其他组成,其中酯类有58个、醛类有34个、酮类有27个、醇类有17个、其他类有33个,UV-C组的总酯含量(76.61%±0.25%)高于对照组的总酯含量(75.98%±0.39%)。两组香蕉的差异代谢挥发性组分共有38个,其中含量下调的有34个,含量上调的有4个。综上分析,采后香蕉经UV-C处理,其挥发性组分会受到影响,但其特征酯类和总酯含量略有提高。香蕉的香气主要源于酯类,UV-C处理进行香蕉贮藏保鲜不仅不会造成香蕉香气下降,反而会使其香气略有增强。     

超临界CO_2萃取黄绿卷毛菇脂肪酸成分的GC-MS分析

超临界CO2萃取黄绿卷毛菇所得产物进行了GC-MS分析,分离和鉴定了25种脂肪酸的成分和含量,其中亚油酸相对含量为10.6%,单不饱和脂肪酸相对含量占31.5%,包括反式油酸、顺式油酸、反式-10-羟基-6-甲氧基-十八烯(10)酸、顺式-10-羟基-6-甲氧基-十八烯(10)酸、反式-11-羟基-5-甲氧基-十八烯(11)酸、顺式-11-羟基-5-甲氧基-十八烯(11)酸、7-甲氧基-11-羟基-二十烯(11)酸和6-甲氧基-12-羟基-二十烯(12)酸等,饱和脂肪酸相对含量占56.9%。     

Neurochemical analysis of amino acids, polyamines and carboxylic acids: GC-MS quantitation of tBDMS derivatives using ammonia positive chemical ionization

The GC-MS quantitation of a large number of neurochemicals utilizing a single derivatization step is not common but is provided by the reagent N-(tert-butyldimethylsilyl)-N-methyltrifluro-acetamide (MTBSTFA). Previous workers have utilized this derivative for GC-MS analyses of amino acids, carboxylic acids and urea with electron impact (EI) and with positive chemical ionization (PCI; methane as reagent gas). However, these conditions yield significant fragmentation, decreasing sensitivity and in some cases reducing specificity for quantitation with selected ion monitoring (SIM). Additionally, the majority of studies have used a single internal standard to quantitate many compounds. In this study we demonstrate that using isotopic dilution combined with ammonia as the reagent gas for PCI analyses, results in high precision and sensitivity in analyzing complex neurochemical mixes. We also demonstrate for the first time the utility of this derivative for the analysis of brain polyamines and the dipeptide cysteinyl glycine. In the case of ammonia as the reagent gas, all amino acids, polyamines and urea yielded strong [MH](+) ions with little or no fragmentation. In the case of carboxylic acids, [M+18](+) ions predominated but [MH](+) ions were also noted. This approach was used to analyze superfusates from hippocampal brain slices and brain tissue extracts from brain lesion studies. The advantages of this methodology include: (i) simple sample preparation; (ii) a single derivatization step; (iii) direct GC-MS analysis of the reaction mix; (iv) high precision as a result of isotopic dilution analyses; (v) high sensitivity and specificity as a result of strong [MH](+) ions with ammonia reagent gas; (vi) no hydrolysis of glutamine to glutamate or asparagine to aspartate; and (vii) applicability to a wide range of neurochemicals.     

GC-MS analysis of bisphenol A in human placental and fetal liver samples

A method based on extraction with acetonitrile, followed by solid-phase extraction, derivatization with acetic anhydride, and isotope dilution gas chromatography-mass spectrometry (GC-MS) analysis was applied to determine levels of free and conjugated BPA in human tissues. β-Glucuronidase was used to de-conjugate the glucuronized BPA in the samples. The method was validated using various animal organ meat samples including pork liver and kidney, beef and calf liver, chicken liver and heart; recoveries were from 85% to 112% at two spiking levels. The average method limit of quantification (LOQ) was estimated at 0.77 ng/g for placenta samples and 1.2 ng/g for fetal liver samples based on 10 times the signal to noise ratio. BPA was detected in all animal tissue samples, with concentrations ranging from 1.8 ng/g in beef and calf livers to 17.1 ng/g in pork kidney. The method was used successfully to determine both free and conjugated BPA levels in human placental and fetal liver tissue samples. BPA was detected in 86% of the placental samples; concentrations of free BPA in the positive samples ranged from 0.60 ng/g to as high as 64 ng/g with an average of 9.5 ng/g and a median of 3.0 ng/g, and conjugated BPA was as high as 7.8 ng/g. BPA was also detected in most of the fetal liver samples (57%); concentrations of free BPA in the positive samples ranged from 1.3 to 27 ng/g with an average of 8.5 ng/g and a median of 3.2 ng/g. Conjugated BPA was also detected in most of the liver samples analysed for total BPA, ranging from 0.64 to 20 ng/g with an average of 3.9 ng/g and a median of 1.5 ng/g. This study, while primarily designed as a method validation, has demonstrated that BPA can be detected in human fetal liver samples as early as the third month of fetal life. Further work will be conducted to validate these preliminary findings.     

Microwave-assisted derivatization of 2,5-hexanedione in urine: evaluation using GC-MS and GC-ECD

2,5-Hexanedione, the main metabolite of n-hexane, can be responsible for axonal degeneration symptoms via formation of pyrrol-adducts with several amino acids. In order to make it amenable to gas chromatographic analysis, a protocol including microwave assisted derivatization is presented and compared to state-of-the-art technique of urine analysis. The applied methodology includes derivatization with O-(2,3,4,5,6-pentafluorobenzyl) hydroxylamine, extraction of the oximes and final analysis using either GC-MS or GC-muECD. Furthermore, the mass spectra of derivatized 2,5-hexanedione and 5-hydroxy-2-hexanone as well as preliminary excretion kinetics are provided. Orthogonal regression methodology demonstrated superior sensitivity for the microwave heating. Limits of detection were calculated to be approximately 20 ng mL(-1) with both MS and electron capture detection, the decompositon of excess derivatizing agent using sulfuric acid, following the reaction is beneficial. A matrix effect caused by urine was not observed, a calibration in aqueous matrix ensures accurate results therefore. Microwave heating yields excellent results regarding recovery, sensitivity and the time needed for sample preparation, furthermore, it is demonstrated that both mass selective as well as electron capture detection are of comparable suitability for this task.     

Metabolic flux analysis of Escherichia coli K12 grown on 13C-labeled acetate and glucose using GC-MS and powerful flux calculation method

A new algorithm was developed for the estimation of the metabolic flux distribution based on GC-MS data of proteinogenic amino acids. By using a sensitive GC-MS protocol as well as by combining the global search algorithm such as the genetic algorithm with the local search algorithm such as the Levenberg-Marquardt algorithm, not only the distribution of the net fluxes in the entire network, but also certain exchange fluxes which contribute significantly to the isotopomer distribution could be quantified. This mass isotopomer analysis could identify the biochemical changes involved in the regulation where acetate or glucose was used as a main carbon source. The metabolic flux analysis clearly revealed that when the specific growth rate increased, only a slight change in flux distribution was observed for acetate metabolism, indicating that subtle regulation mechanism exists in certain key junctions of this network system. Different from acetate metabolism, when glucose was used as a carbon source, as the growth rate increased, a significant increase in relative pentose phosphate pathway (PPP) flux was observed for Escherichia coli K12 at the expense of the citric acid cycle, suggesting that when growing on glucose, the flux catalyzed by isocitrate dehydrogenase could not fully fulfill the NADPH demand for cell growth, causing the oxidative PPP to be utilized to a larger extent so as to complement the NADPH demand. The GC-MS protocol as well as the new algorithm demonstrated here proved to be a powerful tool for characterizing metabolic regulation and can be utilized for strain improvement and bioprocess optimization.