Method Article
This article presents an enhanced form of a novel bottom-up glycomics technique designed to analyze the pooled compositional profile of glycans in unfractionated biofluids through the chemical breakdown of glycans into their constituent linkage-specific monosaccharides for detection by GC-MS. Potential applications include early detection of cancer and other glycan-affective disorders.
Synthesized in a non-template-driven process by enzymes called glycosyltransferases, glycans are key players in various significant intra- and extracellular events. Many pathological conditions, notably cancer, affect gene expression, which can in turn deregulate the relative abundance and activity levels of glycoside hydrolase and glycosyltransferase enzymes. Unique aberrant whole glycans resulting from deregulated glycosyltransferase(s) are often present in trace quantities within complex biofluids, making their detection difficult and sometimes stochastic. However, with proper sample preparation, one of the oldest forms of mass spectrometry (gas chromatography-mass spectrometry, GC-MS) can routinely detect the collection of branch-point and linkage-specific monosaccharides ("glycan nodes") present in complex biofluids. Complementary to traditional top-down glycomics techniques, the approach discussed herein involves the collection and condensation of each constituent glycan node in a sample into a single independent analytical signal, which provides detailed structural and quantitative information about changes to the glycome as a whole and reveals potentially deregulated glycosyltransferases. Improvements to the permethylation and subsequent liquid/liquid extraction stages provided herein enhance reproducibility and overall yield by facilitating minimal exposure of permethylated glycans to alkaline aqueous conditions. Modifications to the acetylation stage further increase the extent of reaction and overall yield. Despite their reproducibility, the overall yields of N-acetylhexosamine (HexNAc) partially permethylated alditol acetates (PMAAs) are shown to be inherently lower than their expected theoretical value relative to hexose PMAAs. Calculating the ratio of the area under the extracted ion chromatogram (XIC) for each individual hexose PMAA (or HexNAc PMAA) to the sum of such XIC areas for all hexoses (or HexNAcs) provides a new normalization method that facilitates relative quantification of individual glycan nodes in a sample. Although presently constrained in terms of its absolute limits of detection, this method expedites the analysis of clinical biofluids and shows considerable promise as a complementary approach to traditional top-down glycomics.
Glycolipids, glycoproteins, proteoglycans, and glycosaminoglycans constitute the four main classes of complex, heterogeneous carbohydrates collectively known as glycans. As ubiquitous and integral components of the plasma membrane, glycocalyx, and extracellular matrix and fluids, glycans partake in such diverse biochemical processes as endocytosis, intracellular trafficking, cell motility, signal transduction, molecular recognition, receptor activation, cell adhesion, host-pathogen interaction, intercellular communication, immunosurveillance, and immune response initiation.1 Present in nearly every domain of life, enzymes known as glycosyltransferases that build glycan polymers act in tandem with glycoside hydrolases (also known as glycosidases, which break down glycans) to construct, remodel, and ultimately produce finalized glycan polymers 2. Although each glycosyltransferase may operate on different glycoconjugates, a glycosyltransferase generally forges a linkage- and anomer-specific glycosidic bond by transferring the monosaccharide moiety of a particular activated nucleotide sugar donor (e.g., GDP-fucose) to a certain category of nucleophilic acceptors (e.g., a lipid, polypeptide, nucleic acid, or growing oligosaccharide). It has been estimated that more than 50% of proteins (especially membrane and secretory proteins) are post-translationally modified by glycosylation.3 Rudimentary combinatorial calculations provide an appreciation for the considerable variability, versatility, and specificity accorded to glycoproteins by glycosylation; for example, if a polypeptide substrate has only 10 glycosylation sites and each site can form a glycosidic linkage with 1 of only 3 different monosaccharide reducing ends, then, theoretically, the final glycoprotein can assume 310 = 59,049 distinct identities. In glycoproteins, glycosidic linkages commonly form with the side-chain nitrogen of asparagine residues in the sequence Asn-X-Ser/Thr (X can be any amino acid except proline) to yield N-glycans2 and side-chain hydroxyls of serine and threonine residues to yield O-glycans4. The composition of a cell's glycome (i.e., its complement of glycosylation products) is unique and limited because, with few exceptions, glycosyltransferases exhibit strict donor, acceptor, and linkage specificity.5 Important and abundant blood plasma glycoproteins suffer aberrant glycosylation as a downstream consequence of abnormal glycosyltransferase expression and activity due to many pathological conditions, especially cancer and inflammatory diseases.6-24
Mainly due to epigenetic factors, the glycome is significantly more diverse, dynamic, and complex than the proteome and transcriptome.25,26 While approximately 1% of the mammalian genome encodes the formation, modification, and assembly of glycans,27 glycosylation proceeds in a non-template-driven manner-a marked contrast to polypeptide and nucleic acid biosynthesis. The interplay among the relative quantity and activity of glycosylation enzymes and such environmental factors as nutrient and precursor availability ultimately determines the nature, rate, and extent of glycosylation.5,28 Embryogenesis (e.g., determination and differentiation), cellular activation, and progression through the cell cycle influence gene expression (i.e., transcription and translation) and alter the identity and quantity of available glycosyltransferases, whose activity is the immediate upstream determinant of the cell's glycan profile. Because (some of) the proliferative, adhesive, and invasive properties of cancerous cells resemble those of ordinary embryogenic cells, specific changes in glycan biosynthetic pathways (e.g., precursor accumulation, deregulated expression, aberrant modification, structural truncation, or novel formation) serve as universal cancer biomarkers that indicate various stages of tumor formation, progression, migration, and invasion.29 Although glycosylation is highly complex, evidently only a few alterations in glycosylation can enable carcinogenesis and metastasis; apparently, certain "aberrant" glycosylation products indeed benefit cancerous cells by enabling them to evade immune recognition and survive the demands of migration in inhospitable intravascular and metastatic environments.28,30,31 Not surprisingly, experiments have revealed that disrupting or preventing patterns of altered gene expression and aberrant glycan formation can halt tumorigenesis.29 Nonetheless, the aberrant glycans detected in a biofluid sample (e.g., urine, saliva, and blood plasma or serum) may not be direct indicators of cancer (or another disease), but rather downstream outcomes of subtle yet significant changes in the immune system or quantifiable ramifications of a pernicious condition in an unpredictable organ.32
Although they provide universal information about the glycome, many molecular interaction-based glycomics techniques (e.g., lectin/antibody arrays and metabolic/covalent labeling) depend upon the detection of whole glycan structures and do not provide detailed structural information about individual glycans. In marked contrast, mass spectrometry (MS) can help identify and quantify individual glycan structures and reveal such structural information as the attachment sites to polypeptide cores. Deregulated expression or activity of only one glycosyltransferase can initiate a cascade of detrimental molecular events in multiple glycosylation pathways. Because each glycosyltransferase may operate on more than one glycoconjugate substrate and across different growing glycan polymers, deregulated biosynthetic cascades yield disproportionally increased amounts of only one glycan product but several heterogeneous classes of aberrant glycans in intra- or extracellular fluids.33 However, such unique aberrant glycans are sometimes considered impractical as biomarkers for cancer or other glycan-affective pathologies because, compared to the large pool of well-regulated glycans, these aberrant glycans represent a very small fraction that may often remain undetectable even by such highly sensitive techniques as mass spectrometry. For example, in intra- and extracellular body fluids, the broad protein-concentration spectrum (which spans eight orders of magnitude) can prevent detection of scarce glycoproteins that are masked by the more abundant species. 32 Moreover, determining glycosyltransferase activity remains a considerable practical and theoretical challenge because many glycosyltransferases are absent in clinical biofluids or become inactive ex vivo. Despite the difficulty of consistently detecting and quantifying ultra-minute quantities of unique whole glycans, practitioners of mass spectrometry have made enormous strides toward employing intact glycans as clinical markers. We have recently developed a complementary approach to the analysis of intact glycans that, employing GC-MS, facilitates the detection of all constituent branch-point and linkage-specific monosaccharides ("glycan nodes") that together impart uniqueness to each glycan and in many cases directly serve as molecular surrogates that quantify the relative activity of the culpable glycosyltransferase(s).
Since its first reported direct application to glycan analysis in 1958, gas chromatography (GC) has proven a powerful technique to analyze per-methylated mono- and disaccharides,34 determine their anomericity and absolute configuration, and separate them for subsequent mass spectrometric analysis.35 Between 1984 and 2007, Ciucanu and colleagues introduced and refined a solid-phase glycan permethylation technique that employed sodium hydroxide and iodomethane, followed by liquid/liquid extraction of permethylated glycans using water and chloroform.35,36 Between 2005 and 2008, Kang and co-workers integrated a time-saving spin-column approach into the permethylation step.37,38 In 2008, the Goetz research group devised a quantitative solid-phase permethylation glycan-profiling method using matrix-assisted laser desorption-ionization (MALDI) mass spectrometry to compare and potentially distinguish invasive and non-invasive breast cancer cells;39 then, in 2009, the Goetz team combined enzymatic and chemical release techniques to cleave O-glycans from intact glycoproteins in a highly alkaline solid-phase permethylation scheme.40 Although the Goetz procedure facilitated simultaneous permethylation and chemical release of O-glycans, it was applied only to pre-isolated glycoproteins. We modified this technique in 2013 and adapted it for whole unfractionated biofluids and homogenized tissue samples by incorporating trifluoroacetic acid (TFA) hydrolysis, reduction, and acetylation steps.33 These additional steps also release glycans from glycolipids and N-linked glycans from glycoproteins and convert them into partially methylated alditol acetates (PMAAs, Figure 1), whose distinctive methylation-and-acetylation patterns facilitate analysis by GC-MS and uniquely characterize the constituent glycan nodes in the original intact glycan polymer41 (Figure 2).33 Ultimately, this procedure produces a composite portrait of all the glycans in a complex biofluid based on direct, relative quantification of unique glycan features such as "core fucosylation", "6-sialylation", "bisecting GlcNAc", and "beta 1-6 branching"-each derived from a single GC-MS chromatographic peak. This article presents further optimization of the permethylation, acetylation, isolation, and clean-up stages along with improvements in the mode of relative quantification.
Caution: Avoid skin/eye contact with any of the reagents used in this experiment. Upon exposure, thoroughly flush the affected area with water and seek immediate medical advice.
1. Permethylation and Glycan Extraction
2. Trifluoroacetic Acid (TFA) Hydrolysis
Caution: Trifluoroacetic acid (TFA) is a corrosive organic acid and toxic irritant.
3. Reduction
4. Acetylation (Performed in a Fume Hood)
5. Gas Chromatography – Mass Spectrometry (GC-MS)
6. Data Analysis
A total ion current chromatogram (TIC) showing successful permethylation, hydrolysis, reduction, and acetylation of human blood plasma samples relative to cases in which two critical permethylation steps were executed incorrectly are shown in Figure 3.
Absolute Yield of HexNAcs Relative to Hexoses:
N-acetylhexosamine (HexNAc) partially methylated alditol acetates (PMAAs) tend to have lower yield than hexoses.43 To estimate the absolute yield of HexNAcs relative to hexoses, six 10-µg samples of N-acetyllactosamine (a Gal1-4GlcNAc disaccharide) in 10 µl of water were analyzed. TIC peak areas for terminal galactose (t-Gal) and 4-GlcNAc were integrated. The percentage of 4-GlcNAc relative to the total amount of t-Gal and 4-GlcNAc was 11.3 ± 0.7% (SEM). Although HexNAc yields are reproducible (see below), the fact that this value is much less than the theoretical value of 0.5 indicates that the yield of HexNAcs is fundamentally lower than that of hexoses. (The HexNAc theoretical yield is 0.5 because N-acetyllactosamine is a 1:1 hexose-HexNAc disaccharide.)
Intra- and Interassay Reproducibility:
Intra- and interassay reproducibility for all glycan nodes contributing at least 1% of the total hexose or HexNAc signal are provided in Table 1. These data were acquired by 3 separate analysts on 3 separate days, using the same stock of EDTA plasma. Autosampler stability data under this optimized protocol for the 18 most abundant glycan nodes in human plasma (i.e., those with > 1% of the total hexose or HexNAc signal) are provided in Figure 4.
Other Notable Observations:
While optimizing the permethylation methodology, we found that it is not necessary to prevent adsorption of water by the NaOH beads prior to initial washing with acetonitrile. We also found that the presence of a small quantity of water during the final acetylation step in combination with a brief period of heating with acetic anhydride without TFA helps to facilitate complete reaction. Finally, the high resolving power of time-of-flight (TOF) mass spectrometry is not necessary for successful glycan node analysis: Initial results based on parallel injection of the same set of samples on a GC-TOF-MS and a traditional transmission quadrupole-based GC-MS operated in selected ion monitoring (SIM) mode demonstrate similar results in terms of the final normalized hexose and HexNAc relative abundances.
Figure 1. Molecular overview of the global glycan methylation analysis procedure. An O-linked glycan is illustrated; these are released during the permethylation process, which has been adapted from Goetz.40 Following permethylation and hydrolysis, monosaccharides are reduced and nascent hydroxyl groups "marked" by acetylation. The unique pattern of methylation and acetylation in the final partially methylated alditol acetates (PMAAs) corresponds to the unique "glycan node" in the original intact polymer and provides the molecular basis for separation and quantification by GC-MS. N-linked and glycolipid glycans are released as linkage-marked monosaccharides during acid hydrolysis. Adapted from Borges et al.33 with permission. Please click here to view a larger version of this figure.
Figure 2. Conceptual overview of the analytical concept. An upregulated glycosyltransferase (e.g., GnT-V) causes an increase in the quantity of a specific, uniquely linked glycan monosaccharide residue (a 2,6-linked Mannose "node" in this example)-which, through the subsequent action of other glycosyltransferases, can lead to formation of a mixture of heterogeneous whole-glycan structures at low copy number each-all of which can be difficult to detect and quantify in routine fashion. Analytically pooling together the "glycan nodes" from amongst all the aberrant glycan structures provides a more direct surrogate measurement of GnT-V activity than any single intact glycan. Simultaneous measurement of N-, O-, and lipid linked "glycan nodes" in whole biospecimens as described here (and originally elsewhere33) represents a conceptually novel means by which to detect and monitor glycan-affective diseases such as cancer. Actual extracted ion chromatograms from 10-microliter blood plasma samples shown. Numbers adjacent to monosaccharide residues in glycan structures indicate the position at which the higher residue is linked to the lower residue. If no linkage positions are indicated in the chromatogram annotation the residue is either in the terminal position or free in solution (e.g., glucose). All residues except sialic acid link downward via their 1-position; sialic acid links downward via its 2-position. Split in chromatogram indicates change in extracted ion chromatograms: m/z 117 +129 for hexose residues and m/z 116 + 158 for N-acetylhexosamine (HexNAc) residues. Adapted from Borges et al.33 with permission. Please click here to view a larger version of this figure.
Figure 3. Representative Results. Total ion current chromatograms (TICs) for glycan node analysis of the same human blood EDTA plasma sample in which A) the sample was processed correctly, B) the white residue in the permethylation solution that was spun through the NaOH column was carried into the subsequent mixture for liquid/liquid extraction, and C) the permethylation solution that was spun through the NaOH column was added to the phosphate buffer but not mixed thoroughly prior to addition of chloroform for liquid/liquid extraction. Legend provided in Figure 2. Please click here to view a larger version of this figure.
Figure 4. Autosampler Stability. Autosampler stability over 48 hours for the 18 most abundant glycan nodes in human plasma. At 22 hours the sample was completely dried and reconstituted in 120 µl acetone. Each cluster of data points represents four consecutive injections of the same sample. Black lines encompass ± 15% of the average normalized value for each glycan node. Please click here to view a larger version of this figure.
Table 1. Intra- and interassay reproducibility. Values represent %CV of total hexose or total HexNAc-normalized individual glycan nodes. All glycan nodes contributing at least 1% of the total hexose or HexNAc signal are listed. Data were acquired by 3 separate analysts on 3 separate days, using the same stock of EDTA plasma. N = 6 samples per batch. Please click here to download this table as an Excel spreadsheet.
In general, the successful production of partially methylated alditol acetates (PMAAs) from hexoses is fraught with fewer difficulties and is more robust than the successful production of N-acetylhexosamine (HexNAc) PMAAs. The exact mechanism behind this phenomenon as it plays out in every step of this procedure is unknown, but must relate to the unique chemistry of the N-acetyl group (rather than hydroxyl group) that is unique to HexNAcs relative to hexoses. The mechanism behind this phenomenon as it relates to acid hydrolysis is explained elsewhere.43 In short, the capacity for the N-methylacetamido to become positively charged during acid hydrolysis makes the glycosidic linkage resistant to acid hydrolysis. This explains the low yield of HexNAc relative to hexose (11.3% of total HexNAc + hexose signal, rather than 50% of total) as described above for the analysis of N-acetyllactosamine. Notably, this relatively lower yield of HexNAcs does not make them difficult to detect in complex biofluids and tissues, or preclude facile detection of glycan nodes derived from large, complex glycans (e.g., 2,4-Man, 2,6-Man, 3,4,6-Man, and 3,4-GlcNAc, Figure 2).33 Given the manner in which XIC peak areas of glycan nodes are normalized (Step 6.3), as long as the relative yield of each individual HexNAc remains consistent relative to other HexNAcs (which it does, see Table 1), useful information on the relative quantities of the different HexNAcs between different samples can be obtained. This holds true for hexoses as well. Moreover, we have previously shown that the ratios of hexoses to HexNAcs display consistent quantitative behavior as well33 — a phenomenon which is continually monitored via incorporation of QC sample(s) in every batch.
The manner in which permethylation is performed has the greatest impact on the overall yield and reproducibility of HexNAc PMAAs. In particular, great care should be taken to completely avoid exposure of permethylated glycans to alkaline aqueous conditions. Two key steps in this regard are 1) leaving all white precipitate in the spin-through solutions behind (Steps 1.3.13 and 1.3.14), and 2) immediately mixing the spin-through solutions once they are added to the phosphate buffer (Steps 1.3.13 and 1.3.14). A buffer rather than simple salt solution is included at this stage and for subsequent liquid/liquid extraction steps to prevent inadvertent alkalinization of the aqueous solution. We suspect that under alkaline conditions the acetyl group of the methylated and acetylated 2-amino group of HexNAcs may undergo hydrolysis, resulting in a more polar secondary amine that decreases the overall extraction efficiency of the associated glycan into chloroform.
The most easily recognizable feature of unsuccessfully permethylated HexNAcs is the intensity of the 4-linked GlcNAc (4-GlcNAc) chromatographic peak relative to those of 6-Gal, 3,6-Man, and the baseline intensity of the background during final column bake-out (Figure 3). When the absolute abundance of the 4-GlcNAc PMAA is low, its normalized abundance relative to all other HexNAcs also tends to be low, with a concomitant increase (most noticeably) of 3,4-GlcNAc.
A few changes designed to optimize overall yield and assay robustness have been made since our initial publication describing this analytical approach.33 One of these changes is the way in which the integrated extracted ion chromatograms (XICs) are normalized: For the sake of simplicity, we now divide the area of each individual hexose XIC by the sum of all hexose XIC areas; likewise, the area of each individual HexNAc XIC is divided by the sum of all HexNAc XIC areas. As seen in Table 1, overall interassay/inter-analyst reproducibility for all glycan nodes that contribute to > 1% of their respective hexose or HexNAc signal averages 13 %CV.
To our knowledge, this is the only incarnation of truly bottom-up glycomics in which glycans are first broken down and then their components analyzed to construct a quantitative sample-wide portrait of glycan composition. Here, instead of traditional enzymatic release, the permethylation process non-reductively eliminates (releases) O-linked glycans from their respective proteins,40 while N-linked glycans are released during acid hydrolysis.33 As a complementary approach to traditional top-down glycomics, this approach is able to pool unique glycan features of interest such as "core fucosylation", "6-sialylation", "bisecting GlcNAc", and "beta 1-6 branching" into single analytical signals (see, 4,6-GlcNAc, 6-Gal, 3,4,6-Man and 2,6-Man nodes in Figure 2, respectively). In traditional top-down approaches, features such as these that ultimately depend on the unique activities of one or two key glycosyltransferases33 are typically distributed across dozens of intact glycans and can sometimes be difficult or impossible to resolve (e.g., 3-sialylation vs. 6-sialylation) due to the degeneracy of some intact glycan masses. Moreover, the bottom-up approach presented here has demonstrated initial promise in non-invasively detecting lung cancer.33 Further studies are underway to validate these initial findings, as well as additional, yet unpublished results pertaining to the detection of other forms of cancer.
The greatest limitation of the approach described here is that it is constrained in terms of its limits of detection, if it were to be applied to pre-isolated glycoproteins. Based on unpublished analyses of individual glycan standards without carrier protein, limits of quantification for individual glycans appear to lie in the low microgram range. These are by no means low LOQs in absolute terms, but this fact does not matter with regard to the originally intended scope of the assay-which was not designed for and has no need to achieve low LOQs (at least for the purposes described here and in our previous publication33). In fact, human plasma/serum contains glycoproteins in the 10s of mg/ml concentration range-meaning that for the analysis of blood plasma/serum we only inject ~ 1/100th of the final sample volume and split 40 out of 41 parts of that small quantity to waste in the GC injector port. Without this practice, some of the glycan nodes can saturate the detector. Picomole quantities of glycoproteins that can produce adequate intact glycan signals by conventional top-down MALDI-MS or LC-MS based approaches cannot be detected with this approach. Further refinement of the methodology is underway to remedy this limitation.
The authors have nothing to disclose.
This work was supported by the College of Liberal Arts and Sciences of Arizona State University in the form of laboratory startup funds to CRB. It was also supported by a grant from Flinn Foundation (Grant No. 1977) and by the National Cancer Institute of the National Institutes of Health under Award Number R33CA191110. JA was supported by the National Institute of General Medical Sciences of the National Institutes of Health Postbaccalalureate Research Education Program (PREP) under award number R25GM071798. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Name | Company | Catalog Number | Comments |
Sodium hydroxide beads | 367176 | Sigma-Aldrich | 20-40 mesh, reagent grade 97% |
0.9 ml Spin column | 69705 | Pierce division of ThermoFisher Scientific | Includes plugs and polyethylene frits |
GC-MS autosampler vial (silanized)* | C4000-9 | ThermoFisher Scientific | Target DP High Recovery Vial, 1.5 ml, 12 mm x 32 mm, includes Teflon-lined pierceable caps |
1.5 ml polypropylene test tubes | 05-402-25 | ThermoFisher Scientific | Snap-cap lid |
2 ml polypropylene test tubes | 05-408-138 | ThermoFisher Scientific | Snap-cap lid |
Dimethyl Sulfoxide (DMSO) | D8418 | Sigma-Aldrich | BioReagent for molecular biology, reagent grade >99.0% |
Iodomethane | I8507 | Sigma-Aldrich | Contains copper as stabilizer, ReagentPlus 99% |
Acetonitrile | A955-4 | ThermoFisher Scientific | Optima LC/MS |
Microcentrifuge | 75002436: Sorvall Legend Micro 17 Centrifuge | ThermoFisher Scientific | 24 x 1.5/2.0 rotor with ClickSeal biocontainment lid. Rotor catalog number: 75003424 |
13 x 100 glass test tube (silanized)* | 53283-800 | VWR | 13 mm x 100 mm borosilicate glass test tubes with screw-cap finish |
Caps for glass test tubes | 14-930-15D | ThermoFisher Scientific | Kimble™ Black Phenolic Screw Caps; 13 mm-415 GPI thread; PTFE-faced rubber liner. |
Sodium chloride | S7653 | Sigma-Aldrich | >99.5% pure |
Chloroform | 4440-08 | Macron Fine Chemicals | |
Trifluoroacetic acid | 299537 | Sigma-Aldrich | 99% purified by redistillation for protein sequencing |
Sodium borohydride | 71321 | Fluka Analytical | 99% |
Ammonium hydroxide solution | 320145 | Sigma-Aldrich | NH3 content: 28.0-30.0% |
Methanol | AH230-4 | Honeywell Burdick & Jackson | HPLC grade |
Acetic acid | 320099 | Sigma-Aldrich | 99.70% |
Plastic vacuum desiccator | Any model of adequate size | FoodSaver | |
Acetic anhydride | 539996 | Sigma-Aldrich | 99.50% |
Dichloromethane | D143SK-4 | ThermoFisher Scientific | Stabilized HPLC grade |
Acetone | 9006-03 | J.T.Baker | Baker Analyzed |
Heated evaporation manifold (main unit) | pi18823 | ThermoFisher Scientific | Thermo Scientific* Reacti-Therm* Heating and Stirring Module; Triple-block Model with Heating and Stirring Function |
Heated evaporation manifold (overhead evaporator) | pi18826 | ThermoFisher Scientific | ThermoScientific* Reacti-Vap Evaporator, 27-port; For use with triple-block Reacti-Therm heating module |
Aluminum sample-holder blocks for evaporation manifold | pi18816 | ThermoFisher Scientific | Block, Aluminum, Reacti-Block S-1, Holds 13 mm dia test tubes, 13 holes (14 mm dia. x 45 mm deep) |
Gas chromatograph | Model A7890 | Agilent | Equipped with CTC PAL autosampler |
Mass spectrometer | GCT Premier (Time-of-Flight) | Waters | |
Split-mode liner (deactivated / silanized) | 5183-4647 | Agilent | Containing a small plug of silanized glass wool |
DB-5ms GC column | 122-5532 | Agilent | 30 m x 0.25 mm ID x 0.25 micron film thickness |
Chlorotrimethylsilane | 95541 | Sigma-Aldrich | |
Glass vacuum desiccator (for glassware silanization) | EW-06536-30 | Cole-Parmer | 12" wide; 230 mm plate size |
*Glassware silanization is carried out in-house, overnight using chlorotrimethylsilane vapor in a large glass vacuum desiccator. |
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